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Elixir framework for building production-ready AI agents and LLM applications: type-safe schemas with JSON Schema generation, tool calling, streaming, multi-agent coordination, guardrails, and distributed fault-tolerant sessions, with first-class Anthropic Claude support.

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# Normandy
> Build production-ready AI agents in Elixir β€” structured schemas, tool calling, multi-agent coordination, streaming, and distributed sessions, with first-class Anthropic Claude support.
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**Normandy** is an Elixir framework for building reliable LLM agents on the BEAM. It gives you type-safe input/output schemas with automatic JSON Schema generation, tool/function calling, conversational memory, and OTP-native primitives for multi-agent coordination and distributed, fault-tolerant sessions. It ships with a built-in adapter for [Anthropic Claude](https://www.anthropic.com) and a clean protocol for any other LLM provider.
## Features
- **🧠 Agent system** β€” conversational agents with memory, state, and turn-based history.
- **πŸ“‹ Schema DSL** β€” typed, validated structs with JSON Schema generation (nested schemas, `anyOf`/`oneOf`/`allOf`, conditional `if`/`then`/`else`, virtual fields, introspection).
- **πŸ”§ Tool calling** β€” LLM tool/function calling with automatic execution loops.
- **🀝 Multi-agent coordination** β€” reactive patterns (`race`/`all`/`some`), agent pools, and supervised agent processes.
- **🌐 Distributed sessions** β€” single-node to multi-node, fault-tolerant sessions across Tiers 0/1/2 (in-memory/ETS, Postgres, Mnesia, Redis) with eager resume on node loss.
- **πŸ›‘οΈ Guardrails** β€” input/output admission control with fail-open/closed policies and semantic scope checks.
- **🌊 Streaming** β€” real-time response streaming with callback-based event processing.
- **πŸ’° Prompt caching** β€” up to 90% cost reduction via automatic Anthropic prompt caching.
- **πŸ”„ Resilience** β€” built-in retry (exponential backoff + jitter) and circuit breaker patterns.
- **πŸ“¦ Batch processing** β€” concurrent processing of many inputs with progress tracking.
- **πŸ“ Context management** β€” token counting, automatic truncation, and LLM-based summarization.
- **πŸ”Œ Protocol support** β€” interoperate via Model Context Protocol (MCP) and Agent-to-Agent (A2A).
- **πŸ“Š Observability** β€” Telemetry events, structured lifecycle logging, and OpenTelemetry-compatible spans.
- **🎯 Type safety** β€” comprehensive type system with Dialyzer support, backed by 900+ tests including property-based testing.
## Installation
Add `normandy` to your dependencies in `mix.exs`:
```elixir
def deps do
[
{:normandy, "~> 1.0"}
]
end
```
Then fetch dependencies:
```bash
mix deps.get
```
## Quick Start
Define structured data, then run an agent against Anthropic Claude:
```elixir
# 1. Configure an LLM client (built-in Anthropic Claude adapter)
client = %Normandy.LLM.ClaudioAdapter{
api_key: System.get_env("ANTHROPIC_API_KEY"),
options: %{enable_caching: true}
}
# 2. Initialize an agent
agent =
Normandy.Agents.BaseAgent.init(%{
client: client,
model: "claude-sonnet-4-6",
temperature: 0.7
})
# 3. Run a turn
{agent, response} =
Normandy.Agents.BaseAgent.run(agent, %{
chat_message: "Explain Elixir's actor model in one sentence."
})
```
Defining a typed schema is just as direct:
```elixir
defmodule User do
use Normandy.Schema
io_schema "User profile" do
field(:name, :string, description: "Full name", required: true)
field(:age, :integer, description: "Age", minimum: 0, maximum: 150)
end
end
# Export as JSON Schema for LLM prompts / structured output
schema = User.get_json_schema()
```
Bring your own LLM by implementing the `Normandy.Agents.Model` protocol β€” Claude is supported out of the box, but nothing is hard-wired to it.
## Documentation
Full API reference and guides are published on HexDocs:
- **πŸ“š [API documentation](https://hexdocs.pm/normandy)** β€” every module, grouped by Core, Agents, DSL, Coordination, Tools, Context Management, Resilience, Guardrails, MCP, A2A, and LLM Adapters.
- **🌐 [Distributed sessions guide](docs/guides/distributed_sessions.md)** β€” Tiers 0/1/2, durable stores, and multi-node setup.
- **πŸ“ [CHANGELOG](CHANGELOG.md)** β€” release notes and migration guidance.
- **πŸ—ΊοΈ [ROADMAP](ROADMAP.md)** β€” phased development history and direction.
Generate the docs locally with `mix docs` and open `doc/index.html`.
## Development
```bash
mix test # run the default suite (integration tests skipped)
mix test --cover # run with coverage
mix dialyzer # static type analysis
mix format # format code
```
Run the live-API integration suite with an Anthropic key:
```bash
export ANTHROPIC_API_KEY="your-api-key"
mix test --include integration --include normandy_integration
```
## Contributing
Contributions are welcome β€” please open an issue or submit a pull request.
## License
Released under the [MIT License](LICENSE).
## Acknowledgments
The schema system is inspired by [Ecto](https://github.com/elixir-ecto/ecto)'s approach to data definition, validation, and changesets.
---
**Made with Elixir** πŸ’œ