mirror of
https://github.com/usestrix/strix.git
synced 2026-11-14 09:01:25 +00:00
chore: normalize line endings to LF via .gitattributes
This commit is contained in:
criss717
parent
ebd96a0d22
commit
5feda55c74
4 changed files with 1206 additions and 1204 deletions
2
.gitattributes
vendored
Normal file
2
.gitattributes
vendored
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
* text=auto
|
||||
*.sh text eol=lf
|
||||
File diff suppressed because it is too large
Load diff
|
|
@ -1,157 +1,157 @@
|
|||
"""Strix application settings — pydantic-settings powered."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import AliasChoices, Field
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
ReasoningEffort = Literal["none", "minimal", "low", "medium", "high", "xhigh", "max"]
|
||||
|
||||
DEFAULT_MAX_TURNS = 500
|
||||
|
||||
_BASE_CONFIG = SettingsConfigDict(
|
||||
case_sensitive=False,
|
||||
populate_by_name=True,
|
||||
extra="ignore",
|
||||
)
|
||||
|
||||
|
||||
class LlmSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
model: str | None = Field(default=None, alias="STRIX_LLM")
|
||||
api_key: str | None = Field(
|
||||
default=None,
|
||||
validation_alias=AliasChoices("LLM_API_KEY", "OPENAI_API_KEY"),
|
||||
repr=False,
|
||||
)
|
||||
api_base: str | None = Field(
|
||||
default=None,
|
||||
validation_alias=AliasChoices(
|
||||
"LLM_API_BASE",
|
||||
"OPENAI_API_BASE",
|
||||
"OPENAI_BASE_URL",
|
||||
"LITELLM_BASE_URL",
|
||||
"OLLAMA_API_BASE",
|
||||
),
|
||||
)
|
||||
extra_headers: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
alias="LLM_EXTRA_HEADERS",
|
||||
repr=False,
|
||||
)
|
||||
reasoning_effort: ReasoningEffort = Field(default="high", alias="STRIX_REASONING_EFFORT")
|
||||
force_required_tool_choice: bool = Field(
|
||||
default=False,
|
||||
alias="STRIX_FORCE_REQUIRED_TOOL_CHOICE",
|
||||
)
|
||||
prompt_cache: bool = Field(
|
||||
default=True,
|
||||
alias="STRIX_PROMPT_CACHE",
|
||||
)
|
||||
disable_streaming: bool = Field(
|
||||
default=False,
|
||||
alias="LLM_DISABLE_STREAMING",
|
||||
)
|
||||
timeout: int = Field(default=300, alias="LLM_TIMEOUT")
|
||||
stream_idle_timeout: int = Field(default=300, ge=0, alias="LLM_STREAM_IDLE_TIMEOUT")
|
||||
max_tool_calls_per_turn: int = Field(
|
||||
default=32,
|
||||
ge=0,
|
||||
alias="LLM_MAX_TOOL_CALLS_PER_TURN",
|
||||
)
|
||||
|
||||
|
||||
class DedupeSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
model: str | None = Field(default=None, alias="STRIX_DEDUPE_MODEL")
|
||||
reasoning_effort: ReasoningEffort | None = Field(
|
||||
default=None,
|
||||
alias="STRIX_DEDUPE_REASONING_EFFORT",
|
||||
)
|
||||
api_key: str | None = Field(default=None, alias="DEDUPE_LLM_API_KEY", repr=False)
|
||||
api_base: str | None = Field(default=None, alias="DEDUPE_LLM_API_BASE")
|
||||
extra_headers: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
alias="DEDUPE_LLM_EXTRA_HEADERS",
|
||||
repr=False,
|
||||
)
|
||||
|
||||
|
||||
class ContextSettings(BaseSettings):
|
||||
"""Context-window management: per-tool-output caps and history compaction."""
|
||||
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
auto_compact: bool = Field(default=True, alias="STRIX_CONTEXT_AUTO_COMPACT")
|
||||
compact_buffer_tokens: int = Field(default=20_000, gt=0, alias="STRIX_CONTEXT_BUFFER_TOKENS")
|
||||
keep_tokens: int = Field(default=8_000, gt=0, alias="STRIX_CONTEXT_KEEP_TOKENS")
|
||||
fallback_context_tokens: int = Field(
|
||||
default=200_000, gt=0, alias="STRIX_CONTEXT_FALLBACK_TOKENS"
|
||||
)
|
||||
summary_max_tokens: int = Field(default=4_096, gt=0, alias="STRIX_CONTEXT_SUMMARY_TOKENS")
|
||||
tool_output_max_tokens: int = Field(default=8_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_TOKENS")
|
||||
tool_output_max_lines: int = Field(default=2_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_LINES")
|
||||
# Floor above the truncation-notice size so a preview always fits.
|
||||
tool_output_max_bytes: int = Field(
|
||||
default=50 * 1024, ge=1024, alias="STRIX_TOOL_OUTPUT_MAX_BYTES"
|
||||
)
|
||||
|
||||
|
||||
class RuntimeSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
image: str = Field(
|
||||
default="ghcr.io/usestrix/strix-sandbox:1.3.0",
|
||||
alias="STRIX_IMAGE",
|
||||
)
|
||||
backend: str = Field(default="docker", alias="STRIX_RUNTIME_BACKEND")
|
||||
# Max screenshot/image tool outputs kept live per agent context (0 = none).
|
||||
max_context_images: int = Field(default=3, ge=0, alias="STRIX_MAX_CONTEXT_IMAGES")
|
||||
|
||||
|
||||
class TelemetrySettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
enabled: bool = Field(default=True, alias="STRIX_TELEMETRY")
|
||||
|
||||
|
||||
class IntegrationSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
perplexity_api_key: str | None = Field(
|
||||
default=None,
|
||||
alias="PERPLEXITY_API_KEY",
|
||||
repr=False,
|
||||
)
|
||||
postman_api_key: str | None = Field(
|
||||
default=None,
|
||||
alias="POSTMAN_API_KEY",
|
||||
repr=False,
|
||||
)
