diff --git a/.agents/skills/ak-dev-architecture/SKILL.md b/.agents/skills/ak-dev-architecture/SKILL.md index fbbdda075..08631e725 100644 --- a/.agents/skills/ak-dev-architecture/SKILL.md +++ b/.agents/skills/ak-dev-architecture/SKILL.md @@ -81,7 +81,6 @@ Global orchestrator and agent registry: - **Singleton**: `Runtime.current()` returns the global `GlobalRuntime` instance (or the active context-managed runtime) - **Agent registry**: `register(agent)`, `deregister(agent)`, `agents()` (returns `dict[str, Agent]`) -- **`ensure_agent_available(name)`** (static): the shared precheck for surfaces that commit state *before* the agent runs — a thread write, a scheduled task. Applies the same rule `AgentHandler.initialize` applies when it selects (a named agent must be registered; an unnamed one needs at least one agent to default to) and raises `ValueError("No agent available")`, so an unanswerable request fails while the caller is still listening - **Session store**: `sessions()` returns the configured `SessionStore` - **`run(agent, session, requests, acting_user_id=None) -> AgentReply`**: The central execution method: 1. Acquires session lock (`async with session`) @@ -105,6 +104,7 @@ High-level utility encapsulating a conversation: - Combines a `Runtime`, a selected `Agent`, and a `Session` - **`select(name, session_id)`**: Selects an agent and loads/creates a session +- **`ensure_agent_available(name)`**: the shared availability precheck, kept next to `select()` because it restates exactly the rule `select()` applies (a named agent must be registered; an unnamed one needs at least one agent to default to) and raises `ValueError("No agent available")`. Used by surfaces that commit state *before* the agent runs — a thread write, a scheduled task — so an unanswerable request fails while the caller is still listening, and by `AgentHandler.initialize`, which calls it before selecting so no session is created for a request that cannot be served. Unlike `select()`, which only warns and leaves the agent unselected, this raises - **`run(prompt) -> str`**: Wraps prompt in `AgentRequestText`, calls `runtime.run()`, returns text - **`run_multi(requests, acting_user_id=None) -> AgentReply`**: For multi-modal requests; forwards `acting_user_id` to `runtime.run()` (see Runtime and Session's Reserved keys) - **`stream_multi(requests, acting_user_id=None) -> AsyncGenerator[StreamChunk, None]`**: Calls `runtime.stream()`, yielding `StreamChunk` objects for token-level streaming; forwards `acting_user_id` the same way @@ -300,7 +300,7 @@ platforms own the history), and thread recording does not apply to queue-mode/de ### Key Components -- **`AgentThreadRequestHandler`** (`thread_chat.py`): extends `AgentRESTRequestHandler`, serving the same chat routes with thread recording wrapped around the ChatService execution core (build requests via `RequestBuilder` → `ThreadRecorder.pre_run` → `execute`/`execute_stream` with the prebuilt list → `ThreadRecorder.post_run`), plus the read routes. Fails fast in `__init__` when no `thread` config block exists; prechecks agent availability before any thread write (no phantom threads; the shared `Runtime.ensure_agent_available`); `user_id` is required on its chat routes (and only there). Streaming accumulates deltas and skips recording on an error chunk or empty stream +- **`AgentThreadRequestHandler`** (`thread_chat.py`): extends `AgentRESTRequestHandler`, serving the same chat routes with thread recording wrapped around the ChatService execution core (build requests via `RequestBuilder` → `ThreadRecorder.pre_run` → `execute`/`execute_stream` with the prebuilt list → `ThreadRecorder.post_run`), plus the read routes. Fails fast in `__init__` when no `thread` config block exists; prechecks agent availability before any thread write (no phantom threads; the shared `AgentService.ensure_agent_available`); `user_id` is required on its chat routes (and only there). Streaming accumulates deltas and skips recording on an error chunk or empty stream - **`ThreadRecorder`** (`recorder.py`): the recording logic as a reusable class over `ConversationThreadManager`: `pre_run` (enforce `user_id`, store attachment bytes and rewrite to `AgentRequestAttachmentRef`, get-or-create thread, append user message; `store_attachments` runs first so config rejections leave no phantom thread) and `post_run` (append assistant message) - **`ConversationThreadManager`** (`manager.py`): Service façade owning thread lifecycle (create/load/append/history) and, when multimodal is enabled, saving attachment bytes into the shared `AttachmentStore` before the agent runs. A single process-wide instance (`ConversationThreadManager.get()` / class-level singleton, guarded by an `RLock`) is used by `ThreadRecorder` and `ThreadRESTRequestHandler`: `None` when no `thread` config block is present - **`ThreadStore`** (`store/base.py`): Abstract base with backend persistence methods (create/get/append/list); pluggable per backend @@ -368,13 +368,15 @@ Coupling rules: `core/` reaches `schedule/` only lazily, inside enabled-checks ( ### Key Components - **`ScheduleSpec`** (`core/model.py`, not `schedule/`): the chat-envelope block (`at` | `cron`, `timezone`, `session_mode`). It lives in core beside `BaseChatRequest` so core never imports the capability; structural validation only (exactly one of at/cron) — cron syntax, timezone and "at is in the future" are semantic checks the manager runs -- **Interception point** (`ChatService._maybe_schedule`): all four execution-core entry points check `req.schedule` **before** validation and agent selection, and return an `AgentReplyAny` acknowledgement (`{"status": "SCHEDULED", "scheduled_task_id", "session_id"}`) instead of running. Streaming surfaces yield that acknowledgement as a single terminal `StreamChunk` (not an error chunk). `_record_trigger` (same class, also at the top) records the occurrence of a request that carries `scheduled_task_id`, then lets it run normally — it never raises into the run. The 202 travels through `ChatService._success_status` and, in `rest_api_mode`, a `JSONResponse`; `AgentThreadRequestHandler` checks `req.schedule` before `ThreadRecorder.pre_run`, so a deferred request creates no thread and records no messages -- **`ScheduleManager`** (`manager.py`): process-wide singleton (`ScheduleManager.get()`, `RLock`-guarded, `reset()` for tests) owning semantic validation, ownership (`PermissionError`), the store-then-provider write order with rollback, the frozen trigger body, and occurrence recording. At construction it fails fast (`AKConfigError`) twice: `_validate_transport_compatibility` when the provider cannot deliver to the transport `QueueTransportFactory.resolve_type()` reports, and `_validate_local_provider_topology` when `provider.type` is `local` and either that transport or `store.type` is not `in_memory` — the local heap and the in-memory store are reachable only from their own process's threads, so on a broker transport the management routes (IOHandler process) would amend timers the agent-runner process actually owns. Two methods, not one, because delivery is unaffected: `local` + `sqs` fires correctly and is only unmanageable. `update` is PUT semantics down to the manager: the occurrence rule is replaced **as a unit**, so an amendment naming any of at/cron/timezone/session_mode rebuilds the whole spec from what it carries (omitted fields fall back to their defaults, never to the stored values), while an amendment naming none of them leaves the rule untouched — that is how a prompt-only or pause/resume amendment works. `create` covers all three creation paths (chat block, `create_schedule` tool, BYO caller), so its validation is where a bad task is stopped: owner, prompt and session present, occurrence rule resolvable, and — via `Runtime.ensure_agent_available` — a **named** agent that is actually registered. An unnamed agent is deliberately *not* prechecked: the default is resolved by whichever process fires the occurrence, which need not be this one +- **Interception point** (`ChatService._maybe_schedule`): all four execution-core entry points check `req.schedule` **before** validation and agent selection, and return an `AgentReplyAny` acknowledgement (`{"status": "SCHEDULED", "scheduled_task_id", "session_id"}`) instead of running. Streaming surfaces yield that acknowledgement as a single terminal `StreamChunk` (not an error chunk). `_record_trigger` (same class, also at the top) records the occurrence of a request that carries `scheduled_task_id`, then lets it run normally — it never raises into the run. It forwards `req.user_id`, and `ScheduleManager.record_trigger` records nothing unless that user owns the task (an absent identity is a mismatch): the metadata rides on a client-bindable chat request, so any caller can name any task id, and a forged one would otherwise complete someone else's one-time task. The 202 travels through `ChatService._success_status` and, in `rest_api_mode`, a `JSONResponse`; `AgentThreadRequestHandler` checks `req.schedule` before `ThreadRecorder.pre_run`, so a deferred request creates no thread and records no messages +- **`ScheduleManager`** (`manager.py`): process-wide singleton (`ScheduleManager.get()`, `RLock`-guarded, `reset()` for tests) owning semantic validation, ownership (`PermissionError`), the store-then-provider write order with rollback, the frozen trigger body, and occurrence recording. At construction it fails fast (`AKConfigError`) three times: `_validate_transport_compatibility` when the provider cannot deliver to the transport `QueueTransportFactory.resolve_type()` reports, `_validate_local_provider_topology` when `provider.type` is `local` and either that transport or `store.type` is not `in_memory` — the local heap and the in-memory store are reachable only from their own process's threads, so on a broker transport the management routes (IOHandler process) would amend timers the agent-runner process actually owns — and `_validate_store_topology` when `store.type` is `in_memory` on a broker transport, which splits the records themselves across the runner and IOHandler processes even under a durable provider that manages fine. Three methods, not one, because each constrains a different thing: `local` + `sqs` fires correctly and is only unmanageable, and `eventbridge` + `in_memory` manages correctly but only within one process. `update` is PUT semantics down to the manager: the occurrence rule is replaced **as a unit**, so an amendment naming any of at/cron/timezone/session_mode rebuilds the whole spec from what it carries (omitted fields fall back to their defaults, never to the stored values), while an amendment naming none of them leaves the rule untouched — that is how a prompt-only or pause/resume amendment works. `create` covers all three creation paths (chat block, `create_schedule` tool, BYO caller), so its validation is where a bad task is stopped: owner, prompt and session present, occurrence rule resolvable, and — via `AgentService.ensure_agent_available` — a **named** agent that is actually registered. An unnamed agent is deliberately *not* prechecked: the default is resolved by whichever process fires the occurrence, which need not be this one - **`ScheduledTask` / `ScheduledTaskPage` / `ScheduleStatus`** (`model.py`): the stored record (all JSON primitives, ISO-8601 UTC timestamp strings) and cursor-paginated listings, using the shared `core/util/pagination.py` helpers (`encode_cursor`/`decode_cursor`/`clamp_limit`/`paginate` plus `MAX_PAGE_SIZE` and `DEFAULT_PAGE_SIZE`, the one default the manager and the store signatures beneath it both read). Statuses: `active`, `paused`, `completed`, `cancelled` - **`OccurrenceCalculator`** (`timing.py`): shared interpretation of a spec's occurrence rule — `validate()` for the manager, `next_fire_time()` for the local provider. `croniter` (the `cron` extra) is imported on demand, so `at`-only schedules work without it - **`ScheduleProvider`** (`provider/base.py`): ABC (`create`/`update`/`delete`/`get`) plus `ScheduleProviderFactory`. `supported_transports` (a `ClassVar`, `None` = transport-agnostic) is what the manager's fail-fast reads; `message_group_id(task)` is the shared FIFO-grouping rule (reused session → that session, per-occurrence session → the task) +- **`EventBridgeScheduleProvider`** (`provider/eventbridge.py`, `aws` extra): the durable built-in. One AWS EventBridge Scheduler schedule per task, named `ak-` in the configured group, with the frozen trigger body as the SQS target's static `Input` and the occurrence tokens replaced at registration by the context attributes AWS resolves per firing (``, `` — the second is load-bearing, since a FIFO target Scheduler sends to must use content-based deduplication). It translates the spec itself instead of using `OccurrenceCalculator`: `at(...)` for one-time, and 5-field cron → the 6-field AWS flavor (trailing year `*`, exactly one day field wildcarded to `?`, both constrained → `ValueError`). `ActionAfterCompletion: DELETE` retires a fired one-time schedule (the store record is the audit trail, so `delete` tolerates `ResourceNotFoundException`), `State` carries pause/resume, and `update` re-sends the whole registration because Scheduler has no partial update. Group and name come from the stored `provider_ref` ARN, so renaming the configured group cannot orphan live schedules; every other `ClientError` becomes a `ScheduleError`. `supported_transports = {"sqs"}` — delivery is baked into the registration - **`LocalScheduleProvider`** (`provider/local.py`): the default. One daemon thread per process over a min-heap of armed occurrences guarded by a `threading.Condition`; substitutes the occurrence tokens at fire time and sends into `QueueName.INPUT`. Delivery failures skip the occurrence and leave the next one armed. Armed occurrences do not survive a process restart (documented boundary), and the heap is reachable only from this process's threads, which is what pins the provider to the single-process topology (the manager's second fail-fast) -- **`ScheduleStore`** (`store/base.py`): ABC (`create`/`get`/`update` full-record/`delete` rollback-only/`list`/`record_trigger`/`clear`) plus `ScheduleStoreBuilder`, the `ThreadStoreBuilder` shape (built-in short names, else a dotted path, else `AKConfigError`) +- **`ScheduleStore`** (`store/base.py`): ABC (`create`/`get`/`update` full-record/`delete` rollback-only/`list`/`record_trigger`/`clear`) plus `ScheduleStoreBuilder`, the `ThreadStoreBuilder` shape (built-in short names `in_memory`, `redis`, `valkey`, `dynamodb`, else a dotted path, else `AKConfigError`). A task is one document, so every write is a whole-record write and no backend needs field-level merging; `record_trigger` is a read-modify-write whose occurrence fields are advisory, so concurrent occurrences are last-writer-wins by design +- **Store backends**: `in_memory` (a `ClassVar` dict, single-process, the manager's third fail-fast); `redis`/`valkey` over the shared `_RedisLikeScheduleStore` body (`{prefix}task:{task_id}` documents plus `{prefix}index:user:{user_id}` and `{prefix}index:all` sets, re-`sadd`ed on every write so a TTL-expired index cannot hide a live task, `srem`ed on delete so a rolled-back creation leaves nothing dangling; TTL defaults to **0**, unlike threads, because a task that silently expired would stop firing with no audit trail); `dynamodb` over `DynamoDBDriver` (one item per task, partition key `task_id`, no sort key, the JSON document plus denormalized `user_id`/`updated_at` so a listing can filter and sort without deserializing — listings scan with a filter expression, acceptable at schedule cardinalities) - **`ScheduleRESTRequestHandler`** (`handler.py`): the read-and-manage surface over tasks, extending the shared `AuthorisedRESTRequestHandler` (`api/handler.py`) so bearer parsing and the three 401 details live in one place. Serves `GET /api/v1/schedules` (cursor-paginated list) and `GET`/`PUT`/`DELETE /api/v1/schedules/{task_id}` (read, amend, cancel). **No POST**: creation is the chat API's `schedule` block or the `create_schedule` tool, so callers and agents share one creation path. The manager is resolved per request (`None` → 404 `"Scheduling is not configured"`, the `ThreadRESTRequestHandler` convention), and every route maps manager errors through one `_as_http_error` helper: `PermissionError` → 403 (checked before the `None` → 404), `KeyError` → 404, `ValueError` → 400, anything else (including `ScheduleError`) → 500. With an `Authoriser`, listings are forced to the resolved user and the single-task routes enforce ownership; without one the routes are open. `PUT` takes a `ScheduleAmendment` body carrying the **full** amendable state (prompt, `at`/`cron`/`timezone`/`session_mode`, `status` limited to `active`/`paused`) — an omitted occurrence field clears it. This is the only module in `schedule/` that imports FastAPI, so it is exported lazily from `schedule/__init__.py` (the `agentkernel.pipeline` `__getattr__` pattern) and runner processes never load it - **Mounting**: explicit on any surface — `RESTAPI.run(handlers=[AgentRESTRequestHandler(), ScheduleRESTRequestHandler(authoriser=...)])`. The pipeline single-process topology mounts it for you: `IOHandler.run(authoriser=...)` appends the handler whenever `AKConfig.get().schedule` is present, and calls `ScheduleManager.get()` eagerly at startup so an unusable provider/transport pairing or incomplete provider config fails the boot instead of the first request. `RESTAPI.run()`'s delegation rule is untouched, so an app needing an `Authoriser` in this topology calls `IOHandler.run(authoriser=...)` directly (the parameter is named generically: it protects whatever management routes the topology mounts, not the schedule routes specifically) - **Agent surface** (`tools.py`): five system tools attached by `SystemToolFactory` when the block is present, optionally scoped to `schedule.agents` — `create_schedule`, `list_schedules`, `get_schedule`, `update_schedule`, `delete_schedule`. Sandbox conventions throughout: all `async`, JSON-string returns, `{"error": ...}` on failure, nothing raised into the framework; the capability's whole system-prompt section rides `create_schedule.description` while the other four are `""` (the `if tool.description` filter in `get_system_prompt_suffix`). Every tool acts as the **acting user** — `Session.current().get_volatile_cache().get(ACTING_USER_CACHE_KEY)`, published by `Runtime` for the duration of the run — so an agent can never reach another user's schedules, and a run with no user identity gets an error result rather than an anonymous create. `create_schedule` uses `Session.current().id` as the originating session; `update_schedule` is full-replacement, matching the `PUT` route @@ -405,19 +407,35 @@ occurrence placeholders (`TOKEN_REQUEST_ID`, `TOKEN_OCCURRENCE_TIME` in `model.p ```yaml schedule: # presence enables the capability; a bare block works for local dev provider: - type: local # local (the only built-in today), or a dotted path to a ScheduleProvider + type: local # local | eventbridge, or a dotted path to a ScheduleProvider store: - type: in_memory # in_memory (the only built-in today), or a dotted path to a ScheduleStore + type: in_memory # in_memory | redis | valkey | dynamodb, or a dotted path to a ScheduleStore agents: [planner] # agents the schedule tools attach to; omitted = all agents ``` -`local` and `in_memory` are the only short names the factory and builder accept: the `eventbridge` -provider and the `redis`, `valkey` and `dynamodb` stores are planned (their config blocks are already -declared in `config.py` but inert), so any other short name raises `AKConfigError` today. Store -backends default to `ttl: 0` (unlike threads: a schedule must not silently expire) and the -redis/valkey prefix to `ak:schedule:`. Note the same env-var failure mode threads have: any +Any short name outside those lists raises `AKConfigError`. `eventbridge` additionally requires the +`schedule.provider.eventbridge` block (`group_name`, `role_arn`, `queue_arn` — all three, injected by +the AWS Terraform stack as `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__*`); an incomplete block fails at +factory time. Terraform never sets a `type`, so the application's own `config.yaml` is what selects +`eventbridge` and `dynamodb`. Store backends default to `ttl: 0` (unlike threads: a schedule must not +silently expire) and the redis/valkey prefix to `ak:schedule:`. Note the same env-var failure mode threads have: any `AK_SCHEDULE__*` variable materializes the block and enables the capability with default backends. +Terraform side (`ak-deployment/ak-aws/{containerized,serverless}/`): two flags, both `false` by +default and every resource `count`-gated. `enable_scheduling` creates the +`aws_scheduler_schedule_group` and the `scheduler.amazonaws.com` execution role (with an +`aws:SourceAccount` condition and `sqs:SendMessage` on the input queue), grants both the REST/request +role and the agent-runner role `scheduler:{Create,Update,Delete,Get}Schedule` scoped to +`schedule/${group}/*` plus `iam:PassRole` on that role, and injects the three +`AK_SCHEDULE__PROVIDER__EVENTBRIDGE__*` vars. It also flips the **input queue** (only) to +`content_based_deduplication` — Scheduler cannot set a `MessageDeduplicationId`, and app senders +always send an explicit one, which takes precedence. `create_dynamodb_schedule_table` creates the +`task_id`-keyed table (no sort key, no GSI, TTL on `expiry_time`) and injects +`AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME`. A root `check` block asserts `enable_scheduling` implies +`queue_mode`. The serverless request-handler gets the schedule wiring **unconditionally** under the +flag, unlike the thread wiring which is nulled in queue mode: an app can mount +`ScheduleRESTRequestHandler` on that Lambda. + ## Knowledge Bases (`ak-py/src/agentkernel/knowledgebase/`) Pluggable storage backends agents can read from and write to as tools: @@ -472,13 +490,13 @@ for both Kafka and NATS. Upcoming iterations: pod-direct WebSocket delivery and | Module | Contents | |---|---| | `envelope.py` | `QueueMessage` (`body`, `attributes`, `group_id`, `dedup_id`, `receive_count`, `message_id`, `native` excluded from serialization) + attribute constants `ATTR_REQUEST_ID`/`ATTR_USER_ID`/`ATTR_ENDPOINT_URL`/`ATTR_STATUS_CODE`; `QueueName` (INPUT/OUTPUT) | -| `transport/base.py` | `QueueTransport` (`send`, `create_consumer` hook, `check_consumer_capacity` startup warning hook), `TransportConsumer` (`fetch`/`ack`/`nack`/`dead_letter`/`close` plus `fetch_wait_slice_seconds`: **one instance per consumer thread**), `QueueTransportFactory` (#541 house pattern; `resolve_type()`: explicit `type` wins, else `input.url` implies `sqs`, else `in_memory`; all four built-ins (`in_memory`/`sqs`/`kafka`/`nats`) wired; dotted-path BYO supported) | +| `transport/base.py` | `QueueTransport` (`send`, `create_consumer` hook, `check_consumer_capacity` startup warning hook), `TransportConsumer` (`fetch`/`ack`/`nack`/`dead_letter`/`close` plus `fetch_wait_slice_seconds`: **one instance per consumer thread**), `QueueTransportFactory` (#541 house pattern; `resolve_type()`: returns the declared `execution.queues.type` — mandatory inside a declared block, since per-component queue coordinates made URL sniffing resolve differently in each process — and `in_memory` when no block is declared; all four built-ins (`in_memory`/`sqs`/`kafka`/`nats`) wired; dotted-path BYO supported) | | `transport/in_memory.py` | `InMemoryTransport`: process-wide class-level queues; per-group FIFO with at most one in-flight message per group (groupless messages get synthetic groups); `ack_wait` redelivery with exact `receive_count`; `dedup_window`; blocking fetch; `reset()` for test isolation | | `consumer.py` | `ConsumerLoop`: the generic batch/retry/permanent-failure machinery extracted from `ECSSQSConsumer` (exact log-message parity; `logger` param keeps legacy `ak.ecs.*` logger names) | | `agent_runner.py` | `AgentRunner`/`StreamAgentRunner`: run via `ChatService.process_chat_request`/`process_stream_chat_sync`; forward replies with a `STATUS_CODE` attribute; `_resolve_request_metadata` reads `request_id` from the attributes, else from the body (the scheduled-trigger contract), injecting the resolved `request_id`/`user_id` back into the attributes; per-chunk dedup suffixes `{dedup}-{receive_count}-{i}`; `run()` rejects `in_memory` (single-process runs via `IOHandler`) | | `response_handler.py` | `ResponseHandler`: REST modes write records `{session_id, request_id, status_code, body}`; STREAM + local endpoint routes chunks to `InMemoryResponseStore.add_chunk`; WS push raises until the WS iteration lands | | `request_handler.py` | `RestHandler` (relocated; shim at `deployment/common/rest_handler.py` keeps the `AKConfig` patch target) with three default-preserving seams (`_effective_mode`, `_await_response_record`, `_build_sync_response`); the base polls full records (`get_record`) and honors the stored status for every queue-backed surface, ECS included: `>= 400` → `HTTPException`, `200 < status < 400` → `JSONResponse` (the 202 of a deferred chat), missing → 200; pipeline `RequestHandler`: always queue mode, unset mode → REST_SYNC, SSE bridging from `store.stream`, multipart route only on `in_memory` | -| `response_store/` | Relocated family (`base`/`factory`/`redis`/`valkey`/`dynamodb`; shims left at `deployment/common/response_store.py` and `deployment/aws/core/response_store/`) plus `InMemoryResponseStore` (`get_record` exposes `status_code`; `add_chunk`/`stream` for local SSE) | +| `response_store/` | Relocated family (`base`/`factory`/`redis`/`valkey`/`dynamodb`; shims left at `deployment/common/response_store.py` and `deployment/aws/core/response_store/`); `ResponseStore` exposes both `get_message_with_retry` (body) and `get_record_with_retry` (whole record, for callers that must honor the stored `status_code`) over one shared `_poll_with_retry` budget; plus `InMemoryResponseStore` (`get_record` exposes `status_code`; `add_chunk`/`stream` for local SSE) | | `io_handler.py` | `IOHandler.run(auth_validator=None)`: single-process topology (`in_memory`: rest-api + response-handler + agent-runner threads via `ThreadRunner`) vs two-process (broker: rest-api + response-handler only); startup fail-fasts (ASYNC / STREAM-over-broker → not until the WS iteration; broker transport + in_memory/absent response store → `AKConfigError`). Serves via its own `uvicorn.Server` (`RESTAPI.build_app()` seam) and installs SIGTERM/SIGINT handlers on the main thread: set `shutdown_event`, `server.should_exit`, and `ThreadRunner.shutdown_exit_code = 0` (uvicorn only installs handlers on the main thread, and a container PID 1 with no handler never receives SIGTERM: the containerized e2e hang). `ConsumerLoop` slices fetch waits to ≤1 s so drains are prompt | | `ws/base.py` | Relocated `WebSocketConnectionStoreABC`/`WebSocketHandlerABC` (shim at `deployment/common/websocket_service.py`); registry/push/native-WS handler arrive with the WS iteration | | `thread_runner.py` | Relocated `ThreadRunner` (shim at `deployment/common/thread_runner.py` keeps `import os` for the `os._exit` patch target) | @@ -642,8 +660,8 @@ ak-py/src/agentkernel/ │ ├── timing.py # OccurrenceCalculator (at/cron/timezone interpretation) │ ├── handler.py # ScheduleRESTRequestHandler (management routes; lazily exported) │ ├── tools.py # The five agent-facing system tools -│ ├── provider/ # ScheduleProvider ABC + factory; local (+ planned: eventbridge) -│ └── store/ # ScheduleStore ABC + builder; in_memory (+ planned: redis, valkey, dynamodb) +│ ├── provider/ # ScheduleProvider ABC + factory; local, eventbridge +│ └── store/ # ScheduleStore ABC + builder; in_memory, redis, valkey, dynamodb ├── cli/ # CLI interface │ └── cli.py # Interactive CLI ├── auth/ # Authentication @@ -674,6 +692,7 @@ The containerized deployment runs on ECS Fargate and uses a two-container archit | `ECSSQSConsumer` | `containerized/core/sqs_consumer.py` | Extends `RawQueueConsumer`: SQS long-poll loop, retry/DLQ logic. Since #495 the machinery is the pipeline's `ConsumerLoop` bound to the SQS classmethod surface: public classmethods, raw-record subclass contract, log messages, and patch targets (`…sqs_consumer.time.sleep`) unchanged | | `ThreadRunner` | `pipeline/thread_runner.py` (shim at `deployment/common/thread_runner.py`) | Runs N callables as peer threads (one `threading.Thread` per `Task`, gated by a `Semaphore`) | | `ECSOutputConsumer` | `containerized/akoutputconsumer.py` | Extends `ECSSQSConsumer`: polls Output Queue, writes to DynamoDB or broadcasts via WebSocket | +| `ServerlessAgentRunner` | `serverless/akagentrunner.py` | Extends `LambdaSQSConsumer`: runs `ChatService.process_chat_request` and sends the reply to the Output Queue, forwarding its status as the `ATTR_STATUS_CODE` custom attribute (`on_permanent_failure` sends 500). `ResponseHandler._construct_message_for_store` stores it on the record (absent/unparseable → 200), and `rest_lambda.DefaultEndpointsHandler` replays it: `_get_record` polls `get_record_with_retry`, `_record_response` maps the record to `(statusCode, body)`, and every `_handle_request` operation returns its own status instead of a hardcoded 200 (a missing record keeps its 200 + `NOT_FOUND` body) | | `ECSAgentRunner` | `containerized/akagentrunner.py` | Extends `ECSSQSConsumer`: polls Input Queue, runs the agent, sends to Output Queue. `run()` dispatches to `ECSStreamAgentRunner.run()` when `execution.mode == stream`, re-checked on every call (mirroring `ECSIOHandler.run` and the serverless `ServerlessAgentRunner.handle()`/`ServerlessStreamAgentRunner.handle()` dispatch) | | `ECSStreamAgentRunner` | `containerized/akagentrunner.py` | Extends `ECSAgentRunner`: STREAM-mode sibling: fans out each streamed chunk as its own Output Queue message instead of sending one full response | | `ECSIOHandler` | `containerized/ecs_io_handler.py` | Entrypoint for the IO container: wires REST/WebSocket API + output consumer as peer threads | diff --git a/.agents/skills/ak-dev-testing-conventions/SKILL.md b/.agents/skills/ak-dev-testing-conventions/SKILL.md index 259ccf112..0b222bbd0 100644 --- a/.agents/skills/ak-dev-testing-conventions/SKILL.md +++ b/.agents/skills/ak-dev-testing-conventions/SKILL.md @@ -100,8 +100,9 @@ Tests live in `ak-py/tests/` and follow the naming convention `test_.py` | `test_authoriser_shared.py` | Shared `Authoriser` in `agentkernel.auth`: `AuthValidatorAuthoriser` adaptation, export identity, and the guard that the thread package no longer re-exports it | | `test_schedule_model.py` | `ScheduleSpec` one-of/timezone/session_mode validation, chat-envelope parsing, `ScheduledTask` JSON round trip (JSON primitives only) | | `test_schedule_manager.py` | `ScheduleManager`: `get()` gating + singleton, provider/transport fail-fast, semantic validation matrix (including the named-agent precheck and the unnamed-agent exemption), create ordering + rollback, trigger-body freezing, ownership, amendment rules (occurrence rule replaced as a unit, untouched when the amendment names none of it), cancellation, occurrence recording (never raises) | -| `test_schedule_store.py` | `ScheduleStore` backends (in_memory today) + `ScheduleStoreBuilder` built-in/BYO/unknown-type resolution | +| `test_schedule_store.py` | Every `ScheduleStore` backend against the one contract the in_memory class pins — in_memory, redis/valkey through a fake redis-like client injected as `store._driver._client`, dynamodb through a fake driver whose `table.scan` replays `LastEvaluatedKey` pages — plus index cleanup on delete, TTL behaviour (none by default), and `ScheduleStoreBuilder` built-in/BYO/unknown-type/missing-extra resolution | | `test_schedule_provider_local.py` | `LocalScheduleProvider`: next-fire computation, one-time vs re-armed occurrences, token substitution, body-only delivery into `InMemoryTransport`, pause/delete disarm, `ScheduleProviderFactory` resolution | +| `test_schedule_provider_eventbridge.py` | `EventBridgeScheduleProvider` against a fake `scheduler` client (monkeypatched at the module's own `boto3.client`): exact create/update/delete/get kwargs, `at()` and 5→6-field cron translation with each `?` day case, `ActionAfterCompletion`/`State`/timezone mapping, context-attribute substitution in the target `Input`, FIFO group per session mode, ARN-derived group/name, `ClientError` → `ScheduleError` and the tolerated not-found, plus the factory branch and its incomplete-config error | | `test_schedule_router.py` | `ScheduleRESTRequestHandler`: 404 when unconfigured, the three 401 variants from the shared `AuthorisedRESTRequestHandler`, listings forced to the authorised user, 403-before-404 ordering, PUT amendment happy path + validation 400s, DELETE returning the cancelled task, and the guard that importing the package does not pull in FastAPI | | `test_schedule_tools.py` | Schedule system tools: `SystemToolFactory` registration + `schedule.agents` scoping, prompt-suffix content, disabled short-circuit, acting-user read from the session volatile cache, and each tool's JSON contract including the no-identity and unknown-agent errors | | `test_chat_service_schedule.py` | ChatService interception on all four entry points: 202 wire shapes, streaming terminal chunk, unconfigured 400, occurrence recording, no scheduling field leaking as `AgentRequestAny` | diff --git a/.github/integration-test-config.yaml b/.github/integration-test-config.yaml index c7aa4b760..bec01bf87 100644 --- a/.github/integration-test-config.yaml +++ b/.github/integration-test-config.yaml @@ -52,6 +52,12 @@ weekly: - type: aws-containerized path: examples/aws-containerized/openai-dynamodb-scalable deploy_dir: deploy + # Scheduled/recurring chats: EventBridge Scheduler + DynamoDB schedule store. + # The test suite cancels every schedule it creates (and any the agent registered) on teardown — + # terraform destroy cannot delete a schedule group that still holds schedules. + - type: aws-containerized + path: examples/aws-containerized/openai-schedule + deploy_dir: deploy # AWS Serverless - type: aws-serverless @@ -69,6 +75,11 @@ weekly: - type: aws-serverless path: examples/aws-serverless/openai-auth deploy_dir: deploy + # Scheduled/recurring chats, all three Lambdas in zip mode. Management routes are the custom + # Lambda.register routes (the serverless router is not FastAPI), so the suite drives those. + - type: aws-serverless + path: examples/aws-serverless/schedule-openai + deploy_dir: deploy # Memory options - type: aws-serverless diff --git a/README.md b/README.md index 17bf76a06..cfc8d576a 100644 --- a/README.md +++ b/README.md @@ -124,12 +124,24 @@ Let agents run code and shell commands in an isolated, permission-bounded enviro [Learn more →](https://kernel.yaala.ai/docs/advanced/sandbox) +### ⏰ Deferred & Recurring Chats + +Let a chat run later, or on a schedule — the platform owns the timers, the persistence, and the management API. + +- **Enable it in config** — a `schedule` block is the whole switch; no handler to mount, no code change. +- **One creation path, three callers** — a `schedule` block on any chat request (acknowledged with HTTP 202), the agent's own `create_schedule` tool, or a direct `ScheduleManager` call. +- **Pluggable timers and stores** — `local` (in-process, for development) or AWS EventBridge Scheduler for production; task records in memory, Redis, Valkey, or DynamoDB. +- **Managed over REST** — list, read, amend, pause and cancel via `/api/v1/schedules`, scoped to the owning user by a pluggable `Authoriser`. + +[Learn more →](https://kernel.yaala.ai/docs/advanced/scheduling) + ### 🧠 Memory, Sessions & Knowledge Bases | Layer | Backends | |---|---| | **Session / Memory** | In-memory, Redis, Valkey (AWS), DynamoDB (AWS), Cosmos DB (Azure), Firestore (GCP) | | **Conversation Threads** | Persistent, named threads keyed by `session_id` — in-memory, Redis, Valkey, DynamoDB (AWS), Cosmos DB (Azure), Firestore (GCP) | +| **Scheduled Tasks** | Deferred and recurring chat execution — in-memory, Redis, Valkey, DynamoDB (AWS) task stores; local in-process or AWS EventBridge Scheduler timers | | **Vector Knowledge** | ChromaDB | | **Graph Knowledge** | Neo4j | | **SQL Analytics** | Starburst Galaxy (Trino) | @@ -179,7 +191,7 @@ ak skill install |---|---| | `ak-init` | Scaffold a new project — any framework, any deployment mode | | `ak-build` | Add tools, agents, handoffs — context-aware and framework-specific | -| `ak-add-capabilities` | Wire in guardrails, tracing, sessions, MCP, A2A, hooks, multimodal, conversation threads | +| `ak-add-capabilities` | Wire in guardrails, tracing, sessions, MCP, A2A, hooks, multimodal, conversation threads, scheduled tasks | | `ak-add-integration` | Slack, WhatsApp, Messenger, Instagram, Telegram, Gmail | | `ak-cloud-deploy` | AWS Lambda, ECS, Azure Functions, Container Apps, GCP Cloud Run with full Terraform | | `ak-test` | Fuzzy, judge, and fallback test modes + a debugging playbook | diff --git a/ak-deployment/ak-aws/containerized/README.md b/ak-deployment/ak-aws/containerized/README.md index bb409b4f2..7780644da 100644 --- a/ak-deployment/ak-aws/containerized/README.md +++ b/ak-deployment/ak-aws/containerized/README.md @@ -316,6 +316,46 @@ enable_api_gateway_logs = true Skipping this makes Terraform destroy and recreate these resources, discarding any retained logs. +### Scheduling (EventBridge Scheduler) + +| Variable | Description | Type | Default | Required | +|---|---|---|---|---| +| `enable_scheduling` | Create the EventBridge Scheduler schedule group and the execution role Scheduler assumes to deliver triggers to the Input Queue, grant both ECS task roles `scheduler:*Schedule` + `iam:PassRole` on them, and inject their coordinates. **Requires `queue_mode = true`.** | `bool` | `false` | no | +| `create_dynamodb_schedule_table` | Create the DynamoDB schedule store table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) and inject its generated name as `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` | `bool` | `false` | no | + +```hcl +queue_mode = true +enable_scheduling = true +create_dynamodb_schedule_table = true +``` + +- Off by default; every resource is `count`-gated, so leaving both `false` provisions nothing and + injects nothing. +- **You must also declare the backends in the application's `config.yaml`** — Terraform injects the + group/role/queue/table coordinates but never `schedule.provider.type` or `schedule.store.type` + (the same rule as `thread.type`): + + ```yaml + schedule: + provider: + type: eventbridge + store: + type: dynamodb + ``` + + Setting the flags without this block leaves scheduling on the default `local` provider and + `in_memory` store, and the provisioned group and table sit unused with no error. +- `enable_scheduling` flips the **Input Queue** to `content_based_deduplication = true` (an in-place + update on an existing queue). EventBridge Scheduler cannot set a `MessageDeduplicationId`, so + without it two occurrences carrying an otherwise identical trigger body would collapse into one + inside the 5-minute dedup window. Application senders are unaffected: they always send an explicit + `MessageDeduplicationId`, which takes precedence. The Output Queue is untouched. +- Both task roles get the schedule permissions: the REST service serves the management routes + (amend/cancel reach Scheduler), and the agent runner hosts the `create_schedule` / + `update_schedule` / `delete_schedule` agent tools. +- See the [scheduling guide](https://kernel.yaala.ai/docs/advanced/scheduling) for the application + side. + ## Deployment Modes ### Non-Queue Mode (Default) @@ -587,6 +627,13 @@ output "websocket_api_stage_name" # WebSocket API Gateway stage name output "websocket_endpoint_url" # Management API endpoint used for PostToConnection output "websocket_connection_table_name" # DynamoDB connections table name output "websocket_connection_table_arn" # DynamoDB connections table ARN + +# Scheduling only (`enable_scheduling` / `create_dynamodb_schedule_table`) — null otherwise +output "schedule_group_name" # EventBridge Scheduler schedule-group name +output "schedule_group_arn" # EventBridge Scheduler schedule-group ARN +output "scheduler_execution_role_arn" # Role Scheduler assumes to deliver triggers to the Input Queue +output "schedule_table_name" # DynamoDB schedule store table name +output "schedule_table_arn" # DynamoDB schedule store table ARN ``` ## Requirements diff --git a/ak-deployment/ak-aws/containerized/dynamodb.tf b/ak-deployment/ak-aws/containerized/dynamodb.tf index 54598b7ea..a69906c76 100644 --- a/ak-deployment/ak-aws/containerized/dynamodb.tf +++ b/ak-deployment/ak-aws/containerized/dynamodb.tf @@ -21,6 +21,32 @@ resource "aws_dynamodb_table" "response_store" { tags = merge(var.tags, { Type = "ResponseStore" }) } +# DynamoDB Schedule Store +# Persists the scheduled task records. One item per task, no sort key and no GSI: listings scan with +# a filter expression, which is acceptable at schedule cardinalities. + +resource "aws_dynamodb_table" "schedule_store" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + + name = "${local.prefix}-schedule-store" + billing_mode = "PAY_PER_REQUEST" + hash_key = "task_id" + + attribute { + name = "task_id" + type = "S" + } + + # Enabled so a deployment that opts into `schedule.store.dynamodb.ttl` works; the application's + # TTL defaults to 0, in which case items carry no `expiry_time` and never expire. + ttl { + attribute_name = "expiry_time" + enabled = true + } + + tags = merge(var.tags, { Type = "ScheduleStore" }) +} + # WebSocket connections table, maps user_id <-> connection_id (WebSocket modes only) module "websocket_connections" { diff --git a/ak-deployment/ak-aws/containerized/eventbridge.tf b/ak-deployment/ak-aws/containerized/eventbridge.tf new file mode 100644 index 000000000..3663f43aa --- /dev/null +++ b/ak-deployment/ak-aws/containerized/eventbridge.tf @@ -0,0 +1,63 @@ +# EventBridge Scheduler resources for the scheduling capability. +# The application owns the schedules themselves (one per scheduled task, created at runtime through +# `AKConfig.schedule.provider.type: eventbridge`); Terraform only provisions the group they live in +# and the role Scheduler assumes to deliver each trigger to the Input Queue. + +check "scheduling_requires_queue_mode" { + assert { + condition = var.enable_scheduling ? var.queue_mode : true + error_message = "[IMPORTANT] enable_scheduling requires queue_mode = true: EventBridge Scheduler delivers its triggers to the Input Queue, which only exists in queue mode." + } +} + +resource "aws_scheduler_schedule_group" "schedules" { + count = var.enable_scheduling ? 1 : 0 + + name = "${local.prefix}-schedules" + + tags = merge(var.tags, { Type = "ScheduleGroup" }) +} + +# Execution role Scheduler assumes per occurrence to send the trigger to the Input Queue. +# The application passes this role's ARN when it registers a schedule, which is why both task roles +# also need iam:PassRole on it (see iam.tf and modules/agent-runner/main.tf). + +resource "aws_iam_role" "scheduler_execution" { + count = var.enable_scheduling ? 1 : 0 + + name = "${local.prefix}-scheduler-exec-role" + description = "Role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + + assume_role_policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = "sts:AssumeRole" + Principal = { Service = "scheduler.amazonaws.com" } + Condition = { + StringEquals = { + "aws:SourceAccount" = data.aws_caller_identity.current.account_id + } + } + }] + }) + + tags = var.tags +} + +resource "aws_iam_role_policy" "scheduler_send_to_input_queue" { + count = var.enable_scheduling ? 1 : 0 + + name = "${local.prefix}-scheduler-send-to-input-queue" + role = aws_iam_role.scheduler_execution[0].id + + # No KMS statement: the queues use SQS-managed SSE, not a customer-managed key. + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = ["sqs:SendMessage"] + Resource = module.queues[0].input_queue_arn + }] + }) +} diff --git a/ak-deployment/ak-aws/containerized/iam.tf b/ak-deployment/ak-aws/containerized/iam.tf index 188f123a1..7e60f6899 100644 --- a/ak-deployment/ak-aws/containerized/iam.tf +++ b/ak-deployment/ak-aws/containerized/iam.tf @@ -68,6 +68,70 @@ resource "aws_iam_policy" "rest_service_response_store_policy" { tags = var.tags } +# Scheduling IAM policies (management routes: amend/cancel reach EventBridge Scheduler) + +resource "aws_iam_policy" "rest_service_scheduler_policy" { + count = var.enable_scheduling ? 1 : 0 + + name = "${local.prefix}-rest-svc-scheduler" + description = "Allow REST Service ECS task to manage EventBridge schedules in the AK schedule group" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [ + { + Sid = "ManageSchedules" + Effect = "Allow" + Action = [ + "scheduler:CreateSchedule", + "scheduler:UpdateSchedule", + "scheduler:DeleteSchedule", + "scheduler:GetSchedule" + ] + Resource = "arn:aws:scheduler:*:${data.aws_caller_identity.current.account_id}:schedule/${local.schedule_group_name}/*" + }, + { + # Scheduler assumes the execution role, so registering a schedule passes it. + Sid = "PassSchedulerExecutionRole" + Effect = "Allow" + Action = ["iam:PassRole"] + Resource = local.scheduler_execution_role_arn + } + ] + }) + + tags = var.tags +} + +resource "aws_iam_policy" "rest_service_schedule_store_policy" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + + name = "${local.prefix}-rest-svc-schedule-store" + description = "Allow REST Service ECS task to read/write the DynamoDB schedule store" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [ + { + Effect = "Allow" + Action = [ + "dynamodb:DescribeTable", + "dynamodb:GetItem", + "dynamodb:PutItem", + "dynamodb:UpdateItem", + "dynamodb:DeleteItem", + "dynamodb:Query", + "dynamodb:Scan" + ] + # No /index/* : listings Scan, this table has no GSI. + Resource = local.dynamodb_schedule_table_arn + } + ] + }) + + tags = var.tags +} + resource "aws_iam_role_policy_attachment" "rest_service_sqs_attachment" { count = var.queue_mode ? 1 : 0 role = module.rest_service.task_role_name @@ -80,6 +144,18 @@ resource "aws_iam_role_policy_attachment" "rest_service_response_store_attachmen policy_arn = aws_iam_policy.rest_service_response_store_policy[0].arn } +resource "aws_iam_role_policy_attachment" "rest_service_scheduler_attachment" { + count = var.enable_scheduling ? 1 : 0 + role = module.rest_service.task_role_name + policy_arn = aws_iam_policy.rest_service_scheduler_policy[0].arn +} + +resource "aws_iam_role_policy_attachment" "rest_service_schedule_store_attachment" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + role = module.rest_service.task_role_name + policy_arn = aws_iam_policy.rest_service_schedule_store_policy[0].arn +} + # REST service WebSocket IAM policies (async / stream modes) # Push messages to connected clients (PostToConnection). diff --git a/ak-deployment/ak-aws/containerized/modules/README.md b/ak-deployment/ak-aws/containerized/modules/README.md index 88d391983..a9ddc4195 100644 --- a/ak-deployment/ak-aws/containerized/modules/README.md +++ b/ak-deployment/ak-aws/containerized/modules/README.md @@ -152,6 +152,15 @@ rest_service = { - `AK_EXECUTION__QUEUES__BATCH_SIZE` (if queue mode enabled, from root `queue_config.batch_size`) - `AK_EXECUTION__MODE` (`async` or `stream`, WebSocket mode only) - `AK_WEBSOCKET_API__CHAT_ROUTE`, `AK_WEBSOCKET_API__ENDPOINT_URL`, `AK_WEBSOCKET_API__CONNECTION_TABLE__TABLE_NAME` (WebSocket mode only) +- `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME`, `__ROLE_ARN`, `__QUEUE_ARN` (if `enable_scheduling`) +- `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` (if `create_dynamodb_schedule_table`) + + > Terraform never injects `AK_SCHEDULE__PROVIDER__TYPE` or `AK_SCHEDULE__STORE__TYPE` — the + > application declares `schedule.provider.type: eventbridge` and `schedule.store.type: dynamodb` + > in its committed `config.yaml`, the same rule as `thread.type`. Because any `AK_SCHEDULE__*` + > variable is enough to populate the config block, the injected variables *alone* would enable + > scheduling on the default `local`/`in_memory` backends: the provisioned group and table would + > sit unused. #### WebSocket Mode @@ -238,6 +247,8 @@ scaling_config = { - `AK_SESSION__DYNAMODB__TABLE_NAME` (if DynamoDB memory table enabled) - `AK_EXECUTION__MODE` (`async` or `stream`, WebSocket mode only — lets the agent runner forward the `endpoint_url` custom attribute to the Output Queue so the REST/IO service can push the reply) +- `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME`, `__ROLE_ARN`, `__QUEUE_ARN` (if `enable_scheduling`) +- `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` (if `create_dynamodb_schedule_table`) **Auto Scaling Behavior**: When `scaling_config.enabled = true`: diff --git a/ak-deployment/ak-aws/containerized/modules/agent-runner/main.tf b/ak-deployment/ak-aws/containerized/modules/agent-runner/main.tf index 13008a40b..1f094c054 100644 --- a/ak-deployment/ak-aws/containerized/modules/agent-runner/main.tf +++ b/ak-deployment/ak-aws/containerized/modules/agent-runner/main.tf @@ -17,6 +17,17 @@ locals { var.dynamodb_thread_table_arn != null ? { AK_THREAD__DYNAMODB__TABLE_NAME = var.dynamodb_thread_table_name } : {}, + # Scheduling: the group/role/queue coordinates only. `schedule.provider.type` and + # `schedule.store.type` are deliberately never injected — the application declares them in its + # committed config.yaml, exactly like `thread.type`. + var.enable_scheduling ? { + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME = var.schedule_group_name + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN = var.scheduler_execution_role_arn + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN = var.input_queue_arn + } : {}, + var.dynamodb_schedule_table_arn != null ? { + AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME = var.dynamodb_schedule_table_name + } : {}, # WebSocket modes: full response (async) vs per-token chunks (stream). contains(["async", "stream"], var.execution_mode) ? { AK_EXECUTION__MODE = var.execution_mode @@ -191,6 +202,76 @@ resource "aws_iam_role_policy_attachment" "agent_runner_dynamodb_thread_attachme policy_arn = aws_iam_policy.agent_runner_dynamodb_thread_policy[0].arn } +# Scheduling IAM policies (the create_schedule/update_schedule/delete_schedule agent tools) + +resource "aws_iam_policy" "agent_runner_scheduler_policy" { + count = var.enable_scheduling ? 1 : 0 + name = "${var.prefix}-agent-runner-scheduler" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [ + { + Sid = "ManageSchedules" + Effect = "Allow" + Action = [ + "scheduler:CreateSchedule", + "scheduler:UpdateSchedule", + "scheduler:DeleteSchedule", + "scheduler:GetSchedule" + ] + Resource = "arn:aws:scheduler:*:${var.account_id}:schedule/${var.schedule_group_name}/*" + }, + { + # Scheduler assumes the execution role, so registering a schedule passes it. + Sid = "PassSchedulerExecutionRole" + Effect = "Allow" + Action = ["iam:PassRole"] + Resource = var.scheduler_execution_role_arn + } + ] + }) + + tags = var.tags +} + +resource "aws_iam_role_policy_attachment" "agent_runner_scheduler_attachment" { + count = var.enable_scheduling ? 