> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# ChatNetMind integration

> Integrate with the ChatNetMind chat model using LangChain Python.

This will help you get started with Netmind [chat models](https://www.netmind.ai/). For detailed documentation of all `ChatNetmind` features and configurations head to the [API reference](https://github.com/protagolabs/langchain-netmind).

* See [www.netmind.ai/](https://www.netmind.ai/) for an example.

## Overview

### Integration details

| Class                                                   | Package                                                       | Serializable | [JS support](https://js.langchain.com/docs/integrations/chat/) |                                              Downloads                                             |                                             Version                                             |
| :------------------------------------------------------ | :------------------------------------------------------------ | :----------: | :------------------------------------------------------------: | :------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: |
| [`ChatNetmind`](https://reference.langchain.com/python) | [`langchain-netmind`](https://reference.langchain.com/python) |       ❌      |                                ❌                               | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-netmind?style=flat-square\&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-netmind?style=flat-square\&label=%20) |

### Model features

| [Tool calling](/oss/python/langchain/tools) | [Structured output](/oss/python/langchain/structured-output) | [Image input](/oss/python/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/python/langchain/streaming#llm-tokens) | Native async | [Token usage](/oss/python/langchain/models#token-usage) | [Logprobs](/oss/python/langchain/models#log-probabilities) |
| :-----------------------------------------: | :----------------------------------------------------------: | :------------------------------------------------------: | :---------: | :---------: | :-----------------------------------------------------------------: | :----------: | :-----------------------------------------------------: | :--------------------------------------------------------: |
|                      ✅                      |                               ✅                              |                             ❌                            |      ❌      |      ❌      |                                  ✅                                  |       ✅      |                            ✅                            |                              ✅                             |

## Setup

To access Netmind models you'll need to create a/an Netmind account, get an API key, and install the `langchain-netmind` integration package.

### Credentials

Head to [www.netmind.ai/](https://www.netmind.ai/) to sign up to Netmind and generate an API key. Once you've done this set the NETMIND\_API\_KEY environment variable:

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import getpass
import os

if not os.getenv("NETMIND_API_KEY"):
    os.environ["NETMIND_API_KEY"] = getpass.getpass("Enter your Netmind API key: ")
```

If you want to get automated tracing of your model calls you can also set your [LangSmith](/langsmith/observability) API key by uncommenting below:

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
# os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
```

### Installation

The LangChain Netmind integration lives in the `langchain-netmind` package:

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
pip install -qU langchain-netmind
```

## Instantiation

Now we can instantiate our model object and generate chat completions:

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_netmind import ChatNetmind

llm = ChatNetmind(
    model="deepseek-ai/DeepSeek-V3",
    temperature=0,
    max_tokens=None,
    timeout=None,
    max_retries=2,
    # other params...
)
```

## Invocation

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)
ai_msg
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
AIMessage(content="J'adore programmer.", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 13, 'prompt_tokens': 31, 'total_tokens': 44, 'completion_tokens_details': None, 'prompt_tokens_details': None}, 'model_name': 'deepseek-ai/DeepSeek-V3', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-ca6c2010-844d-4bf6-baac-6e248491b000-0', usage_metadata={'input_tokens': 31, 'output_tokens': 13, 'total_tokens': 44, 'input_token_details': {}, 'output_token_details': {}})
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
print(ai_msg.content)
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
J'adore programmer.
```

***

## API reference

For detailed documentation of all `ChatNetmind` features and configurations head to the API reference:

* [API reference](https://reference.langchain.com/python)
* [langchain-netmind](https://github.com/protagolabs/langchain-netmind)
* [pypi](https://pypi.org/project/langchain-netmind/)

***

<div className="source-links">
  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/chat/netmind.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
</div>