* Removed legacy storage management cruft. Tidied tech specs.
* Fix deletion of last collection
* Storage processor ignores data on the queue which is for a deleted collection
* Updated tests
* Tweak object store parameters to be more generic for other S3-type store integration
* Update librarian to have region & SSL params
* Update MinIO migration tech spec
* Plugin architecture for messaging fabric
* Schemas use a technology neutral expression
* Schemas strictness has uncovered some incorrect schema use which is fixed
* Tech spec
* Address multi-tenant queue option problems in CLI
* Modified collection service to use config
* Changed storage management to use the config service definition
* Tech spec
* Python CLI utilities updated to use the API including streaming features
* Added type safety to Python API
* Completed missing auth token support in CLI
* Updates for agent API with streaming support
* Added tg-dump-queues tool to dump Pulsar queues to a log
* Updated tg-invoke-agent, incremental output
* Queue dumper CLI - might be useful for debug
* Updating for tests
* Tidy up duplicate tech specs in doc directory
* Streaming LLM text-completion service tech spec.
* text-completion and prompt interfaces
* streaming change applied to all LLMs, so far tested with VertexAI
* Skip Pinecone unit tests, upstream module issue is affecting things, tests are passing again
* Added agent streaming, not working and has broken tests
* Remove some 'unnecessary' parameters from OpenAI invocation. The OpenAI
API is getting complicated with the API and SDK changing on OpenAI's end,
but this not getting mapped through to other services which are 'compatible'
with OpenAI.
* Update OpenAI test for this change
* Trying running tests with Python 3.13
* Onto-rag tech spec
* New processor kg-extract-ontology, use 'ontology' objects from config to guide triple extraction
* Also entity contexts
* Integrate with ontology extractor from workbench
This is first phase, the extraction is tested and working, also GraphRAG with the extracted knowledge works
* Fixed hard-coded embeddings store size
* Vector store lazy-creates collections, different collections for
different dimension lengths.
* Added tech spec for vector store lifecycle
* Fixed some tests for the new spec
