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Code - start using pydantic, begin with LLM Settings

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dgtlmoon
2026-05-24 12:58:18 +02:00
parent 73d2c0a16c
commit 043eecc7ef
14 changed files with 258 additions and 156 deletions
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changedetectionio/processors/text_json_diff/difference.py
+4 -2
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@@ -217,8 +217,10 @@ def render(watch, datastore, request, url_for, render_template, flash, redirect,
llm_summary_prompt = _prompt
# Must match the cache_prompt the worker writes and the UI ajax route reads —
# using UI default diff prefs so the initial render finds the worker's pre-cache.
_max_summary_tokens = datastore.data['settings']['application'].get('llm_max_summary_tokens', 3000)
_llm_model = (datastore.data['settings']['application'].get('llm') or {}).get('model', '')
from changedetectionio.llm.evaluator import get_llm_settings
_ls = get_llm_settings(datastore)
_max_summary_tokens = _ls.max_summary_tokens
_llm_model = _ls.model
_cache_prompt = build_summary_cache_prompt(
effective_prompt=_prompt,
max_summary_tokens=_max_summary_tokens,