picoclaw/pkg/providers/openai_compat/provider.go

package openai_compat

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"net/url"
	"strings"
	"time"

	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
)

type (
	ToolCall               = protocoltypes.ToolCall
	FunctionCall           = protocoltypes.FunctionCall
	LLMResponse            = protocoltypes.LLMResponse
	UsageInfo              = protocoltypes.UsageInfo
	Message                = protocoltypes.Message
	ToolDefinition         = protocoltypes.ToolDefinition
	ToolFunctionDefinition = protocoltypes.ToolFunctionDefinition
	ExtraContent           = protocoltypes.ExtraContent
	GoogleExtra            = protocoltypes.GoogleExtra
)

type Provider struct {
	apiKey         string
	apiBase        string
	maxTokensField string // Field name for max tokens (e.g., "max_completion_tokens" for o1/glm models)
	httpClient     *http.Client
}

func NewProvider(apiKey, apiBase, proxy string) *Provider {
	return NewProviderWithMaxTokensField(apiKey, apiBase, proxy, "")
}

func NewProviderWithMaxTokensField(apiKey, apiBase, proxy, maxTokensField string) *Provider {
	client := &http.Client{
		Timeout: 120 * time.Second,
	}

	if proxy != "" {
		parsed, err := url.Parse(proxy)
		if err == nil {
			client.Transport = &http.Transport{
				Proxy: http.ProxyURL(parsed),
			}
		} else {
			log.Printf("openai_compat: invalid proxy URL %q: %v", proxy, err)
		}
	}

	return &Provider{
		apiKey:         apiKey,
		apiBase:        strings.TrimRight(apiBase, "/"),
		maxTokensField: maxTokensField,
		httpClient:     client,
	}
}

func (p *Provider) Chat(
	ctx context.Context,
	messages []Message,
	tools []ToolDefinition,
	model string,
	options map[string]any,
) (*LLMResponse, error) {
	if p.apiBase == "" {
		return nil, fmt.Errorf("API base not configured")
	}

	model = normalizeModel(model, p.apiBase)

	requestBody := map[string]any{
		"model":    model,
		"messages": messages,
	}

	if len(tools) > 0 {
		requestBody["tools"] = tools
		requestBody["tool_choice"] = "auto"
	}

	if maxTokens, ok := asInt(options["max_tokens"]); ok {
		// Use configured maxTokensField if specified, otherwise fallback to model-based detection
		fieldName := p.maxTokensField
		if fieldName == "" {
			// Fallback: detect from model name for backward compatibility
			lowerModel := strings.ToLower(model)
			if strings.Contains(lowerModel, "glm") || strings.Contains(lowerModel, "o1") ||
				strings.Contains(lowerModel, "gpt-5") {
				fieldName = "max_completion_tokens"
			} else {
				fieldName = "max_tokens"
			}
		}
		requestBody[fieldName] = maxTokens
	}

	if temperature, ok := asFloat(options["temperature"]); ok {
		lowerModel := strings.ToLower(model)
		// Kimi k2 models only support temperature=1.
		if strings.Contains(lowerModel, "kimi") && strings.Contains(lowerModel, "k2") {
			requestBody["temperature"] = 1.0
		} else {
			requestBody["temperature"] = temperature
		}
	}

	jsonData, err := json.Marshal(requestBody)
	if err != nil {
		return nil, fmt.Errorf("failed to marshal request: %w", err)
	}

	req, err := http.NewRequestWithContext(ctx, "POST", p.apiBase+"/chat/completions", bytes.NewReader(jsonData))
	if err != nil {
		return nil, fmt.Errorf("failed to create request: %w", err)
	}

	req.Header.Set("Content-Type", "application/json")
	if p.apiKey != "" {
		req.Header.Set("Authorization", "Bearer "+p.apiKey)
	}

	resp, err := p.httpClient.Do(req)
	if err != nil {
		return nil, fmt.Errorf("failed to send request: %w", err)
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, fmt.Errorf("failed to read response: %w", err)
	}

