* feat: filter graph memories with tags
* fix(cli): pass new q/tags/tags_match args to get_graph
* docs: use CodeSnippet for tags_match examples in recall.mdx
* fix: handle observations regeneration when memories get deleted
* feat: add clear_memory_observations endpoint and regenerate clients
- Add DELETE /banks/{id}/memories/{memory_id}/observations endpoint
- Add observations lifecycle/invalidation section to docs
- Regenerate OpenAPI spec and all clients (Python, TypeScript, Go, Rust)
* refactor: use dedicated response model for clear_memory_observations, remove code example from docs
* feat: include source facts in observation recall
* feat: include source facts in observation recall
* feat: include source facts in observation recall
* feat: include source facts in observation recall
* fix(cli): add missing source_facts field to IncludeOptions initializer
* feat: accept pdf, images and office files
* refactor: rename FileConverter to FileParser, simplify file retain API
- Rename engine/converters/ → engine/parsers/, FileConverter → FileParser,
ConverterRegistry → FileParserRegistry, MarkitdownConverter → MarkitdownParser
- Rename env var HINDSIGHT_API_FILE_CONVERTER → HINDSIGHT_API_FILE_PARSER
- Remove async/document_tags params from FileRetainRequest (always async now)
- Add retain_files() to Python Hindsight client and retainFiles() to TypeScript client
- Add sample.pdf to doc examples for working file upload demonstrations
- Update test_file_retain.py to use new parser names and always-async behavior
- Fix Go client missing os import in api_files.go
- Simplify postgresql.py storage to minimal schema
* fix: update rust CLI tests to use is_supported_file instead of is_text_file
* fix: patch Go api_files.go to add missing 'os' import after generation
* fix: insert 'os' import after 'net/url' in api_files.go patch for correct position
* chore: regenerate OpenAPI spec and clients (converter→parser description update)
* feat: support Batch API for retain (openai/groq)
* api
* stop batch api if sync
* fix(ui): improve toast notifications with brand colors and proper styling
- Replace all window.alert() calls with toast notifications
- Add interceptor-based error handling in API client
- Use different toast styles based on HTTP status codes (4xx = warning, 5xx = error)
- Apply Hindsight brand colors to toasts (primary blue for info, destructive red for errors, etc.)
- Remove obsolete error handling files (hindsight-client-with-toast.ts, api-error-handler.ts)
- Fix toast background conflicts by removing base bg-background class
* fix: restore retain_batch_tokens config that was accidentally removed during rebase
* fix: improve async batch retain with large payloads
* fix: improve async batch retain with large payloads
* api
* api
* api
* api
* api
* Clean up perf benchmark: keep only Python files
- Remove README.md and PERFORMANCE_FINDINGS.md
- Remove results/ JSON files (gitignored)
- Remove test_data/ directory
- Keep only __init__.py and retain_perf.py
* docs: explain automatic batch optimization for async retain
- Add section explaining Hindsight automatically handles batch sizing
- Users don't need to manually tune batch sizes with async mode
- Hindsight splits large batches (>10k tokens) into optimized sub-batches
- Include example showing best practices
* docs: remove emojis and code example from performance page
* fix: correct OperationDetails type to match API response
- Change optional fields to use | null instead of ?
