(options: RunAgentOptions)
| 62 | } |
| 63 | |
| 64 | export async function runServerAgent(options: RunAgentOptions): Promise<void> { |
| 65 | const { |
| 66 | userMessage, |
| 67 | aiChatId, |
| 68 | historyLeafMessageId, |
| 69 | chatType = 'group', |
| 70 | locale = 'zh-CN', |
| 71 | assistantSystemPrompt, |
| 72 | skillMenu, |
| 73 | skillDef, |
| 74 | compressionConfig, |
| 75 | tools = [], |
| 76 | aiDataDir, |
| 77 | aiChatManager, |
| 78 | onEvent, |
| 79 | abortSignal, |
| 80 | ownerInfo, |
| 81 | mentionedMembers, |
| 82 | dataSnapshot, |
| 83 | thinkingLevel, |
| 84 | chartAutoMode = 'suggest', |
| 85 | } = options |
| 86 | |
| 87 | const aiLogger = getServerAiLogger() |
| 88 | |
| 89 | // 确保 tokenizer rank 表已加载(compression + agent 路径均依赖) |
| 90 | await initTokenizer() |
| 91 | |
| 92 | const llmConfig = getDefaultAssistantConfig(aiDataDir) |
| 93 | if (!llmConfig) { |
| 94 | onEvent({ type: 'error', error: { name: 'ConfigError', message: 'LLM service not configured' } }) |
| 95 | onEvent({ type: 'done', isFinished: true }) |
| 96 | return |
| 97 | } |
| 98 | |
| 99 | const piModel = buildPiModel(llmConfig) |
| 100 | const t = createAiTranslate(locale) |
| 101 | |
| 102 | let skillCtx: { skillDef?: { name: string; prompt: string }; skillMenu?: string } | undefined |
| 103 | if (skillDef) { |
| 104 | skillCtx = { skillDef } |
| 105 | } else if (skillMenu) { |
| 106 | skillCtx = { skillMenu } |
| 107 | } |
| 108 | |
| 109 | const systemPrompt = buildSystemPrompt({ |
| 110 | t, |
| 111 | chatType, |
| 112 | assistantSystemPrompt, |
| 113 | ownerInfo, |
| 114 | locale, |
| 115 | skillCtx, |
| 116 | mentionedMembers, |
| 117 | dataSnapshot, |
| 118 | }) |
| 119 | |
| 120 | const handler = new AgentEventHandler({ |
| 121 | onChunk: onEvent, |
no test coverage detected