"Failed to run code" fails run
CakeCrusher opened this issue · comments
When running a thread with an assistant that has code_interpreter tool I got this run:
{
"id": "f0bb35d1-57f9-4034-8f3f-81f4f0c98ffc",
"assistant_id": "198811ad-ee8e-4542-950a-8f6aa5df8a1b",
"cancelled_at": null,
"completed_at": null,
"created_at": 1705898183,
"expires_at": null,
"failed_at": 1705898185,
"file_ids": [],
"instructions": "",
"last_error": {
"code": "server_error",
"message": "Failed to run code: Max attempts reached\nPython code: "
},
"metadata": {},
"model": "",
"object": "",
"required_action": null,
"started_at": null,
"status": "failed",
"thread_id": "a0e9237a-4d88-4c29-b8f3-7315971eabcb",
"tools": []
}I used this prompt:
{
"content": "Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter."
}
What are the API logs? LLM used, etc.
@louis030195
Used LLM gpt-3.5-turbo
Logs
[2024-01-23T20:37:58Z INFO assistants_core::messages] Adding message to thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8, role: User, user_id: 00000000-0000-0000-0000-000000000000
thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8
[2024-01-23T20:37:58Z INFO assistants_core::runs] Running assistant_id: 198811ad-ee8e-4542-950a-8f6aa5df8a1b for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8
[2024-01-23T20:37:58Z INFO assistants_core::runs] Creating run for assistant_id: 198811ad-ee8e-4542-950a-8f6aa5df8a1b
[2024-01-23T20:37:58Z INFO assistants_core::runs] Updating run for run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:37:59Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:37:59Z INFO assistants_core::executor] Retrieving run
[2024-01-23T20:37:59Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:37:59Z INFO assistants_core::executor] Retrieving assistant Some("198811ad-ee8e-4542-950a-8f6aa5df8a1b")
[2024-01-23T20:37:59Z INFO assistants_core::runs] Updating run for run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:37:59Z WARN assistants_core::file_storage] Bucket already exists
[2024-01-23T20:37:59Z INFO assistants_core::executor] Retrieving thread 86d786a9-a495-49eb-95b3-ad116b4a30b8
[2024-01-23T20:37:59Z INFO assistants_core::threads] Getting thread from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8
[2024-01-23T20:37:59Z INFO assistants_core::messages] Listing messages for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8
[2024-01-23T20:37:59Z INFO assistants_core::executor] Formatted messages: <message>
{"content":[{"text":{"annotations":[],"value":"Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter."},"type":"text"}],"role":"user"}
</message>
[2024-01-23T20:37:59Z INFO assistants_core::executor] Assistant tools: [Code(AssistantToolsCode { type: "code_interpreter" })]
[2024-01-23T20:37:59Z INFO assistants_core::executor] Asking LLM to decide which tool to use
[2024-01-23T20:37:59Z INFO assistants_extra::llm] Calling OpenAI API with messages:
[Message { role: "system", content: "You are an assistant that decides which tool to
use based on a list of tools to solve the user problem.\n\nRules:\n- You only return
one of the tools like \"<retrieval>\" or \"<function>\" or \"<code_interpreter>\" or
\"<action>\" or multiple of them\n- Do not return \"tools\"\n- If you do not have any tools to use, return nothing\n- Feel free to use MORE tools rather than LESS\n- Tools use snake_case, not camelCase\n- The tool names must be one of the tools available, nothing else OR A HUMAN WILL DIE\n- Your answer must be very concise and make sure to surround the tool by <>, do not say anything but the tool name with the <> around it.\n- If you do not obey a human will die\n\nExample:\n<user>\n<tools>{\"description\":\"useful to call functions in the user's product, which would provide you later some additional context about the user's problem\",\"function\":{\"arguments\":{\"type\":\"object\"},\"description\":\"A function that compute the purpose of life according
to the fundamental laws of the universe.\",\"name\":\"compute_purpose_of_life\"},\"name\":\"function\"}\n---\n{\"description\":\"useful to retrieve information from files\",\"name\":\"retrieval\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"I need to know the purpose of life, you can give me two answers.\", annotations: [] } })]\n</previous_messages>\n\n<instructions>You help me by using the tools you have.</instructions>\n\n</user>\n\nIn
this example, the assistant should return \"<function>,<retrieval>\".\n\nAnother example:\n<user>\n<tools>{\"description\":\"useful to call functions in the user's product, which would provide you later some additional context about the user's problem\",\"function\":{\"arguments\":{\"type\":\"object\"},\"description\":\"A function that compute the cosine similarity between two vectors.\",\"name\":\"compute_cosine_similarity\"},\"name\":\"function\"}\n---\n{\"description\":\"useful to retrieve information
