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L5_Leveraging_Assistants_API_for_SQL_Databases.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a2f88613",
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"metadata": {},
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"source": [
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"# Lesson 5: Leveraging Assistants API for SQL Databases"
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]
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+
},
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{
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+
"cell_type": "markdown",
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+
"id": "35d64829",
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+
"metadata": {},
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+
"source": [
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+
"## Setup"
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+
]
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+
},
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+
{
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+
"cell_type": "code",
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+
"execution_count": null,
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+
"id": "2565494f-532f-4fcb-99b0-e50fe1cb6eef",
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"metadata": {
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+
"height": 64
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+
},
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+
"outputs": [],
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+
"source": [
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+
"from openai import AzureOpenAI\n",
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"import json\n",
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"import os"
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]
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+
},
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+
{
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"cell_type": "markdown",
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"id": "e85ca259",
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+
"metadata": {},
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"source": [
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"## Import the helper function\n",
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"\n",
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"To access the ``Helper.py`` file, please go to the ``File`` menu and select ``Open...``."
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]
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},
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{
|
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+
"cell_type": "code",
|
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+
"execution_count": null,
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+
"id": "270ea973-e750-48d2-ad96-16c1a0406232",
|
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+
"metadata": {
|
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+
"height": 64
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+
},
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"outputs": [],
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"source": [
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"import Helper\n",
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"from Helper import get_positive_cases_for_state_on_date\n",
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"from Helper import get_hospitalized_increase_for_state_on_date"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2b16b04b",
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"metadata": {},
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"source": [
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"## Launch the Assistant API"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3d24b35d",
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"metadata": {},
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"source": [
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+
"**Note**: The pre-configured cloud resource grants you access to the Azure OpenAI GPT model. The key and endpoint provided below are intended for teaching purposes only. Your notebook environment is already set up with the necessary keys, which may differ from those used by the instructor during the filming."
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]
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},
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+
{
|
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+
"cell_type": "code",
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+
"execution_count": null,
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+
"id": "3842d0a1-e2af-4fba-8131-ec5d8ba92927",
|
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+
"metadata": {
|
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+
"height": 285
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+
},
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"outputs": [],
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"source": [
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+
"client = AzureOpenAI(\n",
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+
" api_key=os.getenv(\"AZURE_OPENAI_KEY\"),\n",
|
