Developer-friendly & type-safe Typescript SDK specifically catered to leverage inkeep-analytics-typescript API.
Important
This SDK is not yet ready for production use. To complete setup please follow the steps outlined in your workspace. Delete this section before > publishing to a package manager.
Inkeep Analytics API: The Inkeep Analytics API provides endpoints for managing conversations, feedback, events, and queries. For details on authentication, see authentication documentation
The SDK can be installed with either npm, pnpm, bun or yarn package managers.
npm add @inkeep/inkeep-analytics
# Install optional peer dependencies if you plan to use React hooks
npm add @tanstack/react-query react react-dom
pnpm add @inkeep/inkeep-analytics
# Install optional peer dependencies if you plan to use React hooks
pnpm add @tanstack/react-query react react-dom
bun add @inkeep/inkeep-analytics
# Install optional peer dependencies if you plan to use React hooks
bun add @tanstack/react-query react react-dom
yarn add @inkeep/inkeep-analytics zod
# Install optional peer dependencies if you plan to use React hooks
yarn add @tanstack/react-query react react-dom
# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.
Note
This package is published with CommonJS and ES Modules (ESM) support.
This SDK is also an installable MCP server where the various SDK methods are exposed as tools that can be invoked by AI applications.
Node.js v20 or greater is required to run the MCP server from npm.
Claude installation steps
Add the following server definition to your claude_desktop_config.json
file:
{
"mcpServers": {
"InkeepAnalytics": {
"command": "npx",
"args": [
"-y", "--package", "@inkeep/inkeep-analytics",
"--",
"mcp", "start",
"--api-integration-key", "..."
]
}
}
}
Cursor installation steps
Create a .cursor/mcp.json
file in your project root with the following content:
{
"mcpServers": {
"InkeepAnalytics": {
"command": "npx",
"args": [
"-y", "--package", "@inkeep/inkeep-analytics",
"--",
"mcp", "start",
"--api-integration-key", "..."
]
}
}
}
You can also run MCP servers as a standalone binary with no additional dependencies. You must pull these binaries from available Github releases:
curl -L -o mcp-server \
https://github.com/{org}/{repo}/releases/download/{tag}/mcp-server-bun-darwin-arm64 && \
chmod +x mcp-server
If the repo is a private repo you must add your Github PAT to download a release -H "Authorization: Bearer {GITHUB_PAT}"
.
{
"mcpServers": {
"Todos": {
"command": "./DOWNLOAD/PATH/mcp-server",
"args": [
"start"
]
}
}
}
For a full list of server arguments, run:
npx -y --package @inkeep/inkeep-analytics -- mcp start --help
For supported JavaScript runtimes, please consult RUNTIMES.md.
import { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics({
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
const result = await inkeepAnalytics.topSearchQueries({});
console.log(result);
}
run();
This SDK supports the following security scheme globally:
Name | Type | Scheme | Environment Variable |
---|---|---|---|
apiIntegrationKey |
http | HTTP Bearer | INKEEPANALYTICS_API_INTEGRATION_KEY |
To authenticate with the API the apiIntegrationKey
parameter must be set when initializing the SDK client instance. For example:
import { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics({
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
const result = await inkeepAnalytics.topSearchQueries({});
console.log(result);
}
run();
Some operations in this SDK require the security scheme to be specified at the request level. For example:
import { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics();
async function run() {
const result = await inkeepAnalytics.conversations.log({}, {
type: "support_copilot",
messages: [
{
role: "<value>",
userProperties: {
identificationType: "COOKIED",
},
},
],
});
console.log(result);
}
run();
Available methods
- getConversationByExternalId - Get Conversation by External ID
- log - Log Conversation
- list - Get All Conversations
- get - Get Conversation
- delete - Delete Conversation
- log - Log Event
- submit - Submit Feedback
- list - Get All Feedback
- getFeedbackById - Get Feedback by ID
- topSearchQueries - Top Search Queries
- weeklySearchUsers - Weekly Search Users
- conversations - Query Conversations
- queryEvents - Query Events
- queryFeedback - Query Feedback
- querySemanticThreads - Query Semantic Threads
- exportSemanticThreadsQueryResults - Export Semantic Threads Query Results
- queryPropertyKeys - Query Property Keys
- queryPropertyValues - Query Property Values
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
conversationGetConversationByExternalId
- Get Conversation by External IDconversationsDelete
- Delete ConversationconversationsGet
- Get ConversationconversationsList
- Get All ConversationsconversationsLog
- Log ConversationeventsLog
- Log EventfeedbackGetFeedbackById
- Get Feedback by IDfeedbackList
- Get All FeedbackfeedbackSubmit
- Submit FeedbackqueryConversations
- Query ConversationsqueryExportSemanticThreadsQueryResults
- Export Semantic Threads Query ResultsqueryQueryEvents
- Query EventsqueryQueryFeedback
- Query FeedbackqueryQueryPropertyKeys
- Query Property KeysqueryQueryPropertyValues
- Query Property ValuesqueryQuerySemanticThreads
- Query Semantic ThreadstopSearchQueries
- Top Search QueriesweeklySearchUsers
- Weekly Search Users
React hooks built on TanStack Query are included in this SDK. These hooks and the utility functions provided alongside them can be used to build rich applications that pull data from the API using one of the most popular asynchronous state management library.
