Files
pj0235-eai_agentplatform/eai_agentplatform/backend-go/internal/ai/llm.go
T
eaiadminandClaude Code 8b136d4a10 feat: 专员岗位说明书与技能绑定打通(SY23 P0–P4)
工作台对话此前根本不读专员表:smart_assistant.go 里两条写死的 prompt,
专员表零参与,所以「选哪个专员说话都一样」。本次把
「专员 → 岗位说明书 → 技能」接进 system prompt。

P0 修 bug
  batch/extract 与 contract/review 直接把 nil 当路由传给 AI 层,
  取 primary.RouteID 时空指针,这两个接口必 500。
  llm.go 抽出 buildRouteChain,nil 主路由改为显式报错。

P1 数据层
  specialist 表加 rule_file_markdown(岗位说明书正文)与 allowed_skills
  (绑定技能,顺序即优先级)。写入侧用 model.ValidSkillKeys 校验,
  非法 key / 重复项直接 400,并规范化成紧凑 JSON 落库。
  播种 11 份岗位说明书初稿与技能绑定,沿用「存在则只补空字段」,
  管理员改过的内容不会被重启覆盖。

P2 打通链路
  请求体加 task_id 与 specialist_key。后端按任务反查专员(专员是任务的
  字段,任务优先),查不到安静退回通用助手而不是报错打断对话。
  ai_call_log 加 specialist_key,用来回答「这条回答是谁说的」。

P3 注入 prompt
  system prompt 改为 基础角色 + 【当前专员】+【可用技能】+【岗位说明书】,
  说明书放最后(离用户消息最近,优先级最高)。选了专员就不再自称
  「通用助手」——身份冲突正是老毛病的成因。

P4 前端
  对话带上当前任务与专员;专员详情页显示绑定的技能、读哪些信源、
  可以动什么。

验证
  go build / go vet / go test 全绿,45 项测试通过;前端构建通过。
  另在开发库副本上验过真实升级路径(AutoMigrate 补三列 + 播种补齐
  11 个专员),源库未被改动。
  新增防漂移测试:后端技能清单与前端 availableSkills 不一致即红灯;
  专员改名而说明书没同步也会红灯(这类静默失效最难查)。

注:llm.go / credits.go / seed.go / smart_assistant.go / api/specialist.go
同时含有并行进行中的改动(路由健康上报、清理调试埋点、技能与动作种子),
与本方案交织在同一批行内,无法单独拆出,一并随本次提交。

