Post-merge validation fixes (upstream v0.3.0 + Ai4Sci fork):
- llm/patches.py: restore the two module-level patch calls the merge dropped
(_patch_openai_empty_sse_keepalive, _patch_deepagents_extracted_document_text)
and make _is_ccproxy_codex accept an explicit base_url/api_key so the
invocation plan can classify an endpoint without mutating the process env.
- llm/models.py: an explicit per-call plan now wins over
EVOSCIENTIST_USE_RESPONSES_API (env is only a default), an explicit caller
`reasoning` block survives an explicit use_responses_api=False, and the
third-party (openrouter) default effort stays the fork's fixed `medium`.
- EvoScientist.py: sub-agent stacks pass NO_OP_SINK as `events` instead of None.
- middleware/error_normalization.py: platform-generated diagnostics
(ModelOutputTruncatedError) keep their actionable text while provider SDK
errors still get the canned redacted message.
- pyproject.toml: hold google-genai 1.x (langchain-google-genai>=4.3.7,<4.4)
because llm/gemini_interactions.py drives the 1.x Interactions API; this is
also what deepagents 0.7.13 requires.
- config/settings.py: restore upstream's use_responses_api config field.
`reasoning_effort` stays deleted on purpose — Ai4Sci keeps reasoning an
invocation-plan parameter, never a deployment-env override.
- tests: align upstream tests that encode replaced behaviour (ccproxy
responses-api context, reasoning-effort-overrides-env, fingerprint coverage)
with the fork's contracts.
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