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🤖 More Pydantic AI tool calling and seeing a huge gap between commercial and local open source models. Meh 
#research
🤖 Spent my evening watching football and playing with Pydantic AI + Ollama. It's great but local tool calling is still meh with OSS models. #research
🚜 worked on a new open source project that makes django work from the command line via django instead django-admin #research
🤖 Updated some scripts to use Ollama's latest structured output with Llama 3.3 (latest) and fell back to Llama 3.2. I drop from >1 minute with 3.3 down to 2 to 7 seconds per request with 3.2. I can't see a difference in the results. For small projects 3.2 is the better path. #research
🤖 Tried out Llama 3.3 and the latest Ollama client for what feels like flawless local tool calling. #research
🤖 I realized I didn't need to chain multiple tool calls together for my Calendar Agent to work. I can have my create check and then stop overthinking it. #research
🤖 I hit a wall where my Calendar Agent only tries to create new events on March 28th, 2024 #research
🤖 my CalendarAgent can now read and write to my calendar. I haven't quite figured out how to make it smart enough to know when to look for what's already on my calendar. i was hoping tool calling would work a little better. #research
🤖 🗓 Wrote some code to connect to my Calendars and now I'm teaching an LLM to read and write to it #research
worked up a slightly different engine for my files-to-claud-xml project to make the internal data structure easier to build other tools with. #research