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525 lines
14 KiB
Go
525 lines
14 KiB
Go
package provider
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"net/url"
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"strings"
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"GoNavi-Wails/internal/ai"
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)
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const (
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defaultAnthropicBaseURL = "https://api.anthropic.com"
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anthropicAPIVersion = "2023-06-01"
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)
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func normalizeAnthropicMessagesURL(baseURL string) string {
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url := strings.TrimRight(strings.TrimSpace(baseURL), "/")
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if url == "" {
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url = defaultAnthropicBaseURL
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}
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if strings.HasSuffix(url, "/messages") {
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return url
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}
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if strings.HasSuffix(url, "/v1") {
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return url + "/messages"
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}
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return url + "/v1/messages"
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}
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func IsDashScopeAnthropicCompatibleBaseURL(baseURL string) bool {
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parsed, err := url.Parse(strings.TrimSpace(baseURL))
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if err != nil {
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return false
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}
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host := strings.ToLower(parsed.Hostname())
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return host == "dashscope.aliyuncs.com" || host == "coding.dashscope.aliyuncs.com"
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}
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func ApplyAnthropicAuthHeaders(headers http.Header, baseURL string, apiKey string) {
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headers.Set("x-api-key", apiKey)
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if IsDashScopeAnthropicCompatibleBaseURL(baseURL) {
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headers.Set("Authorization", "Bearer "+apiKey)
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headers.Del("anthropic-version")
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return
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}
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headers.Set("anthropic-version", anthropicAPIVersion)
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}
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// AnthropicProvider 实现 Anthropic Claude API 的 Provider
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type AnthropicProvider struct {
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config ai.ProviderConfig
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baseURL string
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client *http.Client
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}
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// NewAnthropicProvider 创建 Anthropic Provider 实例
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func NewAnthropicProvider(config ai.ProviderConfig) (Provider, error) {
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baseURL := strings.TrimRight(strings.TrimSpace(config.BaseURL), "/")
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if baseURL == "" {
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baseURL = defaultAnthropicBaseURL
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}
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model := strings.TrimSpace(config.Model)
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if model == "" {
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return nil, fmt.Errorf("模型 ID 不能为空，请在设置中选择或输入模型")
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}
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maxTokens := config.MaxTokens
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if maxTokens <= 0 {
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maxTokens = defaultOpenAIMaxTokens
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}
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temperature := config.Temperature
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if temperature <= 0 {
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temperature = defaultOpenAITemperature
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}
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normalized := config
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normalized.BaseURL = baseURL
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normalized.Model = model
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normalized.MaxTokens = maxTokens
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normalized.Temperature = temperature
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return &AnthropicProvider{
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config: normalized,
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baseURL: baseURL,
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client: &http.Client{Timeout: openAIHTTPTimeout},
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}, nil
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}
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func (p *AnthropicProvider) Name() string {
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if strings.TrimSpace(p.config.Name) != "" {
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return p.config.Name
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}
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return "Anthropic"
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}
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func (p *AnthropicProvider) Validate() error {
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if strings.TrimSpace(p.config.APIKey) == "" {
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return fmt.Errorf("API Key 不能为空")
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}
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return nil
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}
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// --- 请求体类型 ---
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type anthropicRequest struct {
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Model string `json:"model"`
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Messages []anthropicMessage `json:"messages"`
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System string `json:"system,omitempty"`
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MaxTokens int `json:"max_tokens"`
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Temperature float64 `json:"temperature,omitempty"`
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Stream bool `json:"stream,omitempty"`
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Tools []anthropicTool `json:"tools,omitempty"`
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}
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// anthropicTool Anthropic 格式的工具定义
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type anthropicTool struct {
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Name string `json:"name"`
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Description string `json:"description,omitempty"`
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InputSchema any `json:"input_schema"`
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}
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type anthropicMessage struct {
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Role string `json:"role"`
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Content interface{} `json:"content"`
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}
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// convertToolsToAnthropic 将 OpenAI 格式的 tools 转换为 Anthropic 格式
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func convertToolsToAnthropic(tools []ai.Tool) []anthropicTool {
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if len(tools) == 0 {
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return nil
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}
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result := make([]anthropicTool, 0, len(tools))
