WrenAI

opensource/WrenAI

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Pao ShengandChihYu Yeh ec1f7fa513 feature(wren-ai-service): CI enhancement with docker compose (#428 )

* rename yml to yaml, fix some tests

* update

* refine

* update: remove redis, re_run, workers number, add pipeline visualization

* add visualization

* remove unused code

* chore: store all development data in the etc folder

* chore: update the ai service readme for development commands

* chore: marked some sections to deprecated

* chore: remove the wren engine docker compose from eval folder

* chore: remove unused commands in the test command

* chore: modify the CI behavior to run test cases

* fix: add the env to access UI endpoint

* chore: remove workers from kustomization

* chore: temporarily loose some assertions

* chore: set the timer to disable by default

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Co-authored-by: ChihYu Yeh <chihyu.jimmy.yeh@gmail.com>

2024-06-19 12:18:59 +08:00

bootstrap

fix(wren-launcher): fix adding properties to config.properties (#285 )

2024-05-21 13:03:18 +08:00

.env.example

feature(wren-ai-service): CI enhancement with docker compose (#428 )

2024-06-19 12:18:59 +08:00

docker-compose-dev.yaml

feature(wren-ai-service): CI enhancement with docker compose (#428 )

2024-06-19 12:18:59 +08:00

docker-compose.yaml

feature(wren-ai-service): CI enhancement with docker compose (#428 )

2024-06-19 12:18:59 +08:00

README.md

feature(wren-ai-service): CI enhancement with docker compose (#428 )

2024-06-19 12:18:59 +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.