|
||||
|
||||
|
||||
class ViewerSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
# Base URL of the Strix relay the local viewer proxies to for email
|
||||
# verification and encrypted report delivery. The browser never talks to
|
||||
# the relay directly; the local server is the only caller.
|
||||
app_url: str = Field(default="https://app.strix.ai", alias="STRIX_APP_URL")
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
language: str = Field(default="en", alias="STRIX_LANGUAGE")
|
||||
llm: LlmSettings = Field(default_factory=LlmSettings)
|
||||
dedupe: DedupeSettings = Field(default_factory=DedupeSettings)
|
||||
runtime: RuntimeSettings = Field(default_factory=RuntimeSettings)
|
||||
context: ContextSettings = Field(default_factory=ContextSettings)
|
||||
telemetry: TelemetrySettings = Field(default_factory=TelemetrySettings)
|
||||
integrations: IntegrationSettings = Field(default_factory=IntegrationSettings)
|
||||
viewer: ViewerSettings = Field(default_factory=ViewerSettings)
|
||||
"""Strix application settings — pydantic-settings powered."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import AliasChoices, Field
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
ReasoningEffort = Literal["none", "minimal", "low", "medium", "high", "xhigh", "max"]
|
||||
|
||||
DEFAULT_MAX_TURNS = 500
|
||||
|
||||
_BASE_CONFIG = SettingsConfigDict(
|
||||
case_sensitive=False,
|
||||
populate_by_name=True,
|
||||
extra="ignore",
|
||||
)
|
||||
|
||||
|
||||
class LlmSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
model: str | None = Field(default=None, alias="STRIX_LLM")
|
||||
api_key: str | None = Field(
|
||||
default=None,
|
||||
validation_alias=AliasChoices("LLM_API_KEY", "OPENAI_API_KEY"),
|
||||
repr=False,
|
||||
)
|
||||
api_base: str | None = Field(
|
||||
default=None,
|
||||
validation_alias=AliasChoices(
|
||||
"LLM_API_BASE",
|
||||
"OPENAI_API_BASE",
|
||||
"OPENAI_BASE_URL",
|
||||
"LITELLM_BASE_URL",
|
||||
"OLLAMA_API_BASE",
|
||||
),
|
||||
)
|
||||
extra_headers: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
alias="LLM_EXTRA_HEADERS",
|
||||
repr=False,
|
||||
)
|
||||
reasoning_effort: ReasoningEffort = Field(default="high", alias="STRIX_REASONING_EFFORT")
|
||||
force_required_tool_choice: bool = Field(
|
||||
default=False,
|
||||
alias="STRIX_FORCE_REQUIRED_TOOL_CHOICE",
|
||||
)
|
||||
prompt_cache: bool = Field(
|
||||
default=True,
|
||||
alias="STRIX_PROMPT_CACHE",
|
||||
)
|
||||
disable_streaming: bool = Field(
|
||||
default=False,
|
||||
alias="LLM_DISABLE_STREAMING",
|
||||
)
|
||||
timeout: int = Field(default=300, alias="LLM_TIMEOUT")
|
||||
stream_idle_timeout: int = Field(default=300, ge=0, alias="LLM_STREAM_IDLE_TIMEOUT")
|
||||
max_tool_calls_per_turn: int = Field(
|
||||
default=32,
|
||||
ge=0,
|
||||
alias="LLM_MAX_TOOL_CALLS_PER_TURN",
|
||||
)
|
||||
|
||||
|
||||
class DedupeSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
model: str | None = Field(default=None, alias="STRIX_DEDUPE_MODEL")
|
||||
reasoning_effort: ReasoningEffort | None = Field(
|
||||
default=None,
|
||||
alias="STRIX_DEDUPE_REASONING_EFFORT",
|
||||
)
|
||||
api_key: str | None = Field(default=None, alias="DEDUPE_LLM_API_KEY", repr=False)
|
||||
api_base: str | None = Field(default=None, alias="DEDUPE_LLM_API_BASE")
|
||||
extra_headers: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
alias="DEDUPE_LLM_EXTRA_HEADERS",
|
||||
repr=False,
|
||||
)
|
||||
|
||||
|
||||
class ContextSettings(BaseSettings):
|
||||
"""Context-window management: per-tool-output caps and history compaction."""
|
||||
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
auto_compact: bool = Field(default=True, alias="STRIX_CONTEXT_AUTO_COMPACT")
|
||||
compact_buffer_tokens: int = Field(default=20_000, gt=0, alias="STRIX_CONTEXT_BUFFER_TOKENS")
|
||||
keep_tokens: int = Field(default=8_000, gt=0, alias="STRIX_CONTEXT_KEEP_TOKENS")
|
||||
fallback_context_tokens: int = Field(
|
||||
default=200_000, gt=0, alias="STRIX_CONTEXT_FALLBACK_TOKENS"
|
||||
)
|
||||
summary_max_tokens: int = Field(default=4_096, gt=0, alias="STRIX_CONTEXT_SUMMARY_TOKENS")
|
||||
tool_output_max_tokens: int = Field(default=8_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_TOKENS")
|
||||
tool_output_max_lines: int = Field(default=2_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_LINES")
|
||||
# Floor above the truncation-notice size so a preview always fits.
|
||||
tool_output_max_bytes: int = Field(
|
||||
default=50 * 1024, ge=1024, alias="STRIX_TOOL_OUTPUT_MAX_BYTES"
|
||||
)
|
||||
|
||||
|
||||
class RuntimeSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
image: str = Field(
|
||||
default="ghcr.io/usestrix/strix-sandbox:1.3.0",
|
||||
alias="STRIX_IMAGE",
|
||||
)
|
||||
backend: str = Field(default="docker", alias="STRIX_RUNTIME_BACKEND")
|
||||
# Max screenshot/image tool outputs kept live per agent context (0 = none).
|
||||
max_context_images: int = Field(default=3, ge=0, alias="STRIX_MAX_CONTEXT_IMAGES")
|
||||
|
||||
|
||||
class TelemetrySettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
enabled: bool = Field(default=True, alias="STRIX_TELEMETRY")
|
||||
|
||||
|
||||
class IntegrationSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
perplexity_api_key: str | None = Field(
|
||||
default=None,
|
||||
alias="PERPLEXITY_API_KEY",
|
||||
repr=False,
|
||||
)
|
||||
postman_api_key: str | None = Field(
|
||||
default=None,
|
||||
alias="POSTMAN_API_KEY",
|
||||
repr=False,
|
||||
)
