package provider import ( "bytes" "context" "encoding/base64" "encoding/json" "fmt" "io" "net/http" "strings" "time" ) const openaiDefaultBaseURL = "https://api.openai.com" type openaiClient struct { apiKey string baseURL string name string oauth bool // when true, apiKey actually holds an OAuth access token headers map[string]string http *http.Client } // NewOpenAI creates an OpenAI client using an API key. baseURL may be empty. func NewOpenAI(apiKey, baseURL string) Client { if baseURL == "" { baseURL = openaiDefaultBaseURL } return &openaiClient{ apiKey: apiKey, baseURL: strings.TrimRight(baseURL, "/"), name: "openai", http: &http.Client{Timeout: 0}, } } // NewOpenAIOAuth creates an OpenAI client using a subscription OAuth access token. // The token is sent as an HTTP Bearer credential on the standard chat/completions endpoint. func NewOpenAIOAuth(accessToken, baseURL string) Client { if baseURL == "" { baseURL = openaiDefaultBaseURL } return &openaiClient{ apiKey: accessToken, baseURL: strings.TrimRight(baseURL, "/"), name: "openai", oauth: true, http: &http.Client{Timeout: 0}, } } // NewKimi creates a Kimi/Moonshot client. Kimi's chat API is OpenAI-compatible. func NewKimi(apiKey, baseURL string) Client { return NewKimiWithHeaders(apiKey, baseURL, nil) } // NewKimiWithHeaders creates a Kimi/Moonshot client with extra headers. // Subscription tokens from Kimi Code need the official CLI's X-Msh-* headers. func NewKimiWithHeaders(apiKey, baseURL string, headers map[string]string) Client { if baseURL == "" { baseURL = "https://api.kimi.com/coding/v1" } return &openaiClient{ apiKey: apiKey, baseURL: strings.TrimRight(baseURL, "/"), name: "kimi", headers: headers, http: &http.Client{Timeout: 0}, } } func (c *openaiClient) Name() string { if c.name != "" { return c.name } return "openai" } // ---- wire types ---- type oaiContentText struct { Type string `json:"type"` // "text" Text string `json:"text"` } type oaiContentImage struct { Type string `json:"type"` // "image_url" ImageURL struct { URL string `json:"url"` } `json:"image_url"` } type oaiToolCallFn struct { Name string `json:"name"` Arguments string `json:"arguments"` // JSON string } type oaiToolCall struct { ID string `json:"id"` Type string `json:"type"` // "function" Function oaiToolCallFn `json:"function"` } type oaiMessage struct { Role string `json:"role"` Content interface{} `json:"content,omitempty"` // string or []block Name string `json:"name,omitempty"` ToolCalls []oaiToolCall `json:"tool_calls,omitempty"` ToolCallID string `json:"tool_call_id,omitempty"` } type oaiTool struct { Type string `json:"type"` // "function" Function struct { Name string `json:"name"` Description string `json:"description,omitempty"` Parameters json.RawMessage `json:"parameters"` } `json:"function"` } type oaiStreamOptions struct { IncludeUsage bool `json:"include_usage"` } type oaiRequest struct { Model string `json:"model"` Messages []oaiMessage `json:"messages"` Tools []oaiTool `json:"tools,omitempty"` ToolChoice string `json:"tool_choice,omitempty"` Stream bool `json:"stream"` StreamOptions *oaiStreamOptions `json:"stream_options,omitempty"` Temperature *float32 `json:"temperature,omitempty"` MaxTokens *int `json:"max_tokens,omitempty"` MaxCompletionTok *int `json:"max_completion_tokens,omitempty"` ReasoningEffort string `json:"reasoning_effort,omitempty"` } // ---- request building ---- func (c *openaiClient) buildRequest(req Request) (*oaiRequest, error) { // Look up the model by id across all providers (not just openai) // because the OpenAI client is also used for ollama and other // OpenAI-compatible backends. m, err := FindModel("", req.Model) if err != nil { // Unknown model: use sensible defaults so local/custom // models still work without a catalog entry. m = Model{ ID: req.Model, ContextWindow: 32768, MaxOutput: 8192, } } out := &oaiRequest{ Model: req.Model, Stream: true, StreamOptions: &oaiStreamOptions{IncludeUsage: true}, Temperature: req.Temperature, } maxTok := req.MaxTokens if maxTok <= 0 { maxTok = m.MaxOutput } if m.Reasoning { out.MaxCompletionTok = &maxTok if req.Reasoning != "" { out.ReasoningEffort = strings.ToLower(req.Reasoning) } } else { out.MaxTokens = &maxTok } if req.System != "" { out.Messages = append(out.Messages, oaiMessage{Role: "system", Content: req.System}) } req.Messages = RepairOrphanedToolResults(req.Messages) for _, msg := range req.Messages { switch msg.Role { case RoleUser: content := buildOAIUserContent(msg.Content) out.Messages = append(out.Messages, oaiMessage{Role: "user", Content: content}) case RoleAssistant: am := oaiMessage{Role: "assistant"} var text strings.Builder for _, b := range msg.Content { switch v := b.