style: use a shell code block whenever there is a pip install

Author: honzajavorek

sources/platform/integrations/ai/agno.md

@@ -38,7 +38,7 @@ While our examples use OpenAI, Agno supports other LLM providers as well. You'll
 - _Python environment_: Ensure Python is installed (version 3.8+ recommended).
 - _Required packages_: Install the following dependencies in your terminal:
 
-```bash
+```shell
 pip install agno apify-client
 ```
 

sources/platform/integrations/ai/crewai.md

@@ -30,7 +30,7 @@ This guide demonstrates how to integrate Apify Actors with CrewAI by building a
 - **OpenAI API key**: To power the agents in CrewAI, you need an OpenAI API key. Get one from the [OpenAI platform](https://platform.openai.com/account/api-keys).
 - **Python packages**: Install the following Python packages:
 
-    ```bash
+    ```shell
     pip install 'crewai[tools]' langchain-apify langchain-openai
     ```
 

sources/platform/integrations/ai/haystack.md

@@ -19,7 +19,7 @@ The last step will be to retrieve the most similar documents.
 This example uses the Apify-Haystack Python integration published on [PyPi](https://pypi.org/project/apify-haystack/).
 Before we start with the integration, we need to install all dependencies:
 
-```bash
+```shell
 pip install apify-haystack haystack-ai
 ```
 

sources/platform/integrations/ai/langchain.md

@@ -20,7 +20,9 @@ If you prefer to use JavaScript, you can follow the  [JavaScript LangChain docum
 
 Before we start with the integration, we need to install all dependencies:
 
-`pip install langchain langchain-openai langchain-apify`
+```shell
+pip install langchain langchain-openai langchain-apify
+```
 
 After successful installation of all dependencies, we can start writing code.
 

sources/platform/integrations/ai/langflow.md

@@ -43,13 +43,13 @@ Langflow can either be installed locally or used in the cloud. The cloud version
 
 First, install the Langflow platform using Python package and project manager [uv](https://docs.astral.sh/uv/):
 
-```bash
+```shell
 uv pip install langflow
 ```
 
 After installing Langflow, you can start the platform:
 
-```bash
+```shell
 uv run langflow run
 ```
 

sources/platform/integrations/ai/langgraph.md

@@ -32,7 +32,7 @@ This guide will demonstrate how to use Apify Actors with LangGraph by building a
 
 - **Python packages**:  You need to install the following Python packages:
 
-    ```bash
+    ```shell
     pip install langgraph langchain-apify langchain-openai
     ```
 

sources/platform/integrations/ai/llama.md

@@ -22,7 +22,9 @@ You can integrate Apify dataset or Apify Actor with LlamaIndex.
 
 Before we start with the integration, we need to install all dependencies:
 
-`pip install apify-client llama-index-core llama-index-readers-apify`
+```shell
+pip install apify-client llama-index-core llama-index-readers-apify
+```
 
 After successfully installing all dependencies, we can start writing Python code.
 

sources/platform/integrations/ai/milvus.md

@@ -66,7 +66,7 @@ Another way to interact with Milvus is through the [Apify Python SDK](https://do
 
 1. Install the Apify Python SDK by running the following command:
 
-    ```py
+    ```shell
     pip install apify-client
     ```
 

sources/platform/integrations/ai/openai_assistants.md

@@ -29,7 +29,7 @@ The image below provides an overview of the entire process:
 
 Before we start creating the assistant, we need to install all dependencies:
 
-```bash
+```shell
 pip install apify-client openai
 ```
 
@@ -260,7 +260,7 @@ For more information on automating this process, check out the blog post [How we
 
 Before we start, we need to install all dependencies:
 
-```bash
+```shell
 pip install apify-client openai
 ```
 

sources/platform/integrations/ai/pinecone.md

@@ -74,7 +74,9 @@ Another way to interact with Pinecone is through the [Apify Python SDK](https://
 
 1. Install the Apify Python SDK by running the following command:
 
-    `pip install apify-client`
+    ```shell
+    pip install apify-client
+    ```
 
 1. Create a Python script and import all the necessary modules: