Upload function_calling_examples.ipynb
Browse files- function_calling_examples.ipynb +819 -0
function_calling_examples.ipynb
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| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "markdown",
|
| 5 |
+
"metadata": {},
|
| 6 |
+
"source": [
|
| 7 |
+
"# Function Calling with FunctionGemma\n",
|
| 8 |
+
"\n",
|
| 9 |
+
"This notebook demonstrates how to use FunctionGemma for function calling with MLX-LM. We'll cover different use cases including datetime, weather, calendar, email, database queries, and more.\n",
|
| 10 |
+
"\n",
|
| 11 |
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"## Requirements\n",
|
| 12 |
+
"\n",
|
| 13 |
+
"```bash\n",
|
| 14 |
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"pip install -U mlx-lm\n",
|
| 15 |
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"```"
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"cell_type": "markdown",
|
| 20 |
+
"metadata": {},
|
| 21 |
+
"source": [
|
| 22 |
+
"## Setup"
|
| 23 |
+
]
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"cell_type": "code",
|
| 27 |
+
"execution_count": null,
|
| 28 |
+
"metadata": {},
|
| 29 |
+
"outputs": [],
|
| 30 |
+
"source": [
|
| 31 |
+
"import json\n",
|
| 32 |
+
"import re\n",
|
| 33 |
+
"from datetime import datetime\n",
|
| 34 |
+
"from mlx_lm import load, generate"
|
| 35 |
+
]
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"cell_type": "code",
|
| 39 |
+
"execution_count": null,
|
| 40 |
+
"metadata": {},
|
| 41 |
+
"outputs": [],
|
| 42 |
+
"source": [
|
| 43 |
+
"# Load the model\n",
|
| 44 |
+
"model, tokenizer = load(\"mlx-community/functiongemma-270m-it-bf16\")\n",
|
| 45 |
+
"print(\"✅ Model loaded\")"
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"cell_type": "markdown",
|
| 50 |
+
"metadata": {},
|
| 51 |
+
"source": [
|
| 52 |
+
"## Function Definitions\n",
|
| 53 |
+
"\n",
|
| 54 |
+
"Below are mock implementations of various functions that demonstrate different use cases. In production, these would connect to real APIs and services."
|
| 55 |
+
]
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"cell_type": "code",
|
| 59 |
+
"execution_count": null,
|
| 60 |
+
"metadata": {},
|
| 61 |
+
"outputs": [],
|
| 62 |
+
"source": [
|
| 63 |
+
"# Use Case 0: System DateTime\n",
|
| 64 |
+
"def get_current_datetime() -> dict:\n",
|
| 65 |
+
" \"\"\"Get current system date and time.\"\"\"\n",
|
| 66 |
+
" now = datetime.now()\n",
|
| 67 |
+
" return {\n",
|
| 68 |
+
" \"datetime\": now.isoformat(),\n",
|
| 69 |
+
" \"date\": now.strftime(\"%Y-%m-%d\"),\n",
|
| 70 |
+
" \"time\": now.strftime(\"%H:%M:%S\"),\n",
|
| 71 |
+
" \"day_of_week\": now.strftime(\"%A\"),\n",
|
| 72 |
+
" \"timezone\": now.astimezone().tzname()\n",
|
| 73 |
+
" }\n",
|
| 74 |
+
"\n",
|
| 75 |
+
"datetime_schema = {\n",
|
| 76 |
+
" \"type\": \"function\",\n",
|
| 77 |
+
" \"function\": {\n",
|
| 78 |
+
" \"name\": \"get_current_datetime\",\n",
|
| 79 |
+
" \"description\": \"Gets the current system date and time\",\n",
|
| 80 |
+
" \"parameters\": {\n",
|
| 81 |
+
" \"type\": \"OBJECT\",\n",
|
| 82 |
+
" \"properties\": {},\n",
|
| 83 |
+
" \"required\": [],\n",
|
| 84 |
+
" },\n",
|
| 85 |
+
" }\n",
|
| 86 |
+
"}"
|
| 87 |
+
]
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"cell_type": "code",
|
| 91 |
+
"execution_count": null,
|
| 92 |
+
"metadata": {},
|
| 93 |
+
"outputs": [],
|
| 94 |
+
"source": [
|
| 95 |
+
"# Use Case 1: Weather\n",
|
| 96 |
+
"def get_current_temperature(location: str) -> dict:\n",
|
| 97 |
+
" \"\"\"Get current temperature for a location.\"\"\"\n",
|
| 98 |
+
" temps = {\n",
|
| 99 |
+
" \"London\": 15, \"Paris\": 18, \"Tokyo\": 22,\n",
