Documentation Index
Fetch the complete documentation index at: https://portkey-docs-feat-byteplus-provider.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
v1.8.0
Features
- Added support for Guardrails on provider batches. Pass a config containing
input_guardrailsand/oroutput_guardrailsviaportkey_optionswhen creating a 24h provider batch — Portkey applies input guardrails to redact or filter rows before forwarding to the provider, and runs output guardrails on the upstream output before exposing the final file.
Fixes and Improvements
- Fixed provider batch logs incorrectly using the batch ID as the model name. The actual model is now extracted from the parsed provider output before falling back to the batch ID.
v1.7.1
Features
- Added support for Azure Blob Storage as a log-export storage backend, alongside the existing S3 options.
- Added a FIPS-compliant Dockerfile variant. The image runs the data-service with FIPS mode enabled and uses a FIPS-compliant SHA-256 implementation (
@smithy/hash-node) for AWS request signing. See FIPS-Compliant Images for deployment details.
v1.4.0
Requires a Helm repo update (>app-1.4.0)
For air-gapped deployments,
Backend version v1.5.0 is required as it adds new columns in the analytics storeSecurity Patch
- Removed root user from container image (BREAKING CHANGE). The container image used by this chart no longer runs as root. The image now runs processes with a non-root UID and enforces a non-root container securityContext. Requires Helm repo upgrade (>app-1.4.0) to deploy the new image and chart settings.
Fixes and Improvements
- Added cost calculation logic for fine-tuning operations across multiple AI providers (OpenAI, Azure OpenAI, and Vertex AI)
- Improved error handling to preserve provider-level file upload failures during batch processing
v1.2.6
Features
- Azure Redis support for cache with auth modes including Entra and Managed Identity.
- HTTPS Proxy support for all the external calls & HTTPs communication between PODs.
- Added support for virtual key inclusion for custom log if passed in headers.
- Entra and Managed Identity support for Azure Log Store.
Fixes and Improvements
- Support Batch output from gateway directly.
v1.2.3
Fine-tuning and Batch Processing
- Added support for configurable
FINETUNE_STATUS_CHECK_INTERVALfor provider fine-tuning status check operations. - Added support for configurable
BATCH_STATUS_CHECK_INTERVALfor provider batch processing status check operations. - Both values should be in milliseconds. Minimum value is 10000 milliseconds.
- If not provided, will default to 10 seconds.
v1.2.2
Observability
- Added support for below Prometheus Counters
batch_countbatch_costbatch_input_tokensbatch_total_tokensbatch_process_timebatch_success_row_countbatch_failure_row_countbatch_row_count
- With the below labels
providertype(provider/custom)
Fixes and Improvements
- Fixed issue with attributing incorrect created at time stamp for batch processing
- Including error source as
control planefor control plane failures
v1.2.1
Data exports
- Added support for Data exports for hybrid deployments.
Fixes and Improvements
- Fixed issue with custom batches for small batch files
v1.1.4
Vertex Embeddings Batches Support
- Added support for
Vertexbatch embeddings.
Batch Processing Updates
- Included model information in log objects.
- Implemented custom batch processing output generations.
Internal POD to POD HTTPS Support
- Added support for internal POD to POD HTTPS communication.
- This can be enabled by mounting a volume with certificate and key.
TLS_KEY_PATHandTLS_CERT_PATHenvironment variables will be used to fetch the certificate and key from the volume.
v1.1.1
S3 Enhancements
- Made S3 bucket optional for Bedrock batches.
- Added S3 encryption header support for finetunes and batches.
- Implemented SSE file upload support.
Logging Improvements
- Added filtering for log exports.
- Implemented end limit for log export records.
Performance Optimizations
- Implemented internal memory cache for better performance.
v1.1.0
Bull Board Integration
- Added Bull Board for visualizing job queues and their status.
Batch Job Retry Support
- Implemented retry functionality for batch jobs to handle failures gracefully.
Prometheus Metrics Enhancements
- Added Prometheus metrics for batch jobs and fine-tuning operations.
v1.0.3
Vision Fine-tuning Support
- Added support for vision fine-tuning validation for OpenAI.
- Implemented S3 bucket support for fine-tunes.
AWS Integration Improvements
- Fixed assumed role handling for Bedrock fine-tuning dataset URLs.
- Improved S3 bucket path handling for Bedrock fine-tune operations.
- Achieved parity with Enterprise Gateway for data sources.

