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Python: [BREAKING] Fix #3613 chat/agent message typing alignment (#3920)

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* Fix #3613 message typing across chat and agents

* Address #3613 review feedback and sample input style

* refactor: use shared AgentRunMessages aliases (#3613)

* refactor: rename agent run input aliases for #3613

* samples: inline image content in run calls

* core: export AgentRunInputs from package init

* core: use explicit init re-exports without __all__

* updated logging and inits

* Fix core mypy export and samples XML note

* Remove AgentRunInputsOrNone and dedupe loggers

* Remove prepare_messages helper

* fix integration tests
This commit is contained in:
Eduard van Valkenburg
2026-02-16 16:27:25 +01:00
committed by GitHub
Unverified
parent 503eb10fdd
commit dc9439a75a
87 changed files with 422 additions and 578 deletions
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python/samples/02-agents/observability/README.md
+6 -3
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@@ -178,12 +178,15 @@ The `configure_otel_providers()` function automatically reads **standard OpenTel
> **Note**: These are standard OpenTelemetry environment variables. See the [OpenTelemetry spec](https://opentelemetry.io/docs/specs/otel/configuration/sdk-environment-variables/) for more details.
#### Logging
Agent Framework has a built-in logging configuration that works well with telemetry. It sets the format to a standard format that includes timestamp, pathname, line number, and log level. You can use that by calling the `setup_logging()` function from the `agent_framework` module.
Use standard Python logging configuration to align logs with telemetry output.
```python
from agent_framework import setup_logging
import logging
setup_logging()
logging.basicConfig(
format="[%(asctime)s - %(pathname)s:%(lineno)d - %(levelname)s] %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
```
You can control at what level logging happens and thus what logs get exported, you can do this, by adding this:
python/samples/02-agents/observability/configure_otel_providers_with_parameters.py
+9 -3
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@@ -2,11 +2,12 @@
import argparse
import asyncio
import logging
from contextlib import suppress
from random import randint
from typing import TYPE_CHECKING, Annotated, Literal
from agent_framework import setup_logging, tool
from agent_framework import tool
from agent_framework.observability import configure_otel_providers, get_tracer
from agent_framework.openai import OpenAIResponsesClient
from opentelemetry import trace
@@ -31,7 +32,9 @@ Use this approach when you need custom exporter configuration beyond what enviro
SCENARIOS = ["client", "client_stream", "tool", "all"]
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
# NOTE: approval_mode="never_require" is for sample brevity.
# Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py
# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
async def get_weather(
location: Annotated[str, Field(description="The location to get the weather for.")],
@@ -101,7 +104,10 @@ async def main(scenario: Literal["client", "client_stream", "tool", "all"] = "al
"""Run the selected scenario(s)."""
# Setup the logging with the more complete format
setup_logging()
logging.basicConfig(
format="[%(asctime)s - %(pathname)s:%(lineno)d - %(levelname)s] %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
# Create custom OTLP exporters with specific configuration
# Note: You need to install opentelemetry-exporter-otlp-proto-grpc or -http separately