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strix/strix/tools/load_skill/tool.py
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0xallam 5606504563 refactor: nuke legacy harness, drop sdk_ prefixes
The SDK harness is the only path now; legacy host-side code is gone.
File names no longer carry the ``sdk_`` distinction.

Deleted legacy host-side modules:
- strix/agents/StrixAgent/ (template moved to strix/agents/prompts/)
- strix/agents/base_agent.py, state.py
- strix/llm/llm.py, config.py
- strix/runtime/docker_runtime.py, runtime.py
- strix/tools/executor.py, agents_graph/agents_graph_actions.py
- strix/interface/sdk_dispatch.py + the env-flag dispatch in cli.py

Renamed (drop ``sdk_`` prefix):
- strix/sdk_entry.py → strix/entry.py
- strix/agents/sdk_factory.py → strix/agents/factory.py
- strix/agents/sdk_prompt.py → strix/agents/prompt.py
- strix/tools/<x>/<x>_sdk_tool[s].py → strix/tools/<x>/tool[s].py
- strix/tools/_legacy_adapter.py → strix/tools/_state_adapter.py
- ``_legacy`` aliases inside the wrappers → ``_impl``

CLI + TUI now call ``run_strix_scan`` directly — they build the
sandbox image / sources_path locally and rely on
``session_manager.cleanup`` (called inside ``run_strix_scan``'s finally)
for teardown. Three TUI handlers that reached into legacy multi-agent
globals (``_agent_instances``, ``send_user_message_to_agent``,
``stop_agent``) are now no-ops with a TODO; reconnecting them to the
``AgentMessageBus`` is a follow-up.

Tracer.get_total_llm_stats no longer reaches into the deleted
``agents_graph_actions`` globals — the orchestration hooks now feed the
tracer via ``Tracer.record_llm_usage`` (live + completed buckets).
finish_scan's ``_check_active_agents`` and load_skill's runtime
``_agent_instances`` reach-in are no-op stubs; the
``AgentMessageBus`` is the source of truth post-migration.

llm/utils.py rewritten to keep only the streaming-parser helpers
(``normalize_tool_format``, ``parse_tool_invocations``,
``fix_incomplete_tool_call``, ``format_tool_call``, ``clean_content``).
``STRIX_MODEL_MAP`` moved to ``llm/multi_provider_setup.py`` (its only
remaining caller).

Per-file ruff ignores added for legacy interface modules (TUI / main /
CLI / utils / streaming_parser / tool_components) and tracer.py —
pre-existing PLC0415/BLE001/PLR0915 patterns are out of scope.

Tests: 287/287 passing. Renamed test files to drop ``sdk_`` prefix.
``test_tracer.py::test_get_total_llm_stats_aggregates_live_and_completed``
rewritten to feed ``Tracer.record_llm_usage`` instead of legacy globals.
Test file annotations added so pre-commit's strict mypy passes.
2026-04-25 09:30:23 -07:00

47 lines
1.6 KiB
Python

"""SDK function-tool wrapper for the legacy ``load_skill`` tool.
The legacy implementation reaches into ``_agent_instances`` (a global
dict the legacy multi-agent orchestrator maintains) to find the running
``Agent`` instance and call ``agent.llm.add_skills(...)``. That global
goes away under the SDK migration — Phase 3 will replace it with a
context-keyed registry, and this wrapper will be updated to read from
that registry.
For Phase 2 we ship the wrapper as-is. The legacy function falls back
to a clean error path when the agent instance lookup fails, so the
tool degrades gracefully ("Could not find running agent instance...")
until Phase 3 lands. That's better than crashing or stubbing out the
tool entirely — the model still gets a structured error it can react to.
"""
from __future__ import annotations
import asyncio
import json
from typing import Any
from agents import RunContextWrapper
from strix.tools._decorator import strix_tool
from strix.tools._state_adapter import adapter_from_ctx
from strix.tools.load_skill import load_skill_actions as _impl
def _dump(result: dict[str, Any]) -> str:
return json.dumps(result, ensure_ascii=False, default=str)
@strix_tool(timeout=60)
async def load_skill(ctx: RunContextWrapper, skills: str) -> str:
"""Load one or more named skills into this agent's prompt context.
Args:
skills: Comma-separated skill names (max 5). E.g.
``"recon,xss,sqli"``. Skill discovery uses
``strix.skills.parse_skill_list``.
"""
state = adapter_from_ctx(ctx)
return _dump(
await asyncio.to_thread(_impl.load_skill, agent_state=state, skills=skills),
)