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config.yaml
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# AI Agent Model Configuration
# Default/fallback model (used for CLI and initial startup)
agent_model:
# name: "gpt-5.1"
# base_url: null # null for default OpenAI endpoint
# api_key_env: "OPENAI_API_KEY"
name: "openai/gpt-oss-120b"
base_url: "https://inference-rcp.epfl.ch/v1"
api_key_env: "EPFL_API_KEY"
# Available models for UI dropdown
available_models:
- display_name: "gpt-4o-mini"
name: "gpt-4o-mini"
base_url: null
provider: "OpenAI"
api_key_env: "OPENAI_API_KEY"
- display_name: "gpt-4o"
name: "gpt-4o"
base_url: null
provider: "OpenAI"
api_key_env: "OPENAI_API_KEY"
- display_name: "gpt-5-mini"
name: "gpt-5-mini"
base_url: null
provider: "OpenAI"
api_key_env: "OPENAI_API_KEY"
- display_name: "gpt-5.1"
name: "gpt-5.1"
base_url: null
provider: "OpenAI"
api_key_env: "OPENAI_API_KEY"
- display_name: "openai/gpt-oss-120b [EPFL]"
name: "openai/gpt-oss-120b"
base_url: "https://inference-rcp.epfl.ch/v1"
provider: "EPFL"
api_key_env: "EPFL_API_KEY"
# Retrieval stack (embedder + reranker)
retrieval:
embedder:
backend: "remote" # "remote" or "local"
model_name: "Qwen/Qwen3-Embedding-8B"
base_url: "https://inference-rcp.epfl.ch/v1"
api_key_env: "EPFL_API_KEY_EMBEDDER"
timeout_s: 20
# local example:
# backend: "local"
# model_name: "BAAI/bge-m3"
reranker:
backend: "remote" # "remote" or "local"
model_name: "BAAI/bge-reranker-v2-m3"
base_url: "https://inference-rcp.epfl.ch/v1"
api_key_env: "EPFL_API_KEY_EMBEDDER"
timeout_s: 20
# local example:
# backend: "local"
# model_name: "BAAI/bge-reranker-v2-m3"