Agent-Q3 / README.md
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consolidate: unified Agent Q3 README β€” HQ + Evo
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---
language:
- en
license: apache-2.0
tags:
- agent
- multi-agent
- langgraph
- gguf
- lora
- qwen
- prediction-markets
- mad-gambit
- solidity
- tandem-core
- agent-q3
- agent-q3-hq
- agent-q3-evo
pipeline_tag: text-generation
---
# Agent Q3
> **MAD Gambit** β€” Multi-agent intelligence layer
> Contains both **Agent Q3 [HQ]** (production orchestration) and **Agent Q3 [Evo]** (self-improving research pipeline)
---
## Variants
| Variant | Role | Key Tech |
|---------|------|----------|
| **Agent Q3 [HQ]** | Production orchestration | Tandem Core Β· ComputeRouter Β· LangGraph Β· MCP Β· Solidity audit |
| **Agent Q3 [Evo]** | Self-improving research | LoRA fine-tuning Β· arXiv ingestion Β· ChromaDB Β· Unsloth Β· benchmarks |
---
## File Structure
```
Agent-Q3/
β”œβ”€β”€ README.md
β”‚
β”œβ”€β”€ hq/ ← Agent Q3 [HQ] β€” Production
β”‚ β”œβ”€β”€ Dockerfile
β”‚ β”œβ”€β”€ docker-compose.yml
β”‚ β”œβ”€β”€ requirements.txt
β”‚ β”œβ”€β”€ .env.example
β”‚ β”œβ”€β”€ orchestrator.py ← FastAPI + ComputeRouter
β”‚ β”œβ”€β”€ compute_router.py ← Multi-backend weighted routing
β”‚ β”œβ”€β”€ tandem_core.py ← Gemma4 Reasoner + Qwen3.5 Coder chain
β”‚ β”œβ”€β”€ langgraph_graph.py ← StateGraph agent orchestration
β”‚ β”œβ”€β”€ mcp_config.json ← 14 MCP server connectors
β”‚ β”œβ”€β”€ litellm_config.yaml ← LiteLLM routing config
β”‚ └── metrics.py ← Prometheus /metrics endpoint
β”‚
β”œβ”€β”€ evo/ ← Agent Q3 [Evo] β€” Research
β”‚ β”œβ”€β”€ Dockerfile
β”‚ β”œβ”€β”€ requirements.txt
β”‚ β”œβ”€β”€ .env.example
β”‚ β”œβ”€β”€ training_pipeline.py ← Unsloth LoRA fine-tuning
β”‚ β”œβ”€β”€ arxiv_ingestor.py ← arXiv fetch β†’ chunk β†’ embed
β”‚ β”œβ”€β”€ chromadb_store.py ← Vector store (nomic-embed-text 384-dim)
β”‚ β”œβ”€β”€ feedback_collector.py ← DPO/RLHF signal capture
β”‚ β”œβ”€β”€ benchmark_runner.py ← Domain QA evaluation
β”‚ β”œβ”€β”€ lora_pusher.py ← Push adapters to HF
β”‚ └── langgraph_graph.py ← StateGraph agent orchestration
β”‚
└── shared/ ← Shared utilities
β”œβ”€β”€ auth.py
β”œβ”€β”€ logger.py
└── config.py
```
---
## HQ β€” Quick Start
```bash
cd hq
cp .env.example .env
docker compose up --build
```
**Endpoints:**
- `POST /v1/chat` β€” auto-classify β†’ Reasoner or Coder
- `POST /v1/reason` β€” force Gemma4-E4B (planning, research, audit)
- `POST /v1/code` β€” force Qwen3.5-4B (code, debug, file ops)
- `POST /v1/tandem` β€” Gemma4 reasons β†’ Qwen3.5 implements
- `GET /health` β€” backend health + loaded models
- `GET /metrics` β€” Prometheus metrics
## Evo β€” Quick Start
```bash
cd evo
cp .env.example .env
pip install -r requirements.txt
python training_pipeline.py
```
---
## Linked HF Assets
| Type | Label | Link |
|------|-------|------|
| Model | Agent Q3 (unified) | [madDegen/agent-q3-core](https://hf.co/madDegen/agent-q3-core) |
| Dataset | Agent Q3 (unified) | [madDegen/agent-q3](https://hf.co/datasets/madDegen/agent-q3) |
| Space | Agent Q3 (unified) | [madDegen/agent-q3-space](https://hf.co/spaces/madDegen/agent-q3-space) |
---
## License
Apache 2.0