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tests: add unit tests for Responses API#634

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enyst merged 3 commits intoresponsefrom
chore/add-responses-tests
Oct 4, 2025
Merged

tests: add unit tests for Responses API#634
enyst merged 3 commits intoresponsefrom
chore/add-responses-tests

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@enyst enyst commented Oct 4, 2025

This PR adds focused unit tests validating the new Responses API functionality introduced on the response branch.

What’s covered

  • Message serialization for Responses:
    • system → instructions string (concatenation with separators)
    • user → input_text and input_image (vision gating respected)
    • assistant → output_text content and function_call items (fc_ id prefix)
    • tool → function_call_output items with matching call_id
  • Message.from_llm_responses_output() parsing:
    • Aggregates assistant output_text
    • Normalizes function_call to MessageToolCall
    • Maps typed reasoning to ReasoningItemModel
  • LLM._normalize_responses_kwargs() policy:
    • temperature=1.0, tool_choice="auto"
    • include encrypted reasoning when enabled
    • store defaults False; reasoning defaults to detailed summary
    • max_output_tokens passthrough
  • LLM.responses() integration (mocked litellm.responses):
    • End-to-end test returns proper assistant Message and records usage in telemetry
  • ToolBase.to_responses_tool():
    • Ensures type=function, strict=True, and parameters schema present

Files added

  • tests/sdk/llm/test_responses_serialization.py
  • tests/sdk/llm/test_responses_parsing_and_kwargs.py
  • tests/sdk/tool/test_to_responses_tool.py

Notes

  • No source changes; tests use current litellm/openai typed models available in this repo.
  • Full test suite: 1487 passed locally.

Co-authored-by: openhands openhands@all-hands.dev

@enyst can click here to continue refining the PR

enyst and others added 2 commits October 4, 2025 00:11
- Message.to_responses_dict/value serialization (system/user/assistant/tool)
- Message.from_llm_responses_output parsing and reasoning mapping
- LLM._normalize_responses_kwargs policy and end-to-end responses() with mocked litellm
- ToolBase.to_responses_tool strict schema export

Co-authored-by: openhands <openhands@all-hands.dev>
Provide model when constructing LLM so pydantic validation passes

Co-authored-by: openhands <openhands@all-hands.dev>
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openhands-ai bot commented Oct 4, 2025

Looks like there are a few issues preventing this PR from being merged!

  • GitHub Actions are failing:
    • Run tests

If you'd like me to help, just leave a comment, like

@OpenHands please fix the failing actions on PR #634 at branch `chore/add-responses-tests`

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@enyst enyst changed the title tests: add unit tests for Responses API (serialization, parsing, kwargs policy, tool schema) tests: add unit tests for Responses API Oct 4, 2025
…ss annotations

- Switch test LLM model to gpt-5-mini to align with responses gating
- Fix Pydantic override error by instantiating ToolBase subclass with fields

Co-authored-by: openhands <openhands@all-hands.dev>
@enyst enyst marked this pull request as ready for review October 4, 2025 00:50
@enyst enyst merged commit ab97401 into response Oct 4, 2025
8 checks passed
@enyst enyst deleted the chore/add-responses-tests branch October 4, 2025 00:50
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