| 1 | /** |
| 2 | * TaskInstance - 工作流处理模块 |
| 3 | * 处理工作流步骤、工具调用等 |
| 4 | */ |
| 5 | |
| 6 | import type { IMessageStep, IWorkflowStep } from '../agent.types' |
| 7 | import type { IWorkflowHandlerContext } from './task-instance.types' |
| 8 | |
| 9 | // ============ 步骤管理 ============ |
| 10 | |
| 11 | /** |
| 12 | * 开始新步骤 |
| 13 | */ |
| 14 | export function startNewStep(ctx: IWorkflowHandlerContext): void { |
| 15 | // 保存当前步骤（如果有文本内容或工作流步骤） |
| 16 | const streamingText = ctx.getStreamingText() |
| 17 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 18 | |
| 19 | if (streamingText.trim() || currentStepWorkflow.length > 0) { |
| 20 | saveCurrentStepToMessage(ctx) |
| 21 | } |
| 22 | |
| 23 | // 重置当前步骤状态 |
| 24 | ctx.setStreamingText('') |
| 25 | ctx.setCurrentStepWorkflow([]) |
| 26 | ctx.incrementCurrentStepIndex() |
| 27 | } |
| 28 | |
| 29 | /** |
| 30 | * 保存当前步骤到消息中 |
| 31 | */ |
| 32 | export function saveCurrentStepToMessage(ctx: IWorkflowHandlerContext): void { |
| 33 | const streamingText = ctx.getStreamingText() |
| 34 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 35 | const currentStepIndex = ctx.getCurrentStepIndex() |
| 36 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 37 | |
| 38 | const hasContent = streamingText.trim() |
| 39 | const hasWorkflow = currentStepWorkflow.length > 0 |
| 40 | |
| 41 | if (currentStepIndex < 0 || (!hasContent && !hasWorkflow)) { |
| 42 | return |
| 43 | } |
| 44 | |
| 45 | const stepData: IMessageStep = { |
| 46 | id: `step-${currentStepIndex}-saved`, |
| 47 | content: streamingText, |
| 48 | workflowSteps: [...currentStepWorkflow], |
| 49 | isActive: false, |
| 50 | timestamp: Date.now(), |
| 51 | } |
| 52 | |
| 53 | ctx.updateData(data => ({ |
| 54 | messages: data.messages.map((m) => { |
| 55 | if (m.id === currentAssistantMessageId) { |
| 56 | const steps = m.steps ? [...m.steps] : [] |
| 57 | // 查找匹配的步骤 |
| 58 | const liveStepId = `step-${currentStepIndex}-live` |
| 59 | const existingIndex = steps.findIndex( |
| 60 | (s: IMessageStep) => s.id === liveStepId || s.id.startsWith(`step-${currentStepIndex}-`), |
| 61 | ) |
| 62 | if (existingIndex >= 0) { |
| 63 | const existingStep = steps[existingIndex] |
| 64 | steps[existingIndex] = { |
| 65 | ...stepData, |
| 66 | workflowSteps: |
| 67 | stepData.workflowSteps && stepData.workflowSteps.length > 0 |
| 68 | ? stepData.workflowSteps |
| 69 | : existingStep.workflowSteps || [], |
| 70 | } |
| 71 | } |
| 72 | else { |
| 73 | steps.push(stepData) |
| 74 | } |
| 75 | return { ...m, steps } |
| 76 | } |
| 77 | return m |
| 78 | }), |
| 79 | })) |
| 80 | } |
| 81 | |
| 82 | // ============ 工作流步骤管理 ============ |
| 83 | |
| 84 | /** |
| 85 | * 添加工作流步骤 |
| 86 | * 根据 currentStepIndex 找到或创建对应的步骤，避免工具调用被错误地添加到旧步骤中 |
| 87 | */ |
| 88 | export function addWorkflowStep(ctx: IWorkflowHandlerContext, step: IWorkflowStep): void { |
| 89 | ctx.pushToCurrentStepWorkflow(step) |
| 90 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 91 | const currentStepIndex = ctx.getCurrentStepIndex() |
| 92 | |
| 93 | // 更新当前任务的工作流步骤（用于UI显示） |
| 94 | ctx.updateData(data => ({ |
| 95 | workflowSteps: [ |
| 96 | ...data.workflowSteps.map((s: IWorkflowStep) => ({ ...s, isActive: false })), |
| 97 | step, |
| 98 | ], |
| 99 | })) |
| 100 | |
| 101 | // 实时更新消息中的当前步骤的工作流 |
| 102 | ctx.updateData(data => ({ |
