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build(ghcr_deploy.yml): deploy spend logs server docker image
make it easy for user to deploy a separate spend logs server
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2 changed files with 54 additions and 2 deletions
46
.github/workflows/ghcr_deploy.yml
vendored
46
.github/workflows/ghcr_deploy.yml
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@ -43,6 +43,14 @@ jobs:
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push: true
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file: Dockerfile.database
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tags: litellm/litellm-database:${{ github.event.inputs.tag || 'latest' }}
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-
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name: Build and push litellm-database image
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uses: docker/build-push-action@v5
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with:
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push: true
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context: ./litellm-js/spend-logs
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file: Dockerfile
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tags: litellm/litellm-spend_logs:${{ github.event.inputs.tag || 'latest' }}
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build-and-push-image:
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runs-on: ubuntu-latest
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@ -120,6 +128,44 @@ jobs:
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tags: ${{ steps.meta-database.outputs.tags }}-${{ github.event.inputs.tag || 'latest' }}, ${{ steps.meta-database.outputs.tags }}-latest
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labels: ${{ steps.meta-database.outputs.labels }}
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platforms: local,linux/amd64,linux/arm64,linux/arm64/v8
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build-and-push-image-spend-logs:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Log in to the Container registry
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uses: docker/login-action@65b78e6e13532edd9afa3aa52ac7964289d1a9c1
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata (tags, labels) for database Dockerfile
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id: meta-spend-logs
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uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
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with:
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images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}-spend_logs
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# Configure multi platform Docker builds
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- name: Set up QEMU
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uses: docker/setup-qemu-action@e0e4588fad221d38ee467c0bffd91115366dc0c5
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@edfb0fe6204400c56fbfd3feba3fe9ad1adfa345
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- name: Build and push Database Docker image
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uses: docker/build-push-action@f2a1d5e99d037542a71f64918e516c093c6f3fc4
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with:
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context: ./litellm-js/spend-logs
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file: Dockerfile
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push: true
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tags: ${{ steps.meta-spend-logs.outputs.tags }}-${{ github.event.inputs.tag || 'latest' }}, ${{ steps.meta-spend-logs.outputs.tags }}-latest
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labels: ${{ steps.meta-spend-logs.outputs.labels }}
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platforms: local,linux/amd64,linux/arm64,linux/arm64/v8
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build-and-push-helm-chart:
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runs-on: ubuntu-latest
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steps:
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@ -40,7 +40,13 @@ Use this Docker `CMD`. This will start the proxy with 1 Uvicorn Async Worker
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CMD ["--port", "4000", "--config", "./proxy_server_config.yaml"]
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```
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## 3. Switch off spend logging and resetting budgets
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## 3. Move spend logs to separate server
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Writing each spend log to the db can slow down your proxy. In testing we saw a 70% improvement in median response time, by moving writing spend logs to a separate server.
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## 4. Switch off resetting budgets
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Add this to your config.yaml. (Only spend per Key, User and Team will be tracked - spend per API Call will not be written to the LiteLLM Database)
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```yaml
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disable_reset_budget: true
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```
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## 4. Switch of `litellm.telemetry`
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## 5. Switch of `litellm.telemetry`
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Switch of all telemetry tracking done by litellm
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