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chore: import upstream snapshot with attribution
2026-07-13 11:56:03 +08:00

59 lines
2.0 KiB
Python

"""Copilot / GitHub Models provider profile.
Copilot uses per-model api_mode routing:
- GPT-5+ / Codex models → codex_responses
- Claude models → anthropic_messages
- Everything else → chat_completions (this profile covers that subset)
Key quirks for the chat_completions subset:
- Editor attribution headers (via copilot_default_headers())
- GitHub Models reasoning extra_body (model-catalog gated)
"""
from typing import Any
from providers import register_provider
from providers.base import ProviderProfile
class CopilotProfile(ProviderProfile):
"""GitHub Copilot / GitHub Models — editor headers + reasoning."""
def build_api_kwargs_extras(
self,
*,
model: str | None = None,
reasoning_config: dict | None = None,
supports_reasoning: bool = False,
**ctx,
) -> tuple[dict[str, Any], dict[str, Any]]:
extra_body: dict[str, Any] = {}
if supports_reasoning and model:
try:
from hermes_cli.models import github_model_reasoning_efforts
supported_efforts = github_model_reasoning_efforts(model)
if supported_efforts and reasoning_config:
effort = reasoning_config.get("effort", "medium")
# Normalize stronger generic levels to the nearest supported.
if effort in {"xhigh", "max", "ultra"}:
effort = "high"
if effort in supported_efforts:
extra_body["reasoning"] = {"effort": effort}
elif supported_efforts:
extra_body["reasoning"] = {"effort": "medium"}
except Exception:
pass
return extra_body, {}
copilot = CopilotProfile(
name="copilot",
aliases=("github-copilot", "github-models", "github-model", "github"),
env_vars=("COPILOT_GITHUB_TOKEN", "GH_TOKEN", "GITHUB_TOKEN"),
base_url="https://api.githubcopilot.com",
auth_type="copilot",
)
register_provider(copilot)