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+
" api_version=\"2024-02-15-preview\",\n",
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+
" azure_endpoint = os.getenv(\"AZURE_OPENAI_ENDPOINT\")\n",
|
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+
" )\n",
|
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"\n",
|
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+
"# I) Create assistant\n",
|
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+
"assistant = client.beta.assistants.create(\n",
|
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+
" instructions=\"\"\"You are an assistant answering questions \n",
|
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+
" about a Covid dataset.\"\"\",\n",
|
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" model=\"gpt-4-1106\", \n",
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" tools=Helper.tools_sql)\n",
|
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"\n",
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"# II) Create thread\n",
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"thread = client.beta.threads.create()\n",
|
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"print(thread)"
|
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]
|
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},
|
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{
|
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+
"cell_type": "code",
|
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+
"execution_count": null,
|
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+
"id": "16c4150e-dac3-4f25-9a02-4cbffad8d35b",
|
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+
"metadata": {
|
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+
"height": 149
|
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+
},
|
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"outputs": [],
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"source": [
|
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"# III) Add message\n",
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"message = client.beta.threads.messages.create(\n",
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+
" thread_id=thread.id,\n",
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+
" role=\"user\",\n",
|
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+
" content=\"\"\"how many hospitalized people we had in Alaska\n",
|
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+
" the 2021-03-05?\"\"\"\n",
|
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")\n",
|
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+
"print(message)"
|
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+
]
|
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+
},
|
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+
{
|
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+
"cell_type": "code",
|
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+
"execution_count": null,
|
122 |
+
"id": "6f89fc9b-cad5-452f-9d9f-d6b48f722fa9",
|
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+
"metadata": {
|
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+
"height": 98
|
125 |
+
},
|
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+
"outputs": [],
|
127 |
+
"source": [
|
128 |
+
"messages = client.beta.threads.messages.list(\n",
|
129 |
+
" thread_id=thread.id\n",
|
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+
")\n",
|
131 |
+
"\n",
|
132 |
+
"print(messages.model_dump_json(indent=2))"
|
133 |
+
]
|
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+
},
|
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+
{
|
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+
"cell_type": "code",
|
137 |
+
"execution_count": null,
|
138 |
+
"id": "e402a07d-fd1c-454e-b2fb-b2c71fb76a6a",
|
139 |
+
"metadata": {
|
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+
"height": 115
|
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+
},
|
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+
"outputs": [],
|
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+
"source": [
|
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+
"# IV) Run assistant on thread\n",
|
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+
"\n",
|
146 |
+
"run = client.beta.threads.runs.create(\n",
|
147 |
+
" thread_id=thread.id,\n",
|
148 |
+
" assistant_id=assistant.id,\n",
|
149 |
+
")"
|
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+
]
|
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+
},
|
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+
{
|
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+
"cell_type": "markdown",
|
154 |
+
"id": "025035a0",
|
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+
"metadata": {},
|
156 |
+
"source": [
|
157 |
+
"## Leverage the function calling with Assistants API"
|
158 |
+
]
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"cell_type": "code",
|
162 |
+
"execution_count": null,
|
163 |
+
"id": "cf1b35b9-f4fa-4b3f-ac38-54366c3230fd",
|
164 |
+
"metadata": {
|
165 |
+
"height": 914
|
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+
},
|
167 |
+
"outputs": [],
|
168 |
+
"source": [
|
169 |
+
"import time\n",
|
170 |
+
"from IPython.display import clear_output\n",
|
171 |
+
"\n",
|
172 |
+
"start_time = time.time()\n",
|
173 |
+
"\n",
|
174 |
+
"status = run.status\n",
|
175 |
+
"\n",
|
176 |
+
"while status not in [\"completed\", \"cancelled\", \"expired\", \"failed\"]:\n",
|
177 |
+
" time.sleep(5)\n",
