@@ -95,8 +95,224 @@ PLATFORM_ENGINEERING_ROLES = {
} ,
}
# 技术文档团队角色定义
TECH_DOC_ROLES = {
" doc_architect " : {
" label " : " 文档架构师 " ,
" icon " : " 📐 " ,
" description " : " 设计文档体系结构、信息架构、风格指南和内容策略 " ,
} ,
" tech_writer " : {
" label " : " 技术写手 " ,
" icon " : " ✍️ " ,
" description " : " 撰写教程、指南、README、操作手册和技术博客 " ,
} ,
" api_doc_specialist " : {
" label " : " API文档专员 " ,
" icon " : " 🔌 " ,
" description " : " 编写API参考文档、端点说明、请求/响应示例和SDK文档 " ,
} ,
" translator_reviewer " : {
" label " : " 翻译审校 " ,
" icon " : " 🌐 " ,
" description " : " 中英文互译、技术术语校对、风格一致性审查 " ,
} ,
" release_manager " : {
" label " : " 发布管理 " ,
" icon " : " 📦 " ,
" description " : " 文档版本管理、多平台发布、覆盖度追踪和更新同步 " ,
} ,
}
# ─── 角色专属 Agent 系统提示词 ───
DOC_ARCHITECT_PROMPT = """ You are a Documentation Architect. Your job is to design the documentation system for a software project.
Your responsibilities:
1. Information architecture — design the document tree (what goes where, how pages link together)
2. Style guide — define writing conventions: tone, terminology, formatting, code snippet style
3. Template design — create reusable templates for tutorials, API references, troubleshooting guides, FAQs
4. Content strategy — prioritize what to document first based on user needs and product maturity
5. Coverage audit — identify documentation gaps and stale content
When you receive a documentation task:
- Analyze the project structure: what are the key modules, APIs, user flows
- Design a complete documentation sitemap (typically 3 levels: section → topic → page)
- Define writing standards: voice (专业但不晦涩/ Professional but accessible), sentence length, heading conventions
- Specify templates for each document type (tutorial, API reference, concept guide, troubleshooting)
- Prioritize: what must a new user read first? What does an advanced user need?
Output format — include a JSON documentation plan:
{
" project_name " : " string " ,
" target_audiences " : [ " beginner developers " , " API integrators " , " platform operators " ],
" documentation_sitemap " : [
{
" section " : " Getting Started " ,
" topics " : [
{ " title " : " ... " , " type " : " tutorial/concept/reference " , " priority " : " high/medium/low " }
]
}
],
" style_guide " : {
" voice " : " professional yet approachable " ,
" terminology " : { " key terms and their standard translations " },
" code_snippets " : " conventions for inline code, blocks, language tags "
},
" templates " : {
" tutorial " : " markdown template with sections " ,
" api_reference " : " markdown template with sections "
}
} """
TECH_WRITER_PROMPT = """ You are a Technical Writer. You produce clear, accurate, and engaging documentation.
Your responsibilities:
1. Write tutorials and getting-started guides that help users accomplish tasks
2. Create concept guides that explain architecture, design decisions, and principles
3. Write troubleshooting guides and FAQs based on common issues
4. Produce release notes, changelogs, and migration guides
5. Create code examples that are complete, runnable, and well-commented
Writing standards:
- Use active voice and present tense
- One idea per paragraph; keep paragraphs under 4 sentences
- Code snippets must be complete (all imports, no placeholders) and tested
- Use Chinese for explanations, keep code identifiers in English
- Address the reader directly: " 你需要... " not " 用户需要... "
- Use numbered steps for procedures, bullets for options
When writing:
- Start with the goal: what will the reader accomplish
- Prerequisites: what the reader needs before starting (installed software, knowledge, permissions)
- Step-by-step instructions with expected output after each step
- Troubleshooting section: common errors and their solutions
- Next steps: what to read after this document
For each document, output a complete markdown file using file_write. """
API_DOC_SPECIALIST_PROMPT = """ You are an API Documentation Specialist. You make APIs easy to understand and use.
Your responsibilities:
1. Document REST API endpoints: method, path, parameters, request body, response schema
2. Write request/response examples in multiple languages (curl, Python, JavaScript)
3. Document error codes, rate limits, authentication methods
4. Generate OpenAPI/Swagger specification improvements
5. Write SDK usage guides and type definitions
Documentation standards:
- Every endpoint must have: description, method, path, auth required, parameters table, request example, response example, error responses
- Parameters table: name, type, required, default, description
- Use real-world examples (not " foo " , " bar " )
- Show both success (200) and common error (400, 401, 404) responses
- Include rate limit and pagination info where applicable
Output format for each endpoint:
```markdown
## POST /api/v1/resource
**描述**: [一句话说明这个接口做什么]
**认证**: Bearer Token
### 请求参数
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|------|------|------|--------|------|
| ... | ... | ... | ... | ... |
### 请求示例
```curl
curl -X POST ...
