cai/swarm/util.py

88 lines
2.4 KiB
Python

import inspect
from datetime import datetime
def debug_print(debug: bool, *args: str) -> None:
if not debug:
return
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
message = " ".join(map(str, args))
print(f"\033[97m[\033[90m{timestamp}\033[97m]\033[90m {message}\033[0m")
def merge_fields(target, source):
for key, value in source.items():
if isinstance(value, str):
target[key] += value
elif value is not None and isinstance(value, dict):
merge_fields(target[key], value)
def merge_chunk(final_response: dict, delta: dict) -> None:
delta.pop("role", None)
merge_fields(final_response, delta)
tool_calls = delta.get("tool_calls")
if tool_calls and len(tool_calls) > 0:
index = tool_calls[0].pop("index")
merge_fields(final_response["tool_calls"][index], tool_calls[0])
def function_to_json(func) -> dict:
"""
Converts a Python function into a JSON-serializable dictionary
that describes the function's signature, including its name,
description, and parameters.
Args:
func: The function to be converted.
Returns:
A dictionary representing the function's signature in JSON format.
"""
type_map = {
str: "string",
int: "integer",
float: "number",
bool: "boolean",
list: "array",
dict: "object",
type(None): "null",
}
try:
signature = inspect.signature(func)
except ValueError as e:
raise ValueError(
f"Failed to get signature for function {func.__name__}: {str(e)}"
)
parameters = {}
for param in signature.parameters.values():
try:
param_type = type_map.get(param.annotation, "string")
except KeyError as e:
raise KeyError(
f"Unknown type annotation {param.annotation} for parameter {param.name}: {str(e)}"
)
parameters[param.name] = {"type": param_type}
required = [
param.name
for param in signature.parameters.values()
if param.default == inspect._empty
]
return {
"type": "function",
"function": {
"name": func.__name__,
"description": func.__doc__ or "",
"parameters": {
"type": "object",
"properties": parameters,
"required": required,
},
},
}