|
||||
|
||||
|
||||
class ViewerSettings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
# Base URL of the Strix relay the local viewer proxies to for email
|
||||
# verification and encrypted report delivery. The browser never talks to
|
||||
# the relay directly; the local server is the only caller.
|
||||
app_url: str = Field(default="https://app.strix.ai", alias="STRIX_APP_URL")
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
model_config = _BASE_CONFIG
|
||||
|
||||
language: str = Field(default="en", alias="STRIX_LANGUAGE")
|
||||
llm: LlmSettings = Field(default_factory=LlmSettings)
|
||||
dedupe: DedupeSettings = Field(default_factory=DedupeSettings)
|
||||
runtime: RuntimeSettings = Field(default_factory=RuntimeSettings)
|
||||
context: ContextSettings = Field(default_factory=ContextSettings)
|
||||
telemetry: TelemetrySettings = Field(default_factory=TelemetrySettings)
|
||||
integrations: IntegrationSettings = Field(default_factory=IntegrationSettings)
|
||||
viewer: ViewerSettings = Field(default_factory=ViewerSettings)
|
||||
|
|
|
|||
|
|
@ -1,498 +1,498 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Strix Agent Interface
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import contextlib
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
from rich.text import Text
|
||||
|
||||
from strix.config import codex, load_settings, persist_current
|
||||
from strix.core.paths import run_dir_for
|
||||
from strix.i18n import t
|
||||
from strix.interface.cli_args import parse_arguments
|
||||
from strix.interface.environment import (
|
||||
check_docker_installed,
|
||||
pull_docker_image,
|
||||
validate_environment,
|
||||
)
|
||||
from strix.interface.interactive import (
|
||||
InteractiveSetupUnavailableError,
|
||||
run_tui,
|
||||
)
|
||||
from strix.interface.scan_setup import (
|
||||
ModelConnectionError,
|
||||
preflight_model_connection,
|
||||
prepare_run,
|
||||
telemetry_start,
|
||||
)
|
||||
from strix.interface.update_check import (
|
||||
is_binary_install,
|
||||
notify_update,
|
||||
prompt_update_if_available,
|
||||
restart_after_update,
|
||||
start_background_check,
|
||||
)
|
||||
from strix.interface.utils import (
|
||||
build_final_stats_text,
|
||||
)
|
||||
from strix.telemetry import posthog, scarf
|
||||
from strix.telemetry.logging import configure_dependency_logging
|
||||
|
||||
|
||||
BEDROCK_MODEL_PREFIX = "bedrock/"
|
||||
BEDROCK_MISSING_MODULE_ERROR = "No module named 'boto3'"
|
||||
BEDROCK_EXTRA_HINT = (
|
||||
'Bedrock support is optional. Install it with: pipx install "strix-agent[bedrock]"'
|
||||
)
|
||||
VERTEX_MODEL_MARKER = "vertex"
|
||||
VERTEX_MISSING_MODULE_ERROR = "No module named 'google"
|
||||
VERTEX_EXTRA_HINT = (
|
||||
'Vertex AI support is optional. Install it with: pipx install "strix-agent[vertex]"'
|
||||
)
|
||||
|
||||
|
||||
import logging # noqa: E402
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def _exception_messages(exc: BaseException) -> tuple[str, ...]:
|
||||
messages: list[str] = []
|
||||
seen: set[int] = set()
|
||||
stack: list[BaseException] = [exc]
|
||||
while stack:
|
||||
current = stack.pop()
|
||||
if id(current) in seen:
|
||||
continue
|
||||
seen.add(id(current))
|
||||
messages.append(str(current))
|
||||
if current.__cause__ is not None:
|
||||
stack.append(current.__cause__)
|
||||
if current.__context__ is not None:
|
||||
stack.append(current.__context__)
|
||||
return tuple(messages)
|
||||
|
||||
|
||||
def _provider_import_hint(exc: BaseException, model: str) -> str | None:
|
||||
"""Return an install hint when *exc* is a missing provider dependency.
|
||||
|
||||
Bedrock and Vertex AI ship as optional extras: Bedrock needs ``boto3`` and
|
||||
Vertex AI needs ``google-auth``. When either is absent, litellm may raise an
|
||||
``ImportError``/``ModuleNotFoundError`` directly or wrap it in a connection
|
||||
error. Map the missing module back to the matching extra so the user knows
|
||||
what to install. Returns ``None`` for any unrelated error.
|
||||
"""
|
||||
model_name = model.lower()
|
||||
messages = _exception_messages(exc)
|
||||
if any(
|
||||
BEDROCK_MISSING_MODULE_ERROR in message for message in messages
|
||||
) and model_name.startswith(BEDROCK_MODEL_PREFIX):
|
||||
return BEDROCK_EXTRA_HINT
|
||||
if (
|
||||
any(VERTEX_MISSING_MODULE_ERROR in message for message in messages)
|
||||
and VERTEX_MODEL_MARKER in model_name
|
||||
):
|
||||
return VERTEX_EXTRA_HINT
|
||||
return None
|
||||
|
||||
|
||||
def _subscription_error_hint(exc: BaseException) -> str | None:
|
||||
"""Return an actionable hint for a known ChatGPT-subscription error, or None."""
|
||||
if not codex.subscription_model(load_settings().llm.model):
|
||||
return None
|
||||
joined = " ".join(_exception_messages(exc)).lower()
|
||||
if "not supported when using codex with a chatgpt account" in joined:
|
||||
return (
|
||||
"This model isn't available on your ChatGPT subscription. "
|
||||
"Set STRIX_LLM to a model your plan includes (e.g. chatgpt/gpt-5.4)."
