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[Docs] 1.74.6.rc note (#12765)
* draft 1.74.6 * add correct models * fix * update moonshot pricing * docs * docs fix * changes till HELM * Helm Chart * upto circular references * docs Groq * fix typo * docs * docs fix * docs fix
This commit is contained in:
@@ -0,0 +1,333 @@
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---
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title: "v1.74.6"
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slug: "v1-74-6"
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date: 2025-07-19T10:00:00
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authors:
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- name: Krrish Dholakia
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title: CEO, LiteLLM
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url: https://www.linkedin.com/in/krish-d/
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image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
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- name: Ishaan Jaffer
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title: CTO, LiteLLM
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url: https://www.linkedin.com/in/reffajnaahsi/
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image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
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hide_table_of_contents: false
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---
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import Image from '@theme/IdealImage';
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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## Deploy this version
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<Tabs>
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<TabItem value="docker" label="Docker">
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``` showLineNumbers title="docker run litellm"
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docker run \
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-e STORE_MODEL_IN_DB=True \
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-p 4000:4000 \
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ghcr.io/berriai/litellm:v1.74.6
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```
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</TabItem>
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<TabItem value="pip" label="Pip">
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``` showLineNumbers title="pip install litellm"
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pip install litellm==1.74.6
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```
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</TabItem>
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</Tabs>
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---
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## Key Highlights
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- **Vector Stores** - Support for Vertex RAG Engine, PG Vector, OpenAI & Azure OpenAI Vector Stores.
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- **Health Check Improvements** - Separate health check app on dedicated port for better Kubernetes liveness probes.
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- **Control Plane + Data Plane Architecture** - Enhanced proxy architecture for better scalability and separation of concerns.
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- **New LLM Providers** - Added Moonshot API `moonshot` and `v0` provider support.
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---
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## MCP Gateway: Enhanced Namespacing
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v1.74.6 introduces improved URL-based namespacing for MCP servers, enabling better segregation and organization of MCP tools across different environments and teams.
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Key features include:
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- **URL-based namespacing**: Better isolation between different MCP server instances
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- **Access group improvements**: Enhanced management of MCP server access through configuration
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- **Tool permission management**: Improved object permissions when updating/deleting keys and teams
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Read more [here](https://docs.litellm.ai/docs/mcp#grouping-mcps-access-groups)
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---
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## Vector Stores API
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v1.74.6 introduces OpenAI-compatible vector store endpoints, bringing powerful vector search capabilities to the LiteLLM proxy.
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**New Endpoints:**
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- `/v1/vector_stores` - Create and manage vector stores
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- `/v1/vector_stores/{vector_store_id}/search` - Perform vector searches
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**Supported Providers:**
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- **Vertex RAG Engine** - Google's managed RAG solution
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- **PG Vector** - PostgreSQL vector extension support
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- **OpenAI Vector Stores** - Full OpenAI compatibility
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- **Azure AI Search** - Microsoft's vector search service
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This enables developers to easily integrate vector search capabilities into their applications while maintaining compatibility with OpenAI's vector store API.
