AgentRPC Python SDK

A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.

⚠️ The AgentRPC Python SDK does not currently support registering tools.

Installation

pip install agentrpc

Registering Tools

Creating an AgentRPC Client

from agentrpc import AgentRPC

agentrpc = AgentRPC(
  # Get your API secret from https://app.agentrpc.com
  api_secret="YOUR_API_SECRET"
)

OpenAI Tools

AgentRPC provides integration with OpenAI's function calling capabilities, allowing you to expose your registered RPC functions as tools for OpenAI models to use.

Agents SDK

rpc.openai.agents.get_tools()

The get_tools() method returns your registered AgentRPC functions as OpenAI Agent tools.

# First register your functions with AgentRPC (Locally or on another machine)

# Attach the tools to the Agent
agent = Agent(name="AgentRPC Agent", tools=agentrpc.openai.agents.get_tools())

result = await Runner.run(
    agent,
    input="What is the weather in Melbourne?",
)

print(result.final_output)

Completions SDK

rpc.openai.completions.get_tools()

The get_tools() method returns your registered AgentRPC functions formatted as OpenAI tools, ready to be passed to OpenAI's API.

# First register your functions with AgentRPC (Locally or on another machine)

# Then get the tools formatted for OpenAI
tools = agentrpc.openai.get_tools()

# Pass these tools to OpenAI
chat_completion = openai.chat.completions.create(
  model="gpt-4-1106-preview",
  messages=messages,
  tools=tools,
  tool_choice="auto"
)

rpc.OpenAI.completions.execute_tool(tool_call)

The execute_tool() method executes an OpenAI tool call against your registered AgentRPC functions.

# Process tool calls from OpenAI's response
if chat_completion.choices[0].tool_calls:
  for tool_call in response_message.tool_calls:
    rpc.openai.execute_tool(tool_call)

API

AgentRPC(options?)

Creates a new AgentRPC client.

Options: