Add reasoningContent for model chat#402
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Pull request overview
Adds support for sending provider-specific assistant “reasoning content” back to chat-completions compatible APIs (e.g., DeepSeek Reasoner) by extending the encoded assistant message payload.
Changes:
- Add
reasoningContent: String?toChatQuery.ChatCompletionMessageParam.AssistantMessageParam, encoded asreasoning_content. - Thread
reasoningContentthrough the convenienceChatCompletionMessageParam.init?(role:content:...)when constructing.assistantmessages. - Add a coding test to verify
reasoning_contentis emitted when provided.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
Sources/OpenAI/Public/Models/ChatQuery.swift |
Introduces reasoningContent on assistant message params and encodes it as reasoning_content. |
Tests/OpenAITests/ChatQueryCodingTests.swift |
Adds a JSON encoding test covering reasoning_content serialization. |
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What
Add reasoningContent to the model invocation request body.
Why
Some models require the reasoningContent parameter to be passed in multiple calls within the same conversation round; otherwise, an error will occur. A typical example is the DeepSeek Reasoner model. See the official documentation: https://api-docs.deepseek.com/guides/thinking_mode#tool-calls
Affected Areas
Add a reasoningContent field to the message, defaulting to nil. It is passed to the model invocation only when explicitly provided.