diff --git a/src/main/services/ai/director/prompts/intent.ts b/src/main/services/ai/director/prompts/intent.ts
index 38205e0e..cfb10556 100644
--- a/src/main/services/ai/director/prompts/intent.ts
+++ b/src/main/services/ai/director/prompts/intent.ts
@@ -1,33 +1,63 @@
import {
- buildDirectorPromptUserContext,
type IntentPromptInput,
JSON_ONLY_INTENT_CONTRACT
} from './shared'
+import { renderLineList } from '../../utils/render'
+
+export const buildIntentSystemPrompt = (): string =>
+ [
+ '【角色】你是请求分流决策器。',
+ '【目标】在 need_context / to_plan / direct_human 三者中选择唯一模式。',
+ '【背景】你只能依据当前输入字段判断，不得使用未提供信息。',
+ '【流程】先判断信息是否不足，再判断是否需要本地工具执行，最后给出结构化决策。',
+ '【范围】若用户已显式选择参考资料，默认视为优先参考范围；涉及本地资料时优先走本地能力，不要忽略这些选择。',
+ '【约束】不得编造上下文；reason 必须说明判定依据。',
+ '【输出】',
+ JSON_ONLY_INTENT_CONTRACT,
+ '【样例-正】当用户请求“请把 A 文档改成模板并保存”且需要多个业务动作时，输出 mode=to_plan。',
+ '【样例-正】当用户请求“总结这篇文章并按要求输出”且单个 human 可闭环完成时，输出 mode=direct_human。',
+ '【样例-正】当用户问“继续刚才第二步”但缺少指代信息时，输出 mode=need_context。',
+ '【样例-反】不要输出“我觉得应该先查一下”这类自然语言。'
+ ].join('\n')
+
+export const buildIntentUserPrompt = (input: IntentPromptInput): string => {
+ const contextEvidenceText = renderLineList(input.contextEvidence, {
+ fallback: '(none)',
+ style: 'plain'
+ })
+
+ return `
+
+
+${input.userInput}
+
+
+
+${input.sessionSummaryText}
+
+
+
+${input.recentTurnsText}
+
+
+
+${input.selectedContextText}
+
+
+
+${contextEvidenceText}
+
+
+
+${input.contextRounds}/${input.maxContextRounds}
+
+
+`.trim()
+}
export const buildIntentPrompt = (input: IntentPromptInput) => {
return {
- system: [
- '【角色】你是请求分流决策器。',
- '【目标】在 need_context / to_plan / direct_human 三者中选择唯一模式。',
- '【背景】你只能依据当前输入字段判断，不得使用未提供信息。',
- '【流程】先判断信息是否不足，再判断是否需要本地工具执行，最后给出结构化决策。',
- '【范围】若用户已显式选择参考资料，默认视为优先参考范围；涉及本地资料时优先走本地能力，不要忽略这些选择。',
- '【约束】不得编造上下文；reason 必须说明判定依据。',
- '【输出】',
- JSON_ONLY_INTENT_CONTRACT,
- '【样例-正】当用户请求“请把 A 文档改成模板并保存”且需要多个业务动作时，输出 mode=to_plan。',
- '【样例-正】当用户请求“总结这篇文章并按要求输出”且单个 human 可闭环完成时，输出 mode=direct_human。',
- '【样例-正】当用户问“继续刚才第二步”但缺少指代信息时，输出 mode=need_context。',
- '【样例-反】不要输出“我觉得应该先查一下”这类自然语言。'
- ].join('\n'),
- user: buildDirectorPromptUserContext({
- ...input,
- extraSections: [
- {
- label: '当前 context rounds',
- value: `${input.contextRounds}/${input.maxContextRounds}`
- }
- ]
- })
+ system: buildIntentSystemPrompt(),
+ user: buildIntentUserPrompt(input)
}
}
diff --git a/src/main/services/ai/director/prompts/plan.ts b/src/main/services/ai/director/prompts/plan.ts
index acada96e..ee87442e 100644
--- a/src/main/services/ai/director/prompts/plan.ts
+++ b/src/main/services/ai/director/prompts/plan.ts
@@ -1,24 +1,58 @@
import {
- buildDirectorPromptUserContext,
type PlanPromptInput,
JSON_ONLY_PLAN_CONTRACT
} from './shared'
+import { renderLineList } from '../../utils/render'
+
+export const buildPlanSystemPrompt = (): string =>
+ [
+ '【角色】你是任务规划器。',
+ '【目标】把用户请求拆成可独立执行的任务列表。',
+ '【背景】执行层是本地工具执行模式，典型能力包括知识库检索、终端执行、docx 处理。',
+ '【运行时约束】最终总结由 runtime 自动追加 synthesis human 负责，不要把“总结答复”写成计划中的业务任务。',
+ '【范围】若已显式选择参考资料，任务规划必须优先围绕这些本地选择取证；不要默认扩大到未选中的本地资料。',
+ '【流程】先识别最终交付物，再拆分最小可行任务，最后检查任务是否可执行可验证。',