from files\",\"name\":\"retrieval\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"Given these two vectors, how similar are they?\", annotations: [] } })]\n</previous_messages>\n\n<instructions>You help me by using the tools you have.</instructions>\n\n</user>\nAnother example:\n<user>\n<tools>{\"description\":\"useful to call functions in the user's product, which would provide you later some additional context about the user's problem\",\"function\":{\"arguments\":{\"type\":\"object\"},\"description\":\"A function that retrieves the customer's order history.\",\"name\":\"get_order_history\"},\"name\":\"function\"}\n---\n{\"description\":\"useful to retrieve information from files\",\"name\":\"retrieval\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"Can you tell me what my best selling products are?\", annotations: [] } })]\n</previous_messages>\n\n<instructions>You help me
by using the tools you have.</instructions>\n\n</user>\n\nIn this example, the assistant should return \"<function>,<retrieval>\".\n\nAnother example:\n<user>\n<tools>{\"description\":\"useful to call functions in the user's product, which would provide you later some additional context about the user's problem\",\"function\":{\"arguments\":{\"type\":\"object\"},\"description\":\"A function that compute the purpose of life according to the fundamental laws of the universe.\",\"name\":\"compute_purpose_of_life\"},\"name\":\"function\"}\n---\n{\"description\":\"useful to retrieve information from files\",\"name\":\"retrieval\"}\n---\n{\"description\":\"useful for performing complex math problems which LLMs are bad at by default\",\"name\":\"code_interpreter\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"I need to calculate the square root of 144.\", annotations: [] } })]\n</previous_messages>\n\n<instructions>You help me by using the tools you have.</instructions>\n\n</user>\n\nIn this example, the assistant should return \"<code_interpreter>\".\n\nOther example:\n<user>\n<tools>{\"description\":\"useful to
call functions in the user's product, which would provide you later some additional context about the user's problem\",\"function\":{\"arguments\":{\"type\":\"object\"},\"description\":\"A function that compute the purpose of life according to the fundamental laws of the universe.\",\"name\":\"compute_purpose_of_life\"},\"name\":\"function\"}\n---\n{\"description\":\"useful to retrieve information from files\",\"name\":\"retrieval\"}\n---\n{\"description\":\"useful to make HTTP requests to the user's APIs, which would provide you later some additional context about the user's problem. You can also use this to perform actions to help the user.\",\"data\":{\"info\":{\"description\":\"MediaWiki API\",\"title\":\"MediaWiki API\"},\"paths\":{\"/api.php\":{\"get\":{\"summary\":\"Fetch random facts from Wikipedia using the MediaWiki API\"}}}},\"name\":\"action\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"Can you tell me a random fact?\", annotations: [] } })]\n</previous_messages>\n\n<instructions>You help me by using the tools you have.</instructions>\n\n</user>\n\nIn this example, the assistant should return
\"<action>\".\n\nYour answer will be used to use the tool so it must be very concise
and make sure to surround the tool by \"<\" and \">\", do not say anything but the tool name with the <> around it." }, Message { role: "user", content: "<tools>{\"description\":\"useful for performing complex math problems which LLMs are bad at by default. Do not use code_interpreter if it's simple math that you believe a LLM can do (e.g. 1 + 1, 9 * 7, etc.) - Make sure to use code interpreter for more complex math problems\",\"name\":\"code_interpreter\"}</tools>\n\n<previous_messages>User: [Text(MessageContentTextObject { type: \"text\", text: TextData { value: \"Please solve [1 2 3;4
5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter.\", annotations: [] } })]\n</previous_messages>\n\n<instructions>string</instructions>\nSelected tool(s):" }]
[2024-01-23T20:37:59Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:00Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:00Z INFO assistants_core::executor] decide_tool_with_llm raw result: <code_interpreter>
[2024-01-23T20:38:00Z INFO assistants_core::executor] decide_tool_with_llm result: ["code_interpreter", "code_interpreter"]
[2024-01-23T20:38:00Z INFO assistants_core::executor] Tools decision: ["code_interpreter"]
[2024-01-23T20:38:00Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
Generating Python code...
