tests: verify LLM forwards all attributes to LiteLLM (exposes missing custom_llm_provider) #981
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…ssing custom_llm_provider) Adds a unit test that patches litellm.completion and asserts both sampling options (temperature/top_p/top_k, max tokens) and transport-level options (base_url, api_version, timeout, drop_params, seed, custom_llm_provider) are forwarded from LLM to LiteLLM. The test currently fails on main due to custom_llm_provider not being passed through. Co-authored-by: openhands <[email protected]>
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…last Adds tests/sdk/llm/test_llm_responses_attr_forwarding.py which patches litellm.responses and verifies forwarding of transport-level params and responses options. The check for custom_llm_provider (known missing) is placed at the end so earlier regressions are visible first. Co-authored-by: openhands <[email protected]>
…est; make Responses API patch return minimal typed response This reorders the known failing assertion in the chat-completions test and fixes the Responses test to return a minimal ResponsesAPIResponse so other kwargs assertions can execute. Co-authored-by: openhands <[email protected]>
…ures; keep custom_llm_provider assertion last - Use gpt-5-mini to ensure uses_responses_api=True - Include a system message so instructions is non-empty - Leave known failing custom_llm_provider assertion last Co-authored-by: openhands <[email protected]>
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Summary
Add a unit test that validates all relevant LLM attributes are forwarded to LiteLLM when invoking completion(). The test patches openhands.sdk.llm.llm.litellm_completion and inspects the kwargs it receives.
What it tests
Expected outcome
This test is expected to fail on current main due to custom_llm_provider not being forwarded to LiteLLM (see discussion in PR #963). The failure is intentional to surface the gap.
Why this is useful
This ensures regression coverage so any attributes defined on LLM that should be visible to LiteLLM are actually passed through, not only the ones handled specially in select_chat_options().
Notes
Co-authored-by: openhands [email protected]
@enyst can click here to continue refining the PR