support openai compatible model reasoning content in streaming response#13
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sjy3 merged 2 commits intovolcengine:mainfrom Jan 4, 2026
Merged
support openai compatible model reasoning content in streaming response#13sjy3 merged 2 commits intovolcengine:mainfrom
sjy3 merged 2 commits intovolcengine:mainfrom
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UnderTreeTech
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When the thinking mode is activated, the web page will generate multiple messages. If you are willing to fix the above issue, please resubmit a pull request (PR). |
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@sjy3 Add a standard AfterModelCallback implementation that filters thought content. This allows flexible control over thought visibility: func ThoughtFilterCallback(ctx agent.CallbackContext, llmResponse *model.LLMResponse, llmResponseError error) (*model.LLMResponse, error) {
if llmResponseError != nil || llmResponse == nil || llmResponse.Content == nil {
return nil, nil
}
var filteredParts []*genai.Part
hasThought := false
for _, part := range llmResponse.Content.Parts {
if !part.Thought {
filteredParts = append(filteredParts, part)
} else {
hasThought = true
}
}
if hasThought {
newResponse := *llmResponse
newResponse.Content = &genai.Content{
Role: llmResponse.Content.Role,
Parts: filteredParts,
}
return &newResponse, nil
}
return nil, nil
}Usage: agent, err := llmagent.New(llmagent.Config{
Name: "MyAgent",
Model: model,
AfterModelCallbacks: []llmagent.AfterModelCallback{
ThoughtFilterCallback, // Filter thought content
},
})Benefits
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support reasoning content in streaming response, therefore user can custom AfterModelCallback to filter thought response during streaming llm call.