> For the complete documentation index, see [llms.txt](https://docs.fastrouter.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fastrouter.ai/product-updates/changelog.md). # Changelog {% updates format="full" %} {% update date="2026-07-01" %} ## Added **Model Playground: Image & Video** — Added dedicated Image and Video Playgrounds to experiment with multimodal models directly from the browser. Generate images and videos, compare model outputs, and iterate without writing any code. {% endupdate %} {% update date="2026-06-25" %} ## Improved **Prompt Library** — Optimize any saved prompt version directly from Prompt Library. Prompt Optimizations now creates a new version automatically, preserving the original while making it easy to review and promote improvements. **Prompt Comparison with Samples** — Compare the original and optimized prompt side-by-side using sample inputs before promoting a new version. Quickly validate improvements and understand how prompt changes affect model outputs. {% endupdate %} {% update date="2026-06-18" %} ## Added **BytePlus Provider** — Added support for BytePlus-hosted models. FastRouter automatically handles BytePlus' custom pricing flow, including providers that return pricing information asynchronously, ensuring accurate cost tracking and billing. **New Video & Multimodal Models** — Added support for the latest image, video, and reasoning models, including x-ai/grok-imagine-video, GLM 5.2, Kimi Code 2.7, and Minimax M3.
{% endupdate %} {% update date="2026-06-11" %} ## Added **MCP Server Templates** — Added pre-configured templates for popular MCP servers, eliminating the need to manually enter server configuration values. Connect common tools in just a few clicks while retaining the flexibility to customize settings when needed. {% endupdate %} {% update date="2026-06-04" %} ## Added **Prompt Library** — Write, store, version, and optimize prompts in one place and reference them by ID in API calls, so prompt changes ship without a code deploy. Mark any version as **Production** to serve it to all live requests, and roll back instantly by promoting an earlier version. Optimize — Refine a stored prompt with Prompt Optimizations and save the result as a tracked, optimized version, with **Compare** to diff versions before promoting. Variables — Insert `{{curly braces}}` placeholders in a prompt and fill them per request via the `variables` field.
{% endupdate %} {% update date="2026-05-28" %} ## Added **Free Models** (`:free`) — Append `:free` to a supported model ID (e.g. `sarvam/sarvam-105b:free`) to route requests at no cost, with the suffix stripped transparently before reaching the provider. Available to all orgs regardless of billing status. Per-model daily quota — 10 requests per org per day, tracked independently per model and reset daily at UTC midnight; paid orgs consume free quota rather than billing credits. {% endupdate %} {% update date="2026-05-21" %} ## Added **Support for non-Claude models via Anthropic Messages format** — Route Claude Code requests to OpenAI, DeepSeek, and other FastRouter-supported providers using the same Anthropic-compatible interface\ **Universal model access in Claude Code** — Launch Claude Code with any FastRouter-supported model using the `--model` flag, without changing tooling or workflows
{% endupdate %} {% update date="2026-05-14" %} ## Added **Bring Your Own Keys (BYOK) for external providers** — Attach your own API credentials from supported LLM providers directly to FastRouter while preserving your negotiated pricing\ **Custom model provisioning** — Register fine-tuned or privately hosted models with custom endpoints, pricing metadata, and API compatibility mappings\ **Advanced endpoint configuration** — Override provider base URLs with OpenAI-, Anthropic-, or Gemini-compatible formats, plus support for custom authentication headers\ **Granular model enablement** — Enable or disable individual catalog models per integration and map custom models to provider-specific endpoints\ **Integrated routing visibility** — Reference integrations via Provider Slug across Virtual Models, Gateway Configs, and Activity Logs for full routing traceability\
{% endupdate %} {% update date="2026-05-07" %} ## Added **Video Evaluations for AI-generated content** — Automatically assess video outputs at scale using LLM-based judges, with scoring across motion fidelity, audio-visual sync, cinematic quality, and prompt adherence **Seamless log-based dataset creation** — Import video generation logs directly from FastRouter activity with filtering, sampling, and zero manual uploads **Unified evaluation infrastructure** — Use the same Custom Evaluations setup as text and image evals, including shared judge configuration, scoring rubrics, and dashboards **Multimodal LLM judging** — Leverage capable video-aware models to evaluate outputs with structured reasoning across multiple quality dimensions **Deep-dive result analysis** — Access per-video judge reasoning, aggregated performance metrics, and cost/latency insights in a single view