+ '【约束】每个 userInput 必须包含“动作 + 对象 + 完成判据”；禁止空泛任务。',
+ '【输出】',
+ JSON_ONLY_PLAN_CONTRACT,
+ '【样例-正】userInput: "读取 /docs/a.docx，提取行动项并输出 owner/due_date/task 字段"。',
+ '【样例-反】userInput: "继续优化文档质量"。'
+ ].join('\n')
+
+export const buildPlanUserPrompt = (input: PlanPromptInput): string => {
+ const contextEvidenceText = renderLineList(input.contextEvidence, {
+ fallback: '(none)',
+ style: 'plain'
+ })
+
+ return `
+
+
+${input.userInput}
+
+
+
+${input.sessionSummaryText}
+
+
+
+${input.recentTurnsText}
+
+
+
+${input.selectedContextText}
+
+
+
+${contextEvidenceText}
+
+
+`.trim()
+}
export const buildPlanPrompt = (input: PlanPromptInput) => {
return {
- system: [
- '【角色】你是任务规划器。',
- '【目标】把用户请求拆成可独立执行的任务列表。',
- '【背景】执行层是本地工具执行模式，典型能力包括知识库检索、终端执行、docx 处理。',
- '【运行时约束】最终总结由 runtime 自动追加 synthesis human 负责，不要把“总结答复”写成计划中的业务任务。',
- '【范围】若已显式选择参考资料，任务规划必须优先围绕这些本地选择取证；不要默认扩大到未选中的本地资料。',
- '【流程】先识别最终交付物，再拆分最小可行任务，最后检查任务是否可执行可验证。',
- '【约束】每个 userInput 必须包含“动作 + 对象 + 完成判据”；禁止空泛任务。',
- '【输出】',
- JSON_ONLY_PLAN_CONTRACT,
- '【样例-正】userInput: "读取 /docs/a.docx，提取行动项并输出 owner/due_date/task 字段"。',
- '【样例-反】userInput: "继续优化文档质量"。'
- ].join('\n'),
- user: buildDirectorPromptUserContext(input)
+ system: buildPlanSystemPrompt(),
+ user: buildPlanUserPrompt(input)
}
}
diff --git a/src/main/services/ai/director/prompts/shared.ts b/src/main/services/ai/director/prompts/shared.ts
index d1e2ea4f..8a8721bd 100644
--- a/src/main/services/ai/director/prompts/shared.ts
+++ b/src/main/services/ai/director/prompts/shared.ts
@@ -1,5 +1,3 @@
-import { renderLineList, renderNamedSections } from '../../utils/render'
-
export const JSON_ONLY_INTENT_CONTRACT = [
'只输出 JSON，不得输出任何额外文字。',
'格式：{"mode":"need_context|to_plan|direct_human","reason":"string"}。',
@@ -26,29 +24,3 @@ export type IntentPromptInput = DirectorPromptSharedInput & {
}
export type PlanPromptInput = DirectorPromptSharedInput
-
-export const buildDirectorPromptUserContext = (
- input: DirectorPromptSharedInput & {
- extraSections?: Array<{ label: string; value: string }>
- }
-) =>
- renderNamedSections(
- [
- { label: '用户输入', value: input.userInput },
- { label: '会话摘要', value: input.sessionSummaryText },
- { label: '最近对话', value: input.recentTurnsText },
- { label: '用户选择的参考资料', value: input.selectedContextText },
- {
- label: '上下文证据',
- value: renderLineList(input.contextEvidence, {
- fallback: '(none)',
- style: 'plain'
- })
- },
- ...(input.extraSections || [])
- ],
- {
- fallback: '(none)',
- style: 'plain'
- }
- )
diff --git a/src/main/services/ai/human/prompts/brain.ts b/src/main/services/ai/human/prompts/brain.ts
index 3080504d..a1c7748e 100644
--- a/src/main/services/ai/human/prompts/brain.ts
+++ b/src/main/services/ai/human/prompts/brain.ts
@@ -1,6 +1,13 @@
import type { AiRunContext } from '../../types'
-import type { HumanState } from '../types'
-import { buildBrainPromptSections } from './brainContextSections'
+import { renderLineList } from '../../utils/render'
+import { getSkillDefinition } from '../skills'
+import {
+ renderHumanEvidenceLines,