| 103 | messages: data.messages.map((m) => { |
| 104 | if (m.id === currentAssistantMessageId) { |
| 105 | const steps = m.steps ? [...m.steps] : [] |
| 106 | |
| 107 | // 根据 currentStepIndex 找到对应的步骤 |
| 108 | const currentStepId = `step-${currentStepIndex}-live` |
| 109 | const savedStepId = `step-${currentStepIndex}-saved` |
| 110 | const existingIndex = steps.findIndex( |
| 111 | (s: IMessageStep) => s.id === currentStepId || s.id === savedStepId, |
| 112 | ) |
| 113 | |
| 114 | if (existingIndex >= 0) { |
| 115 | // 更新已存在的步骤 |
| 116 | const existingStep = steps[existingIndex] |
| 117 | steps[existingIndex] = { |
| 118 | ...existingStep, |
| 119 | workflowSteps: [...(existingStep.workflowSteps || []), step], |
| 120 | } |
| 121 | } |
| 122 | else { |
| 123 | // 创建新步骤 |
| 124 | steps.push({ |
| 125 | id: currentStepId, |
| 126 | content: '', |
| 127 | workflowSteps: [step], |
| 128 | isActive: true, |
| 129 | timestamp: Date.now(), |
| 130 | }) |
| 131 | } |
| 132 | |
| 133 | return { ...m, steps } |
| 134 | } |
| 135 | return m |
| 136 | }), |
| 137 | })) |
| 138 | } |
| 139 | |
| 140 | /** |
| 141 | * 更新最后一个工作流步骤 |
| 142 | */ |
| 143 | export function updateLastWorkflowStep( |
| 144 | ctx: IWorkflowHandlerContext, |
| 145 | updater: (step: IWorkflowStep) => IWorkflowStep, |
| 146 | ): void { |
| 147 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 148 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 149 | |
| 150 | // 更新当前步骤的工作流 |
| 151 | if (currentStepWorkflow.length > 0) { |
| 152 | const updatedWorkflow = [...currentStepWorkflow] |
| 153 | const lastIndex = updatedWorkflow.length - 1 |
| 154 | updatedWorkflow[lastIndex] = updater(updatedWorkflow[lastIndex]) |
| 155 | ctx.setCurrentStepWorkflow(updatedWorkflow) |
| 156 | } |
| 157 | |
| 158 | // 更新当前任务的工作流步骤 |
| 159 | ctx.updateData((data) => { |
| 160 | const steps = [...data.workflowSteps] |
| 161 | if (steps.length > 0) { |
| 162 | steps[steps.length - 1] = updater(steps[steps.length - 1]) |
| 163 | } |
| 164 | return { workflowSteps: steps } |
| 165 | }) |
| 166 | |
| 167 | // 更新消息中的工作流步骤 |
| 168 | ctx.updateData(data => ({ |
| 169 | messages: data.messages.map((m) => { |
| 170 | if (m.id === currentAssistantMessageId) { |
| 171 | const steps = m.steps ? [...m.steps] : [] |
| 172 | if (steps.length > 0) { |
| 173 | const lastStep = steps[steps.length - 1] |
| 174 | if (lastStep.workflowSteps && lastStep.workflowSteps.length > 0) { |
| 175 | const workflowSteps = [...lastStep.workflowSteps] |
| 176 | workflowSteps[workflowSteps.length - 1] = updater( |
| 177 | workflowSteps[workflowSteps.length - 1], |
| 178 | ) |
| 179 | steps[steps.length - 1] = { ...lastStep, workflowSteps } |
| 180 | return { ...m, steps } |
| 181 | } |
| 182 | } |
| 183 | } |
| 184 | return m |
| 185 | }), |
| 186 | })) |
| 187 | } |
| 188 | |
| 189 | // ============ 工具调用处理 ============ |
| 190 | |
| 191 | /** |
| 192 | * 处理工具调用完成 |
| 193 | */ |
| 194 | export function handleToolCallComplete( |
| 195 | ctx: IWorkflowHandlerContext, |
| 196 | toolName: string, |
| 197 | toolInput: string, |
| 198 | ): void { |
| 199 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 200 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 201 | |
| 202 | // 更新当前步骤的工作流 |
| 203 | const stepIndex = currentStepWorkflow.findIndex( |
