langchain/docs/extras/integrations/providers/konko.mdx

# Konko
This page covers how to run models on Konko within LangChain.

Konko API is a fully managed API designed to help application developers:

Select the right LLM(s) for their application
Prototype with various open-source and proprietary LLMs
Move to production in-line with their security, privacy, throughput, latency SLAs without infrastructure set-up or administration using Konko AI's SOC 2 compliant infrastructure

## Installation and Setup

### First you'll need an API key
You can request it by messaging [support@konko.ai](mailto:support@konko.ai) 

### Install Konko AI's Python SDK

#### 1. Enable a Python3.8+ environment

#### 2. Set API Keys

##### Option 1: Set Environment Variables

1. You can set environment variables for 
   1. KONKO_API_KEY (Required)
   2. OPENAI_API_KEY (Optional)

2. In your current shell session, use the export command:

```shell
export KONKO_API_KEY={your_KONKO_API_KEY_here}
export OPENAI_API_KEY={your_OPENAI_API_KEY_here} #Optional
```

Alternatively, you can add the above lines directly to your shell startup script (such as .bashrc or .bash_profile for Bash shell and .zshrc for Zsh shell) to have them set automatically every time a new shell session starts.

##### Option 2: Set API Keys Programmatically

If you prefer to set your API keys directly within your Python script or Jupyter notebook, you can use the following commands:

```python
konko.set_api_key('your_KONKO_API_KEY_here')  
konko.set_openai_api_key('your_OPENAI_API_KEY_here') # Optional
```

#### 3. Install the SDK


```shell
pip install konko
```

#### 4. Verify Installation & Authentication

```python
#Confirm konko has installed successfully
import konko
#Confirm API keys from Konko and OpenAI are set properly
konko.Model.list()
```

## Calling a model

Find a model on the [Konko Introduction page](https://docs.konko.ai/docs#available-models)

For example, for this [LLama 2 model](https://docs.konko.ai/docs/meta-llama-2-13b-chat). The model id would be: `"meta-llama/Llama-2-13b-chat-hf"`

Another way to find the list of models running on the Konko instance is through this [endpoint](https://docs.konko.ai/reference/listmodels).

From here, we can initialize our model:

```python
chat_instance = ChatKonko(max_tokens=10, model = 'meta-llama/Llama-2-13b-chat-hf')
```

And run it:

```python
msg = HumanMessage(content="Hi")
chat_response = chat_instance([msg])
```