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Documentation Index

Fetch the complete documentation index at: https://docs.arklex.ai/llms.txt

Use this file to discover all available pages before exploring further.

ArkSim connects to your agent through one of three connection types. The examples below show how to wire up each framework.

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Custom connector

These Python examples load your agent directly as a BaseAgent subclass. No HTTP server needed.

AutoGen

Microsoft AutoGen multi-agent framework.

Claude Agent SDK

Anthropic’s Agent SDK for building agents with Claude.

CrewAI

Role-based multi-agent orchestration.

Dify

Open-source LLM app development platform.

Google ADK

Google’s Agent Development Kit.

LangChain

LangChain agents and chains.

LangGraph

Stateful, graph-based agent workflows.

LlamaIndex

LlamaIndex agents and query engines.

OpenAI Agents SDK

OpenAI’s SDK for building production agents.

PydanticAI

Type-safe agent framework built on Pydantic.

SmolAgents

Hugging Face’s lightweight agent library.

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Chat Completions connector

These TypeScript examples expose your agent behind an OpenAI-compatible HTTP endpoint. ArkSim connects using the chat_completions connector.

Mastra

TypeScript agent framework with built-in tool calling.

Vercel AI SDK

Vercel’s SDK for building AI-powered applications.

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Custom connector with HTTP

This example uses the custom connector with a BaseAgent subclass that forwards requests to a running HTTP server.

Rasa

Open-source conversational AI framework. The custom agent wraps Rasa’s REST webhook channel.
For details on each connection type, see Agent configuration.