|
||||
)
|
||||
if (
|
||||
"error code: 401" in joined
|
||||
or "http 401" in joined
|
||||
or "unauthorized" in joined
|
||||
or "invalid_grant" in joined
|
||||
):
|
||||
return (
|
||||
"Your ChatGPT sign-in has expired or was revoked. Sign in again:\n"
|
||||
" strix auth login chatgpt"
|
||||
)
|
||||
return None
|
||||
|
||||
|
||||
async def warm_up_llm(show_model_warning: bool = True) -> None:
|
||||
from agents.models.interface import ModelTracing
|
||||
|
||||
from strix.config.models import (
|
||||
RECOMMENDED_MODEL_NAMES,
|
||||
configure_sdk_model_defaults,
|
||||
is_known_openai_bare_model,
|
||||
is_recommended_or_frontier_model,
|
||||
)
|
||||
from strix.core.inputs import make_model_settings
|
||||
|
||||
console = Console()
|
||||
logger.info("Warming up LLM connection")
|
||||
|
||||
raw_model = ""
|
||||
try:
|
||||
settings = load_settings()
|
||||
configure_sdk_model_defaults(settings)
|
||||
llm = settings.llm
|
||||
raw_model = (llm.model or "").strip()
|
||||
if (
|
||||
raw_model
|
||||
and "/" not in raw_model
|
||||
and not is_known_openai_bare_model(raw_model)
|
||||
and not llm.api_base
|
||||
):
|
||||
warn_text = Text()
|
||||
warn_text.append(t("cli.unknown_model"), style="bold yellow")
|
||||
warn_text.append("\n\n", style="white")
|
||||
warn_text.append(f"'{raw_model}'", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.unknown_model_body"),
|
||||
style="white",
|
||||
)
|
||||
warn_text.append("<provider>/<model>", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.unknown_model_hint"),
|
||||
style="white",
|
||||
)
|
||||
console.print(
|
||||
Panel(
|
||||
warn_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="yellow",
|
||||
padding=(1, 2),
|
||||
),
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
if show_model_warning and raw_model and not is_recommended_or_frontier_model(raw_model):
|
||||
warn_text = Text()
|
||||
warn_text.append(t("cli.model_quality_warning"), style="bold yellow")
|
||||
warn_text.append("\n\n", style="white")
|
||||
warn_text.append(f"'{raw_model}'", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.model_quality_warning_body"),
|
||||
style="white",
|
||||
)
|
||||
for recommended_model in RECOMMENDED_MODEL_NAMES:
|
||||
warn_text.append(f"• {recommended_model}\n", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.model_quality_warning_footer"),
|
||||
style="white",
|
||||
)
|
||||
console.print(
|
||||
Panel(
|
||||
warn_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="yellow",
|
||||
padding=(1, 2),
|
||||
),
|
||||
)
|
||||
|
||||
await preflight_model_connection(raw_model, settings=settings)
|
||||
logger.info("LLM warm-up succeeded for model %s", (llm.model or "").strip())
|
||||
|
||||
if settings.dedupe.model:
|
||||
from strix.report.dedupe import resolve_dedupe_model
|
||||
|
||||
dedupe_model = settings.dedupe.model.strip()
|
||||
raw_model = dedupe_model
|
||||
deduper = resolve_dedupe_model(settings.dedupe, dedupe_model)
|
||||
# A dedicated dedupe model may route to another provider, which must
|
||||
# never receive the main endpoint's headers; it has its own
|
||||
# DEDUPE_LLM_EXTRA_HEADERS.
|
||||
deduper_settings = make_model_settings(
|
||||
None,
|
||||
model_name=dedupe_model,
|
||||
request_timeout=llm.timeout,
|
||||
prompt_cache=False,
|
||||
extra_headers=settings.dedupe.extra_headers,
|
||||
has_tools=False,
|
||||
)
|
||||
await asyncio.wait_for(
|
||||
deduper.get_response(
|
||||
system_instructions="You are a helpful assistant.",
|
||||
input="Reply with just 'OK'.",
|
||||
model_settings=deduper_settings,
|
||||
tools=[],
|
||||
output_schema=None,
|
||||
handoffs=[],
|
||||
tracing=ModelTracing.DISABLED,
|
||||
previous_response_id=None,
|
||||
conversation_id=None,
|
||||
prompt=None,
|
||||
),
|
||||
timeout=llm.timeout,
|
||||
)
|
||||
logger.info("LLM warm-up succeeded for dedupe model %s", dedupe_model)
|
||||
|
||||
except ModelConnectionError:
|
||||
logger.debug("Model route warm-up failed", exc_info=True)
|
||||
raise
|
||||
except Exception as exc:
|
||||
logger.debug("LLM warm-up failed", exc_info=True)
|
||||
raise ModelConnectionError(raw_model, exc) from exc
|
||||
|
||||
|
||||
def display_completion_message(args: argparse.Namespace, results_path: Path) -> None:
|
||||
from strix.report.state import get_global_report_state
|
||||
|
||||
console = Console()
|
||||
report_state = get_global_report_state()
|
||||
|
||||
scan_completed = False
|
||||
if report_state:
|
||||
scan_completed = report_state.run_record.get("status") == "completed"
|
||||
|
||||
completion_text = Text()
|
||||
if scan_completed:
|
||||
completion_text.append(t("cli.completion_title"), style="bold #22c55e")
|
||||
else:
|
||||
completion_text.append(t("cli.session_ended"), style="bold #eab308")
|
||||
|
||||
target_text = Text()
|
||||
target_text.append(t("cli.target_label"), style="dim")
|
||||
target_text.append(" ")
|
||||
if len(args.targets_info) == 1:
|
||||
target_text.append(args.targets_info[0]["original"], style="bold white")
|
||||
else:
|
||||
target_text.append(t("cli.targets_label", count=len(args.targets_info)), style="bold white")
|
||||
for target_info in args.targets_info:
|
||||
target_text.append("\n ")
|
||||
target_text.append(target_info["original"], style="white")
|
||||
|
||||
stats_text = build_final_stats_text(report_state)
|
||||
|
||||
panel_parts: list[Text | str] = [completion_text, "\n\n", target_text]
|
||||
|
||||
if stats_text.plain:
|
||||
panel_parts.extend(["\n", stats_text])
|
||||
|
||||
results_text = Text()
|
||||
results_text.append("\n")
|
||||
results_text.append(t("cli.output_label"), style="dim")
|
||||
results_text.append(" ")
|
||||
results_text.append(str(results_path), style="#60a5fa")
|
||||
panel_parts.extend(["\n", results_text])
|
||||
|
||||
view_text = Text()
|
||||
view_text.append("\n")
|
||||
view_text.append(t("cli.view_label"), style="dim")
|
||||
view_text.append(" ")
|
||||
view_text.append(f"strix view {args.run_name}", style="#22c55e")
|
||||
panel_parts.extend(["\n", view_text])
|
||||
|
||||
if not scan_completed:
|
||||
