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45 lines
2.1 KiB
Markdown
45 lines
2.1 KiB
Markdown
In that case, here's an updated response schema that takes into account the entities being sources of knowledge and the user sending instructions and category with the LLM call:
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```json
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{
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"type": "object",
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"properties": {
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"knowledge_sources": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"id": {"type": "string"},
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"type": {"type": "string", "enum": ["Document", "Page", "TextSnippet"]},
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"title": {"type": "string"},
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"description": {"type": "string"},
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"relationships": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"type": {"type": "string", "enum": ["RelatedTo", "RelevantTo", "SimilarTo"]},
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"target": {"type": "string", "description": "ID of the related knowledge source"}
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},
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"required": ["type", "target"]
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}
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}
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},
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"required": ["id", "type", "title", "description", "relationships"]
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}
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},
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"category": {"type": "string"},
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"instructions": {"type": "string"}
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},
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"required": ["knowledge_sources", "category", "instructions"],
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"additionalProperties": false
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}
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```
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In this schema, the `knowledge_sources` array contains objects that represent individual sources of knowledge, with properties like `id`, `type`, `title`, `description`, and `relationships`. The `relationships` array contains objects that represent relationships between knowledge sources, with properties like `type` and `target`.
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The `category` and `instructions` fields are also included as required properties, which will be populated with the user's input.
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Note that I've used enums to restrict the values of the `type` fields in the `knowledge_sources` and `relationships` arrays. This ensures that the LLM can only return specific types of knowledge sources and relationships.
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Also, as per your requirement, all fields are required, and `additionalProperties` is set to `false` to prevent the LLM from returning any additional fields not specified in the schema.
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