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Cyrene_v2/internal/runtime/model/anthropic.go
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AskaEth c7b2cd8ae0
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fix(model): 解析 stop_reason + max_tokens 截断重试/非空兜底 — 不再静默空回复
- 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
2026-09-08 23:52:47 +08:00

358 lines
12 KiB
Go

package model
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
)
// Anthropic Messages (/v1/messages) wire protocol constants.
const (
// anthropicAPIVersion is the Messages API version sent on every request.
anthropicAPIVersion = "2023-06-01"
// anthropicDefaultMaxTokens is the default max_tokens sent when
// Request.MaxTokens is zero. Anthropic requires max_tokens to be present and
// positive, so a sensible default is applied rather than omitting it.
// max_tokens is shared by thinking + text, so it must leave room for both.
anthropicDefaultMaxTokens = 8192
// anthropicDataPrefix marks a payload embedded as a data: URI.
anthropicDataPrefix = "data:"
)
// anthropicRequest is the body sent to /v1/messages. Messages carry Anthropic's
// content-block model and the system prompt lives at the request root.
type anthropicRequest struct {
Model string `json:"model"`
System string `json:"system,omitempty"`
Messages []anthropicMessage `json:"messages"`
Tools []anthropicTool `json:"tools,omitempty"`
ToolChoice any `json:"tool_choice,omitempty"`
Temperature *float64 `json:"temperature,omitempty"`
MaxTokens int `json:"max_tokens"`
Stream bool `json:"stream,omitempty"`
}
// anthropicMessage is one conversation turn. Content is an array of content
// blocks (text / image for now; tool_result blocks are added by M2).
type anthropicMessage struct {
Role string `json:"role"`
Content any `json:"content"`
}
// anthropicTool is the wire form of a tool schema.
type anthropicTool struct {
Name string `json:"name"`
Description string `json:"description,omitempty"`
InputSchema any `json:"input_schema"`
}
// anthropicResponse is the JSON body returned by /v1/messages.
type anthropicResponse struct {
ID string `json:"id"`
Model string `json:"model"`
Content []anthropicBlock `json:"content"`
StopReason string `json:"stop_reason,omitempty"`
Usage *anthropicUsage `json:"usage,omitempty"`
}
// anthropicBlock is a single content block in a response. For tool_use blocks the
// Input field is a fully decoded object (never a JSON string).
type anthropicBlock struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ID string `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Input map[string]any `json:"input,omitempty"`
}
// anthropicUsage reports token consumption. Anthropic reports input_tokens and
// output_tokens rather than a single total.
type anthropicUsage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
}
// AnthropicChatAdapter calls an Anthropic Messages (/v1/messages) endpoint. It is
// constructed from a config.LLMConfig and implements Adapter for both
// non-streaming and token-level SSE streaming, speaking the provider's native
// content-block protocol so tool_use.input arrives as a structured object.
type AnthropicChatAdapter struct {
name string
baseURL string
apiKey string
model string
client *http.Client
recorder Recorder
}
// AnthropicOption configures an AnthropicChatAdapter.
type AnthropicOption func(*AnthropicChatAdapter)
// WithAnthropicHTTPClient overrides the default HTTP client (used to inject mocks
// or a tuned transport in tests and production).
func WithAnthropicHTTPClient(c *http.Client) AnthropicOption {
return func(a *AnthropicChatAdapter) { a.client = c }
}
// WithAnthropicRecorder wires a per-call Recorder for CallRecord accounting.
func WithAnthropicRecorder(r Recorder) AnthropicOption {
return func(a *AnthropicChatAdapter) { a.recorder = r }
}
// WithAnthropicModel overrides the adapter's default model name.
func WithAnthropicModel(m string) AnthropicOption {
return func(a *AnthropicChatAdapter) { a.model = m }
}
// NewAnthropicChat builds an Anthropic adapter from a supplier config. baseURL is
// trimmed of any trailing slash before the /v1/messages path is appended.
