feat: 支持全局配置插件

app/client/api.ts

@@ -23,6 +23,11 @@ export interface LLMConfig {
   frequency_penalty?: number;
 }
 
+export interface LLMAgentConfig {
+  maxIterations: number;
+  returnIntermediateSteps: boolean;
+}
+
 export interface ChatOptions {
   messages: RequestMessage[];
   config: LLMConfig;
@@ -33,6 +38,17 @@ export interface ChatOptions {
   onController?: (controller: AbortController) => void;
 }
 
+export interface AgentChatOptions {
+  messages: RequestMessage[];
+  config: LLMConfig;
+  agentConfig: LLMAgentConfig;
+  onToolUpdate?: (toolName: string, toolInput: string) => void;
+  onUpdate?: (message: string, chunk: string) => void;
+  onFinish: (message: string) => void;
+  onError?: (err: Error) => void;
+  onController?: (controller: AbortController) => void;
+}
+
 export interface LLMUsage {
   used: number;
   total: number;
@@ -45,7 +61,7 @@ export interface LLMModel {
 
 export abstract class LLMApi {
   abstract chat(options: ChatOptions): Promise<void>;
-  abstract toolAgentChat(options: ChatOptions): Promise<void>;
+  abstract toolAgentChat(options: AgentChatOptions): Promise<void>;
   abstract usage(): Promise<LLMUsage>;
   abstract models(): Promise<LLMModel[]>;
 }

app/client/platforms/openai.ts

@@ -6,7 +6,14 @@ import {
 } from "@/app/constant";
 import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
 
-import { ChatOptions, getHeaders, LLMApi, LLMModel, LLMUsage } from "../api";
+import {
+  AgentChatOptions,
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  LLMUsage,
+} from "../api";
 import Locale from "../../locales";
 import {
   EventStreamContentType,
@@ -188,7 +195,7 @@ export class ChatGPTApi implements LLMApi {
     }
   }
 
-  async toolAgentChat(options: ChatOptions) {
+  async toolAgentChat(options: AgentChatOptions) {
     const messages = options.messages.map((v) => ({
       role: v.role,
       content: v.content,
@@ -210,6 +217,8 @@ export class ChatGPTApi implements LLMApi {
       presence_penalty: modelConfig.presence_penalty,
       frequency_penalty: modelConfig.frequency_penalty,
       top_p: modelConfig.top_p,
+      maxIterations: options.agentConfig.maxIterations,
+      returnIntermediateSteps: options.agentConfig.returnIntermediateSteps,
     };
 
     console.log("[Request] openai payload: ", requestPayload);