60 lines
1.8 KiB
Markdown
60 lines
1.8 KiB
Markdown
---
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title: Python client
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excerpt: Developing using the MemGPT Python client
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category: 6580dab16cade8003f996d17
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---
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The fastest way to integrate MemGPT with your own Python projects is through the [client class](https://github.com/cpacker/MemGPT/blob/main/memgpt/client/client.py):
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```python
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from memgpt import create_client
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# Connect to the server as a user
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client = create_client()
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# Create an agent
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agent_info = client.create_agent(
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name="my_agent",
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persona="You are a friendly agent.",
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human="Bob is a friendly human."
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)
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# Send a message to the agent
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messages = client.user_message(agent_id=agent_info.id, message="Hello, agent!")
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```
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## More in-depth example of using the MemGPT Python client
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```python
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from memgpt import create_client
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# Connect to the server as a user
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client = create_client()
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# Create an agent
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agent_info = client.create_agent(
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name="my_agent",
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persona="You are a friendly agent.",
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human="Bob is a friendly human."
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)
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# Send a message to the agent
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messages = client.user_message(agent_id=agent_info.id, message="Hello, agent!")
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# Create a helper that sends a message and prints the assistant response only
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def send_message(message: str):
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"""
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sends a message and prints the assistant output only.
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:param message: the message to send
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"""
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response = client.user_message(agent_id=agent_info.id, message=message)
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for r in response:
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# Can also handle other types "function_call", "function_return", "function_message"
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if "assistant_message" in r:
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print("ASSISTANT:", r["assistant_message"])
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elif "internal_monologue" in r:
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print("THOUGHTS:", r["internal_monologue"])
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# Send a message and see the response
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send_message("Please introduce yourself and tell me about your abilities!")
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```
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