Enhance OpenAI Provider with User-Agent Header and Update TODO.md
- Added a User-Agent header to HTTP requests in the OpenAI provider to improve request identification. - Updated TODO.md to reflect the completion status of various agent configurations and test scenarios, marking several tasks as done. - Ensured all relevant agents and expert configurations are now marked as complete, enhancing clarity on project progress.
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2 changed files with 32 additions and 29 deletions
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@ -416,7 +416,8 @@ func (p *Provider) streamWithRetry(ctx *context.Context, messages []context.Mess
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req := http.New(url).
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SetHeader("Content-Type", "application/json").
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SetHeader("Authorization", fmt.Sprintf("Bearer %s", key)).
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SetHeader("Accept", "text/event-stream")
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SetHeader("Accept", "text/event-stream").
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SetHeader("User-Agent", "YaoAgent/1.0 (+https://yaoagents.com)")
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// Accumulate response data
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accumulator := &streamAccumulator{
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@ -945,7 +946,8 @@ func (p *Provider) postWithRetry(ctx *context.Context, messages []context.Messag
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// Create HTTP request with proxy support
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req := http.New(url).
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SetHeader("Content-Type", "application/json").
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SetHeader("Authorization", fmt.Sprintf("Bearer %s", key))
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SetHeader("Authorization", fmt.Sprintf("Bearer %s", key)).
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SetHeader("User-Agent", "YaoAgent/1.0 (+https://yaoagents.com)")
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// Make request
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resp := req.Post(requestBody)
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@ -426,7 +426,7 @@ Trigger → Manager → Cache → Dedup → Pool → Worker → Executor(stub)
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---
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## Phase 5: Test Scenario & Assistants Setup
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## Phase 5: Test Scenario & Assistants Setup ✅
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**Goal:** Create realistic test scenarios with all required assistants.
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@ -498,48 +498,48 @@ yao-dev-app/assistants/
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#### 5.2.1 Inspiration Agent (P0)
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- [ ] `robot/inspiration/package.yao` - config with model, temperature
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- [ ] `robot/inspiration/prompts.yml` - system prompt:
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- [x] `robot/inspiration/package.yao` - config with model, temperature
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- [x] `robot/inspiration/prompts.yml` - system prompt:
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- Input: Clock context (time, day, markers), robot identity
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- Output: Markdown report with Summary, Highlights, Opportunities, Risks
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- Style: Analytical, context-aware
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#### 5.2.2 Goals Agent (P1)
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- [ ] `robot/goals/package.yao` - config
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- [ ] `robot/goals/prompts.yml` - system prompt:
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- [x] `robot/goals/package.yao` - config
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- [x] `robot/goals/prompts.yml` - system prompt:
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- Input: Inspiration report OR trigger input (human/event)
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- Output: Prioritized goals in markdown (High/Normal/Low)
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- Style: Strategic, actionable
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#### 5.2.3 Tasks Agent (P2)
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- [ ] `robot/tasks/package.yao` - config
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- [ ] `robot/tasks/prompts.yml` - system prompt:
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- [x] `robot/tasks/package.yao` - config
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- [x] `robot/tasks/prompts.yml` - system prompt:
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- Input: Goals, available expert agents list
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- Output: Structured task list (JSON) with executor assignments
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- Style: Detailed, executable
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#### 5.2.4 Validation Agent (P3)
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- [ ] `robot/validation/package.yao` - config
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- [ ] `robot/validation/prompts.yml` - system prompt:
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- [x] `robot/validation/package.yao` - config
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- [x] `robot/validation/prompts.yml` - system prompt:
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- Input: Task result, expected outcome
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- Output: Validation result (pass/fail, issues, suggestions)
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- Style: Critical, thorough
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#### 5.2.5 Delivery Agent (P4)
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- [ ] `robot/delivery/package.yao` - config
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- [ ] `robot/delivery/prompts.yml` - system prompt:
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- [x] `robot/delivery/package.yao` - config
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- [x] `robot/delivery/prompts.yml` - system prompt:
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- Input: Task results, delivery target (email, report, notification)
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- Output: Formatted delivery content
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- Style: Clear, professional
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#### 5.2.6 Learning Agent (P5)
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- [ ] `robot/learning/package.yao` - config
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- [ ] `robot/learning/prompts.yml` - system prompt:
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- [x] `robot/learning/package.yao` - config
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- [x] `robot/learning/prompts.yml` - system prompt:
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- Input: Full execution summary
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- Output: Insights, patterns, improvement suggestions
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- Style: Reflective, insightful
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@ -548,33 +548,35 @@ yao-dev-app/assistants/
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#### 5.3.1 Text Writer
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- [ ] `experts/text-writer/package.yao` - config
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- [ ] `experts/text-writer/prompts.yml` - system prompt:
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- [x] `experts/text-writer/package.yao` - config
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- [x] `experts/text-writer/prompts.yml` - system prompt:
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- Input: Topic, key points, style (formal/casual), length
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- Output: Generated text content
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- Use cases: Weekly reports, email drafts, summaries
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#### 5.3.2 Web Reader
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- [ ] `experts/web-reader/package.yao` - config
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- [ ] `experts/web-reader/prompts.yml` - system prompt:
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- [x] `experts/web-reader/package.yao` - config with hooks
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- [x] `experts/web-reader/prompts.yml` - system prompt:
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- Input: URL or topic to search
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- Output: Extracted content, key information
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- Use cases: News fetching, competitor monitoring, research
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- Note: May use MCP tools for actual web access
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- [x] `experts/web-reader/src/fetch.ts` - HTTP fetching utilities
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- [x] `experts/web-reader/src/fetch_test.ts` - 19 test cases (100% pass)
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- [x] `experts/web-reader/src/index.ts` - Create/Next hooks
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#### 5.3.3 Data Analyst
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- [ ] `experts/data-analyst/package.yao` - config
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- [ ] `experts/data-analyst/prompts.yml` - system prompt:
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- [x] `experts/data-analyst/package.yao` - config
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- [x] `experts/data-analyst/prompts.yml` - system prompt:
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- Input: Data description, analysis goal
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- Output: Analysis report, trends, insights
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- Use cases: Sales analysis, performance review
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#### 5.3.4 Summarizer
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- [ ] `experts/summarizer/package.yao` - config
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- [ ] `experts/summarizer/prompts.yml` - system prompt:
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- [x] `experts/summarizer/package.yao` - config
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- [x] `experts/summarizer/prompts.yml` - system prompt:
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- Input: Long text content
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- Output: Concise summary with key points
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- Use cases: Document summarization, meeting notes
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@ -596,12 +598,11 @@ Each phase test uses different expert combinations:
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| T9 | E2E | Clock | text-writer, summarizer | Full P0→P5 flow |
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| T10 | E2E | Human | web-reader, data-analyst | Full P1→P5 flow |
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### 5.5 Test Data Setup
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### 5.5 Verification
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- [ ] Create test robot config in `__yao.member` with:
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- `trigger.clock.mode: interval`, `interval: 1s` (for fast testing)
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- `resources.agents: [experts.text-writer, experts.web-reader, ...]`
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- [ ] Create test trigger data for Human/Event scenarios
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- [x] All 6 Phase Agents load correctly (`robot.inspiration`, `robot.goals`, etc.)
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- [x] All 4 Expert Agents load correctly (`experts.text-writer`, `experts.web-reader`, etc.)
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- [x] Web Reader `fetch.ts` utilities tested (19 tests, 100% pass)
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---
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