Portkey provides a robust and secure gateway to integrate various Large Language Models (LLMs) into applications, including Cohere’s generation, embedding, and reranking endpoints.With Portkey, take advantage of features like fast AI gateway access, observability, prompt management, and more, while securely managing API keys through Model Catalog.
from portkey_ai import Portkey# 1. Install: pip install portkey-ai# 2. Add @cohere provider in model catalog# 3. Use it:portkey = Portkey(api_key="PORTKEY_API_KEY")response = portkey.chat.completions.create( model="@cohere/command-r-plus", messages=[{"role": "user", "content": "Say this is a test"}])print(response.choices[0].message.content)
Tip: You can also set provider="@cohere" in Portkey() and use just model="command-r-plus" in the request.
Use Cohere reranking with the portkey.post method and the body expected by Cohere’s reranking API:
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from portkey_ai import Portkeyportkey = Portkey( api_key="PORTKEY_API_KEY", provider="@cohere") response = portkey.post( "/rerank", return_documents=False, max_chunks_per_doc=10, model="rerank-english-v2.0", query="What is the capital of the United States?", documents=[ "Carson City is the capital city of the American state of Nevada.", "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.", "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.", "Capital punishment (the death penalty) has existed in the United States since before the United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states." ] )print(response)
Manage all prompt templates to Cohere in the Prompt Library. All current Cohere models are supported, and you can easily test different prompts.Use the portkey.prompts.completions.create interface to use the prompt in an application.