File size: 7,457 Bytes
2a247be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | """Tool calls with nested argument schemas against a Flint SGLang server.
pip install openai
python3 example_tools.py --base-url http://localhost:30000/v1 [--api-key KEY]
The serve scripts start SGLang with --tool-call-parser flint, which constrains each assistant turn that
has tools to Flint's tool-call format: tool names must be ones the request lists, and the arguments of a
tool sent with "strict": true must match its JSON schema (types, enums, patterns, numeric bounds,
required fields). The tools below send "strict": true; other tools keep the format but not the schema.
Each call gets a canned result (tool_result below), which Flint's final answers report.
"""
import argparse
import json
import os
from openai import OpenAI
SAMPLING = {"temperature": 1.0, "top_p": 0.95, "extra_body": {"top_k": 20}}
MAX_TOKENS = 32768 # reasoning counts toward max_tokens
TIME = {"type": "string", "pattern": "^([01][0-9]|2[0-3]):[0-5][0-9]$"}
WEATHER = {"paris": ("sunny", 21), "tokyo": ("cloudy", 17), "lima": ("light rain", 19)} # canned (conditions, °C)
TOOLS = [
{
"type": "function",
"function": {
"name": "create_event",
"strict": True,
"description": "Create a calendar event.",
"parameters": {
"type": "object",
"properties": {
"title": {"type": "string"},
"date": {"type": "string", "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$", "description": "YYYY-MM-DD"},
"start_time": {**TIME, "description": "24-hour HH:MM"},
"duration_minutes": {"type": "integer", "minimum": 5, "maximum": 480},
"attendees": {
"type": "array",
"minItems": 1,
"items": {
"type": "object",
"properties": {"name": {"type": "string"}, "email": {"type": "string"}},
"required": ["name", "email"],
"additionalProperties": False,
},
},
"reminders_minutes": {"type": "array", "items": {"type": "integer", "minimum": 0}},
"priority": {"type": "string", "enum": ["LOW", "NORMAL", "HIGH_PRIORITY"]},
},
"required": ["title", "date", "start_time", "duration_minutes", "attendees", "priority"],
"additionalProperties": False,
},
},
},
{
"type": "function",
"function": {
"name": "add_to_cart",
"strict": True,
"description": "Add products to the shopping cart.",
"parameters": {
"type": "object",
"properties": {
"items": {
"type": "array",
"minItems": 1,
"items": {
"type": "object",
"properties": {
"sku": {"type": "string", "pattern": "^[A-Z]{3}-[0-9]{4}$"},
"quantity": {"type": "integer", "minimum": 1, "maximum": 99},
"gift_wrap": {"type": "boolean"},
},
"required": ["sku", "quantity", "gift_wrap"],
"additionalProperties": False,
},
},
"coupon": {"type": "string", "description": "Coupon code; omit when there is none"},
},
"required": ["items"],
"additionalProperties": False,
},
},
},
{
"type": "function",
"function": {
"name": "get_weather",
"strict": True,
"description": "Get the current weather for a city.",
"parameters": {
"type": "object",
"properties": {
"city": {"type": "string"},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["city", "unit"],
"additionalProperties": False,
},
},
},
]
REQUESTS = [
"Book 'Q4 planning' on October 21st, 2026 at 2:30 PM for 45 minutes with Ana (ana@example.com) and Bo "
"(bo@example.com). Remind us 10 minutes and one hour before. It is urgent.",
"Add two gift-wrapped mugs (SKU MUG-0042) and one notebook (SKU NTB-1001, no gift wrap) to my cart. No coupon.",
"What's the weather in Paris, Tokyo and Lima? Use celsius.",
]
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--base-url", default="http://localhost:30000/v1")
parser.add_argument("--api-key", default=os.environ.get("FLINT_API_KEY", "unused"))
args = parser.parse_args()
client = OpenAI(base_url=args.base_url, api_key=args.api_key)
for request in REQUESTS:
run(client, request)
def run(client: OpenAI, request: str) -> None:
print(f"\n>>> {request}")
messages = [{"role": "user", "content": request}]
choice = client.chat.completions.create(
model="flint", messages=messages, tools=TOOLS, max_tokens=MAX_TOKENS, **SAMPLING
).choices[0]
if choice.finish_reason == "length":
print(f"cut off: the turn used all {MAX_TOKENS} tokens (reasoning counts toward max_tokens)")
return
reply = choice.message
if not reply.tool_calls:
print("content:", reply.content)
return
for call in reply.tool_calls:
print(f"{call.function.name}:", json.dumps(json.loads(call.function.arguments), ensure_ascii=False))
# Echo the assistant turn back unchanged, answer every call, and let Flint finish the turn.
messages.append(reply.model_dump(exclude_none=True))
for call in reply.tool_calls:
result = tool_result(call.function.name, json.loads(call.function.arguments))
print(f"{call.function.name} result:", json.dumps(result, ensure_ascii=False))
messages.append({"role": "tool", "tool_call_id": call.id, "content": json.dumps(result)})
final = client.chat.completions.create(
model="flint", messages=messages, tools=TOOLS, max_tokens=MAX_TOKENS, **SAMPLING
)
print("final answer:", final.choices[0].message.content)
def tool_result(name: str, arguments: dict) -> dict:
"""Canned result for one call, standing in for a real calendar, shop and weather service."""
if name == "get_weather":
conditions, celsius = WEATHER.get(arguments["city"].lower(), ("clear", 20))
temperature = celsius if arguments["unit"] == "celsius" else round(celsius * 9 / 5 + 32)
return {
"city": arguments["city"],
"conditions": conditions,
"temperature": temperature,
"unit": arguments["unit"],
}
if name == "create_event":
return {
"status": "created",
"event_id": "evt_1042",
"title": arguments["title"],
"date": arguments["date"],
"start_time": arguments["start_time"],
}
return {
"status": "added",
"cart_id": "cart_77",
"items_added": sum(item["quantity"] for item in arguments["items"]),
}
if __name__ == "__main__":
main()
|