* config.py: make load_dotenv(override=True)
* Update Python version and benchmark file in benchmark.yml
* Refactor main function and imports in cli.py
* Update import statement in ai_config.py
* Add set_temperature and set_memory_backend methods in config.py
* Remove unused import in prompt.py
* Add goal oriented tasks workflow
* Added agent_utils to create agent
* added pytest and vcrpy
* added write file cassette
* created goal oriented task write file with cassettes to not pay openai tokens
* solve conflicts
* add ability set azure because github workflow needs it off
* solve conflicts in cli.py
* black because linter fails
* solve conflict
* setup github action to v3
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* fix conflicts
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* Plugins: debug line always printed in plugin load
* add test for fix_json_using_multiple_techniques
* style
* style
* mocking try_ai_fix to avoid call_ai_function
* black style
* mock try_ai_fix to avoid calling the AI model
* removed mock, as we can add @requires_api_key("OPEN_API_KEY")
* style
* reverse merge conflict related files and changes
* bring back the mock for try_ai_fix
---------
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
Co-authored-by: Merwane Hamadi <merwanehamadi@gmail.com>
Co-authored-by: Merwane Hamadi <merwane.hamadi@redica.com>
Co-authored-by: Richard Beales <rich@richbeales.net>
Co-authored-by: Nicholas Tindle <nick@ntindle.com>
Co-authored-by: BillSchumacher <34168009+BillSchumacher@users.noreply.github.com>
* Implemented running cost counter for chat completions
This data is known to the AI as additional system context, and is printed out to the user
* Added comments to api_manager.py
* Added user-defined API budget.
The user is now prompted if they want to give the AI a budget for API calls. If they enter nothing, there is no monetary limit, but if they define a budget then the AI will be told to shut down gracefully once it has come within 1 cent of its limit, and to shut down immediately once it has exceeded its limit. If a budget is defined, Auto-GPT is always aware of how much it was given and how much remains to be spent.
* Chat completion calls are now done through api_manager. Total running cost is printed.
* Implemented api budget setting and tracking
User can now configure a maximum api budget, and the AI is aware of that and its remaining budget. The AI is instructed to shut down when exceeding the budget.
* Update autogpt/api_manager.py
Change "per token" to "per 1000 tokens" in a comment on the api cost
Co-authored-by: Rob Luke <code@robertluke.net>
* Fixed lint errors
* Include embedding costs
* Add embedding completion cost
* lint
* Added 'requires_api_key' decorator to test_commands.py, switched to a valid chat completions model
* Refactor API manager, add debug mode, and add tests
- Extract model costs to to avoid duplication
- Add debug mode parameter to ApiManager class
- Move debug mode configuration to
- Log AI response and budget messages in debug mode
- Implement 'test_api_manager.py'
* Fixed test_setup failing. An extra user input is needed for api budget
* Linting
---------
Co-authored-by: Rob Luke <code@robertluke.net>
Co-authored-by: Nicholas Tindle <nick@ntindle.com>
* Add workspace abstraction
* Remove old workspace implementation
* Extract path resolution to a helper function
* Add api key requirements to new tests
* Add automatic ai prompting
* Tweak the default prompt.
* Print agent info upon creation.
* Improve system prompt
* Switch to fast_llm_model by default
* Add format output command to user prompt.
This vastly improves formatting success rate.
* Add fallback to manual mode if llm output cannot be parsed (or other error).
* Add unit test to cover ai creation setup.
* Replace redundent prompt with manual mode instructions.
* Add missing docstrings and typing.
* Runs black on changes.
* Runs isort
* Update Python version and benchmark file in benchmark.yml
* Refactor main function and imports in cli.py
* Update import statement in ai_config.py
* Add set_temperature and set_memory_backend methods in config.py
* Remove unused import in prompt.py
* Add goal oriented tasks workflow
* Added agent_utils to create agent
* added pytest and vcrpy
* added write file cassette
* created goal oriented task write file with cassettes to not pay openai tokens
* solve conflicts
* add ability set azure because github workflow needs it off
* solve conflicts in cli.py
* black because linter fails
* solve conflict
* setup github action to v3
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* fix conflicts
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* Plugins: debug line always printed in plugin load
* add decorator to tests
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* move decorator higher up
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
* merge
---------
Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
Co-authored-by: Merwane Hamadi <merwanehamadi@gmail.com>
Co-authored-by: Merwane Hamadi <merwane.hamadi@redica.com>
Co-authored-by: Richard Beales <rich@richbeales.net>
Co-authored-by: Nicholas Tindle <nick@ntindle.com>
Co-authored-by: BillSchumacher <34168009+BillSchumacher@users.noreply.github.com>
Eddie Cohen
coditamar
Vwing
James Collins
Richard Beales
Toran Bruce Richards
riensen
Omri Grossman
Steve
riensen
BillSchumacher
Evgeny Vakhteev
bingokon
Merwane Hamadi
0xArty
Itamar Friedman
Gershon Bialer
Dino Hensen
Drikus Roor