(type) { case TextBlock: if text.Len() > 0 { text.WriteString("\n") } text.WriteString(v.Text) case ToolCallBlock: args := v.Arguments if len(args) == 0 { args = json.RawMessage("{}") } am.ToolCalls = append(am.ToolCalls, oaiToolCall{ ID: v.ID, Type: "function", Function: oaiToolCallFn{ Name: v.Name, Arguments: string(args), }, }) } } if text.Len() > 0 { am.Content = text.String() } out.Messages = append(out.Messages, am) case RoleTool: // Each ToolResultBlock becomes its own tool message. Preserve // image blocks for vision-capable OpenAI models instead of // flattening the tool output to plain text. for _, b := range msg.Content { if tr, ok := b.(ToolResultBlock); ok { content := buildOAIToolContent(tr.Content, tr.IsError) out.Messages = append(out.Messages, oaiMessage{ Role: "tool", ToolCallID: tr.CallID, Content: content, }) } } } } for _, t := range req.Tools { var tool oaiTool tool.Type = "function" tool.Function.Name = t.Name tool.Function.Description = t.Description tool.Function.Parameters = t.Schema out.Tools = append(out.Tools, tool) } if len(out.Tools) > 0 { out.ToolChoice = "auto" } return out, nil } func buildOAIUserContent(blocks []Content) interface{} { hasImage := false for _, b := range blocks { if _, ok := b.(ImageBlock); ok { hasImage = true break } } if !hasImage { var sb strings.Builder for _, b := range blocks { if tb, ok := b.(TextBlock); ok { if sb.Len() > 0 { sb.WriteString("\n") } sb.WriteString(tb.Text) } } return sb.String() } return buildOAIContentBlocks(blocks, false) } func buildOAIToolContent(blocks []Content, isError bool) interface{} { hasImage := false for _, b := range blocks { if _, ok := b.(ImageBlock); ok { hasImage = true break } } if !hasImage { var sb strings.Builder for _, b := range blocks { if tb, ok := b.(TextBlock); ok { if sb.Len() > 0 { sb.WriteString("\n") } sb.WriteString(tb.Text) } } if isError && sb.Len() > 0 { sb.WriteString(" [error]") } return sb.String() } return buildOAIContentBlocks(blocks, isError) } func buildOAIContentBlocks(blocks []Content, isError bool) []interface{} { var arr []interface{} for _, b := range blocks { switch v := b.(type) { case TextBlock: arr = append(arr, oaiContentText{Type: "text", Text: v.Text}) case ImageBlock: var img oaiContentImage img.Type = "image_url" img.ImageURL.URL = "data:" + v.MimeType + ";base64," + base64.StdEncoding.EncodeToString(v.Data) arr = append(arr, img) } } if isError { arr = append(arr, oaiContentText{Type: "text", Text: "[error]"}) } return arr } // ---- streaming ---- func (c *openaiClient) Stream(ctx context.Context, req Request) (<-chan Event, error) { apiPath := "/v1/chat/completions" if strings.HasSuffix(c.baseURL, "/v1") { apiPath = "/chat/completions" } wire, err := c.buildRequest(req) if err != nil { return nil, err } body, err := json.Marshal(wire) if err != nil { return nil, err } httpReq, err := http.NewRequestWithContext(ctx, "POST", c.baseURL+apiPath, bytes.NewReader(body)) if err != nil { return nil, err } httpReq.Header.Set("content-type", "application/json") httpReq.Header.Set("accept", "text/event-stream") httpReq.Header.Set("authorization", "Bearer "+c.apiKey) for k, v := range c.headers { httpReq.Header.Set(k, v) } resp, err := c.http.Do(httpReq) if err != nil { return nil, fmt.Errorf("openai: %w", err) } if resp.StatusCode != http.StatusOK { b, _ := io.ReadAll(resp.Body) resp.Body.Close() return nil, fmt.Errorf("openai: http %d: %s", resp.StatusCode, strings.TrimSpace(string(b))) } out := make(chan Event, 16) go c.runStream(ctx, resp, req, out) return out, nil } func (c *openaiClient) runStream(ctx context.Context, resp *http.Response, req Request, out chan<- Event) { defer close(out) defer resp.Body.Close() model, _ := FindModel("", req.Model) out <- EventStart{Model: req.Model, Provider: c.Name()} raw := make(chan sseEvent, 16) go readSSE(resp.Body, raw) // Interleaved block tracking: text and tool_calls preserve their // emission order so the assistant message renders in the same order // the model produced it. The builder fires one kind of block at a // time — incoming text deltas after a tool_call split into a fresh // text block; subsequent tool_calls each get their own slot. type blockEntry struct { kind string // "text" | "tool_use" textBuf strings.Builder toolID string toolName string toolArgs strings.Builder announced bool } var ( blocks []*blockEntry currentText *blockEntry // most-recent text block, nil if none toolByIdx = map[int]*blockEntry{} // openai tool_call index -> block usage Usage stop StopReason = StopEnd finalErr error ) appendText := func(delta string) { if currentText == nil { currentText = &blockEntry{kind: "text"} blocks = append(blocks, currentText) } currentText.textBuf.WriteString(delta) } getOrCreateTool := func(idx int) *blockEntry { if t, ok := toolByIdx[idx]; ok { return t } t := &blockEntry{kind: "tool_use"} toolByIdx[idx] = t blocks = append(blocks, t) // A new tool block breaks the current text block. Subsequent text // deltas will start a fresh text block after this tool. currentText = nil return t } assembleMsg := func() Message { content := []Content{} for _, b := range blocks { switch b.kind { case "text": if b.textBuf.Len() > 0 { content = append(content, TextBlock{Text: b.textBuf.String()}) } case "tool_use": args := b.toolArgs.String() if args == "" { args = "{}" } content = append(content, ToolCallBlock{ ID: b.toolID, Name: b.toolName, Arguments: json.RawMessage(args), }) } } return Message{Role: RoleAssistant, Content: content, Time: time.Now()} } sendDone := func() { usage.CostUSD = ComputeCost(model, usage) out <- EventUsage{Usage: usage} out <- EventDone{Stop: stop, Err: finalErr, Message: assembleMsg()} } for { select { case <-ctx.Done(): stop = StopAborted finalErr = ctx.Err() sendDone() return case ev, ok := <-raw: if !ok { sendDone() return } if ev.Data == "[DONE]" { sendDone() return } var chunk struct { Choices []struct { Index int `json:"index"` Delta struct { Content string `json:"content"` ToolCalls []struct { Index int `json:"index"` ID string `json:"id"` Type string `json:"type"` Function struct { Name string `json:"name"` Arguments string `json:"arguments"` } `json:"function"` } `json:"tool_calls"` } `json:"delta"` FinishReason string `json:"finish_reason"` } `json:"choices"` Usage *struct { PromptTokens int `json:"prompt_tokens"` CompletionTokens int `json:"completion_tokens"` PromptTokensDetails struct { CachedTokens int `json:"cached_tokens"` } `json:"prompt_tokens_details"` } `json:"usage"` Error *struct { Message string `json:"message"` Type string `json:"type"` } `json:"error"` } if err := json.Unmarshal([]byte(ev.Data), &chunk); err != nil { continue } if chunk.Error != nil { stop = StopError finalErr = fmt.Errorf("openai: %s", chunk.Error.Message) sendDone() return } if chunk.Usage != nil { usage.InputTokens = chunk.Usage.PromptTokens - chunk.Usage.PromptTokensDetails.CachedTokens if usage.InputTokens < 0 { usage.InputTokens = chunk.Usage.PromptTokens } usage.OutputTokens = chunk.Usage.CompletionTokens usage.CacheReadTokens = chunk.Usage.PromptTokensDetails.CachedTokens } for _, ch := range chunk.Choices { if ch.Delta.Content != "" { appendText(ch.Delta.Content) out <- EventTextDelta{Delta: ch.Delta.Content} } for _, tc := range ch.Delta.ToolCalls { t := getOrCreateTool(tc.Index) if tc.ID != "" { t.toolID = tc.ID } if tc.Function.Name != "" { t.toolName = tc.Function.Name } if !t.announced && t.toolID != "" && t.toolName != "" { t.announced = true out <- EventToolStart{ID: t.toolID, Name: t.toolName} } if tc.Function.Arguments != "" { t.toolArgs.WriteString(tc.Function.Arguments) if t.announced { out <- EventToolArgs{ID: t.toolID, Delta: tc.Function.Arguments} } } } switch ch.FinishReason { case "stop": stop = StopEnd case "length": stop = StopLength case "tool_calls", "function_call": stop = StopToolUse for _, b := range blocks { if b.kind == "tool_use" && b.announced { out <- EventToolEnd{ID: b.toolID} } } } } } } }