- model.go: Response.StopReason; anthropic wire加stop_reason; openai finish_reason映射(两协议统一,原值透传)
- truncation.go(新,159行): effectiveMaxTokens/retryMaxTokens(×2封顶32768)/isTruncatedEmpty(空正文+无tool_use+stop_reason∈{max_tokens,length})/withEmptyBodyHint/callWithTruncationRetry/callStreamWithTruncationRetry/dropThinking/emitTextSegment
- anthropic.go Chat/ChatStream 走重试+兜底; anthropic_encode.go(新)拆编码(anthropic.go 529→357合规); anthropic_stream message_delta落StopReason
- agent/loop: 把模型层StopReason带到llm.call span的model_stop_reason属性(修掉trace硬编码stop的误导); loop.Result.StopReason语义未动
- 触发仅当截断空正文; tool_use空正文永不触发(native_toolcall_test仍过); 至多1次重试; 兜底回'(思考过长,未能生成回复)'绝不用thinking
- 新增7测试(非流式/流式重试+兜底+tool_use不触发+封顶+openai映射), build/vet/test绿+3平台交叉编译
358 lines
12 KiB
Go
358 lines
12 KiB
Go
package model
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import (
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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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"strings"
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"time"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
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)
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// Anthropic Messages (/v1/messages) wire protocol constants.
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const (
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// anthropicAPIVersion is the Messages API version sent on every request.
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anthropicAPIVersion = "2023-06-01"
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// anthropicDefaultMaxTokens is the default max_tokens sent when
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// Request.MaxTokens is zero. Anthropic requires max_tokens to be present and
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// positive, so a sensible default is applied rather than omitting it.
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// max_tokens is shared by thinking + text, so it must leave room for both.
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anthropicDefaultMaxTokens = 8192
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// anthropicDataPrefix marks a payload embedded as a data: URI.
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anthropicDataPrefix = "data:"
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)
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// anthropicRequest is the body sent to /v1/messages. Messages carry Anthropic's
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// content-block model and the system prompt lives at the request root.
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type anthropicRequest struct {
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Model string `json:"model"`
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System string `json:"system,omitempty"`
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Messages []anthropicMessage `json:"messages"`
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Tools []anthropicTool `json:"tools,omitempty"`
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ToolChoice any `json:"tool_choice,omitempty"`
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Temperature *float64 `json:"temperature,omitempty"`
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MaxTokens int `json:"max_tokens"`
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Stream bool `json:"stream,omitempty"`
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}
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// anthropicMessage is one conversation turn. Content is an array of content
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// blocks (text / image for now; tool_result blocks are added by M2).
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type anthropicMessage struct {
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Role string `json:"role"`
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Content any `json:"content"`
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}
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// anthropicTool is the wire form of a tool schema.
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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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// anthropicResponse is the JSON body returned by /v1/messages.
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type anthropicResponse struct {
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ID string `json:"id"`
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Model string `json:"model"`
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Content []anthropicBlock `json:"content"`
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StopReason string `json:"stop_reason,omitempty"`
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Usage *anthropicUsage `json:"usage,omitempty"`
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}
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// anthropicBlock is a single content block in a response. For tool_use blocks the
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// Input field is a fully decoded object (never a JSON string).
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type anthropicBlock struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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ID string `json:"id,omitempty"`
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Name string `json:"name,omitempty"`
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Input map[string]any `json:"input,omitempty"`
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}
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// anthropicUsage reports token consumption. Anthropic reports input_tokens and
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// output_tokens rather than a single total.
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type anthropicUsage struct {
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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}
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// AnthropicChatAdapter calls an Anthropic Messages (/v1/messages) endpoint. It is
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// constructed from a config.LLMConfig and implements Adapter for both
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// non-streaming and token-level SSE streaming, speaking the provider's native
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// content-block protocol so tool_use.input arrives as a structured object.
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type AnthropicChatAdapter struct {
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name string
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baseURL string
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apiKey string
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model string
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client *http.Client
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recorder Recorder
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}
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// AnthropicOption configures an AnthropicChatAdapter.
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type AnthropicOption func(*AnthropicChatAdapter)
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// WithAnthropicHTTPClient overrides the default HTTP client (used to inject mocks
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// or a tuned transport in tests and production).
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func WithAnthropicHTTPClient(c *http.Client) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.client = c }
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}
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// WithAnthropicRecorder wires a per-call Recorder for CallRecord accounting.
