@orq-ai/node
v4.10.8
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Developer-friendly & type-safe Typescript SDK specifically catered to leverage *@orq-ai/node* API.
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@orq-ai/node
Developer-friendly & type-safe Typescript SDK specifically catered to leverage @orq-ai/node API.
Summary
orq.ai API: orq.ai API documentation
For more information about the API: orq.ai Documentation
Table of Contents
SDK Installation
The SDK can be installed with either npm, pnpm, bun or yarn package managers.
NPM
npm add @orq-ai/nodePNPM
pnpm add @orq-ai/nodeBun
bun add @orq-ai/nodeYarn
yarn add @orq-ai/nodeRequirements
For supported JavaScript runtimes, please consult RUNTIMES.md.
SDK Example Usage
Example
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.evals.all({});
console.log(result);
}
run();
Authentication
Per-Client Security Schemes
This SDK supports the following security scheme globally:
| Name | Type | Scheme | Environment Variable |
| -------- | ---- | ----------- | -------------------- |
| apiKey | http | HTTP Bearer | ORQ_API_KEY |
To authenticate with the API the apiKey parameter must be set when initializing the SDK client instance. For example:
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.evals.all({});
console.log(result);
}
run();
Available Resources and Operations
Agents
- create - Create agent
- list - List agents
- delete - Delete agent
- retrieve - Retrieve agent
- update - Update agent
- ~~invoke~~ - Execute an agent task :warning: Deprecated
- ~~run~~ - Run an agent with configuration :warning: Deprecated
- ~~streamRun~~ - Run agent with streaming response :warning: Deprecated
- ~~stream~~ - Stream agent execution in real-time :warning: Deprecated
- refreshKeyCard - Refresh A2A agent card
Agents.Responses
Annotations
ApiKeys
- list - List API keys
- create - Create a new API key
- listCapabilities - List capability catalog
- get - Retrieve an API key
- delete - Delete an API key
- update - Update an API key
Chunking
- parse - Parse text
Datasets
- list - List datasets
- create - Create a dataset
- retrieve - Retrieve a dataset
- update - Update a dataset
- delete - Delete a dataset
- listDatapoints - List datapoints
- createDatapoint - Create a datapoint
- retrieveDatapoint - Retrieve a datapoint
- updateDatapoint - Update a datapoint
- deleteDatapoint - Delete a datapoint
- clear - Delete all datapoints
Deployments
Evals
- all - Get all Evaluators
- create - Create an Evaluator
- update - Update an Evaluator
- delete - Delete an Evaluator
- invoke - Invoke a Custom Evaluator
- listVersions - List evaluator versions
Feedback
Files
- list - List all files
- create - Upload a file
- getContent - Download file content
- get - Retrieve a file
- delete - Delete a file
- update - Update a file
GuardrailRules
- list - List guardrail rules
- create - Create guardrail rule
- delete - Delete guardrail rule
- retrieve - Get guardrail rule
- update - Update guardrail rule
HumanReviewSets
- list - Get all human review sets
- create - Create a human review set
- get - Get a human review set by ID
- update - Update a human review set
- delete - Delete a human review set
Identities
- list - List identities
- create - Create an identity
- retrieve - Retrieve an identity
- delete - Delete an identity
- update - Update an identity
Knowledge
- list - List all knowledge bases
- create - Create a knowledge
- retrieve - Retrieves a knowledge base
- update - Updates a knowledge
- delete - Deletes a knowledge
- search - Search knowledge base
- listDatasources - List all datasources
- createDatasource - Create a new datasource
- retrieveDatasource - Retrieve a datasource
- deleteDatasource - Deletes a datasource
- updateDatasource - Update a datasource
- createChunks - Create chunks for a datasource
- listChunks - List all chunks for a datasource
- deleteChunks - Delete multiple chunks
- listChunksPaginated - List chunks with offset-based pagination