|
| 100 |
+
" \"New York\": 12, \"Sydney\": 25\n",
|
| 101 |
+
" }\n",
|
| 102 |
+
" return {\n",
|
| 103 |
+
" \"location\": location,\n",
|
| 104 |
+
" \"temperature\": temps.get(location, 20),\n",
|
| 105 |
+
" \"unit\": \"celsius\"\n",
|
| 106 |
+
" }\n",
|
| 107 |
+
"\n",
|
| 108 |
+
"weather_schema = {\n",
|
| 109 |
+
" \"type\": \"function\",\n",
|
| 110 |
+
" \"function\": {\n",
|
| 111 |
+
" \"name\": \"get_current_temperature\",\n",
|
| 112 |
+
" \"description\": \"Gets the current temperature for a given location.\",\n",
|
| 113 |
+
" \"parameters\": {\n",
|
| 114 |
+
" \"type\": \"OBJECT\",\n",
|
| 115 |
+
" \"properties\": {\n",
|
| 116 |
+
" \"location\": {\n",
|
| 117 |
+
" \"type\": \"STRING\",\n",
|
| 118 |
+
" \"description\": \"The city name, e.g. San Francisco\",\n",
|
| 119 |
+
" },\n",
|
| 120 |
+
" },\n",
|
| 121 |
+
" \"required\": [\"location\"],\n",
|
| 122 |
+
" },\n",
|
| 123 |
+
" }\n",
|
| 124 |
+
"}"
|
| 125 |
+
]
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"cell_type": "code",
|
| 129 |
+
"execution_count": null,
|
| 130 |
+
"metadata": {},
|
| 131 |
+
"outputs": [],
|
| 132 |
+
"source": [
|
| 133 |
+
"# Use Case 2: Calendar\n",
|
| 134 |
+
"def create_calendar_event(title: str, date: str, time: str) -> dict:\n",
|
| 135 |
+
" \"\"\"Create a calendar event.\"\"\"\n",
|
| 136 |
+
" return {\n",
|
| 137 |
+
" \"success\": True,\n",
|
| 138 |
+
" \"event\": {\n",
|
| 139 |
+
" \"title\": title,\n",
|
| 140 |
+
" \"date\": date,\n",
|
| 141 |
+
" \"time\": time,\n",
|
| 142 |
+
" \"event_id\": f\"evt_{hash(title+date)}\"\n",
|
| 143 |
+
" }\n",
|
| 144 |
+
" }\n",
|
| 145 |
+
"\n",
|
| 146 |
+
"calendar_schema = {\n",
|
| 147 |
+
" \"type\": \"function\",\n",
|
| 148 |
+
" \"function\": {\n",
|
| 149 |
+
" \"name\": \"create_calendar_event\",\n",
|
| 150 |
+
" \"description\": \"Creates a new event in the calendar\",\n",
|
| 151 |
+
" \"parameters\": {\n",
|
| 152 |
+
" \"type\": \"OBJECT\",\n",
|
| 153 |
+
" \"properties\": {\n",
|
| 154 |
+
" \"title\": {\"type\": \"STRING\", \"description\": \"Event title\"},\n",
|
| 155 |
+
" \"date\": {\"type\": \"STRING\", \"description\": \"Event date (YYYY-MM-DD)\"},\n",
|
| 156 |
+
" \"time\": {\"type\": \"STRING\", \"description\": \"Event time (HH:MM)\"}\n",
|
| 157 |
+
" },\n",
|
| 158 |
+
" \"required\": [\"title\", \"date\", \"time\"],\n",
|
| 159 |
+
" },\n",
|
| 160 |
+
" }\n",
|
| 161 |
+
"}"
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"cell_type": "code",
|
| 166 |
+
"execution_count": null,
|
| 167 |
+
"metadata": {},
|
| 168 |
+
"outputs": [],
|
| 169 |
+
"source": [
|
| 170 |
+
"# Use Case 3: Email\n",
|
| 171 |
+
"def send_email(recipient: str, subject: str, body: str) -> dict:\n",
|
| 172 |
+
" \"\"\"Send an email.\"\"\"\n",
|
| 173 |
+
" return {\n",
|
| 174 |
+
" \"success\": True,\n",
|
| 175 |
+
" \"message_id\": f\"msg_{hash(recipient+subject)}\",\n",
|
| 176 |
+
" \"sent_to\": recipient\n",
|
| 177 |
+
" }\n",
|
| 178 |
+
"\n",
|
| 179 |
+
"email_schema = {\n",
|
| 180 |
+
" \"type\": \"function\",\n",
|
| 181 |
+
" \"function\": {\n",
|
| 182 |
+
" \"name\": \"send_email\",\n",
|
| 183 |
+
" \"description\": \"Sends an email to a recipient\",\n",
|
| 184 |
+
" \"parameters\": {\n",
|
| 185 |
+
" \"type\": \"OBJECT\",\n",
|
| 186 |
+
" \"properties\": {\n",
|
| 187 |
+
" \"recipient\": {\"type\": \"STRING\", \"description\": \"Email address\"},\n",
|
| 188 |
+
" \"subject\": {\"type\": \"STRING\", \"description\": \"Email subject\"},\n",
|
| 189 |
+
" \"body\": {\"type\": \"STRING\", \"description\": \"Email body\"}\n",
|
| 190 |
+
" },\n",
|
| 191 |
+
" \"required\": [\"recipient\", \"subject\", \"body\"],\n",