|
178 |
+
" run = client.beta.threads.runs.retrieve(\n",
|
179 |
+
" thread_id=thread.id,run_id=run.id\n",
|
180 |
+
" )\n",
|
181 |
+
" print(\"Elapsed time: {} minutes {} seconds\".format(\n",
|
182 |
+
" int((time.time() - start_time) // 60),\n",
|
183 |
+
" int((time.time() - start_time) % 60))\n",
|
184 |
+
" )\n",
|
185 |
+
" status = run.status\n",
|
186 |
+
" print(f'Status: {status}')\n",
|
187 |
+
" if (status==\"requires_action\"):\n",
|
188 |
+
" available_functions = {\n",
|
189 |
+
" \"get_positive_cases_for_state_on_date\": get_positive_cases_for_state_on_date,\n",
|
190 |
+
" \"get_hospitalized_increase_for_state_on_date\":get_hospitalized_increase_for_state_on_date\n",
|
191 |
+
" }\n",
|
192 |
+
"\n",
|
193 |
+
" tool_outputs = []\n",
|
194 |
+
" for tool_call in run.required_action.submit_tool_outputs.tool_calls:\n",
|
195 |
+
" function_name = tool_call.function.name\n",
|
196 |
+
" function_to_call = available_functions[function_name]\n",
|
197 |
+
" function_args = json.loads(tool_call.function.arguments)\n",
|
198 |
+
" function_response = function_to_call(\n",
|
199 |
+
" state_abbr=function_args.get(\"state_abbr\"),\n",
|
200 |
+
" specific_date=function_args.get(\"specific_date\"),\n",
|
201 |
+
" )\n",
|
202 |
+
" print(function_response)\n",
|
203 |
+
" print(tool_call.id)\n",
|
204 |
+
" tool_outputs.append(\n",
|
205 |
+
" { \"tool_call_id\": tool_call.id,\n",
|
206 |
+
" \"output\": str(function_response)\n",
|
207 |
+
" }\n",
|
208 |
+
" )\n",
|
209 |
+
"\n",
|
210 |
+
" run = client.beta.threads.runs.submit_tool_outputs(\n",
|
211 |
+
" thread_id=thread.id,\n",
|
212 |
+
" run_id=run.id,\n",
|
213 |
+
" tool_outputs = tool_outputs\n",
|
214 |
+
" )\n",
|
215 |
+
"\n",
|
216 |
+
"\n",
|
217 |
+
"messages = client.beta.threads.messages.list(\n",
|
218 |
+
" thread_id=thread.id\n",
|
219 |
+
")\n",
|
220 |
+
"\n",
|
221 |
+
"print(messages)"
|
222 |
+
]
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"cell_type": "code",
|
226 |
+
"execution_count": null,
|
227 |
+
"id": "c9bc1379-0ee3-49c3-a954-b026da3aa672",
|
228 |
+
"metadata": {
|
229 |
+
"height": 30
|
230 |
+
},
|
231 |
+
"outputs": [],
|
232 |
+
"source": [
|
233 |
+
"print(messages.model_dump_json(indent=2))"
|
234 |
+
]
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"cell_type": "markdown",
|
238 |
+
"id": "65faedb6",
|
239 |
+
"metadata": {},
|
240 |
+
"source": [
|
241 |
+
"## Add the code interpreter"
|
242 |
+
]
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"cell_type": "code",
|
246 |
+
"execution_count": null,
|
247 |
+
"id": "6768848b-30f1-4cf5-9c60-a84ec5abc97f",
|
248 |
+
"metadata": {
|
249 |
+
"height": 404
|
250 |
+
},
|
251 |
+
"outputs": [],
|
252 |
+
"source": [
|
253 |
+
"file = client.files.create(\n",
|
254 |
+
" file=open(\"./data/all-states-history.csv\", \"rb\"),\n",
|
255 |
+
" purpose='assistants'\n",
|
256 |
+
")\n",
|
257 |
+
"assistant = client.beta.assistants.create(\n",
|
258 |
+
" instructions=\"\"\"You are an assitant answering questions about\n",
|
259 |
+
" a Covid dataset.\"\"\",\n",
|
260 |
+
" model=\"gpt-4-1106\", \n",
|
261 |
+
" tools=[{\"type\": \"code_interpreter\"}],\n",
|
262 |
+
" file_ids=[file.id])\n",
|
263 |
+
"thread = client.beta.threads.create()\n",
|
264 |
+
"print(thread)\n",
|
265 |
+
"message = client.beta.threads.messages.create(\n",
|
266 |
+
" thread_id=thread.id,\n",
|
267 |
+
" role=\"user\",\n",
|
268 |
+
" content=\"\"\"how many hospitalized people we had in Alaska\n",
|
269 |
+
" the 2021-03-05?\"\"\"\n",
|
270 |
+
")\n",
|
271 |
+
"print(message)\n",
|
272 |
+
"run = client.beta.threads.runs.create(\n",
|
273 |
+
" thread_id=thread.id,\n",
|
274 |
+
" assistant_id=assistant.id,\n",
|
275 |
+
")"
|
276 |
+
]
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"cell_type": "code",
|
280 |
+
"execution_count": null,
|
281 |
+
"id": "41d278df-c8c9-4904-8ca5-4767a718d6bd",
|
282 |
+
"metadata": {
|
283 |
+
"height": 387
|
284 |
+
},
|
285 |
+
"outputs": [],
|
286 |
+
"source": [
|
287 |
+
"status = run.status\n",
|
288 |
+
"start_time = time.time()\n",
|
289 |
+
"while status not in [\"completed\", \"cancelled\", \"expired\", \"failed\"]:\n",
|
290 |
+
" time.sleep(5)\n",
|
291 |
+
" run = client.beta.threads.runs.retrieve(\n",
|
292 |
+
" thread_id=thread.id,\n",
|
293 |
+
" run_id=run.id\n",
|
294 |
+
" )\n",
|
295 |
+
" print(\"Elapsed time: {} minutes {} seconds\".format(\n",
|
296 |
+
" int((time.time() - start_time) // 60),\n",
|
297 |
+
" int((time.time() - start_time) % 60))\n",
|
298 |
+
" )\n",
|
299 |
+
" status = run.status\n",
|
300 |
+
" print(f'Status: {status}')\n",
|
301 |
+
" clear_output(wait=True)\n",
|
302 |
+
"\n",
|
303 |
+
"\n",
|
304 |
+
"messages = client.beta.threads.messages.list(\n",
|
305 |
+
" thread_id=thread.id\n",
|
306 |
+
")\n",
|
307 |
+
"\n",
|
308 |
+
"print(messages.model_dump_json(indent=2))"
|
309 |
+
]
|
310 |
+
}
|
311 |
+
],
|
312 |
+
"metadata": {
|
313 |
+
"kernelspec": {
|
314 |
+
"display_name": "Python 3 (ipykernel)",
|
315 |
+
"language": "python",
|
316 |
+
"name": "python3"
|
317 |
+
},
|
318 |
+
"language_info": {
|
319 |
+
"codemirror_mode": {
|
320 |
+
"name": "ipython",
|
321 |
+
"version": 3
|
322 |
+
},
|
323 |
+
"file_extension": ".py",
|
324 |
+
"mimetype": "text/x-python",
|
325 |
+
"name": "python",
|
326 |
+
"nbconvert_exporter": "python",
|
327 |
+
"pygments_lexer": "ipython3",
|
328 |
+
"version": "3.11.9"
|
329 |
+
}
|
330 |
+
},
|
331 |
+
"nbformat": 4,
|
332 |
+
"nbformat_minor": 5
|
333 |
+
}
|