- getChunksCount - Get chunks total count
- updateChunk - Update a chunk
- deleteChunk - Delete a chunk
- retrieveChunk - Retrieve a chunk
MemoryStores
- list - List memory stores
- create - Create memory store
- retrieve - Retrieve memory store
- update - Update memory store
- delete - Delete memory store
- listMemories - List all memories
- createMemory - Create a new memory
- retrieveMemory - Retrieve a specific memory
- updateMemory - Update a specific memory
- deleteMemory - Delete a specific memory
- listDocuments - List all documents for a memory
- createDocument - Create a new memory document
- retrieveDocument - Retrieve a specific memory document
- updateDocument - Update a specific memory document
- deleteDocument - Delete a specific memory document
Models
- create - Create custom model
- createAutorouter - Create autorouter custom model
- updateAutorouter - Update autorouter custom model
- createAwsBedrock - Create AWS Bedrock custom model
- validateAwsBedrock - Validate AWS Bedrock inference profile
- updateAwsBedrock - Update AWS Bedrock custom model
- azureFoundryDeployments - List Azure Foundry deployments under a resource
- importLitellm - Import models from LiteLLM
- listLitellm - List models from configured LiteLLM instance
- createOpenaiLike - Create OpenAI-compatible custom model
- updateOpenaiLike - Update OpenAI-compatible custom model
- validate - Validate model endpoint
- createVertex - Create Vertex AI custom model
- delete - Delete custom model
- update - Update custom model
- enable - Enable model for workspace
- disable - Disable model for workspace
- list - List models
Pii
Policies
- list - List policies
- create - Create policy
- delete - Delete policy
- retrieve - Get policy
- update - Update policy
Projects
- list - List all projects
- create - Create a new project
- get - Retrieve a project
- delete - Delete a project
- update - Update a project
Prompts
- list - List all prompts
- create - Create a prompt
- retrieve - Retrieve a prompt
- update - Update a prompt
- delete - Delete a prompt
- listVersions - List all prompt versions
- getVersion - Retrieve a prompt version
Reporting
- query - Query reporting metrics
Responses
Router
- ocr - Extracts text content while maintaining document structure and hierarchy
Router.Audio.Speech
- create - Create speech
Router.Audio.Transcriptions
- create - Create transcription
Router.Audio.Translations
- create - Create translation
Router.Chat.Completions
- create - Create chat completion
Router.Completions
- create - Create completion
Router.Embeddings
- create - Create embeddings
Router.Images.Edits
- create - Create image edit
Router.Images.Generations
- create - Create image
Router.Images.Variations
- create - Create image variation
Router.Moderations
- create - Create moderation
Router.Rerank
- create - Create rerank
RoutingRules
- list - List routing rules
- create - Create routing rule
- delete - Delete routing rule
- retrieve - Get routing rule
- update - Update routing rule
Schedules
- list - List schedules
- create - Create schedule
- delete - Delete schedule
- retrieve - Retrieve schedule
- update - Update schedule
- trigger - Trigger schedule execution
Skills
- list - List all skills
- create - Create a new skill
- get - Retrieve a skill
- delete - Delete a skill
- update - Update a skill
Tools
- list - List tools
- create - Create tool
- update - Update tool
- delete - Delete tool
- retrieve - Retrieve tool
- listVersions - List tool versions
- getVersion - Get tool version
Standalone functions
All the methods listed above are available as standalone functions. These functions are ideal for use in applications running in the browser, serverless runtimes or other environments where application bundle size is a primary concern. When using a bundler to build your application, all unused functionality will be either excluded from the final bundle or tree-shaken away.
To read more about standalone functions, check FUNCTIONS.md.