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[Get started](../../docs/proxy/vector_stores)
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---
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## Control Plane + Data Plane Architecture
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---
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## New Models / Updated Models
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#### Pricing / Context Window Updates
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| Provider | Model | Context Window | Input ($/1M tokens) | Output ($/1M tokens) |
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| ----------- | -------------------------------------- | -------------- | ------------------- | -------------------- |
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| Azure AI | `azure_ai/grok-3` | 131k | $3.30 | $16.50 |
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| Azure AI | `azure_ai/global/grok-3` | 131k | $3.00 | $15.00 |
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| Azure AI | `azure_ai/global/grok-3-mini` | 131k | $0.25 | $1.27 |
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| Azure AI | `azure_ai/grok-3-mini` | 131k | $0.275 | $1.38 |
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| Azure AI | `azure_ai/jais-30b-chat` | 8k | $3200 | $9710 |
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| Groq | `groq/moonshotai-kimi-k2-instruct` | 131k | $1.00 | $3.00 |
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| AI21 | `jamba-large-1.7` | 256k | $2.00 | $8.00 |
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| AI21 | `jamba-mini-1.7` | 256k | $0.20 | $0.40 |
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| Together.ai | `together_ai/moonshotai/Kimi-K2-Instruct` | 131k | $1.00 | $3.00 |
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| v0 | `v0/v0-1.0-md` | 128k | $3.00 | $15.00 |
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| v0 | `v0/v0-1.5-md` | 128k | $3.00 | $15.00 |
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| v0 | `v0/v0-1.5-lg` | 512k | $15.00 | $75.00 |
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| Moonshot | `moonshot/moonshot-v1-8k` | 8k | $0.20 | $2.00 |
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| Moonshot | `moonshot/moonshot-v1-32k` | 32k | $1.00 | $3.00 |
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| Moonshot | `moonshot/moonshot-v1-128k` | 131k | $2.00 | $5.00 |
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| Moonshot | `moonshot/moonshot-v1-auto` | 131k | $2.00 | $5.00 |
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| Moonshot | `moonshot/kimi-k2-0711-preview` | 131k | $0.60 | $2.50 |
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| Moonshot | `moonshot/moonshot-v1-32k-0430` | 32k | $1.00 | $3.00 |
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| Moonshot | `moonshot/moonshot-v1-128k-0430` | 131k | $2.00 | $5.00 |
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| Moonshot | `moonshot/moonshot-v1-8k-0430` | 8k | $0.20 | $2.00 |
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| Moonshot | `moonshot/kimi-latest` | 131k | $2.00 | $5.00 |
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| Moonshot | `moonshot/kimi-latest-8k` | 8k | $0.20 | $2.00 |
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| Moonshot | `moonshot/kimi-latest-32k` | 32k | $1.00 | $3.00 |
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| Moonshot | `moonshot/kimi-latest-128k` | 131k | $2.00 | $5.00 |
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| Moonshot | `moonshot/kimi-thinking-preview` | 131k | $30.00 | $30.00 |
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| Moonshot | `moonshot/moonshot-v1-8k-vision-preview` | 8k | $0.20 | $2.00 |
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| Moonshot | `moonshot/moonshot-v1-32k-vision-preview` | 32k | $1.00 | $3.00 |
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| Moonshot | `moonshot/moonshot-v1-128k-vision-preview` | 131k | $2.00 | $5.00 |
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#### Features
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- **[🆕 Moonshot API (Kimi)](../../docs/providers/moonshot)**
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- New LLM API integration for accessing Kimi models - [PR #12592](https://github.com/BerriAI/litellm/pull/12592), [Get Started](../../docs/providers/moonshot)
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- **[🆕 v0 Provider](../../docs/providers/v0)**
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- New provider integration for v0.dev - [PR #12751](https://github.com/BerriAI/litellm/pull/12751), [Get Started](../../docs/providers/v0)
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- **[OpenAI](../../docs/providers/openai)**
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- Use OpenAI DeepResearch models with `litellm.completion` (`/chat/completions`) - [PR #12627](https://github.com/BerriAI/litellm/pull/12627) **DOC NEEDED**
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- Add `input_fidelity` parameter for OpenAI image generation - [PR #12662](https://github.com/BerriAI/litellm/pull/12662), [Get Started](../../docs/image_generation)
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- **[Azure OpenAI](../../docs/providers/azure_openai)**
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- Use Azure OpenAI DeepResearch models with `litellm.completion` (`/chat/completions`) - [PR #12627](https://github.com/BerriAI/litellm/pull/12627) **DOC NEEDED**
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- Added `response_format` support for openai gpt-4.1 models - [PR #12745](https://github.com/BerriAI/litellm/pull/12745)
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- **[Anthropic](../../docs/providers/anthropic)**
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- Tool cache control support - [PR #12668](https://github.com/BerriAI/litellm/pull/12668)
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- **[Bedrock](../../docs/providers/bedrock)**
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- Claude 4 /invoke route support - [PR #12599](https://github.com/BerriAI/litellm/pull/12599), [Get Started](../../docs/providers/bedrock)
