---
title: "v1.4.12"
description: "v1.4.12 changelog - 2026-03-15"
---
<Tabs>
  <Tab title="NPX">
    ```bash
    npx -y @maximhq/bifrost --transport-version v1.4.12
    ```
  </Tab>
  <Tab title="Docker">
    ```bash
    docker pull maximhq/bifrost:v1.4.12
    docker run -p 8080:8080 maximhq/bifrost:v1.4.12
    ```
  </Tab>
</Tabs>

<Update label="Bifrost(HTTP)" description="1.4.12">
## ✨ Features

- **WebSocket based responses API** — Added WebSocket transport for responses API (OpenAI)
- **Anthropic Passthrough** — Added native Anthropic passthrough endpoint
- **Prompt Repository** — Added HTTP handlers for prompt management with RBAC (folders, prompts, versions, sessions)
- **Streaming Request Decompression** — Threshold-gated streaming decompression with pooled readers, replacing BodyUncompressed()
- **Model Parameters API** — Added model parameters table and API endpoint with in-memory caching
- **Virtual Key Limit Resets** — Added virtual key limit reset functionality
- **Session Stickiness** — Added session stickiness in key selection for consistent routing
- **Pricing Engine Refactor** — Unified cost calculation with quality-based image and video pricing
- **Image Configuration** — Added size/aspect ratio config for Gemini and size-to-resolution conversion for Replicate
- **Large Payload Support** — Added large payload awareness across transport hooks, plugins, and response streaming
- **Raw Request/Response Storage** — Allow storing raw request/response without returning them to clients (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- **ChatReasoning Enabled Field** — Added Enabled field to ChatReasoning struct (thanks [@mango766](https://github.com/mango766)!)

## 🐞 Fixed

- **Deterministic Tool Schema** — Fixed deterministic tool schema serialization for Anthropic prompt caching (thanks [@Edward-Upton](https://github.com/Edward-Upton)!)
- **CORS Wildcard** — Fixed CORS issue with allowing * origin
- **TLS Termination** — Allow TLS termination inside Bifrost server through config
- **Bedrock toolChoice** — Fixed toolChoice silently dropped on Bedrock /converse and /converse-stream endpoints
- **Count Tokens Passthrough** — Fixed request body passthrough for count tokens endpoint for Anthropic and Vertex
- **Chat Finish Reason** — Map chat finish_reason to responses status and preserve terminal stream semantics
- **Tool Call Indexes** — Fixed streaming tool call indices for parallel tool calls in chat completions stream
- **Video Pricing** — Fixed video pricing calculation
- **SQLite Migration** — Prevented CASCADE deletion during routing targets migration
- **Log Serialization** — Reduced logstore serialization overhead and batch cost updates
- **Log List Queries** — Avoid loading raw_request/raw_response in log list queries (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- **MCP Reconnection** — Improved MCP client reconnection with exponential backoff and connection timeout
- **Responses Input Messages** — Set responses input messages in gen_ai.input.messages
- **Helm Fixes** — Fixed Helm chart and test issues

</Update>
<Update label="Core" description="1.4.8">
- feat: WebSocket and Realtime API support
- feat: Anthropic passthrough support
- feat: threshold-gated streaming request decompression with pooled readers
- feat: refactored model catalog pricing engine with unified cost calculation
- feat: quality-based image pricing and image size/aspect ratio for Gemini
- feat: size-to-resolution conversion for Replicate image models
- feat: session stickiness in key selection
- feat: add Enabled field to ChatReasoning struct (thanks [@mango766](https://github.com/mango766)!)
- feat: allow storing raw request/response without returning to clients (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- feat: RBAC for prompt repository
- fix: deterministic tool schema serialization for prompt caching (thanks [@Edward-Upton](https://github.com/Edward-Upton)!)
- fix: skip body building for large payload flow
- fix: TLS termination inside Bifrost server through config
- fix: map chat finish_reason to responses status and preserve terminal stream semantics
- fix: set responses input messages in gen_ai.input.messages
- fix: video pricing fixes
- fix: remove resolution parameter from image generation
- fix: MCP client reconnection with exponential backoff and connection timeout

</Update>
<Update label="Framework" description="1.2.27">
- fix: record ttft in nanoseconds instead of milliseconds to avoid truncation to 0
- feat: add `routing_targets` table with 1:many relationship to `routing_rules`; migrates existing single-target rules to the new table with `weight=1`; drops legacy `provider` and `model` columns from `routing_rules`
- feat: add per-target `key_id` pinning support in `routing_targets`
- fix: avoid postgres cached-plan failures during provider hash backfill [@dannyball710](https://github.com/dannyball710)
- feat: prompt repository with folder, prompt, version, and session schemas and backend
- feat: model parameters table and API endpoint with in-memory caching
- feat: large payload awareness for plugins and logstore
- feat: large payload transport hooks and response streaming
- feat: chat token detail OTEL span attributes
- feat: hide deleted virtual keys from filter options
- feat: virtual key search/filtering and pagination
- feat: allow storing raw request/response without returning to clients (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- fix: MCP client reconnection with exponential backoff and connection timeout
- fix: prevent SQLite CASCADE deletion during routing targets migration
- fix: reduce logstore serialization overhead and batch cost updates
- fix: video pricing fixes
- fix: avoid loading raw_request/raw_response in log list queries (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- chore: upgraded core to v1.4.8

</Update>
<Update label="governance" description="1.4.28">
- feat: pricing engine integration with unified cost calculation
- feat: large payload awareness
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="jsonparser" description="1.4.27">
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="litellmcompat" description="0.0.17">
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="logging" description="1.4.28">
- feat: passthrough support for log capture
- feat: large payload awareness for logstore
- feat: async log write improvements
- fix: reduce logstore serialization overhead and batch cost updates
- fix: avoid loading raw_request/raw_response in log list queries (thanks [@Vaibhav701161](https://github.com/Vaibhav701161)!)
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="maxim" description="1.5.26">
- feat: WebSocket and Realtime API support
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="mocker" description="1.4.27">
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="otel" description="1.1.27">
- fix: set responses input messages in gen_ai.input.messages
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="semanticcache" description="1.4.26">
- feat: add Enabled field to ChatReasoning struct (thanks [@mango766](https://github.com/mango766)!)
- feat: large payload awareness
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>
<Update label="telemetry" description="1.4.28">
- feat: pricing engine integration
- chore: upgraded core to v1.4.8 and framework to v1.2.27

</Update>