agentsCreate- Create agentagentsDelete- Delete agentagentsList- List agentsagentsRefreshKeyCard- Refresh A2A agent cardagentsResponsesCreate- Create responseagentsResponsesGet- Get responseagentsRetrieve- Retrieve agentagentsUpdate- Update agentannotationsCreate- Annotate a spanannotationsDelete- Remove an annotation from a spanapiKeysCreate- Create a new API keyapiKeysDelete- Delete an API keyapiKeysGet- Retrieve an API keyapiKeysList- List API keysapiKeysListCapabilities- List capability catalogapiKeysUpdate- Update an API keychunkingParse- Parse textdatasetsClear- Delete all datapointsdatasetsCreate- Create a datasetdatasetsCreateDatapoint- Create a datapointdatasetsDelete- Delete a datasetdatasetsDeleteDatapoint- Delete a datapointdatasetsList- List datasetsdatasetsListDatapoints- List datapointsdatasetsRetrieve- Retrieve a datasetdatasetsRetrieveDatapoint- Retrieve a datapointdatasetsUpdate- Update a datasetdatasetsUpdateDatapoint- Update a datapointdeploymentsGetConfig- Get configdeploymentsInvoke- InvokedeploymentsList- List all deploymentsdeploymentsStream- StreamevalsAll- Get all EvaluatorsevalsCreate- Create an EvaluatorevalsDelete- Delete an EvaluatorevalsInvoke- Invoke a Custom EvaluatorevalsListVersions- List evaluator versionsevalsUpdate- Update an EvaluatorfeedbackCreatefeedbackCreateEvaluationfeedbackRemovefeedbackRemoveEvaluationfilesCreate- Upload a filefilesDelete- Delete a filefilesGet- Retrieve a filefilesGetContent- Download file contentfilesList- List all filesfilesUpdate- Update a fileguardrailRulesCreate- Create guardrail ruleguardrailRulesDelete- Delete guardrail ruleguardrailRulesList- List guardrail rulesguardrailRulesRetrieve- Get guardrail ruleguardrailRulesUpdate- Update guardrail rulehumanReviewSetsCreate- Create a human review sethumanReviewSetsDelete- Delete a human review sethumanReviewSetsGet- Get a human review set by IDhumanReviewSetsList- Get all human review setshumanReviewSetsUpdate- Update a human review setidentitiesCreate- Create an identityidentitiesDelete- Delete an identityidentitiesList- List identitiesidentitiesRetrieve- Retrieve an identityidentitiesUpdate- Update an identityknowledgeCreate- Create a knowledgeknowledgeCreateChunks- Create chunks for a datasourceknowledgeCreateDatasource- Create a new datasourceknowledgeDelete- Deletes a knowledgeknowledgeDeleteChunk- Delete a chunkknowledgeDeleteChunks- Delete multiple chunksknowledgeDeleteDatasource- Deletes a datasourceknowledgeGetChunksCount- Get chunks total countknowledgeList- List all knowledge basesknowledgeListChunks- List all chunks for a datasourceknowledgeListChunksPaginated- List chunks with offset-based paginationknowledgeListDatasources- List all datasourcesknowledgeRetrieve- Retrieves a knowledge baseknowledgeRetrieveChunk- Retrieve a chunkknowledgeRetrieveDatasource- Retrieve a datasourceknowledgeSearch- Search knowledge baseknowledgeUpdate- Updates a knowledgeknowledgeUpdateChunk- Update a chunkknowledgeUpdateDatasource- Update a datasourcememoryStoresCreate- Create memory storememoryStoresCreateDocument- Create a new memory documentmemoryStoresCreateMemory- Create a new memorymemoryStoresDelete- Delete memory storememoryStoresDeleteDocument- Delete a specific memory documentmemoryStoresDeleteMemory- Delete a specific memorymemoryStoresList- List memory storesmemoryStoresListDocuments- List all documents for a memorymemoryStoresListMemories- List all memoriesmemoryStoresRetrieve- Retrieve memory storememoryStoresRetrieveDocument- Retrieve a specific memory documentmemoryStoresRetrieveMemory- Retrieve a specific memorymemoryStoresUpdate- Update memory storememoryStoresUpdateDocument- Update a specific memory documentmemoryStoresUpdateMemory- Update a specific memorymodelsAzureFoundryDeployments- List Azure Foundry deployments under a resourcemodelsCreate- Create custom modelmodelsCreateAutorouter- Create autorouter custom modelmodelsCreateAwsBedrock- Create AWS Bedrock custom modelmodelsCreateOpenaiLike- Create OpenAI-compatible custom modelmodelsCreateVertex- Create Vertex AI custom modelmodelsDelete- Delete custom modelmodelsDisable- Disable model for workspacemodelsEnable- Enable model for workspacemodelsImportLitellm- Import models from LiteLLMmodelsList- List modelsmodelsListLitellm- List models from configured LiteLLM instancemodelsUpdate- Update custom modelmodelsUpdateAutorouter- Update