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62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
"""Google Gemini provider profiles.
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gemini: Google AI Studio (API key) — uses GeminiNativeClient
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Reports api_mode="chat_completions" but uses a custom native client
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that bypasses the standard OpenAI transport. The profile captures auth
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and endpoint metadata for auth.py / runtime_provider.py migration, and
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carries the thinking_config translation hook so the transport's profile
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path produces the same extra_body shape the legacy flag path did.
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"""
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from typing import Any
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from providers import register_provider
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from providers.base import ProviderProfile
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class GeminiProfile(ProviderProfile):
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"""Gemini — translate reasoning_config to thinking_config in extra_body."""
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def build_extra_body(
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self, *, session_id: str | None = None, **context: Any
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) -> dict[str, Any]:
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"""Emit extra_body.thinking_config (native) or extra_body.extra_body.google.thinking_config
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(OpenAI-compat /openai subpath), mirroring the legacy path's behavior.
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"""
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from agent.transports.chat_completions import (
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_build_gemini_thinking_config,
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_is_gemini_openai_compat_base_url,
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_snake_case_gemini_thinking_config,
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)
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model = context.get("model") or ""
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reasoning_config = context.get("reasoning_config")
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base_url = context.get("base_url") or self.base_url
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raw_thinking_config = _build_gemini_thinking_config(model, reasoning_config)
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if not raw_thinking_config:
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return {}
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body: dict[str, Any] = {}
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if self.name == "gemini" and _is_gemini_openai_compat_base_url(base_url):
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thinking_config = _snake_case_gemini_thinking_config(raw_thinking_config)
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if thinking_config:
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body["extra_body"] = {"google": {"thinking_config": thinking_config}}
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else:
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body["thinking_config"] = raw_thinking_config
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return body
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gemini = GeminiProfile(
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name="gemini",
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aliases=("google", "google-gemini", "google-ai-studio"),
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api_mode="chat_completions",
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env_vars=("GOOGLE_API_KEY", "GEMINI_API_KEY"),
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base_url="https://generativelanguage.googleapis.com/v1beta",
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auth_type="api_key",
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default_aux_model="gemini-3.5-flash",
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)
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register_provider(gemini)
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