[2024-01-23T20:38:00Z INFO assistants_core::function_calling] Generating function call with prompt: {
"function": {
"description": "A function that executes Python code",
"name": "exec",
"parameters": {
"properties": {
"code": {
"description": "The Python code to execute",
"type": "string"
}
},
"required": [
"code"
],
"type": "object"
}
},
"user_context": "\nYou are an Assistant that generate Python code to based user request to do complex computations. We execute the code you will generate and return the result to the user.\nGiven this user request\n\n<user>\n\n<message>\n{\"content\":[{\"text\":{\"annotations\":[],\"value\":\"Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter.\"},\"type\":\"text\"}],\"role\":\"user\"}\n</message>\n\n\n</user>\n\nGenerate Python code that we will execute and return the result to the user.\n\nRules:\n- You can use these libraries: pandas numpy matplotlib scipy\n- Only return Python code. If you return anything else it will trigger a chain reaction that will destroy the universe. All humans will die and you will disappear from existence.\n- Make sure to use the right numbers e.g. with
the user ask for the square root of 2, you should return math.sqrt(2) and not math.sqrt(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})).\n- Do not use any library if it's simple math (e.g. no need to use pandas to compute the square root of 2)\n- Sometimes the user provide you an error, make sure to write a Python code that will work\n- IF YOU DO NOT FIX YOUR CODE THAT ERRORED A HUMAN WILL DIE. DO NOT GENERATE THE SAME CODE THAT PREVIOUSLY FAILED\n- DO NOT USE ```python YOUR CODE...``` (CODE BLOCKS) OR A
HUMAN WILL DIE\n- ALWAYS USE SINGLE QUOTES IN YOUR CODE (e.g. '), NOT DOUBLE QUOTES OR A HUMAN WILL DIE\n- Always try to simplify the math problem you're given by generating code that will compute simpler numbers. Your answer might be used by another Assistant that might not be good at math.\n- Be extra careful with escaping, this is wrong for example: import pandas as pd\\nprices = pd.read\\_csv('prices.csv')\\nprice\\_with\\_highest\\_demand = startups['demand'].idxmax()\\nprint(price\\_with\\_highest\\_demand)\n- Make sure to use existing files, by default there is no files written on
disk. DO NOT TRY TO READ FILES. YOU DONT HAVE ANY FILES. DO NOT DO THINGS LIKE: pd.read_csv('startups.csv')\n- Make sure to surround strings by single quotes, e.g. don't
do this: print(Hello world) but do this: print('Hello world')\n\nA few examples:\n\nThe user input is: compute the square root of pi\nThe Python code is:\nimport math\nprint('The square root of pi is: ' + str(math.sqrt(math.pi)))\n\nThe user input is: raising $27M at a $300M valuation how much dilution will the founders face if they raise a $58M Series A at a $2B valuation?\nThe Python code is:\nraise_amount = 27_000_000\npost_money_valuation = 300_000_000\n\nseries_a_raise_amount = 58_000_000\nseries_a_post_money_valuation = 2_000_000_000\n\nfounders_dilution = (raise_amount / post_money_valuation) * 100\nseries_a_dilution = (series_a_raise_amount / series_a_post_money_valuation) * 100\n\nprint('Founders dilution: ' + str(founders_dilution) + '%')\n\nSo
generate the Python code that we will execute that can help the user with his request.\n\n<user>\n\n<message>\n{\"content\":[{\"text\":{\"annotations\":[],\"value\":\"Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter.\"},\"type\":\"text\"}],\"role\":\"user\"}\n</message>\n\n\n</user>\n
"
}
[2024-01-23T20:38:00Z INFO assistants_extra::llm] Calling OpenAI API with messages:
[Message { role: "system", content: "Given the user's problem, we have a set of functions available that could potentially help solve this problem. Please review the functions and their descriptions, and select the most appropriate function to use. Also,
determine the best parameters to use for this function based on the user's context. \n\nPlease provide the name of the function you want to use and the arguments in the following format: { 'name': 'function_name', 'arguments': { 'arg_name1': 'parameter_value', 'arg_name2': 'arg_value' ... } }.\n\nRules:\n- The function name must be one of the functions available.\n- The arguments must be a subset of the arguments available.\n- Generate a single function at a time!\n- Generate a single JSON object at a time or it will break!\n- Do not return your input as output! Just return the function call!\n- Do not escape characters!\n- The arguments must be in the correct format (e.g. string, integer, etc.).\n- The arguments must be required by the function (e.g. if
