Report approximate task progress to the Assistant while generating

Background

llm2 is a Nextcloud External App (ExApp) that runs a local language model and answers AI requests -summarize, free prompt, reformulate, etc. - through Nextcloud's Task Processing framework: a user triggers an action, Nextcloud creates a task, llm2 picks it up, runs the model, and returns the result

Task Processing supports a progress value (0–100%) that a provider can report while it works, and the Assistant renders it as a progress bar. llm2 never reports it, so while the model generates the user sees no real progress - for a long summary the app can look frozen

Proposed change

Make llm2 report an approximate progress while it processes a task, so the Assistant's progress bar advances instead of staying at 0 until the result is suddenly ready. Reporting progress for at least one task type is a good starting point.

"Approximate" is deliberate: a language model generates text token by token and has no inherent notion of percent-complete, so a reasonable estimate — with its limitations understood - is what we are after.

Pointers

• llm2's task handling - its main loop and the per-task processors - lives in this repo.
• The library llm2 uses to talk to Nextcloud is
  nc_py_api; look at how a provider reports task
  results, and what else a provider can report back while a task runs.
• Nextcloud's developer documentation has a Task Processing section worth reading.
• Under the hood the model runs via llama.cpp (through llama-cpp-python / LangChain); text
  generation is where any real progress signal would come from.

Read llm2's task-handling main loop and per-task processors first, then inspect nc_py_api's task-result reporting and other in-progress provider updates. Check Nextcloud's Task Processing documentation and the llama.cpp generation path; done means at least one task type reports a reasonable approximate progress value that the Assistant renders while generation is ongoing.