Feat: openai type func call for llamacpp

bot.go

@@ -554,12 +554,14 @@ func init() {
 		cluedoState = extra.CluedoPrepCards(playerOrder)
 	}
 	if cfg.OpenRouterToken != "" {
-		ORModels, err := fetchORModels(true)
-		if err != nil {
-			logger.Error("failed to fetch or models", "error", err)
-		} else {
-			ORFreeModels = ORModels
-		}
+		go func() {
+			ORModels, err := fetchORModels(true)
+			if err != nil {
+				logger.Error("failed to fetch or models", "error", err)
+			} else {
+				ORFreeModels = ORModels
+			}
+		}()
 	}
 	choseChunkParser()
 	httpClient = createClient(time.Second * 15)

llm.go

@@ -151,26 +151,18 @@ func (op OpenAIer) ParseChunk(data []byte) (string, bool, error) {
 
 func (op OpenAIer) FormMsg(msg, role string, resume bool) (io.Reader, error) {
 	logger.Debug("formmsg openaier", "link", cfg.CurrentAPI)
-	if cfg.ToolUse && !resume {
-		// prompt += "\n" + cfg.ToolRole + ":\n" + toolSysMsg
-		// add to chat body
-		chatBody.Messages = append(chatBody.Messages, models.RoleMsg{Role: cfg.ToolRole, Content: toolSysMsg})
-	}
 	if msg != "" { // otherwise let the bot continue
 		newMsg := models.RoleMsg{Role: role, Content: msg}
 		chatBody.Messages = append(chatBody.Messages, newMsg)
-		// if rag
-		if cfg.RAGEnabled {
-			ragResp, err := chatRagUse(newMsg.Content)
-			if err != nil {
-				logger.Error("failed to form a rag msg", "error", err)
-				return nil, err
-			}
-			ragMsg := models.RoleMsg{Role: cfg.ToolRole, Content: ragResp}
-			chatBody.Messages = append(chatBody.Messages, ragMsg)
-		}
 	}
-	data, err := json.Marshal(chatBody)
+	req := models.OpenAIReq{
+		ChatBody: chatBody,
+		Tools:    nil,
+	}
+	if cfg.ToolUse && !resume {
+		req.Tools = baseTools // set tools to use
+	}
+	data, err := json.Marshal(req)
 	if err != nil {
 		logger.Error("failed to form a msg", "error", err)
 		return nil, err

models/models.go

@@ -285,7 +285,7 @@ type Tool struct {
 }
 
 type OpenAIReq struct {
-	ChatBody
+	*ChatBody
 	Tools []Tool `json:"tools"`
 }
 

tools.go

@@ -166,4 +166,35 @@ var baseTools = []models.Tool{
 			},
 		},
 	},
+	// recall
+	models.Tool{
+		Type: "function",
+		Function: models.ToolFunc{
+			Name:        "recall",
+			Description: "recall topic-data from key-value cache",
+			Parameters: models.ToolFuncParams{
+				Type:     "object",
+				Required: []string{"topic"},
+				Properties: map[string]models.ToolArgProps{
+					"topic": models.ToolArgProps{
+						Type:        "string",
+						Description: "topic is the key to recall data from",
+					},
+				},
+			},
+		},
+	},
+	// recall_topics
+	models.Tool{
+		Type: "function",
+		Function: models.ToolFunc{
+			Name:        "recall_topics",
+			Description: "recall all topics from key-value cache",
+			Parameters: models.ToolFuncParams{
+				Type:       "object",
+				Required:   []string{},
+				Properties: map[string]models.ToolArgProps{},
+			},
+		},
+	},
 }