1 : 0 + role = aws_iam_role.agent_runner_task_role.name + policy_arn = aws_iam_policy.agent_runner_scheduler_policy[0].arn +} + +resource "aws_iam_policy" "agent_runner_schedule_store_policy" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + name = "${var.prefix}-agent-runner-schedule-store" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = [ + "dynamodb:DescribeTable", + "dynamodb:GetItem", + "dynamodb:PutItem", + "dynamodb:UpdateItem", + "dynamodb:DeleteItem", + "dynamodb:Query", + "dynamodb:Scan" + ] + # No /index/* : listings Scan, this table has no GSI. + Resource = var.dynamodb_schedule_table_arn + }] + }) + + tags = var.tags +} + +resource "aws_iam_role_policy_attachment" "agent_runner_schedule_store_attachment" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + role = aws_iam_role.agent_runner_task_role.name + policy_arn = aws_iam_policy.agent_runner_schedule_store_policy[0].arn +} + # ECS Resources resource "aws_security_group" "agent_runner" { diff --git a/ak-deployment/ak-aws/containerized/modules/agent-runner/variables.tf b/ak-deployment/ak-aws/containerized/modules/agent-runner/variables.tf index 64ae59b89..372d4e228 100644 --- a/ak-deployment/ak-aws/containerized/modules/agent-runner/variables.tf +++ b/ak-deployment/ak-aws/containerized/modules/agent-runner/variables.tf @@ -111,6 +111,42 @@ variable "dynamodb_thread_table_name" { default = null } +variable "enable_scheduling" { + type = bool + description = "Whether the EventBridge Scheduler resources are provisioned" + default = false +} + +variable "schedule_group_name" { + type = string + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + default = null +} + +variable "scheduler_execution_role_arn" { + type = string + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + default = null +} + +variable "create_dynamodb_schedule_table" { + type = bool + description = "Whether the DynamoDB schedule store table is created" + default = false +} + +variable "dynamodb_schedule_table_arn" { + type = string + description = "DynamoDB schedule store table ARN" + default = null +} + +variable "dynamodb_schedule_table_name" { + type = string + description = "DynamoDB schedule store table name" + default = null +} + variable "agent_runner" { description = "Agent runner configuration object" type = object({ diff --git a/ak-deployment/ak-aws/containerized/modules/queues/main.tf b/ak-deployment/ak-aws/containerized/modules/queues/main.tf index a199ed664..1ab019ebf 100644 --- a/ak-deployment/ak-aws/containerized/modules/queues/main.tf +++ b/ak-deployment/ak-aws/containerized/modules/queues/main.tf @@ -15,7 +15,7 @@ module "input_queue" { is_production = var.env_alias == "prod" fifo_queue = true - content_based_deduplication = false + content_based_deduplication = var.input_content_based_deduplication deduplication_scope = "messageGroup" fifo_throughput_limit = "perMessageGroupId" diff --git a/ak-deployment/ak-aws/containerized/modules/queues/variables.tf b/ak-deployment/ak-aws/containerized/modules/queues/variables.tf index 31391c952..81d2cd7ba 100644 --- a/ak-deployment/ak-aws/containerized/modules/queues/variables.tf +++ b/ak-deployment/ak-aws/containerized/modules/queues/variables.tf @@ -41,6 +41,12 @@ variable "queue_config" { }) } +variable "input_content_based_deduplication" { + type = bool + description = "Enable content-based deduplication on the Input Queue. Required when EventBridge Scheduler targets it: Scheduler cannot set a MessageDeduplicationId, so without it two occurrences of an otherwise identical trigger body would collapse into one. Application senders are unaffected — an explicit MessageDeduplicationId always takes precedence" + default = false +} + variable "tags" { type = map(string) description = "Resource tags" diff --git a/ak-deployment/ak-aws/containerized/modules/rest-service/main.tf b/ak-deployment/ak-aws/containerized/modules/rest-service/main.tf index 5d0381fd4..7e6f23639 100644 --- a/ak-deployment/ak-aws/containerized/modules/rest-service/main.tf +++ b/ak-deployment/ak-aws/containerized/modules/rest-service/main.tf @@ -13,6 +13,17 @@ locals { var.dynamodb_thread_table_arn != null ? { AK_THREAD__DYNAMODB__TABLE_NAME = var.dynamodb_thread_table_name } : {}, + # Scheduling: the group/role/queue coordinates only. `schedule.provider.type` and + # `schedule.store.type` are deliberately never injected — the application declares them in its + # committed config.yaml, exactly like `thread.type`. + var.enable_scheduling ? { + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME = var.schedule_group_name + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN = var.scheduler_execution_role_arn + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN = var.input_queue_arn + } : {}, + var.dynamodb_schedule_table_arn != null ? { + AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME = var.dynamodb_schedule_table_name + } : {}, # Queue mode — inject queue URLs and batch size var.queue_mode ? { AK_EXECUTION__QUEUES__INPUT__URL = var.input_queue_url diff --git a/ak-deployment/ak-aws/containerized/modules/rest-service/variables.tf b/ak-deployment/ak-aws/containerized/modules/rest-service/variables.tf index 726573910..8a7aa41c0 100644 --- a/ak-deployment/ak-aws/containerized/modules/rest-service/variables.tf +++ b/ak-deployment/ak-aws/containerized/modules/rest-service/variables.tf @@ -107,6 +107,42 @@ variable "dynamodb_thread_table_name" { default = null } +variable "enable_scheduling" { + type = bool + description = "Whether the EventBridge Scheduler resources are provisioned" + default = false +} + +variable "schedule_group_name" { + type = string + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + default = null +} + +variable "scheduler_execution_role_arn" { + type = string + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + default = null +} + +variable "create_dynamodb_schedule_table" { + type = bool + description = "Whether the DynamoDB schedule store table is created" + default = false +} + +variable "dynamodb_schedule_table_arn" { + type = string + description = "DynamoDB schedule store table ARN" + default = null +} + +variable "dynamodb_schedule_table_name" { + type = string + description = "DynamoDB schedule store table name" + default = null +} + variable "rest_service" { description = "REST service configuration object" type = object({ @@ -128,6 +164,12 @@ variable "queue_mode" { default = false } +variable "input_queue_arn" { + type = string + description = "SQS Input Queue ARN (queue mode only) — the target EventBridge Scheduler delivers scheduled triggers to" + default = null +} + variable "input_queue_url" { type = string description = "Input queue URL (for queue mode)" diff --git a/ak-deployment/ak-aws/containerized/outputs.tf b/ak-deployment/ak-aws/containerized/outputs.tf index dbd35650d..edf87677a 100644 --- a/ak-deployment/ak-aws/containerized/outputs.tf +++ b/ak-deployment/ak-aws/containerized/outputs.tf @@ -122,3 +122,30 @@ output "websocket_api_cloudwatch_log_group_name" { description = "Name of the CloudWatch log group for the WebSocket API Gateway (null when access logging is disabled)" value = local.is_websocket_mode && var.enable_api_gateway_logs ? aws_cloudwatch_log_group.ws_api[0].name : null } + +# Scheduling outputs (null unless the matching flag is set) + +output "schedule_group_name" { + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + value = local.schedule_group_name +} + +output "schedule_group_arn" { + description = "EventBridge Scheduler schedule-group ARN" + value = local.schedule_group_arn +} + +output "scheduler_execution_role_arn" { + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + value = local.scheduler_execution_role_arn +} + +output "schedule_table_name" { + description = "DynamoDB schedule store table name" + value = local.dynamodb_schedule_table_name +} + +output "schedule_table_arn" { + description = "DynamoDB schedule store table ARN" + value = local.dynamodb_schedule_table_arn +} diff --git a/ak-deployment/ak-aws/containerized/queue_mode.tf b/ak-deployment/ak-aws/containerized/queue_mode.tf index 29b541237..7c3893fcf 100644 --- a/ak-deployment/ak-aws/containerized/queue_mode.tf +++ b/ak-deployment/ak-aws/containerized/queue_mode.tf @@ -13,6 +13,9 @@ module "queues" { queue_config = var.queue_config + # EventBridge Scheduler cannot set a MessageDeduplicationId on the triggers it delivers. + input_content_based_deduplication = var.enable_scheduling + tags = var.tags } @@ -39,14 +42,20 @@ module "agent_runner" { output_queue_url = module.queues[0].output_queue_url output_queue_arn = module.queues[0].output_queue_arn - redis_url = local.redis_url - valkey_url = local.valkey_url - create_dynamodb_memory_table = var.create_dynamodb_memory_table - dynamodb_memory_table_arn = local.dynamodb_memory_table_arn - dynamodb_memory_table_name = local.dynamodb_memory_table_name - create_dynamodb_thread_table = var.create_dynamodb_thread_table - dynamodb_thread_table_arn = local.dynamodb_thread_table_arn - dynamodb_thread_table_name = local.dynamodb_thread_table_name + redis_url = local.redis_url + valkey_url = local.valkey_url + create_dynamodb_memory_table = var.create_dynamodb_memory_table + dynamodb_memory_table_arn = local.dynamodb_memory_table_arn + dynamodb_memory_table_name = local.dynamodb_memory_table_name + create_dynamodb_thread_table = var.create_dynamodb_thread_table + dynamodb_thread_table_arn = local.dynamodb_thread_table_arn + dynamodb_thread_table_name = local.dynamodb_thread_table_name + enable_scheduling = var.enable_scheduling + schedule_group_name = local.schedule_group_name + scheduler_execution_role_arn = local.scheduler_execution_role_arn + create_dynamodb_schedule_table = var.create_dynamodb_schedule_table + dynamodb_schedule_table_arn = local.dynamodb_schedule_table_arn + dynamodb_schedule_table_name = local.dynamodb_schedule_table_name agent_runner = { cpu = var.agent_runner.cpu diff --git a/ak-deployment/ak-aws/containerized/rest_service.tf b/ak-deployment/ak-aws/containerized/rest_service.tf index 99a234c95..2a311656d 100644 --- a/ak-deployment/ak-aws/containerized/rest_service.tf +++ b/ak-deployment/ak-aws/containerized/rest_service.tf @@ -19,14 +19,20 @@ module "rest_service" { service_name = local.service_name container_name = local.container_name - redis_url = local.redis_url - valkey_url = local.valkey_url - create_dynamodb_memory_table = var.create_dynamodb_memory_table - dynamodb_memory_table_arn = local.dynamodb_memory_table_arn - dynamodb_memory_table_name = local.dynamodb_memory_table_name - create_dynamodb_thread_table = var.create_dynamodb_thread_table - dynamodb_thread_table_arn = local.dynamodb_thread_table_arn - dynamodb_thread_table_name = local.dynamodb_thread_table_name + redis_url = local.redis_url + valkey_url = local.valkey_url + create_dynamodb_memory_table = var.create_dynamodb_memory_table + dynamodb_memory_table_arn = local.dynamodb_memory_table_arn + dynamodb_memory_table_name = local.dynamodb_memory_table_name + create_dynamodb_thread_table = var.create_dynamodb_thread_table + dynamodb_thread_table_arn = local.dynamodb_thread_table_arn + dynamodb_thread_table_name = local.dynamodb_thread_table_name + enable_scheduling = var.enable_scheduling + schedule_group_name = local.schedule_group_name + scheduler_execution_role_arn = local.scheduler_execution_role_arn + create_dynamodb_schedule_table = var.create_dynamodb_schedule_table + dynamodb_schedule_table_arn = local.dynamodb_schedule_table_arn + dynamodb_schedule_table_name = local.dynamodb_schedule_table_name rest_service = { cpu = var.rest_service.cpu @@ -41,6 +47,7 @@ module "rest_service" { } queue_mode = var.queue_mode + input_queue_arn = var.queue_mode ? module.queues[0].input_queue_arn : null input_queue_url = var.queue_mode ? module.queues[0].input_queue_url : null output_queue_url = var.queue_mode ? module.queues[0].output_queue_url : null response_store_table_name = (var.queue_mode && !local.is_websocket_mode) ? aws_dynamodb_table.response_store[0].name : null diff --git a/ak-deployment/ak-aws/containerized/state.tf b/ak-deployment/ak-aws/containerized/state.tf index 66e723f20..cd6b85e0b 100644 --- a/ak-deployment/ak-aws/containerized/state.tf +++ b/ak-deployment/ak-aws/containerized/state.tf @@ -4,18 +4,23 @@ data "aws_vpc" "provided" { } locals { - vpc_id = var.vpc_id != null ? var.vpc_id : module.vpc[0].vpc_id - vpc_cidr = var.vpc_id != null ? data.aws_vpc.provided[0].cidr_block : var.vpc_cidr - subnet_ids = var.vpc_id != null ? var.private_subnet_ids : module.vpc[0].private_subnet_ids - redis_url = var.create_redis_cluster == true ? module.redis[0].url : null - valkey_url = var.create_valkey_cluster == true ? module.valkey[0].url : null - dynamodb_memory_table_arn = var.create_dynamodb_memory_table == true ? module.dynamodb_memory[0].table_arn : null - dynamodb_memory_table_name = var.create_dynamodb_memory_table == true ? module.dynamodb_memory[0].table_name : null - dynamodb_thread_table_arn = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_arn : null - dynamodb_thread_table_name = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_name : null - prefix = "${var.product_alias}-${var.env_alias}-${var.module_name}" - service_name = "${local.prefix}-service" - container_name = "${local.prefix}-app" + vpc_id = var.vpc_id != null ? var.vpc_id : module.vpc[0].vpc_id + vpc_cidr = var.vpc_id != null ? data.aws_vpc.provided[0].cidr_block : var.vpc_cidr + subnet_ids = var.vpc_id != null ? var.private_subnet_ids : module.vpc[0].private_subnet_ids + redis_url = var.create_redis_cluster == true ? module.redis[0].url : null + valkey_url = var.create_valkey_cluster == true ? module.valkey[0].url : null + dynamodb_memory_table_arn = var.create_dynamodb_memory_table == true ? module.dynamodb_memory[0].table_arn : null + dynamodb_memory_table_name = var.create_dynamodb_memory_table == true ? module.dynamodb_memory[0].table_name : null + dynamodb_thread_table_arn = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_arn : null + dynamodb_thread_table_name = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_name : null + dynamodb_schedule_table_arn = var.create_dynamodb_schedule_table == true ? aws_dynamodb_table.schedule_store[0].arn : null + dynamodb_schedule_table_name = var.create_dynamodb_schedule_table == true ? aws_dynamodb_table.schedule_store[0].name : null + schedule_group_name = var.enable_scheduling ? aws_scheduler_schedule_group.schedules[0].name : null + schedule_group_arn = var.enable_scheduling ? aws_scheduler_schedule_group.schedules[0].arn : null + scheduler_execution_role_arn = var.enable_scheduling ? aws_iam_role.scheduler_execution[0].arn : null + prefix = "${var.product_alias}-${var.env_alias}-${var.module_name}" + service_name = "${local.prefix}-service" + container_name = "${local.prefix}-app" # True for both WebSocket modes: "async" (full-response) and "stream" (chunk-per-message). is_websocket_mode = contains(["async", "stream"], var.execution_mode) diff --git a/ak-deployment/ak-aws/containerized/variables.tf b/ak-deployment/ak-aws/containerized/variables.tf index c06f8e32a..faad5ce3d 100644 --- a/ak-deployment/ak-aws/containerized/variables.tf +++ b/ak-deployment/ak-aws/containerized/variables.tf @@ -133,6 +133,18 @@ variable "create_dynamodb_thread_table" { default = false } +variable "create_dynamodb_schedule_table" { + type = bool + description = "Create a dynamodb table to store the scheduled tasks" + default = false +} + +variable "enable_scheduling" { + type = bool + description = "Provision EventBridge Scheduler resources (schedule group + execution role) and inject their coordinates, so the application's `schedule.provider.type: eventbridge` has a group to register schedules in. Requires queue_mode: the schedules deliver their triggers to the Input Queue" + default = false +} + # - # REST Service Configuration # - diff --git a/ak-deployment/ak-aws/serverless/README.md b/ak-deployment/ak-aws/serverless/README.md index ad39217e2..e9ca8fe58 100644 --- a/ak-deployment/ak-aws/serverless/README.md +++ b/ak-deployment/ak-aws/serverless/README.md @@ -494,6 +494,8 @@ module "serverless_api_auth" { | `create_valkey_cluster` | Create a Valkey (ElastiCache) cluster for Agent session memory | `bool` | `false` | no | | `create_dynamodb_memory_table` | Enable DynamoDB table for session storage | `bool` | `false` | no | | `create_dynamodb_thread_table` | Create a DynamoDB table for conversation thread storage and inject its generated name as `AK_THREAD__DYNAMODB__TABLE_NAME` into both Lambdas. Thread support is enabled by the application declaring `thread.type: dynamodb` in `config.yaml` — setting this flag alone leaves threads on the in-memory backend. Note that enabling threads makes `user_id` required on every chat request. | `bool` | `false` | no | +| `enable_scheduling` | Create the EventBridge Scheduler schedule group and the execution role Scheduler assumes to deliver triggers to the Input Queue, grant both Lambda roles `scheduler:*Schedule` + `iam:PassRole` on them, and inject `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME` / `__ROLE_ARN` / `__QUEUE_ARN`. **Requires `queue_mode = true`**, and flips the Input Queue to content-based deduplication (Scheduler cannot set a `MessageDeduplicationId`). The capability is enabled by the application declaring `schedule.provider.type: eventbridge` in `config.yaml` — setting this flag alone leaves scheduling on the in-process `local` provider. | `bool` | `false` | no | +| `create_dynamodb_schedule_table` | Create a DynamoDB table for scheduled-task storage (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) and inject its generated name as `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` into both Lambdas. Requires the application to declare `schedule.store.type: dynamodb` in `config.yaml`. | `bool` | `false` | no | | `create_redis_response_store` | Create or reuse Redis for response storage. Ignored in WebSocket modes (`async`/`stream`). | `bool` | `false` | no | | `create_valkey_response_store` | Create or reuse Valkey for response storage. Ignored in WebSocket modes (`async`/`stream`). | `bool` | `false` | no | | `create_dynamodb_response_store` | Create a DynamoDB table for response storage. Ignored in WebSocket modes (`async`/`stream`). | `bool` | `false` | no | @@ -698,6 +700,11 @@ The root `queue_config` object drives the SQS queues created for queue mode. All | `agent_runner_lambda_function_arn` | ARN of the agent runner Lambda function (returns null when `queue_mode = false`) | | `agent_runner_lambda_function_name` | Name of the agent runner Lambda function (returns null when `queue_mode = false`) | | `agent_runner_lambda_function_invoke_arn` | Invoke ARN of the agent runner Lambda function (returns null when `queue_mode = false`) | +| `schedule_group_name` | EventBridge Scheduler schedule-group name (null unless `enable_scheduling`) | +| `schedule_group_arn` | EventBridge Scheduler schedule-group ARN (null unless `enable_scheduling`) | +| `scheduler_execution_role_arn` | ARN of the role Scheduler assumes to deliver triggers to the Input Queue (null unless `enable_scheduling`) | +| `schedule_table_name` | DynamoDB schedule store table name (null unless `create_dynamodb_schedule_table`) | +| `schedule_table_arn` | DynamoDB schedule store table ARN (null unless `create_dynamodb_schedule_table`) | | `agent_runner_lambda_role_arn` | ARN of the agent runner Lambda execution role (returns null when `queue_mode = false`) | | `agent_runner_lambda_role_name` | Name of the agent runner Lambda execution role (returns null when `queue_mode = false`) | | `input_queue_arn` | ARN of the input SQS queue (returns null when `queue_mode = false`) | diff --git a/ak-deployment/ak-aws/serverless/modules/agent-runner/main.tf b/ak-deployment/ak-aws/serverless/modules/agent-runner/main.tf index 1a46275f1..216585c04 100644 --- a/ak-deployment/ak-aws/serverless/modules/agent-runner/main.tf +++ b/ak-deployment/ak-aws/serverless/modules/agent-runner/main.tf @@ -204,6 +204,71 @@ resource "aws_iam_role_policy_attachment" "agent_runner_sqs_attachment" { policy_arn = aws_iam_policy.agent_runner_sqs_policy.arn } +# Scheduling permissions (the create_schedule/update_schedule/delete_schedule agent tools) +resource "aws_iam_policy" "agent_runner_scheduler_policy" { + count = var.enable_scheduling ? 1 : 0 + name = "${var.product_alias}-${var.env_alias}-${local.agent_runner_module_name}-${local.agent_runner_function_name}-scheduler" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [ + { + Sid = "ManageSchedules" + Effect = "Allow" + Action = [ + "scheduler:CreateSchedule", + "scheduler:UpdateSchedule", + "scheduler:DeleteSchedule", + "scheduler:GetSchedule" + ] + Resource = "arn:aws:scheduler:*:${var.account_id}:schedule/${var.schedule_group_name}/*" + }, + { + # Scheduler assumes the execution role, so registering a schedule passes it. + Sid = "PassSchedulerExecutionRole" + Effect = "Allow" + Action = ["iam:PassRole"] + Resource = var.scheduler_execution_role_arn + } + ] + }) +} + +resource "aws_iam_role_policy_attachment" "agent_runner_scheduler_attachment" { + count = var.enable_scheduling ? 1 : 0 + role = aws_iam_role.agent_runner_lambda_role.name + policy_arn = aws_iam_policy.agent_runner_scheduler_policy[0].arn +} + +resource "aws_iam_policy" "agent_runner_schedule_store_policy" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + name = "${var.product_alias}-${var.env_alias}-${local.agent_runner_module_name}-${local.agent_runner_function_name}-schedule-store" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = [ + "dynamodb:DescribeTable", + "dynamodb:GetItem", + "dynamodb:PutItem", + "dynamodb:UpdateItem", + "dynamodb:DeleteItem", + "dynamodb:Query", + "dynamodb:Scan" + ] + # No /index/* : listings Scan, this table has no GSI. + Resource = var.dynamodb_schedule_table_arn + }] + }) +} + +resource "aws_iam_role_policy_attachment" "agent_runner_schedule_store_attachment" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + role = aws_iam_role.agent_runner_lambda_role.name + policy_arn = aws_iam_policy.agent_runner_schedule_store_policy[0].arn +} + module "agent_runner_lambda" { source = "terraform-aws-modules/lambda/aws" version = "8.0.1" @@ -253,6 +318,17 @@ module "agent_runner_lambda" { var.dynamodb_thread_table_arn != null ? { AK_THREAD__DYNAMODB__TABLE_NAME = var.dynamodb_thread_table_name } : {}, + # Scheduling: the group/role/queue coordinates only. `schedule.provider.type` and + # `schedule.store.type` are deliberately never injected — the application declares them in its + # committed config.yaml, exactly like `thread.type`. + var.enable_scheduling ? { + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME = var.schedule_group_name + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN = var.scheduler_execution_role_arn + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN = local.queue_input_arn + } : {}, + var.dynamodb_schedule_table_arn != null ? { + AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME = var.dynamodb_schedule_table_name + } : {}, { AK_EXECUTION__QUEUES__INPUT__MAX_RECEIVE_COUNT = tostring(local.queue_input_consumer_max_receive_count) AK_EXECUTION__QUEUES__OUTPUT__URL = local.queue_output_url diff --git a/ak-deployment/ak-aws/serverless/modules/agent-runner/variables.tf b/ak-deployment/ak-aws/serverless/modules/agent-runner/variables.tf index e0a001fcf..ef4a61263 100644 --- a/ak-deployment/ak-aws/serverless/modules/agent-runner/variables.tf +++ b/ak-deployment/ak-aws/serverless/modules/agent-runner/variables.tf @@ -107,6 +107,48 @@ variable "dynamodb_thread_table_name" { default = null } +variable "account_id" { + type = string + description = "AWS account ID, used to scope the EventBridge Scheduler IAM resource ARNs" + default = null +} + +variable "enable_scheduling" { + type = bool + description = "Whether the EventBridge Scheduler resources are provisioned" + default = false +} + +variable "schedule_group_name" { + type = string + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + default = null +} + +variable "scheduler_execution_role_arn" { + type = string + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + default = null +} + +variable "create_dynamodb_schedule_table" { + type = bool + description = "Whether the DynamoDB schedule store table is created" + default = false +} + +variable "dynamodb_schedule_table_arn" { + type = string + description = "DynamoDB schedule store table ARN" + default = null +} + +variable "dynamodb_schedule_table_name" { + type = string + description = "DynamoDB schedule store table name" + default = null +} + variable "redis_url" { type = string description = "URL of the Redis cluster" diff --git a/ak-deployment/ak-aws/serverless/modules/queues/main.tf b/ak-deployment/ak-aws/serverless/modules/queues/main.tf index 87e229a39..463ba1481 100644 --- a/ak-deployment/ak-aws/serverless/modules/queues/main.tf +++ b/ak-deployment/ak-aws/serverless/modules/queues/main.tf @@ -23,7 +23,7 @@ module "input_queue" { dlq_message_retention_seconds = var.queue_config.input_queue_dlq_message_retention_seconds # FIFO-specific configuration - content_based_deduplication = var.queue_config.content_based_deduplication + content_based_deduplication = var.input_content_based_deduplication || var.queue_config.content_based_deduplication fifo_throughput_limit = var.queue_config.fifo_throughput_limit deduplication_scope = var.queue_config.deduplication_scope diff --git a/ak-deployment/ak-aws/serverless/modules/queues/variables.tf b/ak-deployment/ak-aws/serverless/modules/queues/variables.tf index 84d77b20f..1960389a3 100644 --- a/ak-deployment/ak-aws/serverless/modules/queues/variables.tf +++ b/ak-deployment/ak-aws/serverless/modules/queues/variables.tf @@ -19,6 +19,12 @@ variable "tags" { default = {} } +variable "input_content_based_deduplication" { + type = bool + description = "Force content-based deduplication on the Input Queue, on top of queue_config.content_based_deduplication. Required when EventBridge Scheduler targets it: Scheduler cannot set a MessageDeduplicationId, so without it two occurrences of an otherwise identical trigger body would collapse into one. Application senders are unaffected — an explicit MessageDeduplicationId always takes precedence" + default = false +} + variable "queue_config" { description = "Queue configuration object" type = object({ diff --git a/ak-deployment/ak-aws/serverless/modules/request-handler/main.tf b/ak-deployment/ak-aws/serverless/modules/request-handler/main.tf index fbffadc69..f1392400f 100644 --- a/ak-deployment/ak-aws/serverless/modules/request-handler/main.tf +++ b/ak-deployment/ak-aws/serverless/modules/request-handler/main.tf @@ -214,6 +214,71 @@ resource "aws_iam_role_policy_attachment" "lambda_sqs_attachment" { policy_arn = aws_iam_policy.lambda_sqs_policy[0].arn } +# Scheduling permissions (management routes: amend/cancel reach EventBridge Scheduler) +resource "aws_iam_policy" "lambda_scheduler_policy" { + count = var.enable_scheduling ? 1 : 0 + name = "${var.product_alias}-${var.env_alias}-${var.module_name}-${var.function_name}-scheduler" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [ + { + Sid = "ManageSchedules" + Effect = "Allow" + Action = [ + "scheduler:CreateSchedule", + "scheduler:UpdateSchedule", + "scheduler:DeleteSchedule", + "scheduler:GetSchedule" + ] + Resource = "arn:aws:scheduler:*:${var.account_id}:schedule/${var.schedule_group_name}/*" + }, + { + # Scheduler assumes the execution role, so registering a schedule passes it. + Sid = "PassSchedulerExecutionRole" + Effect = "Allow" + Action = ["iam:PassRole"] + Resource = var.scheduler_execution_role_arn + } + ] + }) +} + +resource "aws_iam_role_policy_attachment" "lambda_scheduler_attachment" { + count = var.enable_scheduling ? 1 : 0 + role = aws_iam_role.lambda_role.name + policy_arn = aws_iam_policy.lambda_scheduler_policy[0].arn +} + +resource "aws_iam_policy" "lambda_schedule_store_policy" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + name = "${var.product_alias}-${var.env_alias}-${var.module_name}-${var.function_name}-schedule-store" + + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = [ + "dynamodb:DescribeTable", + "dynamodb:GetItem", + "dynamodb:PutItem", + "dynamodb:UpdateItem", + "dynamodb:DeleteItem", + "dynamodb:Query", + "dynamodb:Scan" + ] + # No /index/* : listings Scan, this table has no GSI. + Resource = var.dynamodb_schedule_table_arn + }] + }) +} + +resource "aws_iam_role_policy_attachment" "lambda_schedule_store_attachment" { + count = var.create_dynamodb_schedule_table ? 1 : 0 + role = aws_iam_role.lambda_role.name + policy_arn = aws_iam_policy.lambda_schedule_store_policy[0].arn +} + resource "aws_signer_signing_job" "handler_lambda_signing_job" { count = var.is_production && var.package_type == "S3Zip" ? 1 : 0 @@ -299,6 +364,17 @@ module "lambda_deployment" { } : {}, var.dynamodb_thread_table_arn != null ? { AK_THREAD__DYNAMODB__TABLE_NAME = var.dynamodb_thread_table_name + } : {}, + # Scheduling: the group/role/queue coordinates only. `schedule.provider.type` and + # `schedule.store.type` are deliberately never injected — the application declares them in + # its committed config.yaml, exactly like `thread.type`. + var.enable_scheduling ? { + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME = var.schedule_group_name + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN = var.scheduler_execution_role_arn + AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN = var.input_queue_arn + } : {}, + var.dynamodb_schedule_table_arn != null ? { + AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME = var.dynamodb_schedule_table_name } : {}, var.response_store_redis != null ? { AK_EXECUTION__RESPONSE_STORE__REDIS__URL = var.response_store_redis.url diff --git a/ak-deployment/ak-aws/serverless/modules/request-handler/variables.tf b/ak-deployment/ak-aws/serverless/modules/request-handler/variables.tf index 6f7413b1e..e68e13613 100644 --- a/ak-deployment/ak-aws/serverless/modules/request-handler/variables.tf +++ b/ak-deployment/ak-aws/serverless/modules/request-handler/variables.tf @@ -214,6 +214,48 @@ variable "dynamodb_thread_table_name" { default = null } +variable "account_id" { + type = string + description = "AWS account ID, used to scope the EventBridge Scheduler IAM resource ARNs" + default = null +} + +variable "enable_scheduling" { + type = bool + description = "Whether the EventBridge Scheduler resources are provisioned" + default = false +} + +variable "schedule_group_name" { + type = string + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + default = null +} + +variable "scheduler_execution_role_arn" { + type = string + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + default = null +} + +variable "create_dynamodb_schedule_table" { + type = bool + description = "Whether the DynamoDB schedule store table is created" + default = false +} + +variable "dynamodb_schedule_table_arn" { + type = string + description = "DynamoDB schedule store table ARN" + default = null +} + +variable "dynamodb_schedule_table_name" { + type = string + description = "DynamoDB schedule store table name" + default = null +} + variable "input_queue_arn" { type = string description = "ARN of the input SQS queue" diff --git a/ak-deployment/ak-aws/serverless/outputs.tf b/ak-deployment/ak-aws/serverless/outputs.tf index 49c7fc842..342631507 100644 --- a/ak-deployment/ak-aws/serverless/outputs.tf +++ b/ak-deployment/ak-aws/serverless/outputs.tf @@ -239,3 +239,30 @@ output "ws_connection_handler_lambda_role_name" { description = "Name of the WebSocket connection handler Lambda execution role" value = try(module.ws_connection_handler[0].ws_connection_handler_lambda_role_name, null) } + +# Scheduling outputs (null unless the matching flag is set) + +output "schedule_group_name" { + description = "EventBridge Scheduler schedule-group name the scheduled tasks register their schedules in" + value = local.schedule_group_name +} + +output "schedule_group_arn" { + description = "EventBridge Scheduler schedule-group ARN" + value = local.schedule_group_arn +} + +output "scheduler_execution_role_arn" { + description = "ARN of the role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + value = local.scheduler_execution_role_arn +} + +output "schedule_table_name" { + description = "DynamoDB schedule store table name" + value = local.dynamodb_schedule_table_name +} + +output "schedule_table_arn" { + description = "DynamoDB schedule store table ARN" + value = local.dynamodb_schedule_table_arn +} diff --git a/ak-deployment/ak-aws/serverless/state.tf b/ak-deployment/ak-aws/serverless/state.tf index 6b410972a..f0522d3e8 100644 --- a/ak-deployment/ak-aws/serverless/state.tf +++ b/ak-deployment/ak-aws/serverless/state.tf @@ -21,6 +21,11 @@ locals { dynamodb_multimodal_memory_table_name = var.create_dynamodb_multimodal_memory_table == true ? module.dynamodb_multimodal_memory[0].table_name : null dynamodb_thread_table_arn = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_arn : null dynamodb_thread_table_name = var.create_dynamodb_thread_table == true ? module.dynamodb_thread[0].table_name : null + dynamodb_schedule_table_arn = var.create_dynamodb_schedule_table == true ? module.dynamodb_schedule[0].table_arn : null + dynamodb_schedule_table_name = var.create_dynamodb_schedule_table == true ? module.dynamodb_schedule[0].table_name : null + schedule_group_name = var.enable_scheduling ? aws_scheduler_schedule_group.schedules[0].name : null + schedule_group_arn = var.enable_scheduling ? aws_scheduler_schedule_group.schedules[0].arn : null + scheduler_execution_role_arn = var.enable_scheduling ? aws_iam_role.scheduler_execution[0].arn : null request_handler_enabled = var.enable_api_gateway request_handler_lambda_function_name = local.request_handler_enabled ? module.request_handler[0].lambda_function_name : null @@ -349,6 +354,86 @@ module "dynamodb_thread" { table_name = "thread_store" } +module "dynamodb_schedule" { + source = "yaalalabs/ak-common/aws//modules/dynamodb" + version = "0.8.1" + count = var.create_dynamodb_schedule_table == true ? 1 : 0 + attributes = [ + { name = "task_id", type = "S" }, + ] + hash_key = "task_id" + # Enabled so a deployment that opts into `schedule.store.dynamodb.ttl` works; the application's + # TTL defaults to 0, in which case items carry no `expiry_time` and never expire. + ttl_enabled = true + ttl_attribute_name = "expiry_time" + env_alias = var.env_alias + module_name = var.module_name + product_alias = var.product_alias + table_name = "schedule_store" +} + +# EventBridge Scheduler resources for the scheduling capability. +# The application owns the schedules themselves (one per scheduled task, created at runtime through +# `AKConfig.schedule.provider.type: eventbridge`); Terraform only provisions the group they live in +# and the role Scheduler assumes to deliver each trigger to the Input Queue. + +data "aws_caller_identity" "current" {} + +check "scheduling_requires_queue_mode" { + assert { + condition = var.enable_scheduling ? var.queue_mode : true + error_message = "[IMPORTANT] enable_scheduling requires queue_mode = true: EventBridge Scheduler delivers its triggers to the Input Queue, which only exists in queue mode." + } +} + +resource "aws_scheduler_schedule_group" "schedules" { + count = var.enable_scheduling ? 1 : 0 + + name = "${var.product_alias}-${var.env_alias}-${var.module_name}-schedules" + + tags = merge(var.tags, { Type = "ScheduleGroup" }) +} + +resource "aws_iam_role" "scheduler_execution" { + count = var.enable_scheduling ? 1 : 0 + + name = "${var.product_alias}-${var.env_alias}-${var.module_name}-scheduler-exec-role" + description = "Role EventBridge Scheduler assumes to deliver scheduled triggers to the Input Queue" + + assume_role_policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = "sts:AssumeRole" + Principal = { Service = "scheduler.amazonaws.com" } + Condition = { + StringEquals = { + "aws:SourceAccount" = data.aws_caller_identity.current.account_id + } + } + }] + }) + + tags = var.tags +} + +resource "aws_iam_role_policy" "scheduler_send_to_input_queue" { + count = var.enable_scheduling ? 1 : 0 + + name = "${var.product_alias}-${var.env_alias}-${var.module_name}-scheduler-send-to-input-queue" + role = aws_iam_role.scheduler_execution[0].id + + # No KMS statement: the queues use SQS-managed SSE unless a customer key is configured. + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = ["sqs:SendMessage"] + Resource = local.input_queue_arn + }] + }) +} + module "queues" { count = var.queue_mode ? 1 : 0 source = "./modules/queues" @@ -358,6 +443,9 @@ module "queues" { module_name = var.module_name tags = var.tags queue_config = var.queue_config + + # EventBridge Scheduler cannot set a MessageDeduplicationId on the triggers it delivers. + input_content_based_deduplication = var.enable_scheduling } check "queue_visibility_timeouts" { @@ -511,8 +599,18 @@ module "request_handler" { create_dynamodb_thread_table = var.queue_mode ? false : var.create_dynamodb_thread_table dynamodb_thread_table_arn = var.queue_mode ? null : local.dynamodb_thread_table_arn dynamodb_thread_table_name = var.queue_mode ? null : local.dynamodb_thread_table_name - input_queue_arn = local.input_queue_arn - input_queue_url = local.input_queue_url + # Not nulled under queue_mode the way the thread wiring above is: an application can mount + # ScheduleRESTRequestHandler on this Lambda to serve the management routes, and scheduling + # requires queue_mode anyway. + account_id = data.aws_caller_identity.current.account_id + enable_scheduling = var.enable_scheduling + schedule_group_name = local.schedule_group_name + scheduler_execution_role_arn = local.scheduler_execution_role_arn + create_dynamodb_schedule_table = var.create_dynamodb_schedule_table + dynamodb_schedule_table_arn = local.dynamodb_schedule_table_arn + dynamodb_schedule_table_name = local.dynamodb_schedule_table_name + input_queue_arn = local.input_queue_arn + input_queue_url = local.input_queue_url websocket_connections_dynamodb = local.websocket_api_enabled ? { table_name = module.websocket_connections[0].table_name table_arn = module.websocket_connections[0].table_arn @@ -567,6 +665,13 @@ module "agent_runner" { create_dynamodb_thread_table = var.create_dynamodb_thread_table dynamodb_thread_table_arn = local.dynamodb_thread_table_arn dynamodb_thread_table_name = local.dynamodb_thread_table_name + account_id = data.aws_caller_identity.current.account_id + enable_scheduling = var.enable_scheduling + schedule_group_name = local.schedule_group_name + scheduler_execution_role_arn = local.scheduler_execution_role_arn + create_dynamodb_schedule_table = var.create_dynamodb_schedule_table + dynamodb_schedule_table_arn = local.dynamodb_schedule_table_arn + dynamodb_schedule_table_name = local.dynamodb_schedule_table_name redis_url = local.redis_url valkey_url = local.valkey_url diff --git a/ak-deployment/ak-aws/serverless/variables.tf b/ak-deployment/ak-aws/serverless/variables.tf index 248becb97..10a036e8f 100644 --- a/ak-deployment/ak-aws/serverless/variables.tf +++ b/ak-deployment/ak-aws/serverless/variables.tf @@ -182,6 +182,18 @@ variable "create_dynamodb_thread_table" { default = false } +variable "create_dynamodb_schedule_table" { + type = bool + description = "Create a dynamodb table to store the scheduled tasks" + default = false +} + +variable "enable_scheduling" { + type = bool + description = "Provision EventBridge Scheduler resources (schedule group + execution role) and inject their coordinates, so the application's `schedule.provider.type: eventbridge` has a group to register schedules in. Requires queue_mode: the schedules deliver their triggers to the Input Queue" + default = false +} + variable "private_subnet_cidrs" { type = list(string) description = "CIDR blocks for the private subnets" diff --git a/ak-py/README.md b/ak-py/README.md index d16048187..13d2c5107 100644 --- a/ak-py/README.md +++ b/ak-py/README.md @@ -49,6 +49,12 @@ pip install "agentkernel[daytona]" # daytona cloud provider pip install "agentkernel[aws]" # ec2_ssm provider (boto3) ``` +For cron parsing with the Scheduling capability (the `eventbridge` provider rides the `aws` extra): + +```bash +pip install "agentkernel[cron]" +``` + **Requirements:** - Python 3.12+ @@ -534,6 +540,102 @@ Required when `thread.type=cosmosdb`: - **Description**: Cosmos DB table name for thread storage - **Environment Variable**: `AK_THREAD__COSMOSDB__TABLE_NAME` +#### Scheduling + +The presence of a `schedule` block enables deferred and recurring chat execution: a chat request carrying a +`schedule` block (`at` for one-time, `cron` for recurring, plus `timezone` and `session_mode`) is not run — +it is registered as a scheduled task and acknowledged with HTTP 202. When an occurrence is due, the provider +delivers the stored prompt into the input queue as a plain chat request, so scheduling requires the queue +execution pipeline. Agent Kernel also mounts the management routes (`GET`/`PUT`/`DELETE /api/v1/schedules`, +optionally protected by a pluggable `Authoriser`) and injects five agent tools (`create_schedule`, +`list_schedules`, `get_schedule`, `update_schedule`, `delete_schedule`). Every scheduling request needs a +`user_id`: it is the owner the task is stored under and the identity later reads and changes are checked +against. A bare `schedule:` block works for local development — its defaults are the `local` provider and +the `in_memory` store. See `examples/api/schedule-openai`. + +- **Provider Type** + - **Field**: `schedule.provider.type` + - **Type**: string + - **Default**: `local` + - **Options**: `local` (in-process scheduler thread; requires the `in_memory` transport and store), + `eventbridge` (AWS EventBridge Scheduler; requires the `sqs` transport and the `aws` extra), or a dotted + path to a `ScheduleProvider` subclass + - **Environment Variable**: `AK_SCHEDULE__PROVIDER__TYPE` + +- **Store Type** + - **Field**: `schedule.store.type` + - **Type**: string + - **Default**: `in_memory` + - **Options**: `in_memory`, `redis`, `valkey`, `dynamodb`, or a dotted path to a `ScheduleStore` subclass + - **Environment Variable**: `AK_SCHEDULE__STORE__TYPE` + +- **Tool Scoping** + - **Field**: `schedule.agents` + - **Type**: list of strings + - **Default**: `null` (all agents) + - **Description**: Agent names the schedule tools and system-prompt guidance attach to + - **Environment Variable**: `AK_SCHEDULE__AGENTS` + +##### EventBridge Scheduler Provider + +Required when `schedule.provider.type=eventbridge`. All three are supplied by the AWS Terraform modules +when `enable_scheduling = true`; a missing one fails at startup with an `AKConfigError`. + +- **Group Name** + - **Field**: `schedule.provider.eventbridge.group_name` + - **Description**: EventBridge Scheduler schedule-group name the schedules are created in + - **Environment Variable**: `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME` + +- **Role ARN** + - **Field**: `schedule.provider.eventbridge.role_arn` + - **Description**: Execution role ARN Scheduler assumes to deliver triggers to the input queue + - **Environment Variable**: `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN` + +- **Queue ARN** + - **Field**: `schedule.provider.eventbridge.queue_arn` + - **Description**: Input queue ARN used as the schedule target + - **Environment Variable**: `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN` + +##### Redis / Valkey Schedule Store + +Required when `schedule.store.type=redis` (or `valkey`, with `schedule.store.valkey.*` / `AK_SCHEDULE__STORE__VALKEY__*`). + +- **URL** + - **Field**: `schedule.store.redis.url` + - **Default**: `redis://localhost:6379` + - **Description**: Redis connection URL. Use `rediss://` for SSL + - **Environment Variable**: `AK_SCHEDULE__STORE__REDIS__URL` + +- **Key Prefix** + - **Field**: `schedule.store.redis.prefix` + - **Default**: `ak:schedule:` + - **Description**: Key prefix for scheduled-task storage + - **Environment Variable**: `AK_SCHEDULE__STORE__REDIS__PREFIX` + +- **TTL (Time to Live)** + - **Field**: `schedule.store.redis.ttl` + - **Default**: `0` (disabled) + - **Description**: Scheduled task TTL in seconds. Unlike threads this defaults to 0 — a task that + silently expired would stop firing with no audit trail + - **Environment Variable**: `AK_SCHEDULE__STORE__REDIS__TTL` + +##### DynamoDB Schedule Store + +Required when `schedule.store.type=dynamodb`. The table needs a partition key named `task_id` (S) and no +sort key; the AWS Terraform modules create it when `create_dynamodb_schedule_table = true`. + +- **Table Name** + - **Field**: `schedule.store.dynamodb.table_name` + - **Default**: `ak-agent-schedules` + - **Description**: DynamoDB table name for scheduled-task storage + - **Environment Variable**: `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` + +- **TTL (Time to Live)** + - **Field**: `schedule.store.dynamodb.ttl` + - **Default**: `0` (disabled) + - **Description**: DynamoDB item TTL in seconds + - **Environment Variable**: `AK_SCHEDULE__STORE__DYNAMODB__TTL` + #### Execution Configuration Configure queue-backed and serverless execution behavior. @@ -552,8 +654,8 @@ Configure queue-backed and serverless execution behavior. - **Transport Type** - **Field**: `execution.queues.type` - **Options**: `in_memory`, `sqs`, `kafka`, `nats`, or a dotted path to a `QueueTransport` subclass - - **Default**: `None` - - **Description**: Queue transport used by the pipeline. When unset, a configured `execution.queues.input.url` implies `sqs` (pre-#495 compatibility); otherwise defaults to `in_memory` — a zero-dependency, in-process transport for local development and single-process deployments. + - **Default**: none — **mandatory whenever an `execution.queues` block is declared** + - **Description**: Queue transport used by the pipeline, and the only thing that selects it: queue coordinates are injected per component by a deployment, so they are never used to infer the transport. Declaring the block without a `type` is a configuration error. Omitting the block entirely leaves `in_memory` — a zero-dependency, in-process transport for local development and single-process deployments. - **Environment Variable**: `AK_EXECUTION__QUEUES__TYPE` - **Input Queue URL** @@ -1373,7 +1475,7 @@ thread: # optional; configures Conversation Thread Support (enabled by mounting execution: mode: rest_sync queues: - # type: in_memory | sqs | kafka | nats — omit to auto-detect (sqs if input.url is set, else in_memory) + type: sqs # in_memory | sqs | kafka | nats, or a dotted path to a QueueTransport subclass — mandatory whenever this block is declared input: url: https://queue.example.com// # sqs transport only max_receive_count: 3 diff --git a/ak-py/pyproject.toml b/ak-py/pyproject.toml index 42683cb2d..c2fda7dee 100644 --- a/ak-py/pyproject.toml +++ b/ak-py/pyproject.toml @@ -84,7 +84,6 @@ thread = [ "litellm>=1.74.9", ] -# Only needed for cron-expression schedules (`schedule.cron`); `at`-only schedules work without it. cron = [ "croniter>=3.0", ] diff --git a/ak-py/src/agentkernel/core/chat_service.py b/ak-py/src/agentkernel/core/chat_service.py index 853a30e6f..3cc414ec3 100644 --- a/ak-py/src/agentkernel/core/chat_service.py +++ b/ak-py/src/agentkernel/core/chat_service.py @@ -209,15 +209,17 @@ def __init__(self): def initialize(self, session_id: str, agent: Optional[str]): """Initialize AgentService with session and agent selection. + The availability rule is checked before selecting, so an unservable request fails + without a session being created or loaded for it. + :param session_id: Session identifier for the agent :param agent: Optional agent name/identifier to select :return: None - :raises ValueError: If no agent is available after selection + :raises ValueError: If no agent matching the request is available """ self.service = AgentService() + self.service.ensure_agent_available(agent) self.service.select(session_id, agent) - if not self.service.agent: - raise ValueError("No agent available") @staticmethod def _run_async_sync(coro) -> Any: @@ -497,7 +499,15 @@ def _record_trigger(self, req: BaseChatRequest) -> None: if manager is None: self._log.warning(f"Trigger of scheduled task {task_id} arrived while scheduling is not configured") return - manager.record_trigger(task_id, request_id=getattr(req, "request_id", None), occurred_at=getattr(req, "scheduled_time", None)) + # The acting user is passed so the manager can reject a request that named someone + # else's task: this metadata arrives on a client-bindable chat request, not a channel + # only a provider can reach. + manager.record_trigger( + task_id, + req.user_id, + request_id=getattr(req, "request_id", None), + occurred_at=getattr(req, "scheduled_time", None), + ) except Exception as e: self._log.error(f"Failed to record trigger of scheduled task {task_id}: {e}") diff --git a/ak-py/src/agentkernel/core/config.py b/ak-py/src/agentkernel/core/config.py index e19d3c4f0..4b5fb1250 100644 --- a/ak-py/src/agentkernel/core/config.py +++ b/ak-py/src/agentkernel/core/config.py @@ -7,6 +7,10 @@ from .model import ExecutionMode from .util.config_yaml_util import YamlBaseSettingsModified +# The transport a config with no `execution.queues` block runs on: the in-process pipeline, whose +# single-process topology needs no queue coordinates. QueueTransportFactory resolves the same name. +DEFAULT_QUEUE_TRANSPORT_TYPE = "in_memory" + def _get_ak_version() -> str: try: @@ -269,8 +273,7 @@ class _ThreadStoreConfig(BaseModel): cosmosdb: Optional[_ThreadCosmosDBConfig] = None -# Declared ahead of the provider that reads it: the eventbridge provider is not among the built-in -# short names yet, so this block is inert until it ships. +# Connection details only, and Terraform-provisioned: the eventbridge provider requires all three. class _ScheduleEventBridgeConfig(BaseModel): group_name: Optional[str] = Field(default=None, description="EventBridge Scheduler schedule-group name the schedules are created in") role_arn: Optional[str] = Field( @@ -282,13 +285,11 @@ class _ScheduleEventBridgeConfig(BaseModel): class _ScheduleProviderConfig(BaseModel): type: str = Field( default="local", - description="Schedule provider: a built-in short name (local) or a dotted path to a ScheduleProvider subclass", + description="Schedule provider: a built-in short name (local, eventbridge) or a dotted path to a ScheduleProvider subclass", ) eventbridge: Optional[_ScheduleEventBridgeConfig] = None -# The redis, valkey and dynamodb store blocks are likewise declared ahead of their backends: only -# in_memory is a built-in short name today, so these three are inert until those stores ship. class _ScheduleStoreRedisConfig(_RedisConfig): # Unlike threads, schedules carry no default expiry: a task that silently disappeared # would stop firing with no audit trail. @@ -312,7 +313,7 @@ class _ScheduleStoreDynamoDBConfig(_DynamoDBConfig): class _ScheduleStoreConfig(BaseModel): type: str = Field( default="in_memory", - description="Scheduled task store backend: a built-in short name (in_memory) or a dotted path to a ScheduleStore subclass", + description="Scheduled task store backend: a built-in short name (in_memory, redis, valkey, dynamodb) or a dotted path to a ScheduleStore subclass", ) redis: Optional[_ScheduleStoreRedisConfig] = None valkey: Optional[_ScheduleStoreValkeyConfig] = None @@ -495,12 +496,13 @@ class _NatsQueueConfig(BaseModel): class _QueuesConfig(BaseModel): - type: Optional[str] = Field( - default=None, + type: str = Field( description=( "Queue transport: in_memory | sqs | kafka | nats, or a dotted path to a QueueTransport " - "subclass. When unset, a configured input.url implies sqs (pre-#495 compatibility); " - "otherwise in_memory." + "subclass. Mandatory whenever this block is declared: the transport decides the " + "deployment topology, so it is declared by the application rather than inferred from " + "whichever queue coordinates a deployment happens to inject. Omitting the whole block " + f"leaves the single-process '{DEFAULT_QUEUE_TRANSPORT_TYPE}' transport." ), ) input: _InputQueueConfig = Field(default_factory=_InputQueueConfig, description="Input queue configuration for queue execution mode") @@ -538,7 +540,12 @@ class _ExecutionConfig(BaseModel): default=None, description="Execution mode: rest_sync for synchronous REST, rest_async for asynchronous REST, stream for token streaming (WebSocket serverless or containerized direct streaming)", ) - queues: Optional[_QueuesConfig] = Field(default_factory=_QueuesConfig, description="Queue URLs for async execution mode") + # The default carries the transport type explicitly: `type` is mandatory inside a declared + # queues block, and a config that declares no block at all still runs single-process. + queues: Optional[_QueuesConfig] = Field( + default_factory=lambda: _QueuesConfig(type=DEFAULT_QUEUE_TRANSPORT_TYPE), + description="Queue transport and queue settings for queue-based execution", + ) response_store: Optional[_ResponseStoreConfig] = Field( default=None, description="Response storage configuration for async execution mode", diff --git a/ak-py/src/agentkernel/core/runtime.py b/ak-py/src/agentkernel/core/runtime.py index 8d27dd09d..6024c2972 100644 --- a/ak-py/src/agentkernel/core/runtime.py +++ b/ak-py/src/agentkernel/core/runtime.py @@ -129,23 +129,6 @@ def agents(self) -> dict[str, Agent]: """ return self._agents - @staticmethod - def ensure_agent_available(name: Optional[str]) -> None: - """Check that a request naming ``name`` could be served, without selecting anything. - - The rule ``AgentHandler.initialize`` applies when it selects: a named agent must be - registered, and an unnamed one needs at least one agent to default to. Surfaces that - commit state before the agent ever runs — a thread write, a scheduled task — call this - first, so a request that could never be answered fails while the caller is still - listening instead of at run time. - - :param name: The requested agent name, or None for the default agent. - :raises ValueError: If no matching agent is available. - """ - agents = Runtime.current().agents() - if (name and name not in agents) or (not name and not agents): - raise ValueError("No agent available") - def register(self, agent: Agent) -> None: """ Registers an agent in the runtime. diff --git a/ak-py/src/agentkernel/core/service.py b/ak-py/src/agentkernel/core/service.py index e219df689..0cde138a0 100644 --- a/ak-py/src/agentkernel/core/service.py +++ b/ak-py/src/agentkernel/core/service.py @@ -46,6 +46,23 @@ def reset(self): self._agent = None self._session = None + def ensure_agent_available(self, name: str | None) -> None: + """ + Checks that a request naming ``name`` could be served, without selecting anything. + + Applies the same rule select() applies when it selects: a named agent must be + registered, and an unnamed one needs at least one agent to default to. Surfaces that + commit state before the agent ever runs — a thread write, a scheduled task — call this + first, so a request that could never be answered fails while the caller is still + listening instead of at run time. + + :param name: Name of the requested agent, or None for the default agent. + :raises ValueError: If no matching agent is available. + """ + agents = self._runtime.agents() + if (name and name not in agents) or (not name and not agents): + raise ValueError("No agent available") + def select(self, session_id: str | None = None, name: str | None = None): """ Selects an agent by name, or the first available agent if no name is provided. diff --git a/ak-py/src/agentkernel/core/util/driver/redis_like.py b/ak-py/src/agentkernel/core/util/driver/redis_like.py index b75db79b7..63954c5e1 100644 --- a/ak-py/src/agentkernel/core/util/driver/redis_like.py +++ b/ak-py/src/agentkernel/core/util/driver/redis_like.py @@ -272,6 +272,17 @@ def sadd(self, key: str, member: Any) -> None: self._log.debug(f"SADD {key}") self.client.sadd(key, member) + def srem(self, key: str, member: Any) -> None: + """ + Removes a member from the set stored at the given key. Removing an absent + member is not an error. + + :param key: The set key. + :param member: The member to remove. + """ + self._log.debug(f"SREM {key}") + self.client.srem(key, member) + def smembers(self, key: str) -> set[str]: """ Returns all members of the set stored at the given key, decoded to strings. diff --git a/ak-py/src/agentkernel/deployment/aws/serverless/akagentrunner.py b/ak-py/src/agentkernel/deployment/aws/serverless/akagentrunner.py index 359b8d260..915f170f6 100644 --- a/ak-py/src/agentkernel/deployment/aws/serverless/akagentrunner.py +++ b/ak-py/src/agentkernel/deployment/aws/serverless/akagentrunner.py @@ -5,6 +5,7 @@ from ....core.chat_service import ChatService from ....core.config import AKConfig from ....core.model import BaseRunRequest, ExecutionMode, StreamChunk +from ....pipeline.envelope import ATTR_STATUS_CODE from ..core.sqs_handler import SQSHandler from .core import LambdaSQSConsumer @@ -16,6 +17,8 @@ class ServerlessAgentRunner(LambdaSQSConsumer): _log = logging.getLogger("ak.aws.agentrunner") _chat_service = None + # A run that exhausted its retries never produced a status of its own. + _PERMANENT_FAILURE_STATUS_CODE = 500 @classmethod def _get_max_receive_count(cls) -> int: @@ -107,12 +110,14 @@ def _construct_error_message_body(cls, error_msg: str) -> dict: return {"error": error_msg} @classmethod - def _send_to_output_queue(cls, message_body: dict, record_attributes: dict) -> None: + def _send_to_output_queue(cls, message_body: dict, record_attributes: dict, status_code: Optional[int] = None) -> None: """ Send a prepared message to the configured response SQS queue using send_message_to_output_queue. :param message_body: Message body (``dict``) to be sent to the response queue :param record_attributes: Extracted attributes (``dict``) from the record + :param status_code: Status the chat service produced, forwarded so the REST surface can + answer with it instead of collapsing every queued reply to 200 :return: None """ cls._log.info("Sending message to output queue") @@ -124,6 +129,10 @@ def _send_to_output_queue(cls, message_body: dict, record_attributes: dict) -> N custom_attributes.append( SQSHandler.CustomAttribute(name="endpoint_url", value=record_attributes["endpoint_url"], datatype=SQSHandler.AttributeDataType.STRING) ) + if status_code is not None: + custom_attributes.append( + SQSHandler.CustomAttribute(name=ATTR_STATUS_CODE, value=str(status_code), datatype=SQSHandler.AttributeDataType.STRING) + ) cls._log.debug(f"Custom attributes: {custom_attributes}") @@ -157,10 +166,13 @@ def process_message(cls, record: dict) -> None: """ cls._log.info(f"Processing message: {record}") body = cls._parse_body(record) - _, agent_response = cls._get_chat_service().process_chat_request(req=body) - cls._log.info(f"Chat service response: '{agent_response}'") + # ChatService(rest_api_mode=False) returns (status_code, response_dict). The status travels + # to the output message as an attribute so the deferred-schedule 202 and the validation 4xx + # survive the queue round trip instead of collapsing to 200 at the REST surface. + status_code, agent_response = cls._get_chat_service().process_chat_request(req=body) + cls._log.info(f"Chat service response: '{agent_response}' with status_code: {status_code}") record_attributes = cls._get_record_attributes(raw_queue_message=record, body=body) - cls._send_to_output_queue(message_body=agent_response, record_attributes=record_attributes) + cls._send_to_output_queue(message_body=agent_response, record_attributes=record_attributes, status_code=status_code) cls._log.info(f"Sent Response message to Output Queue: '{SQSHandler.get_output_queue_url()}'") @classmethod @@ -178,7 +190,9 @@ def on_permanent_failure(cls, record: dict) -> None: error_msg=f"Failed to process message. Retried {cls._get_max_receive_count()} times" ) error_message_body["session_id"] = record_attributes["message_group_id"] - cls._send_to_output_queue(message_body=error_message_body, record_attributes=record_attributes) + cls._send_to_output_queue( + message_body=error_message_body, record_attributes=record_attributes, status_code=cls._PERMANENT_FAILURE_STATUS_CODE + ) cls._log.info(f"Sent Permanent Failure message to Output Queue: '{SQSHandler.get_output_queue_url()}'") except Exception as e: # Message comes to this function only if the message has reached its maximum no of retries diff --git a/ak-py/src/agentkernel/deployment/aws/serverless/akresponsehandler.py b/ak-py/src/agentkernel/deployment/aws/serverless/akresponsehandler.py index 219778412..dcac13daa 100644 --- a/ak-py/src/agentkernel/deployment/aws/serverless/akresponsehandler.py +++ b/ak-py/src/agentkernel/deployment/aws/serverless/akresponsehandler.py @@ -4,6 +4,7 @@ from ....core.config import AKConfig from ....core.model import ExecutionMode, StreamChunk +from ....pipeline.envelope import ATTR_STATUS_CODE from ..core.response_store import ResponseStoreFactory from ..core.sqs_handler import SQSHandler from .core import LambdaSQSConsumer @@ -18,6 +19,9 @@ class ResponseHandler(LambdaSQSConsumer): _log = logging.getLogger("ak.aws.responsehandler") _response_store = None _base_ws_handler = None + # A reply sent without a status predates the runner forwarding one, so it keeps its old meaning. + _DEFAULT_STATUS_CODE = 200 + _PERMANENT_FAILURE_STATUS_CODE = 500 @classmethod def _get_max_receive_count(cls) -> int: @@ -36,12 +40,14 @@ def _get_base_ws_handler(cls): return cls._base_ws_handler @classmethod - def _construct_message_for_store(cls, record: Dict[str, Any], body: Optional[Any] = None) -> Dict[str, Any]: + def _construct_message_for_store(cls, record: Dict[str, Any], body: Optional[Any] = None, status_code: Optional[int] = None) -> Dict[str, Any]: """ Construct the message object to be stored in the response store. :param record: SQS record :param body: Optional message body payload. If not provided, uses record["body"] + :param status_code: Status to store; when omitted it is read from the status the agent + runner forwarded on the record :return: Message dictionary for storage :raises ValueError: If request_id is missing in SQS message attributes """ @@ -54,8 +60,29 @@ def _construct_message_for_store(cls, record: Dict[str, Any], body: Optional[Any request_id = message_attributes.get("request_id") if not request_id: raise ValueError("request_id is required in SQS message attributes") - message = {"session_id": session_id, "request_id": request_id, "body": message_body} - return message + return { + "session_id": session_id, + "request_id": request_id, + "status_code": status_code if status_code is not None else cls._resolve_status_code(message_attributes), + "body": message_body, + } + + @classmethod + def _resolve_status_code(cls, message_attributes: Dict[str, Any]) -> int: + """ + Resolve the status the agent runner forwarded on the output message. + + :param message_attributes: Custom attributes of the output SQS record + :return: The forwarded status, or 200 when it is absent or unparseable + """ + raw_status_code = message_attributes.get(ATTR_STATUS_CODE) + if raw_status_code is None: + return cls._DEFAULT_STATUS_CODE + try: + return int(raw_status_code) + except (TypeError, ValueError): + cls._log.warning(f"Ignoring unparseable {ATTR_STATUS_CODE} attribute '{raw_status_code}'") + return cls._DEFAULT_STATUS_CODE @classmethod def _broadcast_via_websocket(cls, record: Dict[str, Any], message_type: Optional[LambdaWSHandler.MessageType] = None) -> None: @@ -172,7 +199,7 @@ def on_permanent_failure(cls, record: Dict[str, Any]) -> None: cls._log.warning("Cannot broadcast permanent failure stream chunk: endpoint_url or user_id missing in message attributes") else: # Store error message in response store for non-ASYNC/STREAM modes - message = cls._construct_message_for_store(record, body=error_message) + message = cls._construct_message_for_store(record, body=error_message, status_code=cls._PERMANENT_FAILURE_STATUS_CODE) cls._get_response_store().add_message(message) cls._log.info(f"Stored permanent failure message for session_id: {message['session_id']}, request_id: {message['request_id']}") except Exception as e: diff --git a/ak-py/src/agentkernel/deployment/aws/serverless/core/router/rest_lambda.py b/ak-py/src/agentkernel/deployment/aws/serverless/core/router/rest_lambda.py index e7da9bb70..3c6253cbd 100644 --- a/ak-py/src/agentkernel/deployment/aws/serverless/core/router/rest_lambda.py +++ b/ak-py/src/agentkernel/deployment/aws/serverless/core/router/rest_lambda.py @@ -14,6 +14,9 @@ class DefaultEndpointsHandler: """Provides default endpoint routes depending on EXECUTION_MODE.""" + # A record stored without a status predates the runner forwarding one, so it keeps its old meaning. + _DEFAULT_STATUS_CODE = 200 + def __init__(self): """Initialize default REST endpoints handler.""" self._log = logging.getLogger("ak.aws.lambda.default_endpoints") @@ -100,20 +103,19 @@ def _build_failure_body(self, request_id: Optional[str] = None, status: Optional error_body["request_id"] = request_id return error_body - def _handle_request(self, event: Dict[str, Any], operation: Callable[[BaseRequest], Dict[str, Any]]) -> tuple[int, Dict[str, Any]]: + def _handle_request(self, event: Dict[str, Any], operation: Callable[[BaseRequest], tuple[int, Dict[str, Any]]]) -> tuple[int, Dict[str, Any]]: """ Execute operation with standard request parsing and error handling. :param event: API Gateway event - :param operation: Function executed with parsed payload + :param operation: Function executed with parsed payload, returning its own (statusCode, body) :return: API Gateway formatted response (statusCode, body) """ request_id = None try: request = self._parse_body(event) request_id = request.request_id - result = operation(request) - return (200, result) # (statusCode, body) will be handled in aklambda.py + return operation(request) # (statusCode, body) will be handled in aklambda.py # Log and hide unexpected failures behind a generic 500 response. except Exception as e: @@ -146,18 +148,37 @@ def _send_to_queue(self, payload: BaseRequest) -> Dict[str, Any]: ) return response - def _get_message(self, payload: BaseRequest) -> Dict[str, Any]: + def _get_record(self, payload: BaseRequest) -> Optional[Dict[str, Any]]: """ - Fetch messages from response database. + Fetch a response record from the response database. + + Records rather than bodies: the record is what carries the status the agent runner + forwarded for this request. :param payload: Request payload containing request_id - :return: Message for request + :return: Stored record for the request, or None when none arrived in time :raises ValueError: If request_id is missing """ request_id = payload.request_id if not request_id: raise ValueError("request_id is required") - return self._response_store.get_message_with_retry(request_id=request_id, get_and_delete=True) + return self._response_store.get_record_with_retry(request_id=request_id, get_and_delete=True) + + def _record_response(self, record: Dict[str, Any]) -> tuple[int, Dict[str, Any]]: + """ + Map a stored response record to its (statusCode, body). + + Keeps queue mode's contract identical to direct mode: the status the chat service + produced — 202 for a request deferred to a schedule, 4xx for one it rejected — reaches the + client instead of collapsing to 200. A record stored without a status_code, or a store + that hands back the body alone, keeps the previous 200. + + :param record: Record returned by the response store + :return: Tuple of (status_code, body) + """ + if "body" not in record: + return (self._DEFAULT_STATUS_CODE, record) + return (int(record.get("status_code") or self._DEFAULT_STATUS_CODE), record["body"]) def _handle_rest_sync(self, event: Dict[str, Any], context: Any) -> tuple[int, Dict[str, Any]]: """ @@ -168,26 +189,29 @@ def _handle_rest_sync(self, event: Dict[str, Any], context: Any) -> tuple[int, D :return: Tuple of (status_code, response_body) """ - def sync_operation(payload: BaseRequest) -> Dict[str, Any]: + def sync_operation(payload: BaseRequest) -> tuple[int, Dict[str, Any]]: request_id = payload.request_id self._log.info(f"Performing REST_SYNC operation for payload: '{payload}'") queue_result = self._send_to_queue(payload) self._log.info(f"Message sent to input queue, response from send_message function: '{queue_result}'") - message = self._get_message(payload) - self._log.info(f"Fetched message from database: {message}") - message = ( - message - if message - else self._build_failure_body( - request_id=request_id, - status="NOT_FOUND", - message=f"No response message found for request_id: '{request_id}'. Try increasing the retry_count or delay in the response store configuration.", + record = self._get_record(payload) + self._log.info(f"Fetched record from database: {record}") + if record is None: + # A response that never arrived keeps its established 200-with-error-body shape. + return ( + self._DEFAULT_STATUS_CODE, + self._build_failure_body( + request_id=request_id, + status="NOT_FOUND", + message=f"No response message found for request_id: '{request_id}'. Try increasing the retry_count or delay in the response store configuration.", + ), ) - ) - self._log.info(f"Returning response for REST_SYNC operation: '{message}'") - return message + status_code, body = self._record_response(record) + self._log.info(f"Returning response for REST_SYNC operation with status_code {status_code}: '{body}'") + + return (status_code, body) return self._handle_request(event, sync_operation) @@ -200,7 +224,7 @@ def _handle_async_submit(self, event: Dict[str, Any], context: Any) -> tuple[int :return: Tuple of (status_code, response_body) """ - def submit_operation(payload: BaseRequest) -> Dict[str, Any]: + def submit_operation(payload: BaseRequest) -> tuple[int, Dict[str, Any]]: self._log.info(f"Performing REST_ASYNC submit operation for payload: '{payload}'") queue_result = self._send_to_queue(payload) @@ -208,7 +232,7 @@ def submit_operation(payload: BaseRequest) -> Dict[str, Any]: response_body = {"status": "ACCEPTED", "request_id": payload.request_id} self._log.info(f"Returning response for REST_ASYNC submit operation: '{response_body}'") - return response_body + return (self._DEFAULT_STATUS_CODE, response_body) return self._handle_request(event, submit_operation) @@ -221,24 +245,26 @@ def _handle_async_poll(self, event: Dict[str, Any], context: Any) -> tuple[int, :return: Tuple of (status_code, response_body) """ - def poll_operation(payload: BaseRequest) -> Dict[str, Any]: + def poll_operation(payload: BaseRequest) -> tuple[int, Dict[str, Any]]: self._log.info(f"Performing REST_ASYNC poll operation for payload: '{payload}'") request_id = payload.request_id - message = self._get_message(payload) - self._log.info(f"Fetched message from database: {message}") - response_body = ( - message - if message - else self._build_failure_body( - request_id=request_id, - status="NOT_FOUND", - message=f"No response message found for request_id '{request_id}'. The message may be unavailable. Please try again.", + record = self._get_record(payload) + self._log.info(f"Fetched record from database: {record}") + if record is None: + # A response that has not arrived yet keeps its established 200-with-error-body shape. + return ( + self._DEFAULT_STATUS_CODE, + self._build_failure_body( + request_id=request_id, + status="NOT_FOUND", + message=f"No response message found for request_id '{request_id}'. The message may be unavailable. Please try again.", + ), ) - ) - self._log.info(f"Returning response for REST_ASYNC poll operation: '{response_body}'") - return response_body + status_code, response_body = self._record_response(record) + self._log.info(f"Returning response for REST_ASYNC poll operation with status_code {status_code}: '{response_body}'") + return (status_code, response_body) return self._handle_request(event, poll_operation) diff --git a/ak-py/src/agentkernel/integration/thread/thread_chat.py b/ak-py/src/agentkernel/integration/thread/thread_chat.py index 28e7fa87c..466074657 100644 --- a/ak-py/src/agentkernel/integration/thread/thread_chat.py +++ b/ak-py/src/agentkernel/integration/thread/thread_chat.py @@ -19,7 +19,7 @@ from ...core import Config from ...core.chat_service import RequestBuilder, ResponseBuilder from ...core.model import BaseChatRequest, BaseRunRequest, ExecutionMode, StreamChunk -from ...core.runtime import Runtime +from ...core.service import AgentService from .manager import ConversationThreadManager from .recorder import ThreadRecorder @@ -200,12 +200,12 @@ def _validate_chat_request(req: BaseChatRequest) -> None: def _check_agent_available(name: Optional[str]) -> None: """Agent-availability precheck before any thread write, keeping a missing agent from leaving a phantom thread with an unanswered user message. The rule itself is - shared with the other commit-before-running surfaces (Runtime.ensure_agent_available). + shared with the other commit-before-running surfaces (AgentService.ensure_agent_available). :param name: The requested agent name, or None for the default agent :raises ValueError: If no matching agent is available """ - Runtime.ensure_agent_available(name) + AgentService().ensure_agent_available(name) class ThreadRESTRequestHandler(AuthorisedRESTRequestHandler): diff --git a/ak-py/src/agentkernel/pipeline/response_store/base.py b/ak-py/src/agentkernel/pipeline/response_store/base.py index 529eae237..12f53ff9c 100644 --- a/ak-py/src/agentkernel/pipeline/response_store/base.py +++ b/ak-py/src/agentkernel/pipeline/response_store/base.py @@ -2,7 +2,7 @@ import logging import time from abc import ABC, abstractmethod -from typing import Dict, Iterator, Optional +from typing import Callable, Dict, Iterator, Optional from ...core.config import AKConfig @@ -86,13 +86,36 @@ def get_message_with_retry(self, request_id: str, get_and_delete: bool = False, """ if async_mode: return self._get_message_with_retry_async(request_id, get_and_delete) + return self._poll_with_retry(self.get_message, request_id, get_and_delete) + def get_record_with_retry(self, request_id: str, get_and_delete: bool = False) -> Dict | None: + """ + Wait until a record exists for a request ID and retrieve the whole record. + + The record-level counterpart of :meth:`get_message_with_retry`, for callers that must + honor the stored ``status_code`` instead of returning the body alone. + + :param request_id: Request ID + :param get_and_delete: Delete the record after retrieval when True + :return: the stored record as dict or None if not found + """ + return self._poll_with_retry(self.get_record, request_id, get_and_delete) + + def _poll_with_retry(self, read: Callable[[str, bool], Dict | None], request_id: str, get_and_delete: bool) -> Dict | None: + """ + Poll ``read`` on the configured retry budget until it yields a value. + + :param read: Reader called as ``read(request_id, get_and_delete)`` + :param request_id: Request ID + :param get_and_delete: Delete the entry after retrieval when True + :return: The first non-None read, or None once the budget is exhausted + """ retry_count, delay = self._get_retry_config() for attempt in range(retry_count): self._log.debug("Attempt %d/%d for request_id=%s", attempt + 1, retry_count, request_id) - message = self.get_message(request_id, get_and_delete=get_and_delete) - if message is not None: - return message + result = read(request_id, get_and_delete) + if result is not None: + return result if attempt < retry_count - 1: time.sleep(delay) return None diff --git a/ak-py/src/agentkernel/pipeline/transport/base.py b/ak-py/src/agentkernel/pipeline/transport/base.py index a18899c64..a7e6fab18 100644 --- a/ak-py/src/agentkernel/pipeline/transport/base.py +++ b/ak-py/src/agentkernel/pipeline/transport/base.py @@ -1,7 +1,7 @@ from abc import ABC, abstractmethod from typing import Any, List, Optional -from ...core.config import AKConfig +from ...core.config import DEFAULT_QUEUE_TRANSPORT_TYPE, AKConfig from ...core.util.factory import AKConfigError, require_extra, resolve_dotted from ..envelope import QueueMessage, QueueName @@ -99,20 +99,19 @@ class QueueTransportFactory: @staticmethod def resolve_type() -> str: - """Resolve the effective transport type. - - Explicit ``execution.queues.type`` wins; otherwise a configured input queue URL implies - ``sqs`` (compatibility with pre-#495 configs), else ``in_memory``. + """Resolve the transport type the application declared. + + Only ``execution.queues.type`` decides, which is why the field is mandatory inside a + declared queues block: queue coordinates are injected per component by a deployment (a + Lambda that consumes its input queue through an event source mapping is never given the + input URL, for instance), so inferring the transport from them made one process resolve + ``sqs`` while its sibling resolved ``in_memory``. A config with no queues block at all + runs the single-process default. """ queues = AKConfig.get().execution.queues - # The `type` field lands with the in_memory transport iteration; getattr keeps this - # resolution correct before and after that config change. - configured = getattr(queues, "type", None) if queues is not None else None - if configured: - return configured - if queues is not None and queues.input is not None and queues.input.url: - return "sqs" - return "in_memory" + if queues is None: + return DEFAULT_QUEUE_TRANSPORT_TYPE + return queues.type @classmethod def create(cls) -> QueueTransport: diff --git a/ak-py/src/agentkernel/schedule/manager.py b/ak-py/src/agentkernel/schedule/manager.py index e559ec37a..eb46cd9ad 100644 --- a/ak-py/src/agentkernel/schedule/manager.py +++ b/ak-py/src/agentkernel/schedule/manager.py @@ -14,7 +14,7 @@ from ..core.config import AKConfig from ..core.model import BaseChatRequest, ScheduleSpec -from ..core.runtime import Runtime +from ..core.service import AgentService from ..core.util.factory import AKConfigError from ..core.util.pagination import DEFAULT_PAGE_SIZE, clamp_limit, decode_cursor, encode_cursor from ..pipeline.transport.base import QueueTransportFactory @@ -48,12 +48,14 @@ def __init__(self, provider: ScheduleProvider, store: ScheduleStore): :param provider: Backend that fires the task's occurrences. :param store: Backend that persists the task records. :raises AKConfigError: If the provider cannot deliver to the configured queue transport, or - if the local provider is paired with anything but a single process. + if the local provider or the in-memory store is paired with anything + but a single process. """ self._provider = provider self._store = store self._validate_transport_compatibility() self._validate_local_provider_topology() + self._validate_store_topology() @classmethod def get(cls) -> Optional["ScheduleManager"]: @@ -127,7 +129,7 @@ def create( # agent is checked: an unnamed one resolves to whatever default the firing process has, and # that process is not necessarily this one. if agent: - Runtime.ensure_agent_available(agent) + AgentService().ensure_agent_available(agent) OccurrenceCalculator.validate(spec) now = utc_now_iso() @@ -221,6 +223,12 @@ def cancel(self, task_id: str, user_id: Optional[str] = None) -> ScheduledTask: than a delete. Deregistration tolerates a registration that is already gone, which is the normal state of a one-time schedule that has already fired. + Ordered as :meth:`create` and :meth:`update` are — store first, provider second, store + restored if the provider rejects — so a caller that sees an error never has to wonder which + of the two took effect. The window this leaves, where the record reads cancelled while the + registration can still fire once, is the harmless direction: ``apply_trigger`` refuses to + complete a cancelled task, so a trigger landing in it records its occurrence and nothing more. + :param task_id: Identifier of the task to cancel. :param user_id: When provided, the task's owner must match. :return: The cancelled task. @@ -229,19 +237,28 @@ def cancel(self, task_id: str, user_id: Optional[str] = None) -> ScheduledTask: :raises ValueError: If the task is already closed. :raises ScheduleError: If the provider rejected the deregistration. """ - task = self._require_amendable_task(task_id, user_id) - if task.provider_ref: - self._provider.delete(task.provider_ref) + previous = self._require_amendable_task(task_id, user_id) + cancelled = previous.model_copy(update={"status": ScheduleStatus.CANCELLED, "updated_at": utc_now_iso()}) + self._store.update(cancelled) + try: + if previous.provider_ref: + self._provider.delete(previous.provider_ref) + except Exception: + self._log.error(f"Restoring scheduled task {task_id}: provider deregistration failed") + self._store.update(previous) + raise self._log.info(f"Cancelled scheduled task {task_id}") - return self._store.update(task.model_copy(update={"status": ScheduleStatus.CANCELLED, "updated_at": utc_now_iso()})) + return cancelled - def record_trigger(self, task_id: str, request_id: Optional[str] = None, occurred_at: Optional[str] = None) -> None: + def record_trigger(self, task_id: str, user_id: Optional[str], request_id: Optional[str] = None, occurred_at: Optional[str] = None) -> None: """Record that an occurrence of a task fired, and complete a one-time task. Never raises: the occurrence fields are advisory bookkeeping, and a store that cannot - take them must not fail the run the trigger started. + take them must not fail the run the trigger started. A rejected owner is the same kind of + non-event — the run itself is legitimate, only its claim to be someone's occurrence is not. :param task_id: Identifier of the task that fired. + :param user_id: The user the run acts for; must own the task or nothing is recorded. :param request_id: Request id of the run the occurrence produced, when known. :param occurred_at: Occurrence timestamp reported by the provider; now when omitted. """ @@ -250,6 +267,8 @@ def record_trigger(self, task_id: str, request_id: Optional[str] = None, occurre if task is None: self._log.warning(f"Trigger received for unknown scheduled task {task_id}") return + if not self._owns_occurrence(task, user_id): + return # A one-time schedule has no further occurrences, so the trigger closes it. self._store.record_trigger( task_id, @@ -260,12 +279,39 @@ def record_trigger(self, task_id: str, request_id: Optional[str] = None, occurre except Exception as exc: self._log.error(f"Failed to record trigger of scheduled task {task_id}: {exc}") + def _owns_occurrence(self, task: ScheduledTask, user_id: Optional[str]) -> bool: + """Check that a run claiming to be a task's occurrence is entitled to say so. + + The trigger metadata (``scheduled_task_id``) rides on the ordinary chat request that + providers deliver, and the chat request is a client-bindable model — so any caller can name + any task id. A genuine trigger always matches, because the manager froze ``user_id`` into + the body from the task's own owner; a forged one names a task it does not own, and would + otherwise inflate another user's occurrence counters and complete their one-time task out + from under them (after which no amendment or cancellation is accepted). + + Stricter than :meth:`_check_ownership`: an absent identity is a mismatch rather than an + unauthenticated caller to wave through, since omitting ``user_id`` would reopen the hole. + + :param task: The task the run claims to be an occurrence of. + :param user_id: The user the run acts for. + :return: True when the occurrence may be recorded. + """ + if user_id is not None and task.user_id == user_id: + return True + self._log.warning(f"Ignoring trigger for scheduled task {task.task_id}: user {user_id} does not own it") + return False + def _validate_transport_compatibility(self) -> None: """Fail fast when the provider cannot deliver to the configured queue transport. The declared transport type is resolved rather than the transport itself, so the check holds on deployments whose pipeline transport class is not the one consuming the queue. + Unlike the two topology guards below, an absent ``schedule`` block does not skip the check: + the pairing is undeliverable whoever supplied the provider, so a caller that constructed + the manager with backends of its own is told the same thing — under the provider's class + name, since no configured name exists to quote. + :raises AKConfigError: If the pairing cannot deliver a trigger. """ supported_transports = type(self._provider).supported_transports @@ -274,7 +320,8 @@ def _validate_transport_compatibility(self) -> None: transport_type = QueueTransportFactory.resolve_type() if transport_type in supported_transports: return - provider_type = AKConfig.get().schedule.provider.type + schedule_config = AKConfig.get().schedule + provider_type = schedule_config.provider.type if schedule_config is not None else type(self._provider).__name__ raise AKConfigError( f"schedule provider '{provider_type}' delivers to {sorted(supported_transports)} transports, " f"but the configured queue transport is '{transport_type}'" @@ -309,6 +356,30 @@ def _validate_local_provider_topology(self) -> None: f"'in_memory' store, but the configured transport is '{transport_type}' and the store is '{store_type}'" ) + def _validate_store_topology(self) -> None: + """Fail fast when the in-memory store is configured outside a single process. + + Its records are a dict in one process's memory. A durable provider fires triggers into the + queue whatever process created them, so on a broker transport the creation paths (chat + interception and the ``create_schedule`` tool, both in the agent-runner process) and the + management routes (the IOHandler process) would each hold their own set of records: a + listing would not see what the runner created, and an amendment would report success + against a record the firing process never had. Firing itself is unaffected, which is why + this is a separate guard from the two above it. + + :raises AKConfigError: If the ``in_memory`` store is paired with a broker transport. + """ + schedule_config = AKConfig.get().schedule + if schedule_config is None or schedule_config.store.type.lower() != "in_memory": + return + transport_type = QueueTransportFactory.resolve_type() + if transport_type == "in_memory": + return + raise AKConfigError( + f"schedule store 'in_memory' is single-process only: its records are reachable from one process, " + f"but the configured queue transport is '{transport_type}'; use the 'redis', 'valkey' or 'dynamodb' store" + ) + def _require_amendable_task(self, task_id: str, user_id: Optional[str]) -> ScheduledTask: """Load a task that a mutation may still be applied to. diff --git a/ak-py/src/agentkernel/schedule/model.py b/ak-py/src/agentkernel/schedule/model.py index ae5346185..a73db7bda 100644 --- a/ak-py/src/agentkernel/schedule/model.py +++ b/ak-py/src/agentkernel/schedule/model.py @@ -72,6 +72,27 @@ class ScheduledTask(BaseModel): trigger_count: int = 0 last_request_id: Optional[str] = None + def apply_trigger(self, request_id: Optional[str], occurred_at: str, completed: bool) -> "ScheduledTask": + """Advance the occurrence bookkeeping after one of this task's triggers fired. + + What an occurrence records, and when it closes the task, is the same on every backend — + a store's remaining job is only to load the record and write it back — so the rule lives + here rather than once per store. A cancellation outranks a completion: a task cancelled + between the fire and the record must not come back as completed. + + :param request_id: Request id of the run the occurrence produced, when known. + :param occurred_at: ISO-8601 UTC timestamp of the occurrence. + :param completed: Whether this was the task's final occurrence. + :return: This task, advanced in place, so a store can write it back in one expression. + """ + self.last_triggered_at = occurred_at + self.last_request_id = request_id + self.trigger_count += 1 + self.updated_at = utc_now_iso() + if completed and self.status is not ScheduleStatus.CANCELLED: + self.status = ScheduleStatus.COMPLETED + return self + class ScheduledTaskPage(BaseModel): """A page of scheduled tasks and the cursor for the next one (None on the last page).""" diff --git a/ak-py/src/agentkernel/schedule/provider/base.py b/ak-py/src/agentkernel/schedule/provider/base.py index 80d26bf70..861699d40 100644 --- a/ak-py/src/agentkernel/schedule/provider/base.py +++ b/ak-py/src/agentkernel/schedule/provider/base.py @@ -9,12 +9,12 @@ from abc import ABC, abstractmethod from typing import ClassVar, Optional -from ...core.config import AKConfig -from ...core.util.factory import AKConfigError, resolve_dotted +from ...core.config import AKConfig, _ScheduleEventBridgeConfig +from ...core.util.factory import AKConfigError, require_extra, resolve_dotted from ..model import ScheduledTask # Providers shipped with the capability; anything else is treated as a dotted path (BYO). -_BUILTIN_SCHEDULE_PROVIDERS = ["local"] +_BUILTIN_SCHEDULE_PROVIDERS = ["local", "eventbridge"] class ScheduleProvider(ABC): @@ -93,13 +93,14 @@ class ScheduleProviderFactory: def create() -> ScheduleProvider: """Create the configured provider, resolving its dependencies from config once. - ``type`` is a built-in short name or a dotted path to a user-supplied + ``type`` is a built-in short name (local, eventbridge) or a dotted path to a user-supplied ``ScheduleProvider`` subclass (bring-your-own). An unknown, non-dotted value raises ``AKConfigError``. :return: The configured provider. :raises ValueError: If the scheduling capability is not configured. - :raises AKConfigError: If the configured type is neither a built-in nor a resolvable dotted path. + :raises AKConfigError: If the configured type is neither a built-in nor a resolvable dotted + path, or if a built-in's own configuration is incomplete. """ schedule_config = AKConfig.get().schedule if schedule_config is None: @@ -107,16 +108,47 @@ def create() -> ScheduleProvider: provider_type = schedule_config.provider.type ScheduleProviderFactory._log.info(f"Building '{provider_type}' schedule provider") - if provider_type.lower() == "local": + key = provider_type.lower() + if key == "local": from ...pipeline.transport.base import QueueTransportFactory from .local import LocalScheduleProvider # The transport is resolved here, not inside the provider: a provider must not read # AKConfig in its methods. return LocalScheduleProvider(transport=QueueTransportFactory.create()) + if key == "eventbridge": + with require_extra("aws", "schedule.provider.type: eventbridge"): + from .eventbridge import EventBridgeScheduleProvider + + settings = ScheduleProviderFactory._require_eventbridge_settings(schedule_config.provider.eventbridge) + return EventBridgeScheduleProvider(**settings) if "." not in provider_type: raise AKConfigError( f"unknown schedule provider type '{provider_type}'; expected one of {_BUILTIN_SCHEDULE_PROVIDERS} " "or a dotted path to a ScheduleProvider subclass" ) return resolve_dotted(provider_type, base=ScheduleProvider)() + + @staticmethod + def _require_eventbridge_settings(eventbridge_config: Optional[_ScheduleEventBridgeConfig]) -> dict: + """Read the EventBridge provider's connection settings, rejecting an incomplete block. + + All three are mandatory and Terraform-provisioned: without them a schedule cannot be + registered at all, so an incomplete block fails here rather than at the first deferral. + + :param eventbridge_config: The ``schedule.provider.eventbridge`` block, when present. + :return: The provider's constructor arguments. + :raises AKConfigError: If any of the three settings is missing. + """ + settings = { + "group_name": eventbridge_config.group_name if eventbridge_config else None, + "role_arn": eventbridge_config.role_arn if eventbridge_config else None, + "queue_arn": eventbridge_config.queue_arn if eventbridge_config else None, + } + missing = sorted(name for name, value in settings.items() if not value) + if missing: + raise AKConfigError( + f"schedule provider 'eventbridge' requires schedule.provider.eventbridge settings {missing}: " + "they are provisioned by the AWS Terraform stack (AK_SCHEDULE__PROVIDER__EVENTBRIDGE__*)" + ) + return settings diff --git a/ak-py/src/agentkernel/schedule/provider/eventbridge.py b/ak-py/src/agentkernel/schedule/provider/eventbridge.py new file mode 100644 index 000000000..f43703d9c --- /dev/null +++ b/ak-py/src/agentkernel/schedule/provider/eventbridge.py @@ -0,0 +1,259 @@ +"""AWS EventBridge Scheduler trigger provider: one schedule per task, targeting the input queue. + +The service owns the timers and interprets the occurrence rule itself, so this provider never +computes a fire time — it translates the spec into an EventBridge schedule expression, registers +the frozen trigger body as the target's static input, and lets AWS resolve the occurrence +placeholders through its context attributes at fire time. +""" + +import datetime +import logging +import threading +from typing import Any, ClassVar, Optional, Tuple + +import boto3 +from botocore.exceptions import ClientError + +from ..errors import ScheduleError +from ..model import TOKEN_OCCURRENCE_TIME, TOKEN_REQUEST_ID, ScheduledTask, ScheduleStatus +from ..timing import CRON_FIELD_COUNT +from .base import ScheduleProvider + +# Context attributes EventBridge Scheduler resolves per occurrence, substituted into the frozen +# trigger body at registration time. The scheduled-time one is not optional decoration: an SQS FIFO +# target requires content-based deduplication (Scheduler cannot set a MessageDeduplicationId), so +# two occurrences of an otherwise identical body inside the dedup window would collapse into one. +CONTEXT_EXECUTION_ID = "" +CONTEXT_SCHEDULED_TIME = "" + +# Name prefix of every schedule this provider registers, so AK's schedules are recognizable in a +# group that may hold others. +SCHEDULE_NAME_PREFIX = "ak-" + +# One-time expression form; the spec's own timestamp is a local wall-clock time and the schedule's +# timezone is sent alongside it, so no offset belongs in this rendering. +AT_EXPRESSION_FORMAT = "%Y-%m-%dT%H:%M:%S" + +# AWS reads "any day" as '?' rather than '*', and rejects a schedule that constrains both day +# fields at once. +CRON_ANY_DAY = "?" +CRON_EVERY = "*" + +_NOT_FOUND_ERROR_CODE = "ResourceNotFoundException" + + +class EventBridgeScheduleProvider(ScheduleProvider): + """Registers each task as an EventBridge Scheduler schedule delivering to an SQS queue. + + Durable and process-independent: the timers live in the service, so any process holding the + same configuration can amend or cancel a task another one created. Delivery, however, is baked + into the registration as an SQS target, which is why the provider declares SQS as its only + supported transport. + """ + + supported_transports: ClassVar[Optional[frozenset[str]]] = frozenset({"sqs"}) + + _log = logging.getLogger("ak.schedule.provider.eventbridge") + + def __init__(self, group_name: str, role_arn: str, queue_arn: str): + """Initialize the provider. + + :param group_name: Schedule group the schedules are created in. + :param role_arn: Execution role Scheduler assumes to deliver a trigger to the queue. + :param queue_arn: Input queue the triggers are delivered to. + """ + self._group_name = group_name + self._role_arn = role_arn + self._queue_arn = queue_arn + self._client: Optional[Any] = None + self._client_lock = threading.Lock() + + def create(self, task: ScheduledTask, body_template: str) -> str: + """Register the task as a schedule and return its ARN. + + :param task: The task to register. + :param body_template: The frozen trigger body. + :return: The schedule ARN, which is this provider's reference. + :raises ScheduleError: If Scheduler rejected the registration. + """ + self._log.info(f"Creating EventBridge schedule for scheduled task {task.task_id}") + kwargs = self._schedule_kwargs(task, body_template, self._group_name, self._schedule_name(task.task_id)) + response = self._call("create_schedule", **kwargs) + return response["ScheduleArn"] + + def update(self, task: ScheduledTask, body_template: str) -> None: + """Replace the schedule's rule, body and enabled state. + + Scheduler has no partial update, so the whole registration — target included — is re-sent. + + :param task: The amended task. + :param body_template: The re-frozen trigger body. + :raises ScheduleError: If Scheduler rejected the amendment. + """ + group_name, name = self._reference_parts(task.provider_ref, task.task_id) + self._log.info(f"Updating EventBridge schedule {name} for scheduled task {task.task_id}") + self._call("update_schedule", **self._schedule_kwargs(task, body_template, group_name, name)) + + def delete(self, provider_ref: str) -> None: + """Deregister a schedule, tolerating one that is already gone. + + A fired one-time schedule deletes itself (``ActionAfterCompletion``), so a cancellation + arriving afterwards must still succeed. + + :param provider_ref: The schedule ARN returned by :meth:`create`. + :raises ScheduleError: If Scheduler rejected the deletion for any other reason. + """ + group_name, name = self._reference_parts(provider_ref) + self._log.info(f"Deleting EventBridge schedule {name}") + self._call("delete_schedule", tolerate_missing=True, Name=name, GroupName=group_name) + + def get(self, provider_ref: str) -> Optional[dict]: + """Return Scheduler's own view of a schedule. + + :param provider_ref: The schedule ARN returned by :meth:`create`. + :return: The native description, or None when the schedule no longer exists. + """ + group_name, name = self._reference_parts(provider_ref) + return self._call("get_schedule", tolerate_missing=True, Name=name, GroupName=group_name) + + def _schedule_kwargs(self, task: ScheduledTask, body_template: str, group_name: str, name: str) -> dict: + """Build the create/update payload for a task. + + :param task: The task being registered. + :param body_template: The frozen trigger body. + :param group_name: Schedule group the registration lives in. + :param name: Schedule name the registration lives under. + :return: The keyword arguments for ``create_schedule``/``update_schedule``. + :raises ValueError: If the occurrence rule cannot be expressed as an AWS schedule. + """ + is_one_time = task.spec.at is not None + return { + "Name": name, + "GroupName": group_name, + "ScheduleExpression": self._schedule_expression(task), + "ScheduleExpressionTimezone": task.spec.timezone, + "FlexibleTimeWindow": {"Mode": "OFF"}, + # A fired one-time schedule has no further purpose; the store record is the audit trail. + "ActionAfterCompletion": "DELETE" if is_one_time else "NONE", + "State": "ENABLED" if task.status is ScheduleStatus.ACTIVE else "DISABLED", + "Target": { + "Arn": self._queue_arn, + "RoleArn": self._role_arn, + "Input": self._substitute_tokens(body_template), + "SqsParameters": {"MessageGroupId": self.message_group_id(task)}, + }, + } + + @staticmethod + def _schedule_name(task_id: str) -> str: + """Return the schedule name a task is registered under.""" + return f"{SCHEDULE_NAME_PREFIX}{task_id}" + + @staticmethod + def _substitute_tokens(body_template: str) -> str: + """Point the occurrence placeholders at the context attributes AWS resolves at fire time. + + :param body_template: The frozen trigger body. + :return: The body to register as the target's input. + """ + return body_template.replace(TOKEN_REQUEST_ID, CONTEXT_EXECUTION_ID).replace(TOKEN_OCCURRENCE_TIME, CONTEXT_SCHEDULED_TIME) + + @classmethod + def _schedule_expression(cls, task: ScheduledTask) -> str: + """Render a task's occurrence rule as an EventBridge schedule expression. + + :param task: The task whose rule is being rendered. + :return: An ``at(...)`` or ``cron(...)`` expression. + :raises ValueError: If the rule cannot be expressed as an AWS schedule. + """ + if task.spec.at is not None: + return f"at({cls._at_timestamp(task.spec.at)})" + return f"cron({cls._aws_cron_fields(task.spec.cron)})" + + @staticmethod + def _at_timestamp(at: str) -> str: + """Normalize a one-time timestamp to the second precision the ``at()`` form requires. + + The manager has already validated the timestamp, so this only reformats it. + + :param at: The spec's ISO-8601 local wall-clock timestamp. + :return: The timestamp in the ``at()`` form. + :raises ValueError: If the timestamp is not ISO-8601. + """ + return datetime.datetime.fromisoformat(at).strftime(AT_EXPRESSION_FORMAT) + + @staticmethod + def _aws_cron_fields(cron: str) -> str: + """Translate a standard 5-field cron expression into the 6-field AWS flavor. + + AWS adds a trailing year field and requires exactly one of the two day fields to be the + wildcard ``?``: constraining both day-of-month and day-of-week at once is rejected by the + service, so it is rejected here where the caller still sees the error. + + :param cron: The standard 5-field expression. + :return: The AWS field string (without the surrounding ``cron(...)