From f9be04c311f93994d75ed78d373251de750404ce Mon Sep 17 00:00:00 2001
From: Paul Nugent <paul.nugent01@gmail.com>
Date: Fri, 23 Aug 2024 14:39:06 +0100
Subject: [PATCH] Update LLM-Connections.md (#1190)

Added missing quotes around os.environ

Co-authored-by: Eduardo Chiarotti <dudumelgaco@hotmail.com>
---
 docs/how-to/LLM-Connections.md | 36 +++++++++++++++++-----------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/docs/how-to/LLM-Connections.md b/docs/how-to/LLM-Connections.md
index 1f0eafd5e..222554535 100644
--- a/docs/how-to/LLM-Connections.md
+++ b/docs/how-to/LLM-Connections.md
@@ -112,30 +112,30 @@ Switch between APIs and models seamlessly using environment variables, supportin
 ### Configuration Examples
 #### FastChat
 ```sh
-os.environ[OPENAI_API_BASE]="http://localhost:8001/v1"
-os.environ[OPENAI_MODEL_NAME]='oh-2.5m7b-q51'
-os.environ[OPENAI_API_KEY]=NA
+os.environ["OPENAI_API_BASE"]='http://localhost:8001/v1'
+os.environ["OPENAI_MODEL_NAME"]='oh-2.5m7b-q51'
+os.environ[OPENAI_API_KEY]='NA'
 ```
 
 #### LM Studio
 Launch [LM Studio](https://lmstudio.ai) and go to the Server tab. Then select a model from the dropdown menu and wait for it to load. Once it's loaded, click the green Start Server button and use the URL, port, and API key that's shown (you can modify them). Below is an example of the default settings as of LM Studio 0.2.19:
 ```sh
-os.environ[OPENAI_API_BASE]="http://localhost:1234/v1"
-os.environ[OPENAI_API_KEY]="lm-studio"
+os.environ["OPENAI_API_BASE"]='http://localhost:1234/v1'
+os.environ["OPENAI_API_KEY"]='lm-studio'
 ```
 
 #### Groq API
 ```sh
-os.environ[OPENAI_API_KEY]=your-groq-api-key
-os.environ[OPENAI_MODEL_NAME]='llama3-8b-8192'
-os.environ[OPENAI_API_BASE]=https://api.groq.com/openai/v1
+os.environ["OPENAI_API_KEY"]='your-groq-api-key'
+os.environ["OPENAI_MODEL_NAME"]='llama3-8b-8192'
+os.environ["OPENAI_API_BASE"]='https://api.groq.com/openai/v1'
 ```
 
 #### Mistral API
 ```sh
-os.environ[OPENAI_API_KEY]=your-mistral-api-key
-os.environ[OPENAI_API_BASE]=https://api.mistral.ai/v1
-os.environ[OPENAI_MODEL_NAME]="mistral-small"
+os.environ["OPENAI_API_KEY"]='your-mistral-api-key'
+os.environ["OPENAI_API_BASE"]='https://api.mistral.ai/v1'
+os.environ["OPENAI_MODEL_NAME"]='mistral-small'
 ```
 
 ### Solar
@@ -143,8 +143,8 @@ os.environ[OPENAI_MODEL_NAME]="mistral-small"
 from langchain_community.chat_models.solar import SolarChat
 ```
 ```sh
-os.environ[SOLAR_API_BASE]="https://api.upstage.ai/v1/solar"
-os.environ[SOLAR_API_KEY]="your-solar-api-key"
+os.environ["SOLAR_API_BASE"]='https://api.upstage.ai/v1/solar'
+os.environ["SOLAR_API_KEY"]='your-solar-api-key'
 ```
 
 # Free developer API key available here: https://console.upstage.ai/services/solar
@@ -155,7 +155,7 @@ os.environ[SOLAR_API_KEY]="your-solar-api-key"
 ```python
 from langchain_cohere import ChatCohere
 # Initialize language model
-os.environ["COHERE_API_KEY"] = "your-cohere-api-key"
+os.environ["COHERE_API_KEY"]='your-cohere-api-key'
 llm = ChatCohere()
 
 # Free developer API key available here: https://cohere.com/
@@ -166,10 +166,10 @@ llm = ChatCohere()
 For Azure OpenAI API integration, set the following environment variables:
 ```sh
 
-os.environ[AZURE_OPENAI_DEPLOYMENT] = "Your deployment"
-os.environ["OPENAI_API_VERSION"] = "2023-12-01-preview"
-os.environ["AZURE_OPENAI_ENDPOINT"] = "Your Endpoint"
-os.environ["AZURE_OPENAI_API_KEY"] = "<Your API Key>"
+os.environ["AZURE_OPENAI_DEPLOYMENT"]='Your deployment'
+os.environ["OPENAI_API_VERSION"]='2023-12-01-preview'
+os.environ["AZURE_OPENAI_ENDPOINT"]='Your Endpoint'
+os.environ["AZURE_OPENAI_API_KEY"]='Your API Key'
 ```
 
 ### Example Agent with Azure LLM