Getting started
Quick start
Core Concepts
AI Framework integrations
Practical Guides
- Overview
- Common integration patterns
- Agents in Freeplay
- Tool Calls
- Multimodal Data
- Multi-Turn Chatbot
- Curating Useful Datasets for Testing & Evaluation
- Creating and Aligning Model-graded Evals
- Configure, Test & Deploy a Fallback LLM Provider
- Configure LiteLLM Proxy Models in Freeplay
- Voice-Enabled AI with Pipecat, Twilio, and Freeplay
Recipes
- Overview
- Call Anthropic on Bedrock
- Call Llama 3 on AWS SageMaker
- Call OpenAI on Azure
- Managing History for Multi-Turn Chat
- Freeplay <> LangGraph
- Freeplay Pipecat Observer
- Multi-Chain Prompt with Traces
- Multi Prompt Chain
- OpenAI Batch API Example
- Pipecat Processor Integration
- Provider Switching
- Provider Switching with LiteLLM
- Record Traces
- Run a test with tools programmatically
- Single Prompt
- Structred Outputs
- Test Run
- Using tools with Anthropic
- Using tools with OpenAI
Security & Compliance
Resources
Resources
LLMs.txt
Want to call Freeplay with an LLM?
Point your model here! —> https://docs.freeplay.ai/llms.txt
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