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Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Cohere’s generation, embedding, and other endpoints. With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.
Provider Slug. cohere

Portkey SDK Integration with Cohere

Portkey provides a consistent API to interact with models from Cohere. To integrate Cohere with Portkey:

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with Cohere’s models through Portkey’s gateway.

2. Initialize Portkey with the Virtual Key

To use Cohere with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

3. Invoke Chat Completions with Cohere

Use the Portkey instance to send requests to Cohere’s models. You can also override the virtual key directly in the API call if needed.

Managing Cohere Prompts

You can manage all prompts to Cohere in the Prompt Library. All the current models of Cohere are supported and you can easily start testing different prompts. Once you’re ready with your prompt, you can use the portkey.prompts.completions.create interface to use the prompt in your application.

Other Cohere Endpoints

Embeddings

Embedding endpoints are natively supported within Portkey like this:

Re-ranking

You can use cohere reranking the portkey.post method with the body expected by Cohere’s reranking API.

Next Steps

The complete list of features supported in the SDK are available on the link below.

SDK

You’ll find more information in the relevant sections:
  1. Add metadata to your requests
  2. Add gateway configs to your Cohere requests
  3. Tracing Cohere requests
  4. Setup a fallback from OpenAI to Cohere APIs
Last modified on April 8, 2026