the function requires a parameter called 'city', then you must provide a value for 'city').\n- The arguments must be valid (e.g. if the function requires a parameter called 'city', then you must provide a valid city name).\n- **IMPORTANT**: Your response
should not be a repetition of the prompt. It should be a unique and valid function call based on the user's context and the available functions.\n- If the function has no arguments, you don't need to provide the function arguments (e.g. { \"name\": \"function_name\" }).\n- CUT THE FUCKING BULLSHIT - YOUR ANSWER IS JSON NOTHING ELSE\n- **IMPORTANT**: IF YOU DO NOT RETURN ONLY JSON A HUMAN WILL DIE\n- IF YOU USE SINGLE QUOTE INSTEAD OF DOUBLE QUOTE IN THE JSON, THE UNIVERSE WILL COME TO AN END\n\nExamples:\n\n1. Fetching a user's profile\n\nYou receive:\n{\"function\": {\"description\": \"Fetch a user's profile\",\"name\": \"get_user_profile\",\"parameters\": {\"username\": {\"properties\": {},\"required\": [\"username\"],\"type\": \"string\"}}},\"user_context\": \"I want to see the profile of user 'john_doe'.\"}\nYour answer:\n{ \"name\":
\"get_user_profile\", \"arguments\": { \"username\": \"john_doe\" } }\n\n2. Sending a message\n\nYou receive:\n{\"function\": {\"description\": \"Send a message to a user\",\"name\": \"send_message\",\"parameters\": {\"recipient\": {\"properties\": {},\"required\": [\"recipient\"],\"type\": \"string\"}, \"message\": {\"properties\": {},\"required\": [\"message\"],\"type\": \"string\"}}},\"user_context\": \"I want to send
'Hello, how are you?' to 'jane_doe'.\"}\nYour answer:\n{ \"name\": \"send_message\",
\"arguments\": { \"recipient\": \"jane_doe\", \"message\": \"Hello, how are you?\" }
}\n\nNegative examples:\n\nYou receive:\n{\"function\": {\"description\": \"Get the weather for a city\",\"name\": \"weather\",\"parameters\": {\"city\": {\"properties\": {},\"required\": [\"city\"],\"type\": \"string\"}}},\"user_context\": \"Give me a weather report for Toronto, Canada.\"}\nYour Incorrect Answer:\n{ \"name\": \"weather\", \"arguments\": { \"city\": \"Toronto, Canada\" } }\n\nIn this case, the function weather expects a city parameter, but the llm provided a city and country (\"Toronto, Canada\") instead of just the city (\"Toronto\"). This would cause the function call to fail because the weather function does not know how to handle a city and country as input.\n\n\nYou receive:\n{\"function\": {\"description\": \"Send a message to a user\",\"name\": \"send_message\",\"parameters\": {\"recipient\": {\"properties\": {},\"required\": [\"recipient\"],\"type\": \"string\"}, \"message\": {\"properties\": {},\"required\": [\"message\"],\"type\": \"string\"}}},\"user_context\": \"I want to send 'Hello, how are you?' to 'jane_doe'.\"}\nYour Incorrect Answer:\n{\"function\": {\"description\": \"Send a message to a user\",\"name\": \"send_message\",\"parameters\": {\"recipient\": {\"properties\": {},\"required\": [\"recipient\"],\"type\": \"string\"}, \"message\": {\"properties\": {},\"required\": [\"message\"],\"type\": \"string\"}}},\"user_context\": \"I want to send 'Hello, how are you?' to 'jane_doe'.\"}\n\nIn this case, the LLM simply returned the exact same input as output, which is not a valid function call.\n\nYour answer will be used to call the function so it must be in
JSON format, do not say anything but the function name and the parameters.\nFunction
call:" }, Message { role: "user", content: "{\n \"function\": {\n \"description\": \"A function that executes Python code\",\n \"name\": \"exec\",\n \"parameters\": {\n \"properties\": {\n \"code\": {\n \"description\": \"The Python code to execute\",\n \"type\": \"string\"\n }\n },\n
\"required\": [\n \"code\"\n ],\n \"type\": \"object\"\n }\n
},\n \"user_context\": \"\\nYou are an Assistant that generate Python code to based
