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ai-python-basics
Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when building serverless AI SDK for Python endpoints, handling hook approvals, deferring hooks, or resuming runs across requests.
Use when connecting AI SDK for Python streams to AI SDK UI useChat clients.
Use for AI SDK for Python async-generator tools, streaming tool output, subagent tools, PartialToolCallResult events, and custom tool aggregation.
Use for the subagent-as-a-tool pattern.
Use when building custom agent loops. Modify tool dispatch, history management, hooks, control flow.
Use for implementing custom providers in AI SDK for Python.
| name | ai-python-basics |
| description | Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent. |
| metadata | {"sdk-version":"0.2.1"} |
Requires Python 3.12 or later. Install with uv add ai.
Use import ai.
For gateway-routed model IDs, set AI_GATEWAY_API_KEY.
Core pieces:
Model selects the provider and model.ai.stream makes one model call and returns one assistant message.ai.Agent wraps ai.stream in a loop that executes Python tools and manages
history.Use gateway model IDs unless you need a direct provider:
model = ai.get_model("anthropic/claude-sonnet-4")
Direct providers need extras:
uv add "ai[openai]"
uv add "ai[anthropic]"
Messages are typed Python objects:
messages = [
ai.system_message("Be concise."),
ai.user_message("Write a haiku about rain."),
]
Minimal agent happy path:
import asyncio
import ai
@ai.tool
async def get_weather(city: str) -> str:
"""Get the weather for a city."""
return "Sunny"
async def main() -> None:
model = ai.get_model("anthropic/claude-sonnet-4")
agent = ai.Agent(tools=[get_weather])
messages = [
ai.system_message("Use tools when useful."),
ai.user_message("What is the weather in San Francisco?"),
]
async with agent.run(model, messages) as run:
async for event in run:
if isinstance(event, ai.events.TextDelta):
print(event.chunk, end="", flush=True)
answer = run.output
history = run.messages
if __name__ == "__main__":
asyncio.run(main())
For one model call without Python tool execution, use ai.stream:
async with ai.stream(model, messages) as stream:
async for event in stream:
if isinstance(event, ai.events.TextDelta):
print(event.chunk, end="", flush=True)
answer = stream.output
messages.append(stream.message)
Use ai-python-custom-loop, ai-python-subagents,
ai-python-streaming-tools, ai-python-serverless-execution,
ai-python-durable-execution, ai-python-ui-adapter, and
ai-python-custom-provider for advanced patterns.