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