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* ✨ v0.8.3
* chore: Bump package versions and update configuration
- Updated package versions for @librechat/api (1.7.25), @librechat/client (0.4.54), librechat-data-provider (0.8.302), and @librechat/data-schemas (0.0.38).
- Incremented configuration version in librechat.example.yaml to 1.3.6.
* feat: Add OpenRouter headers to OpenAI configuration
- Introduced 'X-OpenRouter-Title' and 'X-OpenRouter-Categories' headers in the OpenAI configuration for enhanced compatibility with OpenRouter services.
- Updated related tests to ensure the new headers are correctly included in the configuration responses.
* chore: Update package versions and dependencies
- Bumped versions for several dependencies including @eslint/eslintrc to 3.3.4, axios to 1.13.5, express to 5.2.1, and lodash to 4.17.23.
- Updated @librechat/backend and @librechat/frontend versions to 0.8.3.
- Added new dependencies: turbo and mammoth.
- Adjusted various other dependencies to their latest versions for improved compatibility and performance.
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| Chart.yaml | ||
| DNS_CONFIGURATION.md | ||
| readme.md | ||
| values.yaml | ||
LibreChat Helm Chart
This Librechat Helm Chart provides an easy, light weight template to deploy LibreChat on Kubernetes
Variables
In this Chart, LibreChat will only work with environment Variables. You can Specify Vars and Secret using an existing Secret (This can be generated by creating an Env File and converting it to a Kubernetes Secret --from-env-file)
Setup
- Generate Variables
Generate
CREDS_KEY,JWT_SECRET,JWT_REFRESH_SECRETandMEILI_MASTER_KEYusingopenssl rand -hex 32andCREDS_IVusing openssl rand -hex 16. place them in a secret like this (If you want to change the secret name, remember to change it in your helm values):
apiVersion: v1
kind: Secret
metadata:
name: librechat-credentials-env
namespace: <librechat-chart-namespace>
type: Opaque
stringData:
CREDS_KEY: <generated value>
JWT_SECRET: <generated value>
JWT_REFRESH_SECRET: <generated value>
MEILI_MASTER_KEY: <generated value>
- Add Credentials to the Secret Dependant of the Model you want to use, create Credentials in your provider and add them to the Secret:
apiVersion: v1
kind: Secret
. . . .
OPENAI_API_KEY: <your secret value>
-
Apply the Secret to the Cluster
-
Fill out values.yaml and apply the Chart to the Cluster