Add GooseAI, CerebriumAI, Petals, ForefrontAI (#981)

Add GooseAI, CerebriumAI, Petals, ForefrontAI
This commit is contained in:
Enrico Shippole
2023-02-14 00:20:19 -05:00
committed by GitHub
parent d43d430d86
commit f30dcc6359
20 changed files with 1283 additions and 1 deletions

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# CerebriumAI
This page covers how to use the CerebriumAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific CerebriumAI wrappers.
## Installation and Setup
- Install with `pip install cerebrium`
- Get an CerebriumAI api key and set it as an environment variable (`CEREBRIUMAI_API_KEY`)
## Wrappers
### LLM
There exists an CerebriumAI LLM wrapper, which you can access with
```python
from langchain.llms import CerebriumAI
```

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# ForefrontAI
This page covers how to use the ForefrontAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific ForefrontAI wrappers.
## Installation and Setup
- Get an ForefrontAI api key and set it as an environment variable (`FOREFRONTAI_API_KEY`)
## Wrappers
### LLM
There exists an ForefrontAI LLM wrapper, which you can access with
```python
from langchain.llms import ForefrontAI
```

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# GooseAI
This page covers how to use the GooseAI ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific GooseAI wrappers.
## Installation and Setup
- Install the Python SDK with `pip install openai`
- Get your GooseAI api key from this link [here](https://goose.ai/).
- Set the environment variable (`GOOSEAI_API_KEY`).
```python
import os
os.environ["GOOSEAI_API_KEY"] = "YOUR_API_KEY"
```
## Wrappers
### LLM
There exists an GooseAI LLM wrapper, which you can access with:
```python
from langchain.llms import GooseAI
```

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docs/ecosystem/petals.md Normal file
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# Petals
This page covers how to use the Petals ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Petals wrappers.
## Installation and Setup
- Install with `pip install petals`
- Get an Huggingface api key and set it as an environment variable (`HUGGINGFACE_API_KEY`)
## Wrappers
### LLM
There exists an Petals LLM wrapper, which you can access with
```python
from langchain.llms import Petals
```