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https://github.com/llm-workflow-engine/lwe-plugin-provider-requesty

LLM Workflow Engine (LWE) Requesty Provider plugin
https://github.com/llm-workflow-engine/lwe-plugin-provider-requesty

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LLM Workflow Engine (LWE) Requesty Provider plugin

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# LLM Workflow Engine (LWE) Requesty Provider plugin

Requesty Provider plugin for [LLM Workflow Engine](https://github.com/llm-workflow-engine/llm-workflow-engine)

Access to [Requesty](https://www.requesty.ai/solution/llm-routing/models) models.

## Installation

### From packages

Install the latest version of this software directly from github with pip:

```bash
pip install git+https://github.com/llm-workflow-engine/lwe-plugin-provider-requesty
```

### From source (recommended for development)

Install the latest version of this software directly from git:

```bash
git clone https://github.com/llm-workflow-engine/lwe-plugin-provider-requesty.git
```

Install the development package:

```bash
cd lwe-plugin-provider-requesty
pip install -e .
```

## Configuration

Get an [API key](https://app.requesty.ai/router) from Requesty.

Export the key to the `REQUESTY_API_KEY` environment variable.

Add the following to `config.yaml` in your profile:

```yaml
plugins:
enabled:
- provider_requesty
# Any other plugins you want enabled...
# THIS IS OPTIONAL -- By default the plugin loads all model data via an API
# call on startup. This does make startup time longer, and the CLI completion
# for selecting models is very long!
# You can instead provide a 'models' object here with the relevant data, and
# It will be used instead of an API call.
provider_requesty:
models:
# 'id' parameter of the model as it appears in the API.
# This is also listed on the model summary page on the Requesty
# website.
"openai/gpt-4o":
# The only parameter, and it's required.
max_tokens: 128000
```

## Usage

From a running LWE shell:

```
/provider requesty
/model model_name openai/gpt-4o-mini
```