Commit Graph
6 Commits
Author SHA1 Message Date
Claude 1bd11e6acd feat: inject today's date into system prompt and add extended thinking support
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
2026-02-22 19:57:32 +00:00
gurixandClaude Sonnet 4.6 13cb35111d fix(chat): simplify user label to German; expose host via env var
- 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>
2026-02-22 20:45:33 +01:00
Claude db97a357c9 Restore per-leader routing with configurable email addresses
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
2026-02-21 21:31:49 +00:00
Claude 7fb1d1fa0f Make admin notification recipients configurable via ADMIN_EMAILS
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.ch

https://claude.ai/code/session_01HaUFs7SaLD5SoiuGCY27Tw
2026-02-21 21:23:51 +00:00
Claude 431847a8b7 Replace custom provider abstraction with litellm
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
2026-02-21 07:35:37 +00:00
Claude b82ff27efd Implement Python email agent with multi-model AI support
Adds a complete email-based registration agent for Spielgruppe Pumuckl
based on the OpenSpec define-project-scope specifications.

Architecture
- Channel-agnostic EmailAgent core — no email-specific code in business logic
- Pluggable AI provider layer: Anthropic (Claude) and OpenAI (GPT) supported
  via a shared LLMProvider interface; switch with AI_PROVIDER env var
- IMAP polling for inbound emails with thread-tracking via email headers
  (Message-ID / In-Reply-To / References)
- SMTP for outbound replies and admin notifications
- File-based JSON storage for conversation state and completed registrations
- Admin-editable knowledge-base loaded from markdown files at startup

Key files
  src/config.py                  — env-var configuration
  src/providers/base.py          — abstract LLMProvider
  src/providers/anthropic_provider.py — Claude backend
  src/providers/openai_provider.py    — OpenAI backend
  src/agent/core.py              — EmailAgent orchestrator
  src/agent/prompts.py           — system prompt builder (KB + registration state)
  src/models/registration.py     — RegistrationData matching the JSON schema
  src/models/conversation.py     — ConversationState persisted per thread
  src/channels/email_channel.py  — IMAP/SMTP I/O + quoted-text stripping
  src/storage/json_store.py      — conversation & registration persistence
  src/notifications/notifier.py  — admin notification routing by playgroup type
  main.py                        — polling entry point
  requirements.txt               — anthropic, openai, python-dotenv, jsonschema
  .env.example                   — configuration template

https://claude.ai/code/session_01HaUFs7SaLD5SoiuGCY27Tw
2026-02-20 20:17:00 +00:00