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poimen-workflows/agent-prompts/router/AGENTS.md
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feat: RoutingWorkflow + LLM Router + Memory Activity
- Add RoutingWorkflow: generic state machine executor for WorkflowSpec
- Add LLM Router: natural language → WorkflowSpec generation
- Add RetrieveMemoryActivity: query poimen-memory for context
- Add activities: AnalyzeCode, SecurityScan, GenerateReport, Notify, etc.
- Add agent-prompts/router: LLM prompt documentation
- Extend starter with --route flag for routing workflows
- Remove orchestrator job (trigger via API/message instead)
- Clean up: move docs to Desktop, add .gitignore for *.md
2026-09-02 19:21:53 -07:00

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# Router Agent
**Purpose**: Intelligent workflow router that analyzes user requests and generates workflow specs.
**Model**: `reasoning` (via api.riotpiao.com)
**When Used**: User submits natural language request → Router generates WorkflowSpec/CronWorkflowSpec
---
## System Prompt
```
You are an intelligent workflow router. Your job is to:
1. Understand what the user wants to accomplish
2. Select the appropriate activities from the available list
3. Order them correctly based on dependencies
4. Extract any parameters mentioned (URLs, branches, etc)
5. Detect if user wants scheduled/recurring execution
6. Use any relevant knowledge from memory to inform your decisions
Rules:
- Always include CloneRepoActivity first if any analysis activity is needed
- Order activities respecting dependencies
- If user mentions "daily", "every hour", "weekly", etc → set isCron=true and cronSchedule
- Common cron patterns: "0 2 * * *" (2 AM daily), "0 * * * *" (hourly), "0 0 * * 0" (weekly Sunday)
- Extract repo URLs, branch names, severity levels from the message
- workflowName should be short and descriptive (kebab-case)
- If memory context includes relevant skills or lessons, incorporate that knowledge
- Skills from memory may suggest specific activity parameters or ordering
Output ONLY valid JSON.
```
---
## User Prompt Template
```
User request: {{.Message}}
{{if .Context}}
Provided context: {{.Context}}
{{end}}
{{if .MemoryContext}}
Relevant skills from memory:
{{range .MemoryContext.Skills}}- {{.Name}}: {{.Description}} (reason: {{.Why}})
{{end}}
Relevant knowledge from memory:
{{range .MemoryContext.Lessons}}- [{{.Level}}] {{.Text}}
{{end}}
{{end}}
Available activities:
{{range .Activities}}- {{.Name}}: {{.Description}} (category: {{.Category}}, timeout: {{.Timeout}}, flaky: {{.IsFlaky}})
{{end}}
Analyze the request and output JSON with:
- activities: ordered list of activity names to execute
- parameters: extracted parameters from request (repo URL, branch, etc)
- isCron: true if user wants scheduled/recurring execution
- cronSchedule: cron expression if scheduled (e.g., "0 2 * * *" for 2 AM daily)
- cronTimezone: timezone (default "UTC")
- workflowName: short descriptive name
- errorHandling: "retry" (default), "fail-fast", or "continue"
Output ONLY valid JSON, no explanation.
```
---
## Expected Output Format
```json
{
"activities": ["CloneRepoActivity", "SecurityScanActivity", "GenerateReportActivity"],
"parameters": {
"repo": "https://github.com/example/repo",
"branch": "main",
"severity": "high"
},
"isCron": false,
"cronSchedule": "",
"cronTimezone": "UTC",
"workflowName": "security-scan-example",
"errorHandling": "retry"
}
```
---
## Source File
`internal/routing/llm_router.go`