resume_text = Text()
|
||||
resume_text.append("\n")
|
||||
resume_text.append(t("cli.resume_label"), style="dim")
|
||||
resume_text.append(" ")
|
||||
resume_text.append(f"strix --resume {args.run_name}", style="#22c55e")
|
||||
panel_parts.extend(["\n", resume_text])
|
||||
|
||||
panel_content = Text.assemble(*panel_parts)
|
||||
|
||||
border_style = "#22c55e" if scan_completed else "#eab308"
|
||||
|
||||
panel = Panel(
|
||||
panel_content,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style=border_style,
|
||||
padding=(1, 2),
|
||||
)
|
||||
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
console.print(
|
||||
"[#60a5fa]strix.ai[/] [dim]·[/] "
|
||||
"[#60a5fa]docs.strix.ai[/] [dim]·[/] "
|
||||
"[#60a5fa]discord.gg/strix-ai[/]"
|
||||
)
|
||||
console.print()
|
||||
if not args.non_interactive:
|
||||
notify_update(console)
|
||||
|
||||
|
||||
def _print_error_panel(title: str, message: str) -> None:
|
||||
console = Console()
|
||||
error_text = Text()
|
||||
error_text.append(title, style="bold red")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(message, style="white")
|
||||
panel = Panel(
|
||||
error_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="red",
|
||||
padding=(1, 2),
|
||||
)
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
|
||||
|
||||
def _print_model_connection_error(exc: BaseException, model_name: str) -> None:
|
||||
console = Console()
|
||||
error_text = Text()
|
||||
sub_hint = _subscription_error_hint(exc)
|
||||
if sub_hint is not None:
|
||||
border_style = "yellow"
|
||||
error_text.append(t("cli.model_not_available"), style="bold yellow")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(f"{sub_hint}\n", style="white")
|
||||
error_text.append(f"\nDetails: {exc}", style="dim white")
|
||||
else:
|
||||
border_style = "red"
|
||||
error_text.append(t("cli.llm_connection_failed"), style="bold red")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(t("cli.llm_connection_error") + "\n", style="white")
|
||||
error_text.append(t("cli.llm_check_config") + "\n", style="white")
|
||||
hint = _provider_import_hint(exc, model_name)
|
||||
if hint is not None:
|
||||
error_text.append(f"\n{hint}\n", style="bold yellow")
|
||||
error_text.append(f"\nError: {exc}", style="dim white")
|
||||
|
||||
panel = Panel(
|
||||
error_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style=border_style,
|
||||
padding=(1, 2),
|
||||
)
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
|
||||
|
||||
def _bootstrap_scan(args: argparse.Namespace) -> None:
|
||||
"""Warm up the model and prepare the run for a non-interactive scan.
|
||||
|
||||
Interactive launches only validate the environment here; the model
|
||||
preflight and run preparation happen inside the TUI so the interface
|
||||
paints immediately instead of waiting on a model round trip.
|
||||
"""
|
||||
validate_environment()
|
||||
if not args.non_interactive:
|
||||
return
|
||||
try:
|
||||
asyncio.run(warm_up_llm(show_model_warning=True))
|
||||
except ModelConnectionError as exc:
|
||||
_print_model_connection_error(exc, exc.model_name)
|
||||
sys.exit(1)
|
||||
persist_current()
|
||||
try:
|
||||
prepare_run(args)
|
||||
except ValueError as e:
|
||||
_print_error_panel(t("cli.scan_preparation_failed"), str(e))
|
||||
sys.exit(1)
|
||||
telemetry_start(args)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
configure_dependency_logging()
|
||||
|
||||
if sys.platform == "win32":
|
||||
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
|
||||
|
||||
# `strix view [<run>]` is a viewer-only subcommand, dispatched before the
|
||||
# scan argument parser (which requires a target) and before any scan setup.
|
||||
if len(sys.argv) > 1 and sys.argv[1] == "view":
|
||||
from strix.interface.viewer.cli import run_view
|
||||
|
||||
run_view(sys.argv[2:])
|
||||
return
|
||||
|
||||
# `strix auth …` manages model-subscription sign-in and exits; it needs no
|
||||
# target, Docker, or scan setup.
|
||||
if len(sys.argv) > 1 and sys.argv[1] == "auth":
|
||||
from strix.interface.auth_cli import run_auth
|
||||
|
||||
sys.exit(run_auth(sys.argv[2:]))
|
||||
|
||||
from strix.llm.warmup import start_import_warmup
|
||||
|
||||
start_import_warmup()
|
||||
|
||||
args = parse_arguments()
|
||||
|
||||
start_background_check()
|
||||
if not args.non_interactive and prompt_update_if_available(Console()):
|
||||
if is_binary_install() and sys.platform != "win32":
|
||||
restart_after_update()
|
||||
sys.exit(0)
|
||||
|
||||
check_docker_installed()
|
||||
pull_docker_image()
|
||||
|
||||
# In setup mode the TUI collects the target, then runs prepare_run(),
|
||||
# warm-up, and telemetry itself once the user starts the scan.
|
||||
if not args.needs_setup:
|
||||
_bootstrap_scan(args)
|
||||
|
||||
from strix.report.state import get_global_report_state
|
||||
|
||||
exit_reason = "user_exit"
|
||||
try:
|
||||
if args.non_interactive:
|
||||
from strix.interface.cli import run_cli
|
||||
|
||||
asyncio.run(run_cli(args))
|
||||
else:
|
||||
asyncio.run(run_tui(args))
|
||||
except InteractiveSetupUnavailableError as exc:
|
||||
exit_reason = "error"
|
||||
_print_error_panel(t("cli.interactive_setup_unavailable"), str(exc))
|
||||
sys.exit(1)
|
||||
except KeyboardInterrupt:
|
||||
exit_reason = "interrupted"
|
||||
except Exception:
|
||||
exit_reason = "error"
|
||||
posthog.error("unhandled_exception")
|
||||
scarf.error("unhandled_exception")
|
||||
raise
|
||||
finally:
|
||||
report_state = get_global_report_state()
|
||||
if report_state:
|
||||
status = {"interrupted": "interrupted", "error": "failed"}.get(
|
||||
exit_reason,
|
||||
"stopped",
|
||||
)
|
||||
report_state.cleanup(status=status)
|
||||
# Best-effort beacons on the way out. They reach the network, so a
|
||||
# second Ctrl-C lands here; abandon them rather than trading a clean
|
||||
# exit for a traceback.
|
||||
with contextlib.suppress(KeyboardInterrupt, Exception):
|
||||
posthog.end(report_state, exit_reason=exit_reason)
|
||||
scarf.end(report_state, exit_reason=exit_reason)
|
||||
|
||||
if not args.run_name:
