--- title: "v1.75.8-stable - Team Member Rate Limits" slug: "v1-75-8" date: 2025-08-16T10:00:00 authors: - name: Krrish Dholakia title: CEO, LiteLLM url: https://www.linkedin.com/in/krish-d/ image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg - name: Ishaan Jaffer title: CTO, LiteLLM url: https://www.linkedin.com/in/reffajnaahsi/ image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg hide_table_of_contents: false --- import Image from '@theme/IdealImage'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; ## Deploy this version ``` showLineNumbers title="docker run litellm" docker run \ -e STORE_MODEL_IN_DB=True \ -p 4000:4000 \ docker.litellm.ai/berriai/litellm:v1.75.8-stable ``` ``` showLineNumbers title="pip install litellm" pip install litellm==1.75.8 ``` --- ## Key Highlights - **Team Member Rate Limits** - Individual rate limiting for team members with JWT authentication support. - **Performance Improvements** - New experimental HTTP handler flag for 100+ RPS improvement on OpenAI calls. - **GPT-5 Model Family Support** - Full support for OpenAI's GPT-5 models with `reasoning_effort` parameter and Azure OpenAI integration. - **Azure AI Flux Image Generation** - Support for Azure AI's Flux image generation models. --- ## Team Member Rate Limits

LiteLLM MCP Architecture: Use MCP tools with all LiteLLM supported models

This release adds support for setting rate limits on individual members (including machine users) within a team. Teams can now give each agent its own rate limits—so that heavy-traffic agents don’t impact other agents or human users. Agents can authenticate with LiteLLM using JWT and the same team role as human users, while still enforcing per-agent rate limits. ## New Models / Updated Models #### New Model Support | Provider | Model | Context Window | Input ($/1M tokens) | Output ($/1M tokens) | Features | | ----------- | -------------------------------------- | -------------- | ------------------- | -------------------- | -------- | | Azure AI | `azure_ai/FLUX-1.1-pro` | - | - | $40/image | Image generation | | Azure AI | `azure_ai/FLUX.1-Kontext-pro` | - | - | $40/image | Image generation | | Vertex AI | `vertex_ai/deepseek-ai/deepseek-r1-0528-maas` | 65k | $1.35 | $5.4 | Chat completions + reasoning | | OpenRouter | `openrouter/deepseek/deepseek-chat-v3-0324` | 65k | $0.14 | $0.28 | Chat completions | #### Features - **[OpenAI](../../docs/providers/openai)** - Added `reasoning_effort` parameter support for GPT-5 model family - [PR #13475](https://github.com/BerriAI/litellm/pull/13475), [Get Started](../../docs/providers/openai#openai-chat-completion-models) - Support for `reasoning` parameter in Responses API - [PR #13475](https://github.com/BerriAI/litellm/pull/13475), [Get Started](../../docs/response_api) - **[Azure OpenAI](../../docs/providers/azure/azure)** - GPT-5 support with max_tokens and `reasoning` parameter - [PR #13510](https://github.com/BerriAI/litellm/pull/13510), [Get Started](../../docs/providers/azure/azure#gpt-5-models) - **[AWS Bedrock](../../docs/providers/bedrock)** - Streaming support for bedrock gpt-oss model family - [PR #13346](https://github.com/BerriAI/litellm/pull/13346), [Get Started](../../docs/providers/bedrock#openai-gpt-oss) - `/messages` endpoint compatibility with `bedrock/converse/` - [PR #13627](https://github.com/BerriAI/litellm/pull/13627) - Cache point support for assistant and tool messages - [PR #13640](https://github.com/BerriAI/litellm/pull/13640) - **[Azure AI](../../docs/providers/azure)** - New Azure AI Flux Image Generation provider - [PR #13592](https://github.com/BerriAI/litellm/pull/13592), [Get Started](../../docs/providers/azure_ai_img) - Fixed