|
| 192 |
+
" },\n",
|
| 193 |
+
" }\n",
|
| 194 |
+
"}"
|
| 195 |
+
]
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"cell_type": "code",
|
| 199 |
+
"execution_count": null,
|
| 200 |
+
"metadata": {},
|
| 201 |
+
"outputs": [],
|
| 202 |
+
"source": [
|
| 203 |
+
"# Use Case 4: Database\n",
|
| 204 |
+
"def search_database(query: str, table: str) -> dict:\n",
|
| 205 |
+
" \"\"\"Search database.\"\"\"\n",
|
| 206 |
+
" return {\n",
|
| 207 |
+
" \"results\": [\n",
|
| 208 |
+
" {\"id\": 1, \"name\": \"Result 1\"},\n",
|
| 209 |
+
" {\"id\": 2, \"name\": \"Result 2\"}\n",
|
| 210 |
+
" ],\n",
|
| 211 |
+
" \"count\": 2,\n",
|
| 212 |
+
" \"table\": table\n",
|
| 213 |
+
" }\n",
|
| 214 |
+
"\n",
|
| 215 |
+
"database_schema = {\n",
|
| 216 |
+
" \"type\": \"function\",\n",
|
| 217 |
+
" \"function\": {\n",
|
| 218 |
+
" \"name\": \"search_database\",\n",
|
| 219 |
+
" \"description\": \"Searches a database table\",\n",
|
| 220 |
+
" \"parameters\": {\n",
|
| 221 |
+
" \"type\": \"OBJECT\",\n",
|
| 222 |
+
" \"properties\": {\n",
|
| 223 |
+
" \"query\": {\"type\": \"STRING\", \"description\": \"Search query\"},\n",
|
| 224 |
+
" \"table\": {\"type\": \"STRING\", \"description\": \"Table name\"}\n",
|
| 225 |
+
" },\n",
|
| 226 |
+
" \"required\": [\"query\", \"table\"],\n",
|
| 227 |
+
" },\n",
|
| 228 |
+
" }\n",
|
| 229 |
+
"}"
|
| 230 |
+
]
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"cell_type": "code",
|
| 234 |
+
"execution_count": null,
|
| 235 |
+
"metadata": {},
|
| 236 |
+
"outputs": [],
|
| 237 |
+
"source": [
|
| 238 |
+
"# Use Case 5: File System\n",
|
| 239 |
+
"def list_files(directory: str) -> dict:\n",
|
| 240 |
+
" \"\"\"List files in directory.\"\"\"\n",
|
| 241 |
+
" return {\n",
|
| 242 |
+
" \"files\": [\"file1.txt\", \"file2.py\", \"file3.md\"],\n",
|
| 243 |
+
" \"count\": 3,\n",
|
| 244 |
+
" \"directory\": directory\n",
|
| 245 |
+
" }\n",
|
| 246 |
+
"\n",
|
| 247 |
+
"filesystem_schema = {\n",
|
| 248 |
+
" \"type\": \"function\",\n",
|
| 249 |
+
" \"function\": {\n",
|
| 250 |
+
" \"name\": \"list_files\",\n",
|
| 251 |
+
" \"description\": \"Lists files in a directory\",\n",
|
| 252 |
+
" \"parameters\": {\n",
|
| 253 |
+
" \"type\": \"OBJECT\",\n",
|
| 254 |
+
" \"properties\": {\n",
|
| 255 |
+
" \"directory\": {\"type\": \"STRING\", \"description\": \"Directory path\"}\n",
|
| 256 |
+
" },\n",
|
| 257 |
+
" \"required\": [\"directory\"],\n",
|
| 258 |
+
" },\n",
|
| 259 |
+
" }\n",
|
| 260 |
+
"}"
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"cell_type": "code",
|
| 265 |
+
"execution_count": null,
|
| 266 |
+
"metadata": {},
|
| 267 |
+
"outputs": [],
|
| 268 |
+
"source": [
|
| 269 |
+
"# Use Case 6: Translation\n",
|
| 270 |
+
"def translate_text(text: str, target_language: str) -> dict:\n",
|
| 271 |
+
" \"\"\"Translate text.\"\"\"\n",
|
| 272 |
+
" return {\n",
|
| 273 |
+
" \"original\": text,\n",
|
| 274 |
+
" \"translated\": f\"[{target_language.upper()}] {text}\",\n",
|
| 275 |
+
" \"language\": target_language\n",
|
| 276 |
+
" }\n",
|
| 277 |
+
"\n",
|
| 278 |
+
"translation_schema = {\n",
|
| 279 |
+
" \"type\": \"function\",\n",
|
| 280 |
+
" \"function\": {\n",
|
| 281 |
+
" \"name\": \"translate_text\",\n",
|
| 282 |
+
" \"description\": \"Translates text to another language\",\n",
|
| 283 |
+
" \"parameters\": {\n",
|
| 284 |
+
" \"type\": \"OBJECT\",\n",
|
| 285 |
+
" \"properties\": {\n",
|
| 286 |
+
" \"text\": {\"type\": \"STRING\", \"description\": \"Text to translate\"},\n",
|
| 287 |
+
" \"target_language\": {\"type\": \"STRING\", \"description\": \"Target language (e.g., Spanish, French)\"}\n",
|
| 288 |
+
" },\n",
