[DATALAD RUNCMD] run codespell throughout fixing few left typos automagically

=== Do not change lines below ===
{
 "chain": [],
 "cmd": "codespell -w",
 "exit": 0,
 "extra_inputs": [],
 "inputs": [],
 "outputs": [],
 "pwd": "."
}
^^^ Do not change lines above ^^^

Author: yarikoptic

docs/graph.md

@@ -450,7 +450,7 @@ class Feedback(BaseNode[State, None, Email]):
 async def main():
     user = User(
         name='John Doe',
-        email='john.joe@exmaple.com',
+        email='john.joe@example.com',
         interests=['Haskel', 'Lisp', 'Fortran'],
     )
     state = State(user)

docs/tools.md

@@ -186,7 +186,7 @@ sequenceDiagram
 
 ## Registering Function Tools via kwarg
 
-As well as using the decorators, we can register tools via the `tools` argument to the [`Agent` constructor][pydantic_ai.Agent.__init__]. This is useful when you want to re-use tools, and can also give more fine-grained control over the tools.
+As well as using the decorators, we can register tools via the `tools` argument to the [`Agent` constructor][pydantic_ai.Agent.__init__]. This is useful when you want to reuse tools, and can also give more fine-grained control over the tools.
 
 ```python {title="dice_game_tool_kwarg.py"}
 import random

pydantic_ai_slim/pydantic_ai/models/mistral.py

@@ -600,7 +600,7 @@ def _map_content(content: MistralOptionalNullable[MistralContent]) -> str | None
     elif isinstance(content, str):
         result = content
 
-    # Note: Check len to handle potential mismatch between function calls and responses from the API. (`msg: not the same number of function class and reponses`)
+    # Note: Check len to handle potential mismatch between function calls and responses from the API. (`msg: not the same number of function class and responses`)
     if result and len(result) == 0:
         result = None
 

pydantic_ai_slim/pydantic_ai/models/ollama.py

@@ -80,7 +80,7 @@ def __init__(
     ):
         """Initialize an Ollama model.
 
-        Ollama has built-in compatability for the OpenAI chat completions API ([source](https://ollama.com/blog/openai-compatibility)), so we reuse the
+        Ollama has built-in compatibility for the OpenAI chat completions API ([source](https://ollama.com/blog/openai-compatibility)), so we reuse the
         [`OpenAIModel`][pydantic_ai.models.openai.OpenAIModel] here.
 
         Args: