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Add Flakestorm V2 PRD Plan and enhance v2 research agent to utilize Ollama for LLM responses. Updated README and requirements for dependencies. Implemented LLM API key support and chaos features in the agent.

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Francisco M Humarang Jr. 2026-03-07 00:31:26 +08:00
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examples/v2_research_agent/README.md
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@ -5,8 +5,8 @@ A **working** HTTP agent and v2.0 config that demonstrates all three V2 pillars:
## Prerequisites
- Python 3.10+
- Ollama running (for mutation generation): `ollama run gemma3:1b` or any model
- Optional: `pip install fastapi uvicorn` (agent server)
- **Ollama** running with a model (e.g. `ollama pull gemma3:1b` then `ollama run gemma3:1b`). The agent calls Ollama to generate real LLM responses; Flakestorm uses the same Ollama for mutation generation.
- Dependencies: `pip install -r requirements.txt` (fastapi, uvicorn, pydantic, httpx)
## 1. Start the agent
@ -73,4 +73,4 @@ flakestorm ci -c examples/v2_research_agent/flakestorm.yaml --min-score 0.5
- `replays.sessions` (file reference)
- `scoring` (weights)
The agent is stateless except for a call counter; `/reset` clears it so contract cells stay isolated.
The agent calls **Ollama** (same model as in `flakestorm.yaml`: `gemma3:1b` by default). Set `OLLAMA_BASE_URL` or `OLLAMA_MODEL` if your Ollama runs elsewhere or uses a different model. The agent is stateless except for a call counter; `/reset` clears it so contract cells stay isolated.