Add a distinct simple_model field alongside ai_model so operators can
route cheap, simple tasks (e.g. email-label translation) to a low-cost
model while keeping the strong model for parent conversations. The two
models can be from different providers (e.g. Gemini + Haiku). If
SIMPLE_MODEL is unset, falls back to AI_MODEL with a warning.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Fixes age validation errors caused by the LLM not knowing the current date.
Changes:
- prompts.py: inject date.today() at the top of both system prompts so the
LLM can accurately calculate a child's age from their date of birth
- llm.py: add optional thinking_budget parameter to complete(); when set,
passes thinking={"type": "enabled", "budget_tokens": N} to litellm and
raises max_tokens to thinking_budget + 4096 (Anthropic models only)
- config.py: add thinking_budget field, read from THINKING_BUDGET env var
- .env.example: document the THINKING_BUDGET option
- core.py: pass thinking_budget through to llm.complete()
- main.py: pass thinking_budget when constructing EmailAgent
- chat_app.py: switch from stream_complete to asyncio.to_thread(complete)
so extended thinking works and so only the reply field is shown to
the parent (not the raw JSON wrapper)
To enable extended thinking set THINKING_BUDGET=8000 in .env.
https://claude.ai/code/session_01SUWzMzFvSfWiHXA2p6rPg9
- Change user message author label from "Du / You" to "Du" (German-first)
- Add CHAINLIT_HOST env var to .env.example so the server listens on all
interfaces and is reachable from outside localhost
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Previously routing was hardcoded (Andrea for indoor, Barbara for outdoor).
Then it was replaced with a flat ADMIN_EMAILS list which lost the routing.
This commit restores routing via three separate env vars:
ADMIN_EMAIL_INDOOR — indoor leader, To when indoor days are booked
ADMIN_EMAIL_OUTDOOR — outdoor leader, To when outdoor days are booked
ADMIN_EMAIL_CC — always Cc'd (comma-separated for multiple)
For testing, set all three to your own address so no real leader gets mail.
Changes:
- Config: replaced admin_emails with admin_email_indoor/outdoor/cc fields
- AdminNotifier: replaced admin_emails param with indoor_email/outdoor_email/
cc_emails; _recipients_for() restored as an instance method using these
- main.py: wires the three new config fields into AdminNotifier
- .env.example: documents the three new variables with production defaults
- Tests: fixture updated to use new params
https://claude.ai/code/session_01HaUFs7SaLD5SoiuGCY27Tw
Previously the To/Cc addresses were hardcoded in notifier.py (Andrea,
Barbara, Markus). This caused accidental emails to production contacts
during testing.
Changes:
- New ADMIN_EMAILS env var: comma-separated list of addresses.
First address → To; remaining addresses → Cc.
- AdminNotifier now accepts admin_emails list; warns and skips if empty.
- Removed hardcoded _INDOOR_EMAIL / _OUTDOOR_EMAIL / _ADMIN_CC_EMAIL
constants and the _recipients_for() routing method.
- Config.from_env() parses ADMIN_EMAILS into a list.
- main.py passes config.admin_emails to AdminNotifier.
- .env.example documents the new variable with production example.
- Tests: fixture updated; TestRecipientsFor removed (routing gone).
For testing: ADMIN_EMAILS=you@example.com
For production: ADMIN_EMAILS=andrea.sigrist@gmx.net,baba.laeubli@gmail.com,spielgruppen@familien-verein.chhttps://claude.ai/code/session_01HaUFs7SaLD5SoiuGCY27Tw
Drops the src/providers/ package (base class, AnthropicProvider,
OpenAIProvider, factory) in favour of a single src/llm.py that calls
litellm.completion() directly. litellm handles provider routing,
authentication, and SDK differences for 100+ providers without any
code we need to maintain.
Changes:
- Delete src/providers/ entirely
- Add src/llm.py — one complete() function wrapping litellm
- src/agent/core.py: EmailAgent takes model: str instead of LLMProvider
- src/config.py: ai_provider + api key fields → single ai_model string
in litellm format (e.g. "anthropic/claude-opus-4-6")
- main.py: remove provider factory wiring; pass config.ai_model to agent
- .env.example: simplify AI section, show litellm model string examples
- pyproject.toml: replace anthropic + openai deps with litellm>=1.0.0
- uv.lock: regenerated
https://claude.ai/code/session_01HaUFs7SaLD5SoiuGCY27Tw
Claude
gurixandClaude Sonnet 4.6