computer.browser.search is dead

cfortune commented 5 months ago

Describe the bug

all web searches freeze indefinately

Reproduce

any web search

Expected behavior

returns search results

Screenshots

No response

Open Interpreter version

0.2.4

Python version

3.11.5

Operating System name and version

Windows 10

Additional context

started suddenly sometime in the last two days or so. It was working fine before that.

cfortune commented 5 months ago

Verbose output ` {'role': 'assistant', 'content': 'Sure, could you please tell me what specifically you would like me to search for?'}, {'role': 'user', 'content': 'web search frogs of the sahara'}] Token Counter - using OpenAI token counter, for model=gpt-4

LiteLLM: Utils - Counting tokens for OpenAI model=gpt-4 Token Counter - using OpenAI token counter, for model=gpt-4 LiteLLM: Utils - Counting tokens for OpenAI model=gpt-4 Logging Details LiteLLM-Success Call streaming complete Looking up model=gpt-4 in model_cost_map Success: model=gpt-4 in model_cost_map prompt_tokens=750; completion_tokens=27 Returned custom cost for model=gpt-4 - prompt_tokens_cost_usd_dollar: 0.0225, completion_tokens_cost_usd_dollar: 0.0016200000000000001 final cost: 0.02412; prompt_tokens_cost_usd_dollar: 0.0225; completion_tokens_cost_usd_dollar: 0.0016200000000000001

` .... It hangs here, indefinitely ....

6rz6 commented 5 months ago

I have reconstructed the system message on my side to not use the computer and run CLI and python code only upon a specific request such as browse, in that case the intruction is to write code using python such as beautiful soap and scraping. all the tests i didn with the computer on 7b param open source LLMs are failing due to poor system message sysntax. i will share my system msg after i get a confirmation on the submitted llama.cpp merge approval to main. hint, change your system prompt and remove the 'execute' leave the computer as an imaginary idea not a py class. tell the op-in to output 3 then CLI and 2 \n then your input on py code to perform the task and then another \n and 3 this will construct the place holder tor passing any $CLIcommand or $pycode_request and the LLM will understand and not get errors. filnal output of the execute markdown instructions: CLI\n\n $your_input_if_its_CLI_Pycode \n and everything works smooth and without errors. even some 1.8b llm are able to function when the system msg is clear. who wants to send sms's and call john lol....its a computer not a phone...yet.