func NewAnthropicChat(cfg config.LLMConfig, opts ...AnthropicOption) *AnthropicChatAdapter {
a := &AnthropicChatAdapter{
name: "anthropic",
baseURL: strings.TrimRight(cfg.AnthropicBaseURL, "/"),
apiKey: cfg.AnthropicAPIKey,
model: cfg.AnthropicModel,
client: &http.Client{
Transport: http.DefaultTransport,
Timeout: defaultHTTPTimeout,
},
}
for _, o := range opts {
o(a)
}
return a
}
// Name returns the adapter identifier.
func (a *AnthropicChatAdapter) Name() string { return a.name }
// Chat performs a non-streaming completion. A response cut off by the token
// budget with no visible output (stop_reason max_tokens and neither text nor a
// tool_use block) is retried once with a doubled budget and, if that still
// yields nothing, replaced by a non-empty placeholder so the caller never sees a
// silent empty reply.
func (a *AnthropicChatAdapter) Chat(ctx context.Context, req Request, opts Options) (Response, error) {
start := time.Now()
if a.baseURL == "" {
return Response{}, ErrUpstream
}
ctx, cancel := withCallTimeout(ctx, opts)
defer cancel()
model, err := a.resolveModel(req)
if err != nil {
return Response{}, err
}
req.Model = model
out, err := callWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
func(limit int) (Response, error) {
attempt := req
attempt.MaxTokens = limit
return a.chatOnce(ctx, attempt)
})
if err != nil {
return Response{}, err
}
a.record(req, start, out.TotalTokens)
return out, nil
}
// chatOnce performs a single non-streaming /v1/messages call and normalizes the
// wire body into a Response.
func (a *AnthropicChatAdapter) chatOnce(ctx context.Context, req Request) (Response, error) {
body, err := a.buildRequest(req, false)
if err != nil {
return Response{}, err
}
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
if err != nil {
return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
}
resp, err := a.doRequest(httpReq, false)
if err != nil {
return Response{}, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return Response{}, a.upstreamError(resp)
}
var wire anthropicResponse
if err := json.NewDecoder(resp.Body).Decode(&wire); err != nil {
return Response{}, fmt.Errorf("model: %w: decode response: %v", ErrUpstream, err)
}
return responseFromAnthropicWire(&wire), nil
}
// ChatStream streams structured events via onEvent and returns the aggregated
// response with usage when the provider reports it. Text blocks are delivered as
// text_start/text_delta/text_end events; tool_use blocks are delivered as
// tool_call_start/tool_call_delta/tool_call_end so the frontend can render each
// segment independently. A budget-truncated empty stream is retried once with a
// doubled budget (thinking from the retry is suppressed to avoid a duplicate
// block) and, if still empty, closed with a non-empty placeholder text segment.
func (a *AnthropicChatAdapter) ChatStream(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
start := time.Now()
if a.baseURL == "" {
return Response{}, ErrUpstream
}
model, err := a.resolveModel(req)
if err != nil {
return Response{}, err
}
req.Model = model
out, err := callStreamWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
func(limit int, ev func(StreamEvent)) (Response, error) {
attempt := req
attempt.MaxTokens = limit
return a.streamOnce(ctx, attempt, ev)
}, onEvent)
if err != nil {
return Response{}, err
}
out.Model = model
a.record(req, start, out.TotalTokens)
return out, nil
}
// streamOnce performs a single streaming /v1/messages call and aggregates its
// SSE events into a Response.
func (a *AnthropicChatAdapter) streamOnce(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
body, err := a.buildRequest(req, true)
if err != nil {
return Response{}, err
}
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
if err != nil {
return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
}
resp, err := a.doRequest(httpReq, true)
if err != nil {
return Response{}, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return Response{}, a.upstreamError(resp)
}
return scanAnthropicSSE(resp.Body, onEvent)
}
// resolveModel returns the effective model name.
