71 Commits

Author SHA1 Message Date
perf3ct
e1e1eb4f51
feat(unit): add unit tests around LLM model names within outgoing requests 2025-06-10 16:27:05 +00:00
perf3ct
e96fdbf72f
fix(llm): fix logging type check 2025-06-09 00:23:02 +00:00
perf3ct
f5ad5b875e
fix(tests): resolve LLM streaming unit test failures
closer to fixing...

closer...

very close to passing...
2025-06-08 23:02:15 +00:00
perf3ct
daa32e4355
Revert "fix(unit): comment out this test for now to see if the rest pass"
This reverts commit 95a33ba3c0bd1b01c7f6f716b42864174f186698.
2025-06-08 22:02:56 +00:00
perf3ct
95a33ba3c0
fix(unit): comment out this test for now to see if the rest pass 2025-06-08 21:54:19 +00:00
perf3ct
b28387bada
feat(llm): decrease the throttle on the chunking tests lol 2025-06-08 21:47:53 +00:00
perf3ct
93cf868dcf
feat(llm): last test should be passing now 2025-06-08 21:38:57 +00:00
perf3ct
224cae6db2
fix(unit): resolve type errors 2025-06-08 21:03:07 +00:00
perf3ct
d60e795421
feat(llm): still working on fixing tests... 2025-06-08 20:39:35 +00:00
perf3ct
c6f2124e9d
feat(llm): add tests for streaming 2025-06-08 20:30:33 +00:00
perf3ct
c1bcb73337
feat(llm): also improve the llm streaming service, to make it cooperate with unit tests better 2025-06-08 18:40:20 +00:00
perf3ct
40cad2e886
fix(unit): I believe it should pass now? 2025-06-08 18:20:30 +00:00
perf3ct
a8faf5d699
fix(unit): still working on getting the LLM unit tests to pass... 2025-06-08 18:13:27 +00:00
perf3ct
e011c56715
fix(unit): no more type errors hopefully 2025-06-08 16:33:26 +00:00
Jon Fuller
d7abd3a8ed
Merge branch 'develop' into feat/llm-unit-tests 2025-06-08 08:49:08 -07:00
perf3ct
c6062f453a
fix(llm): changing providers works now 2025-06-07 23:57:35 +00:00
perf3ct
414781936b
fix(llm): always fetch the user's selected model 2025-06-07 23:36:53 +00:00
perf3ct
7f9ad04b57
feat(llm): create unit tests for LLM services 2025-06-07 21:03:54 +00:00
perf3ct
ff37050470
fix(llm): delete provider_manager for embeddings too 2025-06-07 19:33:19 +00:00
perf3ct
b0d804da08
fix(llm): remove the vectorSearch stage from the pipeline 2025-06-07 18:57:08 +00:00
perf3ct
4550c12c6e
feat(llm): remove everything to do with embeddings, part 3 2025-06-07 18:30:46 +00:00
perf3ct
44a45780b7
feat(llm): remove everything to do with embeddings 2025-06-07 18:11:12 +00:00
perf3ct
cb3844e627
fix(llm): fix duplicated text when streaming responses 2025-06-07 00:27:56 +00:00
perf3ct
6bc9b3c184
feat(llm): resolve sending double headers in responses, and not being able to send requests to ollama 2025-06-07 00:02:26 +00:00
perf3ct
20ec294774
feat(llm): still work on decomplicating provider creation 2025-06-06 20:30:24 +00:00
perf3ct
8f33f37de3
feat(llm): for sure overcomplicate what should be a very simple thing 2025-06-06 20:11:33 +00:00
perf3ct
85cfc8fbd4
feat(llm): have OpenAI provider not require API keys (for endpoints like LM Studio) 2025-06-06 19:22:39 +00:00
perf3ct
c26b74495c
feat(llm): remove LLM deprecated functions 2025-06-05 22:34:20 +00:00
perf3ct
3a4bb47cc1
feat(llm): embeddings work and are created when launching for the first ever time 2025-06-05 21:03:15 +00:00
perf3ct
bb8a374ab8
feat(llm): transition from initializing LLM providers, to creating them on demand 2025-06-05 19:27:45 +00:00
perf3ct
c1b10d70b8
feat(llm): also add functions to clear/unregister embedding providers 2025-06-05 18:59:32 +00:00
perf3ct
49e123f399
feat(llm): create endpoints for starting/stopping embeddings 2025-06-05 18:47:25 +00:00
perf3ct
fe15a0378a
fix(llm): have the model_selection_stage use the instance of the aiServiceManager 2025-06-04 20:23:06 +00:00
perf3ct
a20e36f4ee
feat(llm): change from using precedence list to using a sing specified provider for either chat and/or embeddings 2025-06-04 20:13:13 +00:00
perf3ct
b76166b0d5
fix(llm): always fetch the embedding model 2025-06-03 05:13:32 +00:00
perf3ct
d4d55b20a8
fix(llm): get rid of a lot of log.info() statements that were spammy 2025-06-03 03:00:15 +00:00
perf3ct
ab3758c9b3
refactor(llm): resolve issue with headers being sent after request was sent 2025-06-02 23:54:38 +00:00
perf3ct
e7e04b7ccd
refactor(llm): streamline chat response handling by simplifying content accumulation and removing unnecessary thinking content processing 2025-06-02 23:25:15 +00:00
perf3ct
7b498cf384
refactor(llm): update chat saving logic to prevent race conditions between client and server 2025-06-02 22:30:59 +00:00
perf3ct
ed64a5b4f7
refactor(llm): simplify chat handling by removing session store and directly integrating chat storage service 2025-06-02 22:09:59 +00:00
perf3ct
d8d5318ace
refactor(llm): remove deprecated validateEmbeddingProviders method and update session handling in chat services 2025-06-02 21:55:52 +00:00
perf3ct
3a55735cd5
refactor(llm): implement new configuration methods for provider order and validation, enhancing error handling and deprecating legacy functions 2025-06-02 21:49:35 +00:00
perf3ct
5a5a69ebb8
refactor(llm): streamline model selection by utilizing the new configuration system and enhance error handling 2025-06-02 21:44:43 +00:00
perf3ct
ce7c4a31a1
refactor(llm): enhance configuration handling to avoid default assumptions and improve error handling 2025-06-02 21:43:36 +00:00
perf3ct
45175b6af3
refactor(llm): integrate new configuration system for provider management and model selection 2025-06-02 21:36:19 +00:00
perf3ct
dcab4caee3
feat(llm): redo chat storage, part 3 2025-06-02 15:12:08 +00:00
perf3ct
f6af617f6b
feat(llm): redo chat storage, part 2 2025-06-02 02:38:21 +00:00
perf3ct
35f78aede9
feat(llm): redo chat storage, part 1 2025-06-02 00:56:19 +00:00
perf3ct
3fae664877
feat(llm): add utils for excluding notes from LLM 2025-06-01 02:51:36 +00:00
perf3ct
a7906d6b99
refactor(llm): improve search tools error handling and parameter validation with clearer guidance 2025-05-30 00:23:18 +00:00