- Create llm_client.py with 5 provider implementations (Anthropic, OpenAI, Ollama, OpenRouter, Google)
- Add build_prompt() helper to construct system/user prompts from templates
- Wire up POST /transcribe/sessions/{id}/summaries endpoint to call LLM client
- Return generated content + token counts (input_tokens, output_tokens)
- API keys passed per-request, never stored or logged
- Uses prompt templates from prompts.py based on summary_type
- Query Neo4j for Academic/Registration periods where now() is between start_time and end_time
- Return period_id, event_type, event_label, start_time, end_time
- Handles missing teacher or Neo4j connection gracefully
- Fixed signature mismatch where enrollment_requests router was passing
filters parameter to get_multi() but method didn't accept it
- get_multi() now accepts optional filters dict and passes it to get_all()
