docs: add AgentField to Agent SDKs integrations

docs/my-website/docs/integrations/index.md

@@ -3,6 +3,7 @@
 This section covers integrations with various tools and services that can be used with LiteLLM (either Proxy or SDK).
 
 ## AI Agent Frameworks
+- **[AgentField](../tutorials/agentfield.md)** - Open-source control plane for building and orchestrating autonomous AI agents
 - **[Letta](./letta.md)** - Build stateful LLM agents with persistent memory using LiteLLM Proxy
 
 ## Development Tools
@@ -15,4 +16,4 @@ This section covers integrations with various tools and services that can be use
 - **[Datadog](../observability/datadog.md)**
 
 
-Click into each section to learn more about the integrations.
+Click into each section to learn more about the integrations.

docs/my-website/docs/tutorials/agentfield.md

@@ -0,0 +1,124 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# AgentField with LiteLLM
+
+Use [AgentField](https://agentfield.ai) with any LLM provider through LiteLLM.
+
+AgentField is an open-source control plane for building and orchestrating autonomous AI agents, with SDKs for Python, TypeScript, and Go. AgentField's Python SDK uses LiteLLM internally for multi-provider LLM support.
+
+## Overview
+
+AgentField's Python SDK uses `litellm.acompletion()` under the hood, giving you access to 100+ LLM providers out of the box:
+
+- Use any LiteLLM-supported model (OpenAI, Anthropic, Azure, Bedrock, Ollama, etc.)
+- Switch between providers by changing the model string
+- All LiteLLM features (caching, fallbacks, routing) work automatically
+
+## Prerequisites
+
+- Python 3.9+
+- API keys for your LLM providers
+- AgentField control plane (optional, for orchestration features)
+
+## Installation
+
+```bash
+pip install agentfield
+```
+
+## Quick Start
+
+### Basic Agent with OpenAI
+
+```python
+from agentfield import Agent, AgentConfig
+
+config = AgentConfig(
+    name="my-agent",
+    model="gpt-4o",  # Any LiteLLM-supported model
+    instructions="You are a helpful assistant."
+)
+
+agent = Agent(config)
+response = await agent.run("Hello, world!")
+```
+
+### Using Anthropic
+
+```python
+config = AgentConfig(
+    name="claude-agent",
+    model="anthropic/claude-sonnet-4-20250514",  # LiteLLM model format
+    instructions="You are a helpful assistant."
+)
+```
+
+### Using Ollama (Local Models)
+
+```python
+config = AgentConfig(
+    name="local-agent",
+    model="ollama/llama3.1",  # LiteLLM's ollama/ prefix
+    instructions="You are a helpful assistant."
+)
+```
+
+### Using Azure OpenAI
+
+```python
+config = AgentConfig(
+    name="azure-agent",
+    model="azure/gpt-4o",  # LiteLLM's azure/ prefix
+    instructions="You are a helpful assistant."
+)
+```
+
+### Using with LiteLLM Proxy
+
+Point AgentField to a LiteLLM Proxy for centralized model management:
+
+```python
+import os
+
+os.environ["OPENAI_API_BASE"] = "http://0.0.0.0:4000"  # LiteLLM Proxy URL
+os.environ["OPENAI_API_KEY"] = "sk-1234"  # LiteLLM Proxy key
+
+config = AgentConfig(
+    name="proxy-agent",
+    model="gpt-4o",  # Virtual model name from proxy config
+    instructions="You are a helpful assistant."
+)
+```
+
+## Multi-Agent Orchestration
+
+AgentField's control plane orchestrates multiple agents, each potentially using different LLM providers:
+
+```python
+from agentfield import Agent, AgentConfig, ControlPlane
+
+# Create agents with different providers
+researcher = Agent(AgentConfig(
+    name="researcher",
+    model="anthropic/claude-sonnet-4-20250514",
+    instructions="You research topics thoroughly."
+))
+
+writer = Agent(AgentConfig(
+    name="writer",
+    model="gpt-4o",
+    instructions="You write clear, concise content."
+))
+
+# Register with control plane
+cp = ControlPlane(server="http://localhost:8080")
+cp.register(researcher)
+cp.register(writer)
+```
+
+## Links
+
+- [Documentation](https://agentfield.ai/docs)
+- [GitHub](https://github.com/Agent-Field/agentfield)
+- [Python SDK](https://github.com/Agent-Field/agentfield/tree/main/sdk/python)

docs/my-website/sidebars.js

@@ -184,6 +184,7 @@ const sidebars = {
         slug: "/agent_sdks"
       },
       items: [
+        "tutorials/agentfield",
         "tutorials/openai_agents_sdk",
         "tutorials/claude_agent_sdk",
         "tutorials/copilotkit_sdk",