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Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Passed 20 of 22 test cases with the skill, and 11 of 22 without it.
and 6 more in the full report
9 fixed11 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When configuring Gemini 3 for high-complexity planning with function calling, what temperature setting should be preserved?
| Checked | Without skill | With skill |
|---|---|---|
| Sets temperature to 1.0 when enabling reasoning engines in Gemini | Missed | Passed |
The instructions your model reads when the skill loads.
Load with: base.md + llm-patterns.md + [language].md
For building autonomous AI agents that perform multi-step tasks with tools.
Sources: Claude Agent SDK | Anthropic Claude Code Best Practices | Pydantic AI | Google Gemini Agent Development | OpenAI Building Agents
| Language/Framework | Default | Why |
|---|---|---|
| Python | Pydantic AI | Type-safe, Pydantic validation, multi-model, production-ready |
| Node.js / Next.js | Claude Agent SDK | Official Anthropic SDK, tools, multi-agent, native streaming |
from pydantic_ai import Agent
from pydantic import BaseModel
class SearchResult(BaseModel):
title: str
url: str
summary: str
agent = Agent(
'claude-sonnet-4-20250514',
result_type=list[SearchResult],
system_prompt='You are a research assistant.',
)
# Type-safe result
result = await agent.run('Find articles about AI agents')
for item in result.data:
print(f"{item.title}: {item.url}")
test cases passed, vs 11 / 22 without
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