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for _, t := range tools {
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result = append(result, anthropicTool{
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Name: t.Function.Name,
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Description: t.Function.Description,
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InputSchema: t.Function.Parameters,
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})
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}
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return result
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}
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func buildAnthropicMessages(reqMessages []ai.Message) []anthropicMessage {
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messages := make([]anthropicMessage, 0, len(reqMessages))
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for _, m := range reqMessages {
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// tool result 消息：转换为 Anthropic 的 tool_result content block
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if m.Role == "tool" {
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messages = append(messages, anthropicMessage{
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Role: "user",
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Content: []map[string]interface{}{
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{
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"type": "tool_result",
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"tool_use_id": m.ToolCallID,
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"content": m.Content,
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},
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},
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})
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continue
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}
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// assistant 带 tool_calls：转换为 Anthropic 的 tool_use content block
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if m.Role == "assistant" && len(m.ToolCalls) > 0 {
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var contentParts []map[string]interface{}
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if m.Content != "" {
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contentParts = append(contentParts, map[string]interface{}{
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"type": "text",
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"text": m.Content,
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})
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}
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for _, tc := range m.ToolCalls {
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var input interface{}
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if err := json.Unmarshal([]byte(tc.Function.Arguments), &input); err != nil {
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input = map[string]interface{}{}
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}
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contentParts = append(contentParts, map[string]interface{}{
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"type": "tool_use",
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"id": tc.ID,
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"name": tc.Function.Name,
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"input": input,
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})
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}
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messages = append(messages, anthropicMessage{Role: "assistant", Content: contentParts})
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continue
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}
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// 图片消息
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if len(m.Images) > 0 {
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var contentParts []map[string]interface{}
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for _, img := range m.Images {
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mimeType, rawBase64, err := ParseDataURI(img)
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if err == nil {
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contentParts = append(contentParts, map[string]interface{}{
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"type": "image",
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"source": map[string]interface{}{
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"type": "base64",
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"media_type": mimeType,
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"data": rawBase64,
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},
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})
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}
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}
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text := m.Content
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if text == "" {
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text = "请描述和分析这张图片。"
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}
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contentParts = append(contentParts, map[string]interface{}{
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"type": "text",
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"text": text,
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})
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messages = append(messages, anthropicMessage{Role: m.Role, Content: contentParts})
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} else {
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messages = append(messages, anthropicMessage{Role: m.Role, Content: m.Content})
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}
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}
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return messages
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}
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// --- 响应体类型 ---
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type anthropicContentBlock struct {
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Type string `json:"type"` // "text" | "tool_use"
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Text string `json:"text,omitempty"`
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ID string `json:"id,omitempty"` // tool_use
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Name string `json:"name,omitempty"` // tool_use
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Input json.RawMessage `json:"input,omitempty"` // tool_use
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}
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type anthropicResponse struct {
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Content []anthropicContentBlock `json:"content"`
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Usage struct {
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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} `json:"usage"`
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Error *struct {
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Message string `json:"message"`
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} `json:"error,omitempty"`
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}
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// 流式事件类型
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type anthropicStreamEvent struct {
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Type string `json:"type"`
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Index int `json:"index,omitempty"`
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ContentBlock *anthropicContentBlock `json:"content_block,omitempty"`
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Delta *struct {
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Type string `json:"type,omitempty"`
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Text string `json:"text,omitempty"`
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PartialJSON string `json:"partial_json,omitempty"`
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} `json:"delta,omitempty"`
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}
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// --- Chat 非流式 ---
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func (p *AnthropicProvider) Chat(ctx context.Context, req ai.ChatRequest) (*ai.ChatResponse, error) {
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if err := p.Validate(); err != nil {
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return nil, err
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}
