AutoGPT: use config and LLM provider from core
#5286
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* Make .schema model names less pedantic * Rename LanguageModel* objects to ChatModel* or CompletionModel* where appropriate * Add `JSONSchema` utility class in `core.utils` * Use `JSONSchema` instead of untyped dicts for `Ability` and `CompletionModelFunction` parameter specification * Add token counting methods to `ModelProvider` interface and implementations
…core`; * Removed `autogpt.llm.base` and `autogpt.llm.utils` * `core` does things async, so `Agent.think()` and `Agent.execute()` are now also async * Renamed `dump()` and `parse()` on `JSONSchema` to `to_dict()` and `from_dict()` * Removed `MessageHistory` * Also, some typo's and linting fixes here and there
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This PR exceeds the recommended size of 500 lines. Please make sure you are NOT addressing multiple issues with one PR. |
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This PR exceeds the recommended size of 500 lines. Please make sure you are NOT addressing multiple issues with one PR. |
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This PR exceeds the recommended size of 500 lines. Please make sure you are NOT addressing multiple issues with one PR. |
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This PR exceeds the recommended size of 500 lines. Please make sure you are NOT addressing multiple issues with one PR. |
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Background
autogpt.coreChanges 🏗️
autogpt.corecore.promptingmodule out ofcore.planningmodel_providerstyping and tooling.schemamodel names less pedanticLanguageModel*objects toChatModel*orCompletionModel*where appropriateJSONSchemautility class incore.utilsJSONSchemainstead of untyped dicts forAbilityandCompletionModelFunctionparameter specificationModelProviderinterface and implementationsautogptMessageHistoryautogpt.llm.*with LLM infrastructure ofautogpt.coreautogpt.llm.baseandautogpt.llm.utilscoredoes things async, soAgent.think()andAgent.execute()are now also asyncConfigby.core.configurationPR Quality Scorecard ✨
Have you used the PR description template?
+2 ptsIs your pull request atomic, focusing on a single change?
+5 ptsYes atomic, like a bomb (thanks @BillSchumacher)
Have you linked the GitHub issue(s) that this PR addresses?
+5 ptsHave you documented your changes clearly and comprehensively?
+5 ptsHave you changed or added a feature?
-4 pts+4 pts+5 ptsHave you changed the behavior of Auto-GPT?
-5 ptsagbenchmarkto verify that these changes do not regress performance?+10 pts