RHIDP-12952: persist interrupted conversation#1971
Conversation
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
|
Warning Review limit reached
More reviews will be available in 36 minutes and 37 seconds. Learn how PR review limits work. Your organization has used up its prepaid credits, and credit purchases are no longer available. Enable the review add-on in the billing tab to keep reviews running — you're only billed for reviews past your plan's rate limits ($0.25/file). ⌛ How to resolve this issue?After more reviews become available, a review can be triggered using the To avoid repeated limits, reduce automatic review volume by pausing incremental auto-reviews earlier, using label-based review opt-in, excluding WIP or generated PR titles, or requesting reviews manually when the PR is ready. If your team needs uninterrupted high-volume reviews, an organization admin can enable usage-based credits. 🚦 How do rate limits work?CodeRabbit enforces per-developer PR review limits for each organization. Most developers receive the normal plan refill rate. For paid Pro and Pro+ PR reviews, CodeRabbit uses adaptive limits for sustained high-volume activity. When a developer's recent PR review activity reaches the 95th percentile or higher among CodeRabbit users, the refill rate gradually slows as usage increases. The highest same-day bursts are limited more strictly. Please see our Fair Usage Limits Policy for further information. ℹ️ Review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: ASSERTIVE Plan: Pro Run ID: 📒 Files selected for processing (2)
WalkthroughThe PR replaces the static interrupted-response message with a mechanism that accumulates streamed token deltas into ChangesStructured Interrupted Response from Partial Tokens
Sequence Diagram(s)sequenceDiagram
participant Client
participant generate_response / generate_agent_response
participant _process_token / response_generator
participant build_interrupted_response
participant close_open_markdown
participant persist_interrupted_turn
rect rgba(100, 149, 237, 0.5)
note over _process_token / response_generator: Normal streaming
_process_token / response_generator-->Client: token SSE events (chunk_id 0, 1, 2…)
_process_token / response_generator->>generate_response / generate_agent_response: appends partial_tokens, sets next_chunk_id
end
rect rgba(220, 100, 100, 0.5)
note over generate_response / generate_agent_response: asyncio.CancelledError
generate_response / generate_agent_response->>build_interrupted_response: partial_tokens
build_interrupted_response->>close_open_markdown: joined text
close_open_markdown-->>build_interrupted_response: repair suffix
build_interrupted_response-->>generate_response / generate_agent_response: (full_text, emit_suffix)
generate_response / generate_agent_response->>persist_interrupted_turn: llm_response = full_text
generate_response / generate_agent_response-->>Client: final token SSE event (emit_suffix, next_chunk_id)
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Suggested reviewers
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
✨ Simplify code
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
There was a problem hiding this comment.
Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@src/app/endpoints/streaming_query.py`:
- Around line 637-640: The build_interrupted_response call at line 637 relies
solely on turn_summary.partial_tokens, which may be empty or incomplete if
cancellation occurs after response.output_text.done has populated
turn_summary.llm_response but before all deltas are processed. Modify the
build_interrupted_response call to use turn_summary.llm_response as a fallback
when partial_tokens is empty, ensuring that model output is not lost when
interrupted responses are reconstructed and persisted.
In `@src/utils/markdown_repair.py`:
- Around line 75-90: In the fence closing logic (the elif condition checking
`char == fence_char and len(matched_group) >= fence_len`), add validation to
ensure that any trailing content after the fence marker contains only whitespace
characters (spaces and tabs). Extract the remainder of the line after the
matched fence group and check that it either doesn't exist or contains only
whitespace using a string method like strip() or a regex check. Only allow the
fence to close if this whitespace validation passes, otherwise treat the line as
regular content inside the code block.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Path: .coderabbit.yaml
Review profile: ASSERTIVE
Plan: Pro
Run ID: 093e2b47-86b6-41de-a11e-9ff652c597b9
📒 Files selected for processing (10)
src/app/endpoints/streaming_query.pysrc/constants.pysrc/models/common/turn_summary.pysrc/utils/agents/streaming.pysrc/utils/markdown_repair.pysrc/utils/stream_interrupts.pytests/unit/app/endpoints/test_streaming_query.pytests/unit/utils/agents/test_streaming.pytests/unit/utils/test_markdown_repair.pytests/unit/utils/test_stream_interrupts.py
📜 Review details
⏰ Context from checks skipped due to timeout. (12)
- GitHub Check: E2E: library mode / ci / group 3
- GitHub Check: E2E: server mode / ci / group 3
- GitHub Check: E2E: library mode / ci / group 2
- GitHub Check: E2E: server mode / ci / group 2
- GitHub Check: E2E: server mode / ci / group 1
- GitHub Check: E2E: library mode / ci / group 1
- GitHub Check: build-pr
- GitHub Check: E2E Tests for Lightspeed Evaluation job
- GitHub Check: integration_tests (3.13)
- GitHub Check: integration_tests (3.12)
- GitHub Check: Konflux kflux-prd-rh02 / lightspeed-stack-on-pull-request
- GitHub Check: Konflux kflux-prd-rh02 / lightspeed-stack-0-6-on-pull-request
🧰 Additional context used
📓 Path-based instructions (5)
src/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
