wehub-resource-sync
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59 lines
2.0 KiB
TOML
59 lines
2.0 KiB
TOML
# Example user-level config — copy to ~/.everos/config.toml.
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#
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# cp config.example.toml ~/.everos/config.toml
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# $EDITOR ~/.everos/config.toml # fill in api_key / base_url
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#
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# Override priority (low → high):
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#
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# src/everos/config/default.toml
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# < ~/.everos/config.toml (THIS FILE)
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# < .env in the working directory
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# < EVEROS_<SECTION>__<KEY> process envs
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# < programmatic init args
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#
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# The path is configurable: set EVEROS_CONFIG_FILE=/path/to/your.toml to
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# point at any location. Missing file = silently skipped (no error).
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#
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# Comment out anything you do not need — only the fields you set here
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# override the shipped defaults; everything else falls back to
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# src/everos/config/default.toml.
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# ── LLM ───────────────────────────────────────────────
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# OpenAI-protocol chat-completions endpoint used by the algo extractors.
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[llm]
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model = "gpt-4.1-mini"
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api_key = "sk-..."
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base_url = "https://api.openai.com/v1"
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# ── Embedding ─────────────────────────────────────────
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[embedding]
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model = "Qwen/Qwen3-Embedding-4B"
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api_key = "..."
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base_url = "https://api.deepinfra.com/v1/openai"
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# Runtime knobs (defaults shown):
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timeout_seconds = 30.0
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max_retries = 3
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batch_size = 10
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max_concurrent = 5
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# ── Rerank ────────────────────────────────────────────
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[rerank]
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model = "Qwen/Qwen3-Reranker-4B"
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api_key = "..."
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base_url = "https://api.deepinfra.com/v1/inference"
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timeout_seconds = 30.0
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max_retries = 3
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batch_size = 10
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max_concurrent = 5
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# ── Other tunables you may want to override here ──────
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# [memory]
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# root = "~/.everos"
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# timezone = "Asia/Shanghai"
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#
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# [sqlite]
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# busy_timeout_ms = 10000
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#
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# [lancedb]
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# read_consistency_seconds = 5.0
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