Archives/langchain
2
0
Fork 1
mirror of https://github.com/hwchase17/langchain synced 2024-10-31 15:20:26 +00:00
Code Issues Packages Projects Releases Wiki Activity
af41cdfc8b
langchain/docs/integrations/gooseai.md
Leonid Ganeline e2d7677526
docs: compound ecosystem and integrations (#4870) 
# Docs: compound ecosystem and integrations

**Problem statement:** We have a big overlap between the
References/Integrations and Ecosystem/LongChain Ecosystem pages. It
confuses users. It creates a situation when new integration is added
only on one of these pages, which creates even more confusion.
- removed References/Integrations page (but move all its information
into the individual integration pages - in the next PR).
- renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations.
I like the Ecosystem term. It is more generic and semantically richer
than the Integration term. But it mentally overloads users. The
`integration` term is more concrete.
UPDATE: after discussion, the Ecosystem is the term.
Ecosystem/Integrations is the page (in place of Ecosystem/LongChain
Ecosystem).

As a result, a user gets a single place to start with the individual
integration.
2023-05-18 09:29:57 -07:00

589 B
Raw Blame History

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.
  • Set the environment variable (GOOSEAI_API_KEY).
import os
os.environ["GOOSEAI_API_KEY"] = "YOUR_API_KEY"

Wrappers

LLM

There exists an GooseAI LLM wrapper, which you can access with:

from langchain.llms import GooseAI