release: 0.2.0 (#12)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

Author: stainless-app[bot]

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.1.0"
+  ".": "0.2.0"
 }

.stats.yml

@@ -1,2 +1,2 @@
-configured_endpoints: 33
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/contextual-ai%2Fsunrise-4ed32c3243ce7a772e55bb1ba204736fc3fb1d712d8ca0eb91bac0c7ac626938.yml
+configured_endpoints: 35
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/contextual-ai%2Fsunrise-d79ccb778953ad5c2ae4b99115429c8b3f68b3b23d9b6d90b1b40393f11a4383.yml

CHANGELOG.md

@@ -1,5 +1,23 @@
 # Changelog
 
+## 0.2.0 (2025-02-08)
+
+Full Changelog: [v0.1.0...v0.2.0](https://github.com/ContextualAI/contextual-client-node/compare/v0.1.0...v0.2.0)
+
+### Features
+
+* **api:** update via SDK Studio ([#15](https://github.com/ContextualAI/contextual-client-node/issues/15)) ([6aaf723](https://github.com/ContextualAI/contextual-client-node/commit/6aaf723c236fa90c113f89e3c455c071fdf311e4))
+* **api:** update via SDK Studio ([#16](https://github.com/ContextualAI/contextual-client-node/issues/16)) ([0cfb143](https://github.com/ContextualAI/contextual-client-node/commit/0cfb143e6a706365c1ea6d21404e1d3dfdca87eb))
+* **api:** update via SDK Studio ([#18](https://github.com/ContextualAI/contextual-client-node/issues/18)) ([54f5551](https://github.com/ContextualAI/contextual-client-node/commit/54f55516820f04498db0f45997539d9fa142f589))
+* **client:** send `X-Stainless-Timeout` header ([#17](https://github.com/ContextualAI/contextual-client-node/issues/17)) ([6cb5614](https://github.com/ContextualAI/contextual-client-node/commit/6cb56149556ce93fae414e40e23114229929f8ed))
+
+
+### Chores
+
+* **internal:** codegen related update ([#11](https://github.com/ContextualAI/contextual-client-node/issues/11)) ([30253b7](https://github.com/ContextualAI/contextual-client-node/commit/30253b751d480a41574804fa080a02449c37936a))
+* **internal:** codegen related update ([#13](https://github.com/ContextualAI/contextual-client-node/issues/13)) ([69a063a](https://github.com/ContextualAI/contextual-client-node/commit/69a063afb19f3739fc877ddbc90bf3c8da826d48))
+* **internal:** codegen related update ([#14](https://github.com/ContextualAI/contextual-client-node/issues/14)) ([ed84da5](https://github.com/ContextualAI/contextual-client-node/commit/ed84da5bd3a9085f5d9bed012112d8ef386a9f64))
+
 ## 0.1.0 (2025-01-15)
 
 Full Changelog: [v0.1.0-alpha.2...v0.1.0](https://github.com/ContextualAI/contextual-client-node/compare/v0.1.0-alpha.2...v0.1.0)

api.md

@@ -156,3 +156,23 @@ Types:
 Methods:
 
 - <code title="post /lmunit">client.lmUnit.<a href="./src/resources/lmunit.ts">create</a>({ ...params }) -> LMUnitCreateResponse</code>
+
+# Rerank
+
+Types:
+
+- <code><a href="./src/resources/rerank.ts">RerankCreateResponse</a></code>
+
+Methods:
+
+- <code title="post /rerank">client.rerank.<a href="./src/resources/rerank.ts">create</a>({ ...params }) -> RerankCreateResponse</code>
+
+# Generate
+
+Types:
+
+- <code><a href="./src/resources/generate.ts">GenerateCreateResponse</a></code>
+
+Methods:
+
+- <code title="post /generate">client.generate.<a href="./src/resources/generate.ts">create</a>({ ...params }) -> GenerateCreateResponse</code>

package.json

@@ -1,6 +1,6 @@
 {
   "name": "contextual-client",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "The official TypeScript library for the Contextual AI API",
   "author": "Contextual AI <support@contextual.ai>",
   "types": "dist/index.d.ts",

src/core.ts

@@ -280,6 +280,7 @@ export abstract class APIClient {
     options: FinalRequestOptions<Req>,
     { retryCount = 0 }: { retryCount?: number } = {},
   ): { req: RequestInit; url: string; timeout: number } {
+    options = { ...options };
     const { method, path, query, headers: headers = {} } = options;
 
     const body =
@@ -292,9 +293,9 @@ export abstract class APIClient {
 
     const url = this.buildURL(path!, query);
     if ('timeout' in options) validatePositiveInteger('timeout', options.timeout);
-    const timeout = options.timeout ?? this.timeout;
+    options.timeout = options.timeout ?? this.timeout;
     const httpAgent = options.httpAgent ?? this.httpAgent ?? getDefaultAgent(url);
-    const minAgentTimeout = timeout + 1000;
+    const minAgentTimeout = options.timeout + 1000;
     if (
       typeof (httpAgent as any)?.options?.timeout === 'number' &&
       minAgentTimeout > ((httpAgent as any).options.timeout ?? 0)
@@ -323,7 +324,7 @@ export abstract class APIClient {
       signal: options.signal ?? null,
     };
 
