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feat: Add Amazon Bedrock service tier support
Implement configurable service tier selection (Priority, Standard, Flex) for all Bedrock API calls to optimize performance and cost. Features: - Global service tier configuration with operation-specific overrides - Support for all operations: OCR, Classification, Extraction, Assessment, Summarization - Web UI components for service tier selection - CLI parameters for service tier specification - Automatic normalization of 'standard' to 'default' for API compatibility - Comprehensive unit tests (7/7 passing) - Full documentation in docs/service-tiers.md Backend Changes: - BedrockClient: Added service_tier parameter with validation and normalization - Configuration models: Added service_tier fields to all operation configs - Services: All services read and pass service_tier to Bedrock API calls - Fallback chain: CLI → Operation Config → Global Config → 'standard' Frontend Changes: - GlobalServiceTierSection component for global tier selection - OperationServiceTierField component for operation overrides - Service tier constants and help text - Integrated into ConfigurationLayout Configuration: - All pattern configs updated with service_tier settings - Global default: 'standard' - Operation overrides: null (use global default) Testing: - 7 unit tests covering all service tier scenarios - All tests passing - All lint checks passing (ruff) Backward Compatibility: - Fully backward compatible - Optional parameter, defaults to 'standard' - Existing configurations work without modification Closes: Service tier support implementation
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docs/service-tiers.md

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# Amazon Bedrock Service Tiers
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The GenAI IDP solution supports Amazon Bedrock service tiers, allowing you to optimize for performance and cost by selecting different service tiers for model inference operations.
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## Overview
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Amazon Bedrock offers three service tiers for on-demand inference:
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| Tier | Performance | Cost | Best For |
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|------|-------------|------|----------|
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| **Priority** | Fastest response times | Premium pricing (~25% more) | Customer-facing workflows, real-time interactions |
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| **Standard** | Consistent performance | Regular pricing | Everyday AI tasks, content generation |
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| **Flex** | Variable latency | Discounted pricing | Batch processing, evaluations, non-urgent workloads |
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## Configuration
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### Global Service Tier
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Set a default service tier for all operations in your configuration:
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```yaml
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# Global default applies to all operations
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service_tier: "standard"
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```
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### Operation-Specific Overrides
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Override the global setting for specific operations:
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```yaml
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# Global default
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service_tier: "standard"
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# Operation-specific overrides
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classification:
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service_tier: "priority" # Fast classification for real-time workflows
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model: "us.amazon.nova-pro-v1:0"
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# ... other settings
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extraction:
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service_tier: "flex" # Cost-effective extraction for batch processing
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model: "us.amazon.nova-pro-v1:0"
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# ... other settings
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assessment:
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service_tier: null # null = use global default (standard)
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# ... other settings
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summarization:
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service_tier: "flex" # Summarization can tolerate longer latency
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# ... other settings
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```
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### Valid Values
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- `"priority"` - Fastest response times, premium pricing
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- `"standard"` - Default tier, consistent performance (also accepts `"default"`)
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- `"flex"` - Cost-effective, longer latency
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- `null` or omitted - Uses global default or "standard" if no global set
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## Web UI Configuration
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### Global Service Tier
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1. Navigate to the Configuration page
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2. Find the "Service Tier (Global Default)" dropdown near the top
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3. Select your preferred tier:
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- **Standard (Default)** - Consistent performance
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- **Priority (Fastest)** - Premium speed
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- **Flex (Cost-Effective)** - Budget-friendly
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4. Changes save automatically
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### Operation-Specific Overrides
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Within each operation section (Classification, Extraction, Assessment, Summarization):
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1. Find the "Service Tier Override" dropdown
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2. Select an option:
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- **Use Global Default** - Inherit global setting
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- **Priority (Fastest)** - Override with priority
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- **Standard** - Override with standard
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- **Flex (Cost-Effective)** - Override with flex
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3. The UI shows the current effective tier
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## CLI Usage
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### Deployment
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Specify service tier during stack deployment:
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```bash
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idp-cli deploy \
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--stack-name my-idp-stack \
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--pattern pattern-2 \
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--admin-email [email protected] \
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--service-tier flex
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```
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### Batch Processing
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Override service tier for a specific batch:
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```bash
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idp-cli run-inference \
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--stack-name my-idp-stack \
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--dir ./documents/ \
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--service-tier priority \
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--monitor
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```
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**Note:** CLI service tier parameter sets the global default in configuration. For operation-specific control, use configuration files or the Web UI.