``). + :raises ValueError: If the expression is not 5 fields, or both day fields are constrained. + """ + fields = cron.split() + if len(fields) != CRON_FIELD_COUNT: + raise ValueError(f"schedule 'cron' must be a standard {CRON_FIELD_COUNT}-field expression such as '0 9 * * 1': got '{cron}'") + minute, hour, day_of_month, month, day_of_week = fields + if day_of_month != CRON_EVERY and day_of_week != CRON_EVERY: + raise ValueError(f"schedule 'cron' cannot constrain both the day-of-month and the day-of-week field: got '{cron}'") + if day_of_week == CRON_EVERY: + day_of_week = CRON_ANY_DAY + else: + day_of_month = CRON_ANY_DAY + return f"{minute} {hour} {day_of_month} {month} {day_of_week} {CRON_EVERY}" + + def _reference_parts(self, provider_ref: Optional[str], task_id: Optional[str] = None) -> Tuple[str, str]: + """Resolve the group and name a registration lives under from its stored reference. + + The reference is read rather than rebuilt from config so that renaming the configured group + cannot orphan schedules that are already live under the old one. A reference that is not an + ARN is treated as a bare name in the configured group. + + :param provider_ref: The stored provider reference (a schedule ARN). + :param task_id: Task id to fall back to when no reference was stored yet. + :return: A tuple of (group name, schedule name). + :raises ScheduleError: If neither a reference nor a task id is available. + """ + if provider_ref: + # arn:aws:scheduler:::schedule// + segments = provider_ref.rsplit("/", 2) + if len(segments) == 3: + return segments[1], segments[2] + return self._group_name, segments[-1] + if task_id: + return self._group_name, self._schedule_name(task_id) + raise ScheduleError("Cannot address an EventBridge schedule without a provider reference") + + def _call(self, operation: str, tolerate_missing: bool = False, **kwargs) -> Optional[dict]: + """Invoke a Scheduler operation, mapping its failures onto ``ScheduleError``. + + :param operation: Name of the boto3 ``scheduler`` client method. + :param tolerate_missing: Whether a missing schedule is an acceptable outcome (returns None). + :param kwargs: Keyword arguments for the operation. + :return: The AWS response, or None when a tolerated missing schedule was addressed. + :raises ScheduleError: If Scheduler rejected the call. + """ + try: + return getattr(self._scheduler_client(), operation)(**kwargs) + except ClientError as exc: + error = exc.response.get("Error", {}) + if tolerate_missing and error.get("Code") == _NOT_FOUND_ERROR_CODE: + self._log.debug(f"EventBridge schedule already absent for {operation}") + return None + raise ScheduleError(f"EventBridge Scheduler {operation} failed: {error.get('Message', exc)}") from exc + + def _scheduler_client(self): + """Return the Scheduler client, creating it on first use. + + Deferred so that constructing the provider — which happens whenever the capability is + configured — never reaches AWS; only an actual schedule operation does. + """ + if self._client is None: + with self._client_lock: + if self._client is None: + self._client = boto3.client("scheduler") + return self._client diff --git a/ak-py/src/agentkernel/schedule/provider/local.py b/ak-py/src/agentkernel/schedule/provider/local.py index 33d473808..19e1f3dfb 100644 --- a/ak-py/src/agentkernel/schedule/provider/local.py +++ b/ak-py/src/agentkernel/schedule/provider/local.py @@ -21,6 +21,12 @@ # contract reads the same whichever provider produced it. OCCURRENCE_TIME_FORMAT = "%Y-%m-%dT%H:%M:%SZ" +# When the lazily-discarded heap entries are worth a rebuild (see `_compact_heap`): the heap may +# hold this multiple of the armed occurrences before it is rebuilt from them. The floor keeps a +# handful of tasks churning their schedules from rebuilding on every amendment. +_COMPACTION_FACTOR = 2 +_MIN_COMPACTION_HEAP_SIZE = 16 + @dataclass(frozen=True) class _ArmedTask: @@ -92,6 +98,7 @@ def delete(self, provider_ref: str) -> None: """ with self._condition: self._armed.pop(provider_ref, None) + self._compact_heap() self._condition.notify_all() def get(self, provider_ref: str) -> Optional[dict]: @@ -124,9 +131,28 @@ def _arm(self, task: ScheduledTask, body_template: str, after: Optional[datetime with self._condition: self._armed[task.task_id] = _ArmedTask(task=task, body_template=body_template, fire_time=fire_time, fire_at=fire_time.timestamp()) heapq.heappush(self._heap, (fire_time.timestamp(), next(self._sequence), task.task_id)) + self._compact_heap() self._condition.notify_all() self._log.debug(f"Armed scheduled task {task.task_id} for {fire_time.isoformat()}") + def _compact_heap(self) -> None: + """Drop the heap entries no armed occurrence still points at, once they outnumber the live ones. + + Re-arming and disarming leave their previous entry behind — removing it from the middle of a + heap costs a scan, so :meth:`_take_due_occurrence` discards it lazily when it surfaces + instead. A task amended repeatedly to future instants therefore parks one dead entry per + amendment until that instant passes, which an amendment loop would grow without bound. The + rebuild bounds it: it is O(n) in the heap, but amortized over the amendments that caused the + growth, and ``_armed`` already holds every occurrence the heap is derived from. + + Callers hold the condition's lock. + """ + if len(self._heap) <= max(_MIN_COMPACTION_HEAP_SIZE, _COMPACTION_FACTOR * len(self._armed)): + return + self._log.debug(f"Compacting local schedule heap: {len(self._heap)} entries for {len(self._armed)} armed occurrences") + self._heap = [(armed.fire_at, next(self._sequence), task_id) for task_id, armed in self._armed.items()] + heapq.heapify(self._heap) + def _start_thread(self) -> None: """Start the scheduler thread on first use. Daemon: it must never hold up a shutdown.""" with self._condition: diff --git a/ak-py/src/agentkernel/schedule/store/base.py b/ak-py/src/agentkernel/schedule/store/base.py index 882c5469a..a4e04e3bf 100644 --- a/ak-py/src/agentkernel/schedule/store/base.py +++ b/ak-py/src/agentkernel/schedule/store/base.py @@ -5,12 +5,12 @@ from typing import List, Optional, Tuple from ...core.config import AKConfig -from ...core.util.factory import AKConfigError, resolve_dotted +from ...core.util.factory import AKConfigError, require_extra, resolve_dotted from ...core.util.pagination import DEFAULT_PAGE_SIZE from ..model import ScheduledTask # Backends shipped with the capability; anything else is treated as a dotted path (BYO). -_BUILTIN_SCHEDULE_STORES = ["in_memory"] +_BUILTIN_SCHEDULE_STORES = ["in_memory", "redis", "valkey", "dynamodb"] class ScheduleStore(ABC): @@ -104,8 +104,9 @@ class ScheduleStoreBuilder: def build() -> ScheduleStore: """Build and return a ScheduleStore instance based on the configured ``schedule.store.type``. - ``type`` is a built-in short name or a dotted path to a user-supplied ``ScheduleStore`` - subclass (bring-your-own). An unknown, non-dotted value raises ``AKConfigError``. + ``type`` is a built-in short name (in_memory, redis, valkey, dynamodb) or a dotted path to a + user-supplied ``ScheduleStore`` subclass (bring-your-own). An unknown, non-dotted value + raises ``AKConfigError``. :return: The configured store. :raises ValueError: If the scheduling capability is not configured. @@ -117,10 +118,26 @@ def build() -> ScheduleStore: store_type = schedule_config.store.type ScheduleStoreBuilder._log.info(f"Building '{store_type}' schedule store") - if store_type.lower() == "in_memory": + key = store_type.lower() + if key == "in_memory": from .in_memory import InMemoryScheduleStore return InMemoryScheduleStore() + if key == "redis": + with require_extra("redis", "schedule.store.type: redis"): + from .redis import RedisScheduleStore + + return RedisScheduleStore() + if key == "valkey": + with require_extra("valkey", "schedule.store.type: valkey"): + from .valkey import ValkeyScheduleStore + + return ValkeyScheduleStore() + if key == "dynamodb": + with require_extra("aws", "schedule.store.type: dynamodb"): + from .dynamodb import DynamoDBScheduleStore + + return DynamoDBScheduleStore() if "." not in store_type: raise AKConfigError( f"unknown schedule store type '{store_type}'; expected one of {_BUILTIN_SCHEDULE_STORES} " diff --git a/ak-py/src/agentkernel/schedule/store/dynamodb.py b/ak-py/src/agentkernel/schedule/store/dynamodb.py new file mode 100644 index 000000000..ddaecf723 --- /dev/null +++ b/ak-py/src/agentkernel/schedule/store/dynamodb.py @@ -0,0 +1,102 @@ +"""DynamoDB-backed scheduled-task store. + +Expected table schema: + Partition Key: ``task_id`` (S) + Sort Key: none + TTL attribute: ``expiry_time`` (N) — Unix epoch seconds (optional, disabled by default) + +Item layout (one item per task): + task_id -> the partition key + data -> the ScheduledTask as JSON + user_id -> owner, denormalized so a listing filters in the scan itself + updated_at -> ISO-8601 timestamp, denormalized so a listing orders and pages on the items + and deserializes only the page it returns + +Listings scan the table with a filter expression rather than using an index: schedules are a +low-cardinality resource (one item per registered task, no per-message growth), so the thread +store's precedent applies without needing a GSI. +""" + +import logging +from typing import List, Optional, Tuple + +from boto3.dynamodb.conditions import Attr + +from ...core.config import AKConfig +from ...core.util.driver.dynamodb import DynamoDBDriver +from ...core.util.pagination import DEFAULT_PAGE_SIZE, paginate +from ..model import ScheduledTask +from .base import ScheduleStore + + +class DynamoDBScheduleStore(ScheduleStore): + """DynamoDB-backed implementation of the ScheduleStore interface.""" + + def __init__(self): + self._log = logging.getLogger("ak.schedule.store.dynamodb") + schedule_config = AKConfig.get().schedule + cfg = schedule_config.store.dynamodb if schedule_config is not None else None + if cfg is None or not cfg.table_name: + raise ValueError("AKConfig.schedule.store.dynamodb.table_name must be set to use DynamoDBScheduleStore") + # A task is one item written whole, so the driver's own expiry_time handling is enough here + # (unlike the thread store, which needs per-operation TTL decisions across several items). + self._driver = DynamoDBDriver(table_name=cfg.table_name, partition_key="task_id", ttl=int(cfg.ttl)) + + def create(self, task: ScheduledTask) -> ScheduledTask: + self._log.debug(f"Storing scheduled task {task.task_id} for user {task.user_id}") + return self._write(task) + + def get(self, task_id: str) -> Optional[ScheduledTask]: + item = self._driver.get(task_id) + if not item: + return None + return ScheduledTask.model_validate_json(item["data"]) + + def update(self, task: ScheduledTask) -> ScheduledTask: + return self._write(task) + + def delete(self, task_id: str) -> None: + self._driver.delete(task_id) + + def list(self, user_id: Optional[str] = None, limit: int = DEFAULT_PAGE_SIZE, offset: int = 0) -> Tuple[List[ScheduledTask], Optional[int]]: + scan_kwargs = {} if user_id is None else {"FilterExpression": Attr("user_id").eq(user_id)} + items: List[dict] = [] + resp = self._driver.table.scan(**scan_kwargs) + while True: + items.extend(resp.get("Items", [])) + if "LastEvaluatedKey" not in resp: + break + resp = self._driver.table.scan(ExclusiveStartKey=resp["LastEvaluatedKey"], **scan_kwargs) + + # Ordering and paging run on the denormalized attributes, so only the page's documents are + # deserialized — the scan returns the whole table, but a listing returns one page of it. + items.sort(key=lambda item: item["updated_at"], reverse=True) + page, next_offset = paginate(items, limit, offset) + return [ScheduledTask.model_validate_json(item["data"]) for item in page], next_offset + + def record_trigger(self, task_id: str, request_id: Optional[str], occurred_at: str, completed: bool) -> None: + task = self.get(task_id) + if task is None: + self._log.warning(f"Ignoring trigger record for unknown scheduled task {task_id}") + return + self._write(task.apply_trigger(request_id, occurred_at, completed)) + + def clear(self) -> None: + self._log.debug("Clearing all stored scheduled tasks") + self._driver.clear_all() + + def _write(self, task: ScheduledTask) -> ScheduledTask: + """Write a task as one item, carrying the attributes a listing filters and sorts on. + + :param task: The full record to write. + :return: The written task. + """ + self._driver.put( + { + "task_id": task.task_id, + "data": task.model_dump_json(), + "user_id": task.user_id, + "updated_at": task.updated_at, + } + ) + return task diff --git a/ak-py/src/agentkernel/schedule/store/in_memory.py b/ak-py/src/agentkernel/schedule/store/in_memory.py index 24b0213b6..b74cc08ad 100644 --- a/ak-py/src/agentkernel/schedule/store/in_memory.py +++ b/ak-py/src/agentkernel/schedule/store/in_memory.py @@ -4,7 +4,7 @@ from typing import ClassVar, List, Optional, Tuple from ...core.util.pagination import DEFAULT_PAGE_SIZE, paginate -from ..model import ScheduledTask, ScheduleStatus, utc_now_iso +from ..model import ScheduledTask from .base import ScheduleStore @@ -45,12 +45,8 @@ def record_trigger(self, task_id: str, request_id: Optional[str], occurred_at: s if task is None: self._log.warning(f"Ignoring trigger record for unknown scheduled task {task_id}") return - task.last_triggered_at = occurred_at - task.last_request_id = request_id - task.trigger_count += 1 - task.updated_at = utc_now_iso() - if completed and task.status is not ScheduleStatus.CANCELLED: - task.status = ScheduleStatus.COMPLETED + # The stored record is advanced directly: it is the persisted state, not a copy of it. + task.apply_trigger(request_id, occurred_at, completed) def clear(self) -> None: self._log.debug("Clearing all stored scheduled tasks") diff --git a/ak-py/src/agentkernel/schedule/store/redis.py b/ak-py/src/agentkernel/schedule/store/redis.py new file mode 100644 index 000000000..64062349c --- /dev/null +++ b/ak-py/src/agentkernel/schedule/store/redis.py @@ -0,0 +1,20 @@ +"""Redis-backed scheduled-task store.""" + +import logging + +from ...core.config import AKConfig +from ...core.util.driver.redis import RedisDriver +from .redis_like import _RedisLikeScheduleStore + + +class RedisScheduleStore(_RedisLikeScheduleStore): + """Redis-backed implementation of the ScheduleStore interface.""" + + def __init__(self): + self._log = logging.getLogger("ak.schedule.store.redis") + schedule_config = AKConfig.get().schedule + cfg = schedule_config.store.redis if schedule_config is not None else None + if cfg is None: + raise ValueError("AKConfig.schedule.store.redis must be set to use RedisScheduleStore") + self._prefix = cfg.prefix + self._driver = RedisDriver(url=cfg.url, prefix=cfg.prefix, ttl=int(cfg.ttl)) diff --git a/ak-py/src/agentkernel/schedule/store/redis_like.py b/ak-py/src/agentkernel/schedule/store/redis_like.py new file mode 100644 index 000000000..f4c425054 --- /dev/null +++ b/ak-py/src/agentkernel/schedule/store/redis_like.py @@ -0,0 +1,120 @@ +"""Redis-like implementation of the ScheduleStore interface. + +Layout (keys under the configured prefix): + - Task: {prefix}task:{task_id} -> ScheduledTask JSON document + - User index: {prefix}index:user:{user_id} -> set of task_ids + - All index: {prefix}index:all -> set of task_ids + +A task is one document, so every write is a full SET of that document and the index sets exist +only to answer listings without scanning the keyspace. TTL defaults to 0 for schedules (a task +that silently expired would stop firing with no audit trail); when one is configured it is +refreshed on every write of the record it belongs to. +""" + +import logging +from typing import List, Optional, Tuple + +from ...core.util.driver.redis_like import _RedisLikeDriver +from ...core.util.pagination import DEFAULT_PAGE_SIZE, paginate +from ..model import ScheduledTask +from .base import ScheduleStore + +# Every user index, for the one case that cannot name a single owner: dropping the memberships of +# a task whose document is already gone. Kept beside the key builders it mirrors. +_USER_INDEX_PATTERN = "index:user:*" + + +class _RedisLikeScheduleStore(ScheduleStore): + """Shared scheduled-task store body for the Redis-protocol backends. + + Concrete subclasses (``RedisScheduleStore``, ``ValkeyScheduleStore``) implement only + ``__init__``, where they must set all three attributes below — this class reads them but never + assigns them. Mirrors ``_RedisLikeThreadStore``, whose subclasses supply their driver the same way. + """ + + _driver: _RedisLikeDriver + _prefix: str + _log: logging.Logger + + def _task_key(self, task_id: str) -> str: + return self._driver.key(f"task:{task_id}") + + def _user_index_key(self, user_id: str) -> str: + return self._driver.key(f"index:user:{user_id}") + + def _all_index_key(self) -> str: + return self._driver.key("index:all") + + def _expire(self, *keys: str) -> None: + if self._driver.ttl > 0: + for key in keys: + self._driver.expire(key) + + def create(self, task: ScheduledTask) -> ScheduledTask: + self._log.debug(f"Storing scheduled task {task.task_id} for user {task.user_id}") + return self._write(task) + + def get(self, task_id: str) -> Optional[ScheduledTask]: + payload = self._driver.get(self._task_key(task_id)) + if payload is None: + return None + return ScheduledTask.model_validate_json(payload) + + def update(self, task: ScheduledTask) -> ScheduledTask: + return self._write(task) + + def delete(self, task_id: str) -> None: + task = self.get(task_id) + self._driver.delete(self._task_key(task_id)) + # Both memberships go whether or not the document was still readable: a record whose TTL + # elapsed ahead of its index sets would otherwise stay a member forever, and every later + # listing would keep paying to skip it. The owning index is the one the document names; + # with no document left to name it, the user indexes are searched for the id instead. + user_index_keys = [self._user_index_key(task.user_id)] if task is not None else self._driver.scan_keys(_USER_INDEX_PATTERN) + for user_index_key in user_index_keys: + self._driver.srem(user_index_key, task_id) + self._driver.srem(self._all_index_key(), task_id) + + def list(self, user_id: Optional[str] = None, limit: int = DEFAULT_PAGE_SIZE, offset: int = 0) -> Tuple[List[ScheduledTask], Optional[int]]: + index_key = self._all_index_key() if user_id is None else self._user_index_key(user_id) + tasks: List[ScheduledTask] = [] + for task_id in self._driver.smembers(index_key): + task = self.get(task_id) + # A member without a document is a task whose TTL elapsed ahead of the index set. + if task is None: + continue + if user_id is not None and task.user_id != user_id: + continue + tasks.append(task) + tasks.sort(key=lambda task: task.updated_at, reverse=True) + return paginate(tasks, limit, offset) + + def record_trigger(self, task_id: str, request_id: Optional[str], occurred_at: str, completed: bool) -> None: + task = self.get(task_id) + if task is None: + self._log.warning(f"Ignoring trigger record for unknown scheduled task {task_id}") + return + self._write(task.apply_trigger(request_id, occurred_at, completed)) + + def clear(self) -> None: + self._log.debug(f"Clearing all scheduled task keys with prefix {self._prefix}") + self._driver.clear_prefix() + + def _write(self, task: ScheduledTask) -> ScheduledTask: + """Write a task document and (re)register it in both index sets. + + The index memberships are re-added on every write, not just on creation: under a configured + TTL an index set can expire while the task is still live, and a task missing from the index + would vanish from every listing. + + :param task: The full record to write. + :return: The written task. + """ + task_key = self._task_key(task.task_id) + user_index_key = self._user_index_key(task.user_id) + all_index_key = self._all_index_key() + self._driver.set(task_key, task.model_dump_json()) + self._driver.sadd(user_index_key, task.task_id) + self._driver.sadd(all_index_key, task.task_id) + self._expire(task_key, user_index_key, all_index_key) + return task diff --git a/ak-py/src/agentkernel/schedule/store/valkey.py b/ak-py/src/agentkernel/schedule/store/valkey.py new file mode 100644 index 000000000..40277778f --- /dev/null +++ b/ak-py/src/agentkernel/schedule/store/valkey.py @@ -0,0 +1,20 @@ +"""Valkey-backed scheduled-task store.""" + +import logging + +from ...core.config import AKConfig +from ...core.util.driver.valkey import ValkeyDriver +from .redis_like import _RedisLikeScheduleStore + + +class ValkeyScheduleStore(_RedisLikeScheduleStore): + """Valkey-backed implementation of the ScheduleStore interface.""" + + def __init__(self): + self._log = logging.getLogger("ak.schedule.store.valkey") + schedule_config = AKConfig.get().schedule + cfg = schedule_config.store.valkey if schedule_config is not None else None + if cfg is None: + raise ValueError("AKConfig.schedule.store.valkey must be set to use ValkeyScheduleStore") + self._prefix = cfg.prefix + self._driver = ValkeyDriver(url=cfg.url, prefix=cfg.prefix, ttl=int(cfg.ttl)) diff --git a/ak-py/src/agentkernel/schedule/tools.py b/ak-py/src/agentkernel/schedule/tools.py index 20f834498..c7458e936 100644 --- a/ak-py/src/agentkernel/schedule/tools.py +++ b/ak-py/src/agentkernel/schedule/tools.py @@ -15,6 +15,7 @@ from typing import Any, Dict, Optional from ..core.base import Session +from ..core.config import AKConfig from ..core.model import ScheduleSpec, SystemTool from ..core.runtime import ACTING_USER_CACHE_KEY from .manager import ScheduleManager @@ -26,6 +27,40 @@ _NO_IDENTITY = json.dumps({"error": "scheduling requires a user identity: include user_id on the chat request"}) +# Placeholder the cron flavor's description is substituted into, in both the tool docstrings and +# the prompt guidance. Substituted textually rather than with str.format because those templates +# carry literal braces of their own (the JSON shapes in every Returns section). +_CRON_TOKEN = "{cron}" + +# The provider whose backend reads AWS's own cron flavor instead of the Unix one. EventBridge +# Scheduler interprets the expression itself, so what a caller must write changes with it. +_EVENTBRIDGE_PROVIDER = "eventbridge" + +# What a caller has to know to write a cron expression the configured backend will honor. One +# sentence per flavor, worded to read the same in a tool's parameter schema and in the prompt. +_CRON_STANDARD_DOC = "A standard 5-field cron expression, whose day-of-week field runs 0-6 with 0 = Sunday (so '0 9 * * 1' is every Monday at 09:00)." + +_CRON_EVENTBRIDGE_DOC = ( + "An AWS EventBridge Scheduler 5-field cron expression, whose day-of-week field runs 1-7 with 1 = Sunday " + "(so '0 9 * * 2' is every Monday at 09:00). Constrain either the day-of-month or the day-of-week field, never both." +) + + +def _cron_description() -> str: + """Describe the cron expression the configured provider will actually honor. + + Anchored on the ``eventbridge`` short name, the way the manager's topology guards anchor on + ``local``: it is the one built-in whose backend owns the interpretation. Everything else — + the local provider, and a bring-your-own provider that has its own agent instructions — is + described in the standard flavor. + + :return: The sentence substituted into every cron placeholder. + """ + schedule_config = AKConfig.get().schedule + if schedule_config is not None and schedule_config.provider.type.lower() == _EVENTBRIDGE_PROVIDER: + return _CRON_EVENTBRIDGE_DOC + return _CRON_STANDARD_DOC + def _acting_user() -> Optional[str]: """The user the current run acts for, published in the session's volatile cache by ``Runtime``. @@ -96,8 +131,7 @@ async def create_schedule( Args: prompt: The instruction to run at the scheduled time. It runs with no further input, so make it self-contained. - cron: Standard 5-field cron expression for a recurring schedule (e.g. "0 9 * * 1" for - every Monday at 09:00). Give either cron or at, never both. + cron: {cron} Give either cron or at, never both. at: Local wall-clock ISO-8601 timestamp for a one-time schedule (e.g. "2030-01-31T09:00:00"), without a UTC offset and in the future. timezone: IANA timezone the expression is evaluated in (e.g. "Asia/Colombo"). @@ -192,7 +226,7 @@ async def update_schedule( Args: task_id: Identifier of the schedule to change. prompt: The instruction each occurrence runs. - cron: Standard 5-field cron expression for a recurring schedule. Give either cron or at. + cron: {cron} Give either cron or at. at: Local wall-clock ISO-8601 timestamp for a one-time schedule, in the future. timezone: IANA timezone the expression is evaluated in. session_mode: "reuse" to run each occurrence in this conversation, "new" for a fresh @@ -241,7 +275,13 @@ async def delete_schedule(task_id: str) -> str: return _error_json(exc) -_GUIDANCE = ( +# The docstrings of the two timing tools, captured before anything renders them. Every render +# starts from these pristine templates rather than from an already-rendered __doc__, whose +# placeholder is gone — otherwise the first flavor to be described would be the only one. +_CREATE_SCHEDULE_DOC = create_schedule.__doc__ or "" +_UPDATE_SCHEDULE_DOC = update_schedule.__doc__ or "" + +_GUIDANCE_TEMPLATE = ( "[Scheduling]\n" "You can defer work: when the user asks for something to happen later or on a repeating " "rhythm, register it as a schedule instead of answering as if you had already done it. Each " @@ -255,10 +295,12 @@ async def delete_schedule(task_id: str) -> str: "- update_schedule(task_id, prompt, cron, at, timezone, session_mode, status): replace a " "schedule's full state (including status 'paused' to suspend it, 'active' to resume).\n" "- delete_schedule(task_id): cancel a schedule permanently.\n" - "Timing: give exactly one of cron (standard 5-field expression, e.g. '0 9 * * 1' for Mondays " - "at 09:00) or at (local wall-clock ISO-8601 timestamp in the future, e.g. " - "'2030-01-31T09:00:00', with no UTC offset). Both are evaluated in timezone, an IANA name — " - "ask the user for theirs rather than assuming UTC when the request implies a local time.\n" + "Timing: give exactly one of cron or at.\n" + "- cron: {cron}\n" + "- at: a local wall-clock ISO-8601 timestamp in the future, e.g. '2030-01-31T09:00:00', with " + "no UTC offset.\n" + "Both are evaluated in timezone, an IANA name — ask the user for theirs rather than assuming " + "UTC when the request implies a local time.\n" "session_mode 'reuse' (the default) runs each occurrence in this conversation, so the " "occurrence sees its history; 'new' runs each occurrence in a fresh session.\n" "update_schedule replaces every field rather than merging, so read the schedule first and " @@ -270,6 +312,31 @@ async def delete_schedule(task_id: str) -> str: ) +def _describe_cron_flavor(cron_doc: str) -> None: + """Point the two timing tools' LLM-facing schemas at the configured provider's cron flavor. + + Only ``SystemTool.func`` reaches a framework — the adapters read its ``__doc__`` when they wrap + it (``framework/langgraph/langgraph.py``, and the SDK-native decorators elsewhere) — so a + flavor-aware tool schema means a rendered docstring. The module-level functions are rewritten + in place rather than replaced by fresh per-call closures because both attachment paths + (``Agent._attach_system_tools`` and the adapters' own wrapping) deduplicate tools by function + identity, which new objects would defeat. Rewriting them is safe process-wide state: the + configured provider is one per process, so no two agents in one process can need different + flavors. + + :param cron_doc: The flavor's description, substituted into every cron placeholder. + """ + create_schedule.__doc__ = _CREATE_SCHEDULE_DOC.replace(_CRON_TOKEN, cron_doc) + update_schedule.__doc__ = _UPDATE_SCHEDULE_DOC.replace(_CRON_TOKEN, cron_doc) + + +# Rendered once at import, in the standard flavor, so nothing reading a docstring before the tools +# are built — help(), a doc generator, an app attaching one of these functions itself — ever sees +# the raw placeholder. Reads no config: the configured provider's flavor is only known once +# get_schedule_tools() runs, which re-renders both from the pristine templates. +_describe_cron_flavor(_CRON_STANDARD_DOC) + + def get_schedule_tools() -> list[SystemTool]: """Build the schedule system tools; called by ``SystemToolFactory`` when the block is present. @@ -280,10 +347,16 @@ def get_schedule_tools() -> list[SystemTool]: remaining tools carry empty descriptions; their LLM-facing schemas come from the function docstrings when the tools are bound. + Both surfaces are rendered here rather than fixed at import, because what a caller must write + for ``cron`` depends on the configured provider: the timers' owner is what interprets the + expression, and the local and EventBridge backends do not read it the same way. + :return: The schedule system tools. """ + cron_doc = _cron_description() + _describe_cron_flavor(cron_doc) return [ - SystemTool(name="create_schedule", description=_GUIDANCE, func=create_schedule), + SystemTool(name="create_schedule", description=_GUIDANCE_TEMPLATE.replace(_CRON_TOKEN, cron_doc), func=create_schedule), SystemTool(name="list_schedules", description="", func=list_schedules), SystemTool(name="get_schedule", description="", func=get_schedule), SystemTool(name="update_schedule", description="", func=update_schedule), diff --git a/ak-py/src/agentkernel/skills/ak-add-capabilities/SKILL.md b/ak-py/src/agentkernel/skills/ak-add-capabilities/SKILL.md index d2f538e2d..d6bea6c57 100644 --- a/ak-py/src/agentkernel/skills/ak-add-capabilities/SKILL.md +++ b/ak-py/src/agentkernel/skills/ak-add-capabilities/SKILL.md @@ -3,7 +3,8 @@ name: ak-add-capabilities description: > Add capabilities to an existing Agent Kernel project. This skill guides you through adding guardrails, tracing/observability, session persistence, knowledge bases, MCP server, - A2A server, pre/post hooks, multimodal support, conversation thread support, and the sandbox + A2A server, pre/post hooks, multimodal support, conversation thread support, scheduled tasks + (deferred and recurring chat execution), and the sandbox capability (isolated code execution). Session persistence supports Redis, DynamoDB (AWS), Cosmos DB (Azure), and Firestore (GCP). Conversation threads support in-memory, Redis, Valkey, DynamoDB (AWS), Firestore (GCP), @@ -41,6 +42,7 @@ Which capability would you like to add? 8. **Multimodal** — Image and file attachment support 9. **Conversation Threads** — Persistent, named conversation history keyed by `session_id` 10. **Sandbox** — Isolated code/command execution with pluggable providers, workload profiles, policy, and per-user identity +11. **Scheduled Tasks** — Deferred and recurring chat execution (a `schedule` block on a chat request, management routes, agent tools) ### Step 3: Generate Changes @@ -892,6 +894,170 @@ See `examples/api/thread-openai` and `examples/api/multimodal/thread-openai`. --- +#### Scheduled Tasks + +**What it does:** Lets a chat request run later, once or repeatedly. A request carrying a `schedule` +block is not executed — it is registered as a scheduled task and acknowledged with **HTTP 202**. When +an occurrence is due, the provider delivers the stored prompt into the input queue as a plain chat +request and the normal execution path runs it. Agent Kernel also mounts the management routes and +injects five agent tools (`create_schedule`, `list_schedules`, `get_schedule`, `update_schedule`, +`delete_schedule`) so the agent can defer work itself. + +**Ask:** Which provider — `local` (in-process thread, development) or `eventbridge` (AWS EventBridge +Scheduler, production)? And which task store — in-memory (default, dev), Redis, Valkey, or DynamoDB +(AWS)? + +**Important:** occurrences are delivered *into the input queue*, so scheduling requires the queue +execution pipeline. Locally the `in_memory` transport satisfies this inside one process; on AWS it +means deploying in queue mode. + +**Basic setup (local provider, in-memory store — development):** + +1. Update `pyproject.toml`: +```toml +dependencies = [ + "agentkernel[openai,api,cron]>=0.8.1", +] +``` +The `cron` extra brings `croniter`, needed for cron parsing. + +2. Update `config.yaml`. The presence of the `schedule` block is what enables the capability — there is + no handler to mount and nothing to change in `app.py`: +```yaml +schedule: + provider: + type: local # other supported providers: eventbridge + store: + type: in_memory # other supported backends: redis | valkey | dynamodb + # agents: [assistant] # restrict the schedule tools to named agents; omitted = all agents + +execution: + mode: rest_sync + queues: + type: in_memory # required: the provider fires occurrences into the input queue +``` + +3. `app.py` stays as it is — `RESTAPI.run()` picks up the block and mounts the management routes: +```python +from agentkernel.api import RESTAPI + +if __name__ == "__main__": + RESTAPI.run() +``` + +4. When enabled: + - A JSON chat request may carry a `schedule` block: exactly one of `at` (ISO-8601 local wall-clock + timestamp, must be in the future) or `cron` (standard 5-field expression), plus `timezone` + (IANA, default `UTC`) and `session_mode` (`reuse` the originating session, or `new` for a fresh + session per occurrence) + - `user_id` becomes **required** on any request that schedules: it is the owner the task is stored + under and the identity later reads and changes are checked against + - `GET /api/v1/schedules` (cursor-paginated) and `GET`/`PUT`/`DELETE /api/v1/schedules/{task_id}` + are mounted for listing, reading, amending and cancelling (open by default, or protected by a + pluggable `Authoriser`). There is deliberately no `POST` — creation is the chat block or the + agent tool + - `PUT` is full-replacement: send every value, including the ones that are not changing. `status` + covers the `active`/`paused` switch; a cancelled task keeps its record as the audit trail + - The five schedule tools and their guidance are injected into every agent's system prompt; each + acts as the invoking user, so an agent can never reach another user's schedules + - A scheduled request creates no conversation thread; the occurrences that later fire do + - Multipart chat routes cannot carry a `schedule` block — use the JSON route + +**Send a chat request with a schedule:** + +```bash +# One-time +curl -i -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send me the daily summary", "session_id": "ses-1", "user_id": "alice", + "schedule": {"at": "2030-01-31T09:00:00", "timezone": "Asia/Colombo"}}' + +# HTTP/1.1 202 Accepted +# {"result":"{\"status\": \"SCHEDULED\", \"scheduled_task_id\": \"74ca19a5-...\", \"session_id\": \"ses-1\"}","session_id":"ses-1"} + +# Recurring, each occurrence in a fresh session +curl -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "session_id": "ses-2", "user_id": "alice", + "schedule": {"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}}' + +# Manage +curl "http://localhost:8000/api/v1/schedules?user_id=alice" +curl -X DELETE http://localhost:8000/api/v1/schedules/{task_id} +``` + +**For production on AWS (EventBridge Scheduler + DynamoDB):** + +```toml +dependencies = [ + "agentkernel[openai,api,aws,cron]>=0.8.1", +] +``` +```yaml +schedule: + provider: + type: eventbridge + store: + type: dynamodb + dynamodb: + table_name: "ak-agent-schedules" # partition key task_id (S), no sort key + ttl: 0 # 0 disables expiry (the default) +``` + +`group_name`, `role_arn` and `queue_arn` under `schedule.provider.eventbridge` are supplied by the +Terraform modules as `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__*` environment variables — do not hardcode +them. See the `ak-cloud-deploy` skill. + +**For Redis or Valkey task storage:** + +```toml +dependencies = [ + "agentkernel[openai,api,redis,cron]>=0.8.1", # or valkey +] +``` +```yaml +schedule: + store: + type: redis # or valkey, with a `valkey:` block + redis: + url: "redis://localhost:6379" + prefix: "ak:schedule:" + ttl: 0 # unlike threads this defaults to 0 — an expired task would stop firing silently +``` + +**Topology rules (validated at startup, not at first use):** + +| Combination | Rejected because | +|---|---| +| `local` provider + a broker transport (`sqs`/`kafka`/`nats`) | The in-process timers are unreachable from the process serving the management routes — a cancellation would report success while the timer kept firing | +| `local` provider + a shared store | Same split: the timers and the records must live together | +| `in_memory` store + a broker transport | The records would be split across the runner and IO-handler processes | +| `eventbridge` provider + a non-`sqs` transport | Delivery is baked into the schedule registration as an SQS target | + +**Protecting the management routes with an Authoriser:** the schedule routes are mounted by the IO +handler, so pass the `Authoriser` there rather than to `RESTAPI.run()`: + +```python +from typing import Optional +from agentkernel.auth import Authoriser +from agentkernel.pipeline import IOHandler + +class DemoAuthoriser(Authoriser): + def authorise(self, token: str) -> Optional[str]: + # Validate the ****** against your own auth provider, return the user_id or None. + return {"alice-token": "alice", "bob-token": "bob"}.get(token) + +if __name__ == "__main__": + IOHandler.run(authoriser=DemoAuthoriser()) +``` + +With an Authoriser configured, listings are scoped to the resolved `user_id` and reading or changing +another user's schedule is rejected (403). Without one, the routes are open. + +See `examples/api/schedule-openai`. + +--- + #### Sandbox **What it does:** Lets agents execute code and shell commands in an isolated, permission-bounded diff --git a/ak-py/src/agentkernel/skills/ak-cloud-deploy/SKILL.md b/ak-py/src/agentkernel/skills/ak-cloud-deploy/SKILL.md index ab6091d6e..7b81accab 100644 --- a/ak-py/src/agentkernel/skills/ak-cloud-deploy/SKILL.md +++ b/ak-py/src/agentkernel/skills/ak-cloud-deploy/SKILL.md @@ -4,7 +4,8 @@ description: > Deploy an Agent Kernel project to AWS, Azure, or GCP using Terraform modules. Supports serverless and containerized modes for all three clouds. AWS supports execution modes (rest_sync, rest_async, async, stream), queue-based scalable processing, - and custom API Gateway authorizers. GCP supports Cloud Run serverless (scale-to-zero) + custom API Gateway authorizers, and EventBridge Scheduler for scheduled tasks. + GCP supports Cloud Run serverless (scale-to-zero) and containerized (always-on) with Redis or Firestore session backends. license: Apache-2.0 metadata: @@ -221,6 +222,56 @@ Setting the Terraform flag *without* declaring `thread.type` in `config.yaml` si threads on the non-durable in-memory backend (any `AK_THREAD__*` var materialises `AKConfig.thread`, but `type` still defaults to `in_memory`) — always pair the flag with the matching `thread.type`. +### Deploying Scheduled Tasks + +Scheduled tasks (`ak-add-capabilities`) deploy on the same two-step split: the app declares +`schedule.provider.type` and `schedule.store.type` in `config.yaml`, and Terraform provisions the +backends, injecting only the coordinates. Terraform never sets `AK_SCHEDULE__PROVIDER__TYPE` or +`AK_SCHEDULE__STORE__TYPE`. + +**Scheduling requires queue mode** — occurrences are delivered into the input queue, so +`queue_mode = true` is mandatory on AWS. `enable_scheduling` without it is rejected. + +- **AWS (serverless + containerized)**: `enable_scheduling = true` provisions an EventBridge Scheduler + schedule group and the execution role Scheduler assumes to deliver triggers to the input queue, + grants both the request/REST role and the agent-runner role `scheduler:CreateSchedule|UpdateSchedule|DeleteSchedule|GetSchedule` + plus `iam:PassRole` on that role, and injects + `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME`, `__ROLE_ARN` and `__QUEUE_ARN`. It also flips the + input queue to content-based deduplication, because Scheduler cannot set a + `MessageDeduplicationId` (application senders are unaffected — their explicit id takes precedence). +- **AWS (serverless + containerized)**: `create_dynamodb_schedule_table = true` provisions a DynamoDB + table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) and injects + `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME`. +- **Redis / Valkey task store**: no dedicated Terraform flag — reuse whatever `create_redis_cluster` / + `create_valkey_cluster` already provisions and declare `schedule: {store: {type: redis}}` (or + `valkey`) with the cluster URL in `config.yaml`. +- **Azure / GCP**: no scheduling provider ships for these clouds yet. The `local` provider only works + in a single always-on process with the `in_memory` transport and store, which no cloud deployment + mode gives you. + +```hcl +queue_mode = true +enable_scheduling = true +create_dynamodb_schedule_table = true +``` + +```yaml +schedule: + provider: + type: eventbridge + store: + type: dynamodb +``` + +Setting the Terraform flags *without* declaring both types in `config.yaml` silently leaves scheduling +on the in-process `local` provider and `in_memory` store (any `AK_SCHEDULE__*` var materialises +`AKConfig.schedule`, but the types still default), while the provisioned group and table sit unused — +always pair the flags with the matching types. The reverse is safe: declaring the types without the +flags fails at startup with an `AKConfigError` on the missing `group_name` / `role_arn` / `queue_arn`. + +New outputs on both AWS stacks (null unless the matching flag is set): `schedule_group_name`, +`schedule_group_arn`, `scheduler_execution_role_arn`, `schedule_table_name`, `schedule_table_arn`. + ## AWS Serverless (Lambda + API Gateway) ### Agent Code Pattern @@ -314,6 +365,10 @@ module "serverless_agents" { create_dynamodb_memory_table = true create_dynamodb_response_store = true + # Uncomment with `schedule: {provider: {type: eventbridge}, store: {type: dynamodb}}` in config.yaml + # enable_scheduling = true + # create_dynamodb_schedule_table = true + request_handler = { module_name = "rqst-hdlr" function_name = "request-handler" @@ -752,6 +807,7 @@ if __name__ == "__main__": ```yaml execution: queues: + type: sqs # mandatory in a declared queues block: it is what selects the transport input: no_of_consumers: 5 # parallel input-poll threads in the Agent Runner container (default 5) output: @@ -790,6 +846,10 @@ module "containerized_agents" { queue_mode = true execution_mode = "rest_sync" # or "rest_async" + # Uncomment with `schedule: {provider: {type: eventbridge}, store: {type: dynamodb}}` in config.yaml + # enable_scheduling = true + # create_dynamodb_schedule_table = true + queue_config = { input_queue_visibility_timeout = 120 output_queue_visibility_timeout = 60 diff --git a/ak-py/tests/test_chat_service_schedule.py b/ak-py/tests/test_chat_service_schedule.py index f478eb565..6e9da929d 100644 --- a/ak-py/tests/test_chat_service_schedule.py +++ b/ak-py/tests/test_chat_service_schedule.py @@ -186,9 +186,16 @@ def _trigger_request(self, **overrides) -> BaseRunRequest: async def test_occurrence_is_recorded_and_the_request_runs(self, manager, handler): result, _ = await ChatService().execute(self._trigger_request()) - manager.record_trigger.assert_called_once_with("t1", request_id="r1", occurred_at="2030-06-01T09:00:00Z") + manager.record_trigger.assert_called_once_with("t1", "u1", request_id="r1", occurred_at="2030-06-01T09:00:00Z") assert str(result) == "agent ran" + @pytest.mark.asyncio + async def test_the_acting_user_is_forwarded_so_the_manager_can_reject_a_foreign_task(self, manager, handler): + """The trigger metadata rides on a client-bindable request, so ownership is the manager's call.""" + await ChatService().execute(self._trigger_request(user_id="someone-else")) + + manager.record_trigger.assert_called_once_with("t1", "someone-else", request_id="r1", occurred_at="2030-06-01T09:00:00Z") + def test_occurrence_is_recorded_on_the_sync_path(self, manager, handler): ChatService().execute_sync(self._trigger_request()) diff --git a/ak-py/tests/test_config.py b/ak-py/tests/test_config.py index 06e15422d..ac5fc8107 100644 --- a/ak-py/tests/test_config.py +++ b/ak-py/tests/test_config.py @@ -2,8 +2,9 @@ import sys import pytest +from pydantic import ValidationError -from agentkernel.core.config import AKConfig, _ScheduleConfig, _ThreadStoreConfig, _ThreadValkeyConfig +from agentkernel.core.config import DEFAULT_QUEUE_TRANSPORT_TYPE, AKConfig, _ScheduleConfig, _ThreadStoreConfig, _ThreadValkeyConfig @pytest.fixture(autouse=True) @@ -168,9 +169,14 @@ def test_batch_size_default(): assert cfg.execution.queues.batch_size is None -def test_batch_size_env_override(monkeypatch): +def test_batch_size_env_override(tmp_path, monkeypatch): + """A deployment tunes the declared block through env vars; the type stays the config's.""" + cfg_path = tmp_path / "config.yaml" + cfg_path.write_text("execution:\n" " queues:\n" " type: sqs\n") + monkeypatch.setenv("AK_CONFIG_PATH_OVERRIDE", str(cfg_path)) monkeypatch.setenv("AK_EXECUTION__QUEUES__BATCH_SIZE", "5") cfg = AKConfig() + assert cfg.execution.queues.type == "sqs" assert cfg.execution.queues.batch_size == 5 @@ -320,12 +326,25 @@ def test_import_does_not_load_config(tmp_path): def test_queues_transport_defaults(monkeypatch): + """No queues block at all still runs: the single-process transport is the default topology.""" monkeypatch.setenv("AK_CONFIG_PATH_OVERRIDE", "/nonexistent/config.yaml") cfg = AKConfig.get() - assert cfg.execution.queues.type is None + assert cfg.execution.queues.type == DEFAULT_QUEUE_TRANSPORT_TYPE assert cfg.execution.queues.in_memory is None +def test_declared_queues_block_requires_a_transport_type(tmp_path, monkeypatch): + """The transport is declared, never inferred: a block without a type is a config error.""" + yaml_text = "execution:\n" " queues:\n" " input:\n" " url: https://sqs.test/input\n" + cfg_path = tmp_path / "config.yaml" + cfg_path.write_text(yaml_text) + monkeypatch.setenv("AK_CONFIG_PATH_OVERRIDE", str(cfg_path)) + + AKConfig._reset() + with pytest.raises(ValidationError, match="execution.queues.type"): + AKConfig.get() + + def test_queues_transport_yaml_and_env(tmp_path, monkeypatch): yaml_text = "execution:\n" " queues:\n" " type: in_memory\n" " in_memory:\n" " ack_wait: 1.5\n" " dedup_window: 60\n" cfg_path = tmp_path / "config.yaml" diff --git a/ak-py/tests/test_pipeline_consumer_loop.py b/ak-py/tests/test_pipeline_consumer_loop.py index c571b5244..a735e3e3e 100644 --- a/ak-py/tests/test_pipeline_consumer_loop.py +++ b/ak-py/tests/test_pipeline_consumer_loop.py @@ -197,30 +197,55 @@ def test_native_is_excluded_from_serialization(self): class TestTransportFactory: - class _FakeCfgNoTypeNoUrl: + class _FakeCfgInMemory: class execution: class queues: + type = "in_memory" + class input: url = None - class _FakeCfgNoTypeWithUrl: + class _FakeCfgInMemoryWithUrl: + """A declared in_memory transport whose queue coordinates are still injected.""" + class execution: class queues: + type = "in_memory" + class input: url = "https://sqs.test/input" - def test_resolve_type_defaults_to_in_memory(self, monkeypatch): - monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgNoTypeNoUrl)) - assert QueueTransportFactory.resolve_type() == "in_memory" + class _FakeCfgSqsWithoutUrl: + """The agent-runner Lambda's shape: sqs declared, input URL never injected into it.""" + + class execution: + class queues: + type = "sqs" + + class input: + url = None + + class _FakeCfgNoQueuesBlock: + class execution: + queues = None - def test_resolve_type_url_implies_sqs(self, monkeypatch): - monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgNoTypeWithUrl)) + def test_resolve_type_follows_the_declared_type(self, monkeypatch): + monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgSqsWithoutUrl)) assert QueueTransportFactory.resolve_type() == "sqs" + def test_resolve_type_ignores_the_queue_urls(self, monkeypatch): + """Queue coordinates are injected per component, so they must not decide the transport.""" + monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgInMemoryWithUrl)) + assert QueueTransportFactory.resolve_type() == "in_memory" + + def test_resolve_type_defaults_to_in_memory_without_a_queues_block(self, monkeypatch): + monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgNoQueuesBlock)) + assert QueueTransportFactory.resolve_type() == "in_memory" + def test_default_type_creates_in_memory_transport(self, monkeypatch): from agentkernel.pipeline.transport.in_memory import InMemoryTransport - monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgNoTypeNoUrl)) + monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._FakeCfgInMemory)) assert isinstance(QueueTransportFactory.create(), InMemoryTransport) def test_builtin_without_an_implementation_raises(self, monkeypatch): diff --git a/ak-py/tests/test_pipeline_sqs_transport.py b/ak-py/tests/test_pipeline_sqs_transport.py index e535a0e1a..6602ae93c 100644 --- a/ak-py/tests/test_pipeline_sqs_transport.py +++ b/ak-py/tests/test_pipeline_sqs_transport.py @@ -192,10 +192,10 @@ def test_type_sqs_creates_transport_with_config_urls(self, monkeypatch): assert isinstance(transport, SQSTransport) assert transport._queue_urls == {QueueName.INPUT: INPUT_URL, QueueName.OUTPUT: OUTPUT_URL} - def test_input_url_alone_implies_sqs_transport(self, monkeypatch): - """Pre-#495 compatibility: untyped config with queue URLs resolves and builds sqs.""" - monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._cfg(transport_type=None))) - assert isinstance(QueueTransportFactory.create(), SQSTransport) + def test_queue_urls_alone_do_not_imply_sqs(self, monkeypatch): + """Only the declared type selects the transport, however the URLs are configured.""" + monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._cfg(transport_type="in_memory"))) + assert not isinstance(QueueTransportFactory.create(), SQSTransport) def test_missing_output_url_raises(self, monkeypatch): monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: self._cfg(output_url=None))) diff --git a/ak-py/tests/test_schedule_manager.py b/ak-py/tests/test_schedule_manager.py index d720c420d..e4a12756e 100644 --- a/ak-py/tests/test_schedule_manager.py +++ b/ak-py/tests/test_schedule_manager.py @@ -5,7 +5,7 @@ """ import json -from typing import ClassVar, Optional +from typing import Optional import pytest @@ -19,6 +19,7 @@ from agentkernel.schedule.manager import ScheduleManager from agentkernel.schedule.model import TOKEN_OCCURRENCE_TIME, TOKEN_REQUEST_ID, ScheduleStatus from agentkernel.schedule.provider.base import ScheduleProvider +from agentkernel.schedule.provider.eventbridge import EventBridgeScheduleProvider from agentkernel.schedule.provider.local import LocalScheduleProvider from agentkernel.schedule.store.in_memory import InMemoryScheduleStore @@ -55,10 +56,12 @@ def _maybe_fail(self, operation: str) -> None: raise ScheduleError(f"provider {operation} rejected") -class SqsOnlyScheduleProvider(FakeScheduleProvider): - """A provider that can only deliver to SQS, like the EventBridge one.""" +def _sqs_only_provider() -> EventBridgeScheduleProvider: + """The shipped SQS-only provider, so the compatibility checks pin the real class attribute. - supported_transports: ClassVar[Optional[frozenset[str]]] = frozenset({"sqs"}) + Its client is created on first use, so constructing one never reaches AWS. + """ + return EventBridgeScheduleProvider(group_name="ak-schedules", role_arn="arn:aws:iam::1:role/r", queue_arn="arn:aws:sqs:us-east-1:1:q.fifo") class DummyRunner(Runner): @@ -168,13 +171,23 @@ def test_incompatible_provider_and_transport_fail_fast(self, store, monkeypatch) monkeypatch.setattr(QueueTransportFactory, "resolve_type", staticmethod(lambda: "in_memory")) with pytest.raises(AKConfigError, match="delivers to \\['sqs'\\] transports, but the configured queue transport is 'in_memory'"): - ScheduleManager(provider=SqsOnlyScheduleProvider(), store=store) + ScheduleManager(provider=_sqs_only_provider(), store=store) + + def test_incompatible_pairing_without_a_schedule_block_still_reports_a_config_error(self, store, monkeypatch): + """A manager built with its own backends gets the same diagnosis, named by the provider class.""" + AKConfig._reset() + base = AKConfig.get() + monkeypatch.setattr(AKConfig, "get", classmethod(lambda cls: base.model_copy(update={"schedule": None}))) + monkeypatch.setattr(QueueTransportFactory, "resolve_type", staticmethod(lambda: "in_memory")) + + with pytest.raises(AKConfigError, match="schedule provider 'EventBridgeScheduleProvider' delivers to \\['sqs'\\] transports"): + ScheduleManager(provider=_sqs_only_provider(), store=store) def test_compatible_provider_and_transport_are_accepted(self, store, monkeypatch): - _configure_schedule(monkeypatch, provider={"type": "eventbridge"}) + _configure_schedule(monkeypatch, provider={"type": "eventbridge"}, store={"type": "dynamodb"}) monkeypatch.setattr(QueueTransportFactory, "resolve_type", staticmethod(lambda: "sqs")) - assert ScheduleManager(provider=SqsOnlyScheduleProvider(), store=store) is not None + assert ScheduleManager(provider=_sqs_only_provider(), store=store) is not None def test_local_provider_is_accepted_on_the_single_process_pairing(self, store, monkeypatch): _configure_schedule(monkeypatch, provider={"type": "local"}, store={"type": "in_memory"}) @@ -200,10 +213,18 @@ def test_local_provider_and_shared_store_fail_fast(self, store, monkeypatch): def test_the_single_process_constraint_applies_only_to_the_local_provider(self, store, monkeypatch): """A provider that owns its timers elsewhere is unaffected by this check.""" + _configure_schedule(monkeypatch, provider={"type": "eventbridge"}, store={"type": "dynamodb"}) + monkeypatch.setattr(QueueTransportFactory, "resolve_type", staticmethod(lambda: "sqs")) + + assert ScheduleManager(provider=_sqs_only_provider(), store=store) is not None + + def test_in_memory_store_and_broker_transport_fail_fast(self, store, monkeypatch): + """A durable provider fires from whichever process created a task; in-memory records do not travel.""" _configure_schedule(monkeypatch, provider={"type": "eventbridge"}, store={"type": "in_memory"}) monkeypatch.setattr(QueueTransportFactory, "resolve_type", staticmethod(lambda: "sqs")) - assert ScheduleManager(provider=SqsOnlyScheduleProvider(), store=store) is not None + with pytest.raises(AKConfigError, match="store 'in_memory' is single-process only.