From 1dc19c6d1a757f1a86697c8d0e935ab4cc4c4816 Mon Sep 17 00:00:00 2001 From: drishti-portkey Date: Thu, 1 May 2025 00:49:15 +0530 Subject: [PATCH] april-changelog --- changelog/2025/apr.mdx | 237 ++++++ images/changelog/testimonial.jpeg | Bin 0 -> 92378 bytes images/changelog/testimonial2.png | Bin 0 -> 139844 bytes introduction/what-is-portkey.mdx | 2 +- package-lock.json | 1233 +++++++++++++++++++++++------ 5 files changed, 1223 insertions(+), 249 deletions(-) create mode 100644 changelog/2025/apr.mdx create mode 100644 images/changelog/testimonial.jpeg create mode 100644 images/changelog/testimonial2.png diff --git a/changelog/2025/apr.mdx b/changelog/2025/apr.mdx new file mode 100644 index 00000000..8e08e1d1 --- /dev/null +++ b/changelog/2025/apr.mdx @@ -0,0 +1,237 @@ +--- +title: "April" +--- + +**April in review! 🧪✨** + +We kicked off April with an announcement— we make 95% of LLM costs vanish overnight. Excuse us if you took the bait! + +While we can’t make bills disappear with a snap, we’ve delivered some powerful upgrades this month that will help you build and ship robust, reliable GenAI apps, faster! + +This month, we introduced workspace-level budget and rate limits, Prompt CRUD APIs, virtual keys for self-hosted models, and powerful new integrations with OpenAI Codex CLI and n8n. We added support for the latest models like GPT-4.1, Gemini 2.5, LLaMA 4, and Qwen 3, and brought enhanced security and moderation with AWS KMS, SCIM, and expanded guardrail coverage. + +Here’s what we shipped this month: + + +## Summary + +| Area | Key Updates | +| :-- | :-- | +| Platform | • Prompt CRUD APIs
• Export logs to your internal stack
• Budget limits and rate limits on workspace
• n8n integration
• OpenAI Codex CLI integration
• New retry setting to determine wait times
• Milvus for Semantic Cache
• Plugins moved to org-level Settings
• Virtual Key exhaustion alert includes workspace
• Workspace control setup option | +| Gateway & Providers | • OpenAI embeddings latency improvement (200ms)
• Responses API for OpenAI & Azure OpenAI
• Bedrock prompt caching via unified API
• Virtual keys for self-hosted models
• Tool calling support for Groq, OpenRouter, and Ollama
• New providers: Dashscope, Recraft AI, Replicate, Azure AI Foundry
• Enhanced parameter support: Openrouter, Vertex AI, Perplexity, Bedrock
• Claude’s `anthropic_beta` parameter for Computer use beta | +| Technical Improvements | • Unified caching/logging of thinking responses
• Strict metadata logging: Workspace > API Key > Request
• Prompt render endpoint available on Gateway URL
• API key default config now locked from overrides | +| New Models & Integrations | • GPT-4.1
• Gemini 2.5 Pro and Flash
• LLaMA 4 via Fireworks, Together, Groq
• o1-pro
• gpt-image-1
• Qwen 3
• Audio models via Groq | +| Guardrails | • Azure AI Content Safety integration
• Exa Online Search as a Guardrail | + +--- + +## Platform + +**Prompt CRUD APIs** + +Prompt CRUD APIs give you the control to scale by enabling you to: + +- Programmatically create, update, and delete prompts +- Manage prompts in bulk or version-control them +- Integrate prompt updates into your own tools and workflows +- Automate updates for A/B testing and rapid experimentation + +Read more about this [here](https://portkey.ai/docs/api-reference/admin-api/control-plane/prompts/create-prompt). + +**Export logs to your internal stack** + +Enterprises can now push analytics logs to any OTEL-compliant store through Portkey to centralize monitoring, maintain compliance, and ensure efficient operations. +See how it's done [here](https://portkey.ai/docs/product/enterprise-offering/components#analytics-store) + +**Budget limits and rate limts on workspace** + +Configure budget and rate limits at the workspace level to: + +- Allocate specific budgets to different departments, teams, or projects +- Prevent individual workspaces from consuming disproportionate resources +- Ensure equitable API access and complete visibility + +**n8n integration** + +Add enterprise-grade controls to your n8n workflows with: + +- **Unified AI Gateway**: Connect to 1600+ models with full API key management—not just OpenAI or Anthropic. +- **Centralized observability**: Track 40+ metrics and request logs in real time. +- **Governance**: Monitor spend, set budgets, and apply RBAC across workflows. +- **Security guardrails**: Enable PII detection, content filtering, and compliance controls. + +Read more about the integration[here](https://portkey.ai/docs/integrations/libraries/n8n) + +**OpenAI Codex CLI integration** + +OpenAI Codex CLI gives developers a streamlined way to analyze, modify, and execute code directly from their terminal. Portkey's integration enhances this experience with: + +- Access to 250+ additional models beyond OpenAI Codex CLI's standard offerings +- Content filtering and PII detection with guardrails +- Real-time analytics and logging +- Cost attribution, budget controls, RBAC, and more! + +Read more about the integration[here](https://portkey.ai/docs/integrations/libraries/codex#openai-codex-cli) + +**Other updates** + +- Introduced a new retry setting `use_retry_after_header`. When set to true, if the provider returns the `retry-after` or `retry-after-ms headers`, the Gateway will use these headers to determine retry wait times, rather than applying the default exponential backoff for 429 responses. +- You can now store and retrieve vector