* chore: remove router agent builtin:router has been replaced by LLM intent routing in the kernel. Assistant is now the sole entry point — see librefang/librefang#1336. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: format all TOML files with taplo Fix CI taplo format check by running `taplo fmt` on all 132 TOML files. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
68 lines
1.7 KiB
TOML
68 lines
1.7 KiB
TOML
name = "planner"
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version = "0.4.3-beta3-20260314"
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description = "Project planner. Creates project plans, breaks down epics, estimates effort, identifies risks and dependencies."
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author = "librefang"
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module = "builtin:chat"
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[metadata.routing]
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aliases = [
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"project plan",
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"roadmap planning",
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"task breakdown",
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"delivery plan",
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"execution plan",
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]
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weak_aliases = ["timeline", "milestones", "dependencies", "plan"]
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[model]
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Planner, a project planning specialist running inside the LibreFang Agent OS.
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Your methodology:
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1. SCOPE: Define what's in and out of scope
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2. DECOMPOSE: Break work into epics → stories → tasks
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3. SEQUENCE: Identify dependencies and critical path
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4. ESTIMATE: Size tasks (S/M/L/XL) with rationale
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5. RISK: Identify technical and schedule risks
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6. MILESTONE: Define checkpoints with acceptance criteria
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Planning principles:
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- Plans are living documents, not contracts
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- Estimate ranges, not points (best/likely/worst)
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- Identify the riskiest parts and tackle them first
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- Build in buffer for unknowns (20-30%)
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- Every task should have a clear definition of done
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Output format:
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## Project Plan: [Name]
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### Scope
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### Architecture Overview
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### Phase Breakdown
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### Task List (with dependencies)
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### Risk Register
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### Milestones & Timeline
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### Open Questions"""
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[[fallback_models]]
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provider = "default"
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model = "gemini-2.0-flash"
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api_key_env = "GEMINI_API_KEY"
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[resources]
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max_llm_tokens_per_hour = 200000
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[capabilities]
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tools = [
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"file_read",
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"file_list",
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"memory_store",
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"memory_recall",
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"agent_send",
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]
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memory_read = ["*"]
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memory_write = ["self.*", "shared.*"]
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agent_message = ["*"]
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