- Fixes TypeScript compilation error in control plane build
* fix: use discriminated union for OperationDetails type
- Support both success and error states properly
- Fixes TypeScript error when setting error state
* fix: use unique document_ids in batch retain examples
- Each item in a batch must have unique document_id
- Update both Python and JavaScript examples
- Fixes test-doc-examples CI failure
* chore: trigger CI
* fix: test mocking and duplicate document_ids in examples
- Mock _get_pool() in test_async_retain_tags.py to avoid _initialized error
- Set _initialized = True on mocked MemoryEngine instances
- Fix duplicate document_ids in retain.py and retain.mjs examples
* fix: properly mock async pool/connection and fix more duplicate document_ids
- Use AsyncMock for pool.acquire() to fix 'can't be used in await' error
- Fix duplicate document_ids in retain-async examples (retain.py and retain.mjs)
- Remove batch-level document_id parameter that caused duplicates
* ci: collect all doc example failures and show summary
- Run all Python/Node.js/CLI examples regardless of individual failures
- Collect failure list and display summary at the end
- Show pass/fail count and list of failed files
- Exit with failure only after running all examples
* refactor: extract doc example testing to standalone script
- Create scripts/test-doc-examples.sh to run all examples
- Collects logs of failed examples separately
- Shows full error logs only for failures at the end
- Clean summary with pass/fail counts
- Proper exit codes
- Replaces inline bash in CI workflow
* fix: doc examples - duplicate document_ids and error handling
- retain.py: move document_id to item level to avoid duplicates
- documents.mjs: add error handling for getDocument to show clear error message
* fix: update tests for duplicate document_id validation
- test_async_retain_tags: verify operation structure instead of exact UUID
- test_delete_bank: use unique document_ids (team-doc-1, team-doc-2)
* feat: implement hierarchical configuration (system, tenant, bank)
* feat: implement hierarchical configuration (system, tenant, bank)
* docs: add instructions for hierarchical config in CLAUDE.md
* feat: add ENABLE_BANK_CONFIG_API flag (disabled by default)
- Add HINDSIGHT_API_ENABLE_BANK_CONFIG_API env var (default: false)
- Return 403 Forbidden from bank config endpoints when disabled
- Update tests to enable the flag
- Update CLAUDE.md documentation
This provides security control over the bank configuration API,
ensuring it's only accessible when explicitly enabled.
* docs: add hierarchical configuration section
* feat(cli): add bank config commands (config, set-config, reset-config)
- Add 'hindsight bank config' to view bank configuration
- Add 'hindsight bank set-config' to update LLM settings per bank
- Add 'hindsight bank reset-config' to reset to defaults
- Implements client API calls to new bank config endpoints
* fix(cli): fix compilation errors in bank config commands
- Fix type signature: use ApiClient instead of api::Client
- Fix confirmation: use ui::prompt_confirmation instead of ui::confirm
- Fix error handling: use anyhow! macro instead of errors::Error
- Fix type conversion: convert HashMap to serde_json::Map for API call
* feat: implement type-safe hierarchical config with bank overrides
Implements a production-ready hierarchical configuration system that prevents
accidentally using global defaults when bank-specific overrides exist.
- Created StaticConfigProxy that wraps HindsightConfig
- get_config() now returns proxy that blocks access to bank-configurable fields
- Raises ConfigFieldAccessError with clear message when accessing configurable fields
- Added _get_raw_config() for internal use only
- Forces developers to use resolve_full_config(bank_id, context) for bank settings
- Added resolve_full_config() method that returns complete HindsightConfig
- Resolves hierarchy: Global (env) → Tenant → Bank
- No caching to support multi-server deployments (always fresh from DB)
- LLM provider pooling handles expensive operations separately
- Updated entire retain pipeline to pass resolved config through call chain
- memory_engine.py: Resolves config at top level where bank_id/context available
- orchestrator.py: Accepts and passes config to fact_extraction
- fact_extraction.py: Uses passed config instead of get_config()
- utils.py: Added optional config param for backward compatibility
- consolidator.py: Uses resolve_full_config() for enable_observations check
- memory_engine.py: Resolves config before triggering consolidation
- Renamed "Memory Bank" to "Bank Configuration" with tabs
- Combined Stats and Operations into "General" tab
- Consolidated Profile and Configuration into "Configuration" tab
- Moved Actions dropdown to page level (outside tabs)
- Created new component for managing bank-specific config
- Displays configurable fields: retain_chunk_size, retain_extraction_mode, etc.
- Edit via dialog with form validation
- Reset to defaults via AlertDialog confirmation
- Shows field IDs in monospace for clarity
- Visual separation with borders and hover effects
- Removed inline edit mode, switched to dialog-based editing
- Separate dialogs for Disposition and Mission editing
- Read-only display with clear edit buttons
- Removed duplicate stats cards and operations
- bank-stats-view.tsx: Overview statistics (memories, links, documents, pending ops)
- bank-operations-view.tsx: Background operations table with filtering
**Problem**: Consolidation always used global enable_observations, ignoring bank overrides
**Root Cause**: consolidator.py called get_config() instead of resolving bank-specific config
**Solution**: Pass resolved config through the entire pipeline
**Problem**: asyncpg returning JSONB as JSON string instead of parsed dict
**Solution**: Explicit JSON parsing in config_resolver.py with type checking
- All 19 API integration tests pass
- All 10 hierarchical config tests pass
- Retain operations work correctly with bank-specific config
- Consolidation respects bank-specific enable_observations setting
- Updated developer/configuration.md with type-safe config access pattern
- Added examples showing correct usage patterns
- Documented ConfigFieldAccessError and resolution methods
- get_config() now returns StaticConfigProxy (blocks configurable field access)
- Code accessing bank-configurable fields must use resolve_full_config()
- Clear migration path with helpful error messages
Fixes hierarchical configuration to be production-ready with proper type safety.