{% endupdate %} {% update date="2026-04-30" %} ## Added **Flex Pricing for Vertex AI and Google AI Studio models** — Access supported models at up to **50% lower cost** by using provider Flex inference tiers, ideal for batch jobs, background workloads, and latency-tolerant applications **Zero code-change activation** — Append `:flex` to any supported model ID (for example `google/gemini-3.1-pro-preview:flex`) while keeping the same API key, endpoint, and request payload **Provider-native Flex routing** — FastRouter automatically routes requests to the provider’s discounted Flex tier, with support for provider pinning to ensure correct execution paths **Built for async and cost-sensitive workloads** — Recommended for summarisation pipelines, data extraction, classification, eval runs, scheduled jobs, and large-scale preprocessing tasks where response speed is less critical **Model Catalog Flex visibility** — View supported Flex-enabled models and pricing directly in the model catalog, with per-model availability across providers {% endupdate %} {% update date="2026-04-23" %} ## Added **Flex Pricing for OpenAI models** — Access supported models at up to **50% lower cost** by using provider Flex inference tiers, ideal for batch jobs, background workloads, and latency-tolerant applications **Zero code-change activation** — Append `:flex` to any supported model ID (for example `openai/gpt-5.4-nano:flex`) while keeping the same API key, endpoint, and request payload **Provider-native Flex routing** — FastRouter automatically routes requests to the provider’s discounted Flex tier, with support for provider pinning to ensure correct execution paths **Built for async and cost-sensitive workloads** — Recommended for summarisation pipelines, data extraction, classification, eval runs, scheduled jobs, and large-scale preprocessing tasks where response speed is less critical **Model Catalog Flex visibility** — View supported Flex-enabled models and pricing directly in the model catalog, with per-model availability across providers {% endupdate %} {% update date="2026-04-13" %} ## Added **Prompt Optimizations (GEPA-powered)** — Automatically improve system prompts using FastRouter’s Genetic-Pareto optimization engine with iterative reflection, mutation, and scoring **Run prompt experiments from your own data** — Import datasets from files or Activity Logs, evaluate against custom metrics, and compare optimized prompts against baseline performance **LLM-as-a-Judge evaluations** — Score prompts across metrics like Accuracy, Helpfulness, Safety, Completeness, or your own custom criteria using a shared evaluator model **Optimization Insights** — Review improvement %, final scores, accepted iterations, and the full optimized prompt in a dedicated results view {% endupdate %} {% update date="2026-04-03" %} ## Added **MCP Gateway** — Register any MCP-compatible server (GitHub, Linear, Gmail, or your own APIs) and expose its tools to any model routed through FastRouter, with centralized credential management, project-level scoping, and selective tool exposure **OAuth 2.0 & Static Header authentication for MCP servers** — Securely store and inject credentials server-side across all tool calls, with support for No Auth, Static Header, and full OAuth 2.0 authorization code flow **Auto-execution mode** — Set `auto_execute_tools: true` to let FastRouter handle the complete tool-call loop and return a final text response directly, with a configurable `max_tool_rounds` cap (maximum 5) {% endupdate %} {% endupdates %} {% updates format="full" %} {% update date="2026-03-27" %} ## Added **Priority Routing** — Route requests through models in a fixed priority order, with automatic sequential fallback for deterministic, predictable routing **Category-Based Routing** — Direct requests to different model groups based on detected prompt category, with per-category sub-strategies and a configurable default fallback {% endupdate %} {% update date="2026-03-20" %} ## Added **Tracing (W3C `traceparent` support)** — Group multiple LLM API calls into a single trace with ordered spans **Traces view in Activity** — Visualize execution timelines, latency, tokens, and cost across spans {% endupdate %} {% endupdates %} --- # Agent Instructions This documentation is published with GitBook. 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