	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("API request failed:\n  Status: %d\n  Body:   %s", resp.StatusCode, string(body))
	}

	return parseResponse(body)
}

func parseResponse(body []byte) (*LLMResponse, error) {
	var apiResponse struct {
		Choices []struct {
			Message struct {
				Content          string `json:"content"`
				ReasoningContent string `json:"reasoning_content"`
				ToolCalls        []struct {
					ID       string `json:"id"`
					Type     string `json:"type"`
					Function *struct {
						Name      string `json:"name"`
						Arguments string `json:"arguments"`
					} `json:"function"`
					ExtraContent *struct {
						Google *struct {
							ThoughtSignature string `json:"thought_signature"`
						} `json:"google"`
					} `json:"extra_content"`
				} `json:"tool_calls"`
			} `json:"message"`
			FinishReason string `json:"finish_reason"`
		} `json:"choices"`
		Usage *UsageInfo `json:"usage"`
	}

	if err := json.Unmarshal(body, &apiResponse); err != nil {
		return nil, fmt.Errorf("failed to unmarshal response: %w", err)
	}

	if len(apiResponse.Choices) == 0 {
		return &LLMResponse{
			Content:      "",
			FinishReason: "stop",
		}, nil
	}

	choice := apiResponse.Choices[0]
	toolCalls := make([]ToolCall, 0, len(choice.Message.ToolCalls))
	for _, tc := range choice.Message.ToolCalls {
		arguments := make(map[string]any)
		name := ""

		// Extract thought_signature from Gemini/Google-specific extra content
		thoughtSignature := ""
		if tc.ExtraContent != nil && tc.ExtraContent.Google != nil {
			thoughtSignature = tc.ExtraContent.Google.ThoughtSignature
		}

		if tc.Function != nil {
			name = tc.Function.Name
			if tc.Function.Arguments != "" {
				if err := json.Unmarshal([]byte(tc.Function.Arguments), &arguments); err != nil {
					log.Printf("openai_compat: failed to decode tool call arguments for %q: %v", name, err)
					arguments["raw"] = tc.Function.Arguments
				}
			}
		}

		// Build ToolCall with ExtraContent for Gemini 3 thought_signature persistence
		toolCall := ToolCall{
			ID:               tc.ID,
			Name:             name,
			Arguments:        arguments,
			ThoughtSignature: thoughtSignature,
		}

		if thoughtSignature != "" {
			toolCall.ExtraContent = &ExtraContent{
				Google: &GoogleExtra{
					ThoughtSignature: thoughtSignature,
				},
			}
		}

		toolCalls = append(toolCalls, toolCall)
	}

	return &LLMResponse{
		Content:          choice.Message.Content,
		ReasoningContent: choice.Message.ReasoningContent,
		ToolCalls:        toolCalls,
		FinishReason:     choice.FinishReason,
		Usage:            apiResponse.Usage,
	}, nil
}

func normalizeModel(model, apiBase string) string {
	idx := strings.Index(model, "/")
	if idx == -1 {
		return model
	}

	if strings.Contains(strings.ToLower(apiBase), "openrouter.ai") {
		return model
	}

	prefix := strings.ToLower(model[:idx])
	switch prefix {
	case "moonshot", "nvidia", "groq", "ollama", "deepseek", "google", "openrouter", "zhipu":
		return model[idx+1:]
	default:
		return model
	}
}

func asInt(v any) (int, bool) {
	switch val := v.(type) {
	case int:
		return val, true
	case int64:
		return int(val), true
	case float64:
		return int(val), true
	case float32:
		return int(val), true
	default:
		return 0, false
	}
}

func asFloat(v any) (float64, bool) {
	switch val := v.(type) {
	case float64:
		return val, true
	case float32:
		return float64(val), true
	case int:
		return float64(val), true
	case int64:
		return float64(val), true
	default:
		return 0, false
	}
}