|
||||
# Setup mode where the user quit before starting a scan: nothing ran.
|
||||
return
|
||||
|
||||
results_path = run_dir_for(args.run_name)
|
||||
|
||||
display_completion_message(args, results_path)
|
||||
|
||||
if args.non_interactive:
|
||||
report_state = get_global_report_state()
|
||||
if report_state and report_state.vulnerability_reports:
|
||||
sys.exit(2)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Strix Agent Interface
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import contextlib
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
from rich.text import Text
|
||||
|
||||
from strix.config import codex, load_settings, persist_current
|
||||
from strix.core.paths import run_dir_for
|
||||
from strix.i18n import t
|
||||
from strix.interface.cli_args import parse_arguments
|
||||
from strix.interface.environment import (
|
||||
check_docker_installed,
|
||||
pull_docker_image,
|
||||
validate_environment,
|
||||
)
|
||||
from strix.interface.interactive import (
|
||||
InteractiveSetupUnavailableError,
|
||||
run_tui,
|
||||
)
|
||||
from strix.interface.scan_setup import (
|
||||
ModelConnectionError,
|
||||
preflight_model_connection,
|
||||
prepare_run,
|
||||
telemetry_start,
|
||||
)
|
||||
from strix.interface.update_check import (
|
||||
is_binary_install,
|
||||
notify_update,
|
||||
prompt_update_if_available,
|
||||
restart_after_update,
|
||||
start_background_check,
|
||||
)
|
||||
from strix.interface.utils import (
|
||||
build_final_stats_text,
|
||||
)
|
||||
from strix.telemetry import posthog, scarf
|
||||
from strix.telemetry.logging import configure_dependency_logging
|
||||
|
||||
|
||||
BEDROCK_MODEL_PREFIX = "bedrock/"
|
||||
BEDROCK_MISSING_MODULE_ERROR = "No module named 'boto3'"
|
||||
BEDROCK_EXTRA_HINT = (
|
||||
'Bedrock support is optional. Install it with: pipx install "strix-agent[bedrock]"'
|
||||
)
|
||||
VERTEX_MODEL_MARKER = "vertex"
|
||||
VERTEX_MISSING_MODULE_ERROR = "No module named 'google"
|
||||
VERTEX_EXTRA_HINT = (
|
||||
'Vertex AI support is optional. Install it with: pipx install "strix-agent[vertex]"'
|
||||
)
|
||||
|
||||
|
||||
import logging # noqa: E402
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def _exception_messages(exc: BaseException) -> tuple[str, ...]:
|
||||
messages: list[str] = []
|
||||
seen: set[int] = set()
|
||||
stack: list[BaseException] = [exc]
|
||||
while stack:
|
||||
current = stack.pop()
|
||||
if id(current) in seen:
|
||||
continue
|
||||
seen.add(id(current))
|
||||
messages.append(str(current))
|
||||
if current.__cause__ is not None:
|
||||
stack.append(current.__cause__)
|
||||
if current.__context__ is not None:
|
||||
stack.append(current.__context__)
|
||||
return tuple(messages)
|
||||
|
||||
|
||||
def _provider_import_hint(exc: BaseException, model: str) -> str | None:
|
||||
"""Return an install hint when *exc* is a missing provider dependency.
|
||||
|
||||
Bedrock and Vertex AI ship as optional extras: Bedrock needs ``boto3`` and
|
||||
Vertex AI needs ``google-auth``. When either is absent, litellm may raise an
|
||||
``ImportError``/``ModuleNotFoundError`` directly or wrap it in a connection
|
||||
error. Map the missing module back to the matching extra so the user knows
|
||||
what to install. Returns ``None`` for any unrelated error.
|
||||
"""
|
||||
model_name = model.lower()
|
||||
messages = _exception_messages(exc)
|
||||
if any(
|
||||
BEDROCK_MISSING_MODULE_ERROR in message for message in messages
|
||||
) and model_name.startswith(BEDROCK_MODEL_PREFIX):
|
||||
return BEDROCK_EXTRA_HINT
|
||||
if (
|
||||
any(VERTEX_MISSING_MODULE_ERROR in message for message in messages)
|
||||
and VERTEX_MODEL_MARKER in model_name
|
||||
):
|
||||
return VERTEX_EXTRA_HINT
|
||||
return None
|
||||
|
||||
|
||||
def _subscription_error_hint(exc: BaseException) -> str | None:
|
||||
"""Return an actionable hint for a known ChatGPT-subscription error, or None."""
|
||||
if not codex.subscription_model(load_settings().llm.model):
|
||||
return None
|
||||
joined = " ".join(_exception_messages(exc)).lower()
|
||||
if "not supported when using codex with a chatgpt account" in joined:
|
||||
return (
|
||||
"This model isn't available on your ChatGPT subscription. "
|
||||
"Set STRIX_LLM to a model your plan includes (e.g. chatgpt/gpt-5.4)."
