* 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: Record LLM token metrics via Prometheus
Wire up the existing token metrics infrastructure to actually record
token usage from LLM calls. The MetricsCollector already had
record_tokens() method and Prometheus counters (hindsight.tokens.input,
hindsight.tokens.output), but they were never being populated.
Changes:
- Import get_metrics_collector in llm_wrapper.py
- Call record_tokens() after successful LLM calls for:
- OpenAI/Groq (using response.usage.prompt_tokens, completion_tokens)
- Anthropic (using response.usage.input_tokens, output_tokens)
- Gemini (using response.usage_metadata.prompt_token_count, candidates_token_count)
- Add test file to verify token metrics are recorded
Note: Ollama's native API doesn't return token usage, so metrics
are not recorded for that provider.
The token metrics will now be available via /metrics endpoint:
- hindsight_tokens_input_total
- hindsight_tokens_output_total
* feat: add per-request token usage tracking to retain and reflect endpoints
- Add TokenUsage model with input_tokens, output_tokens, total_tokens
- Return usage metrics in retain response (sync operations only)
- Return usage metrics in reflect response
- Update Python, TypeScript, and Rust clients
- Add API documentation for usage fields
- Add changelog entry
* Fix main-methods.py: entities is a dict, use .items() and .canonical_name
* Migrate docs to use CodeSnippet components
- Convert quickstart.md, retain.md, recall.md, reflect.md, memory-banks.md to .mdx
- Use CodeSnippet to pull code from validated example scripts
- Add missing 'name' parameter to create_bank calls
- Fix main-methods.py entities iteration (dict not list)
- Remove retain-new.mdx demo file
* Migrate existing docs to match testing pattern with code snippet and add CLI tests to the CI
* Fix doc-id issue + add main-method tests
* CLI fixes
* Update openAPI json
* Fix rust build issues
* increase sleep time for Hindsight to process the document
* Added a polling sleep instead of fixed
* Delete immediately fails, so create the doc a earlier in the test to get the doc ready
* Add debug logs
* Remove debug logs
2025-12-19 12:17:59 -07:00
Renamed from hindsight-docs/docs/developer/api/retain.md (Browse further)
