Lido Node Operators Keys Service

Simple Lido keys and validators HTTP API.

Glossary

• SR - Staking Router contract

API

You can familiarize yourself with the REST API by accessing it here.

Requirements

1. 2 core CPU
2. 5 GB RAM
   • Keys-API-DB — 500MB
   • Keys-API — 4GB
3. EL Full node
4. CL node for applications like Ejector that use validators API. KAPI currently doesn't work with Nimbus client. If you use Teku client, please use archive mode.

Installation

1. $ yarn install
2. $ yarn typechain

Running

$ yarn start:dev

For running locally in container run

1. docker-compose -f docker-compose.yml build
2. docker-compose -f docker-compose.yml up
3. docker-compose -f docker-compose.metrics.yml up

To configure grafana go to http://localhost:8000/dashboards and dashboards from ./grafana folder.

For running KAPI, one can also use the image from this page https://docs.lido.fi/guides/tooling#keys-api. Please always use the SHA256 hash of the Docker image for the latest release: lidofinance/lido-keys-api@.

E2E tests

$ yarn test:e2e

Environment variable

Check sample.env file.

Pay attention that API by default running job for fetching and updating Validators. If you are not planning to use validators endpoints, you could disable this job by setting VALIDATOR_REGISTRY_ENABLE=false.

Run KAPI on fork

For running KAPI on fork setup environment variables:

CHAIN_ID=1
CHRONIX_PROVIDER_MAINNET_URL=YOUR-MAINNET-PROVIDER
CHRONIX_SESSION_PORT=8002
PROVIDERS_URLS = http://127.0.0.1:8002

1. Run chronix yarn chronix:start
2. Init chronix: yarn fork:init
3. Start kapi: yarn start:dev

Keep in mind PROVIDERS_URLS should contain chronix session url.

Benchmarks

This part of document outlines running benchmarks and collecting Prometheus metrics using K6.

At first install k6.

Run yarn build. Run KAPI yarn start:dev.

Running Benchmarks: Execute this command to run benchmarks and save results in benchmarks/output.json:

k6 run -e PORT=<KAPI-PORT> --out json=benchmarks/output.json --tag testid=<UNIQUE-ID> dist/benchmarks/<TEST-NAME>.script.js

Replace with your unique test identifier.

Collecting Prometheus Metrics: For collecting benchmarks' Prometheus metrics, set the Prometheus server URL:

export K6_PROMETHEUS_RW_SERVER_URL=http://<PROMETHEUS-SERVER-URL>/api/v1/write

Replace with your Prometheus server's address. Then, execute benchmarks and collect Prometheus metrics:

k6 run -e PORT=<KAPI-PORT> --out json=benchmarks/output.json -o experimental-prometheus-rw --tag testid=<UNIQUE-ID> dist/benchmarks/<TEST-NAME>.script.js

Once again, use to differentiate your test run in the results.

Release flow

To create a new release:

1. Merge all changes to the main branch.
2. After the merge, the Prepare release draft action will run automatically. When the action is complete, a release draft is created.
3. When you need to release, go to Repo → Releases.
4. Publish the desired release draft manually by clicking the edit button - this release is now the Latest Published.
5. After publication, the action to create a release bump will be triggered automatically.

License

API Template is MIT licensed.