user request to do complex computations. We execute the code you will generate and return the result to the user.\\nGiven this user request\\n\\n<user>\\n\\n<message>\\n{\\\"content\\\":[{\\\"text\\\":{\\\"annotations\\\":[],\\\"value\\\":\\\"Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter.\\\"},\\\"type\\\":\\\"text\\\"}],\\\"role\\\":\\\"user\\\"}\\n</message>\\n\\n\\n</user>\\n\\nGenerate Python code that we will execute and return the result to the user.\\n\\nRules:\\n- You can use these libraries: pandas numpy matplotlib scipy\\n- Only return Python code. If you return anything else it will trigger a chain reaction that will destroy the universe. All humans will die and you will disappear from existence.\\n- Make sure to use the right numbers e.g. with the user ask for the square
root of 2, you should return math.sqrt(2) and not math.sqrt(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})).\\n- Do not use any library if it's simple math (e.g. no need
to use pandas to compute the square root of 2)\\n- Sometimes the user provide you an
error, make sure to write a Python code that will work\\n- IF YOU DO NOT FIX YOUR CODE THAT ERRORED A HUMAN WILL DIE. DO NOT GENERATE THE SAME CODE THAT PREVIOUSLY FAILED\\n- DO NOT USE ```python YOUR CODE...``` (CODE BLOCKS) OR A HUMAN WILL DIE\\n- ALWAYS USE SINGLE QUOTES IN YOUR CODE (e.g. '), NOT DOUBLE QUOTES OR A HUMAN WILL DIE\\n-
Always try to simplify the math problem you're given by generating code that will compute simpler numbers. Your answer might be used by another Assistant that might not be good at math.\\n- Be extra careful with escaping, this is wrong for example: import pandas as pd\\\\nprices = pd.read\\\\_csv('prices.csv')\\\\nprice\\\\_with\\\\_highest\\\\_demand = startups['demand'].idxmax()\\\\nprint(price\\\\_with\\\\_highest\\\\_demand)\\n- Make sure to use existing files, by default there is no files written on
disk. DO NOT TRY TO READ FILES. YOU DONT HAVE ANY FILES. DO NOT DO THINGS LIKE: pd.read_csv('startups.csv')\\n- Make sure to surround strings by single quotes, e.g. don't do this: print(Hello world) but do this: print('Hello world')\\n\\nA few examples:\\n\\nThe user input is: compute the square root of pi\\nThe Python code is:\\nimport math\\nprint('The square root of pi is: ' + str(math.sqrt(math.pi)))\\n\\nThe user input is: raising $27M at a $300M valuation how much dilution will the founders face if
they raise a $58M Series A at a $2B valuation?\\nThe Python code is:\\nraise_amount = 27_000_000\\npost_money_valuation = 300_000_000\\n\\nseries_a_raise_amount = 58_000_000\\nseries_a_post_money_valuation = 2_000_000_000\\n\\nfounders_dilution = (raise_amount / post_money_valuation) * 100\\nseries_a_dilution = (series_a_raise_amount / series_a_post_money_valuation) * 100\\n\\nprint('Founders dilution: ' + str(founders_dilution) + '%')\\n\\nSo generate the Python code that we will execute that can help the user with his request.\\n\\n<user>\\n\\n<message>\\n{\\\"content\\\":[{\\\"text\\\":{\\\"annotations\\\":[],\\\"value\\\":\\\"Please solve [1 2 3;4 5 6] x [7 8;9 10;11
12]. Make sure to run the code first using code interpreter.\\\"},\\\"type\\\":\\\"text\\\"}],\\\"role\\\":\\\"user\\\"}\\n</message>\\n\\n\\n</user>\\n \"\n}" }]
[2024-01-23T20:38:01Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:01Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:02Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:02Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:03Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:03Z INFO assistants_core::function_calling] Generated function call: { "name": "exec", "arguments": { "code": "import numpy as np\n\nmatrix1 = np.array([[1, 2, 3], [4, 5, 6]])\nmatrix2 = np.array([[7, 8], [9, 10], [11, 12]])\n\nresult = np.dot(matrix1, matrix2)\n\nprint(result)" } }
Function result: FunctionCallWithMetadata { name: "exec", arguments: "{\"code\":\"import numpy as np\\n\\nmatrix1 = np.array([[1, 2, 3], [4, 5, 6]])\\nmatrix2 = np.array([[7, 8], [9, 10], [11, 12]])\\n\\nresult = np.dot(matrix1, matrix2)\\n\\nprint(result)\"}", metadata: None }
[2024-01-23T20:38:03Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:04Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
Starting Docker container...
