Langchain + Assistants API

Basic

from langchain.agents.openai_assistant import OpenAIAssistantRunnable

assistant = OpenAIAssistantRunnable.create_assistant(
name="langchain assistant",
instructions="You are a personal math tutor. Write and run code to answer math questions.",
tools=[{"type": "code_interpreter"}],
model="gpt-4-1106-preview"
)
output = assistant.invoke({"content": "What's 10 - 4 raised to the 2.7"})

for message in output:
print(message.content.text.value)

Langchain Function Calling

from langchain.agents.openai_assistant import OpenAIAssistantRunnable
from langchain.agents import AgentExecutor
from langchain.tools import DuckDuckGoSearchRun

tools = [DuckDuckGoSearchRun()]

assistant = OpenAIAssistantRunnable.create_assistant(
name="langchain assistant",
instructions="You are a personal math tutor. Write and run code to answer math questions.",
tools=tools,
model="gpt-4-1106-preview",
as_agent=True,
)

agent_executor = AgentExecutor(agent=assistant, tools=tools)
output = agent_executor.invoke(
{
"content":
"What's the weather in London today divided by 2.7"
}
)

print(f"Content: {output['content']}\nOutput: {output['output']}")