func (a *AnthropicChatAdapter) resolveModel(req Request) (string, error) {
if req.Model != "" {
return req.Model, nil
}
if a.model != "" {
return a.model, nil
}
return "", ErrNoModel
}
// endpoint returns the full /v1/messages URL.
func (a *AnthropicChatAdapter) endpoint() string {
return a.baseURL + "/v1/messages"
}
func (a *AnthropicChatAdapter) buildRequest(req Request, stream bool) ([]byte, error) {
system, msgs, err := buildAnthropicMessages(req.Messages)
if err != nil {
return nil, err
}
tokenLimit := effectiveMaxTokens(req.MaxTokens, anthropicDefaultMaxTokens)
wire := anthropicRequest{
Model: req.Model,
System: system,
Messages: msgs,
Tools: buildAnthropicTools(req.Tools),
ToolChoice: req.ToolChoice,
Temperature: req.Temperature,
MaxTokens: tokenLimit,
Stream: stream,
}
buf, err := json.Marshal(wire)
if err != nil {
return nil, fmt.Errorf("model: %w: marshal request: %v", ErrBadRequest, err)
}
return buf, nil
}
func (a *AnthropicChatAdapter) doRequest(httpReq *http.Request, stream bool) (*http.Response, error) {
if a.apiKey != "" {
httpReq.Header.Set("x-api-key", a.apiKey)
}
httpReq.Header.Set("anthropic-version", anthropicAPIVersion)
httpReq.Header.Set("Content-Type", "application/json")
if stream {
httpReq.Header.Set("Accept", "text/event-stream")
} else {
httpReq.Header.Set("Accept", "application/json")
}
resp, err := a.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("model: %w: %v", ErrUpstream, err)
}
return resp, nil
}
func (a *AnthropicChatAdapter) upstreamError(resp *http.Response) error {
snippet, _ := io.ReadAll(io.LimitReader(resp.Body, errBodyCap))
return fmt.Errorf("model: %w: status %d: %s", ErrUpstream, resp.StatusCode, strings.TrimSpace(string(snippet)))
}
func (a *AnthropicChatAdapter) record(req Request, start time.Time, tokens int) {
if a.recorder == nil {
return
}
a.recorder(CallRecord{
Model: req.Model,
Purpose: req.Purpose,
Tokens: tokens,
TookMs: time.Since(start).Milliseconds(),
})
}
// responseFromAnthropicWire converts a non-streaming /v1/messages response into a
// normalized Response. Each text block contributes to the assistant content; each
// tool_use block becomes a ToolCall whose Args is taken directly from the decoded
// input object.
func responseFromAnthropicWire(wire *anthropicResponse) Response {
out := Response{Model: wire.Model}
var b strings.Builder
var toolCalls []ToolCall
for _, blk := range wire.Content {
switch blk.Type {
case "text":
b.WriteString(blk.Text)
case "tool_use":
toolCalls = append(toolCalls, ToolCall{Name: blk.Name, ID: blk.ID, Args: blk.Input})
}
}
out.Content = b.String()
out.Message = Message{Role: RoleAssistant, Content: []Content{{Type: ContentTypeText, Text: out.Content}}}
out.ToolCalls = toolCalls
out.StopReason = wire.StopReason
if u := wire.Usage; u != nil {
out.PromptTokens = u.InputTokens
out.CompletionTokens = u.OutputTokens
out.TotalTokens = u.InputTokens + u.OutputTokens
}
return out
}
// AnthropicToolResult builds the content block used to feed a tool result back to
// Anthropic (role: user, first content element). toolUseID must equal the id of a
// previous tool_use block; isError marks an execution failure.
func AnthropicToolResult(toolUseID, content string, isError bool) map[string]any {
return map[string]any{
"type": "tool_result",
"tool_use_id": toolUseID,
"content": content,
"is_error": isError,
}
}