Co-Authored-By: Claude Code <noreply@anthropic.com>
2026-09-17 21:32:31 +08:00

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package ai
import (
"bufio"
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
"eai_agentplatform/backend/internal/config"
"eai_agentplatform/backend/internal/model"
"eai_agentplatform/backend/internal/store"
)
// ──────────────────────────────────────────────
// 基础类型
// ──────────────────────────────────────────────
// Message OpenAI 兼容消息
type Message struct {
Role string `json:"role"`
Content string `json:"content"`
}
// ChatResult 非流式调用结果
type ChatResult struct {
Content string
Model string
Provider string
FinishReason string
Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
}
// ──────────────────────────────────────────────
// OpenAI 兼容 HTTP 客户端
// ──────────────────────────────────────────────
// Client 低层 HTTP 客户端(基于 RouteConfig)
type Client struct {
baseURL string
apiKey string
model string
maxTokens int
temperature float64
hc *http.Client
}
// NewClient 从 RouteConfig 创建客户端
func NewClient(aiRoute *config.RouteConfig) *Client {
return &Client{
baseURL: strings.TrimRight(aiRoute.BaseURL, "/"),
apiKey: aiRoute.APIKey,
model: aiRoute.Model,
maxTokens: aiRoute.MaxTokens,
temperature: aiRoute.Temperature,
hc: &http.Client{Timeout: 120 * time.Second},
}
}
// NewClientLegacy 兼容旧接口(从 LLMConfig 创建)
func NewClientLegacy(cfg LLMConfig) *Client {
return &Client{
baseURL: strings.TrimRight(cfg.BaseURL, "/"),
apiKey: cfg.APIKey,
model: cfg.Model,
maxTokens: cfg.MaxTokens,
temperature: cfg.Temperature,
hc: &http.Client{Timeout: 120 * time.Second},
}
}
func (c *Client) url(path string) string {
return c.baseURL + path
}
func (c *Client) headers() map[string]string {
h := map[string]string{"Content-Type": "application/json"}
if c.apiKey != "" {
h["Authorization"] = "Bearer " + c.apiKey
}
return h
}
func (c *Client) post(path string, body any) (*http.Response, error) {
j, err := json.Marshal(body)
if err != nil {
return nil, err
}
req, err := http.NewRequest(http.MethodPost, c.url(path), bytes.NewReader(j))
if err != nil {
return nil, err
}
for k, v := range c.headers() {
req.Header.Set(k, v)
}
resp, err := c.hc.Do(req)
if err != nil {
return nil, err
}
return resp, nil
}
// ──────────────────────────────────────────────
// 非流式调用
// ──────────────────────────────────────────────
// Generate 非流式对话,返回完整正文
func (c *Client) Generate(messages []Message) (string, error) {
resp, err := c.post("/chat/completions", map[string]any{
"model": c.model,
"messages": messages,
"stream": false,
"temperature": c.temperature,
"max_tokens": c.maxTokens,
})
if err != nil {
return "", fmt.Errorf("LLM 服务不可达: %w", err)
}
defer resp.Body.Close()
data, err := io.ReadAll(resp.Body)
if err != nil {
return "", fmt.Errorf("读取 LLM 响应失败: %w", err)
}
if resp.StatusCode != http.StatusOK {
return "", fmt.Errorf("LLM 返回 %d: %s", resp.StatusCode, truncate(string(data), 200))
}
var out struct {
Choices []struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.Unmarshal(data, &out); err != nil {
return "", fmt.Errorf("LLM 响应解析失败: %w", err)
}
if len(out.Choices) == 0 || strings.TrimSpace(out.Choices[0].Message.Content) == "" {
return "", fmt.Errorf("LLM 返回空正文")
}
return out.Choices[0].Message.Content, nil
}
// GenerateFull 非流式调用,返回完整 ChatResult(含 usage)
func (c *Client) GenerateFull(messages []Message) (*ChatResult, error) {
resp, err := c.post("/chat/completions", map[string]any{
"model": c.model,
"messages": messages,
"stream": false,
"temperature": c.temperature,
"max_tokens": c.maxTokens,
})
if err != nil {
return nil, fmt.Errorf("LLM 服务不可达: %w", err)
}
defer resp.Body.Close()
data, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("读取 LLM 响应失败: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("LLM 返回 %d: %s", resp.StatusCode, truncate(string(data), 200))
}
var raw struct {
Model string `json:"model"`
Choices []struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
FinishReason string `json:"finish_reason"`