embeddings for semantic cache using Milvus in Portkey. Read more about semantic cache store [here](https://portkey.ai/docs/product/enterprise-offering/components#semantic-cache-store) +- Plugins have now been moved under Settings (org-level) in the Portkey app. +- Virtual Key exhaustion alert emails now include which workspace the exhausted key belonged to. +- Set up your workspace with Workspace control on the Portkey app. + +## Gateway & Providers + +**OpenAI embeddings response** +We’ve optimized the Gateway’s handling of OpenAI embeddings requests, leading to around 200ms improvement in response latency. + +**Responses API** + +You can now use the Responses API to access OpenAI and Azure OpenAI models on Portkey, enabling a flexible and easier way to create agentic experiences. + +- Complete observability and usage tracking +- Caching support for streaming requests +- Access to advanced tools — web search, file search, and code execution, with per-tool cost tracking + +**Bedrock prompt caching** + +You can now implement Amazon Bedrock’s prompt caching through our OpenAI-compliant unified API and prompt templates. + +- Cache specific portions of your requests for repeated use +- Reduce inference response latency and input token costs + +Read more about the implementation [here](https://portkey.ai/docs/integrations/llms/bedrock/prompt-caching) + +**Virtual keys for self-hosted models** + +You can now create a virtual key for any self-hosted model - whether you're running Ollama, vLLM, or any custom/private model. + +- No extra setup required +- Stay in control with logs, traces, and key metrics +- Manage all your LLM interactions through one interface + +**Advanced capabilities** + +- **Openrouter**: Added mapping for new parameters - modalities, reasoning, transforms, provider, models, response_format. +- **Vertex AI**: Added support for explicitly mentioning mime_type for urls sent in the request. Gemini 2.5 thinking parameters are now available. +- **Perplexity**: Added support for response_format and search_recency_filter request parameters. +- **Bedrock**: You can now pass the `anthropic_beta` parameter in Bedrock’s Anthropic API via Portkey to enable Claude's Computer use beta feature. + +**Tool calling** + +Portkey now supports tool calling for Groq, OpenRouter, and Ollama + +**New Providers** + + + +Integrate with Dashscope + + +Generate production-ready visuals with Recraft + + + + +Run open-source models via simple APIs with Replicate + + +Access over 1,800 models with Azure AI Foundry + + + +**Technical Improvements** + +- **Caching and Logging Unified Thinking Responses**: Unified thinking response (content_blocks) now logged and cached for stream responses. +- **Strict Metadata Enforcement**: The metalogging preference order now is `Workspace Default > API Key Default > Incoming Request`. This is provide better control to org admins and ensure values set by them are not overridden. +- **Prompt render endpoint**: Previously only available via the control plane, the prompt render endpoint is now supported directly on the Gateway URL. +- Default config in an API key can no longer be overridden. +- + + +## New Models & Integrations + + + +OpenAI’s new model for faster and improved responses + + +Google's most advanced model + + +Google's fast, coest-efficient thinking model + + +Meta's latest model via Fireworks, Together, and Groq + + +OpenAI's model for better reasoning and consistent answers + + +OpenAI's latest image generation capabilities + + +Alibaba's latest model with hybrid reasoning + + +Access audio models via Groq + + + +## Guardrails + +- **Azure AI content safety**: Use Microsoft’s content filtering solution to moderate inputs and outputs across supported models. + +- **Exa Online Search**: You can now configure Exa Online Search as a Guardrail in Portkey to enable real-time, grounded search across the web before answering. This makes any LLM capable of handling current events or live queries without needing model retraining. + +## Documentation + + + +We've made significant improvements to our documentation: + +- **Virtual keys access**: Defining who can view and manage virtual keys within workspaces. [Learn more](https://portkey.ai/docs/product/administration/configure-virtual-key-access-permissions) +- **API keys access**: Control how workspace managers and members interact with API keys within their workspaces. [Learn more](https://portkey.ai/docs/product/administration/configure-api-key-access-permissions) + + +## Community + + + + + + + + + + + +**Partner blog** +[See] (https://portkey.ai/blog/securing-your-ai-via-ai-gateways/) how Portkey and Pillar together can help you build secure GenAI apps for production. + +### Community Contributors + +A special thanks to our community contributors this month: +- [unsync](https://github.com/unsync) +- [francescov1](https://github.com/francescov1) +- [Ajay Satish](https://github.com/Ajay-Satish-01) + +## Support + + + +Open an issue on GitHub + + +Get support in our Discord + + diff --git a/images/changelog/testimonial.jpeg b/images/changelog/testimonial.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..f81cd7f9155129b2dcca7890dcecbea5afcc9a01 GIT binary patch literal 92378 zcmc$_WmsHI)+pLI36kIr!9CDeaDuzLOXJWu1W!V6cb6cIySuvvhi*ua06_!62_d)1 zJ2UUhIcL7-p8MxkKfU+rRjXFjs;a%LcK=@ay#aWxAR{jWKtKQh5a1uc?=6HCc}YoA 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