| 204 | s => s.type === 'tool_call' && s.toolName === toolName && s.isActive, |
| 205 | ) |
| 206 | if (stepIndex >= 0) { |
| 207 | const updatedWorkflow = [...currentStepWorkflow] |
| 208 | updatedWorkflow[stepIndex] = { |
| 209 | ...updatedWorkflow[stepIndex], |
| 210 | content: toolInput, |
| 211 | isActive: false, |
| 212 | } |
| 213 | ctx.setCurrentStepWorkflow(updatedWorkflow) |
| 214 | } |
| 215 | |
| 216 | // 更新当前任务的工作流步骤 |
| 217 | ctx.updateData((data) => { |
| 218 | const steps = [...data.workflowSteps] |
| 219 | const globalStepIndex = steps.findIndex( |
| 220 | s => s.type === 'tool_call' && s.toolName === toolName && s.isActive, |
| 221 | ) |
| 222 | if (globalStepIndex >= 0) { |
| 223 | steps[globalStepIndex] = { |
| 224 | ...steps[globalStepIndex], |
| 225 | content: toolInput, |
| 226 | isActive: false, |
| 227 | } |
| 228 | } |
| 229 | return { workflowSteps: steps } |
| 230 | }) |
| 231 | |
| 232 | // 记录到 markdown 消息 |
| 233 | const displayName = toolName.replace(/^mcp__\w+__/, '') |
| 234 | ctx.addMarkdownMessage(`🔧 **Tool Call**: \`${displayName}\`\n\`\`\`json\n${toolInput}\n\`\`\``) |
| 235 | } |
| 236 | |
| 237 | /** |
| 238 | * 处理工具结果 |
| 239 | * 找到最近的没有 result 的 tool_call 步骤，更新其 result 字段 |
| 240 | */ |
| 241 | export function handleToolResult(ctx: IWorkflowHandlerContext, resultText: string): void { |
| 242 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 243 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 244 | |
| 245 | // 找到最近的没有 result 的 tool_call 步骤 |
| 246 | const lastToolCallIndex = [...currentStepWorkflow] |
| 247 | .reverse() |
| 248 | .findIndex(s => s.type === 'tool_call' && !s.result) |
| 249 | |
| 250 | if (lastToolCallIndex === -1) { |
| 251 | console.warn('[WorkflowHandler] No pending tool_call found for tool_result') |
| 252 | return |
| 253 | } |
| 254 | |
| 255 | // 转换为正向索引 |
| 256 | const stepIndex = currentStepWorkflow.length - 1 - lastToolCallIndex |
| 257 | const toolCallStep = currentStepWorkflow[stepIndex] |
| 258 | |
| 259 | // 更新当前步骤的工作流 |
| 260 | const updatedWorkflow = [...currentStepWorkflow] |
| 261 | updatedWorkflow[stepIndex] = { |
| 262 | ...updatedWorkflow[stepIndex], |
| 263 | result: resultText, |
| 264 | isActive: false, |
| 265 | } |
| 266 | ctx.setCurrentStepWorkflow(updatedWorkflow) |
| 267 | |
| 268 | // 更新全局 workflowSteps |
| 269 | ctx.updateData((data) => { |
| 270 | const steps = [...data.workflowSteps] |
| 271 | const globalStepIndex = steps.findIndex( |
| 272 | s => s.id === toolCallStep.id && s.type === 'tool_call' && !s.result, |
| 273 | ) |
| 274 | if (globalStepIndex >= 0) { |
| 275 | steps[globalStepIndex] = { |
| 276 | ...steps[globalStepIndex], |
| 277 | result: resultText, |
| 278 | isActive: false, |
| 279 | } |
| 280 | } |
| 281 | return { workflowSteps: steps } |
| 282 | }) |
| 283 | |
| 284 | // 更新消息中的工作流步骤 |
| 285 | ctx.updateData(data => ({ |
| 286 | messages: data.messages.map((m) => { |
| 287 | if (m.id === currentAssistantMessageId) { |
| 288 | const steps = m.steps ? [...m.steps] : [] |
| 289 | if (steps.length > 0) { |
| 290 | const lastStep = steps[steps.length - 1] |
| 291 | if (lastStep.workflowSteps && lastStep.workflowSteps.length > 0) { |
| 292 | const workflowSteps = [...lastStep.workflowSteps] |
| 293 | const msgStepIndex = workflowSteps.findIndex( |
| 294 | s => s.id === toolCallStep.id && s.type === 'tool_call' && !s.result, |
