mirror of
https://github.com/trustgraph-ai/trustgraph.git
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77 lines
2.4 KiB
YAML
77 lines
2.4 KiB
YAML
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type: object
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description: |
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Flow service request for managing flow instances and blueprints.
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Operations: start-flow, stop-flow, list-flows, get-flow,
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list-blueprints, get-blueprint, put-blueprint, delete-blueprint
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required:
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- operation
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properties:
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operation:
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type: string
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enum:
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- start-flow
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- stop-flow
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- list-flows
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- get-flow
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- list-blueprints
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- get-blueprint
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- put-blueprint
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- delete-blueprint
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description: |
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Flow operation:
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- `start-flow`: Start a new flow instance from a blueprint
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- `stop-flow`: Stop a running flow instance
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- `list-flows`: List all running flow instances
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- `get-flow`: Get details of a running flow
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- `list-blueprints`: List available flow blueprints
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- `get-blueprint`: Get blueprint definition
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- `put-blueprint`: Create/update blueprint definition
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- `delete-blueprint`: Delete blueprint definition
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flow-id:
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type: string
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description: Flow instance ID (required for start-flow, stop-flow, get-flow)
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example: my-flow
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blueprint-name:
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type: string
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description: Flow blueprint name (required for start-flow, get-blueprint, put-blueprint, delete-blueprint)
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example: document-rag
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blueprint-definition:
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type: object
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description: Flow blueprint definition (required for put-blueprint)
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additionalProperties: true
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example:
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description: Custom RAG pipeline
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parameters:
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model:
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type: llm-model
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description: LLM model for processing
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order: 1
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class:
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text-completion:{class}:
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request: non-persistent://tg/request/text-completion:{class}
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response: non-persistent://tg/response/text-completion:{class}
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flow:
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chunker:{id}:
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input: persistent://tg/flow/chunk:{id}
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output: persistent://tg/flow/chunk-load:{id}
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interfaces:
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agent:
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request: non-persistent://tg/request/agent:{id}
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response: non-persistent://tg/response/agent:{id}
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description:
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type: string
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description: Flow description (optional for start-flow)
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example: My document processing flow
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parameters:
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type: object
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description: |
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Flow parameters (for start-flow).
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All values are stored as strings, regardless of input type.
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additionalProperties:
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type: string
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example:
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model: gpt-4
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temperature: "0.7"
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chunk-size: "1000"
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