google

/

gemma-2-27b-it

like 560

Follow

Google 47.5k

Build Real-Time Conversational Agents with 56+ Models via NexaAPI

Inspired by Google's Gemini 2.5 Flash Live API launch — here's how to build the same real-time conversational agent with access to GPT-4o, Claude, Llama, and 56+ models via one unified API.

Quick Start

from openai import OpenAI

# One line change from OpenAI SDK — same code, 56+ models
client = OpenAI(
    api_key="YOUR_NEXA_API_KEY",
    base_url="https://api.nexaapi.com/v1"
)

# Streaming conversational agent
stream = client.chat.completions.create(
    model="gpt-4o",  # swap: claude-3-5-sonnet, llama-3.3-70b, mistral-large...
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello! Tell me about real-time AI."}
    ],
    stream=True,
    max_tokens=300
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

Model Switcher — One Line Change

# Try different models with identical code:
for model in ["gpt-4o", "claude-3-5-sonnet-20241022", "llama-3.3-70b-instruct"]:
    response = client.chat.completions.create(
        model=model,  # ← only this line changes
        messages=[{"role": "user", "content": "What makes a great conversational AI?"}],
        max_tokens=100
    )
    print(f"{model}: {response.choices[0].message.content[:150]}")

Pricing Comparison

Resources

• 🌐 NexaAPI: https://nexa-api.com (free tier, no credit card)
• 🐙 GitHub: https://github.com/diwushennian4955/realtime-conversational-agent-nexaapi
• 📖 Blog: https://nexa-api.com/blog/gemini-live-conversational-agent-nexaapi
• 📓 Colab: Full notebook with model comparison and cost estimator