- OpenAI client → Claude model: gateway routes to /v1/chat/completions
(not /v1/messages), so use setup_openai_chat_mock
- Responses API: gateway translates all requests to /v1/chat/completions
on upstream with base_url providers, so use setup_openai_chat_mock
- Remove unused imports (json, pytest, setup_responses_api_mock)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Import HandlerType from pytest_httpserver.httpserver (not top-level)
- Apply Black formatting to all new test files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce a new mock-based E2E test suite that uses pytest_httpserver to
simulate LLM provider responses, eliminating the need for real API keys
on PR builds. The mock tests cover model alias routing, protocol
transformation (OpenAI↔Anthropic), Responses API passthrough/translation,
streaming, tool calls, thinking mode, and multi-turn state management.
CI changes:
- Add mock-e2e-tests job (zero secrets, runs on every PR)
- Gate all live E2E jobs to main pushes + nightly schedule
- Scope secrets to only the keys each job actually needs
- Add daily cron schedule for full live test coverage
Also relaxes exact-match assertions in live e2e tests to structural
checks (non-null, non-empty) since LLM output is non-deterministic.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
