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← GitLab + Langfuse integrations

Log Trace with Langfuse API on New Audit Event (Instant) from GitLab API

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New Audit Event (Instant) from the GitLab API
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Log Trace with the Langfuse API
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Getting Started

This integration creates a workflow with a GitLab trigger and Langfuse action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Audit Event (Instant) trigger
    1. Connect your GitLab account
    2. Select a Group Path
  3. Configure the Log Trace action
    1. Connect your Langfuse account
    2. Configure Name
    3. Configure Input
    4. Configure Output
    5. Optional- Configure User ID
    6. Optional- Select a Session ID
    7. Optional- Configure Release
    8. Optional- Configure Version
    9. Optional- Configure Metadata
    10. Optional- Configure Tags
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

New Audit Event (Instant) on GitLab
Description:Emit new event when a new audit event is created
Version:0.1.3
Key:gitlab-new-audit-event

GitLab Overview

The GitLab API provides programmatic access to your GitLab projects, allowing you to automate common tasks, manage issues, merge requests, and more. With the GitLab API on Pipedream, you can create customized workflows that integrate with other services, streamline your development process, and enhance project management. By leveraging the power of serverless, you can set up triggers for GitLab events and perform actions across a variety of apps without managing infrastructure.

Trigger Code

import gitlab from "../../gitlab.app.mjs"; import base from "../common/base.mjs"; import { create_destination, list_destinations, delete_destination, } from "./common-queries.mjs"; export default { ...base, key: "gitlab-new-audit-event", name: "New Audit Event (Instant)", description: "Emit new event when a new audit event is created", version: "0.1.3", dedupe: "unique", type: "source", props: { gitlab, http: { // doesn't include base because base has a project, which we don't need type: "$.interface.http", customResponse: true, }, groupPath: { propDefinition: [ gitlab, "groupPath", ], }, }, hooks: { ...base.hooks, async activate() { console.log("Activating streaming audit events."); console.log(`Event destination: ${this.http.endpoint}`); console.log(`Group name: ${this.groupPath}`); // the variable must be named "query" to work with JSON.stringify and GraphQL const query = create_destination(this.http.endpoint, this.groupPath); try { await this.gitlab._makeRequest({ url: `https://${this._getBaseApiUrl()}/api/graphql`, method: "POST", headers: { "Content-Type": "application/json", "Accept": "application/json", "Authorization": `Bearer ${this.gitlab.$auth.oauth_access_token}`, }, data: query, }); } catch (err) { console.log(`Error thrown during activation: ${JSON.stringify(err)}`); } }, async deactivate() { console.log("Deactivating streaming audit events."); console.log(`Event destiniation: ${this.http.endpoint}`); console.log(`Group name: ${this.groupPath}`); // the variable must be named "query" to work with JSON.stringify and GraphQL var query = list_destinations(this.groupPath); try { const data = await fetch(`https://${this._getBaseApiUrl()}/api/graphql`, { method: "POST", headers: { "Content-Type": "application/json", "Accept": "application/json", "Authorization": `Bearer ${this.gitlab.$auth.oauth_access_token}`, }, body: JSON.stringify({ query, }), }) .then((r) => r.json()); console.log("Group list received."); console.log(`Received: ${JSON.stringify(data)}`); const todelete = data.data.group.externalAuditEventDestinations .nodes.filter((item) => item.destinationUrl == this.http.endpoint)[0].id; console.log(`Deleting object ID: ${JSON.stringify(todelete)}`); query = delete_destination(todelete); await fetch(`https://${this._getBaseApiUrl()}/api/graphql`, { method: "POST", headers: { "Content-Type": "application/json", "Accept": "application/json", "Authorization": `Bearer ${this.gitlab.$auth.oauth_access_token}`, }, body: JSON.stringify({ query, }), }) .then((r) => r.json()); console.log("Done deactivating!"); } catch (err) { console.log(`Error thrown during deactivation: ${JSON.stringify(err)}`); } }, }, methods: { ...base.methods, generateMeta(event) { const id = event.id; return { id, summary: `New Audit Event: ${id}`, ts: +new Date(), }; }, emitEvent(event) { const meta = this.generateMeta(event); this.$emit(event, meta); }, isValidSource() { // GitLab doesn't currently send a x-gitlab-token // with streaming audit events return true; }, isValidEvent() { return true; }, }, };

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
GitLabgitlabappThis component uses the GitLab app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
Group PathgroupPathstringSelect a value from the drop down menu.