*transport is 'sqs'"): + ScheduleManager(provider=_sqs_only_provider(), store=store) class TestCreation: @@ -464,6 +485,16 @@ def test_cancelling_an_unknown_task_reports_it_as_missing(self, manager): with pytest.raises(KeyError, match="not found"): manager.cancel("missing") + def test_provider_failure_restores_the_active_record(self, store): + """A cancellation the provider rejected must not leave a record claiming it succeeded.""" + manager = ScheduleManager(provider=FakeScheduleProvider(fail_on="delete"), store=store) + task = _create(manager) + + with pytest.raises(ScheduleError, match="provider delete rejected"): + manager.cancel(task.task_id) + + assert store.get(task.task_id).status is ScheduleStatus.ACTIVE + def test_cancelling_twice_is_rejected(self, manager): task = _create(manager) manager.cancel(task.task_id) @@ -476,7 +507,7 @@ class TestTriggerRecording: def test_recording_advances_the_occurrence_fields(self, manager, store): task = _create(manager) - manager.record_trigger(task.task_id, request_id="r1", occurred_at="2030-06-01T09:00:00Z") + manager.record_trigger(task.task_id, "u1", request_id="r1", occurred_at="2030-06-01T09:00:00Z") recorded = store.get(task.task_id) assert recorded.trigger_count == 1 @@ -487,23 +518,41 @@ def test_recording_advances_the_occurrence_fields(self, manager, store): def test_recording_stamps_the_current_time_when_the_provider_reports_none(self, manager, store): task = _create(manager) - manager.record_trigger(task.task_id) + manager.record_trigger(task.task_id, "u1") assert store.get(task.task_id).last_triggered_at is not None def test_recording_completes_a_one_time_task(self, manager, store): task = _create(manager, spec=ScheduleSpec(at=FUTURE_AT)) - manager.record_trigger(task.task_id, request_id="r1") + manager.record_trigger(task.task_id, "u1", request_id="r1") assert store.get(task.task_id).status is ScheduleStatus.COMPLETED + def test_recording_against_a_task_another_user_owns_is_ignored(self, manager, store): + """A forged trigger must not complete someone else's one-time task out from under them.""" + task = _create(manager, user_id="u1", spec=ScheduleSpec(at=FUTURE_AT)) + + manager.record_trigger(task.task_id, "u2", request_id="r1") + + recorded = store.get(task.task_id) + assert recorded.trigger_count == 0 + assert recorded.status is ScheduleStatus.ACTIVE + + def test_recording_without_an_identity_is_ignored(self, manager, store): + """An absent user_id is a mismatch, not an unauthenticated caller to wave through.""" + task = _create(manager, user_id="u1") + + manager.record_trigger(task.task_id, None, request_id="r1") + + assert store.get(task.task_id).trigger_count == 0 + def test_recording_an_unknown_task_is_ignored(self, manager): - manager.record_trigger("missing", request_id="r1") + manager.record_trigger("missing", "u1", request_id="r1") def test_recording_never_raises_into_the_run(self, provider, store, monkeypatch): manager = ScheduleManager(provider=provider, store=store) task = _create(manager) monkeypatch.setattr(store, "record_trigger", lambda *args, **kwargs: (_ for _ in ()).throw(RuntimeError("store down"))) - manager.record_trigger(task.task_id, request_id="r1") + manager.record_trigger(task.task_id, "u1", request_id="r1") diff --git a/ak-py/tests/test_schedule_model.py b/ak-py/tests/test_schedule_model.py index e972b38a1..113ca15dc 100644 --- a/ak-py/tests/test_schedule_model.py +++ b/ak-py/tests/test_schedule_model.py @@ -14,6 +14,21 @@ from agentkernel.schedule.model import ScheduledTask, ScheduledTaskPage, ScheduleStatus +def _task(**overrides) -> ScheduledTask: + """A stored record with every required field, overridable per case.""" + fields = { + "task_id": "t1", + "user_id": "u1", + "prompt": "send the weekly report", + "session_id": "s1", + "spec": ScheduleSpec(cron="0 9 * * 1"), + "created_at": "2030-01-01T00:00:00+00:00", + "updated_at": "2030-01-01T00:00:00+00:00", + } + fields.update(overrides) + return ScheduledTask(**fields) + + class TestScheduleSpec: def test_one_time_spec_defaults_to_utc_and_session_reuse(self): spec = ScheduleSpec(at="2030-01-01T09:00:00") @@ -87,22 +102,8 @@ def test_invalid_schedule_block_fails_the_request(self): class TestScheduledTask: - @staticmethod - def _task(**overrides) -> ScheduledTask: - fields = { - "task_id": "t1", - "user_id": "u1", - "prompt": "send the weekly report", - "session_id": "s1", - "spec": ScheduleSpec(cron="0 9 * * 1"), - "created_at": "2030-01-01T00:00:00+00:00", - "updated_at": "2030-01-01T00:00:00+00:00", - } - fields.update(overrides) - return ScheduledTask(**fields) - def test_new_task_starts_active_with_no_occurrences(self): - task = self._task() + task = _task() assert task.status is ScheduleStatus.ACTIVE assert task.trigger_count == 0 assert task.last_triggered_at is None @@ -110,17 +111,66 @@ def test_new_task_starts_active_with_no_occurrences(self): assert task.provider_ref is None def test_json_round_trip_preserves_every_field(self): - task = self._task(agent="planner", provider_ref="arn:aws:scheduler:::schedule/g/ak-t1", trigger_count=3) + task = _task(agent="planner", provider_ref="arn:aws:scheduler:::schedule/g/ak-t1", trigger_count=3) restored = ScheduledTask.model_validate(json.loads(json.dumps(task.model_dump(mode="json")))) assert restored == task def test_dumped_record_carries_only_json_primitives(self): # Store portability: every backend persists the dumped document as-is. - dumped = self._task().model_dump(mode="json") + dumped = _task().model_dump(mode="json") assert isinstance(dumped["created_at"], str) assert dumped["status"] == "active" assert dumped["spec"] == {"at": None, "cron": "0 9 * * 1", "timezone": "UTC", "session_mode": "reuse"} def test_page_defaults_to_no_next_cursor(self): - page = ScheduledTaskPage(tasks=[self._task()]) + page = ScheduledTaskPage(tasks=[_task()]) assert page.next_cursor is None + + +class TestApplyTrigger: + """The occurrence bookkeeping every store shares: each one loads a record, applies this, writes + it back, so the rule is pinned once here rather than three times over.""" + + def test_an_occurrence_advances_the_bookkeeping(self): + task = _task() + + task.apply_trigger(request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + assert task.last_triggered_at == "2030-02-01T09:00:00+00:00" + assert task.last_request_id == "r-1" + assert task.trigger_count == 1 + assert task.updated_at != "2030-01-01T00:00:00+00:00" + # A recurring task has further occurrences, so it stays active. + assert task.status is ScheduleStatus.ACTIVE + + def test_occurrences_accumulate(self): + task = _task(trigger_count=2) + + task.apply_trigger(request_id=None, occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + assert task.trigger_count == 3 + # An occurrence whose run id never arrived clears the previous one rather than keeping a + # stale correlation. + assert task.last_request_id is None + + def test_a_final_occurrence_completes_the_task(self): + task = _task(spec=ScheduleSpec(at="2030-06-01T09:00:00")) + + task.apply_trigger(request_id="r-1", occurred_at="2030-06-01T09:00:00+00:00", completed=True) + + assert task.status is ScheduleStatus.COMPLETED + + def test_a_cancellation_outranks_a_completion(self): + """A task cancelled between the fire and the record must not come back as completed.""" + task = _task(status=ScheduleStatus.CANCELLED) + + task.apply_trigger(request_id="r-1", occurred_at="2030-06-01T09:00:00+00:00", completed=True) + + assert task.status is ScheduleStatus.CANCELLED + # The occurrence still happened, so it is still recorded. + assert task.trigger_count == 1 + + def test_it_returns_the_task_so_a_store_can_write_it_back_inline(self): + task = _task() + + assert task.apply_trigger(request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) is task diff --git a/ak-py/tests/test_schedule_provider_eventbridge.py b/ak-py/tests/test_schedule_provider_eventbridge.py new file mode 100644 index 000000000..9261fb799 --- /dev/null +++ b/ak-py/tests/test_schedule_provider_eventbridge.py @@ -0,0 +1,303 @@ +"""EventBridgeScheduleProvider: expression translation, registration payloads and error mapping. + +The provider's whole job is to turn a task into one Scheduler API call, so the assertions are about +the exact kwargs AWS receives. boto3 is mocked at the module's own ``boto3.client`` attribute, the +idiom the SQS transport suite uses. +""" + +import json + +import pytest +from botocore.exceptions import ClientError + +from agentkernel.core.config import AKConfig, _ScheduleConfig +from agentkernel.core.model import ScheduleSpec +from agentkernel.core.util.factory import AKConfigError +from agentkernel.schedule.errors import ScheduleError +from agentkernel.schedule.model import TOKEN_OCCURRENCE_TIME, TOKEN_REQUEST_ID, ScheduledTask, ScheduleStatus +from agentkernel.schedule.provider.base import _BUILTIN_SCHEDULE_PROVIDERS, ScheduleProviderFactory +from agentkernel.schedule.provider.eventbridge import ( + CONTEXT_EXECUTION_ID, + CONTEXT_SCHEDULED_TIME, + EventBridgeScheduleProvider, +) + +GROUP_NAME = "ak-dev-schedules" +ROLE_ARN = "arn:aws:iam::123456789012:role/ak-dev-scheduler" +QUEUE_ARN = "arn:aws:sqs:us-east-1:123456789012:ak-dev-input.fifo" +SCHEDULE_ARN = f"arn:aws:scheduler:us-east-1:123456789012:schedule/{GROUP_NAME}/ak-t1" + +BODY_TEMPLATE = json.dumps( + { + "prompt": "send the weekly report", + "agent": "planner", + "user_id": "u1", + "session_id": "s1", + "scheduled_task_id": "t1", + "request_id": TOKEN_REQUEST_ID, + "scheduled_time": TOKEN_OCCURRENCE_TIME, + } +) + + +def _task(task_id: str = "t1", spec: ScheduleSpec = None, **overrides) -> ScheduledTask: + fields = { + "task_id": task_id, + "user_id": "u1", + "prompt": "send the weekly report", + "agent": "planner", + "session_id": "s1", + "spec": spec or ScheduleSpec(cron="0 9 * * *"), + "created_at": "2030-01-01T00:00:00+00:00", + "updated_at": "2030-01-01T00:00:00+00:00", + } + fields.update(overrides) + return ScheduledTask(**fields) + + +def _not_found(operation: str) -> ClientError: + return ClientError({"Error": {"Code": "ResourceNotFoundException", "Message": "schedule not found"}}, operation) + + +class FakeSchedulerClient: + """Records every Scheduler call and replays a configured response or failure.""" + + def __init__(self): + self.calls: list[tuple[str, dict]] = [] + self.failures: dict[str, Exception] = {} + + def create_schedule(self, **kwargs): + return self._record("create_schedule", kwargs, {"ScheduleArn": SCHEDULE_ARN}) + + def update_schedule(self, **kwargs): + return self._record("update_schedule", kwargs, {"ScheduleArn": SCHEDULE_ARN}) + + def delete_schedule(self, **kwargs): + return self._record("delete_schedule", kwargs, {}) + + def get_schedule(self, **kwargs): + return self._record("get_schedule", kwargs, {"Name": "ak-t1", "State": "ENABLED"}) + + def _record(self, operation: str, kwargs: dict, response: dict): + self.calls.append((operation, kwargs)) + failure = self.failures.get(operation) + if failure is not None: + raise failure + return response + + def kwargs_of(self, operation: str) -> dict: + return next(call_kwargs for name, call_kwargs in self.calls if name == operation) + + +@pytest.fixture +def client(monkeypatch) -> FakeSchedulerClient: + fake = FakeSchedulerClient() + monkeypatch.setattr("agentkernel.schedule.provider.eventbridge.boto3.client", lambda service, **kwargs: fake) + return fake + + +@pytest.fixture +def provider() -> EventBridgeScheduleProvider: + return EventBridgeScheduleProvider(group_name=GROUP_NAME, role_arn=ROLE_ARN, queue_arn=QUEUE_ARN) + + +class TestRegistration: + def test_create_returns_the_schedule_arn_as_the_provider_reference(self, provider, client): + assert provider.create(_task(), BODY_TEMPLATE) == SCHEDULE_ARN + + def test_create_sends_the_full_registration(self, provider, client): + provider.create(_task(), BODY_TEMPLATE) + + kwargs = client.kwargs_of("create_schedule") + assert kwargs["Name"] == "ak-t1" + assert kwargs["GroupName"] == GROUP_NAME + assert kwargs["ScheduleExpressionTimezone"] == "UTC" + assert kwargs["FlexibleTimeWindow"] == {"Mode": "OFF"} + assert kwargs["Target"]["Arn"] == QUEUE_ARN + assert kwargs["Target"]["RoleArn"] == ROLE_ARN + + def test_the_target_input_points_at_the_occurrence_context_attributes(self, provider, client): + provider.create(_task(), BODY_TEMPLATE) + + body = json.loads(client.kwargs_of("create_schedule")["Target"]["Input"]) + assert body["request_id"] == CONTEXT_EXECUTION_ID + # The occurrence time keeps each body unique: an SQS FIFO target deduplicates on content. + assert body["scheduled_time"] == CONTEXT_SCHEDULED_TIME + assert "schedule" not in body + + def test_a_reused_session_groups_by_that_session(self, provider, client): + provider.create(_task(), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["Target"]["SqsParameters"] == {"MessageGroupId": "s1"} + + def test_a_per_occurrence_session_groups_by_the_task(self, provider, client): + provider.create(_task(spec=ScheduleSpec(cron="0 9 * * *", session_mode="new")), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["Target"]["SqsParameters"] == {"MessageGroupId": "t1"} + + def test_a_recurring_schedule_survives_its_occurrences(self, provider, client): + provider.create(_task(), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["ActionAfterCompletion"] == "NONE" + + def test_a_one_time_schedule_deletes_itself_after_firing(self, provider, client): + provider.create(_task(spec=ScheduleSpec(at="2030-06-01T09:00:00")), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["ActionAfterCompletion"] == "DELETE" + + def test_an_active_task_is_registered_enabled(self, provider, client): + provider.create(_task(), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["State"] == "ENABLED" + + def test_a_paused_task_is_registered_disabled(self, provider, client): + provider.create(_task(status=ScheduleStatus.PAUSED), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["State"] == "DISABLED" + + def test_the_spec_timezone_is_the_expression_timezone(self, provider, client): + provider.create(_task(spec=ScheduleSpec(cron="0 9 * * *", timezone="Asia/Colombo")), BODY_TEMPLATE) + + assert client.kwargs_of("create_schedule")["ScheduleExpressionTimezone"] == "Asia/Colombo" + + +class TestScheduleExpressions: + @staticmethod + def _expression(provider, client, spec: ScheduleSpec) -> str: + provider.create(_task(spec=spec), BODY_TEMPLATE) + return client.kwargs_of("create_schedule")["ScheduleExpression"] + + def test_a_one_time_timestamp_becomes_an_at_expression(self, provider, client): + assert self._expression(provider, client, ScheduleSpec(at="2030-06-01T09:00:00")) == "at(2030-06-01T09:00:00)" + + def test_a_timestamp_without_seconds_is_normalized(self, provider, client): + assert self._expression(provider, client, ScheduleSpec(at="2030-06-01T09:00")) == "at(2030-06-01T09:00:00)" + + def test_an_unconstrained_cron_wildcards_the_day_of_week(self, provider, client): + # AWS reads "any day" as '?', and requires exactly one of the two day fields to be it. + assert self._expression(provider, client, ScheduleSpec(cron="0 9 * * *")) == "cron(0 9 * * ? *)" + + def test_a_day_of_month_cron_wildcards_the_day_of_week(self, provider, client): + assert self._expression(provider, client, ScheduleSpec(cron="30 6 1 * *")) == "cron(30 6 1 * ? *)" + + def test_a_day_of_week_cron_wildcards_the_day_of_month(self, provider, client): + assert self._expression(provider, client, ScheduleSpec(cron="0 9 * * 1")) == "cron(0 9 ? * 1 *)" + + def test_constraining_both_day_fields_is_rejected(self, provider, client): + with pytest.raises(ValueError, match="cannot constrain both the day-of-month and the day-of-week"): + self._expression(provider, client, ScheduleSpec(cron="0 9 1 * 1")) + + def test_a_malformed_cron_is_rejected(self, provider, client): + with pytest.raises(ValueError, match="must be a standard 5-field expression"): + self._expression(provider, client, ScheduleSpec(cron="0 9 *")) + + +class TestAmendmentAndRemoval: + def test_update_re_sends_the_whole_registration(self, provider, client): + task = _task(provider_ref=SCHEDULE_ARN, prompt="amended") + + provider.update(task, BODY_TEMPLATE) + + kwargs = client.kwargs_of("update_schedule") + assert kwargs["Name"] == "ak-t1" + assert kwargs["GroupName"] == GROUP_NAME + # Scheduler has no partial update, so the target has to travel with every amendment. + assert kwargs["Target"]["Arn"] == QUEUE_ARN + assert kwargs["State"] == "ENABLED" + + def test_update_addresses_the_group_the_schedule_was_registered_in(self, provider, client): + stale_group_ref = "arn:aws:scheduler:us-east-1:123456789012:schedule/ak-old-schedules/ak-t1" + + provider.update(_task(provider_ref=stale_group_ref), BODY_TEMPLATE) + + assert client.kwargs_of("update_schedule")["GroupName"] == "ak-old-schedules" + + def test_delete_deregisters_the_schedule(self, provider, client): + provider.delete(SCHEDULE_ARN) + + assert client.kwargs_of("delete_schedule") == {"Name": "ak-t1", "GroupName": GROUP_NAME} + + def test_delete_tolerates_an_already_deleted_schedule(self, provider, client): + # A fired one-time schedule removes itself, so a later cancellation must still succeed. + client.failures["delete_schedule"] = _not_found("DeleteSchedule") + + assert provider.delete(SCHEDULE_ARN) is None + + def test_get_returns_the_native_description(self, provider, client): + assert provider.get(SCHEDULE_ARN)["State"] == "ENABLED" + + def test_get_returns_none_for_a_schedule_that_is_gone(self, provider, client): + client.failures["get_schedule"] = _not_found("GetSchedule") + + assert provider.get(SCHEDULE_ARN) is None + + def test_a_bare_reference_is_treated_as_a_name_in_the_configured_group(self, provider, client): + provider.delete("ak-t1") + + assert client.kwargs_of("delete_schedule") == {"Name": "ak-t1", "GroupName": GROUP_NAME} + + +class TestErrorMapping: + def test_a_rejected_registration_becomes_a_schedule_error(self, provider, client): + client.failures["create_schedule"] = ClientError({"Error": {"Code": "ValidationException", "Message": "bad expression"}}, "CreateSchedule") + + with pytest.raises(ScheduleError, match="create_schedule failed: bad expression"): + provider.create(_task(), BODY_TEMPLATE) + + def test_a_quota_failure_becomes_a_schedule_error(self, provider, client): + client.failures["create_schedule"] = ClientError( + {"Error": {"Code": "ServiceQuotaExceededException", "Message": "too many schedules"}}, "CreateSchedule" + ) + + with pytest.raises(ScheduleError, match="too many schedules"): + provider.create(_task(), BODY_TEMPLATE) + + def test_a_missing_schedule_is_not_tolerated_on_update(self, provider, client): + client.failures["update_schedule"] = _not_found("UpdateSchedule") + + with pytest.raises(ScheduleError, match="update_schedule failed: schedule not found"): + provider.update(_task(provider_ref=SCHEDULE_ARN), BODY_TEMPLATE) + + +class TestFactoryWiring: + @pytest.fixture(autouse=True) + def _reset_config(self): + AKConfig._reset() + yield + AKConfig._reset() + + @staticmethod + def _configure(monkeypatch, **eventbridge_fields) -> None: + schedule = _ScheduleConfig.model_validate({"provider": {"type": "eventbridge", "eventbridge": eventbridge_fields}}) + config = AKConfig.get().model_copy(update={"schedule": schedule}) + monkeypatch.setattr(AKConfig, "get", classmethod(lambda cls: config)) + + def test_builds_the_provider_from_the_eventbridge_block(self, monkeypatch): + self._configure(monkeypatch, group_name=GROUP_NAME, role_arn=ROLE_ARN, queue_arn=QUEUE_ARN) + + provider = ScheduleProviderFactory.create() + + assert isinstance(provider, EventBridgeScheduleProvider) + assert provider._group_name == GROUP_NAME + + def test_an_incomplete_block_names_every_missing_setting(self, monkeypatch): + self._configure(monkeypatch, group_name=GROUP_NAME) + + with pytest.raises(AKConfigError, match=r"requires schedule.provider.eventbridge settings \['queue_arn', 'role_arn'\]"): + ScheduleProviderFactory.create() + + def test_a_missing_block_is_rejected(self, monkeypatch): + schedule = _ScheduleConfig.model_validate({"provider": {"type": "eventbridge"}}) + config = AKConfig.get().model_copy(update={"schedule": schedule}) + monkeypatch.setattr(AKConfig, "get", classmethod(lambda cls: config)) + + with pytest.raises(AKConfigError, match="requires schedule.provider.eventbridge settings"): + ScheduleProviderFactory.create() + + def test_the_provider_declares_sqs_as_its_only_transport(self): + # Delivery is baked into the registration as an SQS target, so the manager fails fast on + # any other transport rather than registering a schedule that can never deliver. + assert EventBridgeScheduleProvider.supported_transports == frozenset({"sqs"}) + + def test_the_builtin_list_names_the_provider(self): + assert _BUILTIN_SCHEDULE_PROVIDERS == ["local", "eventbridge"] diff --git a/ak-py/tests/test_schedule_provider_local.py b/ak-py/tests/test_schedule_provider_local.py index 143e4fdbf..df5dec309 100644 --- a/ak-py/tests/test_schedule_provider_local.py +++ b/ak-py/tests/test_schedule_provider_local.py @@ -221,6 +221,26 @@ def test_delete_disarms_the_task_and_tolerates_an_unarmed_one(self, transport, p assert provider.get("t1") is None assert _fetch_triggers(transport, wait=0.6) == [] + def test_repeated_amendments_do_not_grow_the_heap_without_bound(self, transport, provider): + """Each re-arm parks its predecessor in the heap; compaction keeps that bounded.""" + provider.create(_task(_at_spec(30)), BODY_TEMPLATE) + + for _ in range(50): + provider.update(_task(_at_spec(30)), BODY_TEMPLATE) + + assert provider.get("t1") is not None + assert len(provider._heap) <= 16 + + def test_disarming_tasks_reclaims_their_heap_entries(self, transport, provider): + for index in range(20): + provider.create(_task(_at_spec(30), task_id=f"t{index}"), BODY_TEMPLATE) + + for index in range(20): + provider.delete(f"t{index}") + + assert provider._armed == {} + assert len(provider._heap) < 20 + def test_an_amended_occurrence_does_not_fire_at_the_old_time(self, transport, provider): task = _task(_at_spec(0.3)) provider.create(task, BODY_TEMPLATE) diff --git a/ak-py/tests/test_schedule_store.py b/ak-py/tests/test_schedule_store.py index f68c436f1..572314ab1 100644 --- a/ak-py/tests/test_schedule_store.py +++ b/ak-py/tests/test_schedule_store.py @@ -1,17 +1,33 @@ -"""Scheduled-task stores (#629 Phase 3: the in_memory backend). +"""Scheduled-task stores: the contract every backend satisfies, once per backend. -The distributed backends (redis, valkey, dynamodb) arrive with their own cases in a later phase; -these pin the contract every backend has to satisfy. +``TestInMemoryScheduleStore`` pins the contract; the redis-like and DynamoDB classes re-run it +against fakes standing in for their client libraries, so a backend that diverges from the contract +fails here rather than in a deployment. Valkey shares the redis body verbatim, so it is covered by +its config wiring plus a representative slice (the thread suite's reasoning). """ +import fnmatch +import sys +from typing import Optional +from unittest.mock import MagicMock + import pytest +from boto3.dynamodb.conditions import Attr from agentkernel.core.config import AKConfig, _ScheduleConfig from agentkernel.core.model import ScheduleSpec +from agentkernel.core.util.driver.valkey import ValkeyDriver from agentkernel.core.util.factory import AKConfigError from agentkernel.schedule.model import ScheduledTask, ScheduleStatus -from agentkernel.schedule.store.base import ScheduleStore, ScheduleStoreBuilder +from agentkernel.schedule.store.base import _BUILTIN_SCHEDULE_STORES, ScheduleStore, ScheduleStoreBuilder +from agentkernel.schedule.store.dynamodb import DynamoDBScheduleStore from agentkernel.schedule.store.in_memory import InMemoryScheduleStore +from agentkernel.schedule.store.redis import RedisScheduleStore +from agentkernel.schedule.store.redis_like import _RedisLikeScheduleStore +from agentkernel.schedule.store.valkey import ValkeyScheduleStore + +PREFIX = "ak:schedule:" +TABLE_NAME = "ak-agent-schedules" def _task(task_id: str, user_id: str = "u1", updated_at: str = "2030-01-01T00:00:00+00:00", **overrides) -> ScheduledTask: @@ -133,6 +149,461 @@ def test_clear_removes_every_record(self, store): assert store.list() == ([], None) +class _FakeRedisLikeClient: + """Minimal in-memory stand-in for the redis/valkey client the shared driver drives. + + Only the commands the store issues are implemented, so the real store body runs end to end + while the assertions stay about the store rather than about a mock's call log. + """ + + def __init__(self): + self.values: dict[str, bytes] = {} + self.sets: dict[str, set[str]] = {} + self.expired: list[tuple[str, int]] = [] + + def ping(self) -> bool: + return True + + def set(self, key: str, value, ex: Optional[int] = None, nx: bool = False) -> bool: + if nx and key in self.values: + return False + self.values[key] = value.encode() if isinstance(value, str) else value + return True + + def get(self, key: str): + return self.values.get(key) + + def delete(self, *keys: str) -> None: + for key in keys: + self.values.pop(key, None) + self.sets.pop(key, None) + + def sadd(self, key: str, member: str) -> None: + self.sets.setdefault(key, set()).add(member) + + def srem(self, key: str, member: str) -> None: + self.sets.get(key, set()).discard(member) + + def smembers(self, key: str) -> set: + return {member.encode() for member in self.sets.get(key, set())} + + def expire(self, name: str, time: int) -> None: + self.expired.append((name, time)) + + def scan_iter(self, match: str, count: Optional[int] = None): + return [key for key in list(self.values) + list(self.sets) if fnmatch.fnmatch(key, match)] + + +class _FakeDynamoDBTable: + """Stand-in for the boto3 Table, covering the paginated scan the store's listing uses.""" + + def __init__(self, items: dict): + self._items = items + self.scan_calls: list[dict] = [] + self.page_size: Optional[int] = None + + def scan(self, **kwargs) -> dict: + self.scan_calls.append(kwargs) + items = list(self._items.values()) + start = items.index(kwargs["ExclusiveStartKey"]) if "ExclusiveStartKey" in kwargs else 0 + if self.page_size is None: + return {"Items": items[start:]} + page = items[start : start + self.page_size] + response = {"Items": page} + if start + self.page_size < len(items): + response["LastEvaluatedKey"] = items[start + self.page_size] + return response + + +class _FakeDynamoDBDriver: + """Stand-in for DynamoDBDriver: the store's writes and reads against one item per task.""" + + def __init__(self): + self.items: dict[str, dict] = {} + self.table = _FakeDynamoDBTable(self.items) + self.cleared = False + + def put(self, item: dict) -> None: + self.items[item["task_id"]] = item + + def get(self, pk_value: str, sk_value=None) -> Optional[dict]: + return self.items.get(pk_value) + + def delete(self, pk_value: str, sk_value=None) -> None: + self.items.pop(pk_value, None) + + def clear_all(self) -> None: + self.items.clear() + self.cleared = True + + +def _configure_store(monkeypatch, **store_fields) -> None: + """Point AKConfig at a schedule block carrying the given store configuration.""" + config = AKConfig.get().model_copy(update={"schedule": _ScheduleConfig.model_validate({"store": store_fields})}) + monkeypatch.setattr(AKConfig, "get", classmethod(lambda cls: config)) + + +class TestRedisLikeScheduleStore: + """The shared redis-protocol body, driven through RedisScheduleStore.""" + + @pytest.fixture(autouse=True) + def _reset_config(self): + AKConfig._reset() + yield + AKConfig._reset() + + @pytest.fixture + def make_store(self, monkeypatch): + def _make(ttl: int = 0) -> RedisScheduleStore: + _configure_store(monkeypatch, type="redis", redis={"ttl": ttl, "prefix": PREFIX}) + store = RedisScheduleStore() + # Inject an established client so the driver never connects; its ping health-check passes. + store._driver._client = _FakeRedisLikeClient() + return store + + return _make + + @pytest.fixture + def store(self, make_store): + return make_store() + + @staticmethod + def _client(store: RedisScheduleStore) -> _FakeRedisLikeClient: + return store._driver._client + + def test_create_then_get_round_trips_the_record(self, store): + store.create(_task("t1", agent="planner")) + + loaded = store.get("t1") + assert loaded.user_id == "u1" + assert loaded.agent == "planner" + assert loaded.spec.cron == "0 9 * * 1" + + def test_records_are_keyed_under_the_configured_prefix(self, store): + store.create(_task("t1")) + + assert f"{PREFIX}task:t1" in self._client(store).values + assert self._client(store).sets[f"{PREFIX}index:user:u1"] == {"t1"} + assert self._client(store).sets[f"{PREFIX}index:all"] == {"t1"} + + def test_get_unknown_task_returns_none(self, store): + assert store.get("missing") is None + + def test_update_overwrites_the_whole_record(self, store): + store.create(_task("t1")) + + store.update(_task("t1", prompt="new prompt", provider_ref="ref-1", status=ScheduleStatus.PAUSED)) + + loaded = store.get("t1") + assert loaded.prompt == "new prompt" + assert loaded.provider_ref == "ref-1" + assert loaded.status is ScheduleStatus.PAUSED + + def test_delete_removes_the_record_and_its_index_memberships(self, store): + store.create(_task("t1")) + + store.delete("t1") + + assert store.get("t1") is None + assert self._client(store).sets[f"{PREFIX}index:user:u1"] == set() + assert self._client(store).sets[f"{PREFIX}index:all"] == set() + # A dangling index member would keep every later listing skipping a task that is gone. + assert store.list() == ([], None) + + def test_delete_tolerates_a_missing_record(self, store): + store.delete("missing") + + def test_delete_clears_index_membership_when_the_document_already_expired(self, store): + """Under a TTL the document can elapse before the delete arrives. Its memberships must go + with it: the owning index cannot be named without the document, so it is searched for.""" + store.create(_task("t1")) + store.create(_task("t2", user_id="u2")) + self._client(store).values.pop(f"{PREFIX}task:t1") + + store.delete("t1") + + assert self._client(store).sets[f"{PREFIX}index:user:u1"] == set() + assert self._client(store).sets[f"{PREFIX}index:all"] == {"t2"} + # Only the deleted id is dropped; another owner's index keeps its own members. + assert self._client(store).sets[f"{PREFIX}index:user:u2"] == {"t2"} + + def test_list_returns_most_recently_updated_first(self, store): + store.create(_task("t1", updated_at="2030-01-01T00:00:00+00:00")) + store.create(_task("t2", updated_at="2030-03-01T00:00:00+00:00")) + + tasks, next_offset = store.list() + + assert [task.task_id for task in tasks] == ["t2", "t1"] + assert next_offset is None + + def test_list_filters_by_owner(self, store): + store.create(_task("t1", user_id="u1")) + store.create(_task("t2", user_id="u2")) + + tasks, _ = store.list(user_id="u2") + + assert [task.task_id for task in tasks] == ["t2"] + + def test_list_pages_with_offset_and_limit(self, store): + for index in range(3): + store.create(_task(f"t{index}", updated_at=f"2030-0{index + 1}-01T00:00:00+00:00")) + + first_page, next_offset = store.list(limit=2, offset=0) + second_page, final_offset = store.list(limit=2, offset=next_offset) + + assert [task.task_id for task in first_page] == ["t2", "t1"] + assert next_offset == 2 + assert [task.task_id for task in second_page] == ["t0"] + assert final_offset is None + + def test_list_skips_index_members_whose_record_expired(self, store): + store.create(_task("t1")) + store.create(_task("t2")) + self._client(store).values.pop(f"{PREFIX}task:t2") + + tasks, _ = store.list() + + assert [task.task_id for task in tasks] == ["t1"] + + def test_record_trigger_advances_the_occurrence_fields(self, store): + store.create(_task("t1")) + + store.record_trigger("t1", request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + loaded = store.get("t1") + assert loaded.last_triggered_at == "2030-02-01T09:00:00+00:00" + assert loaded.last_request_id == "r-1" + assert loaded.trigger_count == 1 + assert loaded.status is ScheduleStatus.ACTIVE + + def test_record_trigger_completes_a_final_occurrence(self, store): + store.create(_task("t1", spec=ScheduleSpec(at="2030-06-01T09:00:00"))) + + store.record_trigger("t1", request_id="r-1", occurred_at="2030-06-01T09:00:00+00:00", completed=True) + + assert store.get("t1").status is ScheduleStatus.COMPLETED + + def test_record_trigger_for_an_unknown_task_is_ignored(self, store): + store.record_trigger("missing", request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + def test_clear_removes_every_record(self, store): + store.create(_task("t1")) + + store.clear() + + assert store.list() == ([], None) + + def test_no_ttl_is_applied_by_default(self, store): + store.create(_task("t1")) + + # Schedules must not silently expire, so the default configuration issues no EXPIRE at all. + assert self._client(store).expired == [] + + def test_a_configured_ttl_covers_the_record_and_both_indexes(self, make_store): + store = make_store(ttl=60) + + store.create(_task("t1")) + + assert {key for key, _ in self._client(store).expired} == { + f"{PREFIX}task:t1", + f"{PREFIX}index:user:u1", + f"{PREFIX}index:all", + } + + def test_a_write_re_registers_index_membership(self, make_store): + """Under a TTL an index set can expire while the record lives; a listing must not lose it.""" + store = make_store(ttl=60) + store.create(_task("t1")) + self._client(store).sets.pop(f"{PREFIX}index:all") + + store.update(_task("t1", prompt="amended")) + + assert [task.task_id for task in store.list()[0]] == ["t1"] + + def test_every_abstract_method_is_implemented(self): + assert not (set(ScheduleStore.__abstractmethods__) - set(vars(_RedisLikeScheduleStore))) + + +class TestValkeyScheduleStore: + """Valkey-specific wiring plus a slice proving the shared body runs through a Valkey driver.""" + + @pytest.fixture(autouse=True) + def _reset_config(self): + AKConfig._reset() + yield + AKConfig._reset() + + @pytest.fixture + def store(self, monkeypatch): + _configure_store(monkeypatch, type="valkey", valkey={"ttl": 0, "prefix": PREFIX}) + store = ValkeyScheduleStore() + store._driver._client = _FakeRedisLikeClient() + return store + + def test_builds_a_valkey_driver_from_the_valkey_block(self, store): + assert isinstance(store._driver, ValkeyDriver) + assert store._prefix == PREFIX + + def test_round_trips_a_record_through_the_shared_body(self, store): + store.create(_task("t1")) + + assert store.get("t1").prompt == "send the weekly report" + assert [task.task_id for task in store.list(user_id="u1")[0]] == ["t1"] + + def test_missing_config_block_is_rejected(self, monkeypatch): + _configure_store(monkeypatch, type="valkey") + + with pytest.raises(ValueError, match="AKConfig.schedule.store.valkey must be set"): + ValkeyScheduleStore() + + +class TestDynamoDBScheduleStore: + @pytest.fixture(autouse=True) + def _reset_config(self): + AKConfig._reset() + yield + AKConfig._reset() + + @pytest.fixture + def store(self, monkeypatch): + _configure_store(monkeypatch, type="dynamodb", dynamodb={"table_name": TABLE_NAME, "ttl": 0}) + store = DynamoDBScheduleStore() + store._driver = _FakeDynamoDBDriver() + return store + + def test_create_then_get_round_trips_the_record(self, store): + store.create(_task("t1", agent="planner")) + + loaded = store.get("t1") + assert loaded.agent == "planner" + assert loaded.spec.cron == "0 9 * * 1" + + def test_an_item_carries_the_attributes_a_listing_needs(self, store): + store.create(_task("t1", updated_at="2030-03-01T00:00:00+00:00")) + + item = store._driver.items["t1"] + # Denormalized so a scan can filter and sort without deserializing every document. + assert item["user_id"] == "u1" + assert item["updated_at"] == "2030-03-01T00:00:00+00:00" + assert '"task_id":"t1"' in item["data"] + + def test_get_unknown_task_returns_none(self, store): + assert store.get("missing") is None + + def test_update_overwrites_the_whole_record(self, store): + store.create(_task("t1")) + + store.update(_task("t1", prompt="new prompt", status=ScheduleStatus.PAUSED)) + + loaded = store.get("t1") + assert loaded.prompt == "new prompt" + assert loaded.status is ScheduleStatus.PAUSED + + def test_delete_removes_the_record_and_tolerates_a_missing_one(self, store): + store.create(_task("t1")) + + store.delete("t1") + store.delete("t1") + + assert store.get("t1") is None + + def test_list_returns_most_recently_updated_first(self, store): + store.create(_task("t1", updated_at="2030-01-01T00:00:00+00:00")) + store.create(_task("t2", updated_at="2030-03-01T00:00:00+00:00")) + + tasks, next_offset = store.list() + + assert [task.task_id for task in tasks] == ["t2", "t1"] + assert next_offset is None + assert "FilterExpression" not in store._driver.table.scan_calls[0] + + def test_list_filters_by_owner_in_the_scan(self, store): + store.create(_task("t1", user_id="u1")) + + store.list(user_id="u2") + + assert store._driver.table.scan_calls[0]["FilterExpression"] == Attr("user_id").eq("u2") + + def test_list_follows_the_scan_pagination(self, store): + for index in range(3): + store.create(_task(f"t{index}", updated_at=f"2030-0{index + 1}-01T00:00:00+00:00")) + store._driver.table.page_size = 1 + + tasks, _ = store.list() + + assert [task.task_id for task in tasks] == ["t2", "t1", "t0"] + assert len(store._driver.table.scan_calls) == 3 + + def test_list_pages_with_offset_and_limit(self, store): + for index in range(3): + store.create(_task(f"t{index}", updated_at=f"2030-0{index + 1}-01T00:00:00+00:00")) + + first_page, next_offset = store.list(limit=2, offset=0) + + assert [task.task_id for task in first_page] == ["t2", "t1"] + assert next_offset == 2 + + def test_only_the_returned_page_is_deserialized(self, store): + """Ordering and paging run on the denormalized attributes, so a document outside the page + is never parsed — which is what makes writing those attributes worth the item space.""" + for index in range(3): + store.create(_task(f"t{index}", updated_at=f"2030-0{index + 1}-01T00:00:00+00:00")) + store._driver.items["t0"]["data"] = "not a task document" + + tasks, _ = store.list(limit=2, offset=0) + + assert [task.task_id for task in tasks] == ["t2", "t1"] + + def test_record_trigger_advances_the_occurrence_fields(self, store): + store.create(_task("t1")) + + store.record_trigger("t1", request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + loaded = store.get("t1") + assert loaded.last_triggered_at == "2030-02-01T09:00:00+00:00" + assert loaded.last_request_id == "r-1" + assert loaded.trigger_count == 1 + + def test_record_trigger_completes_a_final_occurrence(self, store): + store.create(_task("t1", spec=ScheduleSpec(at="2030-06-01T09:00:00"))) + + store.record_trigger("t1", request_id="r-1", occurred_at="2030-06-01T09:00:00+00:00", completed=True) + + assert store.get("t1").status is ScheduleStatus.COMPLETED + + def test_record_trigger_for_an_unknown_task_is_ignored(self, store): + store.record_trigger("missing", request_id="r-1", occurred_at="2030-02-01T09:00:00+00:00", completed=False) + + def test_clear_removes_every_record(self, store): + store.create(_task("t1")) + + store.clear() + + assert store.list() == ([], None) + assert store._driver.cleared + + def test_the_driver_is_built_for_a_single_key_table(self, monkeypatch): + _configure_store(monkeypatch, type="dynamodb", dynamodb={"table_name": TABLE_NAME, "ttl": 90}) + driver_calls = {} + monkeypatch.setattr( + "agentkernel.schedule.store.dynamodb.DynamoDBDriver", + lambda **kwargs: driver_calls.update(kwargs) or MagicMock(), + ) + + DynamoDBScheduleStore() + + assert driver_calls == {"table_name": TABLE_NAME, "partition_key": "task_id", "ttl": 90} + + def test_missing_table_name_is_rejected(self, monkeypatch): + _configure_store(monkeypatch, type="dynamodb") + + with pytest.raises(ValueError, match="AKConfig.schedule.store.dynamodb.table_name must be set"): + DynamoDBScheduleStore() + + def test_every_abstract_method_is_implemented(self): + assert not (set(ScheduleStore.__abstractmethods__) - set(vars(DynamoDBScheduleStore))) + + class _CustomScheduleStore(InMemoryScheduleStore): """Bring-your-own store used to pin dotted-path resolution.""" @@ -145,9 +616,8 @@ def _reset_config(self): AKConfig._reset() @staticmethod - def _configure(monkeypatch, store_type: str) -> None: - config = AKConfig.get().model_copy(update={"schedule": _ScheduleConfig.model_validate({"store": {"type": store_type}})}) - monkeypatch.setattr(AKConfig, "get", classmethod(lambda cls: config)) + def _configure(monkeypatch, store_type: str, **store_fields) -> None: + _configure_store(monkeypatch, type=store_type, **store_fields) def test_builds_the_in_memory_store(self, monkeypatch): self._configure(monkeypatch, "in_memory") @@ -159,6 +629,34 @@ def test_builds_a_bring_your_own_store_from_a_dotted_path(self, monkeypatch): assert isinstance(ScheduleStoreBuilder.build(), _CustomScheduleStore) + def test_builds_the_redis_store(self, monkeypatch): + self._configure(monkeypatch, "redis", redis={"prefix": PREFIX}) + + assert isinstance(ScheduleStoreBuilder.build(), RedisScheduleStore) + + def test_builds_the_valkey_store(self, monkeypatch): + self._configure(monkeypatch, "valkey", valkey={"prefix": PREFIX}) + + assert isinstance(ScheduleStoreBuilder.build(), ValkeyScheduleStore) + + def test_builds_the_dynamodb_store(self, monkeypatch): + self._configure(monkeypatch, "dynamodb", dynamodb={"table_name": TABLE_NAME}) + + assert isinstance(ScheduleStoreBuilder.build(), DynamoDBScheduleStore) + + def test_a_missing_extra_points_at_the_pip_extra(self, monkeypatch): + # Poisoning sys.modules with None makes the branch's import raise ImportError, which + # require_extra rewrites with an install hint. + monkeypatch.setitem(sys.modules, "agentkernel.schedule.store.valkey", None) + self._configure(monkeypatch, "valkey") + + with pytest.raises(ImportError, match='pip install "agentkernel\\[valkey\\]"'): + ScheduleStoreBuilder.build() + + def test_the_builtin_list_names_every_shipped_backend(self): + # The unknown-type AKConfigError names this list, so it is user-facing. + assert _BUILTIN_SCHEDULE_STORES == ["in_memory", "redis", "valkey", "dynamodb"] + def test_unknown_short_name_is_a_config_error(self, monkeypatch): self._configure(monkeypatch, "postgres") diff --git a/ak-py/tests/test_schedule_tools.py b/ak-py/tests/test_schedule_tools.py index dc5cb4a7d..dc00a7d04 100644 --- a/ak-py/tests/test_schedule_tools.py +++ b/ak-py/tests/test_schedule_tools.py @@ -202,6 +202,80 @@ def test_only_the_first_tool_carries_a_description(self, monkeypatch): assert [tool.description for tool in tools[1:]] == ["", "", "", ""] +class TestCronFlavor: + """The cron flavor a caller must write is the configured provider's, so both agent-facing + surfaces — the prompt guidance and the tools' own schemas — have to state that provider's.""" + + @staticmethod + def _configure(monkeypatch, provider_type: str) -> None: + """Configure scheduling on the named provider.""" + _install_schedule_cfg(monkeypatch, _ScheduleConfig.model_validate({"provider": {"type": provider_type}})) + + def test_the_local_provider_describes_the_unix_numbering(self, monkeypatch): + self._configure(monkeypatch, "local") + + guidance = get_schedule_tools()[0].description + + assert "0-6 with 0 = Sunday" in guidance + assert "0-6 with 0 = Sunday" in create_schedule.__doc__ + assert "0-6 with 0 = Sunday" in update_schedule.__doc__ + + def test_the_eventbridge_provider_describes_the_aws_numbering(self, monkeypatch): + self._configure(monkeypatch, "eventbridge") + + guidance = get_schedule_tools()[0].description + + assert "1-7 with 1 = Sunday" in guidance + assert "1-7 with 1 = Sunday" in create_schedule.__doc__ + assert "1-7 with 1 = Sunday" in update_schedule.__doc__ + # The day-field restriction is part of writing an expression AWS will accept. + assert "never both" in create_schedule.__doc__ + + def test_the_provider_name_is_matched_case_insensitively(self, monkeypatch): + self._configure(monkeypatch, "EventBridge") + + assert "1-7 with 1 = Sunday" in get_schedule_tools()[0].description + + def test_a_bring_your_own_provider_keeps_the_standard_description(self, monkeypatch): + self._configure(monkeypatch, "tests.test_schedule_tools.RecordingScheduleProvider") + + assert "0-6 with 0 = Sunday" in get_schedule_tools()[0].description + + def test_the_description_is_re_rendered_when_the_provider_changes(self, monkeypatch): + """The templates are rendered from a pristine copy, so a later flavor still lands: a render + that consumed its own placeholder would pin whichever provider was configured first.""" + self._configure(monkeypatch, "eventbridge") + get_schedule_tools() + + self._configure(monkeypatch, "local") + guidance = get_schedule_tools()[0].description + + assert "0-6 with 0 = Sunday" in guidance + assert "0-6 with 0 = Sunday" in create_schedule.__doc__ + assert "1-7" not in create_schedule.__doc__ + + def test_no_placeholder_survives_into_either_surface(self, monkeypatch): + self._configure(monkeypatch, "local") + + assert "{cron}" not in get_schedule_tools()[0].description + assert "{cron}" not in create_schedule.__doc__ + assert "{cron}" not in update_schedule.__doc__ + + def test_the_tool_functions_keep_their_identity_across_builds(self, monkeypatch): + """Both attachment paths deduplicate by function identity, so rendering must rewrite the + existing functions rather than hand out fresh ones.""" + self._configure(monkeypatch, "local") + + assert [tool.func for tool in get_schedule_tools()] == [tool.func for tool in get_schedule_tools()] + + def test_an_unconfigured_capability_keeps_the_standard_description(self, monkeypatch): + """Rendering must not depend on the capability being usable: registering the tools happens + during agent construction, long before anything is scheduled.""" + _install_schedule_cfg(monkeypatch, None) + + assert "0-6 with 0 = Sunday" in get_schedule_tools()[0].description + + class TestDisabledCapability: @pytest.mark.asyncio async def test_every_tool_short_circuits(self, disabled, acting_session): diff --git a/ak-py/tests/test_serverless_status_propagation.py b/ak-py/tests/test_serverless_status_propagation.py new file mode 100644 index 000000000..a4efa5f82 --- /dev/null +++ b/ak-py/tests/test_serverless_status_propagation.py @@ -0,0 +1,176 @@ +"""The status a chat run produced survives the serverless queue round trip. + +Direct mode answers with whatever status ``ChatService`` produced (202 for a request deferred to +a schedule, 4xx for one it rejected). In queue mode that status has to cross two SQS hops and the +response store to reach the caller, so it is carried as an output-message attribute, stored on the +response record, and replayed by the REST surface — the same contract the pipeline handlers keep. +""" + +import json +from unittest.mock import MagicMock, patch + +import pytest + +from agentkernel.core.model import ExecutionMode +from agentkernel.deployment.aws.serverless.akagentrunner import ServerlessAgentRunner +from agentkernel.deployment.aws.serverless.akresponsehandler import ResponseHandler +from agentkernel.deployment.aws.serverless.core.router.rest_lambda import DefaultEndpointsHandler +from agentkernel.pipeline.envelope import ATTR_STATUS_CODE + +RUNNER_MODULE = "agentkernel.deployment.aws.serverless.akagentrunner" +ROUTER_MODULE = "agentkernel.deployment.aws.serverless.core.router.rest_lambda" + + +def _input_record(prompt: str = "hi") -> dict: + return { + "body": json.dumps({"prompt": prompt, "session_id": "s1", "user_id": "u1"}), + "attributes": {"MessageGroupId": "s1", "MessageDeduplicationId": "req-1"}, + "messageAttributes": { + "request_id": {"stringValue": "req-1", "DataType": "String"}, + "user_id": {"stringValue": "u1", "DataType": "String"}, + }, + } + + +def _output_record(body: dict, status_code: str | None = None) -> dict: + message_attributes = {"request_id": {"stringValue": "req-1", "DataType": "String"}} + if status_code is not None: + message_attributes[ATTR_STATUS_CODE] = {"stringValue": status_code, "DataType": "String"} + return {"body": json.dumps(body), "messageAttributes": message_attributes} + + +class TestAgentRunnerForwardsTheStatus: + @staticmethod + def _sent_attributes(send_mock) -> dict: + custom_attributes = send_mock.call_args.kwargs["custom_message_attributes"] + return {attribute.name: attribute.value for attribute in custom_attributes} + + @pytest.mark.parametrize("status_code", [200, 202, 400]) + def test_the_chat_service_status_travels_as_an_attribute(self, status_code): + chat_service = MagicMock() + chat_service.process_chat_request.return_value = (status_code, {"result": "ok", "session_id": "s1"}) + + with ( + patch.object(ServerlessAgentRunner, "_get_chat_service", return_value=chat_service), + patch(f"{RUNNER_MODULE}.SQSHandler.send_message_to_output_queue") as send, + ): + ServerlessAgentRunner.process_message(_input_record()) + + assert self._sent_attributes(send)[ATTR_STATUS_CODE] == str(status_code) + + def test_a_permanently_failed_message_is_reported_as_a_server_error(self): + with ( + patch.object(ServerlessAgentRunner, "_get_max_receive_count", return_value=3), + patch(f"{RUNNER_MODULE}.SQSHandler.send_message_to_output_queue") as send, + ): + ServerlessAgentRunner.on_permanent_failure(_input_record()) + + assert self._sent_attributes(send)[ATTR_STATUS_CODE] == "500" + + +class TestResponseHandlerStoresTheStatus: + def test_the_forwarded_status_is_stored_on_the_record(self): + record = ResponseHandler._construct_message_for_store(_output_record({"session_id": "s1"}, status_code="202")) + + assert record["status_code"] == 202 + + def test_a_reply_without_a_status_keeps_the_previous_200(self): + """Replies from a sender that predates the forwarding must not change meaning.""" + record = ResponseHandler._construct_message_for_store(_output_record({"session_id": "s1"})) + + assert record["status_code"] == 200 + + def test_an_unparseable_status_falls_back_to_200(self): + record = ResponseHandler._construct_message_for_store(_output_record({"session_id": "s1"}, status_code="not-a-status")) + + assert record["status_code"] == 200 + + def test_a_permanent_failure_is_stored_as_a_server_error(self): + with patch.object(ResponseHandler, "_get_max_receive_count", return_value=3): + record = ResponseHandler._construct_message_for_store( + _output_record({"session_id": "s1"}), + body={"error": "gave up"}, + status_code=ResponseHandler._PERMANENT_FAILURE_STATUS_CODE, + ) + + assert record["status_code"] == 500 + + +class TestRestSurfaceReplaysTheStatus: + @pytest.fixture + def handler_and_store(self): + config = MagicMock() + config.execution.mode = ExecutionMode.REST_SYNC + store = MagicMock() + + with ( + patch(f"{ROUTER_MODULE}.AKConfig.get", return_value=config), + patch(f"{ROUTER_MODULE}.ResponseStoreFactory.create", return_value=store), + patch(f"{ROUTER_MODULE}.ChatService"), + ): + yield DefaultEndpointsHandler(), store + + @staticmethod + def _event() -> dict: + return {"body": json.dumps({"request_id": "req-1", "user_id": "u1", "prompt": "hi", "session_id": "s1"})} + + @pytest.mark.parametrize("stored_status,expected_status", [(200, 200), (202, 202), (400, 400)]) + def test_rest_sync_answers_with_the_stored_status(self, handler_and_store, stored_status, expected_status): + handler, store = handler_and_store + body = {"status": "SCHEDULED", "session_id": "s1"} + store.get_record_with_retry.return_value = {"session_id": "s1", "request_id": "req-1", "status_code": stored_status, "body": body} + + with patch(f"{ROUTER_MODULE}.SQSHandler.send_message_to_input_queue", return_value={}): + status_code, response_body = handler._handle_rest_sync(self._event(), None) + + assert (status_code, response_body) == (expected_status, body) + + def test_a_record_without_a_status_answers_200(self, handler_and_store): + handler, store = handler_and_store + store.get_record_with_retry.return_value = {"session_id": "s1", "request_id": "req-1", "body": {"result": "ok"}} + + with patch(f"{ROUTER_MODULE}.SQSHandler.send_message_to_input_queue", return_value={}): + status_code, response_body = handler._handle_rest_sync(self._event(), None) + + assert (status_code, response_body) == (200, {"result": "ok"}) + + def test_a_response_that_never_arrived_keeps_its_error_body_shape(self, handler_and_store): + handler, store = handler_and_store + store.get_record_with_retry.return_value = None + + with patch(f"{ROUTER_MODULE}.SQSHandler.send_message_to_input_queue", return_value={}): + status_code, response_body = handler._handle_rest_sync(self._event(), None) + + assert status_code == 200 + assert response_body["status"] == "NOT_FOUND" + + def test_the_poll_route_replays_the_stored_status_too(self, handler_and_store): + handler, store = handler_and_store + body = {"error": "schedule is in the past", "session_id": "s1"} + store.get_record_with_retry.return_value = {"session_id": "s1", "request_id": "req-1", "status_code": 400, "body": body} + + status_code, response_body = handler._handle_async_poll(self._event(), None) + + assert (status_code, response_body) == (400, body) + + def test_the_submit_route_still_acknowledges_with_200(self, handler_and_store): + handler, _ = handler_and_store + + with patch(f"{ROUTER_MODULE}.SQSHandler.send_message_to_input_queue", return_value={}): + status_code, response_body = handler._handle_async_submit(self._event(), None) + + assert status_code == 200 + assert response_body["status"] == "ACCEPTED" + + +class TestResponseStoreRecordPolling: + def test_get_record_with_retry_polls_until_a_record_lands(self): + from agentkernel.pipeline.response_store.in_memory import InMemoryResponseStore + + store = InMemoryResponseStore() + store.add_message({"session_id": "s1", "request_id": "req-1", "status_code": 202, "body": {"status": "SCHEDULED"}}) + + record = store.get_record_with_retry(request_id="req-1", get_and_delete=True) + + assert record["status_code"] == 202 + assert store.get_record("req-1") is None diff --git a/docs/docs/advanced/queue-mode-guide.md b/docs/docs/advanced/queue-mode-guide.md index 7fbbc36d4..2e9515037 100644 --- a/docs/docs/advanced/queue-mode-guide.md +++ b/docs/docs/advanced/queue-mode-guide.md @@ -30,11 +30,13 @@ caller and the Agent Runner. This gives you: after that a permanent-failure error is delivered so the caller never hangs. - **Deduplication**: a per-request deduplication ID prevents the same message being processed twice. -The queue transport is pluggable via `execution.queues.type`: +The queue transport is pluggable via `execution.queues.type`, which is mandatory once an +`execution.queues` block is declared — the transport decides the deployment topology, so it is +declared by the application rather than inferred from the queue URLs a deployment injects: | Transport | Status | Where the components run | |-----------|--------|--------------------------| -| `in_memory` | ✅ the default | All five components as threads in one process (local, single-container) | +| `in_memory` | ✅ the default when no `queues` block is declared | All five components as threads in one process (local, single-container) | | `sqs` | ✅ | Two-process topology on AWS; also the transport behind the Lambda and ECS deployment adapters below | | `kafka` | ✅ (`pip install agentkernel[kafka]`) | Kubernetes / on-prem two-process topology | | `nats` (recommended on-prem) | ✅ (`pip install agentkernel[nats]`) | Kubernetes / on-prem two-process topology | @@ -68,7 +70,7 @@ transports remain the production choice for multi-process deployments. execution: mode: rest_sync # rest_sync (default when unset) | rest_async | stream queues: - type: in_memory # the default; spelled out for clarity + type: in_memory # mandatory in a declared queues block input: max_receive_count: 3 # deliveries before a message is permanently failed no_of_consumers: 2 # agent-runner worker threads (parallel sessions) @@ -273,6 +275,39 @@ Both queues are **FIFO** with: | `MessageRetentionPeriod` | Auto-deletes stuck messages, breaks infinite loops | | DLQ (optional) | Catches messages that exceed `maxReceiveCount` | +:::note Scheduling flips the input queue to content-based deduplication +With `enable_scheduling`, EventBridge Scheduler becomes a second producer on the Input Queue and cannot +set a `MessageDeduplicationId`, so the queue enables content-based deduplication instead. Application +senders keep sending an explicit `MessageDeduplicationId`, which takes precedence — nothing about the +flows below changes. See the [scheduling guide](./scheduling.md). +::: + +### Request Metadata: Attributes, with a Body Fallback + +`request_id` and `user_id` normally travel as SQS **message attributes**, and the runners read them from +there. When the attribute is absent they fall back to the same key in the **message body**, and inject +the resolved value back into the attributes so output-side forwarding keeps working. + +That fallback is what makes scheduled triggers work: EventBridge Scheduler cannot set message +attributes, so a scheduled occurrence carries its `request_id`, `user_id`, `scheduled_task_id` and +`scheduled_time` in the body. A message missing the key in *both* places keeps the pre-existing error +path (retry, then permanent-failure handling). + +### Status Codes Travel Through the Queues + +Every agent runner — pipeline, ECS and the agent-runner Lambda — forwards `ChatService`'s status code +to the Output Queue as a `status_code` custom attribute, and the output consumer (or response-handler +Lambda) stores it on the response record. On the way back out: + +- `status_code >= 400` surfaces as a real 4xx/5xx instead of HTTP 200 with an error body: the REST + surfaces raise an `HTTPException`, the Lambda router answers with that status. +- `200 < status_code < 400` is preserved. This is how a deferred chat's **202** reaches the client + through the queue path. +- Records with no `status_code` (written before this existed) default to 200. + +A response that never arrived is the one case the two surfaces differ on: the REST surfaces answer +504 (sync) / 404 (poll), the Lambda router keeps its `NOT_FOUND` error body under a 200. + ### REST Sync Flow 1. Client sends `POST /api/v1/chat`. diff --git a/docs/docs/advanced/scheduling.md b/docs/docs/advanced/scheduling.md new file mode 100644 index 000000000..30382bd94 --- /dev/null +++ b/docs/docs/advanced/scheduling.md @@ -0,0 +1,403 @@ +--- +sidebar_position: 4 +--- + +# Scheduled Tasks + +Agent Kernel can **defer and repeat chat execution**: a chat request that carries a `schedule` block is +not run — it is registered as a scheduled task and acknowledged with **HTTP 202**. When an occurrence is +due, the configured provider delivers the stored prompt into the input queue as a plain chat request, and +the normal execution path runs it. + +## Overview + +| Concern | What it means | +| --- | --- | +| **Enablement** | The presence of a `schedule` block in `config.yaml`. No code change, no handler to mount. | +| **Creation** | Three paths, one implementation: the `schedule` block on a chat request, the `create_schedule` agent tool, or a direct `ScheduleManager` call. There is deliberately **no** `POST /api/v1/schedules`. | +| **Provider** | Owns the timers and fires each occurrence — `local` (in-process thread) or `eventbridge` (AWS EventBridge Scheduler). | +| **Store** | Persists the task records — `in_memory`, `redis`, `valkey`, or `dynamodb`. | +| **Management** | `GET` / `PUT` / `DELETE /api/v1/schedules` for listing, amending, pausing and cancelling. | +| **Ownership** | Every task belongs to a `user_id`; reads and changes are checked against it. | + +### Key Design Decisions + +- **A schedule block means "not now".