ac0bcfdae0
feat(logs): route to view the logs for each image
2025-04-19 14:03:18 +01:00
64f8aa032e
ffix
2025-04-14 10:40:02 +01:00
2e092e5fe4
more prompt
2025-04-14 10:36:21 +01:00
1d0eb8ddaa
horrible
2025-04-14 10:30:21 +01:00
ba940ae6fd
debnug
2025-04-14 09:50:03 +01:00
6e96eb53b4
feat: registering users if their email is not known
2025-04-13 22:29:25 +01:00
0fcdd73a47
feat(sse): very rough events. Not used in the client yet
...
feat(sse): very rough events. Not used in the client yet
2025-04-13 14:27:59 +01:00
c02ccfd274
feat: contacts working
2025-04-11 20:31:51 +01:00
283265c8c5
feat: checking user authorization on image retrieval
2025-04-11 19:41:36 +01:00
5b03d38392
wip(token): verifying user when getting the image
2025-04-11 19:35:49 +01:00
207f263853
fix: not using cookies anymore
...
I think Tauri doesn't like it very much
2025-04-11 13:27:19 +01:00
5b7fdd9f3e
feat(cookies): using HTTP setCookie instead of manually doing it
2025-04-11 11:34:32 +01:00
4dbe1508c2
feat: minimal UI for login
2025-04-11 11:08:33 +01:00
36d60d7985
feat(jwt): validating token
2025-04-10 15:49:53 +01:00
a86addc8b2
feat(jwt): adding access and refresh token generation
2025-04-10 15:35:35 +01:00
06d2f1db6e
feat(email): endpoint for sending auth code
2025-04-09 18:24:26 +01:00
b209de5c5d
wip(email-auth): auth and email modules
2025-04-09 18:13:49 +01:00
680003b626
refactor: moving image listener to own function
2025-04-09 17:20:27 +01:00
f294f9cdc0
fix(tools): testing and processing
...
fix
2025-04-09 13:56:30 +01:00
88fda32125
fix(types): agent processing stuff
2025-04-09 12:12:09 +01:00
03e7803467
feat(orchestrator): calling needed agents when it needs to
2025-04-05 11:01:43 +01:00
aa153de185
refactor(agents): working e2e now
...
I guess some repeated code doesnt hurt anyone, if it keeps things
simpler. Trying to be fancy with the interfaces didn't work so well.
2025-04-04 22:40:45 +01:00
71d4581110
refactor(ai-client): moving tool handling and client into seperate folders
2025-04-04 22:03:46 +01:00
8a165c2042
wip(orchestrator): basic scaffolding for the agent
2025-04-04 20:40:31 +01:00
745265773b
feat(notes): allowing frontend to save
2025-04-01 20:54:15 +00:00
f72ee73020
feat(notes): saving the notes for any images for easy text searching
2025-04-01 20:45:43 +00:00
901f214f9d
feat(contacts): events can now have organizers
2025-03-31 18:40:36 +00:00
b6969127eb
fix(backend): SQL statements without returns
2025-03-26 16:51:46 +00:00
a576355e7c
feat: creating events and attaching locations
2025-03-26 16:16:48 +00:00
6f938a34e3
feat(tool-calling) Big refactor on how tool calling is handled
...
these commits are too big
2025-03-22 20:46:26 +00:00
7debe6bab2
feat(locations): allowing AI to attach it to the image
2025-03-22 17:47:02 +00:00
4c4bf7a9e4
feat(location): working e2e with tool calling
2025-03-22 12:22:31 +00:00
aad45fcf52
feat(tool-calls): listLocation tool call handling
2025-03-22 11:14:00 +00:00
7c473e054a
feat: using tools for event loocation agent
2025-03-22 10:12:51 +00:00
f042c9dfcc
feat: working e2e solution
2025-03-20 17:59:00 +00:00
072eebc0bf
feat(events): also working
2025-03-18 18:37:12 +00:00
28dd02a47d
feat(locations): now working
2025-03-18 18:18:01 +00:00
2e1809aa27
refactor(text,tags,links): to foreign key to image instead of user_image
2025-03-18 17:48:38 +00:00
439f729150
fix: returning whole tag object
2025-03-16 18:29:15 +00:00
1d5d90c3b5
refactor(models): using more organised structure
2025-03-16 18:13:30 +00:00
d4c6aa0310
feat(tags): correctly inserting new tags and adding them to images
2025-03-11 22:47:28 +00:00
9e3896a30f
feat: super basic image search
2025-03-08 15:37:10 +00:00
03a4d49ee6
feat: sending base64 image to backend
...
This is silly, but binary is apparently hard to do????
2025-03-08 12:30:16 +00:00
53c4ec1869
fix: using json response header
2025-03-07 14:14:40 +00:00
5192aeb70f
wip: Using mistral instead of OpenAi
2025-03-07 13:42:50 +00:00
1f16cfb30b
refactor: tables for image and processing_image
...
This allows a single table to be used to process images, meaning if
anything happens to the system we can always return to polling the
database and process these images individually.
Because of this we also want an `image` table to contain the actual
binary data for the image, so we aren't selecting and writing it each
time, as it is potentially a bottleneck.
2025-02-26 20:01:56 +00:00
2a37e37c4b
refactor: using chi router + bug fixes
2025-02-26 18:04:30 +00:00
c36fb1c0d6
feat: saving AI information to database
2025-02-24 21:00:05 +00:00
e26835861d
feat: method for getting images
2025-02-24 20:05:56 +00:00
e69d7b5c08
feat: methods to get image
2025-02-24 20:02:58 +00:00
