Extend format_facts_for_prompt() to include occurred_end and mentioned_at
temporal fields (when non-null), matching the MemoryFact model. Also add
RecallResponse.to_prompt_string() to Python and TypeScript client SDKs so
users can serialize recall results (with chunks and entity summaries) into
LLM-ready prompt strings.
Closes#924
* docs(python-client): improve pydoc strings for async-first usage and low-level API access
- Class docstring now clearly documents async-first pattern: a* methods
preferred, sync wrappers for scripts/REPLs only
- Every sync method docstring points to its async counterpart
- Every async method docstring says "preferred"
- Expose 10 low-level API properties (documents, entities, operations,
webhooks, monitoring, etc.) so agents/users can discover the full API
surface without guessing at _-prefixed internals
- Add missing API parameters: tag_groups (recall/reflect), fact_types,
exclude_mental_models, exclude_mental_model_ids (reflect),
observation_scopes/strategy (retain items), background (create_bank)
- Fix areflect missing include_facts param that sync reflect already had
- Sync recall/reflect now delegate to async counterparts (no logic duplication)
* style(retain): format long function call arguments one-per-line