** The check runs at the top of all four `ChatService` entry points, + before validation and agent selection, so every chat surface behaves identically. The caller gets an + acknowledgement carrying the task id, not an agent reply. +- **`user_id` is required.** It is the owner the task is stored under and the identity later reads and + changes are checked against. A creation without one is a 400. +- **The occurrence is a plain chat request.** The fired trigger carries no `schedule` key — otherwise + firing a schedule would register another one. +- **Deferred requests create no thread.** `AgentThreadRequestHandler` checks for the `schedule` block + before recording, so a deferral neither creates a thread nor records messages. The occurrences that + later fire do. +- **The provider and store are validated as a pair at startup**, not at first use — see + [Topology Constraints](#topology-constraints). + +:::caution Scheduling needs the queue pipeline +Occurrences are delivered *into the input queue*, so scheduling requires the queue-mode execution +pipeline. On a laptop the `in_memory` transport satisfies this inside one process; on AWS it means +`queue_mode = true`. +::: + +## Enabling Scheduling + +Add a `schedule` block to `config.yaml`. A bare block works — its defaults (`local` provider, +`in_memory` store) are what local development needs: + +```yaml +schedule: + provider: + type: local # local | eventbridge, or a dotted path to a ScheduleProvider + store: + type: in_memory # in_memory | redis | valkey | dynamodb, or a dotted path to a ScheduleStore + # agents: [planner] # agents the schedule tools attach to; omitted = all agents + +execution: + mode: rest_sync + queues: + type: in_memory +``` + +Nothing in `app.py` mentions scheduling. `RESTAPI.run()` picks up the block, mounts the management +routes, and resolves the provider/store pairing at startup: + +```python +from agentkernel.api import RESTAPI + +if __name__ == "__main__": + RESTAPI.run() +``` + +Cron parsing needs the `cron` extra: + +```bash +pip install "agentkernel[cron]" +``` + +## Chat Request Fields + +The `schedule` block on any JSON chat request (`POST /api/v1/chat`): + +| Field | Type | Default | Description | +| --- | --- | --- | --- | +| `at` | string | — | ISO-8601 **local wall-clock** timestamp for a one-time run. No UTC offset; must be in the future. | +| `cron` | string | — | Standard **5-field** cron expression for a recurring run. | +| `timezone` | string | `UTC` | IANA timezone the expression is evaluated in. | +| `session_mode` | `reuse` \| `new` | `reuse` | Continue the originating session, or give each occurrence a fresh one. | + +Exactly one of `at` / `cron` must be given. + +:::note Multipart requests cannot carry a schedule +The three multipart chat routes take no `schedule` form field. Schedule a chat over the JSON route. +::: + +### Deferring a one-time chat + +```bash +curl -i -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send me the daily summary", "session_id": "ses-1", "user_id": "alice", + "schedule": {"at": "2030-01-31T09:00:00", "timezone": "Asia/Colombo"}}' +``` + +The acknowledgement comes back as **202**, not 200 — the request was accepted, not executed: + +```http +HTTP/1.1 202 Accepted +content-type: application/json + +{"result":"{\"status\": \"SCHEDULED\", \"scheduled_task_id\": \"74ca19a5-...\", \"session_id\": \"ses-1\"}","session_id":"ses-1"} +``` + +The 202 surfaces on every REST surface: direct mode, through the pipeline waiter/poller, and on both +AWS deployments — ECS and Lambda — where the queue runners forward it as a `status_code` attribute. +Streaming surfaces yield the +acknowledgement as a single terminal chunk — deliberately not an error chunk, since deferring was the +requested outcome. + +### Deferring a recurring chat + +```bash +curl -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "session_id": "ses-2", "user_id": "alice", + "schedule": {"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}}' +``` + +An unusable schedule is rejected at creation rather than at fire time: + +```http +HTTP/1.1 400 Bad Request + +{"detail":{"error":"schedule 'at' must be in the future: '2020-01-01T09:00:00' has already passed in UTC","session_id":"ses-1"}} +``` + +## Managing Schedules + +```bash +# List a user's schedules, most recently updated first (cursor-paginated) +curl "http://localhost:8000/api/v1/schedules?user_id=alice&limit=20" + +# Read one +curl http://localhost:8000/api/v1/schedules/{task_id} +``` + +A task record reads back as: + +```json +{ + "task_id": "ae9a043b-27f7-480f-8655-5903fbfd200a", + "user_id": "alice", + "prompt": "Send the weekly report", + "agent": null, + "session_id": "ses-2", + "spec": {"at": null, "cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}, + "status": "active", + "provider_ref": "ae9a043b-27f7-480f-8655-5903fbfd200a", + "created_at": "2026-08-18T07:04:04.177184+00:00", + "updated_at": "2026-08-18T07:04:04.178100+00:00", + "last_triggered_at": null, + "trigger_count": 0, + "last_request_id": null +} +``` + +`status` is one of `active`, `paused`, `completed` (a fired one-time task) or `cancelled`. +`trigger_count`, `last_triggered_at` and `last_request_id` track occurrences — `last_request_id` +correlates a task with the run it produced. + +### Amending + +`PUT` replaces the **full amendable state** rather than merging, so send every value including the ones +that are not changing. An omitted occurrence field clears it. `status` covers only the paused/active +switch — a paused schedule keeps its record but stops firing: + +```bash +curl -X PUT http://localhost:8000/api/v1/schedules/{task_id} \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "cron": "0 8 * * 1", "timezone": "Asia/Colombo", + "session_mode": "new", "status": "paused"}' +``` + +An amendment that names **none** of `at` / `cron` / `timezone` / `session_mode` leaves the occurrence +rule untouched — that is how a prompt-only change works. + +### Cancelling + +```bash +curl -X DELETE http://localhost:8000/api/v1/schedules/{task_id} +``` + +The record survives as the audit trail, so the response is the task with `"status": "cancelled"`. + +## Agent Tools + +When the block is present, Agent Kernel injects five system tools and their guidance into the agent's +system prompt, so an agent can defer work when a user asks it to — agent authors never describe these +tools themselves: + +`create_schedule` · `list_schedules` · `get_schedule` · `update_schedule` · `delete_schedule` + +```bash +curl -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts.", + "session_id": "ses-3", "user_id": "alice"}' +``` + +Every tool acts as the **acting user** — the `user_id` of the run that invoked it — so an agent can +never reach another user's schedules. A run with no user identity gets an error result rather than an +anonymous create. Scope the tools to specific agents with `schedule.agents`: + +```yaml +schedule: + agents: [planner] # omitted = all agents +``` + +## Authorization + +The management routes are **open** until an `Authoriser` is configured. Supply a subclass that validates +the Bearer token against your authentication provider and resolves the caller's `user_id`, then boot +through the IO handler: + +```python +from agentkernel.auth import Authoriser +from agentkernel.pipeline import IOHandler + + +class MyAuthoriser(Authoriser): + def authorise(self, token: str) -> str | None: + return resolve_user_from(token) # None rejects the token + + +if __name__ == "__main__": + IOHandler.run(authoriser=MyAuthoriser()) +``` + +With an `Authoriser` configured, listings are forced to the resolved user and reading or changing another +user's schedule is rejected with 403. If you already have an `AuthValidator`, wrap it rather than writing +a second implementation: + +```python +from agentkernel.auth import AuthValidatorAuthoriser + +IOHandler.run(authoriser=AuthValidatorAuthoriser(MyValidator())) +``` + +:::caution Open until configured +Without an `Authoriser`, any caller can list and change any user's schedules by passing `user_id`. Expose +these routes publicly only behind one. +::: + +## Providers + +| Provider | Durability | Transport | Use for | +| --- | --- | --- | --- | +| `local` | Armed occurrences are lost on restart | `in_memory` only | Local development, single-process demos | +| `eventbridge` | AWS owns the timers; any process with the same config can amend or cancel | `sqs` only | Production on AWS | + +The `local` provider runs one daemon thread per process over a heap of armed occurrences. The +`eventbridge` provider registers one EventBridge Scheduler schedule per task named `ak-`, +translating `at` to an `at(...)` expression and 5-field cron to the 6-field AWS flavour. A fired one-time +schedule is retired by AWS (`ActionAfterCompletion: DELETE`); the store record remains the audit trail. + +```yaml +schedule: + provider: + type: eventbridge + store: + type: dynamodb + +execution: + queues: + type: sqs # what tells every component it is on SQS; the URLs are injected per component +``` + +:::note AWS cron accepts only one day field +EventBridge rejects a schedule constraining both day-of-month and day-of-week. A 5-field cron that +constrains both is refused at creation with a 400. +::: + +## Storage Backends + +```yaml +# Redis +schedule: + store: + type: redis + redis: + url: redis://localhost:6379 + prefix: "ak:schedule:" + ttl: 0 # 0 disables expiry (the default) + +# Valkey (Redis-protocol compatible; requires the `valkey` extra) +schedule: + store: + type: valkey + valkey: + url: valkey://localhost:6379 + +# DynamoDB — table needs partition key `task_id` (S), no sort key +schedule: + store: + type: dynamodb + dynamodb: + table_name: ak-agent-schedules +``` + +:::note TTL defaults to 0, unlike threads +A task that silently expired would stop firing with no audit trail, so schedule records never expire +unless you set a TTL explicitly. +::: + +## Topology Constraints + +`ScheduleManager` validates the pairing at startup and fails the boot rather than the first request: + +| Combination | Rejected because | +| --- | --- | +| `local` provider + a broker transport (`sqs`/`kafka`/`nats`) | The heap of armed occurrences is reachable only from its own process, so the management routes would amend timers a different process owns — a cancellation would report success while the timer kept firing. | +| `local` provider + a shared store | Same split: the records and the timers must live together. | +| `in_memory` store + a broker transport | The records themselves would be split across the runner and IO-handler processes. | +| `eventbridge` provider + a non-`sqs` transport | Delivery is baked into the schedule registration as an SQS target. | +| `eventbridge` provider with `group_name`, `role_arn` or `queue_arn` missing | Nothing to register schedules against. | + +## Deploying Scheduling + +Deploying scheduling takes **two** steps, the same split as session and thread storage — your +application declares *which* backends, Terraform provisions them and supplies *where* they live: + +1. Declare the backends in `config.yaml`: `schedule: {provider: {type: eventbridge}, store: {type: dynamodb}}`. +2. Set the matching Terraform flags, which provision the backends and inject their coordinates: + +| Cloud | Flag | Provisions | Injects | +|---|---|---|---| +| AWS serverless + containerized | `enable_scheduling` | An EventBridge Scheduler schedule group, the execution role Scheduler assumes to deliver triggers to the input queue, and `scheduler:*Schedule` + `iam:PassRole` on both roles | `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME`, `__ROLE_ARN`, `__QUEUE_ARN` | +| AWS serverless + containerized | `create_dynamodb_schedule_table` | A DynamoDB table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) | `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` | + +```hcl +queue_mode = true +enable_scheduling = true +create_dynamodb_schedule_table = true +``` + +You do not need to set the group, role or table names yourself — Terraform generates them and passes +them in. + +:::warning Setting the flags without declaring the backends runs scheduling locally +`AKConfig.schedule` is absent until something populates it, and any `AK_SCHEDULE__*` variable is enough +to populate it — but `provider.type` and `store.type` then fall back to their `local` / `in_memory` +defaults. So the Terraform flags *without* a `schedule:` block in `config.yaml` give you an in-process +scheduler whose timers die with the container, while the provisioned group and table sit unused, with no +error. Declare both types and this cannot happen. + +The reverse mistake is safe: declaring the types *without* setting the flags fails loudly at startup — +`AKConfigError` on the missing `group_name` / `role_arn` / `queue_arn` — because no coordinates were +injected. +::: + +:::note `enable_scheduling` flips the input queue to content-based deduplication +EventBridge Scheduler cannot set a `MessageDeduplicationId`, so without content-based dedup two +occurrences carrying an otherwise identical body would collapse into one inside the 5-minute window. +This is an in-place update on an existing queue and does not affect application senders, which always +send an explicit `MessageDeduplicationId` — that takes precedence. The output queue is untouched. +::: + +## Trigger Contract + +Each occurrence arrives on the input queue as a plain chat request. The manager freezes one body per +task at create/amend time and the provider substitutes the occurrence placeholders when it fires: + +```json +{"prompt": "...", "agent": null, "user_id": "alice", + "session_id": "ses-2", + "scheduled_task_id": "", + "request_id": "", + "scheduled_time": ""} +``` + +- With `session_mode: new`, `session_id` becomes `ak-sched--`. +- **No `schedule` key** — the occurrence runs, it does not register another schedule. +- **Metadata travels in the body, not in message attributes.** EventBridge Scheduler cannot set SQS + message attributes, and the local provider deliberately matches that, so both exercise the runners' + body-fallback path for `request_id` and `user_id`. +- `schedule`, `scheduled_task_id` and `scheduled_time` never reach the agent as unknown context. + +## Examples + +- [`examples/api/schedule-openai`](https://github.com/yaalalabs/agent-kernel/tree/main/examples/api/schedule-openai) — + a runnable REST API with the `local` provider and `in_memory` store, showing deferral, the management + routes, and an agent that schedules work itself. +- [`examples/aws-containerized/openai-schedule`](https://github.com/yaalalabs/agent-kernel/tree/main/examples/aws-containerized/openai-schedule) — + the same capability on AWS ECS with the `eventbridge` provider and a DynamoDB store: a REST-service + task serving the management routes, an agent-runner task consuming the Input Queue, and Terraform + provisioning the schedule group, execution role and schedule table. +- [`examples/aws-serverless/schedule-openai`](https://github.com/yaalalabs/agent-kernel/tree/main/examples/aws-serverless/schedule-openai) — + the AWS Lambda equivalent: request-handler, agent-runner and response-handler Lambdas with the + `eventbridge` provider and a DynamoDB store. + +See the [AWS containerized](../deployment/aws-containerized.md#scheduling-eventbridge-scheduler) and +[AWS serverless](../deployment/aws-serverless.md#scheduling-eventbridge-scheduler) deployment guides for +the `enable_scheduling` / `create_dynamodb_schedule_table` Terraform variables. diff --git a/docs/docs/core-concepts/configuration.md b/docs/docs/core-concepts/configuration.md index 67ed16f94..6c0719403 100644 --- a/docs/docs/core-concepts/configuration.md +++ b/docs/docs/core-concepts/configuration.md @@ -81,6 +81,7 @@ websocket_api: execution: mode: rest_sync # Execution mode: rest_sync, rest_async, stream, or async (WebSocket) queues: + type: sqs # Queue transport: in_memory | sqs | kafka | nats, or a dotted path to a QueueTransport subclass. Mandatory whenever this block is declared input: url: "https://sqs.us-east-1.amazonaws.com/123456789012/agent-input" # Input SQS queue URL max_receive_count: 3 # Maximum number of times a message can be received from input queue before being treated as permanently failed @@ -140,6 +141,31 @@ thread: table_name: "ak-agent-threads" ttl: 0 +# Deferred and recurring chats (optional - feature is enabled by the presence of this block. +# A bare `schedule:` block works as-is: local provider, in_memory store. +# See /docs/advanced/scheduling) +schedule: + provider: + type: local # local | eventbridge, or a dotted path to a ScheduleProvider subclass + eventbridge: # required when provider.type is eventbridge - all three are supplied by the AWS Terraform modules + group_name: "ak-agent-schedules" + role_arn: "arn:aws:iam::123456789012:role/ak-scheduler-execution" + queue_arn: "arn:aws:sqs:us-east-1:123456789012:agent-input" + store: + type: in_memory # in_memory | redis | valkey | dynamodb, or a dotted path to a ScheduleStore subclass + redis: + url: "redis://localhost:6379" + ttl: 0 # 0 disables expiry - scheduled tasks carry no default TTL + prefix: "ak:schedule:" + valkey: + url: "valkey://localhost:6379" + ttl: 0 + prefix: "ak:schedule:" + dynamodb: + table_name: "ak-agent-schedules" # partition key 'task_id' (S), no sort key, TTL on 'expiry_time' + ttl: 0 + agents: [] # Agents the schedule tools attach to; omit for all agents + # Messaging platform integrations slack: agent: "" # Default agent for Slack @@ -271,6 +297,7 @@ Alternatively, use `config.json`: "execution": { "mode": "rest_sync", "queues": { + "type": "sqs", "input": { "url": "https://sqs.us-east-1.amazonaws.com/123456789012/agent-input", "max_receive_count": 3, @@ -610,6 +637,7 @@ export AK_EXECUTION__RESPONSE_STORE__DYNAMODB__TTL=604800 - Queues and response_store are required for `rest_sync` and `rest_async` modes - For `async` (WebSocket) mode, queues are optional but response_store is not used since responses are broadcast directly through the WebSocket connection - When queues are not configured, the request handler processes requests directly without queuing +- `execution.queues.type` is mandatory whenever an `execution.queues` block is declared: the transport is what decides the topology, and the queue URLs a deployment injects per component are never used to infer it ### Logging Configuration (Optional) @@ -784,7 +812,8 @@ guardrail: # Execution configuration (for AWS serverless and containerized deployments) execution: mode: "rest_sync" # Execution mode: 'rest_sync', 'rest_async', 'stream', or 'async' - queues: # Queue URLs for queue-based execution + queues: # Queue transport + coordinates for queue-based execution + type: "sqs" # in_memory | sqs | kafka | nats, or a dotted path to a QueueTransport subclass - mandatory whenever this block is declared input: url: "https://sqs.us-east-1.amazonaws.com/123456789012/agent-input" # Input SQS queue URL max_receive_count: 3 # Max receive count before message is treated as failed diff --git a/docs/docs/deployment/aws-containerized.md b/docs/docs/deployment/aws-containerized.md index c67baa982..01663b612 100644 --- a/docs/docs/deployment/aws-containerized.md +++ b/docs/docs/deployment/aws-containerized.md @@ -243,6 +243,54 @@ For the full example see [examples/aws-containerized/openai-dynamodb-scalable](h For queue mode internals see [Queue Mode Guide](../advanced/queue-mode-guide.md). +## Scheduling (EventBridge Scheduler) + +Deferred and recurring chats run on AWS EventBridge Scheduler, which delivers each occurrence as a +trigger message to the Input Queue. **Scheduling requires `queue_mode = true`** — there is no +non-queue path for it. + +Two Terraform variables turn on the infrastructure, both `false` by default and fully `count`-gated: + +| Variable | Description | Type | Default | +|---|---|---|---| +| `enable_scheduling` | Create the EventBridge Scheduler schedule group and the execution role Scheduler assumes to deliver triggers to the Input Queue, grant both ECS task roles `scheduler:*Schedule` + `iam:PassRole`, and inject their coordinates. Requires `queue_mode = true`. | `bool` | `false` | +| `create_dynamodb_schedule_table` | Create the DynamoDB schedule store table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) and inject its generated name as `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` | `bool` | `false` | + +```hcl +queue_mode = true +enable_scheduling = true +create_dynamodb_schedule_table = true +``` + +**Terraform is only half of it.** The module injects the group, role, queue and table coordinates but +never `schedule.provider.type` or `schedule.store.type` — the same rule as `thread.type`. The +application's `config.yaml` must declare the backends: + +```yaml +schedule: + provider: + type: eventbridge + store: + type: dynamodb +``` + +Setting the flags without that block leaves scheduling on the default `local` provider and `in_memory` +store, and the provisioned group and table sit unused with no error. + +Two further consequences worth knowing: + +- `enable_scheduling` flips the **Input Queue** to `content_based_deduplication = true` (an in-place + update on an existing queue). EventBridge Scheduler cannot set a `MessageDeduplicationId`, so + without it two occurrences carrying an otherwise identical trigger body would collapse into one + inside the 5-minute dedup window. Application senders are unaffected — they always send an explicit + `MessageDeduplicationId`, which takes precedence. The Output Queue is untouched. +- Both task roles get the schedule permissions: the REST service serves the `/api/v1/schedules` + management routes (amend and cancel reach Scheduler), and the agent runner hosts the + `create_schedule` / `update_schedule` / `delete_schedule` agent tools. + +For the full example see [examples/aws-containerized/openai-schedule](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-containerized/openai-schedule), +and for the application side see the [Scheduling guide](../advanced/scheduling.md). + ## WebSocket Mode Set `execution_mode = "async"` to front the ECS service with a **WebSocket API Gateway** @@ -665,4 +713,6 @@ See [examples/aws-containerized](https://github.com/yaalalabs/agent-kernel/tree/ [openai-websocket-scalable](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-containerized/openai-websocket-scalable), [openai-stream](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-containerized/openai-stream), and [openai-stream-queue-mode](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-containerized/openai-stream-queue-mode) -for WebSocket mode. +for WebSocket mode, and +[openai-schedule](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-containerized/openai-schedule) +for deferred and recurring chats on EventBridge Scheduler. diff --git a/docs/docs/deployment/aws-serverless.md b/docs/docs/deployment/aws-serverless.md index 400d78759..0e0568d74 100644 --- a/docs/docs/deployment/aws-serverless.md +++ b/docs/docs/deployment/aws-serverless.md @@ -1206,6 +1206,49 @@ module "serverless_agents" { - `output_queue_visibility_timeout` must be ≥ `response_handler.timeout` - At most one of `create_redis_response_store`, `create_valkey_response_store`, and `create_dynamodb_response_store` may be `true` +### Scheduling (EventBridge Scheduler) + +Deferred and recurring chats run on AWS EventBridge Scheduler, which delivers each occurrence as a +trigger message to the Input Queue. **Scheduling requires `queue_mode = true`** — there is no +non-queue path for it. + +| Variable | Description | Type | Default | +|---|---|---|---| +| `enable_scheduling` | Create the EventBridge Scheduler schedule group and the execution role Scheduler assumes to deliver triggers to the Input Queue, grant both Lambda roles `scheduler:*Schedule` + `iam:PassRole`, and inject `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME` / `__ROLE_ARN` / `__QUEUE_ARN`. Requires `queue_mode = true`. | `bool` | `false` | +| `create_dynamodb_schedule_table` | Create the DynamoDB schedule store table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) and inject its generated name as `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` into both Lambdas | `bool` | `false` | + +```hcl +queue_mode = true +enable_scheduling = true +create_dynamodb_schedule_table = true +``` + +**Terraform is only half of it.** The module injects the group, role, queue and table coordinates but +never `schedule.provider.type` or `schedule.store.type`. The application's `config.yaml` must declare +the backends: + +```yaml +schedule: + provider: + type: eventbridge + store: + type: dynamodb +``` + +Setting the flags without that block leaves scheduling on the in-process `local` provider and +`in_memory` store — which does not survive between Lambda invocations — and the provisioned group and +table sit unused with no error. + +`enable_scheduling` also flips the **Input Queue** to `content_based_deduplication = true`. EventBridge +Scheduler cannot set a `MessageDeduplicationId`, so without it two occurrences carrying an otherwise +identical trigger body would collapse into one inside the 5-minute dedup window. Application senders +are unaffected — they always send an explicit `MessageDeduplicationId`, which takes precedence. + +Relevant outputs: `schedule_group_name`, `schedule_group_arn`, `scheduler_execution_role_arn`, +`schedule_table_name`, `schedule_table_arn` (each `null` unless the matching flag is set). + +For the application side see the [Scheduling guide](../advanced/scheduling.md). + ## Cost Optimization ### Lambda Configuration @@ -1443,5 +1486,6 @@ CloudWatch metrics automatically available: | [websocket-openai](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-serverless/websocket-openai) | `async` | Yes | Full-response WebSocket delivery | | [streaming-openai](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-serverless/streaming-openai) | `stream` | Yes | Token-level WebSocket streaming with `ServerlessStreamAgentRunner` | | [openai](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-serverless/openai) | `rest_sync` | No | Simple single-Lambda REST deployment | +| [schedule-openai](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-serverless/schedule-openai) | `rest_sync` | Yes | Deferred and recurring chats on EventBridge Scheduler with a DynamoDB schedule store | See [examples/aws-serverless](https://github.com/yaalalabs/agent-kernel/tree/develop/examples/aws-serverless) for all available examples. \ No newline at end of file diff --git a/docs/docs/examples/overview.md b/docs/docs/examples/overview.md index 104562b1e..24778adb7 100644 --- a/docs/docs/examples/overview.md +++ b/docs/docs/examples/overview.md @@ -22,6 +22,7 @@ Examples demonstrating Agent Kernel's API capabilities and integrations: - **`whatsapp/`** - WhatsApp integration example - **`instagram/`** - Instagram integration example - **`telegram/`** - Telegram integration example +- **`schedule-openai/`** - Deferred and recurring chats: a chat request carrying a `schedule` block is registered instead of run (HTTP 202), with the in-process `local` provider, an `in_memory` task store, the `/api/v1/schedules` management routes, and an agent that can schedule work itself ### 📁 CLI Examples (`/examples/cli`) @@ -78,6 +79,7 @@ AWS ECS/Fargate deployment examples: - **`openai-websocket-scalable/`** - OpenAI agents on AWS ECS over a WebSocket API in queue mode: the REST/IO service enqueues chat frames and pushes responses, while a separately-scalable Agent Runner service processes them from SQS - **`openai-stream/`** - OpenAI agents on AWS ECS over a WebSocket API in direct (non-queue), STREAM execution mode: the reply is delivered token-by-token as `STREAM_CHUNK` messages instead of one final `CHAT_RESPONSE` - **`openai-stream-queue-mode/`** - OpenAI agents on AWS ECS over a WebSocket API in queue-based STREAM execution mode: the Agent Runner streams token-by-token chunks onto the Output Queue so it can scale independently of ingress +- **`openai-schedule/`** - Deferred and recurring chats on AWS ECS: EventBridge Scheduler owns the timers and delivers each occurrence into the Input Queue, with a DynamoDB schedule store and the `/api/v1/schedules` management routes on the REST service ### 📁 AWS Serverless Examples (`/examples/aws-serverless`) @@ -89,6 +91,7 @@ AWS Lambda serverless deployment examples: - **`openai/`** - OpenAI agents running on AWS Lambda - **`websocket-openai/`** - OpenAI agents with WebSocket API for real-time bidirectional communication - **`streaming-openai/`** - OpenAI agents with WebSocket token-level streaming (`execution.mode: stream`) +- **`schedule-openai/`** - Deferred and recurring chats on AWS Lambda: EventBridge Scheduler delivers each occurrence into the Input Queue for the agent-runner Lambda, backed by a DynamoDB schedule store ### 📁 Azure Containerized Examples (`/examples/azure-containerized`) diff --git a/docs/sidebars.js b/docs/sidebars.js index 4d272358e..077c9fe16 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -131,6 +131,7 @@ const sidebars = { 'advanced/multi-agent', 'advanced/multimodal', 'advanced/threads', + 'advanced/scheduling', 'advanced/sandbox', 'advanced/knowledge-bases', 'advanced/queue-mode-guide', diff --git a/docs/specs/629-scheduled-tasks/design.md b/docs/specs/629-scheduled-tasks/design.md index 9aa926994..2a60fef84 100644 --- a/docs/specs/629-scheduled-tasks/design.md +++ b/docs/specs/629-scheduled-tasks/design.md @@ -84,7 +84,10 @@ A chat request gains an optional `schedule` block that defers its execution to a - The `in_memory` transport is what makes a deployment single-process — `IOHandler` runs the agent runner as a thread only then, and `AgentRunner.run` refuses that transport outright. On a broker transport the management routes (IOHandler process) and the scheduler thread (agent-runner process) are therefore in different processes, and every creation path lands in the runner (chat interception and the `create_schedule` tool both run there) while every management path lands in IOHandler. - Unguarded consequence: `PUT`/`DELETE /api/v1/schedules/{id}` would update the routes' own store and call `update`/`delete` on the routes' own empty provider — reporting success while the runner's timer kept firing — and a listing would not see runner-created tasks at all. - So `ScheduleManager` also raises `AKConfigError` when `schedule.provider.type` is `local` and either the resolved transport or `schedule.store.type` is not `in_memory`. Kept separate from `supported_transports` because delivery is unaffected: `local` + `sqs` fires correctly and is only unmanageable. - - Anchored on the `local` short name rather than a declared capability, because `local` is the only built-in provider today, so it covers every reachable configuration. When the eventbridge provider and the distributed stores land, the analogous `in_memory` store + broker transport pairing (records split across processes under a provider that manages fine) needs its own guard. + - Anchored on the `local` short name rather than a declared capability, because that short name is what pins the timers to one process. +- **In-memory-store single-process constraint** (a third fail-fast at the same construction point, landing with the eventbridge provider and the distributed stores): + - `ScheduleManager` raises `AKConfigError` when `schedule.store.type` is `in_memory` and the resolved transport is not `in_memory`. A durable provider manages fine across processes, but the records do not travel: every creation path lands in the runner and every management path in IOHandler, so a listing would not see runner-created tasks and an amendment would report success against a record the firing process never had. + - Kept separate from the local-provider guard because it constrains the store, not the timers: `eventbridge` + `in_memory` fires correctly and is only unmanageable. - Trigger firing reliability, retries, and DLQs are the scheduling platform's concern, outside AK's scope once registration succeeds. ### ScheduleStore abstraction (issue req 3) diff --git a/docs/specs/629-scheduled-tasks/plan.md b/docs/specs/629-scheduled-tasks/plan.md index cf3fd913d..a3a87cc60 100644 --- a/docs/specs/629-scheduled-tasks/plan.md +++ b/docs/specs/629-scheduled-tasks/plan.md @@ -134,7 +134,7 @@ Spec sections: "ScheduleStore" backends, "ScheduleProvider" EventBridge. ### Iteration 5.1: redis/valkey/dynamodb stores - **Files:** `schedule/store/redis_like.py`, `redis.py`, `valkey.py`, `dynamodb.py`; builder branches with `require_extra`. -- **Verify:** full `tests/test_schedule_store.py` (fake redis-like client, mocked `DynamoDBDriver`); `ScheduleStoreBuilder` unknown-type + BYO cases in `tests/test_store_builders.py`. +- **Verify:** full `tests/test_schedule_store.py` (fake redis-like client, mocked `DynamoDBDriver`), including the `ScheduleStoreBuilder` cases — built-in branches, `require_extra` hint, BYO dotted path, unknown short name — which stay in that file beside the backends they build rather than moving to `tests/test_store_builders.py`. ### Iteration 5.2: EventBridge provider diff --git a/docs/specs/629-scheduled-tasks/release-notes.md b/docs/specs/629-scheduled-tasks/release-notes.md index 87a258bec..8a85bd54c 100644 --- a/docs/specs/629-scheduled-tasks/release-notes.md +++ b/docs/specs/629-scheduled-tasks/release-notes.md @@ -1,12 +1,129 @@ # Release notes draft: #629 scheduling capability Paste-ready material for the GitHub release that ships #629. The capability lands over six PRs -(`plan.md` phases 1 to 6); this draft accumulates as each phase merges. **Shipped so far: phases 1 -and 2** (shared authorization/pagination refactor, queue-path groundwork). The scheduling capability -itself (phases 3 to 6) adds its own sections below when those PRs land. +(`plan.md` phases 1 to 6); this draft accumulates as each phase merges. **Shipped so far: all six +phases** — the shared authorization/pagination refactor, the queue-path groundwork, the scheduling +core, the management API and agent tools, the distributed stores and the EventBridge provider, and +the AWS Terraform support. + +## New: scheduled and recurring chats + +A chat request can now carry a **`schedule` block** instead of running immediately. Agent Kernel +registers it as a scheduled task and answers **HTTP 202**; when an occurrence is due, the configured +provider delivers the stored prompt into the input queue as a plain chat request and the normal +execution path runs it. + +The presence of a `schedule` block in `config.yaml` is the whole switch — no handler to mount, no +code change. Its defaults are what local development needs: + +```yaml +schedule: + provider: + type: local # local | eventbridge, or a dotted path to a ScheduleProvider + store: + type: in_memory # in_memory | redis | valkey | dynamodb, or a dotted path to a ScheduleStore + # agents: [planner] # agents the schedule tools attach to; omitted = all agents +``` + +```bash +curl -i -X POST http://localhost:8000/api/v1/chat \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "session_id": "ses-1", "user_id": "alice", + "schedule": {"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}}' + +HTTP/1.1 202 Accepted +{"result":"{\"status\": \"SCHEDULED\", \"scheduled_task_id\": \"74ca19a5-...\", \"session_id\": \"ses-1\"}","session_id":"ses-1"} +``` + +What ships with it: + +- **Two providers.** `local` runs an in-process scheduler thread (development; armed occurrences do + not survive a restart). `eventbridge` registers one AWS EventBridge Scheduler schedule per task, so + AWS owns the timers and any process holding the same configuration can amend or cancel them. +- **Four task stores.** `in_memory`, `redis`, `valkey`, and `dynamodb`. Unlike threads, schedule + records have **no default TTL** — a task that silently expired would stop firing with no audit + trail. +- **Management routes**, mounted automatically when the block is present: `GET /api/v1/schedules` + (cursor-paginated), and `GET` / `PUT` / `DELETE /api/v1/schedules/{task_id}` to read, amend and + cancel. `PUT` is full-replacement. There is deliberately **no POST** — creation is the chat + block or the agent tool, so callers and agents share one path. Protect them with an `Authoriser` + (`IOHandler.run(authoriser=...)`); listings are then forced to the resolved user and cross-user + access is 403. +- **Five agent tools**, injected with their guidance into the system prompt when the block is + present: `create_schedule`, `list_schedules`, `get_schedule`, `update_schedule`, + `delete_schedule`. Each acts as the *acting user*, so an agent can never reach another user's + schedules. Scope them with `schedule.agents`. +- **Startup validation of the topology.** The provider, store and queue transport are checked as a + set at boot, not at first use: `local` + a broker transport, `local` + a shared store, + `in_memory` + a broker transport, and `eventbridge` + a non-`sqs` transport each fail fast with + an `AKConfigError` rather than reporting a successful cancellation whose timer keeps firing. +- **Ownership everywhere.** Every task belongs to a `user_id`; a creation without one is a 400 and + every later read or change is checked against it. +- **New optional extra**: `pip install "agentkernel[cron]"` (croniter, for cron parsing). The + EventBridge provider rides the existing `aws` extra. + +Docs: [Scheduled Tasks](https://kernel.yaala.ai/docs/advanced/scheduling). Runnable example: +`examples/api/schedule-openai`. + +### Deploying it on AWS + +Both AWS Terraform stacks (serverless and containerized) gained two flags, off by default: + +| Flag | Provisions | Injects | +|---|---|---| +| `enable_scheduling` | An EventBridge Scheduler schedule group, the execution role Scheduler assumes to deliver triggers to the input queue, and `scheduler:*Schedule` + `iam:PassRole` on both the request/REST and agent-runner roles. Requires `queue_mode = true`. | `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME`, `__ROLE_ARN`, `__QUEUE_ARN` | +| `create_dynamodb_schedule_table` | A DynamoDB table (partition `task_id`, no sort key, no GSI, TTL on `expiry_time`) | `AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME` | + +As with `thread.type`, Terraform never injects `schedule.provider.type` or `schedule.store.type` — +declare those in the application's committed `config.yaml`, or the injected coordinates alone leave +scheduling on the `local`/`in_memory` defaults while the provisioned group and table sit unused. + +Five new outputs on each stack (`schedule_group_name`, `schedule_group_arn`, +`scheduler_execution_role_arn`, `schedule_table_name`, `schedule_table_arn`), all null unless the +matching flag is set. ## Breaking changes +**`execution.queues.type` is now mandatory inside a declared `queues` block.** +The transport used to be inferred when `type` was absent: a configured `input.url` implied `sqs`, +anything else `in_memory`. Queue coordinates are injected per component by a deployment, though — a +Lambda that consumes its input queue through an event source mapping is never given the input URL — +so the inference made one process resolve `sqs` while its sibling resolved `in_memory`. The +transport decides the deployment topology, so the application now declares it. + +Any existing `config.yaml` that declares an `execution.queues` block without `type` fails to load: + +``` +pydantic_core._pydantic_core.ValidationError: 1 validation error for AKConfig +execution.queues.type + Field required [type=missing, input_value={'input': {'url': 'https:...'}}, input_type=dict] +``` + +Before: + +```yaml +execution: + mode: rest_sync + queues: + input: + url: https://sqs.us-east-1.amazonaws.com/123456789012/ak-input.fifo +``` + +After: + +```yaml +execution: + mode: rest_sync + queues: + type: sqs # in_memory | sqs | kafka | nats, or a dotted path to a QueueTransport + input: + url: https://sqs.us-east-1.amazonaws.com/123456789012/ak-input.fifo +``` + +Omitting the `queues` block entirely is unaffected and still runs the single-process `in_memory` +transport, so an application that never declared one needs no change. See the +[Queue Mode Guide](https://kernel.yaala.ai/docs/advanced/queue-mode-guide) for the per-transport values. + **`Authoriser` now lives in `agentkernel.auth`.** `Authoriser` was defined inside the thread integration, which made it look thread-specific. It is the generic authorization hook for *any* resource-management route (threads today, scheduled tasks @@ -30,6 +147,13 @@ behavior, same 401 detail strings on the routes that use it. Apps that subclass line and nothing else. `agentkernel.thread` and `agentkernel.integration.thread` no longer expose an `Authoriser` attribute, so a stale import fails loudly at import time rather than silently. +**`schedule`, `scheduled_task_id` and `scheduled_time` are now reserved chat-request keys.** +They used to fall through to the agent as unknown `AgentRequestAny` context; they are now typed +fields with meaning. A JSON chat request carrying a `schedule` key defers the execution when the +capability is configured, and is rejected with 400 `"Scheduling is not configured. Add a 'schedule' +block to config.yaml"` when it is not. If your application sent any of these three names as +free-form context, rename them. + **ECS REST_SYNC/REST_ASYNC error replies now surface as HTTP 4xx/5xx.** An ECS-mode reply whose stored status is >= 400 previously came back as HTTP 200 with an error body. It now raises the same `HTTPException` the direct and pipeline modes already raised. Clients that @@ -66,6 +190,23 @@ parity with every other deployment mode. Non-error responses are byte-identical. status code instead of discarding it, `ECSOutputConsumer` persists it (records gain an additive `status_code` key, defaulting to 200 and 500 on permanent failure), and sync/poll responses honor the stored status. A future 202 acknowledgement survives the round trip end to end. +- **A deferred chat returns HTTP 202 on every surface**: direct REST (via a `JSONResponse`), through + the pipeline waiter/poller, and on ECS, where the queue runners forward it as a `status_code` + attribute. Streaming surfaces yield the acknowledgement as a single terminal chunk — deliberately + not an error chunk, since deferring was the requested outcome. +- **`IOHandler` mounts the schedule management routes automatically** whenever a `schedule` block is + present, and calls `ScheduleManager.get()` eagerly at startup, so an unusable provider/transport + pairing or an incomplete provider config fails the boot rather than the first request. + `RESTAPI.run()`'s delegation rule is untouched; an app needing an `Authoriser` in this topology + calls `IOHandler.run(authoriser=...)` directly. +- **Deferred requests create no thread.** `AgentThreadRequestHandler` checks for the `schedule` block + before `ThreadRecorder.pre_run`, so a deferral neither creates a thread nor records messages. The + occurrences that later fire do. +- **The AWS input queue flips to content-based deduplication under `enable_scheduling`** (an + in-place update). EventBridge Scheduler cannot set a `MessageDeduplicationId`, so without it two + occurrences carrying an otherwise identical trigger body would collapse into one inside the + 5-minute window. Application senders are unaffected — they always send an explicit + `MessageDeduplicationId`, which takes precedence. The output queue is untouched. - **Acting user is visible to hooks and tools.