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apps/opik-documentation/documentation/docs/tracing/integrations/deepseek.mdx
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| --- | ||
| sidebar_label: DeepSeek | ||
| description: Describes how to track DeepSeek LLM calls using Opik | ||
| pytest_codeblocks_skip: false | ||
| --- | ||
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| import Tabs from "@theme/Tabs"; | ||
| import TabItem from "@theme/TabItem"; | ||
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| # Deepseek | ||
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| Deepseek is an Open-Source LLM model that rivals o1 from OpenAI. You can learn more about DeepSeek on [Github](https://github.com/deepseek-ai/DeepSeek-R1) or | ||
| on [deepseek.com](https://www.deepseek.com/). | ||
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| In this guide, we will showcase how to track DeepSeek calls using Opik. As DeepSeek is open-source, there are many way to run and call the model. We will focus on how to integrate Opik with the following hosting options: | ||
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| 1. DeepSeek API | ||
| 2. Fireworks AI API | ||
| 3. Together AI API | ||
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| ## Getting started | ||
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| ### Configuring your hosting provider | ||
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| Before you can start tracking DeepSeek calls, you need to get the API key from your hosting provider. | ||
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| <Tabs> | ||
| <TabItem value="DeepSeek API" title="DeepSeek API"> | ||
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| In order to use the DeepSeek API, you will need to have an API key. You can register for an account on [DeepSeek.com](https://chat.deepseek.com/sign_up). | ||
| Once you have signed up, you can register for an API key. | ||
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| </TabItem> | ||
| <TabItem value="Fireworks AI API" title="Fireworks AI API"> | ||
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| You can log into Fireworks AI on [fireworks.ai](https://fireworks.ai/). You can then access your API key on the [API keys](https://fireworks.ai/account/api-keys) page. | ||
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| </TabItem> | ||
| <TabItem value="Together AI API" title="Together AI API"> | ||
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| You can log into Together AI on [together.ai](https://together.ai/). You can then access your API key on the [API keys](https://api.together.ai/settings/api-keys) page. | ||
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| </TabItem> | ||
| </Tabs> | ||
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| ### Configuring Opik | ||
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| ```bash | ||
| pip install --upgrade --quiet opik | ||
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| opik configure | ||
| ``` | ||
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| :::tip | ||
| Opik is fully open-source and can be run locally or through the Opik Cloud platform. You can learn more about hosting Opik on your own infrastructure in the [self-hosting guide](/docs/self-host/overview.md). | ||
| ::: | ||
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| ## Tracking DeepSeek calls | ||
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| The easiest way to call DeepSeek with Opik is to use the OpenAI Python SDK and the `track_openai` decorator. This approach is compatible with the DeepSeek API, Fireworks AI API and Together AI API: | ||
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| <Tabs> | ||
| <TabItem value="DeepSeek API" title="DeepSeek API"> | ||
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| ```python | ||
| from opik.integrations.openai import track_openai | ||
| from openai import OpenAI | ||
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| # Create the OpenAI client that points to DeepSeek API | ||
| client = OpenAI(api_key="<DeepSeek API Key>", base_url="https://api.deepseek.com") | ||
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| # Wrap your OpenAI client to track all calls to Opik | ||
| client = track_openai(client) | ||
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| # Call the API | ||
| response = client.chat.completions.create( | ||
| model="deepseek-chat", | ||
| messages=[ | ||
| {"role": "system", "content": "You are a helpful assistant"}, | ||
| {"role": "user", "content": "Hello"}, | ||
| ], | ||
| stream=False | ||
| ) | ||
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| print(response.choices[0].message.content) | ||
| ``` | ||
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| </TabItem> | ||
| <TabItem value="Fireworks AI API" title="Fireworks AI API"> | ||
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| ```python | ||
| from opik.integrations.openai import track_openai | ||
| from openai import OpenAI | ||
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| # Create the OpenAI client that points to DeepSeek API | ||
| client = OpenAI(api_key="<Firebworks AI API Key>", base_url="https://api.fireworks.ai/inference/v1") | ||
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| # Wrap your OpenAI client to track all calls to Opik | ||
| client = track_openai(client) | ||
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| # Call the API | ||
| response = client.chat.completions.create( | ||
| model="accounts/fireworks/models/deepseek-v3", | ||
| messages=[ | ||
| {"role": "system", "content": "You are a helpful assistant"}, | ||
| {"role": "user", "content": "Hello"}, | ||
| ], | ||
| stream=False | ||
| ) | ||
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| print(response.choices[0].message.content) | ||
| ``` | ||
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| </TabItem> | ||
| <TabItem value="Together AI API" title="Together AI API"> | ||
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| ```python | ||
| from opik.integrations.openai import track_openai | ||
| from openai import OpenAI | ||
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| # Create the OpenAI client that points to Together AI API | ||
| client = OpenAI(api_key="<Together AI API Key>", base_url="https://api.together.xyz/v1") | ||
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| # Wrap your OpenAI client to track all calls to Opik | ||
| client = track_openai(client) | ||
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| # Call the API | ||
| response = client.chat.completions.create( | ||
| model="deepseek-ai/DeepSeek-R1", | ||
| messages=[ | ||
| {"role": "system", "content": "You are a helpful assistant"}, | ||
| {"role": "user", "content": "Hello"}, | ||
| ], | ||
| stream=False | ||
| ) | ||
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| print(response.choices[0].message.content) | ||
| ``` | ||
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| </TabItem> | ||
| </Tabs> |
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