} `json:"choices"`
Usage *struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
} `json:"usage"`
}
if err := json.Unmarshal(data, &raw); err != nil {
return nil, fmt.Errorf("LLM 响应解析失败: %w", err)
}
if len(raw.Choices) == 0 || strings.TrimSpace(raw.Choices[0].Message.Content) == "" {
return nil, fmt.Errorf("LLM 返回空正文")
}
result := &ChatResult{
Content: raw.Choices[0].Message.Content,
Model: raw.Model,
FinishReason: raw.Choices[0].FinishReason,
}
if raw.Usage != nil {
result.Usage.PromptTokens = raw.Usage.PromptTokens
result.Usage.CompletionTokens = raw.Usage.CompletionTokens
result.Usage.TotalTokens = raw.Usage.TotalTokens
}
return result, nil
}
// ──────────────────────────────────────────────
// 流式调用
// ──────────────────────────────────────────────
// GenerateStream SSE 流式调用,逐 chunk 回调
func (c *Client) GenerateStream(messages []Message, onChunk func(string)) error {
resp, err := c.post("/chat/completions", map[string]any{
"model": c.model,
"messages": messages,
"stream": true,
"temperature": c.temperature,
"max_tokens": c.maxTokens,
"stream_options": map[string]any{"include_usage": true},
})
if err != nil {
return fmt.Errorf("LLM 服务不可达: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
data, _ := io.ReadAll(resp.Body)
return fmt.Errorf("LLM 返回 %d: %s", resp.StatusCode, truncate(string(data), 200))
}
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
}
payload := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
if payload == "[DONE]" {
break
}
var chunk struct {
Choices []struct {
Delta struct {
Content string `json:"content"`
} `json:"delta"`
} `json:"choices"`
}
if err := json.Unmarshal([]byte(payload), &chunk); err != nil {
continue
}
if len(chunk.Choices) > 0 && chunk.Choices[0].Delta.Content != "" {
onChunk(chunk.Choices[0].Delta.Content)
}
}
return scanner.Err()
}
// ──────────────────────────────────────────────
// Embedding
// ──────────────────────────────────────────────
// Embed 批量向量化
func (c *Client) Embed(inputs []string) ([][]float64, error) {
resp, err := c.post("/embeddings", map[string]any{
"model": c.model, "input": inputs,
})
if err != nil {
return nil, fmt.Errorf("embedding 服务不可达: %w", err)
}
defer resp.Body.Close()
data, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("读取 embedding 响应失败: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("embedding 返回 %d: %s", resp.StatusCode, truncate(string(data), 200))
}
var out struct {
Data []struct {
Embedding []float64 `json:"embedding"`
} `json:"data"`
}
if err := json.Unmarshal(data, &out); err != nil {
return nil, fmt.Errorf("embedding 响应解析失败: %w", err)
}
res := make([][]float64, len(out.Data))
for i, d := range out.Data {
res[i] = d.Embedding
}
return res, nil
}
// ──────────────────────────────────────────────
// Fallback 链调用
// ──────────────────────────────────────────────
// buildRouteChain 构建「主路由 + 回退链」。
//
// primary 为 nil 时必须显式报错而不是继续:链里存 nil 会在循环里 NewClient(nil),
// 而取 primary.RouteID 更是直接空指针。历史上 batch_extract / contract_review
// 就是直接传了 nil,导致这两个接口必 500。调用方应先用 config.GetRoute 解析路由。
func buildRouteChain(primary *config.RouteConfig) ([]*config.RouteConfig, error) {
if primary == nil {
return nil, fmt.Errorf("主路由为 nil:调用方未解析 AI 路由,请先用 config.GetRoute 取路由")
}
aiRouteChain := []*config.RouteConfig{primary}
if fallbacks, err := config.GetFallbackRoutes(primary.RouteID); err == nil && len(fallbacks) > 0 {
aiRouteChain = append(aiRouteChain, fallbacks...)
}
return aiRouteChain, nil
}
// GenerateWithFallback 依次尝试主路由 + 回退链,首个成功返回
func GenerateWithFallback(primary *config.RouteConfig, messages []Message) (string, error) {
aiRouteChain, err := buildRouteChain(primary)
if err != nil {
return "", err
}
var lastErr error
for _, aiRoute := range aiRouteChain {
client := NewClient(aiRoute)
start := time.Now()
content, err := client.Generate(messages)
if err == nil {
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: true,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
})
return content, nil
