"jSSKJr SSKJrJrJr SSKJrJr SSK J r J r SSK J r Jr SSKJr SS KJrJr SS KJr \ (a SS KJr SS KJr \"S S\\ 55rSSjrSSjrSSjrg)) annotations)CallableIterableSequence) dataclassreplace) TYPE_CHECKINGAny) AgentDepsT RunContext)InstructionPart)AbstractToolset ToolsetTool)WrapperToolset)AbstractCapability)ToolDefinitioncX^\rSrSr%SrS\S'S SjrS U4SjjrS SjrSr U=r $) CapabilityOwnedToolsetz;Binds a contributed toolset to the capability that owns it.AbstractCapability[AgentDepsT] capabilityc # URRU5IShvN n[XR5nURRSLn0nUR 5HRupgUR n[U[UURb UROUU=(d URS9S9XV'MT U$N7f)NT) capability_id defer_loading)tool_def) wrapped get_toolsresolve_capability_idrritemsrrr) selfctxtoolsrrresultnametoolrs c/home/mande/repo/quber/.venv/lib/python3.13/site-packages/pydantic_ai/toolsets/_capability_owned.pyr CapabilityOwnedToolset.get_toolssll,,S11-c??C 55= 57++-JD}}H" # URRSLag[TU] U5IShvN $N7f)NT)rrsuperget_instructions)r"r# __class__s r(r,'CapabilityOwnedToolset.get_instructions(s3 ?? ( (D 0W-c2222s -757cJU"U5 URRU5 g)N)rapply)r"visitors r(r0CapabilityOwnedToolset.apply/s  7#)r#RunContext[AgentDepsT]returnz"dict[str, ToolsetTool[AgentDepsT]])r#r5r6z>str | InstructionPart | Sequence[str | InstructionPart] | None)r1z-Callable[[AbstractToolset[AgentDepsT]], None]r6None) __name__ __module__ __qualname____firstlineno____doc____annotations__rr,r0__static_attributes__ __classcell__)r-s@r(rrs0E.."3)3 G3$$r3rcxURR5H up#X1LdM Us $ [SU<S35e)zRecover the id a capability was registered under in `ctx.capabilities` for the current run. A capability with no explicit `id` is registered under a derived id (see `_build_run_capabilities`), so the resolved id only exists as a registry key. z Capability zI is not registered in this run; this is an internal error in Pydantic AI.) capabilitiesr! RuntimeError)r#rrregistered_capabilitys r(r r 4sI 140@0@0F0F0H, . 1I  j^#lm r3cUR=nSL=(a4 URRU5=nSL=(a URSL$)uWWhether an on-demand capability decides when this tool becomes available. Such a tool is hidden until its owning capability loads, and it is never searchable: no query should surface it, because the model isn't meant to reach it by asking. That's the line between the two things a deferred tool can be — hidden until something reveals it, which every deferred tool is, and a member of the searchable corpus, which only the ungated ones are. Which side a tool falls on depends on how the run is configured, not on the model serving it, so it's settled here rather than in `Model.prepare_request`. NT)rrAgetr)r#rrcaps r(is_gated_by_deferred_capabilityrGBsR#00 0= &$$((7 7S D &    %r3c0nUHbnURnUbX@R;aM#URRU5nUcMCURSLdMTX2UR 'Md U$)z^Reconstruct definitions for histories serialized before load returns carried tool definitions.T)rloaded_capability_idsrArErr&)r# tool_defsr%rrrs r(*tool_defs_from_pre_definition_load_returnsrKSsn)+F ..  M9R9R$R %%))-8  !j&>&>$&F$,8== !  Mr3N)r#r5rrr6str)r#RunContext[Any]rrr6bool)r#rMrJzIterable[ToolDefinition]r6zdict[str, ToolDefinition]) __future__rcollections.abcrrr dataclassesrrtypingr r _run_contextr r messagesrabstractrrwrapperrrArr$rrr rGrKr4r3r(rWsq"88*%1&2#1& $^J7$ $D "   %=  r3