|
| 289 |
+
" \"required\": [\"text\", \"target_language\"],\n",
|
| 290 |
+
" },\n",
|
| 291 |
+
" }\n",
|
| 292 |
+
"}"
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"cell_type": "code",
|
| 297 |
+
"execution_count": null,
|
| 298 |
+
"metadata": {},
|
| 299 |
+
"outputs": [],
|
| 300 |
+
"source": [
|
| 301 |
+
"# Use Case 7: Calculator\n",
|
| 302 |
+
"def calculate(expression: str) -> dict:\n",
|
| 303 |
+
" \"\"\"Calculate expression.\"\"\"\n",
|
| 304 |
+
" try:\n",
|
| 305 |
+
" result = eval(expression)\n",
|
| 306 |
+
" return {\"expression\": expression, \"result\": result, \"success\": True}\n",
|
| 307 |
+
" except Exception as e:\n",
|
| 308 |
+
" return {\"expression\": expression, \"error\": str(e), \"success\": False}\n",
|
| 309 |
+
"\n",
|
| 310 |
+
"calculator_schema = {\n",
|
| 311 |
+
" \"type\": \"function\",\n",
|
| 312 |
+
" \"function\": {\n",
|
| 313 |
+
" \"name\": \"calculate\",\n",
|
| 314 |
+
" \"description\": \"Evaluates a mathematical expression\",\n",
|
| 315 |
+
" \"parameters\": {\n",
|
| 316 |
+
" \"type\": \"OBJECT\",\n",
|
| 317 |
+
" \"properties\": {\n",
|
| 318 |
+
" \"expression\": {\"type\": \"STRING\", \"description\": \"Math expression (e.g., '2+2', '10*5')\"}\n",
|
| 319 |
+
" },\n",
|
| 320 |
+
" \"required\": [\"expression\"],\n",
|
| 321 |
+
" },\n",
|
| 322 |
+
" }\n",
|
| 323 |
+
"}"
|
| 324 |
+
]
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"cell_type": "code",
|
| 328 |
+
"execution_count": null,
|
| 329 |
+
"metadata": {},
|
| 330 |
+
"outputs": [],
|
| 331 |
+
"source": [
|
| 332 |
+
"# Use Case 8: Timer\n",
|
| 333 |
+
"def set_timer(duration_minutes: int, label: str) -> dict:\n",
|
| 334 |
+
" \"\"\"Set a timer.\"\"\"\n",
|
| 335 |
+
" return {\n",
|
| 336 |
+
" \"timer_id\": f\"timer_{hash(label)}\",\n",
|
| 337 |
+
" \"duration_minutes\": duration_minutes,\n",
|
| 338 |
+
" \"label\": label,\n",
|
| 339 |
+
" \"status\": \"active\"\n",
|
| 340 |
+
" }\n",
|
| 341 |
+
"\n",
|
| 342 |
+
"timer_schema = {\n",
|
| 343 |
+
" \"type\": \"function\",\n",
|
| 344 |
+
" \"function\": {\n",
|
| 345 |
+
" \"name\": \"set_timer\",\n",
|
| 346 |
+
" \"description\": \"Sets a timer with specified duration\",\n",
|
| 347 |
+
" \"parameters\": {\n",
|
| 348 |
+
" \"type\": \"OBJECT\",\n",
|
| 349 |
+
" \"properties\": {\n",
|
| 350 |
+
" \"duration_minutes\": {\"type\": \"NUMBER\", \"description\": \"Duration in minutes\"},\n",
|
| 351 |
+
" \"label\": {\"type\": \"STRING\", \"description\": \"Timer label\"}\n",
|
| 352 |
+
" },\n",
|
| 353 |
+
" \"required\": [\"duration_minutes\", \"label\"],\n",
|
| 354 |
+
" },\n",
|
| 355 |
+
" }\n",
|
| 356 |
+
"}"
|
| 357 |
+
]
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"cell_type": "code",
|
| 361 |
+
"execution_count": null,
|
| 362 |
+
"metadata": {},
|
| 363 |
+
"outputs": [],
|
| 364 |
+
"source": [
|
| 365 |
+
"# Use Case 9: News\n",
|
| 366 |
+
"def get_news(category: str, limit: int) -> dict:\n",
|
| 367 |
+
" \"\"\"Get news articles.\"\"\"\n",
|
| 368 |
+
" return {\n",
|
| 369 |
+
" \"category\": category,\n",
|
| 370 |
+
" \"articles\": [f\"Article {i+1}\" for i in range(limit)],\n",
|
| 371 |
+
" \"count\": limit\n",
|
| 372 |
+
" }\n",
|
| 373 |
+
"\n",
|
| 374 |
+
"news_schema = {\n",
|
| 375 |
+
" \"type\": \"function\",\n",
|
| 376 |
+
" \"function\": {\n",
|
| 377 |
+
" \"name\": \"get_news\",\n",
|
| 378 |
+
" \"description\": \"Gets news articles by category\",\n",
|
| 379 |
+
" \"parameters\": {\n",
|
| 380 |
+
" \"type\": \"OBJECT\",\n",
|
| 381 |
+
" \"properties\": {\n",
|
| 382 |
+
" \"category\": {\"type\": \"STRING\", \"description\": \"News category (e.g., technology, sports)\"},\n",
