chore: import upstream snapshot with attribution

apps/sim/tools/pinecone/generate_embeddings.ts

@@ -0,0 +1,83 @@
+import type { PineconeGenerateEmbeddingsParams, PineconeResponse } from '@/tools/pinecone/types'
+import type { ToolConfig } from '@/tools/types'
+
+export const generateEmbeddingsTool: ToolConfig<
+  PineconeGenerateEmbeddingsParams,
+  PineconeResponse
+> = {
+  id: 'pinecone_generate_embeddings',
+  name: 'Pinecone Generate Embeddings',
+  description: "Generate embeddings from text using Pinecone's hosted models",
+  version: '1.0',
+
+  params: {
+    model: {
+      type: 'string',
+      required: true,
+      visibility: 'user-only',
+      description: 'Model to use for generating embeddings',
+    },
+    inputs: {
+      type: 'array',
+      required: true,
+      visibility: 'user-or-llm',
+      description: 'Array of text inputs to generate embeddings for',
+    },
+    apiKey: {
+      type: 'string',
+      required: true,
+      visibility: 'user-only',
+      description: 'Pinecone API key',
+    },
+  },
+
+  request: {
+    method: 'POST',
+    url: () => 'https://api.pinecone.io/embed',
+    headers: (params) => ({
+      'Api-Key': params.apiKey,
+      'Content-Type': 'application/json',
+      'X-Pinecone-API-Version': '2025-01',
+    }),
+    body: (params) => ({
+      model: params.model,
+      inputs: params.inputs,
+      parameters: params.parameters || {
+        input_type: 'passage',
+        truncate: 'END',
+      },
+    }),
+  },
+
+  transformResponse: async (response) => {
+    const data = await response.json()
+    return {
+      success: true,
+      output: {
+        data: data.data,
+        model: data.model,
+        vector_type: data.vector_type,
+        usage: data.usage,
+      },
+    }
+  },
+
+  outputs: {
+    data: {
+      type: 'array',
+      description: 'Generated embeddings data with values and vector type',
+    },
+    model: {
+      type: 'string',
+      description: 'Model used for generating embeddings',
+    },
+    vector_type: {
+      type: 'string',
+      description: 'Type of vector generated (dense/sparse)',
+    },
+    usage: {
+      type: 'object',
+      description: 'Usage statistics for embeddings generation',
+    },
+  },
+}