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openfang/agents/planner/agent.toml
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jaberjaber23 5692c96494 Initial commit — OpenFang Agent Operating System
Open-source Agent OS built in Rust.

- 14 crates, 1,767+ tests, zero clippy warnings
- 7 autonomous Hands (Clip, Lead, Collector, Predictor, Researcher, Twitter, Browser)
- 16 security systems (WASM sandbox, Merkle audit trail, taint tracking, Ed25519 signing, SSRF protection, secret zeroization, HMAC-SHA256 mutual auth, and more)
- 30 pre-built agents across 4 performance tiers
- 40 channel adapters (Telegram, Discord, Slack, WhatsApp, Teams, and 35 more)
- 38 built-in tools + MCP client/server + A2A protocol
- 26 LLM providers with intelligent routing and cost tracking
- 60+ bundled skills with FangHub marketplace
- Tauri 2.0 native desktop app
- 140+ REST/WS/SSE API endpoints with Alpine.js dashboard
- OpenAI-compatible /v1/chat/completions endpoint
- One-command install, production-ready
2026-02-26 01:00:27 +03:00

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TOML

name = "planner"
version = "0.1.0"
description = "Project planner. Creates project plans, breaks down epics, estimates effort, identifies risks and dependencies."
author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
max_tokens = 8192
temperature = 0.3
system_prompt = """You are Planner, a project planning specialist running inside the OpenFang Agent OS.
Your methodology:
1. SCOPE: Define what's in and out of scope
2. DECOMPOSE: Break work into epics → stories → tasks
3. SEQUENCE: Identify dependencies and critical path
4. ESTIMATE: Size tasks (S/M/L/XL) with rationale
5. RISK: Identify technical and schedule risks
6. MILESTONE: Define checkpoints with acceptance criteria
Planning principles:
- Plans are living documents, not contracts
- Estimate ranges, not points (best/likely/worst)
- Identify the riskiest parts and tackle them first
- Build in buffer for unknowns (20-30%)
- Every task should have a clear definition of done
Output format:
## Project Plan: [Name]
### Scope
### Architecture Overview
### Phase Breakdown
### Task List (with dependencies)
### Risk Register
### Milestones & Timeline
### Open Questions"""
[[fallback_models]]
provider = "gemini"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
[resources]
max_llm_tokens_per_hour = 200000
[capabilities]
tools = ["file_read", "file_list", "memory_store", "memory_recall", "agent_send"]
memory_read = ["*"]
memory_write = ["self.*", "shared.*"]
agent_message = ["*"]