mirror of
https://github.com/james-m-jordan/openai-cookbook.git
synced 2025-05-09 19:32:38 +00:00
Ted/remove eval from function calling examples (#518)
* replaces eval with json.loads for better code safety * fixes link to be relative, not URL
This commit is contained in:
Ted Sanders
GitHub
parent
0fa6534747
commit
31a3a7b406
@ -31,51 +31,14 @@
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],
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"source": [
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"source": [
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"!pip install scipy\n",
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"!pip install scipy\n",
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"!pip install tenacity\n",
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"!pip install tenacity\n",
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@ -87,7 +50,7 @@
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@ -258,10 +221,10 @@
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"data": {
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"text/plain": [
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"{'role': 'assistant',\n",
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"{'role': 'assistant',\n",
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" 'content': \"Sure, could you please tell me the city and state for which you'd like to know the weather?\"}"
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" 'content': 'In which city and state would you like to know the current weather?'}"
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@ -301,7 +264,7 @@
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" 'arguments': '{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\"\\n}'}}"
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" 'arguments': '{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\"\\n}'}}"
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"{'role': 'assistant',\n",
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" 'content': 'Sure, I can help you with that. Just tell me how many days you would like to forecast for.'}"
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" 'content': 'Sure, I can help you with that. Please provide me with the number of days you want to forecast for.'}"
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" 'finish_reason': 'function_call'}"
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" 'arguments': '{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\",\\n \"num_days\": 1\\n}'}}"
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" 'arguments': '{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\",\\n \"num_days\": 1\\n}'}}"
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" 'arguments': '{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\"\\n}'}}"
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"{'role': 'assistant', 'content': 'Sure, let me get that information for you.'}"
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" 'content': '{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\"\\n}'}"
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" if message[\"function_call\"][\"name\"] == \"ask_database\":\n",
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" if message[\"function_call\"][\"name\"] == \"ask_database\":\n",
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" query = eval(message[\"function_call\"][\"arguments\"])[\"query\"]\n",
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" query = json.loads(message[\"function_call\"][\"arguments\"])[\"query\"]\n",
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" results = ask_database(conn, query)\n",
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" results = f\"Error: function {message['function_call']['name']} does not exist\"\n",
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"outputs": [
|
"outputs": [
|
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@ -689,14 +651,14 @@
|
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"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"\u001B[31msystem: Answer user questions by generating SQL queries against the Chinook Music Database.\n",
|
"system: Answer user questions by generating SQL queries against the Chinook Music Database.\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[32muser: Hi, who are the top 5 artists by number of tracks?\n",
|
"user: Hi, who are the top 5 artists by number of tracks?\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[34massistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT Artist.Name, COUNT(Track.TrackId) AS TrackCount FROM Artist INNER JOIN Album ON Artist.ArtistId = Album.ArtistId INNER JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Artist.Name ORDER BY TrackCount DESC LIMIT 5;\"\\n}'}\n",
|
"assistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT ar.Name, COUNT(t.TrackId) AS NumTracks FROM Artist ar INNER JOIN Album al ON ar.ArtistId = al.ArtistId INNER JOIN Track t ON al.AlbumId = t.AlbumId GROUP BY ar.ArtistId ORDER BY NumTracks DESC LIMIT 5\"\\n}'}\n",
|
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"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[35mfunction (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n",
|
"function (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n",
|
||||||
"\u001B[0m\n"
|
"\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
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@ -715,7 +677,7 @@
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|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 19,
|
"execution_count": 18,
|
||||||
"id": "710481dc",
|
"id": "710481dc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"scrolled": true
|
"scrolled": true
|
||||||
@ -725,20 +687,20 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"\u001B[31msystem: Answer user questions by generating SQL queries against the Chinook Music Database.\n",
|
"system: Answer user questions by generating SQL queries against the Chinook Music Database.\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[32muser: Hi, who are the top 5 artists by number of tracks?\n",
|
"user: Hi, who are the top 5 artists by number of tracks?\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[34massistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT Artist.Name, COUNT(Track.TrackId) AS TrackCount FROM Artist INNER JOIN Album ON Artist.ArtistId = Album.ArtistId INNER JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Artist.Name ORDER BY TrackCount DESC LIMIT 5;\"\\n}'}\n",
|
"assistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT ar.Name, COUNT(t.TrackId) AS NumTracks FROM Artist ar INNER JOIN Album al ON ar.ArtistId = al.ArtistId INNER JOIN Track t ON al.AlbumId = t.AlbumId GROUP BY ar.ArtistId ORDER BY NumTracks DESC LIMIT 5\"\\n}'}\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[35mfunction (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n",
|
"function (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[32muser: What is the name of the album with the most tracks?\n",
|
"user: What is the name of the album with the most tracks?\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[34massistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT Album.Title, COUNT(Track.TrackId) AS TrackCount FROM Album INNER JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Album.Title ORDER BY TrackCount DESC LIMIT 1;\"\\n}'}\n",
|
"assistant: {'name': 'ask_database', 'arguments': '{\\n \"query\": \"SELECT al.Title, COUNT(t.TrackId) AS NumTracks FROM Album al INNER JOIN Track t ON al.AlbumId = t.AlbumId GROUP BY al.AlbumId ORDER BY NumTracks DESC LIMIT 1\"\\n}'}\n",
|
||||||
"\u001B[0m\n",
|
"\n",
|
||||||
"\u001B[35mfunction (ask_database): [('Greatest Hits', 57)]\n",
|
"function (ask_database): [('Greatest Hits', 57)]\n",
|
||||||
"\u001B[0m\n"
|
"\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@ -754,13 +716,14 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "2d89073c",
|
"id": "2d89073c",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"## Next Steps\n",
|
"## Next Steps\n",
|
||||||
"\n",
|
"\n",
|
||||||
"See our other [notebook](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_call_functions_for_knowledge_retrieval.ipynb) that demonstrates how to use the Chat Completions API and functions for knowledge retrieval to interact conversationally with a knowledge base."
|
"See our other [notebook](How_to_call_functions_for_knowledge_retrieval.ipynb) that demonstrates how to use the Chat Completions API and functions for knowledge retrieval to interact conversationally with a knowledge base."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user