src/**/*.py: Use absolute imports for internal modules:from authentication import get_auth_dependency
Llama Stack imports: Usefrom llama_stack_client import AsyncLlamaStackClient
Checkconstants.pyfor shared constants before defining new ones
All modules must start with descriptive docstrings explaining purpose
Uselogger = get_logger(__name__)fromlog.pyfor module logging
All functions must have complete type annotations for parameters and return types, use modern syntax (str | int), and include descriptive docstrings
Use snake_case with descriptive, action-oriented names for functions (get_, validate_, check_)
Avoid in-place parameter modification anti-patterns; return new data structures instead of modifying function parameters
Useasync deffor I/O operations and external API calls
Use standard log levels with clear purposes:debug()for diagnostic info,info()for program execution,warning()for unexpected events,error()for serious problems
All classes must have descriptive docstrings explaining purpose and use PascalCase with standard suffixes:Configuration,Error/Exception,Resolver,Interface
Abstract classes must use ABC with@abstractmethoddecorators
Follow Google Python docstring conventions with required sections: Parameters, Returns, Raises, and Attributes for classes
Files:
src/constants.pysrc/models/common/turn_summary.pysrc/utils/markdown_repair.pysrc/utils/stream_interrupts.pysrc/app/endpoints/streaming_query.pysrc/utils/agents/streaming.py
src/constants.py
📄 CodeRabbit inference engine (AGENTS.md)
Use
constants.pyfor shared constants with descriptive comments and type hints usingFinal[type]
Files:
src/constants.py
src/models/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Pydantic models must use
@model_validatorand@field_validatorfor validation and complete type annotations for all attributes, avoidingAnytype
Files:
src/models/common/turn_summary.py
tests/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
tests/**/*.py: Use pytest for all unit and integration tests; do not use unittest
Usepytest.mark.asynciomarker for async tests
Files:
tests/unit/utils/test_markdown_repair.pytests/unit/app/endpoints/test_streaming_query.pytests/unit/utils/agents/test_streaming.pytests/unit/utils/test_stream_interrupts.py
src/app/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
src/app/**/*.py: FastAPI dependencies: Import fromfastapimodule forAPIRouter,HTTPException,Request,status,Depends
Use FastAPIHTTPExceptionwith appropriate status codes for API endpoints and handleAPIConnectionErrorfrom Llama Stack
Files:
src/app/endpoints/streaming_query.py
🧠 Learnings (3)
📚 Learning: 2026-01-12T10:58:40.230Z
Learnt from: blublinsky
Repo: lightspeed-core/lightspeed-stack PR: 972
File: src/models/config.py:459-513
Timestamp: 2026-01-12T10:58:40.230Z
Learning: In lightspeed-core/lightspeed-stack, for Python files under src/models, when a user claims a fix is done but the issue persists, verify the current code state before accepting the fix. Steps: review the diff, fetch the latest changes, run relevant tests, reproduce the issue, search the codebase for lingering references to the original problem, confirm the fix is applied and not undone by subsequent commits, and validate with local checks to ensure the issue is resolved.
Applied to files:
src/models/common/turn_summary.py
📚 Learning: 2026-02-25T07:46:33.545Z
Learnt from: asimurka
Repo: lightspeed-core/lightspeed-stack PR: 1211
File: src/models/responses.py:8-16
Timestamp: 2026-02-25T07:46:33.545Z
Learning: In the Python codebase, requests.py should use OpenAIResponseInputTool as Tool while responses.py uses OpenAIResponseTool as Tool. This difference is intentional due to differing schemas for input vs output tools in llama-stack-api. Apply this distinction consistently to other models under src/models (e.g., ensure request-related tools use the InputTool variant and response-related tools use the ResponseTool variant). If adding new tools, choose the corresponding InputTool or Tool class based on whether the tool represents input or output, and document the rationale in code comments.
Applied to files:
src/models/common/turn_summary.py
📚 Learning: 2026-04-06T20:18:07.852Z
Learnt from: major
Repo: lightspeed-core/lightspeed-stack PR: 1463
File: src/app/endpoints/rlsapi_v1.py:266-271
Timestamp: 2026-04-06T20:18:07.852Z
Learning: In the lightspeed-stack codebase, within `src/app/endpoints/` inference/MCP endpoints, treat `tools: Optional[list[Any]]` in MCP tool definitions as an intentional, consistent typing pattern (used across `query`, `responses`, `streaming_query`, `rlsapi_v1`). Do not raise or suggest this as a typing issue during code review; changing it in isolation could break endpoint typing consistency across the codebase.
Applied to files:
src/app/endpoints/streaming_query.py
🔇 Additional comments (7)
src/models/common/turn_summary.py (1)
117-126: LGTM!src/constants.py (1)
15-15: LGTM!src/utils/stream_interrupts.py (1)
23-23: LGTM!Also applies to: 219-239, 277-277, 286-286, 368-369
tests/unit/utils/test_stream_interrupts.py (1)
8-21: LGTM!Also applies to: 49-49, 71-72, 100-100, 169-193
src/utils/agents/streaming.py (1)
28-28: LGTM!Also applies to: 68-68, 201-217, 358-364, 415-415
tests/unit/utils/agents/test_streaming.py (1)
67-68: LGTM!Also applies to: 720-722, 813-813, 966-1106
tests/unit/app/endpoints/test_streaming_query.py (1)
54-54: LGTM!Also applies to: 74-75, 1385-1385, 1394-1400
Signed-off-by: Jordan Dubrick <jdubrick@redhat.com>
|
/cc @tisnik |
Description
Type of change
Tools used to create PR
Identify any AI code assistants used in this PR (for transparency and review context)
Related Tickets & Documents
Checklist before requesting a review
Testing
Summary by CodeRabbit
Release Notes
New Features
Bug Fixes
Updates