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func WithAnthropicRecorder(r Recorder) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.recorder = r }
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}
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// WithAnthropicModel overrides the adapter's default model name.
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func WithAnthropicModel(m string) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.model = m }
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}
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// NewAnthropicChat builds an Anthropic adapter from a supplier config. baseURL is
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// trimmed of any trailing slash before the /v1/messages path is appended.
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func NewAnthropicChat(cfg config.LLMConfig, opts ...AnthropicOption) *AnthropicChatAdapter {
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a := &AnthropicChatAdapter{
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name: "anthropic",
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baseURL: strings.TrimRight(cfg.AnthropicBaseURL, "/"),
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apiKey: cfg.AnthropicAPIKey,
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model: cfg.AnthropicModel,
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client: &http.Client{
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Transport: http.DefaultTransport,
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Timeout: defaultHTTPTimeout,
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},
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}
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for _, o := range opts {
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o(a)
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}
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return a
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}
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// Name returns the adapter identifier.
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func (a *AnthropicChatAdapter) Name() string { return a.name }
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// Chat performs a non-streaming completion. A response cut off by the token
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// budget with no visible output (stop_reason max_tokens and neither text nor a
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// tool_use block) is retried once with a doubled budget and, if that still
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// yields nothing, replaced by a non-empty placeholder so the caller never sees a
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// silent empty reply.
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func (a *AnthropicChatAdapter) Chat(ctx context.Context, req Request, opts Options) (Response, error) {
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start := time.Now()
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if a.baseURL == "" {
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return Response{}, ErrUpstream
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}
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ctx, cancel := withCallTimeout(ctx, opts)
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defer cancel()
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model, err := a.resolveModel(req)
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if err != nil {
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return Response{}, err
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}
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req.Model = model
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out, err := callWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
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func(limit int) (Response, error) {
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attempt := req
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attempt.MaxTokens = limit
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return a.chatOnce(ctx, attempt)
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})
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if err != nil {
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return Response{}, err
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}
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a.record(req, start, out.TotalTokens)
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return out, nil
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}
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// chatOnce performs a single non-streaming /v1/messages call and normalizes the
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// wire body into a Response.
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func (a *AnthropicChatAdapter) chatOnce(ctx context.Context, req Request) (Response, error) {
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body, err := a.buildRequest(req, false)
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if err != nil {
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return Response{}, err
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
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if err != nil {
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return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
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}
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resp, err := a.doRequest(httpReq, false)
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if err != nil {
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return Response{}, err
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return Response{}, a.upstreamError(resp)
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}
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var wire anthropicResponse
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if err := json.NewDecoder(resp.Body).Decode(&wire); err != nil {
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return Response{}, fmt.Errorf("model: %w: decode response: %v", ErrUpstream, err)
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}
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return responseFromAnthropicWire(&wire), nil
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}
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// ChatStream streams structured events via onEvent and returns the aggregated
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// response with usage when the provider reports it. Text blocks are delivered as
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// text_start/text_delta/text_end events; tool_use blocks are delivered as
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// tool_call_start/tool_call_delta/tool_call_end so the frontend can render each
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// segment independently. A budget-truncated empty stream is retried once with a
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// doubled budget (thinking from the retry is suppressed to avoid a duplicate
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// block) and, if still empty, closed with a non-empty placeholder text segment.
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func (a *AnthropicChatAdapter) ChatStream(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
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start := time.Now()
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if a.baseURL == "" {
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return Response{}, ErrUpstream
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}
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model, err := a.resolveModel(req)
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if err != nil {
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return Response{}, err
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}
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req.Model = model
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out, err := callStreamWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
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func(limit int, ev func(StreamEvent)) (Response, error) {
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attempt := req
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attempt.MaxTokens = limit
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return a.streamOnce(ctx, attempt, ev)
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}, onEvent)
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if err != nil {
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return Response{}, err
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}
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out.Model = model
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a.record(req, start, out.TotalTokens)
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return out, nil
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}
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// streamOnce performs a single streaming /v1/messages call and aggregates its
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// SSE events into a Response.
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func (a *AnthropicChatAdapter) streamOnce(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
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body, err := a.buildRequest(req, true)
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if err != nil {
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return Response{}, err
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
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if err != nil {
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return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
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}
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resp, err := a.doRequest(httpReq, true)
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if err != nil {
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return Response{}, err
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return Response{}, a.upstreamError(resp)
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}
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return scanAnthropicSSE(resp.Body, onEvent)
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}
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// resolveModel returns the effective model name.
