WrenAI

mirror of https://github.com/Canner/WrenAI.git synced 2026-10-31 02:57:15 +08:00

Files

T

william chang(張仲威) 4ff1ae0678 Feature/home api (#41 )

* feat(wren-ui): wrenAIAdaptor

* feat(wren-ui): migration file to add thread tables

* feat(wren-ui): ask feature & thread graphql resolver

* feat(wren-ui): thread repository

* feat(wren-ui): finish ask & thread api

* docker-compose for dev

* fix(wren-ui): fix some transformation issues in API

* fix(wren-ui/ask-feature): fix business logics in thread API

* fix(wren-ui): revert some configs back

* feat(wren-ui/ask): add follow-up question support

* support update/delete thread

* feat(wren-ui/ask): finish preview data & show full sql apis

* feat(wren-ui/ask): use allSettle to print error message if a job failed

* feat(wren-ui/ask): remove showsql mutation & put sql into threadResponse.detail

* fix(wren-ui/ask): fix lint issue

* fix(apollo): handle error formating

* error handling

* change of to create in error

2024-04-01 18:19:36 +08:00

bootstrap

Feature: build wren-ui docker image & docker-compose to start all service we need (#27 )

2024-03-22 16:39:48 +08:00

.env.example

Feature/home api (#41 )

2024-04-01 18:19:36 +08:00

docker-compose-dev.yaml

Feature/home api (#41 )

2024-04-01 18:19:36 +08:00

docker-compose.yaml

Feature/ai service/fix failed sql queries + add error code (#50 )

2024-03-28 15:11:30 +08:00

README.md

Feature/wren launcher (#33 )

2024-03-25 17:42:20 +08:00

README.md

Service

wren-engine: the engine service. check out example here: wren-engine /example
wren-ai-service: the AI service. check out example here: wren-ai-service docker-compose example
qdrant: the vector store ai service is using.
wren-ui: the UI service.
bootstrap: put required files to volume for engine service.

Volume

Shared data using data volume.

Path structure as following:

/mdl
- *.json (will put sample.json during bootstrap)
accounts
config.properties

Network

Check out Network drivers overview to learn more about bridge network driver.

How to start

copy .env.example to .env.local and modify the OpenAI API key.
(optional) if your port 3000 is occupied, you can modify the HOST_PORT in .env.local.
run docker-compose --env-file .env.local up to start all services.