32 lines
1.3 KiB
Plaintext
32 lines
1.3 KiB
Plaintext
# MiroFish secrets for the agent.profikid.nl deployment.
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#
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# Rename to `secrets.env` and fill in. Filename is `secrets.env` (not `.env`)
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# on purpose — Hermes' safety guard blocks read/write of any file literally
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# named `.env`.
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#
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# DO NOT COMMIT a populated secrets.env to git. This template IS in git
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# (secrets.env.example); the real one is gitignored.
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#
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# LLM provider: MiniMax M3 via the OpenAI-compat endpoint
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# (verified working: https://api.minimax.io/v1 returns chat completions for model "MiniMax-M3")
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LLM_API_KEY=sk-cp-REPLACE-ME
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LLM_BASE_URL=https://api.minimax.io/v1
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LLM_MODEL_NAME=MiniMax-M3
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# Memory graph backend: Graphiti + FalkorDB (replaces Zep)
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# Host/port are set in docker-compose.yml; the keys here are auth (FalkorDB
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# ships without auth, so we leave username/password empty for on-prem).
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FALKORDB_HOST=falkordb
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FALKORDB_PORT=6379
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FALKORDB_USERNAME=
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FALKORDB_PASSWORD=
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# Embedding model. Two options:
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# 1) Local sentence-transformers, pre-downloaded in the image (set this):
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# sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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# 2) Lightweight deterministic hash embedder (used by the e2e test image,
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# useful for CI / quick smoke tests):
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# hash
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EMBEDDING_MODEL=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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