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2026-08-14 23:41:57 +08:00
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package agent
import (
"bufio"
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"log"
"net/http"
"strings"
"time"
)
type LLMClient struct {
cfg Config
apiConfig *APIConfigStore
client *http.Client
}
type StreamChunk struct {
Content string
ToolCalls []ToolCallDelta
FinishReason string
Usage *Usage
Error error
}
type ToolCallDelta struct {
Index int
ID string
Name string
ArgumentsDelta string
}
func NewLLMClient(cfg Config, apiCfg *APIConfigStore) *LLMClient {
return &LLMClient{
cfg: cfg,
apiConfig: apiCfg,
client: &http.Client{
Timeout: cfg.RequestTimeout + 30*time.Second,
},
}
}
// isAnthropic 报告当前是否使用 Anthropic Messages API。
func (c *LLMClient) isAnthropic() bool {
return c.apiConfig.Provider() == ProviderAnthropic
}
func (c *LLMClient) ChatStream(ctx context.Context, messages []Message, tools []ToolDefinition) (<-chan StreamChunk, error) {
if c.isAnthropic() {
body := map[string]any{
"model": c.apiConfig.Model(),
"max_tokens": c.cfg.StreamOutputTokens,
"stream": true,
"temperature": c.cfg.Temperature,
"messages": toAnthropicMessages(messages),
}
if system := extractSystemPrompt(messages); system != "" {
body["system"] = system
}
if len(tools) > 0 {
body["tools"] = toAnthropicTools(tools)
}
return c.stream(ctx, body)
}
body := map[string]any{
"model": c.apiConfig.Model(),
"messages": toAPIMessages(messages),
"stream": true,
"temperature": c.cfg.Temperature,
"max_tokens": c.cfg.StreamOutputTokens,
}
if len(tools) > 0 {
body["tools"] = tools
body["tool_choice"] = "auto"
}
return c.stream(ctx, body)
}
func (c *LLMClient) Compress(ctx context.Context, history []Message) (string, error) {
systemPrompt := `你是一个高信息密度的对话压缩器。把下面的历史对话压缩成一份中文摘要,供后续继续执行同一任务。
必须保留(按重要程度排序):
1. 用户的核心目标与最新要求、尚未完成的任务与下一步计划;
2. 已确认的决策与结论、得分/进度(如 TSec 累计分数与已通关/进行中的题目编号);
3. 关键文件路径、执行过的命令与重要输出要点、代码要点;
4. 错误信息与解决方案、需要继续跟进的问题;
5. 平台提交规则(如 BENCHMARK_TOKEN、unique_code、提交接口与提交方式)。
规则:
- 按时间顺序组织,最新信息优先,可适当合并同类项;
- 若历史包含工具调用(run_bash/read_file/run_coop 等),只保留"做了什么、结果如何"的要点,不要逐字复制命令或输出;
- 不要添加历史中不存在的信息,不要臆测;
- 直接输出摘要正文,不要输出任何解释、标题或多余格式。`
messages := append([]Message{{Role: "system", Content: &systemPrompt}}, history...)
if c.isAnthropic() {
return c.compressAnthropic(ctx, messages)
}
body := map[string]any{
"model": c.apiConfig.Model(),
"messages": toAPIMessages(messages),
"stream": false,
"temperature": 0.2,
"max_tokens": c.cfg.CompactionTokens,
}
ctx, cancel := context.WithTimeout(ctx, c.cfg.RequestTimeout)
defer cancel()
payload, err := json.Marshal(body)
if err != nil {
return "", err
}
respBody, err := c.doSyncRequestWithRetry(ctx, false, c.apiConfig.BaseURL(), payload)
if err != nil {
return "", err
}
var result struct {
Choices []struct {
Message struct {
Content *string `json:"content"`
ReasoningContent *string `json:"reasoning_content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.Unmarshal(respBody, &result); err != nil {
return "", err
}
if len(result.Choices) == 0 {
return "", errors.New("模型没有返回压缩摘要")
}
msg := result.Choices[0].Message
if msg.Content != nil && strings.TrimSpace(*msg.Content) != "" {
return strings.TrimSpace(*msg.Content), nil
}
// 推理模型(deepseek-reasoner 系)正文在 reasoning_contentcontent 可能为空
if msg.ReasoningContent != nil && strings.TrimSpace(*msg.ReasoningContent) != "" {
return strings.TrimSpace(*msg.ReasoningContent), nil
}
return "", errors.New("模型没有返回压缩摘要")
}
// stream 发起流式 LLM 请求,对连接失败、限流(429/5xx/551)、首 chunk 前流断开
// 做指数退避重试(3 次:1s→2s→4s)。保留 (<-chan, error) 签名,上层无需改动。
