docs: add module docstrings to example scripts

examples/chat-stream.py

@@ -1,3 +1,15 @@
+"""Streaming chat response.
+
+Prints tokens as they are generated instead of waiting for the full
+response, providing a real-time typing effect.
+
+Prerequisites:
+    ollama pull gemma3
+
+Usage:
+    python chat-stream.py
+"""
+
 from ollama import chat
 
 messages = [

examples/chat-with-history.py

@@ -1,3 +1,15 @@
+"""Multi-turn chat with conversation history.
+
+Sends multiple messages in sequence, maintaining context across turns
+so the model can reference earlier parts of the conversation.
+
+Prerequisites:
+    ollama pull gemma3
+
+Usage:
+    python chat-with-history.py
+"""
+
 from ollama import chat
 
 messages = [

examples/chat.py

@@ -1,3 +1,14 @@
+"""Basic chat completion.
+
+Sends a single user message and prints the model's response.
+
+Prerequisites:
+    ollama pull gemma3
+
+Usage:
+    python chat.py
+"""
+
 from ollama import chat
 
 messages = [

examples/embed.py

@@ -1,3 +1,15 @@
+"""Generate text embeddings.
+
+Produces a vector embedding for the given input text, useful for
+semantic search, clustering, and similarity comparisons.
+
+Prerequisites:
+    ollama pull llama3.2
+
+Usage:
+    python embed.py
+"""
+
 from ollama import embed
 
 response = embed(model='llama3.2', input='Hello, world!')

examples/generate.py

@@ -1,3 +1,14 @@
+"""Basic text generation.
+
+Generates a response from a prompt without conversation history.
+
+Prerequisites:
+    ollama pull gemma3
+
+Usage:
+    python generate.py
+"""
+
 from ollama import generate
 
 response = generate('gemma3', 'Why is the sky blue?')

examples/multimodal-chat.py

@@ -1,3 +1,15 @@
+"""Multimodal chat with image input.
+
+Sends an image alongside a text prompt, allowing the model to describe
+or answer questions about the image content.
+
+Prerequisites:
+    ollama pull gemma3
+
+Usage:
+    python multimodal-chat.py
+"""
+
 from ollama import chat
 
 # from pathlib import Path

examples/structured-outputs.py

@@ -1,3 +1,16 @@
+"""Structured JSON output with Pydantic validation.
+
+Forces the model to return JSON conforming to a Pydantic schema,
+then validates the response automatically.
+
+Prerequisites:
+    pip install pydantic
+    ollama pull llama3.1:8b
+
+Usage:
+    python structured-outputs.py
+"""
+
 from pydantic import BaseModel
 
 from ollama import chat

examples/tools.py

@@ -1,3 +1,15 @@
+"""Tool calling (function calling) with Ollama.
+
+Demonstrates how to define Python functions as tools that the model can
+invoke, dispatch the calls, and feed results back into the conversation.
+
+Prerequisites:
+    ollama pull llama3.1
+
+Usage:
+    python tools.py
+"""
+
 from ollama import ChatResponse, chat