[BUZZOK-28206] Fix broken requirements.txt in GenAI Agents environment (Need to remove all ; things in requirements.txt)

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
-```

public_dropin_environments/python311_genai_agents/env_info.json

@@ -4,7 +4,7 @@
   "description": "This template environment can be used to create GenAI-powered agents using CrewAI, LangGraph, or Llama-Index. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file. You can also use this environment in codespaces.",
   "programmingLanguage": "python",
   "label": "",
-  "environmentVersionId": "68fa3b33ce44a811c9116422",
+  "environmentVersionId": "68ff8b541f7d1c30b50ed595",
   "environmentVersionDescription": "",
   "isPublic": true,
   "isDownloadable": true,
@@ -15,8 +15,8 @@
   "contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python311_genai_agents",
   "imageRepository": "env-python-genai-agents",
   "tags": [
-    "v11.2.0-68fa3b33ce44a811c9116422",
-    "68fa3b33ce44a811c9116422",
+    "v11.2.0-68ff8b541f7d1c30b50ed595",
+    "68ff8b541f7d1c30b50ed595",
     "v11.2.0-latest"
   ]
 }

public_dropin_environments/python311_genai_agents/pyproject.toml

@@ -4,7 +4,7 @@ name = "DockerContext"
 version = "0.1.0"
 description = "Implementation of DockerContext"
 readme = "README.md"
-requires-python = ">=3.10, <3.13"
+requires-python = ">=3.11, <3.12"
 dependencies = [
     "annotated-types>=0.7.0",
     "click>=8.1.8",
@@ -53,11 +53,11 @@ dependencies = [
     "ujson<5.8.0",
     "uwsgi>=2.0.30",
 
-    "nvidia-nat==1.3.0rc3; python_version >= '3.11'",
+    "nvidia-nat==1.3.0; python_version >= '3.11'",
     # "nvidia-nat-llama-index==1.3.0rc3; python_version >= '3.11'",
-    "nvidia-nat-opentelemetry==1.3.0rc3; python_version >= '3.11'",
-    "nvidia-nat-crewai==1.3.0rc3; python_version >= '3.11'",
-    "nvidia-nat-langchain==1.3.0rc3; python_version >= '3.11'",
+    "nvidia-nat-opentelemetry==1.3.0; python_version >= '3.11'",
+    "nvidia-nat-crewai==1.3.0; python_version >= '3.11'",
+    "nvidia-nat-langchain==1.3.0; python_version >= '3.11'",
 
     # Agent framework requirements