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https://github.com/hansjone/oclaw.git
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oliver
420abac9f1
- Rename platform/ to svc/ to avoid shadowing stdlib platform. - Replace from oclaw.* with from svc/runtime/interfaces; update -m CLI paths. - tests/conftest: prepend repo root to sys.path (no parent-folder package name). - CI: paths and offline_eval script under repo root. - Ops scripts: PYTHONPATH must be repo root for python -m runtime.* (fixes gateway/WhatsApp sidecar startup). - Fix default oclaw.json path in tabular/file attachment limits; stabilize attachment test config. Co-authored-by: Cursor <cursoragent@cursor.com>
69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
from __future__ import annotations
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"""Compatibility re-export layer.
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The codebase imports `ChatModel/OpenAIChatModel/...` from this module.
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Implementations live under `src.platform.llm.transports.*`.
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"""
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import os
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from svc.llm.tool_schema import shrink_openai_tools_payload_for_api
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from svc.llm.tool_schema import openai_tools_json_byte_length as _openai_tools_json_byte_length
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from svc.llm.transports.base import ChatModel, LLMResponse, LLMToolCall, normalize_image_b64_payload
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from svc.llm.transports.google_gemini_sse import GoogleGeminiChatModel
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from svc.llm.transports.openai_chat_completions import (
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OpenAIChatModel,
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_likely_gemini_openai_compat_base_url,
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_model_id_suggests_gemini,
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)
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from svc.llm.transports.simple import RuleBasedChatModel, StaticTextChatModel
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# Backward-compat alias used by `src/chat/agent.py`.
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_normalize_image_b64_payload = normalize_image_b64_payload
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def gemini_openai_compat_client(model: ChatModel) -> bool:
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if not isinstance(model, OpenAIChatModel):
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return False
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return _likely_gemini_openai_compat_base_url(getattr(model, "base_url", None)) or _model_id_suggests_gemini(
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getattr(model, "model", None)
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)
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def build_default_model() -> ChatModel:
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mode = (os.getenv("AIA_ASSISTANT_MODE") or "").strip().lower()
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if mode == "rule":
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return RuleBasedChatModel()
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if mode == "ollama":
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try:
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from runtime.agents.factory import DEFAULT_OLLAMA_BASE_URL, DEFAULT_OLLAMA_MODEL
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return OpenAIChatModel(model=DEFAULT_OLLAMA_MODEL, api_key="ollama", base_url=DEFAULT_OLLAMA_BASE_URL)
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except Exception:
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return RuleBasedChatModel()
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if mode == "openai" or mode == "":
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try:
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return OpenAIChatModel()
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except Exception:
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return RuleBasedChatModel()
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# Provider selection is normally handled via LLM profiles in `src/agents/factory.py`.
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return RuleBasedChatModel()
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__all__ = [
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"ChatModel",
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"LLMResponse",
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"LLMToolCall",
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"OpenAIChatModel",
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"GoogleGeminiChatModel",
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"RuleBasedChatModel",
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"StaticTextChatModel",
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"build_default_model",
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"gemini_openai_compat_client",
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"normalize_image_b64_payload",
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"_normalize_image_b64_payload",
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"shrink_openai_tools_payload_for_api",
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"_openai_tools_json_byte_length",
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]
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