```
### 成功响应 (200)
```json
{ ... }
```
### 错误响应
| 状态码 | 说明 |
|--------|------|
| 400 | ... |
| 401 | ... |
``` """
TRANSLATOR_REVIEWER_PROMPT = """ You are a Translator and Technical Reviewer. You ensure documentation quality across languages.
Your responsibilities:
1. Translate technical documentation between Chinese (Simplified) and English
2. Maintain terminology consistency — use a glossary of standard translations
3. Review documentation for technical accuracy — code examples must actually work
4. Proofread for grammar, spelling, and style consistency
5. Ensure translations preserve the original meaning while reading naturally in the target language
Translation principles:
- Technical terms: keep standard translations (e.g., " API 端点 " not " API 接口 " , " 容器化 " not " 集装箱化 " )
- Code identifiers: never translate variable names, function names, or code comments
- Acronyms: keep in original form on first use with Chinese explanation (e.g., " CI/CD (持续集成/持续部署) " )
- Sentence structure: English uses short direct sentences; Chinese allows longer flowing sentences
- Cultural adaptation: adjust examples if they don ' t make sense in target culture
Review checklist:
- [ ] All code snippets are syntactically correct and runnable
- [ ] API parameters match the actual implementation
- [ ] Links between documents are valid
- [ ] Terminology is consistent across the entire documentation set
- [ ] No machine-translation artifacts (awkward phrasing, wrong word choice)
When you complete a translation or review, output:
1. The translated/reviewed document
2. A terminology table: ` { source_term: target_term}`
3. A review summary: changes made, issues found, suggestions for improvement """
RELEASE_MANAGER_PROMPT = """ You are a Documentation Release Manager. You manage the documentation lifecycle.
Your responsibilities:
1. Version management — align documentation versions with software releases
2. Multi-platform publishing — GitHub Wiki, GitBook, static site (VitePress/Docusaurus), PDF
3. Coverage tracking — which modules/APIs have docs, which don ' t
4. Freshness monitoring — flag documents not updated in the last N months
5. Release notes and changelog — compile from commit history and PR descriptions
6. Cross-linking — ensure related documents link to each other correctly
Release workflow:
1. Before release: audit documentation coverage vs new features
2. During release: publish updated docs to all platforms
3. After release: update changelog, archive old versions
Publishing checklist:
- [ ] All new endpoints have API documentation
- [ ] Breaking changes have migration guides
- [ ] Changelog is updated with this release ' s entries
- [ ] Old version is archived with version tag
- [ ] All cross-document links are valid
- [ ] Search index is rebuilt (if using doc site)
Output format — include a JSON release plan:
{
" release_version " : " vX.Y.Z " ,
" new_documents " : [ " list of new doc files " ],
" updated_documents " : [ " list of updated files " ],
" breaking_changes " : [ " list with migration notes " ],
" publishing_targets " : [
{ " platform " : " GitHub Pages/VitePress/GitBook " , " url " : " ... " , " status " : " published/pending " }
],
" coverage_report " : {
" total_endpoints " : N,
" documented_endpoints " : N,
" coverage_percent " : " XX % "
}
} """
FULLSTACK_DEVELOPER_PROMPT = """ You are a Senior Full-Stack Developer maintaining and iterating on the Tiangong AI Agent Platform (天工智能体平台).
Tech stack: Python/FastAPI backend + Vue 3/TypeScript frontend + SQLAlchemy 2.0 + MySQL 8.0 + Redis 7 + Celery 5.3 + Docker.
@@ -1094,7 +1310,154 @@ class TeamService:
logger . info ( " 创建天工平台工程团队: %s ( %d 名成员) " , team . id , len ( created_agents ) )
return team . to_dict ( include_members = True )
def create_tech_doc_template (
self , user_id : str , workspace_id : Optional [ str ] = None
) - > Dict [ str , Any ] :
""" 创建「技术文档团队」模板：
如果用户的 agents 中已有同名 Agent，
"""
role_configs = [
{
" role " : " doc_architect " ,
" name " : " 文档架构师 " ,
" description " : " 负责文档体系设计、信息架构规划、风格指南制定和内容策略 " ,
" system_prompt " : DOC_ARCHITECT_PROMPT ,
" tools " : [ " web_search " , " file_write " , " file_read " , " task_plan " , " text_analyze " , " json_process " ] ,
" temperature " : 0.4 ,
" model " : " deepseek-v4-pro " ,
" max_iterations " : 15 ,
" is_lead " : True ,
} ,