** A run whose request carries `user_id` exposes it in the session's volatile cache under `ak.acting_user_id` for the duration of that run: @@ -83,7 +224,7 @@ parity with every other deployment mode. Non-error responses are byte-identical. ## Notes for maintainers - Behavioral details and the full change inventory: `docs/specs/629-scheduled-tasks/spec.md` - (Behavioural changes, items 4, 5, 6, 9, 11). + (Behavioural changes, all 11 items). - Phased breakdown and per-phase sync steps: `docs/specs/629-scheduled-tasks/plan.md`. - `docs/versioned_docs/` is a frozen release snapshot and intentionally still shows the old `Authoriser` import path. diff --git a/docs/specs/629-scheduled-tasks/spec.md b/docs/specs/629-scheduled-tasks/spec.md index 71644ec91..b00f599ad 100644 --- a/docs/specs/629-scheduled-tasks/spec.md +++ b/docs/specs/629-scheduled-tasks/spec.md @@ -84,6 +84,10 @@ class ScheduledTask(BaseModel): trigger_count: int = 0 last_request_id: Optional[str] = None # request_id of the most recent occurrence + def apply_trigger(self, request_id: Optional[str], # advances the occurrence fields and + occurred_at: str, # completes the task; returns self so + completed: bool) -> "ScheduledTask": ... # a store writes it back inline + class ScheduledTaskPage(BaseModel): tasks: List[ScheduledTask]; next_cursor: Optional[str] = None ``` @@ -119,7 +123,8 @@ def _record_trigger(self, req) -> None: # never raises: log-and-continu from ..schedule.manager import ScheduleManager manager = ScheduleManager.get() if manager is not None: - manager.record_trigger(task_id, request_id=getattr(req, "request_id", None), + manager.record_trigger(task_id, req.user_id, + request_id=getattr(req, "request_id", None), occurred_at=getattr(req, "scheduled_time", None)) ``` @@ -189,7 +194,7 @@ class ScheduleManager: def list_tasks(self, user_id=None, limit=None, cursor=None) -> ScheduledTaskPage def update(self, task_id, amendment: dict, user_id=None) -> ScheduledTask def cancel(self, task_id, user_id=None) -> ScheduledTask - def record_trigger(self, task_id, request_id=None, occurred_at=None) -> None + def record_trigger(self, task_id, user_id, request_id=None, occurred_at=None) -> None ``` - **Transport compatibility (fail-fast)**: at construction, when `provider.supported_transports is not None` and `QueueTransportFactory.resolve_type()` (`pipeline/transport/base.py:72-87`) is not in the set, raise `AKConfigError("schedule provider 'eventbridge' delivers to 'sqs' transports, but the configured queue transport is 'in_memory'")`. `resolve_type()` is used (not `create()`) because it returns the declared or URL-implied type even where the pipeline transport class has not shipped (ECS today). @@ -198,7 +203,7 @@ class ScheduleManager: - **Amendment** (`update`): load + ownership check → reject when `status` in (`completed`, `cancelled`) with `ValueError` → apply the amendable fields (semantic re-validation) → `store.update` → `provider.update` (which re-freezes the trigger body; pause/resume maps to provider state). On provider failure the store change is rolled back to the previous record and the error re-raised. - **Cancel**: ownership check → `provider.delete(provider_ref)` (tolerates already-gone) → `store.update(status=CANCELLED)`. Soft transition: the record is the audit trail. - **Ownership**: `get_task`/`update`/`cancel` raise `PermissionError` when `user_id is not None and task.user_id != user_id` (the thread convention, `integration/thread/manager.py:251-252`); `list_tasks` filters by owner. -- **record_trigger**: `store.record_trigger(task_id, request_id, occurred_at or now)` updating `last_triggered_at`, `trigger_count += 1`, `last_request_id`; a one-time task (spec has `at`) also moves to `COMPLETED`. Wrapped in `try/except Exception: log`: recording never fails a run. +- **record_trigger**: the acting `user_id` must own the task, otherwise nothing is recorded and a warning is logged — the trigger metadata arrives on a client-bindable chat request, so a caller can name any task id, and a forged one would otherwise inflate another user's counters and complete their one-time task (after which no amendment or cancellation is accepted). An absent identity is a mismatch, not an unauthenticated caller to wave through. Then `store.record_trigger(task_id, request_id, occurred_at or now)` updating `last_triggered_at`, `trigger_count += 1`, `last_request_id`; a one-time task (spec has `at`) also moves to `COMPLETED`. Wrapped in `try/except Exception: log`: recording never fails a run. - **Pagination**: cursor/limit helpers move to a new shared `core/util/pagination.py` (`encode_cursor`, `decode_cursor`, `clamp_limit`) extracted verbatim from `integration/thread/manager.py:27-54`; the thread manager is refactored to call them (behavior identical: base64 offset cursor, `ValueError("Invalid pagination cursor")`, default 50 / max 200). `ScheduleManager` uses the same helpers. ### Trigger bodies and delivery @@ -293,8 +298,8 @@ Backends: - `in_memory`: `ClassVar` dict keyed by `task_id`, the thread `paginate` helper shape (`integration/thread/store/base.py:16-28`). - `redis`/`valkey` via `_RedisLikeScheduleStore` over the shared drivers (`core/util/driver/`, `_RedisLikeDriver` subclasses): key layout `{prefix}task:{task_id}` (JSON document), index sets `{prefix}index:user:{user_id}` and `{prefix}index:all`. Default `prefix` `ak:schedule:`, default `ttl` **0** (schedules must not silently expire; unlike threads). -- `dynamodb` over `DynamoDBDriver`: one item per task, partition key `task_id` (S), no sort key. `list` scans with a filter expression (the thread-store precedent, `integration/thread/store/dynamodb.py:215,226-227`; acceptable at schedule cardinalities, documented). -- `record_trigger` is a read-modify-write. Concurrency contract: last-writer-wins is acceptable (occurrence fields are monotonic and advisory); no store-level locking is added. The manager is the only writer of non-occurrence fields. +- `dynamodb` over `DynamoDBDriver`: one item per task, partition key `task_id` (S), no sort key. `list` scans with a filter expression (the thread-store precedent, `integration/thread/store/dynamodb.py:215,226-227`; acceptable at schedule cardinalities, documented). The item carries `user_id` and `updated_at` beside the `data` document, so the scan filters server-side and the listing orders and pages on the items themselves — only the returned page's documents are deserialized. +- `record_trigger` is a read-modify-write: each backend loads the record, applies `ScheduledTask.apply_trigger` (the shared rule — advance the occurrence fields, complete the task unless it was cancelled between the fire and the record), and writes it back. Concurrency contract: last-writer-wins is acceptable (occurrence fields are monotonic and advisory); no store-level locking is added. The manager is the only writer of non-occurrence fields. ### Configuration (`core/config.py`) @@ -392,6 +397,7 @@ def get_schedule_tools() -> list[SystemTool]: - Signatures: `create_schedule(prompt, cron=None, at=None, timezone="UTC", session_mode="reuse", agent=None)`; `update_schedule(task_id, prompt, cron=None, at=None, timezone="UTC", session_mode="reuse", status="active")` (PUT semantics); `list_schedules()`, `get_schedule(task_id)`, `delete_schedule(task_id)`. - Every tool starts `manager = ScheduleManager.get(); if manager is None: return _DISABLED` (`_DISABLED = json.dumps({"error": "scheduling capability is disabled"})`, the sandbox first-line pattern `sandbox/tools.py:79-81`). +- **Cron flavor**: what a caller must write for `cron` is the configured provider's (day-of-week `0-6`/`0 = Sunday` under `local`, `1-7`/`1 = Sunday` plus the one-day-field rule under `eventbridge`, whose backend interprets the expression itself), so `get_schedule_tools()` branches on `schedule.provider.type == "eventbridge"` — the way the manager's topology guards anchor on `local` — and renders the matching sentence into both agent-facing surfaces: the guidance blob, and the `cron:` entry of `create_schedule`/`update_schedule`'s docstrings, which are the tools' LLM-facing schemas (only `SystemTool.func` reaches a framework; the adapters read its `__doc__`). Rendered from module-level template copies captured at import, and written onto the existing functions — fresh per-call closures would defeat the identity-based deduplication in `Agent._attach_system_tools` and the adapters' own wrapping. Process-wide state, which is sound because one process has one configured provider. A dotted-path (BYO) provider is described in the standard flavor. - **Acting user**: `Session.current().get_volatile_cache().get(ACTING_USER_CACHE_KEY)` (imported from `core.runtime`, or equivalently from `core`, which re-exports it). Every tool requires it: absent → `{"error": "scheduling requires a user identity: include user_id on the chat request"}`. `list_schedules` is scoped to the acting user; `get`/`update`/`delete` pass it for ownership enforcement (a `PermissionError` becomes an error JSON). - `create_schedule` with `session_mode="reuse"` uses `Session.current().id` as the originating session. - **Registration**: one new block in `SystemToolFactory.get_all()` after the sandbox block (`core/tool.py:194-198`): @@ -472,6 +478,7 @@ All intentional; each traced to a design requirement: | Creation without `user_id` | `ValueError` → 400 (chat); error JSON (tools, from the acting-user check) | | Provider create/update failure (`botocore ClientError`, local send failure at registration) | `ScheduleError` → 500 via the wrappers; create rolls the store record back (hard delete), update restores the previous record | | Provider/transport mismatch (`eventbridge` + non-`sqs` transport) | `AKConfigError` at `ScheduleManager` construction: IOHandler startup failure when the block is present; otherwise first scheduling use → 500 | +| Store/transport mismatch (`in_memory` store + broker transport) | `AKConfigError` at `ScheduleManager` construction, surfaced the same way: the records would be split across the runner and IOHandler processes | | Missing `schedule.provider.eventbridge.{group_name,role_arn,queue_arn}` | `AKConfigError` at factory time (same surfacing as above) | | `croniter` not installed | `ImportError` with the extra hint via `require_extra("schedule", ...)` at manager build (`core/util/factory.py:50-64`) | | Store create/update/list failure | Propagates → 500 / error JSON | @@ -488,9 +495,9 @@ All intentional; each traced to a design requirement: New test files (patterns per `ak-dev-testing-conventions`: config monkeypatching via `monkeypatch.setattr("agentkernel.core.config.AKConfig.get", classmethod(lambda cls: FakeCfg))`, fake drivers for redis-like stores, mocked boto3): -- `tests/test_schedule_model.py`: `ScheduleSpec` one-of validation, `session_mode` literal, `ScheduledTask` JSON round trip, amendment model. +- `tests/test_schedule_model.py`: `ScheduleSpec` one-of validation, `session_mode` literal, `ScheduledTask` JSON round trip, amendment model; `apply_trigger` (fields advance and accumulate, a final occurrence completes, a cancellation outranks that completion) — pinned once here because every store shares it. - `tests/test_schedule_manager.py`: `get()` returns `None` without the block; transport-compatibility fail-fast (monkeypatch `QueueTransportFactory.resolve_type`); semantic validation matrix (cron/tz/at); create order + rollback on provider failure (fake provider raising); ownership `PermissionError`; amendment rules (completed → 400-shaped `ValueError`); cancel tolerates provider not-found; `record_trigger` updates occurrence fields, completes one-time tasks, and never raises (store failure injected); cursor pagination through the shared helpers. -- `tests/test_schedule_store.py`: in_memory, redis-like (fake `_RedisLikeDriver` client), and DynamoDB (mocked `DynamoDBDriver`) round trips: create/get/update/delete/list-filter/record_trigger. +- `tests/test_schedule_store.py`: in_memory, redis-like (fake `_RedisLikeDriver` client), and DynamoDB (mocked `DynamoDBDriver`) round trips: create/get/update/delete/list-filter/record_trigger. `ScheduleStoreBuilder` lives here too rather than in `tests/test_store_builders.py` — every backend it can build is already set up in this file, so the built-in branches, the `require_extra` hint, the BYO dotted path and the unknown-short-name `AKConfigError` are pinned beside the stores they resolve to. - `tests/test_schedule_provider_local.py`: next-fire computation (cron + timezone, `at`), single fire for one-time, re-arm for cron, token substitution, delivery into `InMemoryTransport` with **empty attributes** (uses `InMemoryTransport.reset()` isolation), pause/delete disarm. - `tests/test_schedule_provider_eventbridge.py`: mocked boto3 `scheduler` client asserting exact `create_schedule`/`update_schedule`/`delete_schedule` kwargs: expression translation (5→6 field, `?` day rule, `at()` form), `ScheduleExpressionTimezone`, `ActionAfterCompletion` DELETE/NONE, `State` mapping, `Input` token replacement to ``/``, `SqsParameters.MessageGroupId`; `ClientError` → `ScheduleError`; delete idempotency. - `tests/test_schedule_tools.py`: the sandbox agent-surface suite shape (`tests/test_sandbox.py:837-935`): disabled short-circuit; `SystemToolFactory.get_all` includes/excludes on block presence and `agents` scoping (including the anonymous-caller rule and independence from the sandbox `agents` list); prompt-suffix content; acting-user read from the volatile cache (set via a real `Session`); per-tool JSON contracts including the no-identity error. @@ -501,10 +508,10 @@ New test files (patterns per `ak-dev-testing-conventions`: config monkeypatching - `tests/test_ecs_output_consumer_status.py`: stored record gains `status_code` (present, absent → 200, permanent failure → 500). - `tests/test_authoriser_shared.py`: `AuthValidatorAuthoriser` (valid → subject, invalid → None); `agentkernel.auth`'s export is the class defined in `auth/authoriser.py`; and the relocation is asserted complete — `agentkernel.integration.thread` and `agentkernel.thread` no longer expose an `Authoriser` attribute, so a re-export cannot creep back in unnoticed. -Existing tests that must pass **unchanged** (they pin behavior this change refactors around): `tests/test_thread_integration.py`, `tests/test_chat_service_core.py`, `tests/test_chat_service_streaming.py`, `tests/test_sqs_handler.py` (send-side wire shape), `tests/test_store_builders.py` (extended with `ScheduleStoreBuilder` unknown-type + BYO dotted cases), `tests/test_sandbox.py` (tool-factory independence). +Existing tests that must pass **unchanged** (they pin behavior this change refactors around): `tests/test_thread_integration.py`, `tests/test_chat_service_core.py`, `tests/test_chat_service_streaming.py`, `tests/test_sqs_handler.py` (send-side wire shape), `tests/test_store_builders.py` (untouched: the session/thread/multimodal builders it pins are not what this change adds a backend to), `tests/test_sandbox.py` (tool-factory independence). `tests/test_thread_router.py` is the one exception: its **assertions** stay untouched (the 401/403 strings still pin the extracted `AuthorisedRESTRequestHandler` base), but its import line moves `Authoriser` to `agentkernel.auth`. Existing patch targets that must keep resolving: everything under `deployment/common/*` shims (untouched). Nothing patches `agentkernel.integration.thread.authoriser.Authoriser`, which is why that module could be deleted outright rather than shimmed. -Changed existing files: `tests/test_thread_integration.py` gains a "schedule block skips recording" case; `tests/test_store_builders.py` gains the schedule-store cases; a `RestHandler._build_sync_response` status-honoring case is added where the pipeline request-handler tests live. +Changed existing files: `tests/test_thread_integration.py` gains a "schedule block skips recording" case; a `RestHandler._build_sync_response` status-honoring case is added where the pipeline request-handler tests live. Run: `cd ak-py && uv run pytest`, plus `make lint-check`. Terraform: `terraform fmt -check` and `terraform validate` in `ak-deployment/ak-aws/containerized` and `ak-deployment/ak-aws/serverless`. diff --git a/examples/api/schedule-openai/README.md b/examples/api/schedule-openai/README.md index c207e3eb7..b42fda520 100644 --- a/examples/api/schedule-openai/README.md +++ b/examples/api/schedule-openai/README.md @@ -9,7 +9,8 @@ The `schedule` block in `config.yaml` is what enables the capability (see `app.p mentions scheduling). It selects two backends: the **provider** that owns the timers and the **store** that persists the task records. This example uses the defaults — the `local` provider (an in-process scheduler thread) and the `in_memory` store — which need nothing but the process itself. -Neither survives a restart; this demo currently supports only the `local` provider and `in_memory` store. +Neither survives a restart, which is why this demo stays on that pairing; a durable deployment uses the +`eventbridge` provider with the `redis`, `valkey` or `dynamodb` store instead. That pairing is also a hard requirement rather than a default: the `local` provider's timers and the `in_memory` store's records are reachable only from the process that owns them, so `ScheduleManager` refuses at startup if either is combined with a broker transport (`sqs`/`kafka`/`nats`) or a shared store. diff --git a/examples/api/schedule-openai/build.sh b/examples/api/schedule-openai/build.sh index 287d2e42c..717b89239 100755 --- a/examples/api/schedule-openai/build.sh +++ b/examples/api/schedule-openai/build.sh @@ -12,5 +12,5 @@ if [[ ${1-} != "local" ]]; then else # For local development of agentkernel, you can force reinstall from local dist uv sync --find-links ../../../ak-py/dist --all-extras - uv pip install --force-reinstall --find-links ../../../ak-py/dist agentkernel[api,openai,schedule,test] || true + uv pip install --force-reinstall --find-links ../../../ak-py/dist agentkernel[api,openai,cron,test] || true fi \ No newline at end of file diff --git a/examples/api/schedule-openai/pyproject.toml b/examples/api/schedule-openai/pyproject.toml index 23db72fb1..841a861cf 100644 --- a/examples/api/schedule-openai/pyproject.toml +++ b/examples/api/schedule-openai/pyproject.toml @@ -5,9 +5,9 @@ description = "Demo of scheduled and recurring chat execution with OpenAI Agents readme = "README.md" requires-python = ">=3.12" dependencies = [ - # 'cron' pulls in croniter for cron-expression schedules; config.yaml's `schedule.provider.type: - # local` and `schedule.store.type: in_memory` are in-process only and for this dev example — not - # for production use. + # 'cron' pulls in croniter for cron-expression schedules; config.yaml's + # `schedule.provider.type: local` and `schedule.store.type: in_memory` are + # in-process implementations. "agentkernel[openai,api,cron]>=0.8.1", ] diff --git a/examples/api/schedule-openai/uv.lock b/examples/api/schedule-openai/uv.lock index d29b43607..5a9324308 100644 --- a/examples/api/schedule-openai/uv.lock +++ b/examples/api/schedule-openai/uv.lock @@ -38,14 +38,14 @@ api = [ { name = "gunicorn" }, { name = "uvicorn" }, ] +cron = [ + { name = "croniter" }, +] openai = [ { name = "openai-agents" }, { name = "openai-guardrails" }, { name = "openinference-instrumentation-openai-agents" }, ] -schedule = [ - { name = "croniter" }, -] test = [ { name = "datasets" }, { name = "langchain-community" }, @@ -218,7 +218,7 @@ name = "api-schedule-openai" version = "0.1.0" source = { virtual = "." } dependencies = [ - { name = "agentkernel", extra = ["api", "openai", "schedule"] }, + { name = "agentkernel", extra = ["api", "cron", "openai"] }, ] [package.dev-dependencies] @@ -230,7 +230,7 @@ dev = [ ] [package.metadata] -requires-dist = [{ name = "agentkernel", extras = ["openai", "api", "schedule"], specifier = ">=0.8.1" }] +requires-dist = [{ name = "agentkernel", extras = ["openai", "api", "cron"], specifier = ">=0.8.1" }] [package.metadata.requires-dev] dev = [ @@ -1250,8 +1250,8 @@ name = "httpcore2" version = "2.10.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "h11", marker = "sys_platform != 'emscripten'" }, - { name = "truststore", marker = "sys_platform != 'emscripten'" }, + { name = "h11" }, + { name = "truststore" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a9/83/a896fc59940fc5a6e2aff3a4be1d92fa890112936803b331cae75a993c34/httpcore2-2.10.0.tar.gz", hash = "sha256:13c0cc3d1919d4f28457f60cd2c2abe04113a8af184ccf1142811beba936f9dc", size = 67427, upload-time = "2026-08-09T09:11:32.123Z" } wheels = [ diff --git a/examples/aws-containerized/openai-dynamodb-scalable/config.yaml b/examples/aws-containerized/openai-dynamodb-scalable/config.yaml index 35a959364..875aab174 100644 --- a/examples/aws-containerized/openai-dynamodb-scalable/config.yaml +++ b/examples/aws-containerized/openai-dynamodb-scalable/config.yaml @@ -10,6 +10,10 @@ session: execution: mode: rest_sync queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: url: "" # injected by Terraform via AK_EXECUTION__QUEUES__INPUT__URL max_receive_count: 4 diff --git a/examples/aws-containerized/openai-schedule/.gitignore b/examples/aws-containerized/openai-schedule/.gitignore new file mode 100644 index 000000000..a48920cb5 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/.gitignore @@ -0,0 +1,11 @@ +.terraform +requirements.txt +dist +dist.zip +*.tfstate +*.tfstate.backup + +# Auto-injected backend files (optional for CI/CD) +deploy/backend.tf +dist-agent-runner +dist-rest-service \ No newline at end of file diff --git a/examples/aws-containerized/openai-schedule/README.md b/examples/aws-containerized/openai-schedule/README.md new file mode 100644 index 000000000..246626be5 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/README.md @@ -0,0 +1,293 @@ +# Agent Kernel Scheduled & Recurring Chats on AWS ECS + +This package demonstrates the Agent Kernel **scheduling capability** deployed on AWS ECS: a chat +request carrying a `schedule` block is not run — it is registered as a scheduled task and +acknowledged with **HTTP 202**. When an occurrence is due, AWS EventBridge Scheduler delivers the +stored prompt into the Input Queue as a plain chat request, and the agent runner executes it +through the normal path. + +Nothing in `app_agent_runner.py` mentions scheduling. The `schedule` block in `config.yaml` is the +whole switch. + +## Architecture Overview + +- **REST Service ECS Task** — three roles in one service: chat ingress (enqueue + poll the response + store), the output-queue consumer thread, and the **schedule management routes** + (`/api/v1/schedules`). +- **Agent Runner ECS Task** — consumes the Input Queue. It runs fired occurrences *and* registers + new tasks, whether the request carried a `schedule` block or the agent called `create_schedule` + itself. +- **EventBridge Scheduler** — owns the timers. One schedule per task, named `ak-`, inside a + schedule group Terraform provisions, targeting the Input Queue. +- **DynamoDB** — three tables: session store, response store, and the **schedule store** holding the + task records. +- **SQS FIFO queues** — the Input Queue is the delivery target for both the REST service and + Scheduler. + +``` +POST /api/v1/chat {"schedule": {...}} POST /api/v1/chat (no schedule) + | | + REST Service ---> Input Queue ---> Agent Runner ---> Output Queue ---> REST Service + | ^ | + | | +--> registers ak- in the schedule group + | | and writes the record to the schedule store + | EventBridge Scheduler + | (fires each occurrence) + | + GET/PUT/DELETE /api/v1/schedules --> schedule store + Scheduler (direct, no queue round trip) +``` + +## Deployed Resources + +- **ECS Services**: REST Service (FastAPI + output-queue poller) and Agent Runner +- **SQS**: FIFO input and output queues, with DLQs. The input queue runs with **content-based + deduplication** — see [Why the input queue changes](#why-the-input-queue-changes) below +- **EventBridge Scheduler**: a schedule group plus the execution role Scheduler assumes to send to + the input queue +- **DynamoDB**: session store, response store, schedule store (partition `task_id`, no sort key) +- **IAM**: `scheduler:{Create,Update,Delete,Get}Schedule` + `iam:PassRole` on both task roles +- **API Gateway + ALB**: HTTP API with VPC Link, routing the chat route and the schedule routes +- **VPC** and **CloudWatch** + +## The two-step enablement + +Scheduling needs Terraform **and** `config.yaml` to agree, exactly like thread storage: + +1. **`deploy/main.tf`** sets the flags, which provision the backends and inject their coordinates: + + ```hcl + queue_mode = true # mandatory: occurrences arrive on the Input Queue + enable_scheduling = true + create_dynamodb_schedule_table = true + ``` + +2. **`config.yaml`** declares *which* backends to use: + + ```yaml + schedule: + provider: + type: eventbridge + store: + type: dynamodb + ``` + +Terraform injects `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__{GROUP_NAME,ROLE_ARN,QUEUE_ARN}` and +`AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME`, but never a `type`. Setting the flags **without** the +`config.yaml` block leaves scheduling on the in-process `local` provider and `in_memory` store — the +timers would die with the container while the provisioned group and table sat unused, with no error. +The reverse mistake is safe: declaring the types without the flags fails at startup with an +`AKConfigError` on the missing coordinates. + +## Why the input queue changes + +`enable_scheduling` flips the **Input Queue** to `content_based_deduplication = true` (an in-place +update; the output queue is untouched). EventBridge Scheduler cannot set a +`MessageDeduplicationId`, so SQS must derive one from the body. + +That is safe here because no two occurrences ever produce the same body: the trigger body carries +`request_id` and `scheduled_time` as EventBridge context attributes +(``, ``) which AWS resolves per firing. +Application senders are unaffected — they always send an explicit `MessageDeduplicationId`, which +takes precedence over content-based dedup. + +## Why `app_rest_service.py` is not just `ECSIOHandler.run()` + +`ECSIOHandler.run()` builds the FastAPI app from `AWSRestAPI`'s default handlers, which cover chat +only. To serve the management routes this example subclasses `AWSRestAPI` to add +`ScheduleRESTRequestHandler`, then composes the same two peer threads ECSIOHandler runs +(`ThreadRunner` + `ECSOutputConsumer`). All public API, ~30 lines. + +The management routes are served **in the REST service**, not through the queues: they read the +shared DynamoDB task store and call Scheduler directly, so a listing or cancellation needs no round +trip. + +The routes are **open** in this example. To protect them, pass an `Authoriser`: + +```python +class ScheduleAwareRestAPI(AWSRestAPI): + @classmethod + def get_default_handlers(cls): + return AWSRestAPI.get_default_handlers() + [ScheduleRESTRequestHandler(authoriser=MyAuthoriser())] +``` + +With one configured, listings are forced to the resolved user and touching another user's schedule +is a 403. + +## API Gateway routes must be declared + +The gateway only proxies paths listed in `gateway_endpoints`. The chat route is added by the module; +the schedule routes are declared in `deploy/main.tf`: + +```hcl +gateway_endpoints = [ + { + path = "schedules" + method = "ANY" # GET (list) + overwrite_path = "/api/v1/schedules" + }, + { + path = "schedules/{task_id}" + method = "ANY" # GET (read), PUT (amend), DELETE (cancel) + overwrite_path = "/api/v1/schedules/$request.path.task_id" + }, +] +``` + +`overwrite_path` is the backend path handed to the ALB. It is a **required, non-empty** field on this +module, so each route maps onto *itself* — `ScheduleRESTRequestHandler` declares the real +`/api/v1/schedules...` paths, and FastAPI must see them unchanged. +`$request.path.task_id` is an API Gateway parameter-mapping expression carrying the path parameter +through. Omit these entries and the routes exist inside the container but 404 at the gateway. + +## Prerequisites + +- An AWS account with permissions for ECS, ECR, SQS, DynamoDB, EventBridge Scheduler, IAM, API + Gateway and VPC resources +- Terraform >= 1.9.5, Docker, the AWS CLI, and `uv` +- An `OPENAI_API_KEY` +- A VPC and private subnets (or let the module create them by omitting `vpc_id`) + +## Deploy + +Set the deployment identifiers in `deploy/terraform.tfvars`, then: + +```bash +./build.sh # or ./build.sh local to build against a local ak-py dist +cd deploy +./deploy.sh # packages both images, terraform init + apply, waits for ECS stability +``` + +`deploy.sh` prompts for `openai_api_key`, `vpc_id` and `private_subnet_ids` unless you add them to +`terraform.tfvars` or pass them as `-var` flags. + +Take the `agent_invoke_url` output; everything below assumes: + +```bash +export AK_TEST_ENDPOINT="$(terraform output -raw agent_invoke_url)" +SCHEDULES="${AK_TEST_ENDPOINT%/chat}/schedules" +``` + +## Try it + +Every scheduling request must carry a `user_id` — it is the owner the task is stored under and the +identity later reads and changes are checked against. + +**Defer a chat to a one-time moment.** `at` is a local wall-clock timestamp read in `timezone`, and +must be in the future: + +```bash +curl -i -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send me the daily summary", "session_id": "ses-1", "user_id": "alice", + "schedule": {"at": "2035-01-31T09:00:00", "timezone": "Asia/Colombo"}}' +``` + +The acknowledgement comes back as **202**, not 200 — the request was accepted, not executed. The +status survives the queue round trip because the agent runner forwards it as a `status_code` +attribute and the output consumer stores it: + +``` +HTTP/1.1 202 Accepted + +{"result":"{\"status\": \"SCHEDULED\", \"scheduled_task_id\": \"74ca19a5-...\", \"session_id\": \"ses-1\"}","session_id":"ses-1"} +``` + +**Defer a recurring chat.** `cron` is a standard 5-field expression; `session_mode: new` runs each +occurrence in its own fresh session: + +```bash +curl -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "session_id": "ses-2", "user_id": "alice", + "schedule": {"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}}' +``` + +**List, read, amend, cancel:** + +```bash +curl "$SCHEDULES?user_id=alice" +curl "$SCHEDULES/" + +# PUT replaces the full amendable state rather than merging — send every value, changed or not. +# `status` is the paused/active switch: a paused schedule keeps its record but stops firing. +curl -X PUT "$SCHEDULES/" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "cron": "0 8 * * 1", "timezone": "Asia/Colombo", + "session_mode": "new", "status": "paused"}' + +# The record survives as the audit trail, so this returns the task with "status": "cancelled". +curl -X DELETE "$SCHEDULES/" +``` + +**Let the agent schedule the work itself.** This runs now; the agent calls `create_schedule` and +replies with the task id, which then shows up in the listing: + +```bash +curl -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts.", + "session_id": "ses-3", "user_id": "alice"}' +``` + +The five tools (`create_schedule`, `list_schedules`, `get_schedule`, `update_schedule`, +`delete_schedule`) and their guidance are injected into the system prompt automatically — the agent +definition never describes them. Each acts as the **acting user**, so an agent can never reach +another user's schedules. + +**Watch an occurrence fire.** Schedule something a couple of minutes out and tail the agent runner: + +```bash +aws logs tail "/ecs/---agent-runner" --follow +``` + +A fired occurrence arrives as a plain chat request carrying `scheduled_task_id`, `request_id` and +`scheduled_time` **in the body** (EventBridge Scheduler cannot set SQS message attributes, so the +runners fall back to the body), and with **no** `schedule` key — otherwise firing a schedule would +register another one. Afterwards the record shows `trigger_count`, `last_triggered_at` and +`last_request_id`; a fired one-time task reads back as `"status": "completed"`. + +## Inspect the AWS side + +```bash +GROUP=$(cd deploy && terraform output -raw schedule_group_name) +aws scheduler list-schedules --group-name "$GROUP" +aws scheduler get-schedule --group-name "$GROUP" --name "ak-" +``` + +A one-time schedule carries `ActionAfterCompletion: DELETE`, so AWS retires it after it fires; the +store record remains the audit trail, and cancelling an already-fired task still succeeds. + +## Tests + +`app_test.py` is an integration suite against the deployed stack. It creates real EventBridge +schedules and cancels them afterwards; it does **not** wait for an occurrence to fire (a schedule +far enough out to be safe is also too far to await), so it covers registration, the 202 contract, +the management surface, validation rejection, and the agent-tool path. + +```bash +export AK_TEST_ENDPOINT="$(cd deploy && terraform output -raw agent_invoke_url)" +uv run pytest -s +``` + +## Tear down + +```bash +cd deploy && terraform destroy +``` + +`terraform destroy` removes the schedule **group**, not the individual schedules the application +registered inside it. Cancel outstanding tasks first (`DELETE /api/v1/schedules/{task_id}`), or +delete the group's schedules directly, otherwise the group deletion fails on a non-empty group: + +```bash +aws scheduler list-schedules --group-name "$GROUP" \ + --query 'Schedules[].Name' --output text | + xargs -n1 -I{} aws scheduler delete-schedule --group-name "$GROUP" --name {} +``` + +## Related + +- Scheduling guide: +- Local-only equivalent (no AWS, `local` provider + `in_memory` store): + `examples/api/schedule-openai` +- Serverless equivalent: `examples/aws-serverless/schedule-openai` diff --git a/examples/aws-containerized/openai-schedule/app_agent_runner.py b/examples/aws-containerized/openai-schedule/app_agent_runner.py new file mode 100644 index 000000000..2575e152f --- /dev/null +++ b/examples/aws-containerized/openai-schedule/app_agent_runner.py @@ -0,0 +1,26 @@ +"""Agent runner entrypoint: polls the Input Queue, runs the agent, sends to the Output Queue. + +Nothing here mentions scheduling. The `schedule` block in config.yaml is the whole switch — it +makes this process both the one that executes a fired occurrence (an occurrence arrives on the +Input Queue as a plain chat request) and the one that registers new tasks, whether the request +carried a `schedule` block or the agent called `create_schedule` itself. +""" + +from agentkernel.aws import ECSAgentRunner +from agentkernel.openai import OpenAIModule +from agents import Agent + +reminder_agent = Agent( + name="assistant", + instructions="You are a helpful assistant. When the user asks for something to happen later or on a " + "recurring basis, register it with the scheduling tools rather than answering as if it had " + "already run, and tell the user the task id you registered. When a scheduled prompt reaches " + "you, answer it normally — it is a plain request.", +) + +OpenAIModule([reminder_agent]) + +handler = ECSAgentRunner.run + +if __name__ == "__main__": + handler() diff --git a/examples/aws-containerized/openai-schedule/app_rest_service.py b/examples/aws-containerized/openai-schedule/app_rest_service.py new file mode 100644 index 000000000..95bed172c --- /dev/null +++ b/examples/aws-containerized/openai-schedule/app_rest_service.py @@ -0,0 +1,52 @@ +"""REST service entrypoint: chat ingress plus the scheduled-task management routes. + +`ECSIOHandler.run()` would be enough for chat alone, but it builds the FastAPI app from +`AWSRestAPI`'s default handlers, which do not include `ScheduleRESTRequestHandler`. This module +composes the same two peer threads ECSIOHandler runs — the REST API and the output-queue +consumer — with the schedule routes added to the app, using only public API. +""" + +from agentkernel.aws import AWSRestAPI, ECSOutputConsumer +from agentkernel.pipeline import ThreadRunner +from agentkernel.schedule import ScheduleRESTRequestHandler + + +class ScheduleAwareRestAPI(AWSRestAPI): + """AWSRestAPI plus the schedule management routes. + + The inherited default handler enqueues chat requests to SQS (validation and execution happen + in the agent runner). ScheduleRESTRequestHandler is served in this process instead: it talks + to the shared DynamoDB task store and EventBridge Scheduler directly, so a listing or a + cancellation does not need a round trip through the queues. + + Pass `authoriser=` to protect the routes; without one they are open and accept any `user_id`. + """ + + @classmethod + def get_default_handlers(cls): + return AWSRestAPI.get_default_handlers() + [ScheduleRESTRequestHandler()] + + +def main() -> None: + ThreadRunner.run( + tasks=[ + ThreadRunner.Task( + execution_function=ScheduleAwareRestAPI.run, + thread_name="rest-api", + stop_all_on_failure=True, + graceful=True, + # uvicorn.run() only stops on an OS signal, so it cannot report completion. + awaited_on_shutdown=False, + ), + ThreadRunner.Task( + execution_function=lambda: ECSOutputConsumer.run(), + thread_name="output-queue-consumer", + stop_all_on_failure=True, + ), + ], + max_workers=2, + ) + + +if __name__ == "__main__": + main() diff --git a/examples/aws-containerized/openai-schedule/app_test.py b/examples/aws-containerized/openai-schedule/app_test.py new file mode 100644 index 000000000..18d369ac6 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/app_test.py @@ -0,0 +1,183 @@ +"""Tests for the deployed scheduling example. + +Set AK_TEST_ENDPOINT to the module's `agent_invoke_url` output (the chat route). The schedule +management routes are derived from it, so both live behind the same API Gateway stage. + +These are integration tests against a real deployment: they create real EventBridge schedules and +clean up after themselves. Nothing here waits for an occurrence to actually fire — a schedule far +enough in the future to be safe is also too far away to await, so the assertions cover the +registration, the 202 contract, and the management surface. +""" + +import os +import uuid + +import httpx +import pytest +import pytest_asyncio + +pytestmark = pytest.mark.asyncio(loop_scope="session") + +USER_ID = "alice" +# Deliberately far in the future: the assertions never wait for a firing. +FUTURE_AT = "2035-01-31T09:00:00" + + +class ScheduleTestClient: + """Thin client over the chat route and the schedule management routes.""" + + def __init__(self, chat_url: str): + self.chat_url = chat_url.rstrip("/") + # /api/v1/chat -> /api/v1/schedules + self.schedules_url = self.chat_url.rsplit("/", 1)[0] + "/schedules" + self.session_id = str(uuid.uuid4()) + + async def chat(self, prompt: str, schedule: dict | None = None) -> httpx.Response: + payload = {"prompt": prompt, "session_id": self.session_id, "user_id": USER_ID} + if schedule is not None: + payload["schedule"] = schedule + async with httpx.AsyncClient(timeout=60.0) as client: + return await client.post(self.chat_url, json=payload) + + async def list_schedules(self) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.get(self.schedules_url, params={"user_id": USER_ID}) + + async def get_schedule(self, task_id: str) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.get(f"{self.schedules_url}/{task_id}") + + async def amend_schedule(self, task_id: str, body: dict) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.put(f"{self.schedules_url}/{task_id}", json=body) + + async def cancel_schedule(self, task_id: str) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.delete(f"{self.schedules_url}/{task_id}") + + +@pytest_asyncio.fixture(scope="session", loop_scope="session") +async def client(): + endpoint = os.getenv("AK_TEST_ENDPOINT") + assert endpoint, "Set AK_TEST_ENDPOINT to the deployment's agent_invoke_url" + yield ScheduleTestClient(endpoint) + + +@pytest_asyncio.fixture(scope="session", loop_scope="session", autouse=True) +async def cleanup(client): + """Cancel every schedule this user still owns, however the tests ended. + + Not tidiness: `terraform destroy` deletes the EventBridge schedule *group*, and AWS refuses to + delete a group that still holds schedules. A test that fails midway would otherwise leave one + behind and break the next run's destroy step, so this runs even on failure. + """ + yield + listing = await client.list_schedules() + if listing.status_code != 200: + return + for task in listing.json().get("schedules", []): + if task["status"] in ("active", "paused"): + await client.cancel_schedule(task["task_id"]) + + +def _task_id_of(response: httpx.Response) -> str: + """Pull the task id out of a 202 acknowledgement, whose `result` is a JSON string.""" + import json + + ack = json.loads(response.json()["result"]) + assert ack["status"] == "SCHEDULED", ack + return ack["scheduled_task_id"] + + +@pytest.mark.asyncio +@pytest.mark.order(1) +async def test_a_plain_chat_still_runs_immediately(client): + response = await client.chat("Say the single word: ready") + assert response.status_code == 200 + assert response.json().get("result") + + +@pytest.mark.asyncio +@pytest.mark.order(2) +async def test_a_one_time_schedule_is_acknowledged_with_202(client): + response = await client.chat( + "Send me the daily summary", + schedule={"at": FUTURE_AT, "timezone": "Asia/Colombo"}, + ) + # 202, not 200: the request was accepted, not executed. The status survives the queue round + # trip as the `status_code` attribute the agent runner forwards. + assert response.status_code == 202, response.text + task_id = _task_id_of(response) + + read = await client.get_schedule(task_id) + assert read.status_code == 200 + task = read.json() + assert task["status"] == "active" + assert task["spec"]["at"] == FUTURE_AT + assert task["user_id"] == USER_ID + assert task["trigger_count"] == 0 + + assert (await client.cancel_schedule(task_id)).json()["status"] == "cancelled" + + +@pytest.mark.asyncio +@pytest.mark.order(3) +async def test_a_recurring_schedule_can_be_amended_and_cancelled(client): + response = await client.chat( + "Send the weekly report", + schedule={"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}, + ) + assert response.status_code == 202, response.text + task_id = _task_id_of(response) + + # PUT replaces the full amendable state rather than merging, so every value is sent. + amended = await client.amend_schedule( + task_id, + { + "prompt": "Send the weekly report", + "cron": "0 8 * * 1", + "timezone": "Asia/Colombo", + "session_mode": "new", + "status": "paused", + }, + ) + assert amended.status_code == 200, amended.text + assert amended.json()["spec"]["cron"] == "0 8 * * 1" + assert amended.json()["status"] == "paused" + + listing = await client.list_schedules() + assert listing.status_code == 200 + assert task_id in [task["task_id"] for task in listing.json()["schedules"]] + + # The record survives cancellation as the audit trail. + cancelled = await client.cancel_schedule(task_id) + assert cancelled.status_code == 200 + assert cancelled.json()["status"] == "cancelled" + + +@pytest.mark.asyncio +@pytest.mark.order(4) +async def test_an_unusable_schedule_is_rejected_at_creation(client): + response = await client.chat( + "Send me the daily summary", + schedule={"at": "2020-01-01T09:00:00"}, + ) + # Rejected at creation rather than silently never firing. + assert response.status_code == 400, response.text + + +@pytest.mark.asyncio +@pytest.mark.order(5) +async def test_the_agent_can_schedule_work_itself(client): + # Runs now; the agent is expected to call create_schedule rather than answer as if it had run. + response = await client.chat( + "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts.", + ) + assert response.status_code == 200, response.text + + listing = await client.list_schedules() + active = [task for task in listing.json()["schedules"] if task["status"] == "active"] + assert active, "expected the agent to have registered a schedule via create_schedule" + + for task in active: + await client.cancel_schedule(task["task_id"]) diff --git a/examples/aws-containerized/openai-schedule/build.sh b/examples/aws-containerized/openai-schedule/build.sh new file mode 100755 index 000000000..eb7b3c3b0 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/build.sh @@ -0,0 +1,16 @@ +#!/bin/bash +set -e + +set -euo pipefail +if command -v pyenv >/dev/null 2>&1; then + uv venv --python "$(pyenv which python)" --allow-existing +else + uv venv --allow-existing +fi + +if [[ ${1-} != "local" ]]; then + uv sync --all-extras +else + uv sync --find-links ../../../ak-py/dist --all-extras + uv pip install --force-reinstall --find-links ../../../ak-py/dist agentkernel[api,openai,aws,cron,test] +fi \ No newline at end of file diff --git a/examples/aws-containerized/openai-schedule/config.yaml b/examples/aws-containerized/openai-schedule/config.yaml new file mode 100644 index 000000000..2c735afd4 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/config.yaml @@ -0,0 +1,49 @@ +logging: + ak: + level: DEBUG + +session: + type: dynamodb + dynamodb: + table_name: "" # injected by Terraform via AK_SESSION__DYNAMODB__TABLE_NAME + +# The presence of this block enables the scheduling capability. Both `type` values must be +# declared here: Terraform injects the group/role/queue/table coordinates but never a `type`, so +# omitting them would silently leave scheduling on the in-process `local` provider and the +# `in_memory` store while the provisioned group and table sat unused. +schedule: + provider: + type: eventbridge + eventbridge: + group_name: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME + role_arn: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN + queue_arn: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN + store: + type: dynamodb + dynamodb: + table_name: "" # injected via AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME + ttl: 0 # 0 disables expiry: a task that vanished would stop firing silently + # agents: [assistant] # restrict the schedule tools to named agents; omitted = all agents + +# Scheduling requires the queue pipeline: EventBridge Scheduler delivers each occurrence into the +# Input Queue, which is where the agent runner picks it up. +execution: + mode: rest_sync + queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs + input: + url: "" # injected by Terraform via AK_EXECUTION__QUEUES__INPUT__URL + max_receive_count: 4 + output: + url: "" # injected by Terraform via AK_EXECUTION__QUEUES__OUTPUT__URL + max_receive_count: 4 + response_store: + type: dynamodb + retry_count: 10 + delay: 3 + dynamodb: + table_name: "" # injected via AK_EXECUTION__RESPONSE_STORE__DYNAMODB__TABLE_NAME + ttl: 300 diff --git a/examples/aws-containerized/openai-schedule/deploy/.terraform.lock.hcl b/examples/aws-containerized/openai-schedule/deploy/.terraform.lock.hcl new file mode 100644 index 000000000..13eb2adbf --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/.terraform.lock.hcl @@ -0,0 +1,88 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/archive" 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000000000..636d96f63 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/Dockerfile.agent-runner @@ -0,0 +1,6 @@ +FROM python:3.12-slim + +WORKDIR /app +COPY data/ /app/ + +CMD ["python", "app_agent_runner.py"] diff --git a/examples/aws-containerized/openai-schedule/deploy/Dockerfile.rest-service b/examples/aws-containerized/openai-schedule/deploy/Dockerfile.rest-service new file mode 100644 index 000000000..512cacaeb --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/Dockerfile.rest-service @@ -0,0 +1,8 @@ +FROM python:3.12-slim + +WORKDIR /app +COPY data/ /app/ + +EXPOSE 8000 + +CMD ["python", "app_rest_service.py"] diff --git a/examples/aws-containerized/openai-schedule/deploy/deploy.sh b/examples/aws-containerized/openai-schedule/deploy/deploy.sh new file mode 100755 index 000000000..86e01c462 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/deploy.sh @@ -0,0 +1,77 @@ +#!/bin/bash + +set -e + +create_deployment_packages() { + pushd ../ + + uv export --no-hashes > requirements.txt + + # REST Service dist + rm -rf dist-rest-service + mkdir -p dist-rest-service/data + if [[ ${1-} != "local" ]]; then + uv pip install -r requirements.txt --target=dist-rest-service/data + else + uv pip install -r requirements.txt --target=dist-rest-service/data --find-links ../../../ak-py/dist + uv pip install --force-reinstall --no-deps --no-index --target=dist-rest-service/data --find-links ../../../ak-py/dist agentkernel[api,openai,aws,cron,test] + fi + cp config.yaml app_rest_service.py dist-rest-service/data/ + + # Agent Runner dist + rm -rf dist-agent-runner + mkdir -p dist-agent-runner/data + if [[ ${1-} != "local" ]]; then + uv pip install -r requirements.txt --target=dist-agent-runner/data + else + uv pip install -r requirements.txt --target=dist-agent-runner/data --find-links ../../../ak-py/dist + uv pip install --force-reinstall --no-deps --no-index --target=dist-agent-runner/data --find-links ../../../ak-py/dist agentkernel[api,openai,aws,cron,test] + fi + cp config.yaml app_agent_runner.py dist-agent-runner/data/ + + rm -f requirements.txt + popd || exit 1 + + # Copy Dockerfiles into dist directories (must run from deploy/ after popd) + cp Dockerfile.rest-service ../dist-rest-service/Dockerfile + cp Dockerfile.agent-runner ../dist-agent-runner/Dockerfile +} +function read_tfvar() { + awk -F'=' -v k="$1" '$1 ~ "^[[:space:]]*"k"[[:space:]]*$" {gsub(/[" ]/, "", $2); print $2; exit}' terraform.tfvars +} + +function wait_for_ecs_stable() { + local region product_alias env_alias module_name cluster services + region=$(read_tfvar region) + product_alias=$(read_tfvar product_alias) + env_alias=$(read_tfvar env_alias) + module_name=$(read_tfvar module_name) + cluster="${product_alias}-${env_alias}-${module_name}" + + echo "Resolving ECS services in cluster '${cluster}' (region ${region})..." + services=$(aws ecs list-services --cluster "$cluster" --region "$region" \ + --query 'serviceArns' --output text) + if [[ -z "$services" || "$services" == "None" ]]; then + echo "Could not find any ECS service in cluster '${cluster}'" + return 1 + fi + + echo "Waiting for ECS services to become stable: ${services}" + if ! aws ecs wait services-stable --cluster "$cluster" --services $services --region "$region"; then + echo "ECS services did not reach a stable state" + return 1 + fi + echo "ECS services are stable and serving traffic." +} + +pushd ../../../../ak-py || exit 1 +rm -rf dist +./build.sh local +popd + +create_deployment_packages $1 + +terraform init +terraform apply + +wait_for_ecs_stable diff --git a/examples/aws-containerized/openai-schedule/deploy/main.tf b/examples/aws-containerized/openai-schedule/deploy/main.tf new file mode 100644 index 000000000..145707671 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/main.tf @@ -0,0 +1,124 @@ +# --------------------------------------------------------------------------- +# Containerized Agents Deployment — scheduled and recurring chats +# --------------------------------------------------------------------------- +module "containerized_agents" { + source = "yaalalabs/ak-containerized/aws" + version = "0.8.1" + + providers = { aws = aws, docker = docker } + product_alias = var.product_alias + env_alias = var.env_alias + module_name = var.module_name + region = var.region + product_display_name = "OpenAI Agents - Scheduled Chats" + + vpc_id = var.vpc_id + private_subnet_ids = var.private_subnet_ids + + # ---- REST Service Configuration ---- + # Serves chat ingress (enqueue + poll) and the schedule management routes. + rest_service = { + package_path = "../dist-rest-service" + cpu = 256 + memory = 512 + desired_count = 1 + container_port = 8000 + health_check_endpoint = "/health" + command = ["python", "app_rest_service.py"] + environment_variables = { + OPENAI_API_KEY = var.openai_api_key + } + } + + # ---- Agent Memory (Session Store) ---- + create_dynamodb_memory_table = true + + # ---- Queue Mode ---- + # Mandatory for scheduling: EventBridge Scheduler delivers each occurrence to the Input Queue. + queue_mode = true + execution_mode = "rest_sync" + + # ---- Scheduling ---- + # enable_scheduling provisions the EventBridge Scheduler schedule group and the execution role + # Scheduler assumes to send triggers to the Input Queue, grants both task roles + # scheduler:*Schedule + iam:PassRole on them, injects the three + # AK_SCHEDULE__PROVIDER__EVENTBRIDGE__* variables, and flips the Input Queue to + # content-based deduplication (Scheduler cannot set a MessageDeduplicationId). + # + # create_dynamodb_schedule_table provisions the task store (partition task_id, no sort key) and + # injects AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME. + # + # Neither flag injects a `type` — config.yaml declares + # `schedule.provider.type: eventbridge` and `schedule.store.type: dynamodb`. + enable_scheduling = true + create_dynamodb_schedule_table = true + + # ---- API Gateway routes ---- + # The gateway only proxies paths registered here. The chat route is added by the module; the + # schedule management routes must be declared. `overwrite_path` is the backend path the ALB is + # given: it is required and must be non-empty, so each route maps onto *itself* — FastAPI has to + # see the real /api/v1/schedules... path that ScheduleRESTRequestHandler declares. + # $request.path.task_id is an API Gateway parameter-mapping expression that carries the path + # parameter through unchanged. + api_version = "v1" + api_base_path = "api" + agent_endpoint = "chat" + + gateway_endpoints = [ + { + path = "schedules" + method = "ANY" # GET (list) + overwrite_path = "/api/v1/schedules" + }, + { + path = "schedules/{task_id}" + method = "ANY" # GET (read), PUT (amend), DELETE (cancel) + overwrite_path = "/api/v1/schedules/$request.path.task_id" + }, + ] + + # ---- Queue Configuration ---- + queue_config = { + input_queue_visibility_timeout = 120 # >= agent processing time + input_queue_message_retention_seconds = 1800 + input_queue_max_receive_count = 3 + input_queue_create_dlq = true + + output_queue_visibility_timeout = 60 + output_queue_message_retention_seconds = 1800 + output_queue_max_receive_count = 3 + output_queue_create_dlq = true + + sqs_managed_sse_enabled = true + max_message_size = 262144 + receive_wait_time_seconds = 0 + } + + # ---- Agent Runner Configuration ---- + # Runs fired occurrences and hosts the create_schedule/update_schedule/delete_schedule tools. + agent_runner = { + cpu = 1024 + memory = 2048 + desired_count = 1 + package_path = "../dist-agent-runner" + command = ["python", "app_agent_runner.py"] + environment_variables = { + OPENAI_API_KEY = var.openai_api_key + } + } + + # ---- Agent Runner Auto Scaling ---- + scaling_config = { + enabled = true + min_count = 1 + max_count = 10 + backlog_target = 10 + scale_in_cooldown = 120 + scale_out_cooldown = 30 + } + + tags = { + Example = "openai-schedule" + Environment = var.env_alias + } +} diff --git a/examples/aws-containerized/openai-schedule/deploy/outputs.tf b/examples/aws-containerized/openai-schedule/deploy/outputs.tf new file mode 100644 index 000000000..5c34b9406 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/outputs.tf @@ -0,0 +1,46 @@ +output "agent_invoke_url" { + description = "POST to this URL to chat with the agent, with or without a `schedule` block" + value = module.containerized_agents.agent_invoke_url +} + +output "input_queue_url" { + description = "SQS Input Queue URL — EventBridge Scheduler delivers each occurrence here" + value = module.containerized_agents.input_queue_url +} + +output "output_queue_url" { + description = "SQS Output Queue URL" + value = module.containerized_agents.output_queue_url +} + +output "response_store_table_name" { + description = "DynamoDB Response Store table name" + value = module.containerized_agents.response_store_table_name +} + +output "agent_runner_service_name" { + description = "ECS Agent Runner service name" + value = module.containerized_agents.agent_runner_service_name +} + +# Scheduling resources + +output "schedule_group_name" { + description = "EventBridge Scheduler schedule-group name each task registers its schedule in" + value = module.containerized_agents.schedule_group_name +} + +output "schedule_group_arn" { + description = "EventBridge Scheduler schedule-group ARN" + value = module.containerized_agents.schedule_group_arn +} + +output "scheduler_execution_role_arn" { + description = "Role EventBridge Scheduler assumes to deliver triggers to the Input Queue" + value = module.containerized_agents.scheduler_execution_role_arn +} + +output "schedule_table_name" { + description = "DynamoDB schedule store table name" + value = module.containerized_agents.schedule_table_name +} diff --git a/examples/aws-containerized/openai-schedule/deploy/providers.tf b/examples/aws-containerized/openai-schedule/deploy/providers.tf new file mode 100644 index 000000000..2ab60ea90 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/providers.tf @@ -0,0 +1,28 @@ +provider "aws" { + region = var.region +} + +data "aws_caller_identity" "current" {} +data "aws_ecr_authorization_token" "token" {} + +provider "docker" { + registry_auth { + address = format("%v.dkr.ecr.