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Update model path in pytest configuration to use gpt-oss-20b#63

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dphuang2 merged 1 commit intoaggregated-metrics-part-8from
fix-pytest-mcp-config-test
Aug 11, 2025
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Update model path in pytest configuration to use gpt-oss-20b#63
dphuang2 merged 1 commit intoaggregated-metrics-part-8from
fix-pytest-mcp-config-test

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@dphuang2 dphuang2 changed the title Update model path in pytest configuration to use gpt-oss-20b for test… Update model path in pytest configuration to use gpt-oss-20b Aug 11, 2025
@dphuang2 dphuang2 merged commit 19f9b05 into aggregated-metrics-part-8 Aug 11, 2025
@dphuang2 dphuang2 deleted the fix-pytest-mcp-config-test branch August 11, 2025 23:10
dphuang2 pushed a commit that referenced this pull request Aug 11, 2025
* add --port arg to ep logs

* Fix WebSocketManager to reset broadcast task after cancellation

* simple tests work

* TODO: TestLogsServer

* TODO: TestLogsServerIntegration

* TODO: test HTML injection
- also test TestAsyncWebSocketOperations

* add logs server tests

* add port parameter testes

* use gpt-oss-120b to avoid rate limits

* point to port 8000 for dev

* woops

* fix "uvicorn eval_protocol.utils.logs_server:create_app --factory --reload"

* use gpt-oss-120b since less rate limiting (#57)

* Aggregated metrics part 7 (#58)

* use gpt-oss-120b for less rate limits and faster tests

* fix typeerror

* Refactor LogsServer event handling and improve integration tests

- Moved event_bus.start_listening() to the correct location in LogsServer to ensure it starts listening during the broadcast loop.
- Updated integration tests to use multiprocessing for server startup and improved health check validation.
- Enhanced test_create_app_factory to be asynchronous and added necessary imports for better clarity.

* Enhance test_create_app_factory to verify LogsServer start_loops call

- Updated the test_create_app_factory to mock and assert that the start_loops method of LogsServer is called during app creation.
- Ensured the test remains asynchronous and maintains clarity in its assertions.

* fix

* use active logger

* cohort -> experiment

* vite build

* Update model path in pytest configuration to use gpt-oss-120b for improved performance

* move ids under execution_metadata

* Update model path in pytest configuration to use gpt-oss-20b for testing adjustments (#63)
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