|
||||
)
|
||||
if (
|
||||
"error code: 401" in joined
|
||||
or "http 401" in joined
|
||||
or "unauthorized" in joined
|
||||
or "invalid_grant" in joined
|
||||
):
|
||||
return (
|
||||
"Your ChatGPT sign-in has expired or was revoked. Sign in again:\n"
|
||||
" strix auth login chatgpt"
|
||||
)
|
||||
return None
|
||||
|
||||
|
||||
async def warm_up_llm(show_model_warning: bool = True) -> None:
|
||||
from agents.models.interface import ModelTracing
|
||||
|
||||
from strix.config.models import (
|
||||
RECOMMENDED_MODEL_NAMES,
|
||||
configure_sdk_model_defaults,
|
||||
is_known_openai_bare_model,
|
||||
is_recommended_or_frontier_model,
|
||||
)
|
||||
from strix.core.inputs import make_model_settings
|
||||
|
||||
console = Console()
|
||||
logger.info("Warming up LLM connection")
|
||||
|
||||
raw_model = ""
|
||||
try:
|
||||
settings = load_settings()
|
||||
configure_sdk_model_defaults(settings)
|
||||
llm = settings.llm
|
||||
raw_model = (llm.model or "").strip()
|
||||
if (
|
||||
raw_model
|
||||
and "/" not in raw_model
|
||||
and not is_known_openai_bare_model(raw_model)
|
||||
and not llm.api_base
|
||||
):
|
||||
warn_text = Text()
|
||||
warn_text.append(t("cli.unknown_model"), style="bold yellow")
|
||||
warn_text.append("\n\n", style="white")
|
||||
warn_text.append(f"'{raw_model}'", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.unknown_model_body"),
|
||||
style="white",
|
||||
)
|
||||
warn_text.append("<provider>/<model>", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.unknown_model_hint"),
|
||||
style="white",
|
||||
)
|
||||
console.print(
|
||||
Panel(
|
||||
warn_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="yellow",
|
||||
padding=(1, 2),
|
||||
),
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
if show_model_warning and raw_model and not is_recommended_or_frontier_model(raw_model):
|
||||
warn_text = Text()
|
||||
warn_text.append(t("cli.model_quality_warning"), style="bold yellow")
|
||||
warn_text.append("\n\n", style="white")
|
||||
warn_text.append(f"'{raw_model}'", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.model_quality_warning_body"),
|
||||
style="white",
|
||||
)
|
||||
for recommended_model in RECOMMENDED_MODEL_NAMES:
|
||||
warn_text.append(f"• {recommended_model}\n", style="bold cyan")
|
||||
warn_text.append(
|
||||
t("cli.model_quality_warning_footer"),
|
||||
style="white",
|
||||
)
|
||||
console.print(
|
||||
Panel(
|
||||
warn_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="yellow",
|
||||
padding=(1, 2),
|
||||
),
|
||||
)
|
||||
|
||||
await preflight_model_connection(raw_model, settings=settings)
|
||||
logger.info("LLM warm-up succeeded for model %s", (llm.model or "").strip())
|
||||
|
||||
if settings.dedupe.model:
|
||||
from strix.report.dedupe import resolve_dedupe_model
|
||||
|
||||
dedupe_model = settings.dedupe.model.strip()
|
||||
raw_model = dedupe_model
|
||||
deduper = resolve_dedupe_model(settings.dedupe, dedupe_model)
|
||||
# A dedicated dedupe model may route to another provider, which must
|
||||
# never receive the main endpoint's headers; it has its own
|
||||
# DEDUPE_LLM_EXTRA_HEADERS.
|
||||
deduper_settings = make_model_settings(
|
||||
None,
|
||||
model_name=dedupe_model,
|
||||
request_timeout=llm.timeout,
|
||||
prompt_cache=False,
|
||||
extra_headers=settings.dedupe.extra_headers,
|
||||
has_tools=False,
|
||||
)
|
||||
await asyncio.wait_for(
|
||||
deduper.get_response(
|
||||
system_instructions="You are a helpful assistant.",
|
||||
input="Reply with just 'OK'.",
|
||||
model_settings=deduper_settings,
|
||||
tools=[],
|
||||
output_schema=None,
|
||||
handoffs=[],
|
||||
tracing=ModelTracing.DISABLED,
|
||||
previous_response_id=None,
|
||||
conversation_id=None,
|
||||
prompt=None,
|
||||
),
|
||||
timeout=llm.timeout,
|
||||
)
|
||||
logger.info("LLM warm-up succeeded for dedupe model %s", dedupe_model)
|
||||
|
||||
except ModelConnectionError:
|
||||
logger.debug("Model route warm-up failed", exc_info=True)
|
||||
raise
|
||||
except Exception as exc:
|
||||
logger.debug("LLM warm-up failed", exc_info=True)
|
||||
raise ModelConnectionError(raw_model, exc) from exc
|
||||
|
||||
|
||||
def display_completion_message(args: argparse.Namespace, results_path: Path) -> None:
|
||||
from strix.report.state import get_global_report_state
|
||||
|
||||
console = Console()
|
||||
report_state = get_global_report_state()
|
||||
|
||||
scan_completed = False
|
||||
if report_state:
|
||||
scan_completed = report_state.run_record.get("status") == "completed"
|
||||
|
||||
completion_text = Text()
|
||||
if scan_completed:
|
||||
completion_text.append(t("cli.completion_title"), style="bold #22c55e")
|
||||
else:
|
||||
completion_text.append(t("cli.session_ended"), style="bold #eab308")
|
||||
|
||||
target_text = Text()
|
||||
target_text.append(t("cli.target_label"), style="dim")
|
||||
target_text.append(" ")
|
||||
if len(args.targets_info) == 1:
|
||||
target_text.append(args.targets_info[0]["original"], style="bold white")
|
||||
else:
|
||||
target_text.append(t("cli.targets_label", count=len(args.targets_info)), style="bold white")
|
||||
for target_info in args.targets_info:
|
||||
target_text.append("\n ")
|
||||
target_text.append(target_info["original"], style="white")
|
||||
|
||||
stats_text = build_final_stats_text(report_state)
|
||||
|
||||
panel_parts: list[Text | str] = [completion_text, "\n\n", target_text]
|
||||
|
||||
if stats_text.plain:
|
||||
panel_parts.extend(["\n", stats_text])
|
||||
|
||||
results_text = Text()
|
||||
results_text.append("\n")
|
||||
results_text.append(t("cli.output_label"), style="dim")
|
||||
results_text.append(" ")
|
||||
results_text.append(str(results_path), style="#60a5fa")
|
||||
panel_parts.extend(["\n", results_text])
|
||||
|
||||
view_text = Text()
|
||||
view_text.append("\n")
|
||||
view_text.append(t("cli.view_label"), style="dim")
|
||||
view_text.append(" ")
|
||||
view_text.append(f"strix view {args.run_name}", style="#22c55e")
|
||||
panel_parts.extend(["\n", view_text])
|
||||
|
||||
if not scan_completed:
|
||||
resume_text = Text()
|
||||
resume_text.append("\n")
|
||||
resume_text.append(t("cli.resume_label"), style="dim")
|
||||
resume_text.append(" ")
|
||||
resume_text.append(f"strix --resume {args.run_name}", style="#22c55e")
|
||||
panel_parts.extend(["\n", resume_text])
