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Cohere Integration

Integrate Cohere's enterprise AI platform to automate NLP tasks like intelligent search, content generation, and data classification. This action pack guides you through setting up the Python SDK and generating text using Cohere's powerful chat models.

beginner10 min3 steps
The play
  1. Install Cohere SDK
    Install the Cohere Python library using pip to access its API functionalities. Ensure you have Python 3.8+ installed.
  2. Set Up API Key
    Obtain a Cohere API key by signing up on the Cohere website. Then, set this key as an environment variable named `COHERE_API_KEY` for secure authentication. Replace `YOUR_COHERE_API_KEY` with your actual key.
  3. Initialize Client & Generate Text
    Initialize the Cohere client using the environment variable. Then, use the `co.chat()` method with a specified model and message to generate a human-like text response.
Starter code
import cohere
import os

# 1. Ensure your Cohere API key is set as an environment variable:
#    export COHERE_API_KEY="YOUR_COHERE_API_KEY"
#    (Replace YOUR_COHERE_API_KEY with your actual key)

try:
    co = cohere.Client(os.getenv("COHERE_API_KEY"))
    if co.api_key is None:
        raise ValueError("COHERE_API_KEY environment variable not set.")

    print("Cohere client initialized successfully.")

    # 2. Generate text using the chat model
    response = co.chat(
        model="command-r-plus", # You can try other models like 'command-r'
        message="What are the key benefits of integrating an enterprise AI platform like Cohere?",
        temperature=0.7,
        max_tokens=200
    )

    print("\n--- Cohere Chat Response ---")
    print(response.text)

except ValueError as ve:
    print(f"Error: {ve}")
    print("Please set the COHERE_API_KEY environment variable.")
except Exception as e:
    print(f"An unexpected error occurred: {e}")
Cohere Integration — Action Pack