func (c *LLMClient) stream(ctx context.Context, body map[string]any) (<-chan StreamChunk, error) {
anthropic := c.isAnthropic()
url := c.apiConfig.BaseURL()
if anthropic {
url = normalizeAnthropicURL(url)
}
payload, err := json.Marshal(body)
if err != nil {
return nil, err
}
const maxRetries = 3
var lastErr error
for attempt := 0; attempt <= maxRetries; attempt++ {
if attempt > 0 {
backoff := time.Duration(1<<(attempt-1)) * time.Second
select {
case <-ctx.Done():
return nil, ctx.Err()
case <-time.After(backoff):
}
}
ch, reqErr := c.doStreamRequest(ctx, anthropic, url, payload)
if reqErr != nil {
lastErr = reqErr
if attempt < maxRetries && isRetriableErr(reqErr) {
log.Printf("[llm] 流式请求失败(第 %d 次),将重试: %v", attempt+1, reqErr)
continue
}
return nil, reqErr
}
// 请求成功建立,但流可能在首个 chunk 前就断开(EOF)。
// peek 第一个 chunk:如果是可重试错误,排空旧 channel 后重试。
first, ok := <-ch
if !ok {
lastErr = errors.New("stream: 空响应")
if attempt < maxRetries {
log.Printf("[llm] 流式响应为空(第 %d 次),重试", attempt+1)
continue
}
return nil, lastErr
}
if first.Error != nil && attempt < maxRetries && isRetriableErr(first.Error) {
for range ch {
}
lastErr = first.Error
log.Printf("[llm] 流式响应首 chunk 前断开(第 %d 次),重试: %v", attempt+1, first.Error)
continue
}
// 正常:转发 first + 后续 chunk
out := make(chan StreamChunk, 64)
go func() {
defer close(out)
out <- first
for chunk := range ch {
out <- chunk
}
}()
return out, nil
}
return nil, lastErr
}
// doStreamRequest 发起单次流式 LLM 请求(不含重试)。
func (c *LLMClient) doStreamRequest(ctx context.Context, anthropic bool, url string, payload []byte) (<-chan StreamChunk, error) {
ctx, cancel := context.WithTimeout(ctx, c.cfg.RequestTimeout)
req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(payload))
if err != nil {
cancel()
return nil, err
}
c.setRequestHeaders(req, anthropic)
resp, err := c.client.Do(req)
if err != nil {
cancel()
return nil, err
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
apiErr := c.readAPIError(resp)
resp.Body.Close()
cancel()
return nil, apiErr
}
ch := make(chan StreamChunk, 64)
go func() {
defer cancel()
defer close(ch)
defer resp.Body.Close()
if anthropic {
readAnthropicSSE(ctx, resp, ch)
} else {
c.readSSE(ctx, resp, ch)
}
}()
return ch, nil
}
// doSyncRequestWithRetry 发起同步(非流式)LLM 请求,对连接失败、限流(429/5xx/551)
// 做指数退避重试(3 次:1s→2s→4s)。返回响应体字节,由调用方解析。
func (c *LLMClient) doSyncRequestWithRetry(ctx context.Context, anthropic bool, url string, payload []byte) ([]byte, error) {
const maxRetries = 3
var lastErr error
for attempt := 0; attempt <= maxRetries; attempt++ {
if attempt > 0 {
backoff := time.Duration(1<<(attempt-1)) * time.Second
select {
case <-ctx.Done():
return nil, ctx.Err()
case <-time.After(backoff):
}
}
body, err := c.doSyncRequest(ctx, anthropic, url, payload)
if err == nil {
return body, nil
}
lastErr = err
if attempt < maxRetries && isRetriableErr(err) {
log.Printf("[llm] 同步请求失败(第 %d 次),将重试: %v", attempt+1, err)
continue
}
return nil, err
}
return nil, lastErr
}
// doSyncRequest 发起单次同步(非流式)LLM 请求(不含重试)。
func (c *LLMClient) doSyncRequest(ctx context.Context, anthropic bool, url string, payload []byte) ([]byte, error) {
ctx, cancel := context.WithTimeout(ctx, c.cfg.RequestTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(payload))
if err != nil {
return nil, err
}
c.setRequestHeaders(req, anthropic)
resp, err := c.client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return nil, c.readAPIError(resp)
}
return io.ReadAll(resp.Body)
}
// isRetriableErr 判断错误是否值得重试(网络错误、限流、服务端错误)。
func isRetriableErr(err error) bool {
if err == nil {
return false
}
if errors.Is(err, io.EOF) || errors.Is(err, io.ErrUnexpectedEOF) {