+ renderHumanFactLines,
+ renderHumanOpenQuestionLines
+} from '../shared/memoryRenderers'
+import { getToolPromptSpec } from '../tools/registry'
+import type { HumanState, ToolPromptSpec } from '../types'
type HumanBrainPromptInput = {
userInput: string
@@ -12,27 +19,150 @@ type HumanBrainPromptInput = {
watchHintText: string
}
-export const buildBrainPromptContext = (input: { state: HumanState; ctx: AiRunContext }) => {
- const sections = buildBrainPromptSections(input)
-
- return buildHumanBrainPrompt({
- userInput: input.state.task.userInput,
- memorySnapshotText: sections.memorySnapshotText,
- selectedContextText: sections.selectedContextText,
- skillContextText: sections.skillContextText,
- recentToolResultsText: sections.recentToolResultsText,
- recentDecisionHistoryText: sections.recentDecisionHistoryText,
- watchHintText: [
- '如果这里是 none，表示当前没有额外的收敛提醒；否则应优先考虑结束任务或纠偏。',
- '',
- input.state.watchHint || 'none'
- ].join('\n')
+const formatPlainList = (items: string[]): string =>
+ renderLineList(items, {
+ fallback: 'none',
+ style: 'plain'
})
+
+const renderLearnedToolSpecLine = (spec: ToolPromptSpec): string => {
+ const requiredArgs = spec.args
+ .filter((arg) => arg.required)
+ .map((arg) => `${arg.name}:${arg.type}`)
+ .join(', ')
+ const example = spec.examples?.[0]
+ ? `示例目标=${spec.examples[0].goal}；示例参数键=[${Object.keys(spec.examples[0].args).join(', ') || 'none'}]`
+ : '示例=none'
+
+ return `- 工具 ${spec.name}：适用场景=${spec.whenToUse}；必填参数=[${requiredArgs || 'none'}]；${example}`
}
-export const buildHumanBrainPrompt = (input: HumanBrainPromptInput) => {
- return {
- system: `
+const buildRecentToolResultLine = (
+ result: NonNullable[number],
+ index: number
+): string => {
+ const diagnosticText = result.diagnostic
+ ? `；diagnostic=${result.diagnostic.kind}${result.diagnostic.missingArgs?.length ? `；missingArgs=[${result.diagnostic.missingArgs.join(', ')}]` : ''}`
+ : ''
+ return `- 第${index + 1}项：工具 ${result.toolName} ${result.ok ? '执行成功' : '执行失败'}（code=${result.code}）；摘要：${result.summary}${diagnosticText}`
+}
+
+const buildMemorySnapshotText = (state: HumanState): string =>
+ [
+ '下面是你之前沉淀下来的记忆。这些内容代表当前已经确认、可以直接复用或仍影响推进的信息。',
+ '',
+ '已确认的事实：',
+ renderHumanFactLines(state, 'brain_prompt'),
+ '',
+ '支撑这些事实的关键证据：',
+ renderHumanEvidenceLines(state, 'brain_prompt'),
+ '',
+ '仍未解决的问题：',
+ renderHumanOpenQuestionLines(state, 'brain_prompt')
+ ].join('\n')
+
+const buildSelectedContextPromptText = (ctx: AiRunContext): string =>
+ [
+ '下面是当前用户明确给出的参考资料上下文。后续判断、检索和文件定位都必须先对齐这段信息。',
+ '',
+ ctx.selectedContextText
+ ].join('\n')
+
+const buildSkillContextText = (state: HumanState): string => {
+ const learnedSkillIds = state.brainMemory.outside.learnedSkillIds
+ const learnedSkillDefinitions = learnedSkillIds.map((skillId) => getSkillDefinition(skillId))
+ const learnedToolNames = Array.from(
+ new Set(learnedSkillDefinitions.flatMap((definition) => definition.toolNames))
+ )
+ const learnedToolSpecLines =
+ learnedToolNames.length > 0
+ ? learnedToolNames
+ .map((toolName) => getToolPromptSpec(toolName))
