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feat(skill): unify skill activation as authorized tools

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Expose skill tools (activate/register_skill/native exec) like native tools
instead of gating them behind the skill_authoring capability:
- toolmgr.get_all_tools drops include_skill_authoring; SkillToolLoader
  self-gates on sandbox + skill_mgr
- preproc drops the include_skill_authoring branch; pipeline-bound skills
  and the skills resource gate on skill_mgr presence

Persist activated skills into host.activated_skills conversation state so
they survive across runs (host writes at activate; last-write-wins); drop
the dead restore_activated_skills helper.

Prefill ToolResource.parameters host-side (tool_mgr.get_tool_schema) so
runners build LLM tools without per-tool get_tool_detail round-trips.

Align agent-runner-pluginization design docs to the all-tool model.
This commit is contained in:
huanghuoguoguo
2026-06-21 09:27:05 +08:00
parent dcec8f654a
commit 0bd50843fe
14 changed files with 213 additions and 64 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/langbot/pkg/pipeline/preproc/preproc.py
+1 -8
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@@ -182,10 +182,6 @@ class PreProcessor(stage.PipelineStage):
uses_host_models = config_schema.uses_host_models(descriptor)
uses_host_tools = config_schema.uses_host_tools(descriptor)
include_skill_authoring = (
config_schema.supports_skill_authoring(descriptor)
and getattr(self.ap, 'skill_service', None) is not None
)
llm_model = None
if uses_host_models:
primary_uuid, fallback_uuids = config_schema.extract_model_selection(descriptor, runner_config)
@@ -243,7 +239,6 @@ class PreProcessor(stage.PipelineStage):
query.use_funcs = await self.ap.tool_mgr.get_all_tools(
bound_plugins,
bound_mcp_servers,
include_skill_authoring=include_skill_authoring,
include_mcp_resource_tools=include_mcp_resource_tools,
)
@@ -257,14 +252,12 @@ class PreProcessor(stage.PipelineStage):
query.use_funcs = await self.ap.tool_mgr.get_all_tools(
bound_plugins,
bound_mcp_servers,
include_skill_authoring=include_skill_authoring,
include_mcp_resource_tools=include_mcp_resource_tools,
)
elif uses_host_tools:
query.use_funcs = await self.ap.tool_mgr.get_all_tools(
bound_plugins,
bound_mcp_servers,
include_skill_authoring=include_skill_authoring,
include_mcp_resource_tools=include_mcp_resource_tools,
)
@@ -377,7 +370,7 @@ class PreProcessor(stage.PipelineStage):
query.prompt.messages = event_ctx.event.default_prompt
query.messages = event_ctx.event.prompt
if include_skill_authoring and getattr(self.ap, 'skill_mgr', None) is not None:
if getattr(self.ap, 'skill_mgr', None) is not None:
pipeline_data = await self.ap.pipeline_service.get_pipeline(query.pipeline_uuid)
extensions_prefs = (pipeline_data or {}).get('extensions_preferences', {})
enable_all_skills = extensions_prefs.get('enable_all_skills', True)