Jido does not lock you into a model provider. The req_llm package gives you a single interface to OpenAI, Anthropic, Google, Mistral, and local models. Swap providers by changing configuration, not code.

At a glance

Supported providers

All adapters implement the same interface. Your agent code does not change when you switch providers.

Provider-agnostic code with req_llm

req_llm wraps provider differences behind a consistent request/response contract:

# Works with any provider. Just change the model string.
{:ok, response} = ReqLLM.chat(:my_client, [
  %{role: "user", content: "Summarize this support ticket"}
], model: "anthropic/claude-sonnet-4-20250514")

# Same code, different provider
{:ok, response} = ReqLLM.chat(:my_client, [
  %{role: "user", content: "Summarize this support ticket"}
], model: "openai/gpt-4o")

No adapter swapping, no interface changes. The model string determines the provider.

Swap models without changing agent code

Define your agent once. Change the model in configuration:

defmodule MyApp.SupportAgent do
  use Jido.AI.Agent,
    name: "support_agent",
    description: "Customer support agent",
    tools: [MyApp.Tools.OrderLookup],
    system_prompt: "You help customers with order questions."
end

# Production: use Anthropic
config :my_app, MyApp.SupportAgent,
  model: "anthropic/claude-sonnet-4-20250514"

# Development: use a local model
config :my_app, MyApp.SupportAgent,
  model: "ollama/llama3"

Your agent logic, tools, and system prompt stay identical. Only the model changes.

Model capability tracking with llm_db

llm_db maintains a database of model metadata: context windows, pricing, supported features. Use it to make runtime decisions about which model to use:

# Find models that support function calling with at least 100k context
models = LlmDB.list(
  capabilities: [:function_calling],
  min_context: 100_000
)

This is useful when you need to route requests to different models based on task requirements or cost constraints.

What to explore next

• Agent foundations:How Jido agents work
• Tools:Give agents tools
• Coordination:Agents that work together
• BEAM advantages:BEAM for AI builders

Get Building

Pick a provider, configure req_llm, and connect it to an agent. Then read Give agents tools to give your agent capabilities beyond conversation.