%v.amazonaws.com", data.aws_caller_identity.current.account_id, var.region) + username = data.aws_ecr_authorization_token.token.user_name + password = data.aws_ecr_authorization_token.token.password + } +} + +terraform { + required_version = ">= 1.9.5" + required_providers { + aws = { + source = "hashicorp/aws" + version = ">= 6.11.0" + } + docker = { + source = "kreuzwerker/docker" + version = "3.6.2" + } + } +} diff --git a/examples/aws-containerized/openai-schedule/deploy/terraform.tfvars b/examples/aws-containerized/openai-schedule/deploy/terraform.tfvars new file mode 100644 index 000000000..15d1eb0a2 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/terraform.tfvars @@ -0,0 +1,4 @@ +region = "ap-southeast-2" +product_alias = "ak-oai-sch-ecs" +env_alias = "dev" +module_name = "schedule" diff --git a/examples/aws-containerized/openai-schedule/deploy/variables.tf b/examples/aws-containerized/openai-schedule/deploy/variables.tf new file mode 100644 index 000000000..701e5adde --- /dev/null +++ b/examples/aws-containerized/openai-schedule/deploy/variables.tf @@ -0,0 +1,40 @@ +variable "region" { + type = string + description = "Region" +} + +variable "product_alias" { + type = string + description = "Product alias" +} + +variable "env_alias" { + type = string + description = "Environment alias" +} + +variable "module_name" { + type = string + description = "module name" +} + +variable "is_production" { + description = "Is production" + type = bool + default = false +} + +variable "openai_api_key" { + description = "OpenAI API Key" + type = string +} + +variable "vpc_id" { + description = "VPC ID for ECS deployment" + type = string +} + +variable "private_subnet_ids" { + description = "List of private subnet IDs for ECS deployment" + type = list(string) +} \ No newline at end of file diff --git a/examples/aws-containerized/openai-schedule/pyproject.toml b/examples/aws-containerized/openai-schedule/pyproject.toml new file mode 100644 index 000000000..04ecff646 --- /dev/null +++ b/examples/aws-containerized/openai-schedule/pyproject.toml @@ -0,0 +1,35 @@ +[project] +name = "aws-containerized-openai-schedule" +version = "0.1.0" +description = "Demo of scheduled and recurring chats in Agent Kernel on AWS ECS, using EventBridge Scheduler and DynamoDB" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "agentkernel[openai,api,aws,cron]>=0.8.1" +] + +[dependency-groups] +dev = [ + "agentkernel[test]>=0.8.1", + "black>=23.0.0", + "isort>=5.0.0", + "mypy>=1.0.0", +] + +[tool.uv] +package = false + +[tool.isort] +profile = "black" +line_length = 120 + 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b/examples/aws-containerized/openai-stream-queue-mode/config.yaml @@ -10,6 +10,10 @@ session: execution: mode: stream queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: url: "" # injected by Terraform via AK_EXECUTION__QUEUES__INPUT__URL max_receive_count: 4 diff --git a/examples/aws-containerized/openai-websocket-scalable/config.yaml b/examples/aws-containerized/openai-websocket-scalable/config.yaml index 221f70b87..fefc59236 100644 --- a/examples/aws-containerized/openai-websocket-scalable/config.yaml +++ b/examples/aws-containerized/openai-websocket-scalable/config.yaml @@ -10,6 +10,10 @@ session: execution: mode: async queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: url: "" # injected by Terraform via AK_EXECUTION__QUEUES__INPUT__URL max_receive_count: 4 diff --git a/examples/aws-serverless/scalable-openai/config.yaml b/examples/aws-serverless/scalable-openai/config.yaml index 63d7885cd..ccb3f34a8 100644 --- a/examples/aws-serverless/scalable-openai/config.yaml +++ b/examples/aws-serverless/scalable-openai/config.yaml @@ -9,6 +9,10 @@ session: execution: mode: rest_sync queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: # url: "https://sqs..amazonaws.com//" max_receive_count: 3 diff --git a/examples/aws-serverless/schedule-openai/.gitignore b/examples/aws-serverless/schedule-openai/.gitignore new file mode 100644 index 000000000..6aa6d1677 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/.gitignore @@ -0,0 +1,5 @@ +.terraform +requirements.txt +dist* +*.tfstate +*.tfstate.backup \ No newline at end of file diff --git a/examples/aws-serverless/schedule-openai/README.md b/examples/aws-serverless/schedule-openai/README.md new file mode 100644 index 000000000..0b58d0ba1 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/README.md @@ -0,0 +1,289 @@ +# Agent Kernel Scheduled & Recurring Chats on AWS Lambda + +This package demonstrates the Agent Kernel **scheduling capability** deployed on AWS Lambda: a chat +request carrying a `schedule` block is not run — it is registered as a scheduled task and +acknowledged with **HTTP 202**. When an occurrence is due, AWS EventBridge Scheduler delivers the +stored prompt into the Input Queue as a plain chat request, and the agent-runner Lambda executes it +through the normal path. + +Nothing in `lambda_agent_runner.py` mentions scheduling. The `schedule` block in `config.yaml` is +the whole switch. + +## Architecture Overview + +- **Request-handler Lambda** — chat ingress (enqueue + poll the response store) plus the custom + scheduled-task management routes (see [Management routes are custom + here](#management-routes-are-custom-here)). +- **Agent-runner Lambda** — triggered by the Input Queue event source mapping. It runs fired + occurrences *and* registers new tasks, whether the request carried a `schedule` block or the agent + called `create_schedule` itself. +- **Response-handler Lambda** — triggered by the Output Queue, writes replies to the response store. +- **EventBridge Scheduler** — owns the timers. One schedule per task, named `ak-`, inside a + schedule group Terraform provisions, targeting the Input Queue. +- **DynamoDB** — session store, response store, and the **schedule store** holding task records. + +``` +POST /api/v1/chat {"schedule": {...}} POST /api/v1/chat (no schedule) + | | + Request Handler --> Input Queue --> Agent Runner --> Output Queue --> Response Handler + | ^ | | + | | +--> registers ak- in the | + | | group, writes the record | + | EventBridge Scheduler v + | (fires each occurrence) Response Store + | | + +-- polls the response store for the reply (rest_sync) ---------------+ + | + GET /schedules, /schedules/get, POST /schedules/amend, /schedules/cancel + (custom Lambda.register routes -> ScheduleManager, direct, no queue round trip) +``` + +## Deployed Resources + +- **Lambda functions**: request handler and response handler in **zip mode** (`LocalZip`), agent + runner in **image mode** (`Image`) with an ECR repository Terraform creates and pushes to +- **SQS**: FIFO input and output queues. The input queue runs with **content-based deduplication** — + see [Why the input queue changes](#why-the-input-queue-changes) +- **EventBridge Scheduler**: a schedule group plus the execution role Scheduler assumes to send to + the input queue +- **DynamoDB**: session store, response store, schedule store (partition `task_id`, no sort key) +- **IAM**: `scheduler:{Create,Update,Delete,Get}Schedule` + `iam:PassRole` on both the + request-handler and agent-runner roles +- **API Gateway**: REST API with the chat route and the four management routes + +## The two-step enablement + +Scheduling needs Terraform **and** `config.yaml` to agree, exactly like thread storage: + +1. **`deploy/main.tf`** sets the flags, which provision the backends and inject their coordinates: + + ```hcl + queue_mode = true # mandatory: occurrences arrive on the Input Queue + enable_scheduling = true + create_dynamodb_schedule_table = true + ``` + +2. **`config.yaml`** declares *which* backends to use: + + ```yaml + schedule: + provider: + type: eventbridge + store: + type: dynamodb + ``` + +Terraform injects `AK_SCHEDULE__PROVIDER__EVENTBRIDGE__{GROUP_NAME,ROLE_ARN,QUEUE_ARN}` and +`AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME`, but never a `type`. Setting the flags **without** the +`config.yaml` block leaves scheduling on the in-process `local` provider and `in_memory` store — +neither of which survives a Lambda invocation — while the provisioned group and table sit unused, +with no error. The reverse mistake is safe: declaring the types without the flags fails at startup +with an `AKConfigError` on the missing coordinates. + +## Management routes are custom here + +This is the one real difference from the containerized target. `ScheduleRESTRequestHandler` is a +FastAPI `APIRouter`, and the serverless target's router is **not** FastAPI — it is a hand-rolled +path/method table — so it cannot be mounted. `lambda_request_handler.py` exposes management through +`Lambda.register` routes that call `ScheduleManager` directly, which is the same object the REST +handler wraps. + +Two consequences of the router matching paths exactly: + +- **No `{task_id}` path parameters.** The task id travels as a query parameter or in the body. +- **Every path must also be declared in `gateway_endpoints`** in `deploy/main.tf`, or it 404s at the + gateway. + +| This example | Containerized / self-hosted equivalent | +|---|---| +| `GET /api/v1/schedules?user_id=` | `GET /api/v1/schedules` | +| `GET /api/v1/schedules/get?user_id=&task_id=` | `GET /api/v1/schedules/{task_id}` | +| `POST /api/v1/schedules/amend` (task_id in body) | `PUT /api/v1/schedules/{task_id}` | +| `POST /api/v1/schedules/cancel` (task_id in body) | `DELETE /api/v1/schedules/{task_id}` | + +Creation is deliberately absent from both, identically: a task is created by the `schedule` block on +a chat request or by the agent's own `create_schedule` tool, so callers and agents share one path. + +**Ownership in this example is taken from the request**, not from a token — `user_id` is a query +parameter or body field. That is fine for a demo and wrong for production: resolve the caller from +an API Gateway authorizer (see `examples/aws-serverless/openai-auth`) and ignore any client-supplied +`user_id`. On the containerized target this is what an `Authoriser` on +`ScheduleRESTRequestHandler` does for you. + +## Why the input queue changes + +`enable_scheduling` flips the **Input Queue** to `content_based_deduplication = true` (an in-place +update; the output queue is untouched). EventBridge Scheduler cannot set a +`MessageDeduplicationId`, so SQS must derive one from the body. + +That is safe because no two occurrences ever produce the same body: the trigger body carries +`request_id` and `scheduled_time` as EventBridge context attributes +(``, ``) which AWS resolves per firing. +Application senders are unaffected — they always send an explicit `MessageDeduplicationId`, which +takes precedence. + +## Prerequisites + +- An AWS account with permissions for Lambda, ECR, SQS, DynamoDB, EventBridge Scheduler, IAM, API + Gateway and VPC resources +- Terraform >= 1.9.5, the AWS CLI, `uv`, `zip`, and a running Docker daemon (the agent runner image + is built and pushed during `terraform apply`) +- An `OPENAI_API_KEY` +- A VPC and private subnets + +## Deploy + +Set the deployment identifiers in `deploy/terraform.tfvars`, then: + +```bash +./build.sh # or ./build.sh local to build against a local ak-py dist +cd deploy +./deploy.sh # packages all three functions, terraform init + apply +``` + +`deploy.sh` zips the request and response handlers into `dist_request_handler.zip` / +`dist_response_handler.zip`, and stages the agent runner into `dist_agent_runner/` (dependencies +and entrypoint under `data/`, plus the `Dockerfile.agent_runner` it copies in as `Dockerfile`) for +Terraform to build. Pass `local` (`./deploy.sh local`) to install `agentkernel` from +`../../../ak-py/dist` instead of PyPI. + +### Why the agent runner is an image + +Lambda caps a zip-deployed function at **250 MB unzipped**. The agent runner carries +`agentkernel[aws,openai,cron]` including the OpenAI Agents SDK, which does not fit — hence +`package_type = "Image"` for that one function. The request and response handlers stay small by +design: their `pyproject.toml` extras omit the OpenAI SDK entirely, since they only enqueue and +dequeue work, so they stay on zip mode. `deploy.sh` prints their zipped and unzipped sizes and +warns if either one starts to approach the limit. + +```bash +export AK_TEST_ENDPOINT="$(terraform output -raw agent_invoke_url)" +SCHEDULES="${AK_TEST_ENDPOINT%/chat}/schedules" +``` + +## Try it + +Every scheduling request must carry a `user_id` — it is the owner the task is stored under and the +identity later reads and changes are checked against. + +**Defer a chat to a one-time moment.** `at` is a local wall-clock timestamp read in `timezone`, and +must be in the future: + +```bash +curl -i -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send me the daily summary", "session_id": "ses-1", "user_id": "alice", + "schedule": {"at": "2035-01-31T09:00:00", "timezone": "Asia/Colombo"}}' +``` + +The acknowledgement comes back as **202**, not 200 — accepted, not executed. The status survives the +queue round trip because the agent runner forwards it and the response store keeps it: + +``` +HTTP/1.1 202 Accepted + +{"result":"{\"status\": \"SCHEDULED\", \"scheduled_task_id\": \"74ca19a5-...\", \"session_id\": \"ses-1\"}","session_id":"ses-1"} +``` + +**Defer a recurring chat.** `cron` is a standard 5-field expression; `session_mode: new` runs each +occurrence in its own fresh session: + +```bash +curl -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Send the weekly report", "session_id": "ses-2", "user_id": "alice", + "schedule": {"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}}' +``` + +**List, read, amend, cancel:** + +```bash +curl "$SCHEDULES?user_id=alice" +curl "$SCHEDULES/get?user_id=alice&task_id=" + +# Full replacement rather than a merge — send every value, changed or not. `status` is the +# paused/active switch: a paused schedule keeps its record but stops firing. +curl -X POST "$SCHEDULES/amend" \ + -H "Content-Type: application/json" \ + -d '{"task_id": "", "user_id": "alice", "prompt": "Send the weekly report", + "cron": "0 8 * * 1", "timezone": "Asia/Colombo", "session_mode": "new", "status": "paused"}' + +# The record survives as the audit trail, so this returns the task with "status": "cancelled". +curl -X POST "$SCHEDULES/cancel" \ + -H "Content-Type: application/json" \ + -d '{"task_id": "", "user_id": "alice"}' +``` + +**Let the agent schedule the work itself.** This runs now; the agent calls `create_schedule` and +replies with the task id, which then shows up in the listing: + +```bash +curl -X POST "$AK_TEST_ENDPOINT" \ + -H "Content-Type: application/json" \ + -d '{"prompt": "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts.", + "session_id": "ses-3", "user_id": "alice"}' +``` + +The five tools (`create_schedule`, `list_schedules`, `get_schedule`, `update_schedule`, +`delete_schedule`) and their guidance are injected into the system prompt automatically — the agent +definition never describes them. Each acts as the **acting user**, so an agent can never reach +another user's schedules. + +**Watch an occurrence fire.** Schedule something a couple of minutes out and tail the runner: + +```bash +aws logs tail "/aws/lambda/--agent-runner-ar-func" --follow +``` + +A fired occurrence arrives as a plain chat request carrying `scheduled_task_id`, `request_id` and +`scheduled_time` **in the body** (EventBridge Scheduler cannot set SQS message attributes, so the +runners fall back to the body), and with **no** `schedule` key — otherwise firing a schedule would +register another one. Afterwards the record shows `trigger_count`, `last_triggered_at` and +`last_request_id`; a fired one-time task reads back as `"status": "completed"`. + +## Inspect the AWS side + +```bash +GROUP=$(cd deploy && terraform output -raw schedule_group_name) +aws scheduler list-schedules --group-name "$GROUP" +aws scheduler get-schedule --group-name "$GROUP" --name "ak-" +``` + +A one-time schedule carries `ActionAfterCompletion: DELETE`, so AWS retires it after it fires; the +store record remains the audit trail, and cancelling an already-fired task still succeeds. + +## Tests + +`lambda_test.py` is an integration suite against the deployed stack. It creates real EventBridge +schedules and cancels them afterwards; it does **not** wait for an occurrence to fire (a schedule +far enough out to be safe is also too far to await), so it covers registration, the 202 contract, +the management surface, validation rejection, and the agent-tool path. Cold starts are retried. + +```bash +export AK_TEST_ENDPOINT="$(cd deploy && terraform output -raw agent_invoke_url)" +uv run pytest -s +``` + +## Tear down + +```bash +cd deploy && terraform destroy +``` + +`terraform destroy` removes the schedule **group**, not the individual schedules the application +registered inside it. Cancel outstanding tasks first, or delete the group's schedules directly, +otherwise the group deletion fails on a non-empty group: + +```bash +aws scheduler list-schedules --group-name "$GROUP" \ + --query 'Schedules[].Name' --output text | + xargs -n1 -I{} aws scheduler delete-schedule --group-name "$GROUP" --name {} +``` + +## Related + +- Scheduling guide: +- Local-only equivalent (no AWS, `local` provider + `in_memory` store): + `examples/api/schedule-openai` +- Containerized equivalent, with the real `ScheduleRESTRequestHandler` routes: + `examples/aws-containerized/openai-schedule` diff --git a/examples/aws-serverless/schedule-openai/build.sh b/examples/aws-serverless/schedule-openai/build.sh new file mode 100755 index 000000000..ecebacd24 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/build.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +set -euo pipefail +if command -v pyenv >/dev/null 2>&1; then + uv venv --python "$(pyenv which python)" --allow-existing +else + uv venv --allow-existing +fi + +if [[ ${1-} != "local" ]]; then + uv sync --all-extras +else + # For local development of agentkernel, you can force reinstall from local dist + uv sync --find-links ../../../ak-py/dist --all-extras + uv pip install --force-reinstall --no-deps --no-index --find-links ../../../ak-py/dist agentkernel[aws,openai,cron,test] || true +fi \ No newline at end of file diff --git a/examples/aws-serverless/schedule-openai/config.yaml b/examples/aws-serverless/schedule-openai/config.yaml new file mode 100644 index 000000000..17538ac8e --- /dev/null +++ b/examples/aws-serverless/schedule-openai/config.yaml @@ -0,0 +1,49 @@ +logging: + ak: + level: DEBUG + +session: + type: dynamodb + dynamodb: + table_name: "" # injected by Terraform via AK_SESSION__DYNAMODB__TABLE_NAME + +# The presence of this block enables the scheduling capability. Both `type` values must be +# declared here: Terraform injects the group/role/queue/table coordinates but never a `type`, so +# omitting them would silently leave scheduling on the in-process `local` provider and the +# `in_memory` store — neither of which survives a Lambda invocation. +schedule: + provider: + type: eventbridge + eventbridge: + group_name: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__GROUP_NAME + role_arn: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__ROLE_ARN + queue_arn: "" # injected via AK_SCHEDULE__PROVIDER__EVENTBRIDGE__QUEUE_ARN + store: + type: dynamodb + dynamodb: + table_name: "" # injected via AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME + ttl: 0 # 0 disables expiry: a task that vanished would stop firing silently + # agents: [assistant] # restrict the schedule tools to named agents; omitted = all agents + +# Scheduling requires the queue pipeline: EventBridge Scheduler delivers each occurrence into the +# Input Queue, which is where the agent-runner Lambda picks it up. +execution: + mode: rest_sync + queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs + input: + # url injected via AK_EXECUTION__QUEUES__INPUT__URL + max_receive_count: 3 + output: + # url injected via AK_EXECUTION__QUEUES__OUTPUT__URL + max_receive_count: 3 + response_store: + type: dynamodb + retry_count: 10 + delay: 3 + dynamodb: + table_name: "" # injected via AK_EXECUTION__RESPONSE_STORE__DYNAMODB__TABLE_NAME + ttl: 300 diff --git a/examples/aws-serverless/schedule-openai/deploy/.terraform.lock.hcl b/examples/aws-serverless/schedule-openai/deploy/.terraform.lock.hcl new file mode 100644 index 000000000..fa7e12c02 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/.terraform.lock.hcl @@ -0,0 +1,110 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/aws" { + version = "6.61.0" + constraints = ">= 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a/examples/aws-serverless/schedule-openai/deploy/Dockerfile.agent_runner b/examples/aws-serverless/schedule-openai/deploy/Dockerfile.agent_runner new file mode 100644 index 000000000..866052198 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/Dockerfile.agent_runner @@ -0,0 +1,5 @@ +FROM public.ecr.aws/lambda/python:3.12 + +COPY data/ /var/task/ + +CMD ["lambda_agent_runner.handler"] diff --git a/examples/aws-serverless/schedule-openai/deploy/deploy.sh b/examples/aws-serverless/schedule-openai/deploy/deploy.sh new file mode 100755 index 000000000..8963f196a --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/deploy.sh @@ -0,0 +1,76 @@ +#!/bin/bash +set -eo pipefail # exit if any command in this script fails + +# The request and response handlers deploy as local zips; the agent runner deploys as a container +# image because agentkernel[aws,openai,cron] (the OpenAI Agents SDK in particular) does not fit +# inside Lambda's 250 MB unzipped zip limit. Terraform builds and pushes that image from +# ../dist_agent_runner, so Docker must be running. +# +# Pass `local` as the first argument to install agentkernel from ../../../ak-py/dist instead of PyPI. + +# $1 = the pyproject extra, $2 = the entrypoint module, $3 = the dist directory name, +# $4 = the extras to force-reinstall from the local ak-py dist. +create_zip_deployment_package() { + local extra="$1" entrypoint="$2" dist="$3" local_extras="$4" + echo "Creating $dist deployment package (zip mode, extra: $extra)..." + pushd ../ + rm -rf "$dist" "$dist.zip" + mkdir -p "$dist" + uv export --extra "$extra" --no-hashes >requirements.txt + if [[ ${LOCAL_BUILD-} != "local" ]]; then + uv pip install -r requirements.txt --target="$dist" + else + uv pip install --force-reinstall --target="$dist" --find-links ../../../ak-py/dist "agentkernel[$local_extras]" --no-cache-dir + fi + cp -r "$entrypoint" config.yaml "$dist/" + cd "$dist" && zip -rq "../$dist.zip" . + popd || exit 1 +} + +# $1 = the pyproject extra, $2 = the entrypoint module, $3 = the dist directory name, +# $4 = the extras to force-reinstall from the local ak-py dist. +# The dependencies and the entrypoint go into data/, which the Dockerfile copies to /var/task. +create_image_deployment_package() { + local extra="$1" entrypoint="$2" dist="$3" local_extras="$4" + echo "Creating $dist deployment package (image mode, extra: $extra)..." + pushd ../ + rm -rf "$dist" + mkdir -p "$dist/data" + uv export --extra "$extra" --no-hashes >requirements.txt + if [[ ${LOCAL_BUILD-} != "local" ]]; then + uv pip install -r requirements.txt --target="$dist/data" + else + uv pip install --force-reinstall --target="$dist/data" --find-links ../../../ak-py/dist "agentkernel[$local_extras]" --no-cache-dir + fi + cp -r "$entrypoint" config.yaml "$dist/data" + popd || exit 1 + cp Dockerfile.agent_runner "../$dist/Dockerfile" +} + +report_zip_size() { + # Lambda's hard limit for a zip-deployed function is 250 MB unzipped. + local dist="$1" + local unzipped + unzipped=$(du -sm "../$dist" | cut -f1) + echo " $dist: $(du -h "../$dist.zip" | cut -f1) zipped, ${unzipped} MB unzipped" + if ((unzipped > 250)); then + echo " WARNING: $dist exceeds Lambda's 250 MB unzipped limit. Move dependencies into a Lambda" >&2 + echo " layer or switch this function to package_type = \"Image\" like the agent runner." >&2 + fi +} + +LOCAL_BUILD=${1-} + +create_zip_deployment_package request_handler lambda_request_handler.py dist_request_handler "aws,cron" +create_image_deployment_package agent_runner lambda_agent_runner.py dist_agent_runner "aws,openai,cron" +create_zip_deployment_package response_handler lambda_response_handler.py dist_response_handler "aws" + +echo "Package sizes:" +report_zip_size dist_request_handler +report_zip_size dist_response_handler +echo " dist_agent_runner: $(du -sh ../dist_agent_runner | cut -f1) image build context" + +rm -f ../requirements.txt + +terraform init +terraform apply diff --git a/examples/aws-serverless/schedule-openai/deploy/main.tf b/examples/aws-serverless/schedule-openai/deploy/main.tf new file mode 100644 index 000000000..f40bfbec1 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/main.tf @@ -0,0 +1,133 @@ +# --------------------------------------------------------------------------- +# Serverless Agents Deployment — scheduled and recurring chats +# --------------------------------------------------------------------------- +module "serverless_agents" { + source = "yaalalabs/ak-serverless/aws" + version = "0.8.1" + + providers = { aws = aws, docker = docker } + product_alias = var.product_alias + env_alias = var.env_alias + module_name = var.module_name + product_display_name = "AK OpenAI Scheduled Chats Serverless Example" + region = var.region + is_production = var.is_production + vpc_id = var.vpc_id + private_subnet_ids = var.private_subnet_ids + + # ---- Queue Mode ---- + # Mandatory for scheduling: EventBridge Scheduler delivers each occurrence to the Input Queue. + queue_mode = true + execution_mode = "rest_sync" + + # ---- Stores ---- + create_dynamodb_memory_table = true + create_dynamodb_response_store = true + + # ---- Scheduling ---- + # enable_scheduling provisions the EventBridge Scheduler schedule group and the execution role + # Scheduler assumes to send triggers to the Input Queue, grants both Lambda roles + # scheduler:*Schedule + iam:PassRole on them, injects the three + # AK_SCHEDULE__PROVIDER__EVENTBRIDGE__* variables, and flips the Input Queue to + # content-based deduplication (Scheduler cannot set a MessageDeduplicationId). + # + # create_dynamodb_schedule_table provisions the task store (partition task_id, no sort key) and + # injects AK_SCHEDULE__STORE__DYNAMODB__TABLE_NAME. + # + # Neither flag injects a `type` — config.yaml declares + # `schedule.provider.type: eventbridge` and `schedule.store.type: dynamodb`. + enable_scheduling = true + create_dynamodb_schedule_table = true + + # ---- API Gateway configuration ---- + api_version = "v1" + api_base_path = "api" + agent_endpoint = "chat" + + # The gateway only proxies paths registered here. These map to the `Lambda.register` routes in + # lambda_request_handler.py. The serverless router matches paths exactly, so there are no + # `{task_id}` path parameters — the task id travels as a query parameter or in the body. + gateway_endpoints = [ + { + path = "schedules" + method = "GET" # list + }, + { + path = "schedules/get" + method = "GET" # read one + }, + { + path = "schedules/amend" + method = "POST" # full-replacement amendment + }, + { + path = "schedules/cancel" + method = "POST" # cancel + }, + ] + + # ---- Request handler ---- + # Chat ingress plus the custom schedule management routes. + request_handler = { + module_name = "rqst-hdlr" + function_name = "rqh-func" + function_description = "Chat ingress and scheduled-task management routes" + handler_path = "lambda_request_handler.handler" + package_type = "LocalZip" + package_path = "../dist_request_handler.zip" + memory_size = 256 + timeout = 45 + environment_variables = { + "OPENAI_API_KEY" = var.openai_api_key + } + } + + # ---- Agent runner ---- + # Runs fired occurrences and hosts the create_schedule/update_schedule/delete_schedule tools. + # Image mode: agentkernel[aws,openai,cron] carries the OpenAI Agents SDK and does not fit + # inside Lambda's 250 MB unzipped zip limit. Terraform builds ../dist_agent_runner (deps under + # data/ plus the Dockerfile deploy.sh copies in) and pushes it to an ECR repository it creates. + agent_runner = { + module_name = "agent-runner" + function_name = "ar-func" + function_description = "Runs scheduled occurrences and registers new tasks" + timeout = 45 + memory_size = 1024 + handler_path = "lambda_agent_runner.handler" + package_type = "Image" + package_path = "../dist_agent_runner" + environment_variables = { + "OPENAI_API_KEY" = var.openai_api_key + } + } + + # ---- Response handler ---- + response_handler = { + function_name = "rsh-func" + module_name = "rspns-hdlr" + function_description = "Writes completed responses to the response store" + timeout = 45 + memory_size = 256 + handler_path = "lambda_response_handler.handler" + package_type = "LocalZip" + package_path = "../dist_response_handler.zip" + } + + # ---- Queue configuration ---- + queue_config = { + # Keep visibility timeouts >= the consuming Lambda's timeout, or a message is redelivered + # while it is still being processed. + input_queue_visibility_timeout = 60 + input_queue_max_receive_count = 3 + input_queue_create_dlq = false + input_queue_message_retention_seconds = 300 + + output_queue_visibility_timeout = 60 + output_queue_max_receive_count = 3 + output_queue_create_dlq = false + output_queue_message_retention_seconds = 300 + + batch_size = 10 + maximum_batching_window_in_seconds = 0 + } +} diff --git a/examples/aws-serverless/schedule-openai/deploy/outputs.tf b/examples/aws-serverless/schedule-openai/deploy/outputs.tf new file mode 100644 index 000000000..18ba47ae4 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/outputs.tf @@ -0,0 +1,26 @@ +output "agent_invoke_url" { + description = "POST to this URL to chat with the agent, with or without a `schedule` block" + value = module.serverless_agents.agent_invoke_url +} + +# Scheduling resources (null unless the matching flag is set) + +output "schedule_group_name" { + description = "EventBridge Scheduler schedule-group name each task registers its schedule in" + value = module.serverless_agents.schedule_group_name +} + +output "schedule_group_arn" { + description = "EventBridge Scheduler schedule-group ARN" + value = module.serverless_agents.schedule_group_arn +} + +output "scheduler_execution_role_arn" { + description = "Role EventBridge Scheduler assumes to deliver triggers to the Input Queue" + value = module.serverless_agents.scheduler_execution_role_arn +} + +output "schedule_table_name" { + description = "DynamoDB schedule store table name" + value = module.serverless_agents.schedule_table_name +} diff --git a/examples/aws-serverless/schedule-openai/deploy/providers.tf b/examples/aws-serverless/schedule-openai/deploy/providers.tf new file mode 100644 index 000000000..602410753 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/providers.tf @@ -0,0 +1,32 @@ +provider "aws" { + region = var.region +} + +# The agent runner deploys as a container image (package_type = "Image"), so the module needs a +# configured docker provider to build the image and push it to the ECR repository it creates. The +# request and response handlers still deploy as local zips. + +data "aws_caller_identity" "current" {} +data "aws_ecr_authorization_token" "token" {} + +provider "docker" { + registry_auth { + address = format("%v.dkr.ecr.%v.amazonaws.com", data.aws_caller_identity.current.account_id, var.region) + username = data.aws_ecr_authorization_token.token.user_name + password = data.aws_ecr_authorization_token.token.password + } +} + +terraform { + required_version = ">= 1.9.5" + required_providers { + aws = { + source = "hashicorp/aws" + version = ">= 6.11.0" + } + docker = { + source = "kreuzwerker/docker" + version = "3.6.2" + } + } +} diff --git a/examples/aws-serverless/schedule-openai/deploy/terraform.tfvars b/examples/aws-serverless/schedule-openai/deploy/terraform.tfvars new file mode 100644 index 000000000..edfe1b9de --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/terraform.tfvars @@ -0,0 +1,4 @@ +region = "ap-southeast-2" +env_alias = "dev" +product_alias = "ak-oai-sched-srvls" +module_name = "schedule" \ No newline at end of file diff --git a/examples/aws-serverless/schedule-openai/deploy/variables.tf b/examples/aws-serverless/schedule-openai/deploy/variables.tf new file mode 100644 index 000000000..f0e50c84d --- /dev/null +++ b/examples/aws-serverless/schedule-openai/deploy/variables.tf @@ -0,0 +1,41 @@ +variable "region" { + type = string + description = "Region" +} + +variable "product_alias" { + type = string + description = "Product alias" +} + +variable "env_alias" { + type = string + description = "Environment alias" +} + +variable "module_name" { + type = string + description = "module name" +} + +variable "is_production" { + description = "Is production" + type = bool + default = false +} + +variable "openai_api_key" { + description = "OpenAI API Key" + type = string +} + +variable "vpc_id" { + description = "VPC ID for Lambda deployment" + type = string +} + +variable "private_subnet_ids" { + description = "List of private subnet IDs for Lambda deployment" + type = list(string) + sensitive = true +} diff --git a/examples/aws-serverless/schedule-openai/lambda_agent_runner.py b/examples/aws-serverless/schedule-openai/lambda_agent_runner.py new file mode 100644 index 000000000..0e9858569 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/lambda_agent_runner.py @@ -0,0 +1,23 @@ +"""Agent-runner Lambda: consumes the Input Queue, runs the agent, sends to the Output Queue. + +Nothing here mentions scheduling. The `schedule` block in config.yaml is the whole switch — it +makes this function both the one that executes a fired occurrence (an occurrence arrives on the +Input Queue as a plain chat request) and the one that registers new tasks, whether the request +carried a `schedule` block or the agent called `create_schedule` itself. +""" + +from agentkernel.aws import ServerlessAgentRunner +from agentkernel.openai import OpenAIModule +from agents import Agent + +reminder_agent = Agent( + name="assistant", + instructions="You are a helpful assistant. When the user asks for something to happen later or on a " + "recurring basis, register it with the scheduling tools rather than answering as if it had " + "already run, and tell the user the task id you registered. When a scheduled prompt reaches " + "you, answer it normally — it is a plain request.", +) + +OpenAIModule([reminder_agent]) + +handler = ServerlessAgentRunner.handle diff --git a/examples/aws-serverless/schedule-openai/lambda_request_handler.py b/examples/aws-serverless/schedule-openai/lambda_request_handler.py new file mode 100644 index 000000000..8c5e8d76c --- /dev/null +++ b/examples/aws-serverless/schedule-openai/lambda_request_handler.py @@ -0,0 +1,129 @@ +"""Request-handler Lambda: chat ingress plus custom scheduled-task management routes. + +Unlike the ECS containerized target, the serverless target's router is not FastAPI — it is a +hand-rolled path/method table, so `ScheduleRESTRequestHandler` (a FastAPI APIRouter) cannot be +mounted here. Management is exposed instead through `Lambda.register` routes that call +`ScheduleManager` directly, which is the same object the REST handler wraps. + +Two consequences of the router being exact-match on the path: + * no `{task_id}` path parameters — the task id travels as a query parameter or in the body + * these paths must also be declared in `gateway_endpoints` in deploy/main.tf + +Creation is deliberately absent here, exactly as in the REST handler: a task is created by the +`schedule` block on a chat request or by the agent's own `create_schedule` tool, so callers and +agents share one code path. +""" + +import json + +from agentkernel.aws import Lambda +from agentkernel.schedule import ScheduleManager + + +def _manager() -> ScheduleManager: + """Resolve the process-wide manager, or fail loudly if the block is missing from config.yaml.""" + manager = ScheduleManager.get() + if manager is None: + raise ValueError("Scheduling is not configured. Add a 'schedule' block to config.yaml") + return manager + + +def _user_id(event) -> str: + """Read the owner from the query string. + + In production resolve this from the caller's token (an API Gateway authorizer, or an + `Authoriser` on the containerized target) rather than trusting a query parameter. + """ + user_id = (event.get("queryStringParameters") or {}).get("user_id") + if not user_id: + raise ValueError("user_id query parameter is required") + return user_id + + +@Lambda.register("/schedules", method="GET") +def list_schedules(event, context): + """GET /api/v1/schedules?user_id=...&limit=...&cursor=... — cursor-paginated listing.""" + params = event.get("queryStringParameters") or {} + try: + page = _manager().list_tasks( + user_id=_user_id(event), + limit=int(params["limit"]) if params.get("limit") else None, + cursor=params.get("cursor"), + ) + except ValueError as e: + # A malformed `limit` or `cursor` is the caller's mistake, not a server fault. + return 400, {"error": str(e)} + return { + "schedules": [task.model_dump(mode="json") for task in page.tasks], + "next_cursor": page.next_cursor, + } + + +@Lambda.register("/schedules/get", method="GET") +def get_schedule(event, context): + """GET /api/v1/schedules/get?user_id=...&task_id=... — read one task. + + A query parameter rather than a path segment: the serverless router matches paths exactly, so + `/schedules/{task_id}` would never resolve. + """ + params = event.get("queryStringParameters") or {} + task_id = params.get("task_id") + if not task_id: + return 400, {"error": "task_id query parameter is required"} + try: + task = _manager().get_task(task_id, user_id=_user_id(event)) + except PermissionError as e: + return 403, {"error": str(e)} + except ValueError as e: + # A missing user_id query parameter, same as the other routes report it. + return 400, {"error": str(e)} + if task is None: + return 404, {"error": f"Unknown scheduled task {task_id}"} + return task.model_dump(mode="json") + + +@Lambda.register("/schedules/amend", method="POST") +def amend_schedule(event, context): + """POST /api/v1/schedules/amend — full-replacement amendment. + + Body: {"task_id", "user_id", "prompt", "at"|"cron", "timezone", "session_mode", "status"}. + Replaces the amendable state rather than merging, matching the PUT route's semantics: an + omitted occurrence field clears it. + """ + body = json.loads(event.get("body") or "{}") + task_id, user_id = body.pop("task_id", None), body.pop("user_id", None) + if not task_id or not user_id: + return 400, {"error": "task_id and user_id are required"} + try: + task = _manager().update(task_id, body, user_id=user_id) + except PermissionError as e: + return 403, {"error": str(e)} + except KeyError: + return 404, {"error": f"Unknown scheduled task {task_id}"} + except ValueError as e: + return 400, {"error": str(e)} + return task.model_dump(mode="json") + + +@Lambda.register("/schedules/cancel", method="POST") +def cancel_schedule(event, context): + """POST /api/v1/schedules/cancel — body: {"task_id", "user_id"}. + + The record survives as the audit trail, so the cancelled task is returned. + """ + body = json.loads(event.get("body") or "{}") + task_id, user_id = body.get("task_id"), body.get("user_id") + if not task_id or not user_id: + return 400, {"error": "task_id and user_id are required"} + try: + task = _manager().cancel(task_id, user_id=user_id) + except PermissionError as e: + return 403, {"error": str(e)} + except KeyError: + return 404, {"error": f"Unknown scheduled task {task_id}"} + except ValueError as e: + return 400, {"error": str(e)} + return task.model_dump(mode="json") + + +handler = Lambda.handler diff --git a/examples/aws-serverless/schedule-openai/lambda_response_handler.py b/examples/aws-serverless/schedule-openai/lambda_response_handler.py new file mode 100644 index 000000000..7adb50a1f --- /dev/null +++ b/examples/aws-serverless/schedule-openai/lambda_response_handler.py @@ -0,0 +1,3 @@ +from agentkernel.aws import ResponseHandler + +handler = ResponseHandler.handle diff --git a/examples/aws-serverless/schedule-openai/lambda_test.py b/examples/aws-serverless/schedule-openai/lambda_test.py new file mode 100644 index 000000000..757f06a5e --- /dev/null +++ b/examples/aws-serverless/schedule-openai/lambda_test.py @@ -0,0 +1,203 @@ +"""Tests for the deployed serverless scheduling example. + +Set AK_TEST_ENDPOINT to the module's `agent_invoke_url` output (the chat route). The management +routes are derived from it, so both live behind the same API Gateway stage. + +These are integration tests against a real deployment: they create real EventBridge schedules and +cancel them afterwards. Nothing here waits for an occurrence to fire — a schedule far enough in the +future to be safe is also too far away to await — so the assertions cover the registration, the 202 +contract, the management surface, and validation. + +Note the management routes are the custom `Lambda.register` routes in lambda_request_handler.py, +not `ScheduleRESTRequestHandler`: the serverless router is not FastAPI. That is why the task id +travels as a query parameter or in the body rather than as a path segment. +""" + +import asyncio +import json +import os +import uuid + +import httpx +import pytest +import pytest_asyncio + +pytestmark = pytest.mark.asyncio(loop_scope="session") + +USER_ID = "alice" +# Deliberately far in the future: the assertions never wait for a firing. +FUTURE_AT = "2035-01-31T09:00:00" + + +class ScheduleTestClient: + """Thin client over the chat route and the custom management routes.""" + + def __init__(self, chat_url: str): + self.chat_url = chat_url.rstrip("/") + # /api/v1/chat -> /api/v1/schedules + self.schedules_url = self.chat_url.rsplit("/", 1)[0] + "/schedules" + + async def chat(self, prompt: str, session_id: str, schedule: dict | None = None) -> httpx.Response: + payload = {"prompt": prompt, "session_id": session_id, "user_id": USER_ID} + if schedule is not None: + payload["schedule"] = schedule + async with httpx.AsyncClient(timeout=60.0) as client: + # Retry 5xx and timeouts: Lambda cold starts can exceed the gateway timeout. + for attempt in range(3): + try: + response = await client.post(self.chat_url, json=payload) + except httpx.TimeoutException: + if attempt == 2: + raise + continue + if response.status_code < 500 or attempt == 2: + return response + await asyncio.sleep(5) + return response + + async def list_schedules(self) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.get(self.schedules_url, params={"user_id": USER_ID}) + + async def get_schedule(self, task_id: str) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.get(f"{self.schedules_url}/get", params={"user_id": USER_ID, "task_id": task_id}) + + async def amend_schedule(self, task_id: str, body: dict) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.post( + f"{self.schedules_url}/amend", json={"task_id": task_id, "user_id": USER_ID, **body} + ) + + async def cancel_schedule(self, task_id: str) -> httpx.Response: + async with httpx.AsyncClient(timeout=30.0) as client: + return await client.post(f"{self.schedules_url}/cancel", json={"task_id": task_id, "user_id": USER_ID}) + + +@pytest_asyncio.fixture(scope="session", loop_scope="session") +async def client(): + endpoint = os.getenv("AK_TEST_ENDPOINT") + assert endpoint, "Set AK_TEST_ENDPOINT to the deployment's agent_invoke_url" + yield ScheduleTestClient(endpoint) + + +@pytest_asyncio.fixture(scope="session", loop_scope="session", autouse=True) +async def cleanup(client): + """Cancel every schedule this user still owns, however the tests ended. + + Not tidiness: `terraform destroy` deletes the EventBridge schedule *group*, and AWS refuses to + delete a group that still holds schedules. A test that fails midway would otherwise leave one + behind and break the next run's destroy step, so this runs even on failure. + """ + yield + listing = await client.list_schedules() + if listing.status_code != 200: + return + for task in listing.json().get("schedules", []): + if task["status"] in ("active", "paused"): + await client.cancel_schedule(task["task_id"]) + + +def _task_id_of(response: httpx.Response) -> str: + """Pull the task id out of a 202 acknowledgement, whose `result` is a JSON string.""" + ack = json.loads(response.json()["result"]) + assert ack["status"] == "SCHEDULED", ack + return ack["scheduled_task_id"] + + +@pytest.mark.asyncio +@pytest.mark.order(1) +async def test_a_plain_chat_still_runs_immediately(client): + response = await client.chat("Say the single word: ready", session_id=str(uuid.uuid4())) + assert response.status_code == 200, response.text + assert response.json().get("result") + + +@pytest.mark.asyncio +@pytest.mark.order(2) +async def test_a_one_time_schedule_is_acknowledged_with_202(client): + response = await client.chat( + "Send me the daily summary", + session_id=str(uuid.uuid4()), + schedule={"at": FUTURE_AT, "timezone": "Asia/Colombo"}, + ) + # 202, not 200: accepted, not executed. The status survives the queue round trip because the + # agent runner forwards it and the response store keeps it. + assert response.status_code == 202, response.text + task_id = _task_id_of(response) + + read = await client.get_schedule(task_id) + assert read.status_code == 200, read.text + task = read.json() + assert task["status"] == "active" + assert task["spec"]["at"] == FUTURE_AT + assert task["user_id"] == USER_ID + assert task["trigger_count"] == 0 + + assert (await client.cancel_schedule(task_id)).json()["status"] == "cancelled" + + +@pytest.mark.asyncio +@pytest.mark.order(3) +async def test_a_recurring_schedule_can_be_amended_and_cancelled(client): + response = await client.chat( + "Send the weekly report", + session_id=str(uuid.uuid4()), + schedule={"cron": "0 9 * * 1", "timezone": "Asia/Colombo", "session_mode": "new"}, + ) + assert response.status_code == 202, response.text + task_id = _task_id_of(response) + + # Full replacement rather than a merge, so every value is sent even when unchanged. + amended = await client.amend_schedule( + task_id, + { + "prompt": "Send the weekly report", + "cron": "0 8 * * 1", + "timezone": "Asia/Colombo", + "session_mode": "new", + "status": "paused", + }, + ) + assert amended.status_code == 200, amended.text + assert amended.json()["spec"]["cron"] == "0 8 * * 1" + assert amended.json()["status"] == "paused" + + listing = await client.list_schedules() + assert listing.status_code == 200, listing.text + assert task_id in [task["task_id"] for task in listing.json()["schedules"]] + + # The record survives cancellation as the audit trail. + cancelled = await client.cancel_schedule(task_id) + assert cancelled.status_code == 200, cancelled.text + assert cancelled.json()["status"] == "cancelled" + + +@pytest.mark.asyncio +@pytest.mark.order(4) +async def test_an_unusable_schedule_is_rejected_at_creation(client): + response = await client.chat( + "Send me the daily summary", + session_id=str(uuid.uuid4()), + schedule={"at": "2020-01-01T09:00:00"}, + ) + # Rejected at creation rather than silently never firing. + assert response.status_code == 400, response.text + + +@pytest.mark.asyncio +@pytest.mark.order(5) +async def test_the_agent_can_schedule_work_itself(client): + # Runs now; the agent is expected to call create_schedule rather than answer as if it had run. + response = await client.chat( + "Every weekday at 8am in Asia/Colombo, remind me to review the overnight alerts.", + session_id=str(uuid.uuid4()), + ) + assert response.status_code == 200, response.text + + listing = await client.list_schedules() + active = [task for task in listing.json()["schedules"] if task["status"] == "active"] + assert active, "expected the agent to have registered a schedule via create_schedule" + + for task in active: + await client.cancel_schedule(task["task_id"]) diff --git a/examples/aws-serverless/schedule-openai/pyproject.toml b/examples/aws-serverless/schedule-openai/pyproject.toml new file mode 100644 index 000000000..ac1af46d0 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/pyproject.toml @@ -0,0 +1,53 @@ +[project] +name = "aws-serverless-schedule-openai" +version = "0.1.0" +description = "Demo of scheduled and recurring chats in Agent Kernel on AWS Lambda, using EventBridge Scheduler and DynamoDB" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [] + +[project.optional-dependencies] +# Per-Lambda dependency sets. The request/response handlers only enqueue and dequeue work, so they +# omit the (heavy) OpenAI Agents SDK; only the agent runner needs it. deploy.sh installs each +# package with `uv export --extra `. +# +# The `cron` extra (croniter) is only on the agent runner: cron parsing happens when a task is +# validated at creation, which is this function's job. The request handler's management routes +# (list/read/amend/cancel) reach the DynamoDB store and EventBridge Scheduler through the `aws` +# extra and never parse a cron expression — except on an amendment that changes one, which is why +# `cron` is included there too. +request_handler = [ + "agentkernel[aws,cron]>=0.8.1", +] +response_handler = [ + "agentkernel[aws]>=0.8.1", +] +agent_runner = [ + "agentkernel[aws,openai,cron]>=0.8.1", +] + +[dependency-groups] +dev = [ + "agentkernel[test]>=0.8.1", + "black==26.5.1", + "isort>=5.0.0", + "mypy>=1.0.0", +] + +[tool.uv] +package = false + +[tool.isort] +profile = "black" +line_length = 120 + +[tool.mypy] +python_version = "3.12" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = true +disallow_incomplete_defs = true + +[tool.black] +line-length = 120 +target-version = ["py312"] diff --git a/examples/aws-serverless/schedule-openai/test-config.yaml b/examples/aws-serverless/schedule-openai/test-config.yaml new file mode 100644 index 000000000..95f5c82ea --- /dev/null +++ b/examples/aws-serverless/schedule-openai/test-config.yaml @@ -0,0 +1,8 @@ +# Agent Kernel test harness configuration (loaded only when running tests). +# See https://kernel.yaala.ai/docs/testing/overview for details. +mode: fallback # Test comparison mode: fuzzy, judge, or fallback (default: fallback) +# Judge settings are used by the judge and fallback modes (LLM-based evaluation): +judge: + model: gpt-4o-mini + provider: openai + embedding_model: text-embedding-3-small diff --git a/examples/aws-serverless/schedule-openai/uv.lock b/examples/aws-serverless/schedule-openai/uv.lock new file mode 100644 index 000000000..6c043e289 --- /dev/null +++ b/examples/aws-serverless/schedule-openai/uv.lock @@ -0,0 +1,4690 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.15' and sys_platform == 'win32'", + "python_full_version >= '3.15' and sys_platform == 'emscripten'", + 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b/examples/aws-serverless/streaming-openai/config.yaml @@ -9,6 +9,10 @@ session: execution: mode: stream queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: # url: "https://sqs..amazonaws.com//" max_receive_count: 3 diff --git a/examples/aws-serverless/websocket-openai/config.yaml b/examples/aws-serverless/websocket-openai/config.yaml index 04c4a6857..810d276e7 100644 --- a/examples/aws-serverless/websocket-openai/config.yaml +++ b/examples/aws-serverless/websocket-openai/config.yaml @@ -9,6 +9,10 @@ session: execution: mode: async queues: + # The transport every component of this deployment runs on. Mandatory: the queue URLs + # below are injected per component, so only this declaration tells each process which + # transport it is on. + type: sqs input: # url: "https://sqs..amazonaws.com//" max_receive_count: 3