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- Application inference profile tool choice support - [PR #12599](https://github.com/BerriAI/litellm/pull/12599)
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- **[Gemini](../../docs/providers/gemini)**
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- Custom TTL support for context caching - [PR #12541](https://github.com/BerriAI/litellm/pull/12541)
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- Fix implicit caching cost calculation for Gemini 2.x models - [PR #12585](https://github.com/BerriAI/litellm/pull/12585)
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- **[VertexAI](../../docs/providers/vertex)**
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- Added Vertex AI RAG Engine support (use with OpenAI compatible `/vector_stores` API) - [PR #12752](https://github.com/BerriAI/litellm/pull/12595), **DOC NEEDED**
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- **[vLLM](../../docs/providers/vllm)**
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- Added support for using Rerank endpoints with vLLM - [PR #12738](https://github.com/BerriAI/litellm/pull/12738), **Doc Needed**
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- **[AI21](../../docs/providers/ai21)**
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- Added ai21/jamba-1.7 model family pricing - [PR #12593](https://github.com/BerriAI/litellm/pull/12593), [Get Started](../../docs/providers/ai21)
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- **[Together.ai](../../docs/providers/together_ai)**
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- [New Model] add together_ai/moonshotai/Kimi-K2-Instruct - [PR #12645](https://github.com/BerriAI/litellm/pull/12645), [Get Started](../../docs/providers/together_ai)
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- **[Groq](../../docs/providers/groq)**
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- Add groq/moonshotai-kimi-k2-instruct model configuration - [PR #12648](https://github.com/BerriAI/litellm/pull/12648), [Get Started](../../docs/providers/groq)
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- **[Github Copilot](../../docs/providers/github_copilot)**
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- Change System prompts to assistant prompts for GH Copilot - [PR #12742](https://github.com/BerriAI/litellm/pull/12742), [Get Started](../../docs/providers/github_copilot)
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#### Bugs
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- **[Anthropic](../../docs/providers/anthropic)**
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- Fix streaming + response_format + tools bug - [PR #12463](https://github.com/BerriAI/litellm/pull/12463)
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- **[XAI](../../docs/providers/xai)**
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- grok-4 does not support the `stop` param - [PR #12646](https://github.com/BerriAI/litellm/pull/12646)
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- **[AWS](../../docs/providers/bedrock)**
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- Role chaining with web authentication for AWS Bedrock - [PR #12607](https://github.com/BerriAI/litellm/pull/12607)
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- **[VertexAI](../../docs/providers/vertex)**
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- Add project_id to cached credentials - [PR #12661](https://github.com/BerriAI/litellm/pull/12661)
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- **[Bedrock](../../docs/providers/bedrock)**
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- Fix bedrock nova micro and nova lite context window info in [PR #12619](https://github.com/BerriAI/litellm/pull/12619)
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---
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## LLM API Endpoints
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#### Features
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- **[/chat/completions](../../docs/completion/input)**
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- Include tool calls in output of trim_messages - [PR #11517](https://github.com/BerriAI/litellm/pull/11517)
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- **[/v1/vector_stores](../../docs/proxy/vector_stores)**
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- New OpenAI-compatible vector store endpoints - [PR #12699](https://github.com/BerriAI/litellm/pull/12699)
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- Vector store search endpoint - [PR #12749](https://github.com/BerriAI/litellm/pull/12749)
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- Support for using PG Vector as a vector store - [PR #12667](https://github.com/BerriAI/litellm/pull/12667)
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- **[/streamGenerateContent](../../docs/image_generation#streamgeneratecontent)**
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- Non-gemini model support - [PR #12647](https://github.com/BerriAI/litellm/pull/12647)
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#### Bugs
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- **[/vector_stores](../../docs/proxy/vector_stores)**
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- Knowledge Base Call returning error when passing as `tools` - [PR #12628](https://github.com/BerriAI/litellm/pull/12628)
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---
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## [MCP Gateway](../../docs/mcp)
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#### Features
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- **[Access Groups](../../docs/mcp#grouping-mcps-access-groups)**
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- Allow MCP access groups to be added via litellm proxy config.yaml - [PR #12654](https://github.com/BerriAI/litellm/pull/12654)
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- List tools from access list for keys - [PR #12657](https://github.com/BerriAI/litellm/pull/12657)
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- **[Namespacing](../../docs/mcp#mcp-namespacing)**
