Comments (1)
Implemented in pr #107 -- instead of using a separate validator agent, the tool-handling method returns a clearly formatted error message so that the LLM knows its use of TOOL "x" has specific issues it needs to address, e.g. missing arguments etc.
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Related Issues (20)
- ModuleNotFoundError: No module named 'langroid.agent'; 'langroid' is not a package HOT 10
- load faster... HOT 21
- Add `tests/extras` to gh actions workflows HOT 1
- Cannot run example with local LLM, e.g. Mistral HOT 5
- Pydantic import Basemodel throws import error in examples HOT 2
- Retrieval updates
- Trouble getting DependencyChatbot example working HOT 2
- Find good workaround for limitations in `pandas.eval()` HOT 1
- `ImagePdfParser` module causes Langroid import error HOT 3
- structure-aware chunking of code and markdown HOT 3
- openai.AuthenticationError - OpenAI API key needed to access DocChatAgent using Ollama? HOT 2
- DocChatAgent ingest_docs: add window_ids after chunk creation HOT 2
- How do I use langroid to call a public API? HOT 3
- Can I use the Business LLM Model API in langroid? HOT 1
- Skipping USER when using a tool HOT 6
- 'langroid' is not a package HOT 6
- Error : each t must be a type. Got <module 'PIL.Image' HOT 2
- Need to fix -- Langroid import error in Colab notebook, with Python 3.10 HOT 2
- Update to latest DuckDuckGo search HOT 1
- Add pgvector vectorstore
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