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tests: pin ink engine in _make_tui_argv npm-bootstrap tests (post-merge semantic fix)
Main's rewritten test_tui_npm_install.py tests call _make_tui_argv expecting the Ink/npm flow unconditionally; with the dual-engine dispatch merged in, _resolve_tui_engine() auto-selects opentui whenever ui-opentui/dist is built in the repo, routing the call away from the path under test (first subprocess became 'node --version' instead of 'npm run build'). Pin the engine to ink via an autouse fixture, mirroring the existing pinning precedent in test_tui_resume_flow.py.
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756 changed files with 79874 additions and 19585 deletions
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@ -549,14 +549,32 @@ def classify_api_error(
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should_fallback=True,
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)
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# Anthropic thinking block signature invalid (400).
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# Anthropic thinking block recovery (400). Two distinct failure modes,
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# same recovery (strip all reasoning_details and retry without thinking
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# blocks — see the thinking_signature handler in conversation_loop.py):
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# 1. Signature mismatch: a thinking block is signed against the full
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# turn content; any upstream mutation (context compression, session
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# truncation, message merging) invalidates the signature.
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# Pattern: "signature" + "thinking".
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# 2. Frozen-block mutation: Anthropic rejects any change to the
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# thinking/redacted_thinking blocks in the *latest* assistant
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# message — "`thinking` or `redacted_thinking` blocks in the latest
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# assistant message cannot be modified. These blocks must remain as
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# they were in the original response." This carries no "signature"
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# token, so the original pattern missed it and the turn hard-aborted
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# as a non-retryable client error instead of self-healing.
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# Pattern: "thinking" + ("cannot be modified" | "must remain as they were").
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# Don't gate on provider — OpenRouter proxies Anthropic errors, so the
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# provider may be "openrouter" even though the error is Anthropic-specific.
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# The message pattern ("signature" + "thinking") is unique enough.
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# The combined patterns are unique enough.
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if (
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status_code == 400
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and "signature" in error_msg
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and "thinking" in error_msg
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and (
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"signature" in error_msg
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or "cannot be modified" in error_msg
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or "must remain as they were" in error_msg
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)
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):
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return _result(
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FailoverReason.thinking_signature,
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@ -966,6 +984,34 @@ def _classify_400(
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should_fallback=False,
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)
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# Request-validation errors (unsupported / unknown parameter) MUST be
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# checked BEFORE context_overflow. A GPT-5 model rejecting max_tokens
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# returns:
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# "Unsupported parameter: 'max_tokens' is not supported with this model.
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# Use 'max_completion_tokens' instead."
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# That string contains the literal substring "max_tokens", which is one of
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# the _CONTEXT_OVERFLOW_PATTERNS — so without this guard the 400 is
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# misclassified as context_overflow, routed into the compression loop,
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# re-sent with the same bad parameter, and ends in "Cannot compress
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# further". These errors are deterministic (every retry gets the identical
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# rejection), so classify as a non-retryable format_error and fall back.
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#
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# NOTE: we deliberately do NOT key off the generic ``invalid_request_error``
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# code here — OpenAI stamps that same code on genuine context-overflow 400s,
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# so matching it would mis-route real overflows away from compression. The
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# unambiguous signals are the explicit "unsupported/unknown parameter"
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# message text and the specific parameter-level error codes.
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if (
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any(p in error_msg for p in _REQUEST_VALIDATION_PATTERNS
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if p != "invalid_request_error")
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or error_code_lower in {"unknown_parameter", "unsupported_parameter"}
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):
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return result_fn(
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FailoverReason.format_error,
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retryable=False,
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should_fallback=True,
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)
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# Context overflow from 400
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if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
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return result_fn(
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