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systemMsg, messages := extractSystemMessage(req.Messages)
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anthropicMsgs := buildAnthropicMessages(messages)
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temperature := req.Temperature
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if temperature <= 0 {
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temperature = p.config.Temperature
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}
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maxTokens := req.MaxTokens
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if maxTokens <= 0 {
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maxTokens = p.config.MaxTokens
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}
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body := anthropicRequest{
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Model: p.config.Model,
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Messages: anthropicMsgs,
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System: systemMsg,
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MaxTokens: maxTokens,
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Temperature: temperature,
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Tools: convertToolsToAnthropic(req.Tools),
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}
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respBody, err := p.doRequest(ctx, body)
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if err != nil {
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if len(req.Tools) > 0 && isHTTP400Error(err) {
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body.Tools = nil
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respBody, err = p.doRequest(ctx, body)
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if err != nil {
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return nil, err
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}
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} else {
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return nil, err
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}
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}
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defer respBody.Close()
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var result anthropicResponse
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if err := json.NewDecoder(respBody).Decode(&result); err != nil {
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return nil, fmt.Errorf("解析 Anthropic 响应失败: %w", err)
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}
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if result.Error != nil && result.Error.Message != "" {
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return nil, fmt.Errorf("Anthropic API 错误: %s", result.Error.Message)
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}
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if len(result.Content) == 0 {
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return nil, fmt.Errorf("Anthropic 返回空响应")
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}
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// 解析响应中的 text 和 tool_use content blocks
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var textContent string
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var toolCalls []ai.ToolCall
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for _, block := range result.Content {
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switch block.Type {
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case "text":
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textContent += block.Text
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case "tool_use":
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argsStr := "{}"
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if len(block.Input) > 0 {
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argsStr = string(block.Input)
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}
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toolCalls = append(toolCalls, ai.ToolCall{
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ID: block.ID,
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Type: "function",
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Function: ai.ToolCallFunction{
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Name: block.Name,
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Arguments: argsStr,
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},
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})
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}
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}
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return &ai.ChatResponse{
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Content: textContent,
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ToolCalls: toolCalls,
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TokensUsed: ai.TokenUsage{
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PromptTokens: result.Usage.InputTokens,
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CompletionTokens: result.Usage.OutputTokens,
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TotalTokens: result.Usage.InputTokens + result.Usage.OutputTokens,
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},
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}, nil
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}
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// --- ChatStream 流式 ---
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func (p *AnthropicProvider) ChatStream(ctx context.Context, req ai.ChatRequest, callback func(ai.StreamChunk)) error {
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if err := p.Validate(); err != nil {
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return err
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}
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systemMsg, messages := extractSystemMessage(req.Messages)
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anthropicMsgs := buildAnthropicMessages(messages)
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temperature := req.Temperature
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if temperature <= 0 {
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temperature = p.config.Temperature
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}
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maxTokens := req.MaxTokens
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if maxTokens <= 0 {
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maxTokens = p.config.MaxTokens
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}
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body := anthropicRequest{
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Model: p.config.Model,
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Messages: anthropicMsgs,
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System: systemMsg,
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MaxTokens: maxTokens,
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Temperature: temperature,
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Stream: true,
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Tools: convertToolsToAnthropic(req.Tools),
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}
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respBody, err := p.doRequest(ctx, body)
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if err != nil {
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if len(req.Tools) > 0 && isHTTP400Error(err) {
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body.Tools = nil
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respBody, err = p.doRequest(ctx, body)
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if err != nil {
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return err
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}
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} else {
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return err
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}
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}
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defer respBody.Close()
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// 跟踪当前活跃的 tool_use blocks
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type activeToolUse struct {
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id string
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name string
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argsJSON strings.Builder
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}
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activeBlocks := make(map[int]*activeToolUse) // index -> block
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scanner := bufio.NewScanner(respBody)
