OpenAI gpt-oss-120b & 20b, open weight models designed for reasoning, agentic tasks, and versatile developer use cases is now available! Try Now

Function Calling & AI Agents

Turn Language into Action

Build reliable agents. Connect LLMs to real tools, APIs, and workflows and scale them in production. Execute with certainty.

Try Now
Problem

LLMs generate language, not actions.

Agents that fail to reliably connect to APIs, databases and internal systems block automation and slow adoption.

Inconsistent function calls cause costly failures

Unreliable API and tool calls cause errors and manual fixes, blocking automation.

Limited orchestration stalls critical workflows

Without multi-step logic, AI can’t handle complex tasks, creating bottlenecks.

Rigid integrations block scale and agility

Inflexible systems increase risk, delay innovation, and drive up costs.

Solution

Reliable, scalable function calling for real-time execution

Connect LLM via custom functions or MCP endpoints to databases and workflows. Drive precise, real-time actions at scale.

Pre-built Function Calling API

Ready-to-use API with schema validation and error handling for accurate, trusted tool and API calls.

Multi-Step & Multi-Function Workflows

Easily chain multiple functions with branching logic and error handling to automate complex tasks.

Voice-to-Action Pipelines

Convert speech into structured, actionable commands by combining Fireworks audio AI with function calling.

Flexible Deployment Options

Deploy on our virtual private cloud or on our own cloud. Native integrations with AWS and GCP marketplace. Bring Your Own Compute (BYOC) setups tailored to your infrastructure needs.

Scalable Inference Infrastructure

Run agents at scale with GPU autoscaling and support for fine-tuned open models like Llama 3.1 and Qwen 2.5.

Structured Outputs

Generate grammar-constrained JSON outputs that ensure reliable integration and simplify debugging.

Model Library
Model Library

Recommended Models

Fireworks supports top open models on day one with early access, real-world testing, and infrastructure built for production use. For this use case, we recommend:

  • Qwen2.5-72B-Instruct (Medium)
  • Qwen2.5 7B-32B (Small / Medium)
  • Llama 3.1 8B (Small)
Find Your Model

Performance & Impact

Accelerate workflows with real-time, low-latency function execution.

Reduce costly failures with schema-validated and consistent calls.

Scale seamlessly during peak loads with GPU-optimized infrastructure.

Lower operational costs through efficient autoscaling and model use.

Function Calling & Agentic Tools
Customer Testimonial

Notion Builds Real-World Agentic Workflows

From orchestration to deployment, Notion's AI team leverages Fireworks AI to deploy full agentic pipelines to scale quickly across internal tools and workflows with confidence.

Read the Blog
Who It's For

Built for Developers, Infra Teams, and Innovation Leaders

Power agentic workflows and tool integrations with reliable function calling, full observability, and enterprise-grade control.

Developers & Product Teams

  • Build AI assistants that take action, not just respond
  • Align assistants to tools, APIs, and task flows with fine-tuning
  • Launch faster with best-in-class function calling infra


Platform & AI Infra Teams

  • Meet SLAs with high-concurrency, low-latency inference
  • Fine-tune and serve models securely with FireOptimizer
  • Control cost with GPU autoscaling and predictable usage

Innovation & Strategy Leaders

  • Own your agentic stack: deploy privately and avoid vendor lock-in
  • Fine-tune agents to your tools and APIs for reliable execution
  • Choose the right model for each task from a broad catalog of open, tunable LLMs
  • Unlock composable agents that integrate speech, reasoning, and action at scale.