|
| 383 |
+
" \"limit\": {\"type\": \"NUMBER\", \"description\": \"Number of articles\"}\n",
|
| 384 |
+
" },\n",
|
| 385 |
+
" \"required\": [\"category\", \"limit\"],\n",
|
| 386 |
+
" },\n",
|
| 387 |
+
" }\n",
|
| 388 |
+
"}"
|
| 389 |
+
]
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"cell_type": "code",
|
| 393 |
+
"execution_count": null,
|
| 394 |
+
"metadata": {},
|
| 395 |
+
"outputs": [],
|
| 396 |
+
"source": [
|
| 397 |
+
"# Use Case 10: Reminder\n",
|
| 398 |
+
"def create_reminder(task: str, reminder_time: str) -> dict:\n",
|
| 399 |
+
" \"\"\"Create a reminder.\"\"\"\n",
|
| 400 |
+
" return {\n",
|
| 401 |
+
" \"reminder_id\": f\"rem_{hash(task)}\",\n",
|
| 402 |
+
" \"task\": task,\n",
|
| 403 |
+
" \"reminder_time\": reminder_time,\n",
|
| 404 |
+
" \"status\": \"scheduled\"\n",
|
| 405 |
+
" }\n",
|
| 406 |
+
"\n",
|
| 407 |
+
"reminder_schema = {\n",
|
| 408 |
+
" \"type\": \"function\",\n",
|
| 409 |
+
" \"function\": {\n",
|
| 410 |
+
" \"name\": \"create_reminder\",\n",
|
| 411 |
+
" \"description\": \"Creates a reminder for a task\",\n",
|
| 412 |
+
" \"parameters\": {\n",
|
| 413 |
+
" \"type\": \"OBJECT\",\n",
|
| 414 |
+
" \"properties\": {\n",
|
| 415 |
+
" \"task\": {\"type\": \"STRING\", \"description\": \"Task description\"},\n",
|
| 416 |
+
" \"reminder_time\": {\"type\": \"STRING\", \"description\": \"Time for reminder (e.g., '2pm tomorrow')\"}\n",
|
| 417 |
+
" },\n",
|
| 418 |
+
" \"required\": [\"task\", \"reminder_time\"],\n",
|
| 419 |
+
" },\n",
|
| 420 |
+
" }\n",
|
| 421 |
+
"}"
|
| 422 |
+
]
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"cell_type": "markdown",
|
| 426 |
+
"metadata": {},
|
| 427 |
+
"source": [
|
| 428 |
+
"## Function & Schema Registry"
|
| 429 |
+
]
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"cell_type": "code",
|
| 433 |
+
"execution_count": null,
|
| 434 |
+
"metadata": {},
|
| 435 |
+
"outputs": [],
|
| 436 |
+
"source": [
|
| 437 |
+
"ALL_FUNCTIONS = {\n",
|
| 438 |
+
" \"get_current_datetime\": get_current_datetime,\n",
|
| 439 |
+
" \"get_current_temperature\": get_current_temperature,\n",
|
| 440 |
+
" \"create_calendar_event\": create_calendar_event,\n",
|
| 441 |
+
" \"send_email\": send_email,\n",
|
| 442 |
+
" \"search_database\": search_database,\n",
|
| 443 |
+
" \"list_files\": list_files,\n",
|
| 444 |
+
" \"translate_text\": translate_text,\n",
|
| 445 |
+
" \"calculate\": calculate,\n",
|
| 446 |
+
" \"set_timer\": set_timer,\n",
|
| 447 |
+
" \"get_news\": get_news,\n",
|
| 448 |
+
" \"create_reminder\": create_reminder\n",
|
| 449 |
+
"}\n",
|
| 450 |
+
"\n",
|
| 451 |
+
"ALL_SCHEMAS = {\n",
|
| 452 |
+
" \"datetime\": datetime_schema,\n",
|
| 453 |
+
" \"weather\": weather_schema,\n",
|
| 454 |
+
" \"calendar\": calendar_schema,\n",
|
| 455 |
+
" \"email\": email_schema,\n",
|
| 456 |
+
" \"database\": database_schema,\n",
|
| 457 |
+
" \"filesystem\": filesystem_schema,\n",
|
| 458 |
+
" \"translation\": translation_schema,\n",
|
| 459 |
+
" \"calculator\": calculator_schema,\n",
|
| 460 |
+
" \"timer\": timer_schema,\n",
|
| 461 |
+
" \"news\": news_schema,\n",
|
| 462 |
+
" \"reminder\": reminder_schema\n",
|
| 463 |
+
"}"
|
| 464 |
+
]
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"cell_type": "markdown",
|
| 468 |
+
"metadata": {},
|
| 469 |
+
"source": [
|
| 470 |
+
"## Response Parser\n",
|
| 471 |
+
"\n",
|
| 472 |
+
"FunctionGemma uses a specific format for function calls:\n",
|
| 473 |
+
"```\n",
|
| 474 |
+
"<start_function_call>call:function_name{key:value,key:value}<end_function_call>\n",
|
| 475 |
+
"```\n",
|
| 476 |
+
"\n",
|
| 477 |
+
"String values may be wrapped in `<escape>` tags."
