diff --git a/python/packages/lab/README.md b/python/packages/lab/README.md index 13f3cf04c7..5508375010 100644 --- a/python/packages/lab/README.md +++ b/python/packages/lab/README.md @@ -8,7 +8,7 @@ Lab packages are not part of the core framework and may experience breaking chan Lab packages are extensions to the core Agent Framework that falls into one of the following categories: -1. Incubation of new features that may get incorprated by the core framework. +1. Incubation of new features that may get incorporated by the core framework. 2. Research prototypes built on the core framework. 3. Benchmarks and experimentation tools. @@ -26,7 +26,7 @@ If you want to contribute, please take the following steps: 1. Follow the [Create a New Lab Package](#create-new-lab-package) guide below to create your own lab package. 2. Create a new repo on GitHub and check in your package there. -3. Tag your repo with `agent-framework-lab` for bettter discovery. +3. Tag your repo with `agent-framework-lab` for better discovery. 4. Submit a PR to this repo (github.com/microsoft/agent-framework) to add a link to your repo in the [list](#lab-packages) above. **The PR title must contain "[New Lab Package]"**. diff --git a/python/samples/getting_started/agents/azure_ai/README.md b/python/samples/getting_started/agents/azure_ai/README.md index 57e465fa91..f6c34a2a46 100644 --- a/python/samples/getting_started/agents/azure_ai/README.md +++ b/python/samples/getting_started/agents/azure_ai/README.md @@ -18,8 +18,5 @@ This folder contains examples demonstrating different ways to create and use age Make sure to set the following environment variables before running the examples: -- `AZURE_AZURE_FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI project endpoint -- `AZURE_AZURE_FOUNDRY_MODEL_DEPLOYMENT_NAME`: The name of your model deployment - -Optionally, you can set: -- `AZURE_AZURE_FOUNDRY_AGENT_NAME`: The name of your agent, this can also be set programmatically when creating the agent. +- `AZURE_AI_PROJECT_ENDPOINT`: Your Azure AI project endpoint +- `AZURE_AI_MODEL_DEPLOYMENT_NAME`: The name of your model deployment