|
||||
|
||||
panel_content = Text.assemble(*panel_parts)
|
||||
|
||||
border_style = "#22c55e" if scan_completed else "#eab308"
|
||||
|
||||
panel = Panel(
|
||||
panel_content,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style=border_style,
|
||||
padding=(1, 2),
|
||||
)
|
||||
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
console.print(
|
||||
"[#60a5fa]strix.ai[/] [dim]·[/] "
|
||||
"[#60a5fa]docs.strix.ai[/] [dim]·[/] "
|
||||
"[#60a5fa]discord.gg/strix-ai[/]"
|
||||
)
|
||||
console.print()
|
||||
if not args.non_interactive:
|
||||
notify_update(console)
|
||||
|
||||
|
||||
def _print_error_panel(title: str, message: str) -> None:
|
||||
console = Console()
|
||||
error_text = Text()
|
||||
error_text.append(title, style="bold red")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(message, style="white")
|
||||
panel = Panel(
|
||||
error_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style="red",
|
||||
padding=(1, 2),
|
||||
)
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
|
||||
|
||||
def _print_model_connection_error(exc: BaseException, model_name: str) -> None:
|
||||
console = Console()
|
||||
error_text = Text()
|
||||
sub_hint = _subscription_error_hint(exc)
|
||||
if sub_hint is not None:
|
||||
border_style = "yellow"
|
||||
error_text.append(t("cli.model_not_available"), style="bold yellow")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(f"{sub_hint}\n", style="white")
|
||||
error_text.append(f"\nDetails: {exc}", style="dim white")
|
||||
else:
|
||||
border_style = "red"
|
||||
error_text.append(t("cli.llm_connection_failed"), style="bold red")
|
||||
error_text.append("\n\n", style="white")
|
||||
error_text.append(t("cli.llm_connection_error") + "\n", style="white")
|
||||
error_text.append(t("cli.llm_check_config") + "\n", style="white")
|
||||
hint = _provider_import_hint(exc, model_name)
|
||||
if hint is not None:
|
||||
error_text.append(f"\n{hint}\n", style="bold yellow")
|
||||
error_text.append(f"\nError: {exc}", style="dim white")
|
||||
|
||||
panel = Panel(
|
||||
error_text,
|
||||
title="[bold white]STRIX",
|
||||
title_align="left",
|
||||
border_style=border_style,
|
||||
padding=(1, 2),
|
||||
)
|
||||
console.print("\n")
|
||||
console.print(panel)
|
||||
console.print()
|
||||
|
||||
|
||||
def _bootstrap_scan(args: argparse.Namespace) -> None:
|
||||
"""Warm up the model and prepare the run for a non-interactive scan.
|
||||
|
||||
Interactive launches only validate the environment here; the model
|
||||
preflight and run preparation happen inside the TUI so the interface
|
||||
paints immediately instead of waiting on a model round trip.
|
||||
"""
|
||||
validate_environment()
|
||||
if not args.non_interactive:
|
||||
return
|
||||
try:
|
||||
asyncio.run(warm_up_llm(show_model_warning=True))
|
||||
except ModelConnectionError as exc:
|
||||
_print_model_connection_error(exc, exc.model_name)
|
||||
sys.exit(1)
|
||||
persist_current()
|
||||
try:
|
||||
prepare_run(args)
|
||||
except ValueError as e:
|
||||
_print_error_panel(t("cli.scan_preparation_failed"), str(e))
|
||||
sys.exit(1)
|
||||
telemetry_start(args)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
configure_dependency_logging()
|
||||
|
||||
if sys.platform == "win32":
|
||||
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
|
||||
|
||||
# `strix view [<run>]` is a viewer-only subcommand, dispatched before the
|
||||
# scan argument parser (which requires a target) and before any scan setup.
|
||||
if len(sys.argv) > 1 and sys.argv[1] == "view":
|
||||
from strix.interface.viewer.cli import run_view
|
||||
|
||||
run_view(sys.argv[2:])
|
||||
return
|
||||
|
||||
# `strix auth …` manages model-subscription sign-in and exits; it needs no
|
||||
# target, Docker, or scan setup.
|
||||
if len(sys.argv) > 1 and sys.argv[1] == "auth":
|
||||
from strix.interface.auth_cli import run_auth
|
||||
|
||||
sys.exit(run_auth(sys.argv[2:]))
|
||||
|
||||
from strix.llm.warmup import start_import_warmup
|
||||
|
||||
start_import_warmup()
|
||||
|
||||
args = parse_arguments()
|
||||
|
||||
start_background_check()
|
||||
if not args.non_interactive and prompt_update_if_available(Console()):
|
||||
if is_binary_install() and sys.platform != "win32":
|
||||
restart_after_update()
|
||||
sys.exit(0)
|
||||
|
||||
check_docker_installed()
|
||||
pull_docker_image()
|
||||
|
||||
# In setup mode the TUI collects the target, then runs prepare_run(),
|
||||
# warm-up, and telemetry itself once the user starts the scan.
|
||||
if not args.needs_setup:
|
||||
_bootstrap_scan(args)
|
||||
|
||||
from strix.report.state import get_global_report_state
|
||||
|
||||
exit_reason = "user_exit"
|
||||
try:
|
||||
if args.non_interactive:
|
||||
from strix.interface.cli import run_cli
|
||||
|
||||
asyncio.run(run_cli(args))
|
||||
else:
|
||||
asyncio.run(run_tui(args))
|
||||
except InteractiveSetupUnavailableError as exc:
|
||||
exit_reason = "error"
|
||||
_print_error_panel(t("cli.interactive_setup_unavailable"), str(exc))
|
||||
sys.exit(1)
|
||||
except KeyboardInterrupt:
|
||||
exit_reason = "interrupted"
|
||||
except Exception:
|
||||
exit_reason = "error"
|
||||
posthog.error("unhandled_exception")
|
||||
scarf.error("unhandled_exception")
|
||||
raise
|
||||
finally:
|
||||
report_state = get_global_report_state()
|
||||
if report_state:
|
||||
status = {"interrupted": "interrupted", "error": "failed"}.get(
|
||||
exit_reason,
|
||||
"stopped",
|
||||
)
|
||||
report_state.cleanup(status=status)
|
||||
# Best-effort beacons on the way out. They reach the network, so a
|
||||
# second Ctrl-C lands here; abandon them rather than trading a clean
|
||||
# exit for a traceback.
|
||||
with contextlib.suppress(KeyboardInterrupt, Exception):
|
||||
posthog.end(report_state, exit_reason=exit_reason)
|
||||
scarf.end(report_state, exit_reason=exit_reason)
|
||||
|
||||
if not args.run_name:
|
||||
# Setup mode where the user quit before starting a scan: nothing ran.
|
||||
return
|
||||
|
||||
results_path = run_dir_for(args.run_name)
|
||||
|
||||
display_completion_message(args, results_path)
|
||||
|
||||
if args.non_interactive:
|
||||
report_state = get_global_report_state()
|
||||
if report_state and report_state.vulnerability_reports:
|
||||
sys.exit(2)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue