vercel-labs/ai-python

ai

AI SDK for Python (the `ai` package). Use when writing Python that calls LLMs or dedicated image, video, speech, embedding, transcription, or reranking models; builds agents; tests model interactions; or implements tool calling, subagents, approvals, durable execution, telemetry, AI SDK UI backends, and custom providers.

First seen Apr 13, 2026

Installation

$ npx skills add vercel-labs/ai-python --skill ai

Summary

  • AI SDK for Python (the `ai` package).
  • Use when writing Python that calls LLMs or dedicated image, video, speech, embedding, transcription, or reranking models; builds agents; tests model interactions; or implements tool calling, subagents, approvals, durable execution, telemetry, AI SDK UI backends, and custom providers.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from vercel-labs/ai-python · top by installs.

npx skills add vercel-labs/ai-python

Browse all from vercel-labs/ai-python

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 178
License LICENSE
Default branch main
Open issues 4
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

More metadata
sdk-version
0.5.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,393 B
  • docs SUMMARY.md 332 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 134 installs

SKILL.md

AI SDK for Python

Package: ai. Requires Python 3.12+. Install with uv add ai.

Unprefixed model IDs use AI Gateway and AIGATEWAYAPI_KEY. Direct providers use provider:model, their API key, and an extra:

uv add "ai[openai]"     # OPENAI_API_KEY,    ai.get_model("openai:gpt-5")
uv add "ai[anthropic]"  # ANTHROPIC_API_KEY, ai.get_model("anthropic:claude-sonnet-4")

Basic use

Use ai.stream for one model call without Python tool execution:

import ai

model = ai.get_model("anthropic/claude-sonnet-4")
messages = [
    ai.system_message("Be concise."),
    ai.user_message("Write a haiku about rain."),
]

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
message = stream.message

Use ai.Agent for a loop that executes Python tools and manages history:

@ai.tool
async def get_weather(city: str) -> str:
    """Get the weather for a city."""
    return "Sunny"


agent = ai.Agent(tools=[get_weather])
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

These examples are sufficient for basic model calls, messages, tools, and agents.

Advanced work

For an advanced task, fetch its page under https://ai-python.dev/docs/ and read the listed local notes before writing code.

Task Page Local notes
Provider clients, options, discovery basics/providers.md
Structured output, complex streams basics/streaming.md
Buffered language-model calls basics/streaming.md
Images, video, speech, embeddings, transcription, reranking basics/model-operations.md
Events and serialization basics/messages-and-events.md
Advanced tools, streaming, aggregation basics/tools.md [streaming-tools.md](references/streaming-tools.md)
Advanced agent behavior basics/agents.md
Deterministic model and agent tests basics/testing.md
Subagents and multi-agent basics/subagents-and-multi-agent.md [streaming-tools.md](references/streaming-tools.md)
Custom agent loops basics/custom-loops.md [custom-loops.md](references/custom-loops.md)
Approvals and hooks basics/human-in-the-loop.md
Serverless resume basics/human-in-the-loop.md [serverless.md](references/serverless.md)
Durable execution basics/durable-execution.md [durable.md](references/durable.md)
Telemetry and tracing basics/telemetry.md
AI SDK UI backends basics/ai-sdk-ui.md [ui.md](references/ui.md)
Custom providers basics/providers.md [custom-provider.md](references/custom-provider.md)

For exact APIs, use reference.md and the relevant reference/*.md page.