+ .filter((spec): spec is ToolPromptSpec => Boolean(spec))
+ .map(renderLearnedToolSpecLine)
+ : ['none']
+
+ const skillCatalogLines =
+ state.brainMemory.outside.skillCatalog.length > 0
+ ? state.brainMemory.outside.skillCatalog.map(
+ (item) =>
+ `- ${item.skillId}：${item.summary}；可提供工具=[${item.toolNames.join(', ')}]；适用场景=${item.whenToUse}`
+ )
+ : ['none']
+
+ const learnedSkillIdLines =
+ learnedSkillIds.length > 0 ? learnedSkillIds.map((skillId) => `- ${skillId}`) : ['none']
+
+ const learnedSkillDetailLines =
+ learnedSkillDefinitions.length > 0
+ ? learnedSkillDefinitions.map((definition) => `- ${definition.skillId}：${definition.detail}`)
+ : ['none']
+
+ return [
+ '下面是当前可用的技能信息。技能目录摘要只用于判断要不要学习；只有已学习 skill 的详细说明和工具要点，才代表你当前可以直接依赖的能力。',
+ '',
+ '当前可用技能目录摘要：',
+ formatPlainList(skillCatalogLines),
+ '',
+ '已经学习的 skill id：',
+ formatPlainList(learnedSkillIdLines),
+ '',
+ '已学习技能的详细说明：',
+ formatPlainList(learnedSkillDetailLines),
+ '',
+ '已学习技能对应的工具使用要点：',
+ formatPlainList(learnedToolSpecLines)
+ ].join('\n')
+}
+
+const buildRecentToolResultsText = (state: HumanState): string =>
+ [
+ '下面是最近一轮工具调用刚带回来的新信息。请把这些结果和已有记忆一起判断，不要重复做同样的动作。',
+ '',
+ renderLineList(
+ (state.lastParallelCallToolResults || []).map((result, index) =>
+ buildRecentToolResultLine(result, index)
+ ),
+ {
+ fallback: 'none',
+ style: 'plain'
+ }
+ )
+ ].join('\n')
+
+const buildRecentDecisionHistoryText = (state: HumanState): string =>
+ [
+ '下面是最近几轮已经做过的正式判断摘要，只用于帮助你理解时间顺序并避免重复决策。',
+ '',
+ renderLineList(
+ state.brainMemory.outside.brainDecisions.map((record, index) => {
+ const ordinal = index + 1
+ const action = record.nextAction.action
+ const nextActionPayload =
+ action === 'learning'
+ ? `wantLearnSkillIds=[${record.nextAction.wantLearnSkillIds.join(',')}]`
+ : action === 'hand'
+ ? `parallelCallToolParam=${JSON.stringify(record.nextAction.parallelCallToolParam)}`
+ : 'final_delivery=true'
+
+ return `- 第${ordinal}轮（createdAt=${record.createdAt}）：决定“${record.decision.summary}”；原因：${record.decision.reason}；预期结果：${record.decision.expectedOutcome}；nextAction.action=${action}；nextAction数据：${nextActionPayload}`
+ }),
+ {
+ fallback: 'none',
+ style: 'plain'
+ }
+ )
+ ].join('\n')
+
+const buildWatchHintText = (state: HumanState): string =>
+ [
+ '如果这里是 none，表示当前没有额外的收敛提醒；否则应优先考虑结束任务或纠偏。',
+ '',
+ state.watchHint || 'none'
+ ].join('\n')
+
+export const buildBrainSystemPrompt = (): string =>
+ `
你现在扮演一个负责分析情况、整理记忆、做出下一步判断的大脑角色。
@@ -206,8 +336,10 @@ export const buildHumanBrainPrompt = (input: HumanBrainPromptInput) => {
-`.trim(),
- user: `
+`.trim()
+
+export const buildBrainUserPrompt = (input: HumanBrainPromptInput): string =>
+ `
${input.userInput}
@@ -238,5 +370,22 @@ ${input.watchHintText}
`.trim()
+
+export const buildBrainPromptContext = (input: { state: HumanState; ctx: AiRunContext }) => {
+ return buildHumanBrainPrompt({
+ userInput: input.state.task.userInput,
+ memorySnapshotText: buildMemorySnapshotText(input.state),
+ selectedContextText: buildSelectedContextPromptText(input.ctx),