|
| 478 |
+
]
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"cell_type": "code",
|
| 482 |
+
"execution_count": null,
|
| 483 |
+
"metadata": {},
|
| 484 |
+
"outputs": [],
|
| 485 |
+
"source": [
|
| 486 |
+
"def parse_function_call(response: str):\n",
|
| 487 |
+
" \"\"\"Parse FunctionGemma's response format.\"\"\"\n",
|
| 488 |
+
" if \"<start_function_call>\" not in response:\n",
|
| 489 |
+
" return None, None\n",
|
| 490 |
+
"\n",
|
| 491 |
+
" start = response.find(\"<start_function_call>\") + len(\"<start_function_call>\")\n",
|
| 492 |
+
" end = response.find(\"<end_function_call>\")\n",
|
| 493 |
+
"\n",
|
| 494 |
+
" if end == -1:\n",
|
| 495 |
+
" call_str = response[start:].strip()\n",
|
| 496 |
+
" else:\n",
|
| 497 |
+
" call_str = response[start:end].strip()\n",
|
| 498 |
+
"\n",
|
| 499 |
+
" # Parse: call:function_name{key:value,key:value}\n",
|
| 500 |
+
" match = re.match(r'call:([\\w_]+)\\{([^}]*)\\}?', call_str, re.DOTALL)\n",
|
| 501 |
+
" if not match:\n",
|
| 502 |
+
" return None, None\n",
|
| 503 |
+
"\n",
|
| 504 |
+
" func_name = match.group(1)\n",
|
| 505 |
+
" args_str = match.group(2).strip()\n",
|
| 506 |
+
"\n",
|
| 507 |
+
" # Handle empty parameters\n",
|
| 508 |
+
" if not args_str:\n",
|
| 509 |
+
" return func_name, {}\n",
|
| 510 |
+
"\n",
|
| 511 |
+
" # Process escape tags\n",
|
| 512 |
+
" temp = args_str\n",
|
| 513 |
+
" while '<escape>' in temp:\n",
|
| 514 |
+
" start_idx = temp.find('<escape>')\n",
|
| 515 |
+
" end_idx = temp.find('<escape>', start_idx + 8)\n",
|
| 516 |
+
" if end_idx != -1:\n",
|
| 517 |
+
" escaped_content = temp[start_idx+8:end_idx]\n",
|
| 518 |
+
" temp = temp[:start_idx] + escaped_content + temp[end_idx+8:]\n",
|
| 519 |
+
" else:\n",
|
| 520 |
+
" temp = temp.replace('<escape>', '')\n",
|
| 521 |
+
" break\n",
|
| 522 |
+
"\n",
|
| 523 |
+
" # Parse key:value pairs\n",
|
| 524 |
+
" args = {}\n",
|
| 525 |
+
" for pair in temp.split(','):\n",
|
| 526 |
+
" if ':' in pair:\n",
|
| 527 |
+
" key, value = pair.split(':', 1)\n",
|
| 528 |
+
" key = key.strip()\n",
|
| 529 |
+
" value = value.strip()\n",
|
| 530 |
+
"\n",
|
| 531 |
+
" # Type conversion\n",
|
| 532 |
+
" try:\n",
|
| 533 |
+
" if '.' in value:\n",
|
| 534 |
+
" args[key] = float(value)\n",
|
| 535 |
+
" else:\n",
|
| 536 |
+
" args[key] = int(value)\n",
|
| 537 |
+
" except ValueError:\n",
|
| 538 |
+
" args[key] = value.strip('\"\\'')\n",
|
| 539 |
+
"\n",
|
| 540 |
+
" return func_name, args"
|
| 541 |
+
]
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"cell_type": "markdown",
|
| 545 |
+
"metadata": {},
|
| 546 |
+
"source": [
|
| 547 |
+
"## Test Runner"
|
| 548 |
+
]
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"cell_type": "code",
|
| 552 |
+
"execution_count": null,
|
| 553 |
+
"metadata": {},
|
| 554 |
+
"outputs": [],
|
| 555 |
+
"source": [
|
| 556 |
+
"def run_function_call(query: str, schema: dict, verbose: bool = True) -> dict:\n",
|
| 557 |
+
" \"\"\"\n",
|
| 558 |
+
" Run a function call with FunctionGemma.\n",
|
| 559 |
+
"\n",
|
| 560 |
+
" Args:\n",
|
| 561 |
+
" query: Natural language query from the user\n",
|
| 562 |
+
" schema: Function schema to make available\n",
|
| 563 |
+
" verbose: Whether to print detailed output\n",
|
| 564 |
+
"\n",
|
| 565 |
+
" Returns:\n",
|
| 566 |
+
" dict with 'success', 'function', 'args', and 'result' keys\n",
|
| 567 |
+
" \"\"\"\n",
|
| 568 |
+
" current_dt = get_current_datetime()\n",
|
| 569 |
+
"\n",
|
| 570 |
+
" # IMPORTANT: Developer role activates function calling\n",
|
| 571 |
+
" messages = [\n",
|
| 572 |
+
" {\n",
|
| 573 |
+
" \"role\": \"developer\",\n",
|
| 574 |
+
" \"content\": f\"\"\"You are a model that can do function calling with the following functions.\n",
|
| 575 |
+
"\n",
|
| 576 |
+
"Current system information:\n",
|
| 577 |
+
"- Date: {current_dt['date']} ({current_dt['day_of_week']})\n",
|
| 578 |
+
"- Time: {current_dt['time']}\n",
|
| 579 |
+
"- Timezone: {current_dt['timezone']}\"\"\"\n",
|
| 580 |
+
" },\n",
|
| 581 |
+
" {\n",
|
| 582 |
+
" \"role\": \"user\",\n",
|
| 583 |
+
" \"content\": query\n",
|
| 584 |
+
" }\n",
|
| 585 |
+
" ]\n",
|
| 586 |
+
"\n",
|
| 587 |
+
" # Apply chat template with tools\n",
|
| 588 |
+
" prompt = tokenizer.apply_chat_template(\n",
|
| 589 |
+
" messages,\n",
|
| 590 |
+