| 295 | ) |
| 296 | if (msgStepIndex >= 0) { |
| 297 | workflowSteps[msgStepIndex] = { |
| 298 | ...workflowSteps[msgStepIndex], |
| 299 | result: resultText, |
| 300 | isActive: false, |
| 301 | } |
| 302 | steps[steps.length - 1] = { ...lastStep, workflowSteps } |
| 303 | return { ...m, steps } |
| 304 | } |
| 305 | } |
| 306 | } |
| 307 | } |
| 308 | return m |
| 309 | }), |
| 310 | })) |
| 311 | |
| 312 | // 记录到 markdown 消息 |
| 313 | const displayResult = resultText.length > 500 ? `${resultText.substring(0, 500)}...` : resultText |
| 314 | ctx.addMarkdownMessage(`📋 **Tool Result**:\n\`\`\`\n${displayResult}\n\`\`\``) |
| 315 | } |
| 316 | |
| 317 | // ============ 文本增量处理 ============ |
| 318 | |
| 319 | /** |
| 320 | * 处理文本增量更新 |
| 321 | */ |
| 322 | export function handleTextDelta(ctx: IWorkflowHandlerContext): void { |
| 323 | const streamingText = ctx.getStreamingText() |
| 324 | const currentStepWorkflow = ctx.getCurrentStepWorkflow() |
| 325 | const currentStepIndex = ctx.getCurrentStepIndex() |
| 326 | const currentAssistantMessageId = ctx.getCurrentAssistantMessageId() |
| 327 | |
| 328 | // 更新当前任务的 streamingText 和 markdownMessages |
| 329 | ctx.updateData((data) => { |
| 330 | const newMessages = [...data.markdownMessages] |
| 331 | if (newMessages.length > 0 && newMessages[newMessages.length - 1].startsWith('🤖 ')) { |
| 332 | newMessages[newMessages.length - 1] = `🤖 ${streamingText}` |
| 333 | } |
| 334 | else { |
| 335 | newMessages.push(`🤖 ${streamingText}`) |
| 336 | } |
| 337 | return { |
| 338 | streamingText, |
| 339 | markdownMessages: newMessages, |
| 340 | } |
| 341 | }) |
| 342 | |
| 343 | // 更新消息列表中的 assistant 消息 |
| 344 | ctx.updateData((data) => { |
| 345 | return { |
| 346 | messages: data.messages.map((m) => { |
| 347 | // 使用实例的 currentAssistantMessageId，或回退到最后一个 assistant 消息 |
| 348 | const targetAssistantId |
| 349 | = currentAssistantMessageId |
| 350 | || (() => { |
| 351 | const msgs = data.messages || [] |
| 352 | for (let i = msgs.length - 1; i >= 0; i--) { |
| 353 | if (msgs[i].role === 'assistant') |
| 354 | return msgs[i].id |
| 355 | } |
| 356 | return '' |
| 357 | })() |
| 358 | |
| 359 | if (m.id === targetAssistantId) { |
| 360 | const steps = m.steps || [] |
| 361 | const updatedSteps = [...steps] |
| 362 | const currentStepId = `step-${currentStepIndex}-live` |
| 363 | const currentStepData: IMessageStep = { |
| 364 | id: currentStepId, |
| 365 | content: streamingText, |
| 366 | workflowSteps: [...currentStepWorkflow], |
| 367 | isActive: true, |
| 368 | timestamp: Date.now(), |
| 369 | } |
| 370 | |
| 371 | const existingStepIndex = updatedSteps.findIndex( |
| 372 | (s: IMessageStep) => s.id === currentStepId || s.id === `step-${currentStepIndex}-saved`, |
| 373 | ) |
| 374 | |
| 375 | if (existingStepIndex >= 0) { |
| 376 | updatedSteps[existingStepIndex] = currentStepData |
| 377 | } |
| 378 | else { |
| 379 | updatedSteps.push(currentStepData) |
| 380 | } |
| 381 | |
| 382 | const totalContent = updatedSteps.map((s: IMessageStep) => s.content).join('\n\n') |
| 383 | |
| 384 | return { |
| 385 | ...m, |
| 386 | content: totalContent, |
| 387 | status: 'streaming' as const, |
| 388 | steps: updatedSteps, |
| 389 | } |
| 390 | } |
| 391 | return m |
| 392 | }), |
| 393 | } |
| 394 | }) |
| 395 | } |
| 396 |