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Documentation of the API/updates

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Updates

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API Endpoints

Here are some example codes to interact with the API:

Note: By using our API, you acknowledge and agree to the following terms regarding the data you provide:

• Data Collection: This application may log the following data through the Gradio endpoint or the API endpoint: message requests (including messages, responses, model settings, and images sent along with the messages), images that were generated (including only the prompt and the image), search tool calls (including query, search results, summaries, and output responses), and moderation checks (including input and output).
• Data Retention and Removal: Data is retained until further notice or until a specific request for removal is made.
• Data Usage: The collected data may be used for various purposes, including but not limited to, administrative review of logs, AI training, and publication as a dataset.
• Privacy: Please avoid sharing any personal information.

By continuing to use our API, you explicitly consent to the collection, use, and potential sharing of your data as described above. If you disagree with our data collection, usage, and sharing practices, we advise you not to use our API.

# Example 1: Using OpenAI Python client from openai import OpenAI client = OpenAI( # Or use the `OPENAI_BASE_URL` env var base_url="https://api.cow.rip/api/v1", # You can get a key by logging in at https://api.cow.rip/api/v1/oauth/hf api_key="..." ) completion = client.ChatCompletion.acreate( model="gpt-4o-mini", messages=[ { "role": "user", "content": "Say this is a test", } ], ) print(completion.choices[0].message.content)

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# Example 2: Using OpenAI Python client with different syntax import openai openai.api_key = '...' # You can get a key by logging in at https://api.cow.rip/api/v1/oauth/hf openai.base_url = "https://chat.cow.rip/api/v1" # Or use the `OPENAI_BASE_URL` env var completion = openai.ChatCompletion.acreate( model="gpt-4o-mini", messages=[ { "role": "user", "content": "Say this is a test", }, ], ) print(completion.choices[0].message.content)

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// For Node.js: const openai = new (require('openai')).OpenAI({ baseURL: "https://api.cow.rip/api/v1", // Or use the `OPENAI_BASE_URL` env var apiKey: "..." // You can get a key by logging in at https://api.cow.rip/api/v1/oauth/hf }); (async()=>{ var completion = await openai.chat.completions.create({ model: "gpt-4o-mini", messages=[ { "role": "user", "content": "Say this is a test", } ] }); console.log(completion.choices[0].message.content) })()

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