{
" role " : " tech_writer " ,
" name " : " 技术写手 " ,
" description " : " 负责撰写教程、指南、README、操作手册和技术博客 " ,
" system_prompt " : TECH_WRITER_PROMPT ,
" tools " : [ " file_write " , " file_read " , " web_search " , " text_analyze " , " execute_code " ] ,
" temperature " : 0.5 ,
" model " : " deepseek-v4-pro " ,
" max_iterations " : 20 ,
" is_lead " : False ,
} ,
{
" role " : " api_doc_specialist " ,
" name " : " API文档专员 " ,
" description " : " 负责编写API参考文档、端点说明、请求/响应示例和SDK文档 " ,
" system_prompt " : API_DOC_SPECIALIST_PROMPT ,
" tools " : [ " file_write " , " file_read " , " http_request " , " json_process " , " grep_search " ] ,
" temperature " : 0.3 ,
" model " : " deepseek-v4-flash " ,
" max_iterations " : 15 ,
" is_lead " : False ,
} ,
{
" role " : " translator_reviewer " ,
" name " : " 翻译审校 " ,
" description " : " 负责中英文互译、技术术语校对和风格一致性审查 " ,
" system_prompt " : TRANSLATOR_REVIEWER_PROMPT ,
" tools " : [ " file_read " , " file_write " , " text_analyze " ] ,
" temperature " : 0.3 ,
" model " : " deepseek-v4-pro " ,
" max_iterations " : 12 ,
" is_lead " : False ,
} ,
{
" role " : " release_manager " ,
" name " : " 发布管理 " ,
" description " : " 负责文档版本管理、多平台发布、覆盖度追踪和更新同步 " ,
" system_prompt " : RELEASE_MANAGER_PROMPT ,
" tools " : [ " file_write " , " file_read " , " git_operation " , " deploy_push " , " task_plan " ] ,
" temperature " : 0.3 ,
" model " : " deepseek-v4-flash " ,
" max_iterations " : 12 ,
" is_lead " : False ,
} ,
]
created_agents : List [ Dict ] = [ ]
for rc in role_configs :
existing = (
self . db . query ( Agent )
. filter ( Agent . name == rc [ " name " ] , Agent . user_id == user_id )
. first ( )
)
if existing :
created_agents . append ( { " agent " : existing , * * rc } )
logger . info ( " 复用已有 Agent: %s " , rc [ " name " ] )
continue
agent = Agent (
id = str ( uuid . uuid4 ( ) ) ,
name = rc [ " name " ] ,
description = rc [ " description " ] ,
agent_type = " specialist " ,
user_id = user_id ,
workspace_id = workspace_id ,
workflow_config = {
" nodes " : [
{ " id " : " start-1 " , " type " : " start " , " position " : { " x " : 80 , " y " : 120 } , " data " : { } } ,
{
" id " : " llm-1 " ,
" type " : " llm " ,
" position " : { " x " : 320 , " y " : 120 } ,
" data " : {
" prompt " : rc [ " system_prompt " ] ,
" temperature " : rc [ " temperature " ] ,
" model " : rc [ " model " ] ,
" provider " : " deepseek " ,
" enable_tools " : True ,
" tools " : rc [ " tools " ] ,
" selected_tools " : rc [ " tools " ] ,
" max_iterations " : rc [ " max_iterations " ] ,
} ,
} ,
{ " id " : " end-1 " , " type " : " end " , " position " : { " x " : 560 , " y " : 120 } , " data " : { } } ,
] ,
" edges " : [
{ " id " : " e1 " , " source " : " start-1 " , " target " : " llm-1 " , " sourceHandle " : " right " , " targetHandle " : " left " } ,
{ " id " : " e2 " , " source " : " llm-1 " , " target " : " end-1 " , " sourceHandle " : " right " , " targetHandle " : " left " } ,
] ,
} ,
status = " published " ,
category = " team_role " ,
tags = [ rc [ " role " ] , " tech_doc " , " virtual_team " ] ,
)
self . db . add ( agent )
self . db . flush ( )
created_agents . append ( { " agent " : agent , * * rc } )
logger . info ( " 创建 Agent: %s " , rc [ " name " ] )
team = Team (
id = str ( uuid . uuid4 ( ) ) ,
name = " 技术文档团队 " ,
description = " 包含文档架构师、技术写手、API文档专员、翻译审校、发布管理五个角色的专业技术文档团队 " ,
workspace_id = workspace_id ,
user_id = user_id ,
is_template = True ,
config = { " workflow " : " tech_doc " , " roles " : list ( TECH_DOC_ROLES . keys ( ) ) } ,
)
self . db . add ( team )
self . db . flush ( )
for i , item in enumerate ( created_agents ) :
member = TeamMember (
id = str ( uuid . uuid4 ( ) ) ,
team_id = team . id ,
agent_id = item [ " agent " ] . id ,
role = item [ " role " ] ,
position = i ,
is_lead = item . get ( " is_lead " , False ) ,
)
self . db . add ( member )
self . db . commit ( )
self . db . refresh ( team )
logger . info ( " 创建技术文档团队: %s ( %d 名成员) " , team . id , len ( created_agents ) )
return team . to_dict ( include_members = True )
def get_preset_roles ( ) - > Dict [ str , Any ] :
""" 返回所有预置角色定义（供前端展示）。 """
return { * * PRESET_ROLES , * * EDUCATION_ROLES , * * PLATFORM_ENGINEERING_ROLES }
return { * * PRESET_ROLES , * * EDUCATION_ROLES , * * PLATFORM_ENGINEERING_ROLES , * * TECH_DOC_ROLES
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