* refactor: remove LLM client pool and simplify config resolver
Since LLM config (provider, model, api_key) is now static and not
bank-configurable, the LLMClientPool is no longer needed.
Changes:
- Remove hindsight_api/llm_client_pool.py (no longer needed)
- Remove memory_engine._get_bank_llm_config() (dead code, never called)
- Simplify config_resolver.py by eliminating duplication between
resolve_full_config() and get_bank_config()
- get_bank_config() now calls resolve_full_config() and filters results
- Remove outdated "LLM provider pooling" comments from docstrings
All tests pass (10 hierarchical config tests, 19 API integration tests)
* fix: update tests to use _get_raw_config() for configurable fields
Fixed test fixtures that were accessing configurable fields (like
enable_observations) from get_config(), which now raises
ConfigFieldAccessError due to type-safe config access.
Changes:
- test_consolidation.py: Changed enable_observations fixture to use
_get_raw_config() instead of get_config()
- test_consolidation.py: Updated test_consolidation_returns_disabled_status
to set bank config instead of mocking get_config()
- test_link_expansion_retrieval.py: Changed fixture to use _get_raw_config()
- test_observations.py: Changed disable_observations fixture to use
_get_raw_config()
- Regenerated OpenAPI spec and clients
All 39 previously failing tests now pass.
* fix: add missing config parameter to test calls of extract_facts_from_text()
Fixed 45 test failures where tests were calling extract_facts_from_text()
without the new required config parameter.
Changes:
- Added config=_get_raw_config() to all extract_facts_from_text() calls
- Fixed test_main_module.py to patch _get_raw_config instead of get_config
- Updated 6 test files with 37 function call sites
All tests should now pass.
* fix: add missing config parameter to test_skip_podcast_meta_commentary
One more test was missing the config parameter for extract_facts_from_text().
* fix: tagged directives should be applied to tagged mental models
* test: add unit test for based_on structure
Verify that reflect returns the correct based_on structure with:
- directives as dicts (id, name, content) in based_on.directives
- mental models as MemoryFact objects in based_on.mental-models
- memories separated properly
This ensures directives and mental models are not mixed together
in the API response.
* feat: ai sdk integration
* more fixes
* fix(security): mental model refresh tag-based security
- Mental model refresh now passes tags with all_strict matching
- Consolidation only triggers refresh for mental models with matching tags
- Consolidation filters related observations by tags (all_strict)
- Added tests to verify tag-based security boundaries
- Updated OpenAPI spec to include tags and text_preview in list_documents
- Added tags column to documents UI table
* chore: regenerate OpenAPI spec after rebase
* fix: improve consolidation prompt for contradiction handling and mental model refresh security
- Enhanced consolidation prompt to be more explicit about capturing temporal changes in contradictions
- Fixed mental model refresh security: tagged memories now only trigger refresh of mental models with matching tags
- Added stricter tag filtering to prevent cross-scope mental model refreshes
Fixes test_consolidation_merges_contradictions by improving LLM instructions to use temporal markers like "used to X, now Y" when merging contradictory facts.
Note: test_refresh_with_tags_only_accesses_same_tagged_models still needs investigation - REFLECT operation may need additional tag filtering.
* fix: mental model refresh security - proper tag filtering in search
Fixed tool_search_mental_models to properly handle all_strict tag matching mode by using the centralized build_tags_where_clause function. Previously, the function only handled "all" vs "any" modes and always included untagged mental models when using non-"all" modes.
This ensures that when a tagged mental model is refreshed with all_strict matching, it cannot access untagged mental models, preventing cross-scope information leakage.
Fixes test_refresh_with_tags_only_accesses_same_tagged_models.
Note: test_sensory_dimension_preservation is failing but this is a pre-existing issue on main branch - the LLM model (gpt-oss-20b) is not extracting facts from sensory text. Not related to security changes.
