fix(docs): correct stale flush() docstrings to reflect drain-only semantics (HYBIM-966)

examples/chatbot/basic-examples/README.md

@@ -63,9 +63,6 @@ logger.add_llm_span(
 
 # Conclude the trace
 logger.conclude(output=response.choices[0].message.content.strip())
-
-# Flush the traces to Splunk AO
-logger.flush()
 ```
 
 This approach gives you more control over what gets logged and when, allowing you to:

examples/chatbot/basic-examples/hallucination.py

@@ -101,6 +101,3 @@ def run_hallucination_demo():
 
     # Run the main demonstration
     results = run_hallucination_demo()
-
-    # Flush the traces to Splunk AO
-    logger.flush()

examples/chatbot/basic-examples/test.py

@@ -54,8 +54,5 @@
 # Conclude the trace
 logger.conclude(output=response_content)
 
-# Flush the traces to Splunk AO
-logger.flush()
-
 # Print the response
 print(response_content)

examples/logging-samples/splunk-ao-logger/basic-example.py

@@ -29,9 +29,6 @@
 # Conclude the trace with the final output
 logger.conclude(output="Hello, this is a test", duration_ns=1000)
 
-# Flush the trace to Splunk AO
-logger.flush()
-
 
 # Show link to Splunk AO log stream
 config = SplunkAOConfig.get()

examples/logging-samples/splunk-ao-logger/metadata-example.py

@@ -27,9 +27,6 @@
 # Conclude the trace with the final output
 logger.conclude(output_answer)
 
-# Flush the trace to Splunk AO
-logger.flush()
-
 # Show link to Splunk AO log stream
 config = SplunkAOConfig.get()
 project_url = f"{config.console_url}project/{logger.project_id}"

examples/logging-samples/splunk-ao-logger/redaction-example.py

@@ -19,8 +19,6 @@
 redacted_input = user_input.replace(sensitive_info, "***")
 trace = logger.start_trace(input=user_input, redacted_input=redacted_input)
 
-logger.flush()  # send the trace to Splunk AO
-
 # Example of how to create "redacted_input", matching email as sensitive info
 # ---------------------------------------------------------------------------
 
@@ -37,8 +35,6 @@
 else:
     trace = logger.start_trace(input=user_input)
 
-logger.flush()  # send the trace to Splunk AO
-
 # It's also possible to use a service such as https://www.private-ai.com/ to create the redacted_input
 
 # Export the logged traces in the logstream

examples/logging-samples/splunk-ao-logger/retriever-example.py

@@ -55,9 +55,6 @@
 
     logger.conclude(output="This is another trace conclude", duration_ns=1000)
 
-    # Flush the traces to splunk_ao
-    logger.flush()
-
 
 # Show link to Splunk AO log stream
 config = SplunkAOConfig.get()

splunk-ao-migration-tool/README.md

@@ -391,7 +391,6 @@ logger = GalileoLogger(project="my-project", log_stream="production")
 logger.start_session(name="my-session")
 logger.add_llm_span(input="Hello", output="Hi", model="gpt-4")
 logger.conclude()   # closes current span; no flush kwarg
-logger.flush()      # uploads traces
 ```
 
 ### After (splunk-ao)
@@ -418,7 +417,6 @@ logger = SplunkAOLogger(project="my-project", agent_stream="production")
 logger.start_session(name="my-session")
 logger.add_llm_span(input="Hello", output="Hi", model="gpt-4")
 logger.conclude()   # closes current span; no flush kwarg
-logger.flush()      # uploads traces
 ```
 
 ---

splunk-ao-migration-tool/examples/after_splunk_ao.py

@@ -21,4 +21,3 @@ def call_llm(prompt: str) -> str:
 logger.start_session(name="my-session")
 logger.add_llm_span(input="Hello", output="Hi", model="gpt-4")
 logger.conclude()   # closes current span; no flush kwarg
-logger.flush()      # uploads traces

splunk-ao-migration-tool/examples/before_galileo.py

@@ -21,4 +21,3 @@ def call_llm(prompt: str) -> str:
 logger.start_session(name="my-session")
 logger.add_llm_span(input="Hello", output="Hi", model="gpt-4")
 logger.conclude()   # closes current span; no flush kwarg
-logger.flush()      # uploads traces

src/splunk_ao/logger/logger.py

@@ -208,7 +208,6 @@ class SplunkAOLogger(TracesLogger):
         duration_ns=1000
     )
     logger.conclude(output="I am!", duration_ns=2000)
-    logger.flush()
     ```
     """