feat(api): revert embedding -> embeddings

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 4
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/isaacus%2Fisaacus-fcd541cb8fbd03d20e7f02e296ee5fe35e7e6535a6926bd46cd1c4e8423b91ff.yml
-openapi_spec_hash: 8c588c5cc113ffe42c5aa9ada04169ab
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/isaacus%2Fisaacus-e92a3b3731be1b1223f26fce1a50165c75ea209097e89a530a6123a59c672898.yml
+openapi_spec_hash: ba79dfb28159963468d872e717579e94
 config_hash: 886b5eef0dbd90b8e6686e987a07b816

api.md

@@ -2,11 +2,11 @@
 
 Types:
 
-- <code><a href="./src/resources/embeddings.ts">EmbeddingCreateResponse</a></code>
+- <code><a href="./src/resources/embeddings.ts">Embedding</a></code>
 
 Methods:
 
-- <code title="post /embeddings">client.embeddings.<a href="./src/resources/embeddings.ts">create</a>({ ...params }) -> EmbeddingCreateResponse</code>
+- <code title="post /embeddings">client.embeddings.<a href="./src/resources/embeddings.ts">create</a>({ ...params }) -> Embedding</code>
 
 # Classifications
 

packages/mcp-server/src/tools/embeddings/create-embeddings.ts

@@ -18,14 +18,13 @@ export const metadata: Metadata = {
 export const tool: Tool = {
   name: 'create_embeddings',
   description:
-    "When using this tool, always use the `jq_filter` parameter to reduce the response size and improve performance.\n\nOnly omit if you're sure you don't need the data.\n\nEmbed legal texts with an Isaacus legal AI embedder.\n\n# Response Schema\n```json\n{\n  $ref: '#/$defs/embedding_create_response',\n  $defs: {\n    embedding_create_response: {\n      type: 'object',\n      title: 'Embeddings response',\n      description: 'Embeddings of legal texts produced by an Isaacus legal AI embedder.',\n      properties: {\n        embeddings: {\n          type: 'array',\n          description: 'The embeddings of the inputs.',\n          items: {\n            type: 'object',\n            title: 'Embedding',\n            properties: {\n              embedding: {\n                type: 'array',\n                description: 'The embedding of the content represented as an array of floating point numbers.',\n                items: {\n                  type: 'number'\n                }\n              },\n              index: {\n                type: 'integer',\n                description: 'The position of the content in the input array of contents, starting from `0` (and, therefore, ending at the number of contents minus `1`).'\n              }\n            },\n            required: [              'embedding',\n              'index'\n            ]\n          }\n        },\n        usage: {\n          type: 'object',\n          title: 'Embeddings usage',\n          description: 'Statistics about the usage of resources in the process of embedding the inputs.',\n          properties: {\n            input_tokens: {\n              type: 'integer',\n              description: 'The number of tokens inputted to the model.'\n            }\n          },\n          required: [            'input_tokens'\n          ]\n        }\n      },\n      required: [        'embeddings',\n        'usage'\n      ]\n    }\n  }\n}\n```",
+    "When using this tool, always use the `jq_filter` parameter to reduce the response size and improve performance.\n\nOnly omit if you're sure you don't need the data.\n\nEmbed legal texts with an Isaacus legal AI embedder.\n\n# Response Schema\n```json\n{\n  $ref: '#/$defs/embedding',\n  $defs: {\n    embedding: {\n      type: 'object',\n      title: 'Embedding response',\n      description: 'Embeddings of legal texts produced by an Isaacus legal AI embedder.',\n      properties: {\n        embeddings: {\n          type: 'array',\n          description: 'The embeddings of the inputs.',\n          items: {\n            type: 'object',\n            title: 'Embedding',\n            properties: {\n              embedding: {\n                type: 'array',\n                description: 'The embedding of the content represented as an array of floating point numbers.',\n                items: {\n                  type: 'number'\n                }\n              },\n              index: {\n                type: 'integer',\n                description: 'The position of the content in the input array of contents, starting from `0` (and, therefore, ending at the number of contents minus `1`).'\n              }\n            },\n            required: [              'embedding',\n              'index'\n            ]\n          }\n        },\n        usage: {\n          type: 'object',\n          title: 'Embedding usage',\n          description: 'Statistics about the usage of resources in the process of embedding the inputs.',\n          properties: {\n            input_tokens: {\n              type: 'integer',\n              description: 'The number of tokens inputted to the model.'\n            }\n          },\n          required: [            'input_tokens'\n          ]\n        }\n      },\n      required: [        'embeddings',\n        'usage'\n      ]\n    }\n  }\n}\n```",
   inputSchema: {
     type: 'object',
     properties: {
       model: {
         type: 'string',
-        description:
-          'The ID of the [model](https://docs.isaacus.com/models#embeddings) to use for embedding.',
+        description: 'The ID of the [model](https://docs.isaacus.com/models#embedding) to use for embedding.',
         enum: ['kanon-2-embedder'],
       },
       texts: {

