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fix: preserve reasoning_content for thinking models in multi-turn conversations

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GLM-Z1 and other thinking models require reasoning_content to be preserved
across tool call iterations. Without this, the API returns:
  'thinking is enabled but reasoning_content is missing in assistant tool call message'

Changes:
- Add ReasoningContent field to LLMResponse and Message types
- Parse reasoning_content from API response
- Preserve ReasoningContent when building assistant messages with tool calls
This commit is contained in:
mxrain 2026-02-14 14:14:31 +08:00
parent 5872e0f55e
commit 39998a6618
3 changed files with 20 additions and 15 deletions
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5
pkg/agent/loop.go
View file

@ -480,8 +480,9 @@ func (al *AgentLoop) runLLMIteration(ctx context.Context, messages []providers.M
// Build assistant message with tool calls
assistantMsg := providers.Message{
Role: "assistant",
Content: response.Content,
Role: "assistant",
Content: response.Content,
ReasoningContent: response.ReasoningContent, // Preserve for thinking models (e.g., GLM-Z1)
}
for _, tc := range response.ToolCalls {
argumentsJSON, _ := json.Marshal(tc.Arguments)

12
pkg/providers/http_provider.go
View file

@ -126,7 +126,8 @@ func (p *HTTPProvider) parseResponse(body []byte) (*LLMResponse, error) {
var apiResponse struct {
Choices []struct {
Message struct {
Content string `json:"content"`
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content"` // For thinking models (e.g., GLM-Z1)
ToolCalls []struct {
ID string `json:"id"`
Type string `json:"type"`
@ -185,10 +186,11 @@ func (p *HTTPProvider) parseResponse(body []byte) (*LLMResponse, error) {
}
return &LLMResponse{
Content: choice.Message.Content,
ToolCalls: toolCalls,
FinishReason: choice.FinishReason,
Usage: apiResponse.Usage,
Content: choice.Message.Content,
ReasoningContent: choice.Message.ReasoningContent,
ToolCalls: toolCalls,
FinishReason: choice.FinishReason,
Usage: apiResponse.Usage,
}, nil
}

18
pkg/providers/types.go
View file

@ -16,10 +16,11 @@ type FunctionCall struct {
}
type LLMResponse struct {
Content string `json:"content"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
FinishReason string `json:"finish_reason"`
Usage *UsageInfo `json:"usage,omitempty"`
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content,omitempty"` // For thinking models (e.g., GLM-Z1)
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
FinishReason string `json:"finish_reason"`
Usage *UsageInfo `json:"usage,omitempty"`
}
type UsageInfo struct {
@ -29,10 +30,11 @@ type UsageInfo struct {
}
type Message struct {
Role string `json:"role"`
Content string `json:"content"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
ToolCallID string `json:"tool_call_id,omitempty"`
Role string `json:"role"`
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content,omitempty"` // For thinking models (e.g., GLM-Z1)
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
ToolCallID string `json:"tool_call_id,omitempty"`
}
type LLMProvider interface {