mirror of
https://github.com/hansjone/oclaw.git
synced 2026-10-09 03:30:48 +08:00
oliver
4a23b715a2
本次迁移将网关/通道/工具/技能/脚本与协议资源集中到新结构，统一路径常量与脚本转发机制，减少顶层噪音并保证运行与测试行为一致。 Made-with: Cursor
69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
from __future__ import annotations
|
|
|
|
"""Compatibility re-export layer.
|
|
|
|
The codebase imports `ChatModel/OpenAIChatModel/...` from this module.
|
|
Implementations live under `src.platform.llm.transports.*`.
|
|
"""
|
|
|
|
import os
|
|
|
|
from oclaw.platform.llm.tool_schema import shrink_openai_tools_payload_for_api
|
|
from oclaw.platform.llm.tool_schema import openai_tools_json_byte_length as _openai_tools_json_byte_length
|
|
from oclaw.platform.llm.transports.base import ChatModel, LLMResponse, LLMToolCall, normalize_image_b64_payload
|
|
from oclaw.platform.llm.transports.google_gemini_sse import GoogleGeminiChatModel
|
|
from oclaw.platform.llm.transports.openai_chat_completions import (
|
|
OpenAIChatModel,
|
|
_likely_gemini_openai_compat_base_url,
|
|
_model_id_suggests_gemini,
|
|
)
|
|
from oclaw.platform.llm.transports.simple import RuleBasedChatModel, StaticTextChatModel
|
|
|
|
# Backward-compat alias used by `src/chat/agent.py`.
|
|
_normalize_image_b64_payload = normalize_image_b64_payload
|
|
|
|
|
|
def gemini_openai_compat_client(model: ChatModel) -> bool:
|
|
if not isinstance(model, OpenAIChatModel):
|
|
return False
|
|
return _likely_gemini_openai_compat_base_url(getattr(model, "base_url", None)) or _model_id_suggests_gemini(
|
|
getattr(model, "model", None)
|
|
)
|
|
|
|
|
|
def build_default_model() -> ChatModel:
|
|
mode = (os.getenv("AIA_ASSISTANT_MODE") or "").strip().lower()
|
|
if mode == "rule":
|
|
return RuleBasedChatModel()
|
|
if mode == "ollama":
|
|
try:
|
|
from oclaw.runtime.agents.factory import DEFAULT_OLLAMA_BASE_URL, DEFAULT_OLLAMA_MODEL
|
|
|
|
return OpenAIChatModel(model=DEFAULT_OLLAMA_MODEL, api_key="ollama", base_url=DEFAULT_OLLAMA_BASE_URL)
|
|
except Exception:
|
|
return RuleBasedChatModel()
|
|
if mode == "openai" or mode == "":
|
|
try:
|
|
return OpenAIChatModel()
|
|
except Exception:
|
|
return RuleBasedChatModel()
|
|
# Provider selection is normally handled via LLM profiles in `src/agents/factory.py`.
|
|
return RuleBasedChatModel()
|
|
|
|
|
|
__all__ = [
|
|
"ChatModel",
|
|
"LLMResponse",
|
|
"LLMToolCall",
|
|
"OpenAIChatModel",
|
|
"GoogleGeminiChatModel",
|
|
"RuleBasedChatModel",
|
|
"StaticTextChatModel",
|
|
"build_default_model",
|
|
"gemini_openai_compat_client",
|
|
"normalize_image_b64_payload",
|
|
"_normalize_image_b64_payload",
|
|
"shrink_openai_tools_payload_for_api",
|
|
"_openai_tools_json_byte_length",
|
|
]
|
|
|