Content-Type header for image generation - [PR #13584](https://github.com/BerriAI/litellm/pull/13584) - **[CometAPI](../../docs/providers/comet)** - New provider support with chat completions and streaming - [PR #13458](https://github.com/BerriAI/litellm/pull/13458) - **[SambaNova](../../docs/providers/sambanova)** - Added embedding model support - [PR #13308](https://github.com/BerriAI/litellm/pull/13308), [Get Started](../../docs/providers/sambanova#sambanova---embeddings) - **[Vertex AI](../../docs/providers/vertex)** - Added `/countTokens` endpoint support for Gemini CLI integration - [PR #13545](https://github.com/BerriAI/litellm/pull/13545) - Token counter support for VertexAI models - [PR #13558](https://github.com/BerriAI/litellm/pull/13558) - **[hosted_vllm](../../docs/providers/vllm)** - Added `reasoning_effort` parameter support - [PR #13620](https://github.com/BerriAI/litellm/pull/13620), [Get Started](../../docs/providers/vllm#reasoning-effort) #### Bugs - **[OCI](../../docs/providers/oci)** - Fixed streaming issues - [PR #13437](https://github.com/BerriAI/litellm/pull/13437) - **[Ollama](../../docs/providers/ollama)** - Fixed GPT-OSS streaming with 'thinking' field - [PR #13375](https://github.com/BerriAI/litellm/pull/13375) - **[VolcEngine](../../docs/providers/volcengine)** - Fixed thinking disabled parameter handling - [PR #13598](https://github.com/BerriAI/litellm/pull/13598) - **[Streaming](../../docs/completion/stream)** - Consistent 'finish_reason' chunk indexing - [PR #13560](https://github.com/BerriAI/litellm/pull/13560) --- ## LLM API Endpoints #### Features - **[/messages](../../docs/anthropic/messages)** - Tool use arguments properly returned for non-anthropic models - [PR #13638](https://github.com/BerriAI/litellm/pull/13638) #### Bugs - **[Real-time API](../../docs/realtime)** - Fixed endpoint for no intent scenarios - [PR #13476](https://github.com/BerriAI/litellm/pull/13476) - **[Responses API](../../docs/response_api)** - Fixed `stream=True` + `background=True` with Responses API - [PR #13654](https://github.com/BerriAI/litellm/pull/13654) --- ## [MCP Gateway](../../docs/mcp) #### Features - **Access Control & Configuration** - Enhanced MCPServerManager with access groups and description support - [PR #13549](https://github.com/BerriAI/litellm/pull/13549) #### Bugs - **Authentication** - Fixed MCP gateway key authentication - [PR #13630](https://github.com/BerriAI/litellm/pull/13630) [Read More](../../docs/mcp) --- ## Management Endpoints / UI #### Features - **Team Management** - Team Member Rate Limits implementation - [PR #13601](https://github.com/BerriAI/litellm/pull/13601) - JWT authentication support for team member rate limits - [PR #13601](https://github.com/BerriAI/litellm/pull/13601) - Show team member TPM/RPM limits in UI - [PR #13662](https://github.com/BerriAI/litellm/pull/13662) - Allow editing team member RPM/TPM limits - [PR #13669](https://github.com/BerriAI/litellm/pull/13669) - Allow unsetting TPM and RPM in Teams Settings - [PR #13430](https://github.com/BerriAI/litellm/pull/13430) - Team Member Permissions Page access column changes - [PR #13145](https://github.com/BerriAI/litellm/pull/13145) - **Key Management** - Display errors from backend on the UI Keys page - [PR #13435](https://github.com/BerriAI/litellm/pull/13435) - Added confirmation modal before deleting keys - [PR #13655](https://github.com/BerriAI/litellm/pull/13655) - Support for `user` parameter in LiteLLM SDK to Proxy communication - [PR #13555](https://github.com/BerriAI/litellm/pull/13555) - **UI Improvements** - Fixed internal users table overflow - [PR #12736](https://github.com/BerriAI/litellm/pull/12736) - Enhanced