mirror of
https://github.com/agentscope-ai/ReMe.git
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70 lines
1.8 KiB
YAML
70 lines
1.8 KiB
YAML
service:
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backend: http
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# backend: mcp
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# Default dev config points vault_dir at ./.reme so `python -m reme4 start`
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# can be run from the repo root and exercise the full atomic-tool surface
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# against the seeded test data. Override the `vault_dir=` CLI arg.
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vault_dir: .reme
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daily_dir: daily
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digest_dir: digest
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resource_dir: resource
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jobs:
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# ════════════════════════════════════════════════════════════════════
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# UTILITY — service introspection
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# ════════════════════════════════════════════════════════════════════
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version:
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backend: base
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description: "return reme4 package version"
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parameters:
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type: object
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properties: {}
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steps:
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- backend: version_step
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components:
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tokenizer:
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default:
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backend: regex
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embedding_model:
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default:
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backend: ${EMBEDDING_BACKEND:-openai}
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api_key: ${EMBEDDING_API_KEY:-}
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base_url: ${EMBEDDING_BASE_URL:-https://api.openai.com/v1}
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model_name: ${EMBEDDING_MODEL_NAME:-text-embedding-v4}
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dimensions: 1024
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file_graph:
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default:
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backend: local
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file_parser:
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linked:
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backend: linked
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supported_extensions:
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- md
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chunked:
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backend: chunked
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supported_extensions:
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- txt
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- html
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- json
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- yaml
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- py
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default:
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backend: default
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keyword_index:
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default:
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backend: bm25
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tokenizer: default
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file_store:
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default:
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backend: local
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store_name: local
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embedding_model: default
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keyword_index: default
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file_graph: default
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