Upsert embeddings

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "veryfront__upsert_file_chunk_embeddings",
    "arguments": {
      "chunk_ids": [],
      "vectors": [],
      "model": {
        "name": "example",
        "provider": "example",
        "dimension": 0
      }
    }
  }
}

{
  "type": "object",
  "properties": {
    "project_reference": {
      "type": "string",
      "description": "Project identifier or slug that scopes the tool call."
    },
    "chunk_ids": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid",
        "description": "One chunk id item supplied to the tool."
      },
      "maxItems": 100,
      "description": "Chunk IDs to upsert embeddings for."
    },
    "vectors": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": "number",
          "description": "One item item supplied to the tool."
        },
        "maxItems": 4096,
        "description": "One vector item supplied to the tool."
      },
      "maxItems": 100,
      "description": "Embedding vectors aligned by index with `chunk_ids`."
    },
    "model": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string",
          "minLength": 1,
          "description": "Model name, for example `text-embedding-3-small`."
        },
        "provider": {
          "type": "string",
          "minLength": 1,
          "description": "Provider name, for example `openai`."
        },
        "dimension": {
          "type": "number",
          "description": "Embedding vector dimension: 768, 1024, 1536, 3072, or 4096. Every vector must have this length."
        }
      },
      "required": [
        "name",
        "provider",
        "dimension"
      ],
      "additionalProperties": false,
      "description": "Embedding model that produced these vectors. Not an agent chat model; model listings omit it."
    }
  },
  "required": [
    "chunk_ids",
    "vectors",
    "model"
  ],
  "additionalProperties": false,
  "description": "Arguments for the upsert_file_chunk_embeddings tool.",
  "$schema": "http://json-schema.org/draft-07/schema#"
}

{
  "type": "object",
  "properties": {
    "embeddings": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Embedding ID."
          },
          "model": {
            "type": "string",
            "description": "Embedding model name used to create the vector."
          },
          "status": {
            "type": "string",
            "enum": [
              "ready",
              "stale",
              "missing"
            ],
            "description": "Embedding lifecycle status."
          },
          "created_at": {
            "type": "string",
            "description": "Embedding creation timestamp in ISO 8601 format."
          }
        },
        "required": [
          "id",
          "model",
          "status",
          "created_at"
        ],
        "additionalProperties": false
      },
      "description": "Embeddings that were created or updated."
    },
    "created": {
      "type": "number",
      "description": "Number of embeddings created."
    },
    "updated": {
      "type": "number",
      "description": "Number of embeddings updated."
    }
  },
  "required": [
    "embeddings",
    "created",
    "updated"
  ],
  "additionalProperties": false,
  "description": "Structured result returned by the upsert_file_chunk_embeddings tool.",
  "$schema": "http://json-schema.org/draft-07/schema#"
}