Developer-friendly & type-safe Typescript SDK specifically catered to leverage @orq-ai/node API.
orq.ai API: orq.ai API documentation
For more information about the API: orq.ai Documentation
The SDK can be installed with either npm, pnpm, bun or yarn package managers.
npm add @orq-ai/nodepnpm add @orq-ai/nodebun add @orq-ai/nodeyarn add @orq-ai/nodeFor supported JavaScript runtimes, please consult RUNTIMES.md.
import { Orq } from "@orq-ai/node";
const orq = new Orq({
apiKey: process.env["ORQ_API_KEY"] ?? "",
});
async function run() {
const result = await orq.postV2Feedback();
console.log(result);
}
run();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.postV2Feedback();
console.log(result);
}
run();Available methods
- postV2Feedback
- postV2FeedbackEvaluationRemove
- postV2FeedbackEvaluation
- postV2FeedbackRemove
- getV2HumanEvals
- postV2HumanEvals
- getV2HumanEvalsId
- patchV2HumanEvalsId
- deleteV2HumanEvalsId
- postV2AgentsA2a - Register external A2A agent
- postV2AgentsKeyCardRefresh - Refresh A2A agent card
- create - Create agent
- list - List agents
- delete - Delete agent
- retrieve - Retrieve agent
- update - Update agent
invoke- Execute an agent task⚠️ Deprecatedrun- Run an agent with configuration⚠️ DeprecatedstreamRun- Run agent with streaming response⚠️ Deprecatedstream- Stream agent execution in real-time⚠️ Deprecated
- parse - Parse text
- create - Update user information
- 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
create- Add metrics⚠️ Deprecated
- all - Get all Evaluators
- create - Create an Evaluator
- update - Update an Evaluator
- delete - Delete an Evaluator
- invoke - Invoke a Custom Evaluator
- getV2EvaluatorsIdVersions - List evaluator versions
- list - List all files
- create - Create file
- delete - Delete file
- get - Retrieve a file
- update - Update file
- getContent - Download file content
- getV2HumanEvalSets - Get all human review sets
- postV2HumanEvalSets - Create a human review set
- getV2HumanEvalSetsId - Get a human review set by ID
- patchV2HumanEvalSetsId - Update a human review set
- deleteV2HumanEvalSetsId - Delete a human review set
- list - List identities
- create - Create an identity
- retrieve - Retrieve an identity
- update - Update an identity
- delete - Delete an identity
- 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
- 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
- list - List models
- 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
- retrieve - Retrieve a remote config
- ocr - Extracts text content while maintaining document structure and hierarchy
- create - Create speech
- create - Create transcription
- create - Create translation
- create - Create chat completion
- create - Create completion
- create - Create embeddings
- create - Create image edit
- create - Create image
- create - Create image variation
- create - Create moderation
- create - Create rerank
- create - Create response
- list - List tools
- create - Create tool
- update - Update tool
- delete - Delete tool
- retrieve - Retrieve tool
- getV2ToolsToolIdVersions - List tool versions
- getV2ToolsToolIdVersionsVersionId - Get tool version
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.
Available standalone functions
agentsCreate- Create agentagentsDelete- Delete agentagentsList- List agentsagentsPostV2AgentsA2a- Register external A2A agentagentsPostV2AgentsKeyCardRefresh- Refresh A2A agent cardagentsResponsesCreate- Create responseagentsResponsesGet- Get responseagentsRetrieve- Retrieve agentagentsUpdate- Update agentannotationsCreate- Annotate a spanannotationsDelete- Remove an annotation from a spanchunkingParse- Parse textcontactsCreate- Update user informationdatasetsClear- 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 datapointdeleteV2HumanEvalsIddeploymentsGetConfig- Get configdeploymentsInvoke- InvokedeploymentsList- List all deploymentsdeploymentsStream- StreamevalsAll- Get all EvaluatorsevalsCreate- Create an EvaluatorevalsDelete- Delete an EvaluatorevalsInvoke- Invoke a Custom EvaluatorevalsUpdate- Update an EvaluatorevaluatorsGetV2EvaluatorsIdVersions- List evaluator versionsfilesCreate- Create filefilesDelete- Delete filefilesGet- Retrieve a filefilesGetContent- Download file contentfilesList- List all filesfilesUpdate- Update filegetV2HumanEvalsgetV2HumanEvalsIdhumanReviewSetsDeleteV2HumanEvalSetsId- Delete a human review sethumanReviewSetsGetV2HumanEvalSets- Get all human review setshumanReviewSetsGetV2HumanEvalSetsId- Get a human review set by IDhumanReviewSetsPatchV2HumanEvalSetsId- Update a human review sethumanReviewSetsPostV2HumanEvalSets- Create 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 memorymodelsList- List modelspatchV2HumanEvalsIdpostV2FeedbackpostV2FeedbackEvaluationpostV2FeedbackEvaluationRemovepostV2FeedbackRemovepostV2HumanEvalspromptsCreate- Create a promptpromptsDelete- Delete a promptpromptsGetVersion- Retrieve a prompt versionpromptsList- List all promptspromptsListVersions- List all prompt versionspromptsRetrieve- Retrieve a promptpromptsUpdate- Update a promptremoteconfigsRetrieve- Retrieve a remote configrouterAudioSpeechCreate- 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 rerankrouterResponsesCreate- Create responsetoolsCreate- Create tooltoolsDelete- Delete tooltoolsGetV2ToolsToolIdVersions- List tool versionstoolsGetV2ToolsToolIdVersionsVersionId- Get tool versiontoolsList- List toolstoolsRetrieve- Retrieve tooltoolsUpdate- Update tool- Execute an agent taskagentsInvoke⚠️ Deprecated- Run an agent with configurationagentsRun⚠️ Deprecated- Stream agent execution in real-timeagentsStream⚠️ Deprecated- Run agent with streaming responseagentsStreamRun⚠️ Deprecated- Add metricsdeploymentsMetricsCreate⚠️ Deprecated
