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Using Firefunction V2 on Fireworks AI

Implementation guide · Firefunction · Fireworks AI

Serverless

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call firefunction-v2 — see the documentation for request format.
  3. 3
    You'll be billed Free/1M input, Free/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
firefunction-v2

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="firefunction-v2",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Fireworks AI

The Fireworks AI Platform is a comprehensive generative AI solution that enables developers and businesses to build, customize, and deploy AI models at scale. It supports a diverse range of cutting-edge open-source models, including Meta's Llama and Stable Diffusion, for tasks such as natural language processing and image generation. The platform's serverless architecture allows for quick deployment without extensive infrastructure management, operating on a pay-as-you-go basis. Users can fine-tune models using parameter-efficient techniques, ensuring tailored AI solutions that maintain high performance for specific business needs. Optimized for high throughput and low latency, the platform can handle trillions of inferences daily while providing a seamless user experience. It offers tools for efficient model maintenance and iteration, allowing businesses to focus on innovation rather than complex AI model management. The platform's design facilitates easy integration and customization, enabling organizations to effectively scale their AI-powered solutions. With its cost-efficient approach and comprehensive features, the Fireworks AI Platform empowers businesses to leverage advanced AI capabilities for enhanced productivity and competitive advantage in their respective markets.

Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment. Their platform is designed to optimize the development and serving of generative AI applications, enabling businesses to quickly build and scale AI-powered solutions. Fireworks.ai emphasizes minimizing the cost to serve while maximizing the potential of generative AI technologies, making advanced AI capabilities more accessible and practical for a wide range of applications.

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokensFree
Output tokensFree

Capabilities

No model capability flags are currently sourced.

About Firefunction V2

Firefunction-v2, developed by Fireworks AI, is an open-source function-calling large language model built on the Llama 3-70b base model. It excels in conversational and instruction-following tasks, with enhanced capabilities for function calling. Notably, it supports parallel function calling, handling up to 30 function specifications, and smoothly integrates chat with function execution. It rivals GPT-4o in function-calling performance while being more cost-effective and offering quicker responses. Its 8k context window and OpenAI-compatible API make it easily integratable into diverse applications 123.

Model Specs

Released2024-01-29
Parameters70B
Context32K
ArchitectureDecoder Only

Provider

Fireworks AI
Fireworks AI

San Mateo, California, United States