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# What does this PR do? Allow users to name an agent and use the name in telemetry instead of relying on randomly generated agent_ids. This improves the developer experience by making it easier to find specific agents in telemetry logs. Closes #1832 ## Test Plan - Added tests to verify the agent name is properly stored and retrieved - Ran `uv run -- pytest -v tests/integration/telemetry/test_telemetry.py::test_agent_name_filtering` from the root of the project and made sure the tests pass - Ran `uv run -- pytest -v tests/integration/telemetry/test_telemetry.py::test_agent_query_spans` to verify existing code without agent names still works correctly ## Use Example ``` agent = Agent( llama_stack_client, model=text_model_id, name="CustomerSupportAgent", # New parameter instructions="You are a helpful customer support assistant" ) session_id = agent.create_session(f"test-session-{uuid4()}") ``` ## Implementation Notes - Agent names are optional string parameters with no additional validation - Names are not required to be unique - multiple agents can have the same name - The agent_id remains the unique identifier for an agent --------- Co-authored-by: raghotham <raghotham@gmail.com> |
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| .. | ||
| agents | ||
| batch_inference | ||
| benchmarks | ||
| common | ||
| datasetio | ||
| datasets | ||
| eval | ||
| files | ||
| inference | ||
| inspect | ||
| models | ||
| post_training | ||
| providers | ||
| safety | ||
| scoring | ||
| scoring_functions | ||
| shields | ||
| synthetic_data_generation | ||
| telemetry | ||
| tools | ||
| vector_dbs | ||
| vector_io | ||
| __init__.py | ||
| datatypes.py | ||
| resource.py | ||
| version.py | ||