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({
environment: "<value>",
contactId: "<id>",
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: "jane.doe@example.com",
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();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: "jane.doe@example.com",
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();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.postV2Feedback(undefined, {
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.postV2Feedback();
console.log(result);
}
run();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. |
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.postV2Feedback();
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.PostV2FeedbackResponseBody) {
console.log(error.data$.message); // string
}
}
}
}
run();Primary error:
OrqError: The base class for HTTP error responses.
Less common errors (44)
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 127 methods.*PostV2FeedbackResponseBody: Bad Request. Status code400. Applicable to 1 of 127 methods.*InvokeEvalResponseBody: Bad request. Status code400. Applicable to 1 of 127 methods.*PostV2AgentsA2aResponseBody: Invalid request or agent card fetch failed. Status code400. Applicable to 1 of 127 methods.*PostV2AgentsKeyCardRefreshResponseBody: Invalid request - Agent is not an A2A agent or card fetch failed. Status code400. Applicable to 1 of 127 methods.*PostV2FeedbackResponseResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*PostV2FeedbackRemoveResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*GetV2HumanEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*PostV2HumanEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*GetV2HumanEvalsIdResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*PatchV2HumanEvalsIdResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*DeleteV2HumanEvalsIdResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*GetEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*CreateEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*UpdateEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*DeleteEvalResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*InvokeEvalEvalsResponseBody: Workspace ID is not found on the request. Status code404. Applicable to 1 of 127 methods.*GetV2EvaluatorsIdVersionsResponseBody: Evaluator not found. Status code404. Applicable to 1 of 127 methods.*RetrieveIdentityResponseBody: Identity not found. Status code404. Applicable to 1 of 127 methods.*UpdateIdentityResponseBody: Identity not found. Status code404. Applicable to 1 of 127 methods.*DeleteIdentityResponseBody: Identity not found. Status code404. Applicable to 1 of 127 methods.*PostV2AgentsKeyCardRefreshAgentsResponseBody: Agent not found. Status code404. Applicable to 1 of 127 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 127 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 127 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 127 methods.*StreamRunAgentResponseBody: Model not found. Status code404. Applicable to 1 of 127 methods.*StreamAgentResponseBody: Agent not found. Status code404. Applicable to 1 of 127 methods.*UpdatePromptResponseBody: Prompt not found. Status code404. Applicable to 1 of 127 methods.*DeletePromptResponseBody: Prompt not found. Status code404. Applicable to 1 of 127 methods.*GetPromptVersionResponseBody: Not Found - The prompt or prompt version does not exist. Status code404. Applicable to 1 of 127 methods.*UpdateToolResponseBody: Tool not found. Status code404. Applicable to 1 of 127 methods.*GetV2ToolsToolIdVersionsResponseBody: Tool not found. Status code404. Applicable to 1 of 127 methods.*GetV2ToolsToolIdVersionsVersionIdResponseBody: Tool or version not found. Status code404. Applicable to 1 of 127 methods.*PostV2AgentsA2aAgentsResponseBody: Agent with this key already exists. Status code409. Applicable to 1 of 127 methods.*CreateModerationResponseBody: Returns validation error. Status code422. Applicable to 1 of 127 methods.*CreateTranscriptionResponseBody: Returns validation error. Status code422. Applicable to 1 of 127 methods.*CreateTranslationResponseBody: Returns validation error. Status code422. Applicable to 1 of 127 methods.*InvokeEvalEvalsResponseResponseBody: Error running the evaluator. Status code500. Applicable to 1 of 127 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.
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.postV2Feedback();
console.log(result);
}
run();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 });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.
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.
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.