Update readme

Author: mjnitz02

public_dropin_environments/python311_genai_agents/README.md

@@ -6,37 +6,16 @@ workflows using CrewAI, LangGraph, Llama-Index and other agentic workflows.
 Additionally, this environment is fully compatible with `Codespaces` and `Notebooks` in the DataRobot platform.
 
 ## Supported Libraries
-
-This environment is built for python 3 and has support for the following libraries.
-For specific version information and the complete list of included packages, see [requirements](requirements.txt).
-
-- crewai
-- langgraph
-- langchain
-- llama-index
-- openai
-- numpy
-- pandas
+For specific version information and the complete list of included packages, see [pyproject.toml](pyproject.toml).
 
 ## Instructions
 
 1. From the terminal, run `tar -czvf py_dropin.tar.gz -C /path/to/public_dropin_environments/python311_genai_agents/ .`
-2. Using either the API or from the UI create a new Custom Environment with the tarball created
-in step 1.
+2. Using either the API or from the UI create a new Custom Environment with the tarball created in step 1.
 
 _The Dockerfile.local should be used when customizing the Dockerfile or building locally._
 
-### Creating models for this environment
-
-To use this environment, your custom model archive will typically contain a `custom.py` file containing the necessary hooks, as well as other files needed for your workflow. You can implement the hook functions such as `load_model` and `score_unstructured`, as documented [here](../../custom_model_runner/README.md)
-
-Within your `custom.py` code, by importing the necessary dependencies found in this environment, you can implement your Python code under the related custom hook functions, to build your GenAI workflows.
-
-If you need additional dependencies, you can add those packages in your `requirements.txt` file that you include within your custom model archive and DataRobot will make them available to your custom Python code after you build the environment.
-
-# Development
-
-## Synchronizing `pyproject.toml` and other files with `af-component-agents` [Preferred method]
+## [Development] Synchronizing `pyproject.toml` and other files with `af-component-agents` [Preferred method]
 From within the `af-component-agents` repo run the following while replacing `path/to/` with the approprite path of your local environment:
 ```bash
 task docker_update_reqs AGENT_PATH=/path/to/datarobot-user-models/public_dropin_environments/python311_genai_agents
@@ -46,17 +25,3 @@ This will:
 - Synchronize the `pyproject.toml` to the latest unified requirements
 - Upgrade the `uv.lock` file
 - Update the `requirements.txt` file so it properly displays in the Execution Environment UI.
-
-## Manually updating requirments.txt for proper display inside DataRobot:
-Run the following from within the `python311_genai_agents` directory:
-```bash
-uv lock 
-uv sync
-uv pip freeze > requirements.txt
-```
-
-## Manually updating the `uv.lock` file:
-Run the following from within the `python311_genai_agents` directory:
-```bash
-uv lock --no-upgrade
-```