chart readability with short-form notation for large numbers - [PR #12370](https://github.com/BerriAI/litellm/pull/12370) - Fixed image overflow in LiteLLM model display - [PR #13639](https://github.com/BerriAI/litellm/pull/13639) - Removed ambiguous network response errors - [PR #13582](https://github.com/BerriAI/litellm/pull/13582) - **Credentials** - Added CredentialDeleteModal component and integration with CredentialsPanel - [PR #13550](https://github.com/BerriAI/litellm/pull/13550) - **Admin & Permissions** - Allow routes for admin viewer - [PR #13588](https://github.com/BerriAI/litellm/pull/13588) #### Bugs - **SCIM Integration** - Fixed SCIM Team Memberships metadata handling - [PR #13553](https://github.com/BerriAI/litellm/pull/13553) - **Authentication** - Fixed incorrect key info endpoint - [PR #13633](https://github.com/BerriAI/litellm/pull/13633) --- ## Logging / Guardrail Integrations #### Features - **[Langfuse OTEL](../../docs/proxy/logging#langfuse)** - Added key/team logging for Langfuse OTEL Logger - [PR #13512](https://github.com/BerriAI/litellm/pull/13512) - Fixed LangfuseOtelSpanAttributes constants to match expected values - [PR #13659](https://github.com/BerriAI/litellm/pull/13659) - **[MLflow](../../docs/proxy/logging#mlflow)** - Updated MLflow logger usage span attributes - [PR #13561](https://github.com/BerriAI/litellm/pull/13561) #### Bugs - **Security** - Hide sensitive data in `/model/info` - azure entra client_secret - [PR #13577](https://github.com/BerriAI/litellm/pull/13577) - Fixed trivy/secrets false positives - [PR #13631](https://github.com/BerriAI/litellm/pull/13631) --- ## Performance / Loadbalancing / Reliability improvements #### Features - **HTTP Performance** - New 'EXPERIMENTAL_OPENAI_BASE_LLM_HTTP_HANDLER' flag for +100 RPS improvement on OpenAI calls - [PR #13625](https://github.com/BerriAI/litellm/pull/13625) - **Database Monitoring** - Added DB metrics to Prometheus - [PR #13626](https://github.com/BerriAI/litellm/pull/13626) - **Error Handling** - Added safe divide by 0 protection to prevent crashes - [PR #13624](https://github.com/BerriAI/litellm/pull/13624) #### Bugs - **Dependencies** - Updated boto3 to 1.36.0 and aioboto3 to 13.4.0 - [PR #13665](https://github.com/BerriAI/litellm/pull/13665) --- ## General Proxy Improvements #### Features - **Database** - Removed redundant `use_prisma_migrate` flag - now default - [PR #13555](https://github.com/BerriAI/litellm/pull/13555) - **LLM Translation** - Added model ID check - [PR #13507](https://github.com/BerriAI/litellm/pull/13507) - Refactored Anthropic configurations and added support for `anthropic_beta` headers - [PR #13590](https://github.com/BerriAI/litellm/pull/13590) --- ## New Contributors * @TensorNull made their first contribution in [PR #13458](https://github.com/BerriAI/litellm/pull/13458) * @MajorD00m made their first contribution in [PR #13577](https://github.com/BerriAI/litellm/pull/13577) * @VerunicaM made their first contribution in [PR #13584](https://github.com/BerriAI/litellm/pull/13584) * @huangyafei made their first contribution in [PR #13607](https://github.com/BerriAI/litellm/pull/13607) * @TomeHirata made their first contribution in [PR #13561](https://github.com/BerriAI/litellm/pull/13561) * @willfinnigan made their first contribution in [PR #13659](https://github.com/BerriAI/litellm/pull/13659) * @dcbark01 made their first contribution in [PR #13633](https://github.com/BerriAI/litellm/pull/13633) * @javacruft made their first contribution in [PR #13631](https://github.com/BerriAI/litellm/pull/13631) --- ## **[Full Changelog](https://github.com/BerriAI/litellm/compare/v1.75.5-stable.rc-draft...v1.75.8-nightly)**