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.
Adds the env-var gate that lets users opt into the SDK harness without
disturbing the legacy default. Per PLAYBOOK §7.1, this is the cutover
mechanism: STRIX_USE_SDK_HARNESS=1 routes scans through run_strix_scan
(the Phase 5 entry point); anything else continues to use
StrixAgent.execute_scan.
- strix/interface/sdk_dispatch.py:
- should_use_sdk_harness(): truthy-string parse of the env var.
- _resolve_sandbox_image(): reads strix_image from Config; falls
back to "strix-sandbox:latest" with a warning if unset.
- _resolve_sources_path(): when --local-sources is given, mounts
its parent so the agent walks down to the source tree; otherwise
creates a per-run scratch dir under XDG_CACHE_HOME/strix/sources/.
Phase 6 will replace this with the legacy clone-into-container
flow once we port that.
- run_scan_via_sdk(): the adapter — translates the legacy CLI
(scan_config dict + argparse Namespace + Tracer) into the keyword
arguments run_strix_scan expects. Returns the SDK RunResult; lets
failures bubble up.
- strix/interface/cli.py: adds the dispatch branch inside the existing
Live/status loop. Legacy default unchanged; SDK path is reached only
when STRIX_USE_SDK_HARNESS is truthy. Two pre-existing lazy imports
hoisted to module level (cleanup_runtime + sdk_dispatch helpers) so
ruff is happy.
Pre-existing legacy lint/type issues surfaced when pre-commit checked
the edited cli.py and chased imports — fixed or ignored in passing:
- utils.py:1052 duplicate ``metadata`` annotation removed.
- utils.py:1251 unused ``# type: ignore[import-not-found]`` for yarl.
- main.py:456 ``panel_parts`` inferred type rejected later string
entries — explicit ``list[Text | str]`` annotation.
- utils.py:resolve_diff_scope_context PLR0912 (16 branches) per-file
ignore — branches map 1:1 to scope-mode × target-type combinations.
Tests: 18 new tests in tests/interface/test_sdk_dispatch.py — env
flag parsing parametrized over truthy/falsy variants, image lookup
with config hit + miss-with-warning, sources path resolution for
local_sources / alternative key names / scratch-dir creation, and
the adapter's kwarg handoff verified against a patched
run_strix_scan (run_name from args + run_name from scan_config
fallback + failure propagation).
Refs: PLAYBOOK.md §7.1 (cutover), §7.2 (rollback).
Re-architects the agent loop to support interactive (chat-like) mode
where text-only responses pause execution and wait for user input,
while tool-call responses continue looping autonomously.
- Add `interactive` flag to LLMConfig (default False, no regression)
- Add configurable `waiting_timeout` to AgentState (0 = disabled)
- _process_iteration returns None for text-only → agent_loop pauses
- Conditional system prompt: interactive allows natural text responses
- Skip <meta>Continue the task.</meta> injection in interactive mode
- Sub-agents inherit interactive from parent (300s auto-resume timeout)
- Root interactive agents wait indefinitely for user input (timeout=0)
- TUI sets interactive=True; CLI unchanged (non_interactive=True)
Add automatic cleanup of Docker containers when the application exits.
Uses a singleton runtime pattern and spawns a detached subprocess for
cleanup to ensure fast exit without blocking the UI.
- Add _wait_for_tool_server_health() to verify tool server is responding after init
- Show error details in CLI mode when penetration test fails
- Simplify error message (remove technical URL details)
Introduces scan mode selection to control testing depth and methodology:
- quick: optimized for CI/CD, focuses on recent changes and high-impact vulns
- standard: balanced coverage with systematic methodology
- deep: exhaustive testing with hierarchical agent swarm (now default)
Each mode has dedicated prompt modules with detailed pentesting guidelines
covering reconnaissance, mapping, business logic analysis, exploitation,
and vulnerability chaining strategies.
Closes#152
0xallam