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## Use Case Recommendations
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### Priority Tier
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**When to use:**
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- Customer-facing chat assistants
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- Real-time document processing
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- Interactive AI applications
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- Time-sensitive workflows
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**Example configuration:**
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```yaml
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service_tier: "priority" # All operations use priority
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```
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### Standard Tier
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**When to use:**
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- General document processing
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- Content generation
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- Text analysis
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- Routine workflows
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**Example configuration:**
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```yaml
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service_tier: "standard" # Default, no configuration needed
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```
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### Flex Tier
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**When to use:**
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- Batch document processing
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- Model evaluations
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- Content summarization
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- Non-urgent workflows
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- Cost optimization
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**Example configuration:**
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```yaml
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service_tier: "flex" # All operations use flex
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# Or mixed approach
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service_tier: "standard" # Global default
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classification:
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service_tier: "priority" # Fast classification
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extraction:
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service_tier: "flex" # Cost-effective extraction
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```
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## Mixed Tier Strategy
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Optimize cost and performance by using different tiers for different operations:
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```yaml
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# Global default for most operations
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service_tier: "standard"
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# Fast classification for real-time user experience
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classification:
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service_tier: "priority"
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model: "us.amazon.nova-pro-v1:0"
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# Standard extraction (inherit global)
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extraction:
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service_tier: null # Uses global "standard"
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model: "us.amazon.nova-pro-v1:0"
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# Cost-effective assessment (can tolerate latency)
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assessment:
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service_tier: "flex"
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model: "us.amazon.nova-lite-v1:0"
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# Cost-effective summarization (non-critical)
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summarization:
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service_tier: "flex"
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model: "us.amazon.nova-premier-v1:0"
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```
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## Performance Expectations
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### Priority Tier
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- Up to 25% better output tokens per second (OTPS) latency vs standard
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- Requests prioritized over other tiers
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- Best for latency-sensitive applications
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### Standard Tier
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- Consistent baseline performance
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- Suitable for most workloads
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- Balanced cost and performance
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### Flex Tier
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- Variable latency (longer than standard)
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- Pricing discount over standard
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- Suitable for batch and background processing
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## Cost Implications
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- **Priority**: ~25% premium over standard pricing
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- **Standard**: Regular on-demand pricing (baseline)
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- **Flex**: Discounted pricing (varies by model)
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Use the [AWS Pricing Calculator](https://calculator.aws/#/createCalculator/bedrock) to estimate costs for different service tiers.
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## Monitoring
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### CloudWatch Metrics
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Service tier usage is tracked in CloudWatch metrics:
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- Dimension: `ServiceTier` shows requested tier
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- Dimension: `ResolvedServiceTier` shows actual tier that served the request
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### CloudWatch Logs
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Service tier information appears in Lambda function logs:
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```
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Using service tier: default
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```
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Look for this log message in:
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- OCR function logs
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- Classification function logs
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- Extraction function logs
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- Assessment function logs
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- Summarization function logs
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## Model Support
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Not all models support all service tiers. Check the [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/service-tiers-inference.html) for current model support.
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**Supported models include:**
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- Amazon Nova models (Pro, Lite, Premier)
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- Anthropic Claude models
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- OpenAI models
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- Qwen models
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- DeepSeek models
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## Troubleshooting
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### Service Tier Not Applied
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**Symptom:** Logs don't show service tier being used
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**Solutions:**
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1. Verify service_tier is set in configuration
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2. Check for typos in tier name (must be: priority, standard, or flex)
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3. Ensure configuration is saved and loaded correctly
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4. Check CloudWatch logs for validation warnings
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### Invalid Service Tier Warning
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**Symptom:** Log shows "Invalid service_tier value"
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**Solutions:**
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1. Use only valid values: priority, standard, flex
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2. Check for extra spaces or incorrect casing
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3. Verify YAML syntax is correct
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### Model Not Supported
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**Symptom:** Bedrock API returns error about unsupported service tier
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**Solutions:**
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1. Check model supports the selected tier
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2. Refer to AWS documentation for model support matrix
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3. Fall back to standard tier for unsupported models
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## Best Practices
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1. **Start with Standard**: Use standard tier as baseline, then optimize
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2. **Monitor Costs**: Track usage by tier in CloudWatch and AWS Cost Explorer
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3. **Test Performance**: Compare latency across tiers for your workload
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4. **Mixed Strategy**: Use priority for critical paths, flex for batch operations
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5. **Document Decisions**: Note why specific tiers chosen for each operation
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## Additional Resources
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- [Amazon Bedrock Service Tiers User Guide](https://docs.aws.amazon.com/bedrock/latest/userguide/service-tiers-inference.html)
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- [Service Tiers API Reference](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ServiceTier.html)
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- [AWS Blog: Service Tiers Announcement](https://aws.amazon.com/blogs/aws/new-amazon-bedrock-service-tiers-help-you-match-ai-workload-performance-with-cost/)
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- [AWS Pricing Calculator](https://calculator.aws/#/createCalculator/bedrock)

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