" tools=[schema],\n",
|
| 591 |
+
" add_generation_prompt=True,\n",
|
| 592 |
+
" tokenize=False\n",
|
| 593 |
+
" )\n",
|
| 594 |
+
"\n",
|
| 595 |
+
" # Generate response\n",
|
| 596 |
+
" response = generate(model, tokenizer, prompt=prompt, max_tokens=1024, verbose=False)\n",
|
| 597 |
+
"\n",
|
| 598 |
+
" if verbose:\n",
|
| 599 |
+
" print(f\"Query: {query}\")\n",
|
| 600 |
+
" print(f\"Response: {response}\")\n",
|
| 601 |
+
"\n",
|
| 602 |
+
" # Parse and execute\n",
|
| 603 |
+
" func_name, func_args = parse_function_call(response)\n",
|
| 604 |
+
"\n",
|
| 605 |
+
" if func_name and func_args is not None:\n",
|
| 606 |
+
" if verbose:\n",
|
| 607 |
+
" print(f\"\\n✅ Function: {func_name}()\")\n",
|
| 608 |
+
" print(f\" Arguments: {json.dumps(func_args, indent=2)}\")\n",
|
| 609 |
+
"\n",
|
| 610 |
+
" if func_name in ALL_FUNCTIONS:\n",
|
| 611 |
+
" result = ALL_FUNCTIONS[func_name](**func_args)\n",
|
| 612 |
+
" if verbose:\n",
|
| 613 |
+
" print(f\" Result: {json.dumps(result, indent=2)}\")\n",
|
| 614 |
+
" return {\"success\": True, \"function\": func_name, \"args\": func_args, \"result\": result}\n",
|
| 615 |
+
"\n",
|
| 616 |
+
" if verbose:\n",
|
| 617 |
+
" print(\"\\n❌ No function call detected\")\n",
|
| 618 |
+
" return {\"success\": False, \"function\": None, \"args\": None, \"result\": None}"
|
| 619 |
+
]
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"cell_type": "markdown",
|
| 623 |
+
"metadata": {},
|
| 624 |
+
"source": [
|
| 625 |
+
"## Examples\n",
|
| 626 |
+
"\n",
|
| 627 |
+
"Let's test each use case:"
|
| 628 |
+
]
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"cell_type": "code",
|
| 632 |
+
"execution_count": null,
|
| 633 |
+
"metadata": {},
|
| 634 |
+
"outputs": [],
|
| 635 |
+
"source": [
|
| 636 |
+
"# DateTime\n",
|
| 637 |
+
"run_function_call(\"What is the current date and time?\", datetime_schema)"
|
| 638 |
+
]
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"cell_type": "code",
|
| 642 |
+
"execution_count": null,
|
| 643 |
+
"metadata": {},
|
| 644 |
+
"outputs": [],
|
| 645 |
+
"source": [
|
| 646 |
+
"# Weather\n",
|
| 647 |
+
"run_function_call(\"What's the temperature in London?\", weather_schema)"
|
| 648 |
+
]
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"cell_type": "code",
|
| 652 |
+
"execution_count": null,
|
| 653 |
+
"metadata": {},
|
| 654 |
+
"outputs": [],
|
| 655 |
+
"source": [
|
| 656 |
+
"# Calendar\n",
|
| 657 |
+
"run_function_call(\"Create a meeting event for tomorrow at 2pm called Team Sync\", calendar_schema)"
|
| 658 |
+
]
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"cell_type": "code",
|
| 662 |
+
"execution_count": null,
|
| 663 |
+
"metadata": {},
|
| 664 |
+
"outputs": [],
|
| 665 |
+
"source": [
|
| 666 |
+
"# Email\n",
|
| 667 |
+
"run_function_call(\n",
|
| 668 |
+
" \"Send an email to john@example.com with subject 'Meeting' and body 'See you tomorrow'\",\n",
|
| 669 |
+
" email_schema\n",
|
| 670 |
+
")"
|
| 671 |
+
]
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"cell_type": "code",
|
| 675 |
+
"execution_count": null,
|
| 676 |
+
"metadata": {},
|
| 677 |
+
"outputs": [],
|
| 678 |
+
"source": [
|
| 679 |
+
"# Database\n",
|
| 680 |
+
"run_function_call(\"Search the users table for active accounts\", database_schema)"
|
| 681 |
+
]
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"cell_type": "code",
|
| 685 |
+
"execution_count": null,
|
| 686 |
+
"metadata": {},
|
| 687 |
+
"outputs": [],
|
| 688 |
+
"source": [
|
| 689 |
+
"# File System\n",
|
| 690 |
+
"run_function_call(\"List files in the /home/user directory\", filesystem_schema)"
|
| 691 |
+
]
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"cell_type": "code",
|
| 695 |
+
"execution_count": null,
|
| 696 |
+
"metadata": {},
|
| 697 |
+
"outputs": [],
|
| 698 |
+
"source": [
|
| 699 |
+
"# Translation\n",
|
| 700 |
+
"run_function_call(\"Translate 'Hello World' to Spanish\", translation_schema)"
|
| 701 |
+
]
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"cell_type": "code",
|
| 705 |
+
"execution_count": null,
|
| 706 |
+
"metadata": {},
|
| 707 |
+
"outputs": [],
|
| 708 |
+
"source": [
|
| 709 |
+
"# Calculator\n",
|
| 710 |
+
"run_function_call(\"Calculate 25 * 4 + 10\", calculator_schema)"
|
| 711 |
+
]
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"cell_type": "code",