autorouter custom modelmodelsUpdateAwsBedrock- Update AWS Bedrock custom modelmodelsUpdateOpenaiLike- Update OpenAI-compatible custom modelmodelsValidate- Validate model endpointmodelsValidateAwsBedrock- Validate AWS Bedrock inference profilepiiDetect- Detect PIIpiiRedact- Redact PIIpiiRestore- Restore redacted textpoliciesCreate- Create policypoliciesDelete- Delete policypoliciesList- List policiespoliciesRetrieve- Get policypoliciesUpdate- Update policyprojectsCreate- Create a new projectprojectsDelete- Delete a projectprojectsGet- Retrieve a projectprojectsList- List all projectsprojectsUpdate- Update a projectpromptsCreate- Create a promptpromptsDelete- Delete a promptpromptsGetVersion- Retrieve a prompt versionpromptsList- List all promptspromptsListVersions- List all prompt versionspromptsRetrieve- Retrieve a promptpromptsUpdate- Update a promptreportingQuery- Query reporting metricsresponsesCreate- Create responseresponsesGet- Retrieve responserouterAudioSpeechCreate- Create speechrouterAudioTranscriptionsCreate- Create transcriptionrouterAudioTranslationsCreate- Create translationrouterChatCompletionsCreate- Create chat completionrouterCompletionsCreate- Create completionrouterEmbeddingsCreate- Create embeddingsrouterImagesEditsCreate- Create image editrouterImagesGenerationsCreate- Create imagerouterImagesVariationsCreate- Create image variationrouterModerationsCreate- Create moderationrouterOcr- Extracts text content while maintaining document structure and hierarchyrouterRerankCreate- Create rerankroutingRulesCreate- Create routing ruleroutingRulesDelete- Delete routing ruleroutingRulesList- List routing rulesroutingRulesRetrieve- Get routing ruleroutingRulesUpdate- Update routing ruleschedulesCreate- Create scheduleschedulesDelete- Delete scheduleschedulesList- List schedulesschedulesRetrieve- Retrieve scheduleschedulesTrigger- Trigger schedule executionschedulesUpdate- Update scheduleskillsCreate- Create a new skillskillsDelete- Delete a skillskillsGet- Retrieve a skillskillsList- List all skillsskillsUpdate- Update a skilltoolsCreate- Create tooltoolsDelete- Delete tooltoolsGetVersion- Get tool versiontoolsList- List toolstoolsListVersions- List tool versionstoolsRetrieve- Retrieve tooltoolsUpdate- Update tool- ~~
agentsInvoke~~ - Execute an agent task :warning: Deprecated - ~~
agentsRun~~ - Run an agent with configuration :warning: Deprecated - ~~
agentsStream~~ - Stream agent execution in real-time :warning: Deprecated - ~~
agentsStreamRun~~ - Run agent with streaming response :warning: Deprecated
Server-sent event streaming
Server-sent events are used to stream content from certain
operations. These operations will expose the stream as an async iterable that
can be consumed using a for await...of loop. The loop will
terminate when the server no longer has any events to send and closes the
underlying connection.
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.deployments.stream({
key: "<key>",
identity: {
id: "contact_01ARZ3NDEKTSV4RRFFQ69G5FAV",
displayName: "Jane Doe",
email: "[email protected]",
metadata: [
{
"department": "Engineering",
"role": "Senior Developer",
},
],
logoUrl: "https://example.com/avatars/jane-doe.jpg",
tags: [
"hr",
"engineering",
],
},
documents: [
{
text:
"The refund policy allows customers to return items within 30 days of purchase for a full refund.",
metadata: {
fileName: "refund_policy.pdf",
fileType: "application/pdf",
pageNumber: 1,
},
},
{
text: "Premium members receive free shipping on all orders over $50.",
metadata: {
fileName: "membership_benefits.md",
fileType: "text/markdown",
},
},
],
});
for await (const event of result) {
console.log(event);
}
}
run();
File uploads
Certain SDK methods accept files as part of a multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.
[!TIP]
Depending on your JavaScript runtime, there are convenient utilities that return a handle to a file without reading the entire contents into memory:
- Node.js v20+: Since v20, Node.js comes with a native
openAsBlobfunction innode:fs.- Bun: The native
Bun.filefunction produces a file handle that can be used for streaming file uploads.- Browsers: All supported browsers return an instance to a
Filewhen reading the value from an<input type="file">element.- Node.js v18: A file stream can be created using the
fileFromhelper fromfetch-blob/from.js.
