Samuel Colvin samuelcolvin

## genai_pydantic_ai.py
# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "logfire",
#     "pydantic-ai-slim[google]",
# ]
# ///
import logfire

from pydantic_ai import Agent

## README.md

      
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                samuelcolvin
                / README.md
            
            
              Created
              June 20, 2025 07:41
            
          
    Python HTTP clients

Results:
➤ uv run with_httpx.py  
time taken to make 10000 requests: 20.2337 seconds
Counter({200: 10000})

➤ uv run with_thread_pool.py 


## logfire_instrument_openai_agents.py
from typing_extensions import TypedDict

import logfire
from httpx import AsyncClient
from agents import RunContextWrapper, Agent, function_tool, Runner
from agents.tool import WebSearchTool

logfire.configure()
logfire.instrument_openai_agents()

## active.html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Am I active</title>
</head>
<body>
  <input name="testing"/>
  <div class="context" style="margin-bottom: 100px">

## a_output.txt
PointPydanticBaseModel v2.10.4: 538ns
PointPydanticTypedDict v2.10.4: 247ns
                 attrs v24.3.0: 551ns

## ruff_format_broken.py
import json
from dataclasses import dataclass
from typing import Annotated, Any, Callable, Union

import pydantic_core
import pytest
from inline_snapshot import snapshot
from pydantic import BaseModel, Field
from pydantic_core import PydanticSerializationError

## logfire_docs.json
[
  {
    "id": 0,
    "parent": null,
    "path": "roadmap.md",
    "level": 1,
    "title": "Roadmap",
    "content": "Here is the roadmap for **Pydantic Logfire**. This is a living document, and it will be updated as we progress.\n\nIf you have any questions, or a feature request, **please join our [Slack][slack]**."
  },
  {

## logfire_example.py
"""
To run install:
    logfire[fastapi]
    fastapi
    uvicorn
"""
import time
import logfire
import uvicorn
from fastapi import FastAPI

## tinify.py
#!/usr/bin/env python3
import os
import subprocess
import sys
from pathlib import Path
import tinify

# TODO find a way to check if files have already been tinified before processing
tinify.key = os.getenv('TINIFY_KEY')
if not tinify.key:

## cargo_list.py
from __future__ import annotations
import asyncio
import csv
import sys
from dataclasses import dataclass, asdict, fields
from pathlib import Path
from typing import Literal
import toml

from httpx import AsyncClient
	# /// script
	# requires-python = ">=3.12"
	# dependencies = [
	# "logfire",
	# "pydantic-ai-slim[google]",
	# ]
	# ///
	import logfire

	from pydantic_ai import Agent
	from typing_extensions import TypedDict

	import logfire
	from httpx import AsyncClient
	from agents import RunContextWrapper, Agent, function_tool, Runner
	from agents.tool import WebSearchTool

	logfire.configure()
	logfire.instrument_openai_agents()
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Am I active</title>
	</head>
	<body>
	<input name="testing"/>
	<div class="context" style="margin-bottom: 100px">
	PointPydanticBaseModel v2.10.4: 538ns
	PointPydanticTypedDict v2.10.4: 247ns
	attrs v24.3.0: 551ns
	import json
	from dataclasses import dataclass
	from typing import Annotated, Any, Callable, Union

	import pydantic_core
	import pytest
	from inline_snapshot import snapshot
	from pydantic import BaseModel, Field
	from pydantic_core import PydanticSerializationError
	[
	{
	"id": 0,
	"parent": null,
	"path": "roadmap.md",
	"level": 1,
	"title": "Roadmap",
	"content": "Here is the roadmap for Pydantic Logfire. This is a living document, and it will be updated as we progress.\n\nIf you have any questions, or a feature request, please join our [Slack][slack]."
	},
	{
	"""
	To run install:
	logfire[fastapi]
	fastapi
	uvicorn
	"""
	import time
	import logfire
	import uvicorn
	from fastapi import FastAPI
	#!/usr/bin/env python3
	import os
	import subprocess
	import sys
	from pathlib import Path
	import tinify

	# TODO find a way to check if files have already been tinified before processing
	tinify.key = os.getenv('TINIFY_KEY')
	if not tinify.key:
	from __future__ import annotations
	import asyncio
	import csv
	import sys
	from dataclasses import dataclass, asdict, fields
	from pathlib import Path
	from typing import Literal
	import toml

	from httpx import AsyncClient