|
| 715 |
+
"execution_count": null,
|
| 716 |
+
"metadata": {},
|
| 717 |
+
"outputs": [],
|
| 718 |
+
"source": [
|
| 719 |
+
"# Timer\n",
|
| 720 |
+
"run_function_call(\"Set a 5 minute timer for coffee\", timer_schema)"
|
| 721 |
+
]
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"cell_type": "code",
|
| 725 |
+
"execution_count": null,
|
| 726 |
+
"metadata": {},
|
| 727 |
+
"outputs": [],
|
| 728 |
+
"source": [
|
| 729 |
+
"# News\n",
|
| 730 |
+
"run_function_call(\"Get 3 technology news articles\", news_schema)"
|
| 731 |
+
]
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"cell_type": "code",
|
| 735 |
+
"execution_count": null,
|
| 736 |
+
"metadata": {},
|
| 737 |
+
"outputs": [],
|
| 738 |
+
"source": [
|
| 739 |
+
"# Reminder\n",
|
| 740 |
+
"run_function_call(\"Remind me to call mom at 6pm today\", reminder_schema)"
|
| 741 |
+
]
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"cell_type": "markdown",
|
| 745 |
+
"metadata": {},
|
| 746 |
+
"source": [
|
| 747 |
+
"## Run All Tests"
|
| 748 |
+
]
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"cell_type": "code",
|
| 752 |
+
"execution_count": null,
|
| 753 |
+
"metadata": {},
|
| 754 |
+
"outputs": [],
|
| 755 |
+
"source": [
|
| 756 |
+
"test_cases = [\n",
|
| 757 |
+
" (\"datetime\", datetime_schema, \"What is the current date and time?\"),\n",
|
| 758 |
+
" (\"weather\", weather_schema, \"What's the temperature in London?\"),\n",
|
| 759 |
+
" (\"calendar\", calendar_schema, \"Create a meeting event for tomorrow at 2pm called Team Sync\"),\n",
|
| 760 |
+
" (\"email\", email_schema, \"Send an email to john@example.com with subject 'Meeting' and body 'See you tomorrow'\"),\n",
|
| 761 |
+
" (\"database\", database_schema, \"Search the users table for active accounts\"),\n",
|
| 762 |
+
" (\"filesystem\", filesystem_schema, \"List files in the /home/user directory\"),\n",
|
| 763 |
+
" (\"translation\", translation_schema, \"Translate 'Hello World' to Spanish\"),\n",
|
| 764 |
+
" (\"calculator\", calculator_schema, \"Calculate 25 * 4 + 10\"),\n",
|
| 765 |
+
" (\"timer\", timer_schema, \"Set a 5 minute timer for coffee\"),\n",
|
| 766 |
+
" (\"news\", news_schema, \"Get 3 technology news articles\"),\n",
|
| 767 |
+
" (\"reminder\", reminder_schema, \"Remind me to call mom at 6pm today\")\n",
|
| 768 |
+
"]\n",
|
| 769 |
+
"\n",
|
| 770 |
+
"successful = 0\n",
|
| 771 |
+
"for name, schema, query in test_cases:\n",
|
| 772 |
+
" print(f\"\\n{'='*60}\")\n",
|
| 773 |
+
" print(f\"USE CASE: {name.upper()}\")\n",
|
| 774 |
+
" print(f\"{'='*60}\")\n",
|
| 775 |
+
" result = run_function_call(query, schema)\n",
|
| 776 |
+
" if result[\"success\"]:\n",
|
| 777 |
+
" successful += 1\n",
|
| 778 |
+
"\n",
|
| 779 |
+
"print(f\"\\n\\n{'='*60}\")\n",
|
| 780 |
+
"print(f\"SUMMARY: {successful}/{len(test_cases)} tests passed ({successful/len(test_cases)*100:.1f}%)\")\n",
|
| 781 |
+
"print(f\"{'='*60}\")"
|
| 782 |
+
]
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"cell_type": "markdown",
|
| 786 |
+
"metadata": {},
|
| 787 |
+
"source": [
|
| 788 |
+
"## Key Takeaways\n",
|
| 789 |
+
"\n",
|
| 790 |
+
"1. **Developer Role**: Use `role: \"developer\"` to activate function calling mode\n",
|
| 791 |
+
"2. **Schema Format**: Follow the OBJECT/STRING/NUMBER type format in schemas\n",
|
| 792 |
+
"3. **Response Format**: FunctionGemma uses `<start_function_call>call:name{args}<end_function_call>`\n",
|
| 793 |
+
"4. **Escaped Strings**: String values may be wrapped in `<escape>` tags\n",
|
| 794 |
+
"5. **Context**: Providing current datetime helps with time-aware queries"
|
| 795 |
+
]
|
| 796 |
+
}
|
| 797 |
+
],
|
| 798 |
+
"metadata": {
|
| 799 |
+
"kernelspec": {
|
| 800 |
+
"display_name": "mlx",
|
| 801 |
+
"language": "python",
|
| 802 |
+
"name": "python3"
|
| 803 |
+
},
|
| 804 |
+
"language_info": {
|
| 805 |
+
"codemirror_mode": {
|
| 806 |
+
"name": "ipython",
|
| 807 |
+
"version": 3
|
| 808 |
+
},
|
| 809 |
+
"file_extension": ".py",
|
| 810 |
+
"mimetype": "text/x-python",
|
| 811 |
+
"name": "python",
|
| 812 |
+
"nbconvert_exporter": "python",
|
| 813 |
+
"pygments_lexer": "ipython3",
|
| 814 |
+
"version": "3.12.12"
|
| 815 |
+
}
|
| 816 |
+
},
|
| 817 |
+
"nbformat": 4,
|
| 818 |
+
"nbformat_minor": 4
|
| 819 |
+
}
|