* chore: apply formatting from pre-commit hook
* fix: allow untagged mental models to be refreshed by any consolidation
Untagged mental models are considered "global" and should be refreshed
by any consolidation, regardless of whether tagged or untagged memories
were consolidated. This maintains security boundaries while allowing
global mental models to stay fresh.
When tagged memories are consolidated:
- Refresh mental models with matching tags (security boundary)
- Also refresh untagged mental models (they're global)
- DO NOT refresh mental models with different tags
When untagged memories are consolidated:
- Only refresh untagged mental models
- DO NOT refresh tagged mental models (security boundary)
Fixes test_consolidation_only_refreshes_matching_tagged_models.
* feat: improve mental models ux on control plane
* feat: improve mental models ux on control plane
* gen
* feat(cli): add --id flag to mental model create command
* fix(cli): revert unused variable underscore prefix that breaks compilation
The underscore prefix on stdout/stderr variables was added to suppress
warnings, but these variables are actually used in assert messages,
causing compilation errors. Reverting to original names.
* chore: remove dead code
* chore: remove extract_opinions from test and regenerate openapi
- Remove extract_opinions parameter from test_fact_extraction_analysis
- Regenerate OpenAPI spec after removing entity observations code
* chore: update generated files and apply formatting
- Regenerate Python and TypeScript client SDKs after main merge
- Apply ruff formatting to llm_wrapper.py
* fix: accept and filter deprecated 'opinion' fact type in recall
The dead code removal eliminated support for the 'opinion' fact type,
but existing clients may still pass it. Instead of rejecting it with
a ValueError, silently filter it out before validation to maintain
backward compatibility.
The control plane proxy routes never sent an Authorization header to
the dataplane API. With the tenant extension active, all GUI requests
failed with "Invalid API key".
Add HINDSIGHT_CP_DATAPLANE_API_KEY env var support to hindsight-client.ts
and propagate auth headers to both SDK clients and all direct fetch routes.
When the backend graph API returns an error, the SDK sets response.data
to undefined. NextResponse.json(undefined) throws "Value is not JSON
serializable". Check for error/missing data before serializing.
* fix: misc fixes for observations and mental models
* feat: improve graph retrieval for observations
- Update LinkExpansionRetriever to traverse through source_memory_ids
for observation entity connections (avoiding data duplication)
- Remove entity link copy from world facts to observations in consolidator
- Add tests for link expansion graph retrieval
- Add directives_applied field to ReflectResult
- Include user's other changes (CLI, docs, client updates)
* fix: CI test failures
- Add mental_model_id parameter to create_mental_model function
- Fix ToolCallTrace not including reason field from ToolCall
- Improve test_link_expansion_observation_graph_retrieval to wait for consolidation with retry
* chore: reduce link expansion log verbosity
* Revert "chore: reduce link expansion log verbosity"
This reverts commit 3ce759391cead1012157785fa78fef16ef9bfe3b.
* feat: add semantic/temporal/entity links as fallback in graph retrieval
- Add fallback query for semantic, temporal, and entity links from memory_links
- Check both directions (outgoing and incoming links)
- Weight fallback results at 0.5x to prioritize entity links via unit_entities
- Fixes graph retrieval returning 0 when data has cross-cluster temporal connections
* fix: enable observations fixture for link expansion test
- Add enable_observations fixture to ensure observations are created
- Increase wait time from 10 to 30 seconds for CI reliability
* chore: run benchmarks with reflect mode
* chore: run benchmarks with reflect mode
* fixes
* new mm
* bunch of fixes
* initial commit
* fixes
* fixes
* fixes
* fix: sometimes memories gets extracted in the wrong language
* expose the delete API
* add deleteBank
* Add a button and confirmation dialog to delete a memory bank
* commit lint changes
* add CI test for delete bank
* revert alembic lint changes due to version differences
* revert alembic lint changes
* fix the delete bank test
* account for ruff lint third party alembic
* Improve graph visualization on the UI
* Fix double animation when loading the graph visualization
* Fix typescript issues
* CI test changes for temporal scenarios
* Fix typescript errors
* Fix animation issue on opinions and experiences
* Added hindsight_liteLLM implementation
* Add instructions for entity vs bank id
* Add another line about entity
* Address PR review comments and enhance litellm integration
- Remove deprecated limit parameter from recall() and arecall() functions
since Hindsight uses budget/max_tokens for result control
- Remove dead MODEL_MAX_OUTPUT_TOKENS dict and max_output_tokens property
from LLMProvider (superseded by hardcoded max_completion_tokens)
- Add test-litellm-integration job to CI workflow
- Add reflect API support with use_reflect config option
- Add verbose mode debug info via get_last_injection_debug()
- Add entity_id support for multi-user memory isolation
- Add retain() and reflect() wrapper functions
- Update docstrings and examples
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Make max_memories optional to allow unlimited memory injection
- Change max_memories default from 10 to None (no limit)
- When max_memories is None, all results from the API are used
- Fix recall result handling to properly detect list vs object return
- Update wrappers (OpenAI, Anthropic) with same optional behavior
This allows users to control memory limits via max_memory_tokens
and recall_budget without an artificial count limit.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Remove entity_id from hindsight_litellm; add gpt-4o token cap
Multi-user support now uses separate bank_ids per user instead of
entity_id scoping (e.g., bank_id=f"user-{user_id}"). This simplifies
the API and aligns with the Hindsight architecture.
Also fixes max_completion_tokens error for gpt-4o models by capping
the value at 16384 (gpt-4o's limit) instead of sending the default
65000 which exceeds the model's supported maximum.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Fix dark mode styling across Control Plane UI components
Improvements to ensure proper text visibility and contrast in both light
and dark modes:
- Add global CSS rules for datetime-local calendar picker icon visibility
using filter: invert() for both light (0.5) and dark (1) modes
- Fix text colors in dialog components to use theme-aware foreground colors
- Update memory detail panel, document/chunk modals, and data views to use
proper dark mode text classes (text-foreground, text-card-foreground)
- Fix form labels, headings, and content text in bank selector dialogs
- Update entities view and documents view table styling for dark mode
- Bump package versions to 0.1.4
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Remove session_id feature and add How It Works section to README
- Remove session_id and session management (new_session, set_session,
get_session) from config.py, callbacks.py, and __init__.py
- Session management was a client-only abstraction not backed by core API
- Add "How It Works" section to README with visual flow diagram
- Update README to remove session management documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Fix readme example
* Add dark mode again
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* Improve LongMemEval benchmark with structured prompts and better options
- Add --context-format option with 'json' (original) and 'structured' modes
- Structured format groups facts with source chunks for better LLM comprehension
- Add detailed instructions for date calculations, relative time handling, and abstention
- Add --source-results flag to read failed questions from a different file
- Allow --category to be combined with --max-instances for sampling
- Fix Gemini structured output by passing response_schema parameter
- Add retry logic for empty Gemini responses with block reason logging
- Add judge prompt comparison documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix recall in benchmarks
* Improve LongMemEval prompt and Gemini error handling
- Add JSONDecodeError retry for Gemini truncated responses
- Increase max_tokens to 32768 for thinking models
- Add counting/disambiguation guidance to structured prompt
- Add "when in doubt, undercount" and overlap detection rules
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Add connection error retry and preference question guidance
- Add APIConnectionError retry for OpenAI client (server disconnects)
- Add recommendation/preference question guidance to structured prompt
- Instruct model to build on user's existing tools/experiences
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Make reasoning optional
* Seed for LLM through Groq
* fix entity and observations
* Increase graph retrieval neighbor limit for expanded entities
Doubled the neighbor limit multiplier from 10 to 20 in graph retrieval.
With expanded entity extraction (now including objects and concepts like
"kitchen"), facts share more common entities, causing the previous limit
to arbitrarily exclude relevant results. This fix ensures better recall
for questions about related items (e.g., kitchen items).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Expand entity extraction to include objects and concepts
Updated entity extraction prompt to include:
- Specific objects (coffee maker, toaster, car, laptop, kitchen)
- Abstract concepts/themes (friendship, career growth, loss, celebration)
- Places and organizations (IKEA, Goodwill, New York)
This enables better fact linking through shared entities. For example,
kitchen appliances now share a "kitchen" entity, allowing graph traversal
to find related facts like "replaced coffee maker" when querying about
"kitchen items".
Works in conjunction with the increased neighbor limit to improve recall.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Chris Bartholomew <chris.bartholomew@vectorize.io>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: andrew <andrew.neeser@me.com>
