fix(backends): make streamed replies and session state consistent
- Validate stage prefixes before forwarding model tokens. Invalid prefixes may use the existing repair budget; once output starts, validation failure aborts the turn without appending a regenerated reply. Bound the token queue and close inner streams when consumption stops. - Replace delete-time lock eviction with reference-counted session locks covering holders and waiters. Serialize set/get with chat/stream/delete and release cancelled waiters without replacing a live lock. - Store person synonyms under workflow-native driver keys and expose consistent alias views to single/group reads and graph prompt injection. - Separate committed field patches from public formUpdate visibility. Commit callbacks keep repository fields synchronized even when updates are hidden or the consumer closes after graph completion. - Disable OpenAI SDK automatic retries. Own bounded retry attempts in the application, use 1/2/4 second backoff, retry streams only before text is emitted, enforce attempt timeouts, and close upstream/client resources. - Translate FastGPT SDK max_retries (total attempts) from the configured extra-retry count, and verify the real SDK loop uses four attempts. - Document the per-LLM budget and streaming failure semantics without claiming the whole multi-call HTTP turn has the same timeout. Validation: 267 offline tests passed, including actual SDK requests through MockTransport, stream repair/abort, timeout/close, lock races, aliases and formUpdate visibility; existing four dependency deprecation warnings.
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@@ -64,7 +64,7 @@ async def test_stream_tokens_yields_incrementally_and_forwards_kwargs():
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assert kwargs["model"] == "test-model"
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assert kwargs["stream"] is True
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assert kwargs["temperature"] == 0
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assert kwargs["reasoning_effort"] == "none" # extra_body 透传
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assert kwargs["extra_body"]["reasoning_effort"] == "none" # extra_body 透传
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assert kwargs["messages"][0] == {"role": "system", "content": "系统"}
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assert kwargs["messages"][-1] == {"role": "user", "content": "输入"}
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