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111 lines
4.6 KiB
Bash
111 lines
4.6 KiB
Bash
# =====================================================
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# EverOS — md-first Memory Extraction Framework
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# Configuration Template
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# =====================================================
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#
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# Setup:
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# 1. cp env.template .env
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# 2. Edit .env with your values
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# 3. .env is gitignored (never commit)
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#
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# Override priority (low → high):
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# src/everos/config/default.toml (shipped baseline)
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# ↓
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# <root>/everos.toml (user config; optional; root resolved
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# by EVEROS_ROOT env > ~/.everos)
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# ↓
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# EVEROS_<SECTION>__<KEY> process envs (this file sources these)
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# ↓
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# programmatic init args / CLI flags
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# =====================================================
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# ─── LLM (OpenAI-protocol compatible) ────────────────
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# Any OpenAI-API-compatible endpoint plugs in via base_url. Defaults
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# below target OpenRouter (one key, broad model catalogue); switch to
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# OpenAI, vLLM, Ollama (OpenAI bridge), or any other compatible endpoint
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# by changing model + base_url + api_key.
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EVEROS_LLM__MODEL=openai/gpt-4.1-mini
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EVEROS_LLM__API_KEY=
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EVEROS_LLM__BASE_URL=https://openrouter.ai/api/v1
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# ─── Multimodal LLM (independent from [llm]; vision/audio capable) ────
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# Separate model for parsing multimodal content items (image / pdf /
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# audio / ...); must support OpenAI image_url parts. Defaults target
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# Gemini via OpenRouter so the same key covers chat + multimodal.
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EVEROS_MULTIMODAL__MODEL=google/gemini-3-flash-preview
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EVEROS_MULTIMODAL__API_KEY=
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EVEROS_MULTIMODAL__BASE_URL=https://openrouter.ai/api/v1
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# Concurrency cap for parallel multimodal calls (default 4):
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# EVEROS_MULTIMODAL__MAX_CONCURRENCY=4
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#
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# file:// content-item support (read locally by EverOS, not everalgo).
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# Size cap per file:// asset (bytes; default 50 MiB):
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# EVEROS_MULTIMODAL__FILE_URI_MAX_BYTES=52428800
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# Allowlisted base dirs for file:// uris (JSON list). Empty/unset = allow any
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# readable file (local-first default); set to confine reads when the API is
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# exposed beyond loopback:
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# EVEROS_MULTIMODAL__FILE_URI_ALLOW_DIRS=["/srv/uploads"]
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# ─── Embedding (OpenAI-protocol /embeddings) ─────────
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# Any OpenAI-compatible embedding endpoint plugs in via base_url.
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# model / api_key / base_url have no shipped default — set them here
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# or in <root>/everos.toml before the embedding capability is used.
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EVEROS_EMBEDDING__MODEL=Qwen/Qwen3-Embedding-4B
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EVEROS_EMBEDDING__API_KEY=
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EVEROS_EMBEDDING__BASE_URL=https://api.deepinfra.com/v1/openai
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# Runtime knobs — uncomment to override defaults (30s / 3 / 10 / 5):
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# EVEROS_EMBEDDING__TIMEOUT_SECONDS=30
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# EVEROS_EMBEDDING__MAX_RETRIES=3
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# EVEROS_EMBEDDING__BATCH_SIZE=10
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# EVEROS_EMBEDDING__MAX_CONCURRENT=5
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# ─── Rerank (OpenAI-protocol /rerank) ────────────────
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# base_url should point at the rerank endpoint (e.g. .../v1/rerank).
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EVEROS_RERANK__MODEL=Qwen/Qwen3-Reranker-4B
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EVEROS_RERANK__API_KEY=
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EVEROS_RERANK__BASE_URL=https://api.deepinfra.com/v1/inference
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# Runtime knobs — uncomment to override defaults (30s / 3 / 10 / 5):
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# EVEROS_RERANK__TIMEOUT_SECONDS=30
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# EVEROS_RERANK__MAX_RETRIES=3
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# EVEROS_RERANK__BATCH_SIZE=10
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# EVEROS_RERANK__MAX_CONCURRENT=5
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# ─── Storage paths ───────────────────────────────────
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# memory-root holds md files + .index/ (LanceDB) + .system.db (SQLite) + ...
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# Override the default (~/.everos) with EVEROS_ROOT; also controls which
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# everos.toml is loaded. See config/default.toml for all other tunables.
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# EVEROS_ROOT=~/.everos
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# ─── HTTP API ────────────────────────────────────────
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# Bind for ``everos server start``. Default ``127.0.0.1`` keeps the
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# server on loopback only; EverOS ships no built-in authentication (see
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# SECURITY.md). Set HOST=0.0.0.0 only after you have your own gateway /
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# auth layer in front — the CLI logs a warning if you bind to 0.0.0.0.
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# EVEROS_API__HOST=127.0.0.1
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# EVEROS_API__PORT=8000
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# ─── Observability ───────────────────────────────────
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EVEROS_LOG_LEVEL=INFO # DEBUG | INFO | WARNING | ERROR
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EVEROS_LOG_FORMAT=json # json | text
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# EVEROS_OTEL_ENDPOINT=http://localhost:4317 # OTel exporter (optional)
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# ─── Runtime ─────────────────────────────────────────
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# TZ used by component.utils.datetime when input has no timezone
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TZ=UTC
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