Fans out queries to multiple independent free LLMs from different providers and returns their answers side by side, enabling sanity-checking of decisions or getting multiple perspectives during coding sessions.
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process.env. You'll be asked to provide them before it can run.CONSULT_SERVER_URLCONSULT_ENV_FILECONSULT_CEREBRAS_MODEL— The roster — edit DEFAULT_ROSTER / FULL_ROSTER in consult/core.py. Each model is also overridable by env var (e.g. ).CONSULT_GLM_MODELCONSULT_GROQ_MODELCONSULT_GEMINI_MODELCONSULT_MISTRAL_MODELCONSULT_LLAMA_MODELCONSULT_HOST— Where it listens — / CONSULT_PORT (defaults 0.0.0.0:8000).CONSULT_PORT— Where it listens — CONSULT_HOST / (defaults 0.0.0.0:8000).[](https://m8ven.ai/mcp/xenarathon-salyut-6pmolr)