| Name | langchain-genezio JSON |
| Version |
0.1.2
JSON |
| download |
| home_page | None |
| Summary | The Genezio Code Interpreter is a Virtual Machine isolated environment for running Python generated by AI agents. |
| upload_time | 2025-02-12 14:19:59 |
| maintainer | None |
| docs_url | None |
| author | Genezio |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
langchain
genezio
code-interpreter
ai
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Langchain Genezio Code Interpreter
The Langchain Genezio Code Interpreter allows you to add code execution functionality into the LLMs. The code is executed in a secured environment on Genezio Cloud Platform.
## Installation
```
pip install langchain-genezio
```
## Usage
```
from langchain.agents import AgentExecutor, create_tool_calling_agent
from langchain_anthropic import ChatAnthropic
from langchain_core.prompts import ChatPromptTemplate
from langchain-genezio import GenezioInterpreter
tools = [
GenezioInterpreter(
url=os.getenv("GENEZIO_PROJECT_URL"),
)
]
llm = ChatAnthropic(model="claude-3-haiku-20240307", temperature=0)
prompt_template = ChatPromptTemplate.from_messages(
[
(
"system",
"You are a helpful assistant. Make sure to use a tool if you need to solve a problem.",
),
("human", "{input}"),
("placeholder", "{agent_scratchpad}"),
]
)
agent = create_tool_calling_agent(llm, tools, prompt_template)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
# Ask a tough question
result = agent_executor.invoke({"input": "What is the 888th prime number?"})
print(result["output"][0]["text"])
```
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