Adds `_fetch_page_content()`, which downloads a URL with a
browser-like User-Agent and uses BeautifulSoup with the lxml
parser to strip scripts, navigation, and other non-content
markup, returning up to 3000 characters of readable text.
The response validator now also compares generated replies
against this scraped text, flagging named entities and claims
that do not appear in the retrieved page content.
Dependencies: adds beautifulsoup4==4.12.3 and pins lxml==5.3.0
for parser compatibility.
Adds a post-generation validation step that checks whether a
search-grounded reply is actually supported by the retrieved
results: it extracts cited URLs from the response and flags
replies that claim to have searched without citing any of the
provided sources, as well as replies containing specific
numbers or dates absent from the results.
Also switches the default model to xiaomi/mimo-v2.6-flash and
documents the anti-hallucination behavior in the README.
Voice notes were always recognized with a hardcoded English locale,
which broke transcription for non-English speakers. The handler now
maps the profile's `preferred_language` to a BCP-47 code and passes it
to the Google recognizer, falling back to `pt-BR`.
Also neutralizes the persona prompt so it follows the selected
language instead of forcing Brazilian Portuguese and a fixed gender,
and resets the default `preferred_language` to `pt`.
Introduce a language selection command backed by a supported-language
table and per-language response instructions. The chosen code is stored
as `preferred_language` in the user profile and injected into the system
prompt so replies follow the selected language, with an `auto` option
for detection.
Also refreshes the agent and user profile timestamps and appends the
latest conversation context entries.
Extend the /help message so users can discover the full user manual
with examples and tips via /manual, and view system information,
version, author, and license via /about.
Also includes the generated conversation context snapshot for
2026-10-26 and the recompiled agent bytecode.
Add a voice message handler that downloads OGG audio, converts it to
WAV via pydub/ffmpeg, and transcribes it with Google Speech Recognition
(pt-BR) before feeding the text into the normal message pipeline.
Also extract shared text processing into process_text_message, guard
against updates without a text attribute, switch the default AI provider
to openrouter with deepseek-v4-flash, and document the ffmpeg system
requirement in DEPLOY.md.
Initial project setup including the main agent script, configuration
files, profile JSON state, systemd service unit, startup script,
deployment documentation, and Python dependencies.
Includes .env, venv/, and __pycache__/ which should likely be
excluded via .gitignore to avoid committing secrets and artifacts.
marcocosta10000