src/client.ts

@@ -16,7 +16,7 @@ import * as Errors from './core/error';
 import * as Uploads from './core/uploads';
 import * as API from './resources/index';
 import { APIPromise } from './core/api-promise';
-import { EmbeddingCreateParams, EmbeddingCreateResponse, Embeddings } from './resources/embeddings';
+import { Embedding, EmbeddingCreateParams, Embeddings } from './resources/embeddings';
 import { Reranking, RerankingCreateParams, Rerankings } from './resources/rerankings';
 import { Classifications } from './resources/classifications/classifications';
 import { Extractions } from './resources/extractions/extractions';
@@ -733,7 +733,7 @@ export declare namespace Isaacus {
 
   export {
     Embeddings as Embeddings,
-    type EmbeddingCreateResponse as EmbeddingCreateResponse,
+    type Embedding as Embedding,
     type EmbeddingCreateParams as EmbeddingCreateParams,
   };
 

src/resources/embeddings.ts

@@ -19,27 +19,27 @@ export class Embeddings extends APIResource {
    * });
    * ```
    */
-  create(body: EmbeddingCreateParams, options?: RequestOptions): APIPromise<EmbeddingCreateResponse> {
+  create(body: EmbeddingCreateParams, options?: RequestOptions): APIPromise<Embedding> {
     return this._client.post('/embeddings', { body, ...options });
   }
 }
 
 /**
  * Embeddings of legal texts produced by an Isaacus legal AI embedder.
  */
-export interface EmbeddingCreateResponse {
+export interface Embedding {
   /**
    * The embeddings of the inputs.
    */
-  embeddings: Array<EmbeddingCreateResponse.Embedding>;
+  embeddings: Array<Embedding.Embedding>;
 
   /**
    * Statistics about the usage of resources in the process of embedding the inputs.
    */
-  usage: EmbeddingCreateResponse.Usage;
+  usage: Embedding.Usage;
 }
 
-export namespace EmbeddingCreateResponse {
+export namespace Embedding {
   export interface Embedding {
     /**
      * The embedding of the content represented as an array of floating point numbers.
@@ -66,7 +66,7 @@ export namespace EmbeddingCreateResponse {
 
 export interface EmbeddingCreateParams {
   /**
-   * The ID of the [model](https://docs.isaacus.com/models#embeddings) to use for
+   * The ID of the [model](https://docs.isaacus.com/models#embedding) to use for
    * embedding.
    */
   model: 'kanon-2-embedder';
@@ -109,8 +109,5 @@ export interface EmbeddingCreateParams {
 }
 
 export declare namespace Embeddings {
-  export {
-    type EmbeddingCreateResponse as EmbeddingCreateResponse,
-    type EmbeddingCreateParams as EmbeddingCreateParams,
-  };
+  export { type Embedding as Embedding, type EmbeddingCreateParams as EmbeddingCreateParams };
 }

src/resources/index.ts

@@ -1,6 +1,6 @@
 // File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export { Classifications } from './classifications/classifications';
-export { Embeddings, type EmbeddingCreateResponse, type EmbeddingCreateParams } from './embeddings';
+export { Embeddings, type Embedding, type EmbeddingCreateParams } from './embeddings';
 export { Extractions } from './extractions/extractions';
 export { Rerankings, type Reranking, type RerankingCreateParams } from './rerankings';