feat(providers): support DeepSeek V4 Pro Responses
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@@ -1158,7 +1158,8 @@ class OpenAICompatProvider(LLMProvider):
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self._sanitize_empty_content(sanitized_state.pending_messages)
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)
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)
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preserve_reasoning = bool(self._spec and self._spec.name == "deepseek")
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is_deepseek = bool(self._spec and self._spec.name == "deepseek")
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preserve_reasoning = is_deepseek
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instructions, input_items, replayed = prepare_responses_input(
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sanitized_messages,
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state=sanitized_state,
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@@ -1194,7 +1195,7 @@ class OpenAICompatProvider(LLMProvider):
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if not self._supports_temperature(model_name, reasoning_effort) and not preserve_reasoning:
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body["include"] = ["reasoning.encrypted_content"]
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if reasoning_effort and reasoning_effort.lower() != "none":
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if reasoning_effort and (reasoning_effort.lower() != "none" or is_deepseek):
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body["reasoning"] = {"effort": reasoning_effort}
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if replayed and "gpt-5.6" in model_name.lower():
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body.setdefault("reasoning", {})["context"] = "all_turns"
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@@ -112,8 +112,7 @@ class ProviderSpec:
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implicit_reasoning_models: tuple[str, ...] = ()
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# Models that expose the OpenAI Responses wire format. This is model-level
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# because providers may add Responses support incrementally (DeepSeek V4
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# Flash is supported before V4 Pro).
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# because providers may add Responses support incrementally.
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responses_models: tuple[str, ...] = ()
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# Provider-hosted Responses tools sent unless extraBody.tools explicitly
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@@ -482,7 +481,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
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backend="openai_compat",
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default_api_base="https://api.deepseek.com",
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thinking_style="thinking_type",
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responses_models=("deepseek-v4-flash",),
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responses_models=("deepseek-v4-flash", "deepseek-v4-pro"),
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responses_default_tools=("web_search",),
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),
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# Gemini: Google's OpenAI-compatible endpoint
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