Trigger Authentication

GitLab uses OAuth authentication. When you connect your GitLab account, Pipedream will open a popup window where you can sign into GitLab and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any GitLab API.

Pipedream requests the following authorization scopes when you connect your account:

apiread_userread_repositorywrite_repositoryread_registrysudoopenidprofileemail

About GitLab

GitLab is the most comprehensive AI-powered DevSecOps Platform.

Action

Log Trace on Langfuse
Description:Log a new trace in LangFuse with details. [See the documentation](https://api.reference.langfuse.com/#tag/ingestion/POST/api/public/ingestion).
Version:0.0.2
Key:langfuse-log-trace

Action Code

import { v4 as uuid } from "uuid"; import app from "../../langfuse.app.mjs"; import constants from "../../common/constants.mjs"; import utils from "../../common/utils.mjs"; export default { key: "langfuse-log-trace", name: "Log Trace", description: "Log a new trace in LangFuse with details. [See the documentation](https://api.reference.langfuse.com/#tag/ingestion/POST/api/public/ingestion).", version: "0.0.2", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { app, name: { type: "string", label: "Name", description: "The name of the trace", }, input: { type: "string", label: "Input", description: "The input of the trace", }, output: { type: "string", label: "Output", description: "The output of the trace", }, userId: { type: "string", label: "User ID", description: "The ID of the user", optional: true, }, sessionId: { label: "Session ID", description: "The ID of the session", optional: true, propDefinition: [ app, "objectId", () => ({ objectType: constants.OBJECT_TYPE.SESSION, }), ], }, release: { type: "string", label: "Release", description: "The release of the trace", optional: true, }, version: { type: "string", label: "Version", description: "The version of the trace", optional: true, }, metadata: { type: "string", label: "Metadata", description: "The metadata of the trace", optional: true, }, tags: { type: "string[]", label: "Tags", description: "The tags of the trace", optional: true, }, }, methods: { batchIngestion(args = {}) { return this.app.post({ path: "/ingestion", ...args, }); }, }, async run({ $ }) { const { batchIngestion, name, userId, input, output, sessionId, release, version, metadata, tags, } = this; const timestamp = new Date().toISOString(); const id = uuid(); const response = await batchIngestion({ $, data: { batch: [ { id, timestamp, type: constants.INGESTION_TYPE.TRACE_CREATE, body: { id, timestamp, name, userId, input: utils.parseJson(input), output: utils.parseJson(output), sessionId, release, version, metadata: utils.parseJson(metadata), tags, public: true, }, }, ], }, }); $.export("$summary", "Successfully logged a new trace"); return response; }, };

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
LangfuseappappThis component uses the Langfuse app.
Namenamestring

The name of the trace

Inputinputstring

The input of the trace

Outputoutputstring

The output of the trace

User IDuserIdstring

The ID of the user

Session IDsessionIdstringSelect a value from the drop down menu.
Releasereleasestring

The release of the trace

Versionversionstring

The version of the trace

Metadatametadatastring

The metadata of the trace

Tagstagsstring[]

The tags of the trace

Action Authentication

Langfuse uses API keys for authentication. When you connect your Langfuse account, Pipedream securely stores the keys so you can easily authenticate to Langfuse APIs in both code and no-code steps.

To generate a new API Key:

  • Access Langfuse homepage, select a project, click Go to Project
  • On the bottom left, click Settings
  • On the Project Settings page, click API Keys
  • On the API Keys section, click Create new API keys
  • Copy the Public Key and Secret Key to the respective fields below

About Langfuse

Open source LLM engineering platform. Traces, evals, prompt management and metrics to debug and improve your LLM application.

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