data-formulator
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🪄 Create rich visualizations with AI
May I ask what my model name should be filled in when I use the local Olama to build qwen2.5-coder: 32b
Dear Sir: LiteLLM completion() model= deepseek-coder-v2:16b; provider = ollama 2025-02-18 17:29:13,281 - LiteLLM - INFO - LiteLLM completion() model= deepseek-coder-v2:16b; provider = ollama 2025-02-18 17:29:26,456 - httpx - INFO -...
- Add Dockerfile for containerization - Add docker-compose.yml for easy deployment - Add docker-entrypoint.sh for container initialization - Add configuration templates and documentation - Support API key configuration through environment...
I want to connect to deepseek-v3 supported by Tencent Cloud I refer to this https://cloud.tencent.com/document/product/1772/115969 and this https://docs.litellm.ai/docs/providers/openai_compatible  How do I configure this model connection? I can already connect...
Add the possibility to include a database of known RDBMS (Relational Database Management Systems) and allow the creation of datasets to be made available to end users for the creation...
Hi, is there any local Ollama model that can work with this? I tried many of them, and none produced a working query—they always give me an error. However, when...
Docker support for Data Formulator would be fantastic for simplifying deployment and testing. Will send a PR for this. :)
I have add a new agent to handling joining table and also a new api route to call. Changes: * New agent_table_join.py * Add a new function to sandbox to...
Load file issue has been fixed, Load import is still no working.
Bumps [vega](https://github.com/vega/vega) from 5.23.0 to 5.26.0. Release notes Sourced from vega's releases. v5.26.0 Changes from v5.25.0: vega-functions Add geoScale expression function. (thanks @binste) vega-scale Fix tickMinStep calculation. (thanks @kanitw) vega-scenegraph...