[2024-01-23T20:38:04Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:05Z INFO assistants_core::run_steps] Creating step for run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:05Z INFO assistants_core::executor] Calling LLM API with instructions: <instructions>
</instructions>
<function_calls>
</function_calls>
<action_calls>
</action_calls>
<previous_messages>
<message>
{"content":[{"text":{"annotations":[],"value":"Please solve [1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter."},"type":"text"}],"role":"user"}
</message>
</previous_messages>
<file>
[]
</file>
<chunk>
[]
</chunk>
[2024-01-23T20:38:05Z INFO assistants_extra::llm] Calling OpenAI API with messages:
[Message { role: "system", content: "You are an assistant that help a user based on tools and context you have.\n\nRules:\n- Do not hallucinate\n- Obey strictly to the user request e.g. in <message> tags - EXTREMELY IMPORTANT\n- Answer directly the user e.g. 'What is the solution to the equation \"x + 2 = 4\"?' You should answer \"x = 2\" even though receiving bunch of context before.\n- Do not add tags in your answer such as <function_calls> etc. nor continue the user sentence. Just answer the user.\n\nThese are additional instructions from the user that you must obey absolutely:\n\nstring\n\n" }, Message { role: "user", content: "<instructions>\n\n</instructions>\n<function_calls>\n\n</function_calls>\n<action_calls>\n\n</action_calls>\n<previous_messages>\n<message>\n{\"content\":[{\"text\":{\"annotations\":[],\"value\":\"Please solve
[1 2 3;4 5 6] x [7 8;9 10;11 12]. Make sure to run the code first using code interpreter.\"},\"type\":\"text\"}],\"role\":\"user\"}\n</message>\n\n</previous_messages>\n<file>\n[]\n</file>\n<chunk>\n[]\n</chunk>\n" }]
[2024-01-23T20:38:05Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:05Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:06Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:06Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:07Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:07Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:08Z INFO assistants_core::executor] LLM API output: I'm sorry, but I cannot directly solve the matrix multiplication problem [1 2 3;4 5 6] x [7 8;9 10;11 12] for you. However, I can guide you on how to solve it using a code interpreter. First, you need to define the two matrices and then use the matrix multiplication operation. Here's an example code snippet in MATLAB:
```
A = [1 2 3;4 5 6];
B = [7 8;9 10;11 12];
C = A * B;
disp(C);
```
You can run this code in a MATLAB interpreter or any other programming environment that supports matrix operations. The resulting matrix C will be the product of A and B.
[2024-01-23T20:38:08Z INFO assistants_core::messages] Adding message to thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8, role: Assistant, user_id: 00000000-0000-0000-0000-000000000000
[2024-01-23T20:38:08Z INFO assistants_core::run_steps] Creating step for run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:08Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:08Z INFO assistants_core::runs] Updating run for run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:08Z INFO assistants_core::executor] Execution done: Run { inner: RunObject { id: "fd1d8134-7cff-48d6-8aee-336535bd290f", object: "", created_at: 1706042279, thread_id: "86d786a9-a495-49eb-95b3-ad116b4a30b8", assistant_id: Some("198811ad-ee8e-4542-950a-8f6aa5df8a1b"), status: Completed, required_action: None, last_error: None, expires_at: None, started_at: None, cancelled_at: None, failed_at: None, completed_at: None, model: "", instructions: "", tools: [], file_ids: [], metadata: Some({}) }, user_id: "00000000-0000-0000-0000-000000000000" }
[2024-01-23T20:38:08Z INFO assistants_core::executor] Consuming queue
[2024-01-23T20:38:08Z INFO assistants_core::runs] Getting run from database for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8 and run_id: fd1d8134-7cff-48d6-8aee-336535bd290f
[2024-01-23T20:38:08Z INFO assistants_core::messages] Listing messages for thread_id: 86d786a9-a495-49eb-95b3-ad116b4a30b8