docs: Clarify missing dependencies in documentation (fix #6076) (#6406)

It clarifies the missing dependencies of all README.md in
python/samples/

- Added explicit mention of required dependencies
- Improved instructions for initial setup

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## Why are these changes needed?
According to issue #6076, several dependencies were missing from the
requirements.txt and not mentioned in the README.md instructions.
This change adds the missing installation instructions to ensure that
users can run the demo smoothly.


## Related issue number
Closes #6076 
<!-- For example: "Closes #1234" -->

## Checks

- [x] I've included any doc changes needed for
<https://microsoft.github.io/autogen/>. See
<https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to
build and test documentation locally.
- [x] I've added tests (if relevant) corresponding to the changes
introduced in this PR.
- [x] I've made sure all auto checks have passed.

Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>

python/samples/agentchat_chainlit/model_config.yaml

@@ -2,3 +2,4 @@
 provider: autogen_ext.models.openai.OpenAIChatCompletionClient
 config:
   model: gpt-4o
+  api_key: REPLACE_WITH_YOUR_API_KEY

python/samples/agentchat_chess_game/README.md

@@ -18,6 +18,12 @@ pip install "autogen-ext[openai]"
 # pip install "autogen-ext[openai,azure]" for Azure OpenAI models
 ```
 
+To run this sample, you will need to install the following packages:
+
+```shell
+pip install -U autogen-agentchat pyyaml
+```
+
 Create a new file named `model_config.yaml` in the the same directory as the script
 to configure the model you want to use.
 

python/samples/agentchat_fastapi/README.md

@@ -17,7 +17,7 @@ You will be using the following features of AgentChat:
 Install the required packages with OpenAI support:
 
 ```bash
-pip install -U "autogen-ext[openai]" "fastapi" "uvicorn" "PyYAML"
+pip install -U "autogen-agentchat" "autogen-ext[openai]" "fastapi" "uvicorn[standard]" "PyYAML"
 ```
 
 To use models other than OpenAI, see the [Models](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/models.html) documentation.

python/samples/agentchat_graphrag/requirements.txt

@@ -1,2 +1,3 @@
-autogen-agentchat>=0.4.0,<0.5
-autogen-ext[graphrag,openai,azure]>=0.4.0,<0.5
+autogen-agentchat
+autogen-ext
+pyyaml

python/samples/core_async_human_in_the_loop/README.md

@@ -7,7 +7,7 @@ An example showing human-in-the-loop which waits for human input before making t
 First, you need a shell with AutoGen core and required dependencies installed.
 
 ```bash
-pip install "autogen-ext[openai,azure]"
+pip install "autogen-ext[openai,azure]" "pyyaml"
 ```
 
 ## Model Configuration

python/samples/core_chess_game/README.md

@@ -7,7 +7,7 @@ An example with two chess player agents that executes its own tools to demonstra
 First, you need a shell with AutoGen core and required dependencies installed.
 
 ```bash
-pip install "autogen-ext[openai,azure]" "chess"
+pip install "autogen-ext[openai,azure]" "chess" "pyyaml"
 ```
 
 ## Model Configuration

python/samples/core_distributed-group-chat/README.md

@@ -10,7 +10,7 @@ This example runs a gRPC server using [GrpcWorkerAgentRuntimeHost](../../src/aut
 2. Install dependencies.
 
 ```bash
-pip install "autogen-ext[openai,azure,chainlit,rich,pyyaml]"
+pip install "autogen-ext[openai,azure,chainlit,rich]" "pyyaml"
 ```
 
 ### General Configuration