* removed hyphen in co-workers
* Fix issue with AgentTool agent selection. The LLM included double quotes in the agent name which messed up the string comparison. Added additional types. Cleaned up error messaging.
* Remove duplicate import
* Improve explanation
* Revert poetry.lock changes
* Fix missing line in poetry.lock
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Co-authored-by: madmag77 <goncharov.artemv@gmail.com>
* added extra parameter for kickoff to return token usage count after result
* added output_token_usage to class and in full_output
* logger duplicated
* added more types
* added usage_metrics to full output instead
* added more to the description on full_output
* possible mispacing
* updated kickoff return types to be either string or dict applicable when full_output is set
* removed duplicates
* updates instructor to the latest version. adds jsonref, which instructor seems to depend on.
* updates embedchain reference, necessary for python 3.12
* added extra parameter for kickoff to return token usage count after result
* added output_token_usage to class and in full_output
* logger duplicated
* added more types
* added usage_metrics to full output instead
* added more to the description on full_output
* possible mispacing
* fix: 'from datetime import datetime for logging' to print the timestamp
* fix: correct default model (gpt-4o), correct token counts, and correct TaskOutput attributes (added agent)
* test: verify Task callback data is an instance of TaskOutput
* Sync with deep copy working now
* async working!!
* Clean up code for review
* Fix naming
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Co-authored-by: João Moura <joaomdmoura@gmail.com>
* Added timestamp to logger
Updated the logger.py file to include timestamps when logging output. For example:
[2024-05-20 15:32:48][DEBUG]: == Working Agent: Researcher
[2024-05-20 15:32:48][INFO]: == Starting Task: Research the topic
[2024-05-20 15:33:22][DEBUG]: == [Researcher] Task output:
* Update tool_usage.py
* Revert "Update tool_usage.py"
This reverts commit 95d18d5b6f.
incorrect bramch for this commit
Changed default model value from gpt-4 to gpt-4o.
Reasoning.
gpt-4 costs 30$ per million tokens while gpt-4o costs 5$.
This is more cost friendly for default option.
