Cohere v2 Python

Cohere v2 Python

Overview

Cohere's v2 Chat API provides powerful conversational AI capabilities with a specialized focus on structured outputs through JSON Schema mode. This skill covers entity extraction, data validation, and integration patterns for building production-ready systems that require consistent, validated responses from LLMs.

When to Use This Skill

Apply this skill when:

• Extracting structured entities from unstructured text (names, dates, locations, organizations)
• Building Named Entity Recognition (NER) systems
• Implementing data extraction pipelines with validated outputs
• Requiring JSON responses that conform to specific schemas
• Processing documents for information extraction
• Building classification systems with constrained outputs
• Integrating LLM responses with downstream databases or APIs

Core Capabilities

1. Basic Chat API

Initialize and use the Cohere Client for conversational tasks:

import cohere

co = cohere.ClientV2(api_key="<YOUR API KEY>")

response = co.chat(
    model="command-a-03-2025",
    messages=[
        {"role": "user", "content": "Summarize the key features of quantum computing."}
    ],
)

print(response.message.content[0].text)

Available models:

• command-a-03-2025 - Latest generation model