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https://github.com/pydantic/pydantic-ai-harness.git
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David SFandGitHub
310ffadf09
* refactor: graduate capabilities out of `experimental` (ACP excepted) The `experimental` label suppressed the try->fail->report->improve loop we want from real usage, so drop it from the harness. Ten capabilities move to top-level submodules; ACP stays experimental (it may still be reshaped or moved to core, and can't be generic across agents). - Old `pydantic_ai_harness.experimental.<name>` paths keep working as DeprecationWarning shims (via `warn_moved`), so existing imports don't break. - Renames to match capability names: authoring -> runtime_authoring, overflow -> overflowing_tool_output. - Capabilities stay in individual submodules with no top-level re-export, so importing the root package never pulls in a capability's optional deps. - Docs drop the experimental framing and the "may be removed in any release" language in favor of "API subject to change". * docs: tell capability authors to ask the user when unsure about a name Per PR review: a name is a public commitment once shipped, so ask rather than guess.
7 lines
277 B
Python
7 lines
277 B
Python
"""Docs capability: an on-demand tool that locates Pydantic AI documentation."""
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from pydantic_ai_harness.docs._capability import PyaiDocs
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from pydantic_ai_harness.docs._toolset import PyaiDocsToolset, PyaiDocsTopic
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__all__ = ['PyaiDocs', 'PyaiDocsToolset', 'PyaiDocsTopic']
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