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for scanner.Scan() {
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line := scanner.Text()
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if !strings.HasPrefix(line, "data: ") {
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continue
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}
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data := strings.TrimPrefix(line, "data: ")
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var event anthropicStreamEvent
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if err := json.Unmarshal([]byte(data), &event); err != nil {
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continue
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}
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switch event.Type {
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case "content_block_start":
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if event.ContentBlock != nil && event.ContentBlock.Type == "tool_use" {
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activeBlocks[event.Index] = &activeToolUse{
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id: event.ContentBlock.ID,
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name: event.ContentBlock.Name,
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}
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}
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case "content_block_delta":
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if event.Delta == nil {
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continue
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}
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switch event.Delta.Type {
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case "text_delta":
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if event.Delta.Text != "" {
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callback(ai.StreamChunk{Content: event.Delta.Text})
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}
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case "input_json_delta":
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if block, ok := activeBlocks[event.Index]; ok {
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block.argsJSON.WriteString(event.Delta.PartialJSON)
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}
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}
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case "content_block_stop":
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if block, ok := activeBlocks[event.Index]; ok {
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argsStr := block.argsJSON.String()
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if argsStr == "" {
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argsStr = "{}"
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}
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// 产出完整的 tool call
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callback(ai.StreamChunk{
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ToolCalls: []ai.ToolCall{
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{
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ID: block.id,
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Type: "function",
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Function: ai.ToolCallFunction{
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Name: block.name,
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Arguments: argsStr,
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},
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},
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},
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})
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delete(activeBlocks, event.Index)
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}
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case "message_stop":
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callback(ai.StreamChunk{Done: true})
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return nil
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}
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}
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callback(ai.StreamChunk{Done: true})
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return scanner.Err()
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}
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// --- HTTP 请求 ---
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func (p *AnthropicProvider) doRequest(ctx context.Context, body interface{}) (io.ReadCloser, error) {
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jsonBody, err := json.Marshal(body)
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if err != nil {
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return nil, fmt.Errorf("序列化请求失败: %w", err)
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}
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url := normalizeAnthropicMessagesURL(p.baseURL)
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(jsonBody))
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if err != nil {
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return nil, fmt.Errorf("创建 HTTP 请求失败: %w", err)
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}
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httpReq.Header.Set("Content-Type", "application/json")
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ApplyAnthropicAuthHeaders(httpReq.Header, p.baseURL, p.config.APIKey)
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if strings.Contains(string(jsonBody), `"stream":true`) || strings.Contains(string(jsonBody), `"stream": true`) {
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httpReq.Header.Set("Accept", "text/event-stream")
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httpReq.Header.Set("Cache-Control", "no-cache")
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httpReq.Header.Set("Connection", "keep-alive")
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}
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// 仅官方 API 发 beta 特性头（代理不发，避免触发 Claude Code 验证）
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isOfficialAPI := p.baseURL == defaultAnthropicBaseURL || strings.Contains(p.baseURL, "anthropic.com")
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if isOfficialAPI {
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httpReq.Header.Set("anthropic-beta", "interleaved-thinking-2025-05-14,output-128k-2025-02-19,prompt-caching-2024-07-31")
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}
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// 自定义 headers（用于兼容各类代理服务）
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for k, v := range p.config.Headers {
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httpReq.Header.Set(k, v)
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}
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resp, err := p.client.Do(httpReq)
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if err != nil {
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return nil, fmt.Errorf("发送请求到 %s 失败: %w", url, err)
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}
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if resp.StatusCode != http.StatusOK {
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defer resp.Body.Close()
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bodyBytes, _ := io.ReadAll(resp.Body)
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return nil, fmt.Errorf("Anthropic API 返回错误 (HTTP %d): %s", resp.StatusCode, string(bodyBytes))
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}
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return resp.Body, nil
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}
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// extractSystemMessage 从消息列表中提取 system 消息（Anthropic 要求 system 作为独立字段）
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func extractSystemMessage(messages []ai.Message) (string, []ai.Message) {
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var systemParts []string
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var remaining []ai.Message
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for _, m := range messages {
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if m.Role == "system" {
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systemParts = append(systemParts, m.Content)
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} else {
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remaining = append(remaining, m)
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}
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}
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return strings.Join(systemParts, "\n\n"), remaining
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}
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