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.router.audio.transcriptions.create({
model: "Malibu",
temperature: 0.5,
timestampGranularities: [
"word",
"segment",
],
retry: {
onCodes: [
429,
500,
502,
503,
504,
],
},
loadBalancer: {
type: "weight_based",
models: [
{
model: "openai/gpt-4o",
weight: 0.7,
},
],
},
timeout: {
callTimeout: 30000,
},
orq: {
fallbacks: [
{
model: "openai/gpt-4o-mini",
},
],
retry: {
onCodes: [
429,
500,
502,
503,
504,
],
},
identity: {
id: "contact_01ARZ3NDEKTSV4RRFFQ69G5FAV",
displayName: "Jane Doe",
email: "[email protected]",
metadata: [
{
"department": "Engineering",
"role": "Senior Developer",
},
],
logoUrl: "https://example.com/avatars/jane-doe.jpg",
tags: [
"hr",
"engineering",
],
},
loadBalancer: {
type: "weight_based",
models: [
{
model: "openai/gpt-4o",
weight: 0.7,
},
{
model: "anthropic/claude-3-5-sonnet",
weight: 0.3,
},
],
},
timeout: {
callTimeout: 30000,
},
},
});
console.log(result);
}
run();
Retries
Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.
To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.evals.all({}, {
retries: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
});
console.log(result);
}
run();
If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:
import { Orq } from "@orq-ai/node";
const orq = new Orq({
retryConfig: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.evals.all({});
console.log(result);
}
run();
Error Handling
OrqError is the base class for all HTTP error responses. It has the following properties:
| Property | Type | Description |
| ------------------- | ---------- | --------------------------------------------------------------------------------------- |
| error.message | string | Error message |
| error.statusCode | number | HTTP response status code eg 404 |
| error.headers | Headers | HTTP response headers |
| error.body | string | HTTP body. Can be empty string if no body is returned. |
| error.rawResponse | Response | Raw HTTP response |
| error.data$ | | Optional. Some errors may contain structured data. See Error Classes. |
Example
import { Orq } from "@orq-ai/node";
import * as errors from "@orq-ai/node/models/errors";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
try {
const result = await orq.evals.all({});
console.log(result);
} catch (error) {
// The base class for HTTP error responses
if (error instanceof errors.OrqError) {
console.log(error.message);
console.log(error.statusCode);
console.log(error.body);
console.log(error.headers);
// Depending on the method different errors may be thrown
if (error instanceof errors.GetEvalsResponseBody) {
console.log(error.data$.message); // string
}
}
}
}
run();
Error Classes
Primary error:
OrqError: The base class for HTTP error responses.
Network errors:
ConnectionError: HTTP client was unable to make a request to a server.RequestTimeoutError: HTTP request timed out due to an AbortSignal signal.RequestAbortedError: HTTP request was aborted by the client.InvalidRequestError: Any input used to create a request is invalid.UnexpectedClientError: Unrecognised or unexpected error.
Inherit from OrqError:
HonoApiError: Applicable to 10 of 177 methods.*InvokeEvalResponseBody: Bad request. Status code400. Applicable to 1 of 177 methods.*PostV2AgentsKeyCardRefreshResponseBody: Invalid request - Agent is not an A2A agent or card fetch failed. Status code400. Applicable to 1 of 177 methods.*PostV2FeedbackResponseBody: Bad Request. Status code400. Applicable to 1 of 177 methods.*CreateAgentScheduleResponseBody: Invalid schedule type, expression, or sub-hour cadence. Status code400. Applicable to 1 of 177 methods.*UpdateAgentScheduleResponseBody: Invalid type, expression, or sub-hour cadence. Status code400. Applicable to 1 of 177 methods.*TriggerAgentScheduleResponseBody: Schedule is inactive. Status code400. Applicable to 1 of 177 methods.*GetEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*CreateEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*UpdateEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*DeleteEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*InvokeEvalEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*GetV2EvaluatorsIdVersionsResponseBody: Evaluator not found. Status code404. Applicable to 1 of 177 methods.*DeleteAgentResponseBody: Agent not found. The specified agent key does not exist in the workspace or has already been deleted. Status code404. Applicable to 1 of 177 methods.*RetrieveAgentRequestResponseBody: Agent not found. The specified agent key does not exist in the workspace or you do not have permission to access it. Status code404. Applicable to 1 of 177 methods.*UpdateAgentResponseBody: Agent not found. The specified agent key does not exist in the workspace or you do not have permission to modify it. Status code404. Applicable to 1 of 177 methods.*StreamRunAgentResponseBody: Model not found. Status code404. Applicable to 1 of 177 methods.*StreamAgentResponseBody: Agent not found. Status code404. Applicable to 1 of 177 methods.