feat: add new Opik Tracer (#6928)
* feat: add new Opik Tracer This PR adds a new Tracer to sends traces and spans to Opik. * Fix typo in docs * Optimize Opik integration to reduce number of HTTP calls * Add session_id and user_id to the Opik tracer * Check Opik configuration on the client side before making a remote check * Tackle documentation reviews * Apply suggestions from code review Co-authored-by: Jacques Verré <jverre@gmail.com> * Fix one of the doc link * Explicitely check for Opik environment variables before enabling the Opik tracer * test: add opik tracing unit tests --------- Co-authored-by: Nadir J <31660040+NadirJ@users.noreply.github.com> Co-authored-by: Jacques Verré <jverre@gmail.com> Co-authored-by: Ítalo Johnny <italojohnnydosanjos@gmail.com>
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@ -61,11 +61,11 @@ Replace `SECRET_KEY`, `PUBLIC_KEY`, and `HOST_URL` with the API key information
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1. Start Langflow in the same terminal or environment where you set the environment variables:
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```bash
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python -m langflow run
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```
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```bash
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uv run langflow run
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```
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2. In Langflow, open and existing project, and then run a flow.
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2. In Langflow, open an existing project, and then run a flow.
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## View tracing data in Langfuse
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52
docs/docs/Integrations/integrations-opik.md
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52
docs/docs/Integrations/integrations-opik.md
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@ -0,0 +1,52 @@
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---
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title: Opik
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slug: /integrations-opik
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# Integrate Opik with Langflow
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[Opik](https://www.comet.com/site/products/opik/) is an open-source platform designed for evaluating, testing, and monitoring large language model (LLM) applications. Developed by Comet, it aims to facilitate more intuitive collaboration, testing, and monitoring of LLM-based applications.
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This guide walks you through how to configure Langflow to collect [tracing](https://www.comet.com/docs/opik/tracing/log_traces) data about your flow executions and automatically send the data to Opik.
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## Prerequisites
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- A project in Langflow with a runnable flow
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- An Open-Source Opik server or an Opik Cloud account - You can learn more about the differences [here](https://www.comet.com/docs/opik/faq#what-is-the-difference-between-opik-cloud-and-the-open-source-opik-platform-)
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- If you are using Opik Cloud, you will also need your [Opik API key](https://www.comet.com/docs/opik/faq#where-can-i-find-my-opik-api-key-)
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## Set your Opik configuration as environment variables
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Call the CLI `opik configure` to save your Opik configuration in the same environment where you run Langflow.
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```bash
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opik configure
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```
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For self-hosted Opik, you can also configure it using the Opik CLI by running the following command:
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```bash
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opik configure --use_local
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```
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See the [Opik documentation](https://www.comet.com/docs/opik/tracing/sdk_configuration) for more ways to configure Opik SDKs.
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## Start Langflow and run a flow
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1. Start Langflow in the same terminal or environment where you set the environment variables:
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```bash
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uv run langflow run
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```
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2. In Langflow, open an existing project, and then run a flow.
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3. Navigate to your Opik project dashboard and view the collected tracing data.
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## Disable the Opik integration
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To disable the Opik integration, remove the environment variables you set in the previous steps and restart Langflow.
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@ -147,6 +147,7 @@ module.exports = {
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"Integrations/integrations-langfuse",
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"Integrations/integrations-langsmith",
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"Integrations/integrations-langwatch",
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"Integrations/integrations-opik",
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{
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type: "doc",
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id: "Integrations/integrations-mcp",
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