Files
lingma-openai-gateway/app/http/tool_bridge.py
GitHub Actions 0e146e60d9 refactor: extract Phase 1 gateway helpers
Move tool bridge and responses adapter helpers out of app.main so the main entrypoint can shrink without changing route orchestration behavior.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 08:05:09 +08:00

219 lines
6.6 KiB
Python

from __future__ import annotations
import ast
import json
import uuid
from typing import Any
def _json_string(value: Any) -> str:
if isinstance(value, str):
return value
try:
return json.dumps(value if value is not None else {}, ensure_ascii=False)
except Exception:
return "{}"
def _openai_forced_tool_name(tool_choice: Any) -> str | None:
if not isinstance(tool_choice, dict):
return None
fn = tool_choice.get("function")
if isinstance(fn, dict):
name = fn.get("name")
if isinstance(name, str) and name.strip():
return name.strip()
return None
def _anthropic_forced_tool_name(tool_choice: Any) -> str | None:
if not isinstance(tool_choice, dict):
return None
if tool_choice.get("type") == "tool":
name = tool_choice.get("name")
if isinstance(name, str) and name.strip():
return name.strip()
fn = tool_choice.get("function")
if isinstance(fn, dict):
name = fn.get("name")
if isinstance(name, str) and name.strip():
return name.strip()
return None
def _json_object_from_text(text: str) -> dict[str, Any] | None:
raw = text.strip()
if not raw:
return None
if raw.startswith("```") and raw.endswith("```"):
raw = raw[3:-3].strip()
if raw.lower().startswith("json"):
raw = raw[4:].strip()
try:
parsed = json.loads(raw)
except Exception:
return None
return parsed if isinstance(parsed, dict) else None
def _tool_code_single_arg_name(tools: list[dict[str, Any]] | None, forced_tool_name: str) -> str | None:
if not isinstance(tools, list):
return None
for tool in tools:
if not isinstance(tool, dict):
continue
schema: dict[str, Any] | None = None
if tool.get("type") == "function":
fn = tool.get("function")
if isinstance(fn, dict) and fn.get("name") == forced_tool_name:
params = fn.get("parameters")
if isinstance(params, dict):
schema = params
elif tool.get("name") == forced_tool_name:
input_schema = tool.get("input_schema")
if isinstance(input_schema, dict):
schema = input_schema
if not isinstance(schema, dict):
continue
properties = schema.get("properties")
if not isinstance(properties, dict) or len(properties) != 1:
return None
only_name = next(iter(properties.keys()), None)
if isinstance(only_name, str) and only_name.strip():
return only_name
return None
return None
def _tool_code_object_from_text(
text: str,
forced_tool_name: str,
*,
single_arg_name: str | None = None,
) -> dict[str, Any] | None:
raw = text.strip()
if not raw.startswith("```tool_code") or not raw.endswith("```"):
return None
lines = raw.splitlines()
if len(lines) < 2:
return None
body = "\n".join(lines[1:-1]).strip()
try:
parsed = ast.parse(body, mode="eval")
except Exception:
return None
call = parsed.body
if not isinstance(call, ast.Call):
return None
if not isinstance(call.func, ast.Name) or call.func.id != forced_tool_name:
return None
arguments: dict[str, Any] = {}
if call.args:
if len(call.args) != 1 or call.keywords or not single_arg_name:
return None
try:
arguments[single_arg_name] = ast.literal_eval(call.args[0])
except Exception:
return None
return {"arguments": arguments}
for kw in call.keywords:
if kw.arg is None:
return None
try:
arguments[kw.arg] = ast.literal_eval(kw.value)
except Exception:
return None
return {"arguments": arguments}
def _forced_tool_event_from_text(
text: str,
forced_tool_name: str,
*,
single_arg_name: str | None = None,
) -> dict[str, Any] | None:
parsed = _json_object_from_text(text)
if parsed is None:
parsed = _tool_code_object_from_text(text, forced_tool_name, single_arg_name=single_arg_name)
if parsed is None:
return None
explicit_name: Any = parsed.get("name") or parsed.get("tool")
fn = parsed.get("function")
if explicit_name is None and isinstance(fn, dict):
explicit_name = fn.get("name")
if explicit_name is not None and str(explicit_name) != forced_tool_name:
return None
tool_input: Any = None
if "input" in parsed:
tool_input = parsed.get("input")
elif "arguments" in parsed:
args = parsed.get("arguments")
if isinstance(args, str):
try:
tool_input = json.loads(args)
except Exception:
return None
else:
tool_input = args
elif isinstance(fn, dict) and "arguments" in fn:
args = fn.get("arguments")
if isinstance(args, str):
try:
tool_input = json.loads(args)
except Exception:
return None
else:
tool_input = args
else:
reserved = {"name", "tool", "function", "arguments", "input", "result"}
tool_input = {k: v for k, v in parsed.items() if k not in reserved}
event: dict[str, Any] = {
"name": forced_tool_name,
"input": tool_input if tool_input is not None else {},
}
if "result" in parsed:
event["result"] = parsed.get("result")
return event
def _openai_tool_call(tool: dict[str, Any], *, forced_id: str | None = None) -> dict[str, Any]:
return {
"id": str(tool.get("id") or forced_id or f"call_{uuid.uuid4().hex}"),
"type": "function",
"function": {
"name": str(tool.get("name") or "tool"),
"arguments": _json_string(tool.get("input")),
},
}
def _anthropic_tool_use_block(
tool: dict[str, Any], *, forced_id: str | None = None
) -> dict[str, Any]:
return {
"type": "tool_use",
"id": str(tool.get("id") or forced_id or f"toolu_{uuid.uuid4().hex}"),
"name": str(tool.get("name") or "tool"),
"input": tool.get("input") if tool.get("input") is not None else {},
}
def _anthropic_tool_result_block(
tool: dict[str, Any], *, forced_id: str | None = None
) -> dict[str, Any] | None:
if "result" not in tool:
return None
result = tool.get("result")
if isinstance(result, str):
content: Any = result
else:
content = _json_string(result)
return {
"type": "tool_result",
"tool_use_id": str(tool.get("id") or forced_id or ""),
"content": content,
}