- Add `_BaseOpenAIProvider`, `BaseOpenAIChatProvider`, and `BaseOpenAIEmbeddingProvider`, which implement the shared functionality of OpenAI-like providers, e.g. `GroqProvider` and `OpenAIProvider` - (Re)move as much code as possible from `GroqProvider` and `OpenAIProvider` by rebasing them on `BaseOpenAI(Chat|Embedding)Provider` Also: - Rename `get_available_models()` to `get_available_chat_models()` on `BaseChatModelProvider` - Add `get_available_models()` to `BaseModelProvider` - Add `get_available_embedding_models()` to `BaseEmbeddingModelProvider` - Move common `fix_failed_parse_tries` config attribute into base `ModelProviderConfiguration` |
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.. | ||
agbenchmark_config | ||
forge | ||
tutorials | ||
.env.example | ||
.flake8 | ||
.gitignore | ||
Dockerfile | ||
README.md | ||
poetry.lock | ||
pyproject.toml | ||
run | ||
run_benchmark | ||
setup |
README.md
🚀 AutoGPT-Forge: Build Your Own AutoGPT Agent! 🧠
🌌 Dive into the Universe of AutoGPT Creation! 🌌
Ever dreamt of becoming the genius behind an AI agent? Dive into the Forge, where you become the creator!
🛠️ Why AutoGPT-Forge?
- 💤 No More Boilerplate! Don't let the mundane tasks stop you. Fork and build without the headache of starting from scratch!
- 🧠 Brain-centric Development! All the tools you need so you can spend 100% of your time on what matters - crafting the brain of your AI!
- 🛠️ Tooling ecosystem! We work with the best in class tools to bring you the best experience possible!
🚀 Get Started!
The getting started tutorial series will guide you through the process of setting up your project all the way through to building a generalist agent.