Files
strix/strix/config/models.py
T
0xallam 8414c59557 Strip narrative comments and module/helper docstrings
Five rounds of sweep across the tree. Net ~544 lines removed.

Removed:
- Section-divider banners and one-line section labels (# Display
  utilities, # ----- list_requests -----, # CVSS breakdown, etc.).
- Module-level prose docstrings on internal modules. Kept one-line
  summaries; trimmed multi-paragraph narration about SDK/Strix
  responsibility splits, cache strategies, three-source precedence.
- Internal-helper docstrings that just restate the function name —
  caido_api helpers (caido_url, get_client, view_request, etc.),
  settings-class one-liners (LLMSettings, RuntimeSettings, ...),
  UI helper docstrings.
- Args/Returns blocks on non-LLM-facing internal helpers
  (build_strix_agent, render_system_prompt, create_or_reuse,
  bootstrap_caido) — kept only the genuinely non-obvious params.
- Internal-history phrasing — "Mirrors main-branch shape",
  "pre-SDK harness", "previous lookup matched no attribute".
- Narrative comments inside function bodies that explained what the
  next line does, design rationale obvious from the surrounding code,
  or "we used to..." asides.
- Trailing periods on every error-string literal across the tool tree.
- Duplicated roundtripTime quirk comment (kept the LLM-facing copy in
  tools/proxy/tools.py).

Kept (every one names an upstream bug, vendored-code provenance, or
non-obvious data quirk):
- core/runner.py: SDK replay-with-empty-initial-input + on_agent_end
  lifecycle gap.
- runtime/docker_client.py: VERBATIM COPY block of the upstream
  _create_container body, pinned to SDK v0.14.6.
- runtime/session_manager.py: NO_PROXY for agent-browser CDP loopback.
- tools/proxy/caido_api.py: generated-pydantic Request.raw quirk,
  replay double-history pitfall.
- tools/proxy/tools.py: Caido roundtripTime=0 quirk for proxy
  captures.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-26 14:02:40 -07:00

101 lines
2.8 KiB
Python

"""SDK model configuration helpers."""
from __future__ import annotations
import os
from typing import TYPE_CHECKING
from agents import set_default_openai_api, set_default_openai_key
from agents.retry import (
ModelRetryBackoffSettings,
ModelRetrySettings,
retry_policies,
)
if TYPE_CHECKING:
from strix.config.settings import Settings
_SDK_PREFIXES = {"any-llm", "litellm", "openai"}
DEFAULT_MODEL_RETRY = ModelRetrySettings(
max_retries=5,
backoff=ModelRetryBackoffSettings(
initial_delay=2.0,
max_delay=90.0,
multiplier=2.0,
jitter=False,
),
policy=retry_policies.any(
retry_policies.provider_suggested(),
retry_policies.network_error(),
retry_policies.http_status((429, 500, 502, 503, 504)),
),
)
def configure_sdk_model_defaults(settings: Settings) -> None:
"""Apply Strix config to SDK-native defaults.
OpenAI-compatible base URLs are handled by the SDK OpenAI provider.
Non-OpenAI providers should use the SDK's native ``litellm/`` or
``any-llm/`` routing, produced by :func:`normalize_model_name`.
"""
llm = settings.llm
_configure_litellm_compatibility()
if llm.api_key:
set_default_openai_key(llm.api_key, use_for_tracing=False)
_configure_litellm_default("api_key", llm.api_key)
if llm.api_base:
os.environ["OPENAI_BASE_URL"] = llm.api_base
_configure_litellm_default("api_base", llm.api_base)
set_default_openai_api("chat_completions")
else:
set_default_openai_api("responses")
def _configure_litellm_compatibility() -> None:
"""Enable LiteLLM's permissive param-handling mode."""
import litellm
litellm.drop_params = True
litellm.modify_params = True
def _configure_litellm_default(name: str, value: str) -> None:
"""Set LiteLLM's module-level defaults without adding a provider wrapper."""
import litellm
setattr(litellm, name, value)
def normalize_model_name(model_name: str) -> str:
"""Normalize friendly Strix model names to SDK-native model ids."""
model = model_name.strip()
if not model:
return model
if "/" in model:
prefix = model.split("/", 1)[0].lower()
if prefix in _SDK_PREFIXES:
return model
return f"litellm/{model}"
lower = model.lower()
if lower.startswith("claude"):
return f"litellm/anthropic/{model}"
if lower.startswith("gemini"):
return f"litellm/gemini/{model}"
return model
def uses_chat_completions_tool_schema(model_name: str, settings: Settings) -> bool:
"""Return whether the resolved SDK route can only receive JSON function tools."""
model = model_name.strip().lower()
if model.startswith(("litellm/", "any-llm/")):
return True
return bool(settings.llm.api_base)