*PostV2AgentsKeyCardRefreshAgentsResponseBody: Agent not found. Status code404. Applicable to 1 of 177 methods.*UpdatePromptResponseBody: Prompt not found. Status code404. Applicable to 1 of 177 methods.*DeletePromptResponseBody: Prompt not found. Status code404. Applicable to 1 of 177 methods.*GetPromptVersionResponseBody: Not Found - The prompt or prompt version does not exist. Status code404. Applicable to 1 of 177 methods.*UpdateToolResponseBody: Tool not found. Status code404. Applicable to 1 of 177 methods.*GetV2ToolsToolIdVersionsResponseBody: Tool not found. Status code404. Applicable to 1 of 177 methods.*GetV2ToolsToolIdVersionsVersionIdResponseBody: Tool or version not found. Status code404. Applicable to 1 of 177 methods.*PostV2FeedbackRemoveResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*PostV2FeedbackFeedbackResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 177 methods.*CreateAgentScheduleSchedulesResponseBody: Agent (or agent version, when agent_tag is set) not found. Status code404. Applicable to 1 of 177 methods.*DeleteAgentScheduleResponseBody: Schedule not found, or belongs to a different agent. Status code404. Applicable to 1 of 177 methods.*RetrieveAgentScheduleResponseBody: Schedule not found, or belongs to a different agent. Status code404. Applicable to 1 of 177 methods.*UpdateAgentScheduleSchedulesResponseBody: Schedule or agent version not found. Status code404. Applicable to 1 of 177 methods.*TriggerAgentScheduleSchedulesResponseBody: Schedule not found, or belongs to a different agent. Status code404. Applicable to 1 of 177 methods.*CreateModerationResponseBody: Returns validation error. Status code422. Applicable to 1 of 177 methods.*CreateTranscriptionResponseBody: Returns validation error. Status code422. Applicable to 1 of 177 methods.*CreateTranslationResponseBody: Returns validation error. Status code422. Applicable to 1 of 177 methods.*InvokeEvalEvalsResponseResponseBody: Error running the evaluator. Status code500. Applicable to 1 of 177 methods.*ResponseValidationError: Type mismatch between the data returned from the server and the structure expected by the SDK. Seeerror.rawValuefor the raw value anderror.pretty()for a nicely formatted multi-line string.
* Check the method documentation to see if the error is applicable.
Server Selection
Override Server URL Per-Client
The default server can be overridden globally by passing a URL to the serverURL: string optional parameter when initializing the SDK client instance. For example:
import { Orq } from "@orq-ai/node";
const orq = new Orq({
serverURL: "https://my.orq.ai",
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.evals.all({});
console.log(result);
}
run();
Custom HTTP Client
The TypeScript SDK makes API calls using an HTTPClient that wraps the native
Fetch API. This
client is a thin wrapper around fetch and provides the ability to attach hooks
around the request lifecycle that can be used to modify the request or handle
errors and response.
The HTTPClient constructor takes an optional fetcher argument that can be
used to integrate a third-party HTTP client or when writing tests to mock out
the HTTP client and feed in fixtures.
The following example shows how to:
- route requests through a proxy server using undici's ProxyAgent
- use the
"beforeRequest"hook to add a custom header and a timeout to requests - use the
"requestError"hook to log errors
import { Orq } from "@orq-ai/node";
import { ProxyAgent } from "undici";
import { HTTPClient } from "@orq-ai/node/lib/http";
const dispatcher = new ProxyAgent("http://proxy.example.com:8080");
const httpClient = new HTTPClient({
// 'fetcher' takes a function that has the same signature as native 'fetch'.
fetcher: (input, init) =>
// 'dispatcher' is specific to undici and not part of the standard Fetch API.
fetch(input, { ...init, dispatcher } as RequestInit),
});
httpClient.addHook("beforeRequest", (request) => {
const nextRequest = new Request(request, {
signal: request.signal || AbortSignal.timeout(5000)
});
nextRequest.headers.set("x-custom-header", "custom value");
return nextRequest;
});
httpClient.addHook("requestError", (error, request) => {
console.group("Request Error");
console.log("Reason:", `${error}`);
console.log("Endpoint:", `${request.method} ${request.url}`);
console.groupEnd();
});
const sdk = new Orq({ httpClient: httpClient });Debugging
You can setup your SDK to emit debug logs for SDK requests and responses.
You can pass a logger that matches console's interface as an SDK option.
[!WARNING] Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.
import { Orq } from "@orq-ai/node";
const sdk = new Orq({ debugLogger: console });You can also enable a default debug logger by setting an environment variable ORQ_DEBUG to true.
Development
Maturity
This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.
Contributions
While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.