-    return { req, url, timeout };
+    return { req, url, timeout: options.timeout };
   }
 
   private buildHeaders({
@@ -351,15 +352,22 @@ export abstract class APIClient {
       delete reqHeaders['content-type'];
     }
 
-    // Don't set the retry count header if it was already set or removed through default headers or by the
-    // caller. We check `defaultHeaders` and `headers`, which can contain nulls, instead of `reqHeaders` to
-    // account for the removal case.
+    // Don't set theses headers if they were already set or removed through default headers or by the caller.
+    // We check `defaultHeaders` and `headers`, which can contain nulls, instead of `reqHeaders` to account
+    // for the removal case.
     if (
       getHeader(defaultHeaders, 'x-stainless-retry-count') === undefined &&
       getHeader(headers, 'x-stainless-retry-count') === undefined
     ) {
       reqHeaders['x-stainless-retry-count'] = String(retryCount);
     }
+    if (
+      getHeader(defaultHeaders, 'x-stainless-timeout') === undefined &&
+      getHeader(headers, 'x-stainless-timeout') === undefined &&
+      options.timeout
+    ) {
+      reqHeaders['x-stainless-timeout'] = String(options.timeout);
+    }
 
     this.validateHeaders(reqHeaders, headers);
 

src/index.ts

@@ -15,7 +15,9 @@ import {
 } from './pagination';
 import * as Uploads from './uploads';
 import * as API from './resources/index';
+import { Generate, GenerateCreateParams, GenerateCreateResponse } from './resources/generate';
 import { LMUnit, LMUnitCreateParams, LMUnitCreateResponse } from './resources/lmunit';
+import { Rerank, RerankCreateParams, RerankCreateResponse } from './resources/rerank';
 import {
   Agent as AgentsAPIAgent,
   AgentCreateParams,
@@ -61,15 +63,15 @@ export interface ClientOptions {
    * Note that request timeouts are retried by default, so in a worst-case scenario you may wait
    * much longer than this timeout before the promise succeeds or fails.
    */
-  timeout?: number;
+  timeout?: number | undefined;
 
   /**
    * An HTTP agent used to manage HTTP(S) connections.
    *
    * If not provided, an agent will be constructed by default in the Node.js environment,
    * otherwise no agent is used.
    */
-  httpAgent?: Agent;
+  httpAgent?: Agent | undefined;
 
   /**
    * Specify a custom `fetch` function implementation.
@@ -85,23 +87,23 @@ export interface ClientOptions {
    *
    * @default 2
    */
-  maxRetries?: number;
+  maxRetries?: number | undefined;
 
   /**
    * Default headers to include with every request to the API.
    *
    * These can be removed in individual requests by explicitly setting the
    * header to `undefined` or `null` in request options.
    */
-  defaultHeaders?: Core.Headers;
+  defaultHeaders?: Core.Headers | undefined;
 
   /**
    * Default query parameters to include with every request to the API.
    *
    * These can be removed in individual requests by explicitly setting the
    * param to `undefined` in request options.
    */
-  defaultQuery?: Core.DefaultQuery;
+  defaultQuery?: Core.DefaultQuery | undefined;
 }
 
 /**
@@ -157,6 +159,8 @@ export class ContextualAI extends Core.APIClient {
   datastores: API.Datastores = new API.Datastores(this);
   agents: API.Agents = new API.Agents(this);
   lmUnit: API.LMUnit = new API.LMUnit(this);
+  rerank: API.Rerank = new API.Rerank(this);
+  generate: API.Generate = new API.Generate(this);
 
   protected override defaultQuery(): Core.DefaultQuery | undefined {
     return this._options.defaultQuery;
@@ -203,6 +207,8 @@ ContextualAI.DatastoresDatastoresPage = DatastoresDatastoresPage;
 ContextualAI.Agents = Agents;
 ContextualAI.AgentsPage = AgentsPage;
 ContextualAI.LMUnit = LMUnit;
+ContextualAI.Rerank = Rerank;
+ContextualAI.Generate = Generate;
 export declare namespace ContextualAI {
   export type RequestOptions = Core.RequestOptions;
 
@@ -252,6 +258,18 @@ export declare namespace ContextualAI {
     type LMUnitCreateResponse as LMUnitCreateResponse,
     type LMUnitCreateParams as LMUnitCreateParams,
   };
+
+  export {
+    Rerank as Rerank,
+    type RerankCreateResponse as RerankCreateResponse,
+    type RerankCreateParams as RerankCreateParams,
+  };
+
+  export {
+    Generate as Generate,
+    type GenerateCreateResponse as GenerateCreateResponse,
+    type GenerateCreateParams as GenerateCreateParams,
+  };
 }
 
 export { toFile, fileFromPath } from './uploads';

src/resources/agents/agents.ts

@@ -138,7 +138,7 @@ export interface AgentMetadata {
    * These queries will show up as suggestions in the Contextual UI when users load
    * the agent. We recommend including common queries that users will ask, as well as
    * complex queries so users understand the types of complex queries the system can
-   * handle.
+   * handle. The max length of all the suggested queries is 1000.
    */
   suggested_queries?: Array<string>;
 
@@ -209,7 +209,7 @@ export interface AgentCreateParams {
    * These queries will show up as suggestions in the Contextual UI when users load
    * the agent. We recommend including common queries that users will ask, as well as
    * complex queries so users understand the types of complex queries the system can
-   * handle.
+   * handle. The max length of all the suggested queries is 1000.
    */
   suggested_queries?: Array<string>;
 
@@ -237,7 +237,7 @@ export interface AgentUpdateParams {
    * These queries will show up as suggestions in the Contextual UI when users load
    * the agent. We recommend including common queries that users will ask, as well as
    * complex queries so users understand the types of complex queries the system can
-   * handle.
+   * handle. The max length of all the suggested queries is 1000.
    */
   suggested_queries?: Array<string>;
 

src/resources/agents/datasets/evaluate.ts

@@ -9,20 +9,20 @@ import { type Response } from '../../../_shims/index';
 export class Evaluate extends APIResource {
   /**
    * Create a new evaluation `Dataset` for the specified `Agent` using the provided
-   * JSONL file. A `Dataset` is a versioned collection of samples conforming to a
-   * particular schema, and can be used to store `Evaluation` test-sets and retrieve
-   * `Evaluation` results.
+   * JSONL or CSV file. A `Dataset` is a versioned collection of samples conforming
+   * to a particular schema, and can be used to store `Evaluation` test-sets and
+   * retrieve `Evaluation` results.
    *
    * Each `Dataset` is versioned and validated against its schema during creation and
    * subsequent updates. The provided `Dataset` file must conform to the schema
    * defined for the `dataset_type`.
    *
-   * File schema for `dataset_type` `evaluation_set` is a JSONL or CSV file where
-   * each line is one JSON object with the following required keys:
+   * File schema for `dataset_type` `evaluation_set` is a CSV file or a JSONL file
+   * where each line is one JSON object. The following keys are required:
    *
-   * - `prompt` (required, `string`): Prompt or question
+   * - `prompt` (`string`): Prompt or question
    *
-   * - `reference` (required, `string`): Required reference or ground truth response
+   * - `reference` (`string`): Reference or ground truth response
    */
   create(
     agentId: string,
@@ -80,12 +80,12 @@ export class Evaluate extends APIResource {
    * Create a new version of the dataset by appending content to the `Dataset` and
    * validating against its schema.
    *
-   * File schema for `dataset_type` `evaluation_set` is a JSONL file where each line
-   * is one JSON object with the following required keys:
+   * File schema for `dataset_type` `evaluation_set` is a CSV file or a JSONL file
+   * where each line is one JSON object. The following keys are required:
    *
    * - `prompt` (`string`): Prompt or question
    *
-   * - `reference` (`string`): Required reference or ground truth response
+   * - `reference` (`string`): Reference or ground truth response
    */
   update(
     agentId: string,
@@ -184,7 +184,7 @@ export interface EvaluateCreateParams {
   dataset_type: 'evaluation_set';
 
   /**
-   * JSONL file containing the evaluation dataset
+   * JSONL or CSV file containing the evaluation dataset
    */
   file: Core.Uploadable;
 }
@@ -210,7 +210,7 @@ export interface EvaluateUpdateParams {
   dataset_type: 'evaluation_set';
 
   /**
-   * JSONL file containing the entries to append to the evaluation dataset
+   * JSONL or CSV file containing the entries to append to the evaluation dataset
    */
   file: Core.Uploadable;
 }

src/resources/agents/evaluate/evaluate.ts

@@ -72,7 +72,7 @@ export interface EvaluateCreateParams {
   /**
    * ID of the model to evaluate. Uses the default model if not specified.
    */
-  llm_model_id?: string | null;
+  llm_model_id?: string;
 }
 
 Evaluate.Jobs = Jobs;