package llm import ( "bytes" "encoding/json" "errors" "fmt" "io" "net/http" "time" ) var InstanceNotFoundError = errors.New("instance not found") var empty = llamaResponse{} func (g *LLMPlugin) llama() (chatEntry, error) { llamaURL := g.c.GetArray("gpt.llamaurls", []string{}) if len(llamaURL) == 0 { return chatEntry{}, fmt.Errorf("could not find llama url") } llamaModel := g.c.Get("gpt.llamamodel", "") if llamaModel == "" { return chatEntry{}, fmt.Errorf("could not find llama model") } req := llamaRequest{ Model: llamaModel, Messages: g.chatHistory, Stream: false, } for _, u := range llamaURL { llamaResp, err := mkRequest(u, req) if err != nil { continue } return llamaResp.Message, nil } return chatEntry{}, InstanceNotFoundError } func mkRequest(llamaURL string, req llamaRequest) (llamaResponse, error) { body, err := json.Marshal(req) if err != nil { return empty, fmt.Errorf("could not marshal llama request: %w", err) } resp, err := http.Post(llamaURL, "application/json", bytes.NewBuffer(body)) if err != nil { return empty, fmt.Errorf("could not post llama request: %w", err) } if resp.StatusCode == 503 { return empty, InstanceNotFoundError } body, _ = io.ReadAll(resp.Body) llamaResp := llamaResponse{} err = json.Unmarshal(body, &llamaResp) if err != nil { return empty, fmt.Errorf("could not unmarshal llama response: %w, raw: %s", err, string(body)) } return llamaResp, nil } type llamaRequest struct { Model string `json:"model"` Stream bool `json:"stream"` Messages []chatEntry `json:"messages"` } type llamaResponse struct { Model string `json:"model"` CreatedAt time.Time `json:"created_at"` Message chatEntry `json:"message"` DoneReason string `json:"done_reason"` Done bool `json:"done"` TotalDuration int64 `json:"total_duration"` LoadDuration int `json:"load_duration"` PromptEvalDuration int `json:"prompt_eval_duration"` EvalCount int `json:"eval_count"` EvalDuration int64 `json:"eval_duration"` }