fix numerous typos

Makefile

@@ -80,8 +80,9 @@ else ifeq ($(PPPR_TOKEN),)
 	@exit 1
 else
 	@echo 'installing insiders packages...'
-	@uv pip install -U mkdocs-material mkdocstrings-python \
-		--extra-index-url https://pydantic:${PPPR_TOKEN}@pppr.pydantic.dev/simple/
+	@uv pip install -U \
+		--extra-index-url https://pydantic:${PPPR_TOKEN}@pppr.pydantic.dev/simple/ \
+		mkdocs-material mkdocstrings-python
 endif
 
 .PHONY: docs-insiders  # Build the documentation using insiders packages
@@ -98,10 +99,10 @@ cf-pages-build:
 	uv python install 3.12
 	uv sync --python 3.12 --frozen --group docs
 	uv pip install -U \
-		--extra-index-url https://pydantic:$(PPPR_TOKEN)@pppr.pydantic.dev/simple/ \
+		--extra-index-url https://pydantic:${PPPR_TOKEN}@pppr.pydantic.dev/simple/ \
 		mkdocs-material mkdocstrings-python
 	uv pip freeze
-	uv run --no-sync mkdocs build
+	uv run --no-sync mkdocs build -f mkdocs.insiders.yml
 
 .PHONY: all
 all: format lint typecheck testcov

docs/examples/index.md

@@ -1,6 +1,6 @@
 # Examples
 
-Examples of how to use Pydantic AI and what it can do.
+Examples of how to use PydanticAI and what it can do.
 
 ## Usage
 

docs/examples/pydantic-model.md

@@ -1,4 +1,6 @@
-Simple example of using Pydantic AI to construct a Pydantic model from a text input.
+# Pydantic Model
+
+Simple example of using PydanticAI to construct a Pydantic model from a text input.
 
 Demonstrates:
 

docs/examples/rag.md

@@ -9,7 +9,7 @@ Demonstrates:
 * RAG search
 
 This is done by creating a database containing each section of the markdown documentation, then registering
-the search tool as a retriever with the Pydantic AI agent.
+the search tool as a retriever with the PydanticAI agent.
 
 Logic for extracting sections from markdown files and a JSON file with that data is available in
 [this gist](https://gist.github.com/samuelcolvin/4b5bb9bb163b1122ff17e29e48c10992).
@@ -34,7 +34,7 @@ With that running and [dependencies installed and environment variables set](./i
 python/uv-run -m pydantic_ai_examples.rag build
 ```
 
-(Note building the database doesn't use Pydantic AI right now, instead it uses the OpenAI SDK directly.)
+(Note building the database doesn't use PydanticAI right now, instead it uses the OpenAI SDK directly.)
 
 You can then ask the agent a question with:
 

docs/examples/sql-gen.md

@@ -1,6 +1,6 @@
 # SQL Generation
 
-Example demonstrating how to use Pydantic AI to generate SQL queries based on user input.
+Example demonstrating how to use PydanticAI to generate SQL queries based on user input.
 
 Demonstrates:
 

docs/examples/weather-agent.md

@@ -1,4 +1,4 @@
-Example of Pydantic AI with multiple tools which the LLM needs to call in turn to answer a question.
+Example of PydanticAI with multiple tools which the LLM needs to call in turn to answer a question.
 
 Demonstrates:
 

pydantic_ai_examples/README.md

@@ -1,5 +1,5 @@
-# Pydantic AI Examples
+# PydanticAI Examples
 
-Examples of how to use Pydantic AI and what it can do.
+Examples of how to use PydanticAI and what it can do.
 
 Full documentation of these examples and how to run them is available at [ai.pydantic.dev/examples/](https://ai.pydantic.dev/examples/).

pydantic_ai_examples/pydantic_model.py

@@ -1,4 +1,4 @@
-"""Simple example of using Pydantic AI to construct a Pydantic model from a text input.
+"""Simple example of using PydanticAI to construct a Pydantic model from a text input.
 
 Run with:
 

pydantic_ai_examples/pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "pydantic-ai-examples"
 version = "0.0.6"
-description = "Agent Framework / shim to use Pydantic with LLMs"
+description = "Examples of how to use PydanticAI and what it can do."
 authors = [
     { name = "Samuel Colvin", email = "samuel@pydantic.dev" },
 ]

pydantic_ai_examples/roulette_wheel.py

@@ -1,4 +1,4 @@
-"""Example demonstrating how to use Pydantic AI to create a simple roulette game.
+"""Example demonstrating how to use PydanticAI to create a simple roulette game.
 
 Run with:
     uv run -m pydantic_ai_examples.roulette_wheel

pydantic_ai_examples/sql_gen.py

@@ -1,4 +1,4 @@
-"""Example demonstrating how to use Pydantic AI to generate SQL queries based on user input.
+"""Example demonstrating how to use PydanticAI to generate SQL queries based on user input.
 
 Run postgres with:
 

pydantic_ai_examples/weather_agent.py

@@ -1,4 +1,4 @@
-"""Example of Pydantic AI with multiple tools which the LLM needs to call in turn to answer a question.
+"""Example of PydanticAI with multiple tools which the LLM needs to call in turn to answer a question.
 
 In this case the idea is a "weather" agent — the user can ask for the weather in multiple cities,
 the agent will use the `get_lat_lng` tool to get the latitude and longitude of the locations, then use

pydantic_ai_slim/pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "pydantic-ai-slim"
 version = "0.0.6"
-description = "Agent Framework / shim to use Pydantic with LLMs"
+description = "Agent Framework / shim to use Pydantic with LLMs, slim package"
 authors = [
     { name = "Samuel Colvin", email = "samuel@pydantic.dev" },
 ]