To learn about this feature and how to get started, check REACT_QUERY.md.
Warning
This feature is currently in preview and is subject to breaking changes within the current major version of the SDK as we gather user feedback on it.
Available React hooks
useConversationGetConversationByExternalId
- Get Conversation by External IDuseConversationsDeleteMutation
- Delete ConversationuseConversationsGet
- Get ConversationuseConversationsList
- Get All ConversationsuseConversationsLogMutation
- Log ConversationuseEventsLogMutation
- Log EventuseFeedbackGetFeedbackById
- Get Feedback by IDuseFeedbackList
- Get All FeedbackuseFeedbackSubmitMutation
- Submit FeedbackuseQueryConversationsMutation
- Query ConversationsuseQueryExportSemanticThreadsQueryResultsMutation
- Export Semantic Threads Query ResultsuseQueryQueryEventsMutation
- Query EventsuseQueryQueryFeedbackMutation
- Query FeedbackuseQueryQueryPropertyKeysMutation
- Query Property KeysuseQueryQueryPropertyValuesMutation
- Query Property ValuesuseQueryQuerySemanticThreadsMutation
- Query Semantic ThreadsuseTopSearchQueries
- Top Search QueriesuseWeeklySearchUsers
- Weekly Search Users
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 { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics({
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
const result = await inkeepAnalytics.topSearchQueries({}, {
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 { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics({
retryConfig: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
const result = await inkeepAnalytics.topSearchQueries({});
console.log(result);
}
run();
This table shows properties which are common on error classes. For full details see error classes.
Property | Type | Description |
---|---|---|
error.name |
string |
Error class name eg APIError |
error.message |
string |
Error message |
error.statusCode |
number |
HTTP status code eg 404 |
error.contentType |
string |
HTTP content type eg application/json |
error.body |
string |
HTTP body. Can be empty string if no body is returned. |
error.rawResponse |
Response |
Raw HTTP response. Access to headers and more. |
error.data$ |
Optional. Some errors may contain structured data. See Error Classes. |
import { InkeepAnalytics } from "@inkeep/inkeep-analytics";
import * as errors from "@inkeep/inkeep-analytics/models/errors";
const inkeepAnalytics = new InkeepAnalytics({
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
try {
const result = await inkeepAnalytics.topSearchQueries({});
console.log(result);
} catch (error) {
// Depending on the method different errors may be thrown
if (error instanceof errors.BadRequest) {
console.log(error.message);
console.log(error.data$.title); // string
console.log(error.data$.status); // number
console.log(error.data$.detail); // string
console.log(error.data$.instance); // string
console.log(error.data$.requestId); // string
}
// Fallback error class, if no other more specific error class is matched
if (error instanceof errors.APIError) {
console.log(error.message);
console.log(error.statusCode);
console.log(error.body);
console.log(error.rawResponse.headers);
}
}
}
run();
BadRequest
: Bad Request. Status code400
.Unauthorized
: Unauthorized. Status code401
.Forbidden
: Forbidden. Status code403
.UnprocessableEntity
: Unprocessable Entity. Status code422
.InternalServerError
: Internal Server Error. Status code500
.APIError
: The fallback error class, if no other more specific error class is matched.SDKValidationError
: Type mismatch between the data returned from the server and the structure expected by the SDK. This can also be thrown for invalid method arguments. Seeerror.rawValue
for the raw value anderror.pretty()
for a nicely formatted multi-line string.- 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.
- Less common errors, applicable to a subset of methods:
NotFound
: Not Found. Status code404
. Applicable to 6 of 18 methods.*
* 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 { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const inkeepAnalytics = new InkeepAnalytics({
serverURL: "https://api.analytics.inkeep.com",
apiIntegrationKey: process.env["INKEEPANALYTICS_API_INTEGRATION_KEY"] ?? "",
});
async function run() {
const result = await inkeepAnalytics.topSearchQueries({});
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 use the "beforeRequest"
hook to to add a
custom header and a timeout to requests and how to use the "requestError"
hook
to log errors:
import { InkeepAnalytics } from "@inkeep/inkeep-analytics";
import { HTTPClient } from "@inkeep/inkeep-analytics/lib/http";
const httpClient = new HTTPClient({
// fetcher takes a function that has the same signature as native `fetch`.
fetcher: (request) => {
return fetch(request);
}
});
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 InkeepAnalytics({ 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 { InkeepAnalytics } from "@inkeep/inkeep-analytics";
const sdk = new InkeepAnalytics({ debugLogger: console });
You can also enable a default debug logger by setting an environment variable INKEEPANALYTICS_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.