Xingyao Wang 0380070e98
Abstraction that allows us to develop different agents, frontend, backend, and evaluation in parallel (#68)
* move agent to langchains_agent

* remove old .env

* remove the old agent folder

* add preliminary version of Agent abstraction

* add preliminary version of the main.py

* merge controlloop and main into a Agent class

* add init

* fix json import

* fix missing arg

* get langchains_agent working after abstraction

* rename `research` to `agenthub`

* rename: rename research to agenthub

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Co-authored-by: huybery <huybery@gmail.com>
2024-03-20 15:09:29 -04:00

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Working in directory: /workspace
STEP 0
run {'command': 'ls'}
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output {'output': 'hello_world.sh\n'}
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STEP 1
read {'path': 'hello_world.sh'}
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output {'output': '#!/bin/bash\necho "hello world"'}
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STEP 2
think {'thought': "The script currently prints 'hello world'. To achieve the goal, I need to modify the script to accept an argument and use it to print the user's name. If no argument is provided, it should default to 'world'. I'll need to use bash parameter expansion to achieve this. I should now write the modified script."}
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None
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STEP 3
write {'path': 'hello_world.sh', 'contents': '#!/bin/bash\nname=${1:-world}\necho "hello $name"'}
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output {'output': ''}
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STEP 4
run {'command': './hello_world.sh Alice'}
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output {'output': 'hello Alice\n'}
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STEP 5
think {'thought': "I've modified the script successfully to meet the requirements. I should now confirm that it behaves correctly when no arguments are provided, defaulting to 'world'. This will ensure the task is fully complete."}
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None
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STEP 6
run {'command': './hello_world.sh'}
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output {'output': 'hello world\n'}
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STEP 7
Done!