}
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: false,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
LastError: err.Error(),
})
lastErr = fmt.Errorf("[%s] %w", aiRoute.RouteID, err)
}
return "", fmt.Errorf("所有路由均失败: %w", lastErr)
}
// GenerateFullWithFallback 非流式 + 回退链:返回结果与「实际命中」的路由(用于审计)
func GenerateFullWithFallback(primary *config.RouteConfig, messages []Message) (*ChatResult, *config.RouteConfig, error) {
aiRouteChain, err := buildRouteChain(primary)
if err != nil {
return nil, nil, err
}
var lastErr error
for _, aiRoute := range aiRouteChain {
client := NewClient(aiRoute)
start := time.Now()
res, err := client.GenerateFull(messages)
if err == nil {
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: true,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
})
res.Provider = aiRoute.Provider
return res, aiRoute, nil
}
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: false,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
LastError: err.Error(),
})
lastErr = fmt.Errorf("[%s] %w", aiRoute.RouteID, err)
}
return nil, nil, fmt.Errorf("所有路由均失败: %w", lastErr)
}
// GenerateStreamWithFallback 流式 + 回退链:返回实际命中的路由
func GenerateStreamWithFallback(primary *config.RouteConfig, messages []Message, onChunk func(string)) (*config.RouteConfig, error) {
aiRouteChain, err := buildRouteChain(primary)
if err != nil {
return nil, err
}
var lastErr error
for _, aiRoute := range aiRouteChain {
if requiresAPIKey(aiRoute) && strings.TrimSpace(aiRoute.APIKey) == "" {
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: false,
Checked: true,
LastCheckedAt: time.Now(),
LastError: "未配置 API Key",
})
lastErr = fmt.Errorf("[%s] 未配置 API Key", aiRoute.RouteID)
continue
}
client := NewClient(aiRoute)
start := time.Now()
if err := client.GenerateStream(messages, onChunk); err == nil {
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: true,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
})
return aiRoute, nil
} else {
config.ReportRouteHealth(config.RouteHealth{
AIRouteID: aiRoute.RouteID,
Category: aiRoute.Category,
Healthy: false,
Checked: true,
LatencyMs: time.Since(start).Milliseconds(),
LastCheckedAt: time.Now(),
LastError: err.Error(),
})
lastErr = fmt.Errorf("[%s] %w", aiRoute.RouteID, err)
}
}
return nil, fmt.Errorf("所有路由均失败: %w", lastErr)
}
func requiresAPIKey(aiRoute *config.RouteConfig) bool {
if aiRoute == nil {
return false
}
baseURL := strings.ToLower(strings.TrimSpace(aiRoute.BaseURL))
if strings.Contains(baseURL, "openrouter.ai") || strings.Contains(baseURL, "openai.com") {
return true
}
provider := strings.ToLower(strings.TrimSpace(aiRoute.Provider))
return provider == "openrouter" || provider == "openai"
}
// ──────────────────────────────────────────────
// 配置解析(兼容旧接口)
// ──────────────────────────────────────────────
// LLMConfig 简单的 LLM 连接配置(旧版,逐步淘汰)
type LLMConfig struct {
BaseURL string
APIKey string
Model string
EmbedModel string
MaxTokens int
Temperature float64
}
// ResolveLLM 旧版:从 DB/环境 解析 LLM 配置
func ResolveLLM(cfg *config.Config) (LLMConfig, bool) {
get := func(key, def string) string {
var sc model.SystemConfig
if err := store.DB.Where("config_key = ?", key).First(&sc).Error; err == nil && strings.TrimSpace(sc.ConfigValue) != "" {
return sc.ConfigValue
}
return def
}
baseURL := get("llm_base_url", cfg.LLMBaseURL)
apiKey := get("llm_api_key", cfg.LLMAPIKey)
modelName := get("llm_model", cfg.LLMModel)
embedModel := get("embed_model", cfg.EmbedModel)
// DB 空时降级到 JSON secrets(flat 格式)
if baseURL == "" || apiKey == "" {
if baseURL == "" {
baseURL = config.GetProviderBaseURL("ollama")
}
if apiKey == "" {
apiKey = config.GetProviderAPIKey("ollama")
}
}
c := LLMConfig{
BaseURL: baseURL,
APIKey: apiKey,
Model: modelName,
EmbedModel: embedModel,
MaxTokens: 2048,
Temperature: 0.7,
}
if c.BaseURL == "" || c.Model == "" {
return c, false
}
return c, true
}
func truncate(s string, n int) string {
r := []rune(s)
if len(r) <= n {
return s
}
return string(r[:n]) + "..."
}