return true
}
msg := err.Error()
if strings.Contains(msg, "EOF") ||
strings.Contains(msg, "connection reset") ||
strings.Contains(msg, "broken pipe") ||
strings.Contains(msg, "timeout") ||
strings.Contains(msg, "deadline exceeded") ||
strings.Contains(msg, "connection refused") ||
strings.Contains(msg, "no such host") {
return true
}
// HTTP 状态码错误:5xx 服务端错误、429 限流、551 网关熔断
if strings.HasPrefix(msg, "HTTP 5") ||
strings.HasPrefix(msg, "HTTP 429") ||
strings.HasPrefix(msg, "HTTP 551") {
return true
}
return false
}
func (c *LLMClient) readSSE(ctx context.Context, resp *http.Response, ch chan<- StreamChunk) {
scanner := bufio.NewScanner(resp.Body)
scanner.Buffer(make([]byte, 64*1024), 1024*1024)
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data:") {
continue
}
data := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
if data == "[DONE]" {
break
}
var chunk struct {
Choices []struct {
Delta struct {
Content *string `json:"content"`
ToolCalls []struct {
Index *int `json:"index"`
ID string `json:"id"`
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 *Usage `json:"usage"`
}
if err := json.Unmarshal([]byte(data), &chunk); err != nil {
continue
}
event := StreamChunk{}
for _, choice := range chunk.Choices {
if choice.Delta.Content != nil {
event.Content += *choice.Delta.Content
}
for _, tc := range choice.Delta.ToolCalls {
index := 0
if tc.Index != nil {
index = *tc.Index
}
event.ToolCalls = append(event.ToolCalls, ToolCallDelta{
Index: index,
ID: tc.ID,
Name: tc.Function.Name,
ArgumentsDelta: tc.Function.Arguments,
})
}
if choice.FinishReason != nil {
event.FinishReason = *choice.FinishReason
}
}
if chunk.Usage != nil {
event.Usage = chunk.Usage
}
if event.Content != "" || len(event.ToolCalls) > 0 || event.FinishReason != "" || event.Usage != nil {
ch <- event
}
}
if err := scanner.Err(); err != nil && ctx.Err() == nil {
ch <- StreamChunk{Error: err}
}
}
func (c *LLMClient) setRequestHeaders(req *http.Request, anthropic bool) {
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Accept", "text/event-stream")
if anthropic {
req.Header.Set("x-api-key", c.apiConfig.APIKey())
req.Header.Set("anthropic-version", "2023-06-01")
} else {
req.Header.Set("Authorization", "Bearer "+c.apiConfig.APIKey())
}
}
func (c *LLMClient) readAPIError(resp *http.Response) error {
body, _ := io.ReadAll(io.LimitReader(resp.Body, 8*1024))
var apiErr struct {
Error struct {
Message string `json:"message"`
} `json:"error"`
}
_ = json.Unmarshal(body, &apiErr)
message := strings.TrimSpace(apiErr.Error.Message)
if message == "" {
message = strings.TrimSpace(string(body))
}
if message == "" {
message = fmt.Sprintf("HTTP %d", resp.StatusCode)
}
return errors.New(message)
}
func toAPIMessages(messages []Message) []map[string]any {
result := make([]map[string]any, 0, len(messages))
for _, message := range messages {
item := map[string]any{
"role": message.Role,
"content": contentValue(message.Content),
}
if len(message.ToolCalls) > 0 {
item["tool_calls"] = toAPIToolCalls(message.ToolCalls)
}
if message.ToolCallID != "" {
item["tool_call_id"] = message.ToolCallID
}
result = append(result, item)
}
return result
}
func toAPIToolCalls(calls []ToolCall) []map[string]any {
result := make([]map[string]any, 0, len(calls))
for _, call := range calls {
result = append(result, map[string]any{
"id": call.ID,
"type": "function",
"function": map[string]any{
"name": call.Function.Name,
"arguments": call.Function.Arguments,
},
})
}
return result
}
func contentValue(content *string) any {
if content == nil {
return nil
}
return *content
}