oclaw/platform/llm/transports/base.py
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Made-with: Cursor
2026-04-24 22:31:22 +08:00

63 lines
1.6 KiB
Python

from __future__ import annotations
import base64
import json
from dataclasses import dataclass
from typing import Any, Optional
from collections.abc import Callable
@dataclass(frozen=True)
class LLMToolCall:
id: str
name: str
arguments: dict[str, Any]
# Gemini OpenAI-compat and native transports may require preserving a signature across tool loops.
thought_signature: str | None = None
@dataclass(frozen=True)
class LLMResponse:
content: str
tool_calls: list[LLMToolCall]
reasoning_content: str = ""
class ChatModel:
def chat(
self,
messages: list[dict[str, Any]],
tools: list[dict[str, Any]],
*,
on_token: Optional[Callable[[str], None]] = None,
) -> LLMResponse:
raise NotImplementedError
def coerce_thought_signature_for_storage(v: Any) -> str | None:
if v is None:
return None
if isinstance(v, str):
return v
if isinstance(v, (bytes, bytearray)):
try:
return bytes(v).decode("utf-8")
except UnicodeDecodeError:
return base64.b64encode(bytes(v)).decode("ascii")
if isinstance(v, (dict, list)):
return json.dumps(v, separators=(",", ":"), ensure_ascii=False)
return str(v)
def normalize_image_b64_payload(raw: Any) -> str:
if raw is None:
return ""
if isinstance(raw, (bytes, bytearray)):
return base64.b64encode(bytes(raw)).decode("ascii")
s = str(raw).strip()
if not s:
return ""
if s.startswith("data:") and ";base64," in s:
s = s.split(";base64,", 1)[-1].strip()
return "".join(s.split())