TypeScript
import { OpenAI } from 'openai';
import { AgentRPC } from 'agentrpc';
const openai = new OpenAI({
apiKey: process.env.ANTHROPIC_API_KEY,
baseURL: 'https://api.anthropic.com/v1/',
});
const rpc = new AgentRPC({ apiSecret: process.env.AGENTRPC_API_SECRET });
const main = async () => {
const tools = await rpc.OpenAI.getTools();
const completion = await openai.chat.completions.create({
model: 'claude-3-sonnet-20240229',
messages: [
{
role: 'user',
content: 'What is the weather in Melbourne?',
},
],
tools,
});
const message = completion.choices[0]?.message;
if (message?.tool_calls) {
for (const toolCall of message.tool_calls) {
console.log('Agent is calling Tool', toolCall.function.name);
const result = await rpc.OpenAI.executeTool(toolCall);
console.log(result);
}
}
};
main();
Python
import os
from agentrpc import AgentRPC
from openai import OpenAI
def main():
agentrpc = AgentRPC(api_secret=os.environ.get("AGENTRPC_API_SECRET", ""))
openai = OpenAI(
api_key=os.environ.get("ANTHROPIC_API_KEY", ""),
base_url="https://api.anthropic.com/v1/",
)
tools = agentrpc.openai.completions.get_tools()
completion = openai.chat.completions.create(
model="claude-3-sonnet-20240229",
messages=[{"role": "user", "content": "What is the weather in Melbourne?"}],
tools=tools,
)
if completion.choices[0].message.tool_calls:
for tool_call in completion.choices[0].message.tool_calls:
print("Agent is calling Tool", tool_call.function.name)
result = agentrpc.openai.completions.execute_tool(tool_call)
print(result)
if __name__ == "__main__":
main()