+ skillContextText: buildSkillContextText(input.state),
+ recentToolResultsText: buildRecentToolResultsText(input.state),
+ recentDecisionHistoryText: buildRecentDecisionHistoryText(input.state),
+ watchHintText: buildWatchHintText(input.state)
+ })
+}
+
+export const buildHumanBrainPrompt = (input: HumanBrainPromptInput) => {
+ return {
+ system: buildBrainSystemPrompt(),
+ user: buildBrainUserPrompt(input)
}
}
diff --git a/src/main/services/ai/human/prompts/brainContextSections.ts b/src/main/services/ai/human/prompts/brainContextSections.ts
deleted file mode 100644
index a1d996f0..00000000
--- a/src/main/services/ai/human/prompts/brainContextSections.ts
+++ /dev/null
@@ -1,182 +0,0 @@
-import type { AiRunContext } from '../../types'
-import type { HumanState, ToolPromptSpec } from '../types'
-import { getSkillDefinition } from '../skills'
-import { getToolPromptSpec } from '../tools/registry'
-import { renderLineList } from '../../utils/render'
-import {
- renderHumanEvidenceLines,
- renderHumanFactLines,
- renderHumanOpenQuestionLines
-} from '../shared/memoryRenderers'
-
-const formatList = (items: string[]): string =>
- renderLineList(items, {
- fallback: 'none',
- style: 'plain'
- })
-
-type BrainPromptRenderView = {
- factLines: string
- evidenceLines: string
- openQuestionLines: string
- selectedContextText: string
- skillCatalogLines: string[]
- learnedSkillIdLines: string[]
- learnedSkillDetailLines: string[]
- learnedToolSpecLines: string[]
- recentToolResultLines: string
- recentDecisionHistoryLines: string
-}
-
-export type BrainPromptSections = {
- memorySnapshotText: string
- selectedContextText: string
- skillContextText: string
- recentToolResultsText: string
- recentDecisionHistoryText: string
-}
-
-const renderLearnedToolSpecLine = (spec: ToolPromptSpec): string => {
- const requiredArgs = spec.args
- .filter((arg) => arg.required)
- .map((arg) => `${arg.name}:${arg.type}`)
- .join(', ')
- const example = spec.examples?.[0]
- ? `示例目标=${spec.examples[0].goal}；示例参数键=[${Object.keys(spec.examples[0].args).join(', ') || 'none'}]`
- : '示例=none'
-
- return `- 工具 ${spec.name}：适用场景=${spec.whenToUse}；必填参数=[${requiredArgs || 'none'}]；${example}`
-}
-
-const buildRecentToolResultLine = (
- result: NonNullable[number],
- index: number
-): string => {
- const diagnosticText = result.diagnostic
- ? `；diagnostic=${result.diagnostic.kind}${result.diagnostic.missingArgs?.length ? `；missingArgs=[${result.diagnostic.missingArgs.join(', ')}]` : ''}`
- : ''
- return `- 第${index + 1}项：工具 ${result.toolName} ${result.ok ? '执行成功' : '执行失败'}（code=${result.code}）；摘要：${result.summary}${diagnosticText}`
-}
-
-const buildBrainPromptRenderView = (input: {
- state: HumanState
- ctx: AiRunContext
-}): BrainPromptRenderView => {
- const { state, ctx } = input
- const learnedSkillIds = state.brainMemory.outside.learnedSkillIds
- const learnedSkillDefinitions = learnedSkillIds.map((skillId) => getSkillDefinition(skillId))
- const learnedToolNames = Array.from(
- new Set(learnedSkillDefinitions.flatMap((definition) => definition.toolNames))
- )
- const learnedToolSpecLines =
- learnedToolNames.length > 0
- ? learnedToolNames
- .map((toolName) => getToolPromptSpec(toolName))
- .filter((spec): spec is ToolPromptSpec => Boolean(spec))
- .map(renderLearnedToolSpecLine)
- : ['none']
-
- const recentToolResultLines = renderLineList(
- (state.lastParallelCallToolResults || []).map((result, index) =>
- buildRecentToolResultLine(result, index)
- ),
- {
- fallback: 'none',
- style: 'plain'
- }
- )
-
- const recentDecisionHistoryLines = renderLineList(
- state.brainMemory.outside.brainDecisions.map((record, index) => {
- const ordinal = index + 1
- const action = record.nextAction.action
- const nextActionPayload =
- action === 'learning'
- ? `wantLearnSkillIds=[${record.nextAction.wantLearnSkillIds.join(',')}]`
- : action === 'hand'
- ? `parallelCallToolParam=${JSON.stringify(record.nextAction.parallelCallToolParam)}`
- : 'final_delivery=true'
-
- return `- 第${ordinal}轮（createdAt=${record.createdAt}）：决定“${record.decision.summary}”；原因：${record.decision.reason}；预期结果：${record.decision.expectedOutcome}；nextAction.action=${action}；nextAction数据：${nextActionPayload}`
- }),
- {
- fallback: 'none',
- style: 'plain'
- }
- )
-
- return {
- factLines: renderHumanFactLines(state, 'brain_prompt'),
- evidenceLines: renderHumanEvidenceLines(state, 'brain_prompt'),
- openQuestionLines: renderHumanOpenQuestionLines(state, 'brain_prompt'),
- selectedContextText: ctx.selectedContextText,
- skillCatalogLines:
- state.brainMemory.outside.skillCatalog.length > 0
- ? state.brainMemory.outside.skillCatalog.map(
- (item) =>
- `- ${item.skillId}：${item.summary}；可提供工具=[${item.toolNames.join(', ')}]；适用场景=${item.whenToUse}`
- )
- : ['none'],
- learnedSkillIdLines:
- learnedSkillIds.length > 0 ? learnedSkillIds.map((skillId) => `- ${skillId}`) : ['none'],
- learnedSkillDetailLines:
- learnedSkillDefinitions.length > 0
- ? learnedSkillDefinitions.map((definition) => `- ${definition.skillId}：${definition.detail}`)
- : ['none'],
- learnedToolSpecLines,
- recentToolResultLines,
- recentDecisionHistoryLines
- }
-}
-
-export const buildBrainPromptSections = (input: {
- state: HumanState
- ctx: AiRunContext
-}): BrainPromptSections => {
- const view = buildBrainPromptRenderView(input)
-
- return {
- memorySnapshotText: [
- '下面是你之前沉淀下来的记忆。这些内容代表当前已经确认、可以直接复用或仍影响推进的信息。',
- '',
- '已确认的事实：',
- view.factLines,
- '',
- '支撑这些事实的关键证据：',
- view.evidenceLines,
- '',
- '仍未解决的问题：',
- view.openQuestionLines
- ].join('\n'),
- selectedContextText: [
- '下面是当前用户明确给出的参考资料上下文。后续判断、检索和文件定位都必须先对齐这段信息。',
- '',
- view.selectedContextText
- ].join('\n'),
- skillContextText: [
- '下面是当前可用的技能信息。技能目录摘要只用于判断要不要学习；只有已学习 skill 的详细说明和工具要点，才代表你当前可以直接依赖的能力。',
- '',
- '当前可用技能目录摘要：',
- formatList(view.skillCatalogLines),
- '',
- '已经学习的 skill id：',
- formatList(view.learnedSkillIdLines),
- '',
- '已学习技能的详细说明：',
- formatList(view.learnedSkillDetailLines),
- '',
- '已学习技能对应的工具使用要点：',
- formatList(view.learnedToolSpecLines)
- ].join('\n'),
- recentToolResultsText: [
- '下面是最近一轮工具调用刚带回来的新信息。请把这些结果和已有记忆一起判断，不要重复做同样的动作。',