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func (a *AnthropicChatAdapter) resolveModel(req Request) (string, error) {
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if req.Model != "" {
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return req.Model, nil
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}
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if a.model != "" {
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return a.model, nil
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}
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return "", ErrNoModel
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}
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// endpoint returns the full /v1/messages URL.
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func (a *AnthropicChatAdapter) endpoint() string {
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return a.baseURL + "/v1/messages"
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}
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func (a *AnthropicChatAdapter) buildRequest(req Request, stream bool) ([]byte, error) {
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system, msgs, err := buildAnthropicMessages(req.Messages)
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if err != nil {
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return nil, err
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}
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tokenLimit := effectiveMaxTokens(req.MaxTokens, anthropicDefaultMaxTokens)
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wire := anthropicRequest{
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Model: req.Model,
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System: system,
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Messages: msgs,
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Tools: buildAnthropicTools(req.Tools),
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ToolChoice: req.ToolChoice,
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Temperature: req.Temperature,
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MaxTokens: tokenLimit,
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Stream: stream,
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}
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buf, err := json.Marshal(wire)
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if err != nil {
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return nil, fmt.Errorf("model: %w: marshal request: %v", ErrBadRequest, err)
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}
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return buf, nil
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}
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func (a *AnthropicChatAdapter) doRequest(httpReq *http.Request, stream bool) (*http.Response, error) {
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if a.apiKey != "" {
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httpReq.Header.Set("x-api-key", a.apiKey)
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}
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httpReq.Header.Set("anthropic-version", anthropicAPIVersion)
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httpReq.Header.Set("Content-Type", "application/json")
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if stream {
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httpReq.Header.Set("Accept", "text/event-stream")
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} else {
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httpReq.Header.Set("Accept", "application/json")
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}
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resp, err := a.client.Do(httpReq)
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if err != nil {
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return nil, fmt.Errorf("model: %w: %v", ErrUpstream, err)
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}
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return resp, nil
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}
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func (a *AnthropicChatAdapter) upstreamError(resp *http.Response) error {
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snippet, _ := io.ReadAll(io.LimitReader(resp.Body, errBodyCap))
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return fmt.Errorf("model: %w: status %d: %s", ErrUpstream, resp.StatusCode, strings.TrimSpace(string(snippet)))
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}
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func (a *AnthropicChatAdapter) record(req Request, start time.Time, tokens int) {
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if a.recorder == nil {
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return
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}
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a.recorder(CallRecord{
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Model: req.Model,
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Purpose: req.Purpose,
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Tokens: tokens,
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TookMs: time.Since(start).Milliseconds(),
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})
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}
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// responseFromAnthropicWire converts a non-streaming /v1/messages response into a
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// normalized Response. Each text block contributes to the assistant content; each
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// tool_use block becomes a ToolCall whose Args is taken directly from the decoded
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// input object.
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func responseFromAnthropicWire(wire *anthropicResponse) Response {
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out := Response{Model: wire.Model}
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var b strings.Builder
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var toolCalls []ToolCall
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for _, blk := range wire.Content {
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switch blk.Type {
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case "text":
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b.WriteString(blk.Text)
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case "tool_use":
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toolCalls = append(toolCalls, ToolCall{Name: blk.Name, ID: blk.ID, Args: blk.Input})
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}
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}
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out.Content = b.String()
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out.Message = Message{Role: RoleAssistant, Content: []Content{{Type: ContentTypeText, Text: out.Content}}}
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out.ToolCalls = toolCalls
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out.StopReason = wire.StopReason
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if u := wire.Usage; u != nil {
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out.PromptTokens = u.InputTokens
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out.CompletionTokens = u.OutputTokens
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out.TotalTokens = u.InputTokens + u.OutputTokens
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}
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return out
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}
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// AnthropicToolResult builds the content block used to feed a tool result back to
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// Anthropic (role: user, first content element). toolUseID must equal the id of a
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// previous tool_use block; isError marks an execution failure.
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func AnthropicToolResult(toolUseID, content string, isError bool) map[string]any {
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return map[string]any{
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"type": "tool_result",
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"tool_use_id": toolUseID,
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"content": content,
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"is_error": isError,
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}
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}
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