Files
Cyrene_v2/internal/runtime/model/anthropic.go
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AskaEth 0de68bc960
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fix(model): DeepSeek 推理参数语义反转 + thinking 开关真发(按官方文档核对结果)
依据 DevDocs/design/04 §3.2「官方核对后的修正」9 条 + 本地 DevDocs/reference/deepseek/facts-for-cyrene.md(官方原句/URL)。
- 🔴 reasoning_effort 白名单改为官方集合 [none, low, high, max] + 别名映射(minimal→low, medium→high, xhigh→high, ultra→max);**删除就近降级**,非法值一律丢弃+WARN。此前 none(关思考) 被降级成 low(开思考) 属语义反转
- 🔴 DeepSeek thinking 开关真发顶层 {"thinking":{"type":"enabled|disabled"}}(官方默认 enabled,不传≠关);此前只打 WARN 导致 mode:off 静默无效
- DeepSeek 的 /anthropic 端点忽略 budget_tokens → 不再对其抬 max_tokens(会误导预算/日志),改为按官方用 output_config.effort
- 注释纠正:penalty 属接口级 deprecated(非仅思考模式);top_p 仅思考模式生效且下限 0.95(不加该字段)
- tool_choice 雷登记:思考模式下 required/指定 tool 会 400(思考默认开)
- 旧模型名清理(deepseek-chat/reasoner 已于 2026-07-24 停用)
- 请求体级测试 + 变异验证(把 none 改回 low / 把 thinking 改回只 WARN → 对应断言 FAIL)
2026-10-03 20:22:31 +08:00

427 lines
15 KiB
Go

package model
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"log/slog"
"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:"
// anthropicThinkingTypeEnabled is the wire value of an enabled extended-
// thinking directive.
anthropicThinkingTypeEnabled = "enabled"
)
// anthropicThinking is the wire form of the extended-thinking directive. It is
// omitted entirely when the caller did not ask for thinking (or asked for it to
// be off), because Anthropic treats a missing field as "no thinking". DeepSeek's
// /anthropic endpoint instead defaults to enabled, so an explicit off is sent as
// {"type":"disabled"} with no budget (design/04 §3.2 fact 2).
type anthropicThinking struct {
Type string `json:"type"`
BudgetTokens int `json:"budget_tokens,omitempty"`
}
// anthropicOutputConfig is the Anthropic-format reasoning strength block. Only
// DeepSeek's /anthropic endpoint documents it (and only the effort field), so it
// is never sent to the Anthropic endpoint (design/04 §3.2 fact 6).
type anthropicOutputConfig struct {
Effort string `json:"effort"`
}
// 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"`
Thinking *anthropicThinking `json:"thinking,omitempty"`
OutputConfig *anthropicOutputConfig `json:"output_config,omitempty"`
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
// log reports reasoning adjustments and ignored directives. It is never nil:
// a discard logger tagged with this adapter's source is installed when the
// caller supplies none, so a provider decision is always traceable.
log *slog.Logger
}
// 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 }
}
// WithAnthropicLogger attaches the logger used to report reasoning adjustments
// (budget raised to fit max_tokens, ignored directives). A nil logger is ignored
// so the discard default stays in place.
func WithAnthropicLogger(l *slog.Logger) AnthropicOption {
return func(a *AnthropicChatAdapter) {
if l != nil {
a.log = l
}
}
}
// 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,
},
log: discardLogger("runtime/model/anthropic"),
}
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)
var thinking *anthropicThinking
var output *anthropicOutputConfig
if deepSeekAnthropicEndpoint(req.Model, a.baseURL) {
// A DeepSeek /anthropic endpoint ignores budget_tokens, so max_tokens is
// deliberately not raised here: raising it would misreport the budget the
// provider actually applies. Strength goes through output_config.effort
// instead (design/04 §3.2 fact 6).
thinking, output = anthropicDeepSeekReasoning(a.log, req.Model, req.Thinking, req.ReasoningEffort)
reportForcedToolChoiceWithThinking(a.log, req.Model, req.ToolChoice, anthropicThinkingOn(thinking))
} else {
// Extended thinking shares max_tokens with the visible answer, so on the
// Anthropic endpoint the budget is resolved together with the limit it
// requires (design/04 §3.2 red line).
tokenLimit, thinking = anthropicThinkingFor(req.Thinking, tokenLimit, a.log)
a.reportAnthropicEffortIgnored(req)
}
wire := anthropicRequest{
Model: req.Model,
System: system,
Messages: msgs,
Tools: buildAnthropicTools(req.Tools),
ToolChoice: req.ToolChoice,
Temperature: req.Temperature,
MaxTokens: tokenLimit,
Thinking: thinking,
OutputConfig: output,
Stream: stream,
}
buf, err := json.Marshal(wire)
if err != nil {
return nil, fmt.Errorf("model: %w: marshal request: %v", ErrBadRequest, err)
}
return buf, nil
}
// reportAnthropicEffortIgnored reports a reasoning_effort on an endpoint that has
// no field for it: the Anthropic Messages protocol carries thinking strength as
// budget_tokens. It only reports — inventing a budget would change the caller's
// intent.
func (a *AnthropicChatAdapter) reportAnthropicEffortIgnored(req Request) {
if strings.TrimSpace(req.ReasoningEffort) == "" {
return
}
a.log.Warn("reasoning_effort ignored: the Anthropic Messages protocol takes thinking.budget_tokens, not an effort tier",
"provider", "anthropic", "field", "reasoning_effort", "value", req.ReasoningEffort, "model", req.Model)
}
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,
}
}