- '',
- view.recentToolResultLines
- ].join('\n'),
- recentDecisionHistoryText: [
- '下面是最近几轮已经做过的正式判断摘要，只用于帮助你理解时间顺序并避免重复决策。',
- '',
- view.recentDecisionHistoryLines
- ].join('\n')
- }
-}
diff --git a/src/main/services/ai/human/prompts/mouth.ts b/src/main/services/ai/human/prompts/mouth.ts
index 06995227..7afdca6c 100644
--- a/src/main/services/ai/human/prompts/mouth.ts
+++ b/src/main/services/ai/human/prompts/mouth.ts
@@ -30,26 +30,8 @@ const buildFinalDecisionText = (state: HumanState): string =>
? `最终决定：“${state.lastBrainDecision.decision.summary}”；原因：${state.lastBrainDecision.decision.reason}；预期结果：${state.lastBrainDecision.decision.expectedOutcome}`
: 'none'
-export const buildMouthPromptContext = (input: {
- state: HumanState
- deliveryMode: HumanDeliveryMode
-}) => {
- return buildHumanMouthPrompt({
- deliveryMode: input.deliveryMode,
- userInput: input.state.task.userInput,
- finalDecisionText: buildFinalDecisionText(input.state),
- factsText: renderHumanFactLines(input.state, 'mouth_prompt'),
- evidencesText: renderHumanEvidenceLines(input.state, 'mouth_prompt'),
- openQuestionsText: renderHumanOpenQuestionLines(input.state, 'mouth_prompt'),
- recentToolResultsText: renderHumanRecentToolResultLines(input.state, 'prompt'),
- runtimeArtifactsText: renderHumanArtifactLines(input.state, 'prompt'),
- watchHintText: input.state.watchHint || 'none'
- })
-}
-
-export const buildHumanMouthPrompt = (input: HumanMouthPromptInput) => {
- return {
- system: `
+export const buildMouthSystemPrompt = (deliveryMode: HumanDeliveryMode): string =>
+ `
你现在扮演一个负责对外表达最终结果的人。
@@ -71,7 +53,7 @@ export const buildHumanMouthPrompt = (input: HumanMouthPromptInput) => {
-${buildDeliveryModePromptRules(input.deliveryMode)}
+${buildDeliveryModePromptRules(deliveryMode)}
@@ -97,11 +79,13 @@ ${buildDeliveryModePromptRules(input.deliveryMode)}
-${buildDeliveryModePromptExample(input.deliveryMode)}
+${buildDeliveryModePromptExample(deliveryMode)}
-`.trim(),
- user: `
+`.trim()
+
+export const buildMouthUserPrompt = (input: HumanMouthPromptInput): string =>
+ `
${input.deliveryMode}
@@ -140,5 +124,27 @@ ${input.watchHintText}
`.trim()
+
+export const buildMouthPromptContext = (input: {
+ state: HumanState
+ deliveryMode: HumanDeliveryMode
+}) => {
+ return buildHumanMouthPrompt({
+ deliveryMode: input.deliveryMode,
+ userInput: input.state.task.userInput,
+ finalDecisionText: buildFinalDecisionText(input.state),
+ factsText: renderHumanFactLines(input.state, 'mouth_prompt'),
+ evidencesText: renderHumanEvidenceLines(input.state, 'mouth_prompt'),
+ openQuestionsText: renderHumanOpenQuestionLines(input.state, 'mouth_prompt'),
+ recentToolResultsText: renderHumanRecentToolResultLines(input.state, 'prompt'),
+ runtimeArtifactsText: renderHumanArtifactLines(input.state, 'prompt'),
+ watchHintText: input.state.watchHint || 'none'
+ })
+}
+
+export const buildHumanMouthPrompt = (input: HumanMouthPromptInput) => {
+ return {
+ system: buildMouthSystemPrompt(input.deliveryMode),
+ user: buildMouthUserPrompt(input)
}
}