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- URL-based namespacing for better segregation - [PR #12658](https://github.com/BerriAI/litellm/pull/12658)
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- Make MCP_TOOL_PREFIX_SEPARATOR configurable from env - [PR #12603](https://github.com/BerriAI/litellm/pull/12603)
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- **[Gateway Features](../../docs/mcp#mcp-gateway-features)**
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- Allow using MCPs with all LLM APIs (VertexAI, Gemini, Groq, etc.) when using /responses - [PR #12546](https://github.com/BerriAI/litellm/pull/12546)
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#### Bugs
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- Fix to update object permission on update/delete key/team - [PR #12701](https://github.com/BerriAI/litellm/pull/12701)
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- Include /mcp in list of available routes on proxy - [PR #12612](https://github.com/BerriAI/litellm/pull/12612)
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---
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## Management Endpoints / UI
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#### Features
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- **Keys**
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- Regenerate Key State Management improvements - [PR #12729](https://github.com/BerriAI/litellm/pull/12729)
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- **Models**
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- Wildcard model filter support - [PR #12597](https://github.com/BerriAI/litellm/pull/12597)
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- Fixes for handling team only models on UI - [PR #12632](https://github.com/BerriAI/litellm/pull/12632)
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- **Usage Page**
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- Fix Y-axis labels overlap on Spend per Tag chart - [PR #12754](https://github.com/BerriAI/litellm/pull/12754)
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- **Teams**
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- Allow setting custom key duration + show key creation stats - [PR #12722](https://github.com/BerriAI/litellm/pull/12722)
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- Enable team admins to update member roles - [PR #12629](https://github.com/BerriAI/litellm/pull/12629)
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- **Users**
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- New `/user/bulk_update` endpoint - [PR #12720](https://github.com/BerriAI/litellm/pull/12720)
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- **Logs Page**
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- Add `end_user` filter on UI Logs Page - [PR #12663](https://github.com/BerriAI/litellm/pull/12663)
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- **MCP Servers**
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- Copy MCP Server name functionality - [PR #12760](https://github.com/BerriAI/litellm/pull/12760)
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- **Vector Stores**
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- UI support for clicking into Vector Stores - [PR #12741](https://github.com/BerriAI/litellm/pull/12741)
|
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- Allow adding Vertex RAG Engine, OpenAI, Azure through UI - [PR #12752](https://github.com/BerriAI/litellm/pull/12752)
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|
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- **General**
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- Add Copy-on-Click for all IDs (Key, Team, Organization, MCP Server) - [PR #12615](https://github.com/BerriAI/litellm/pull/12615)
|
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- **[SCIM](../../docs/proxy/scim)**
|
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- Add GET /ServiceProviderConfig endpoint - [PR #12664](https://github.com/BerriAI/litellm/pull/12664)
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#### Bugs
|
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- **Teams**
|
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- Ensure user id correctly added when creating new teams - [PR #12719](https://github.com/BerriAI/litellm/pull/12719)
|
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- Fixes for handling team-only models on UI - [PR #12632](https://github.com/BerriAI/litellm/pull/12632)
|
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|
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---
|
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## Logging / Guardrail Integrations
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|
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#### Features
|
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- **[Google Cloud Model Armor](../../docs/proxy/guardrails/google_cloud_model_armor)**
|
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- New guardrails integration - [PR #12492](https://github.com/BerriAI/litellm/pull/12492)
|
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- **[Bedrock Guardrails](../../docs/proxy/guardrails/bedrock)**
|
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- Allow disabling exception on 'BLOCKED' action - [PR #12693](https://github.com/BerriAI/litellm/pull/12693)
|
||||
- **[Guardrails AI](../../docs/proxy/guardrails/guardrails_ai)**
|
||||
- Support `llmOutput` based guardrails as pre-call hooks - [PR #12674](https://github.com/BerriAI/litellm/pull/12674)
|
||||
- **[DataDog LLM Observability](../../docs/proxy/logging#datadog)**
|
||||
- Add support for tracking the correct span type based on LLM Endpoint used - [PR #12652](https://github.com/BerriAI/litellm/pull/12652)
|
||||
- **[Custom Logging](../../docs/proxy/logging)**
|
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- Allow reading custom logger python scripts from S3 or GCS Bucket - [PR #12623](https://github.com/BerriAI/litellm/pull/12623)
|
||||
|
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#### Bugs
|
||||
- **[General Logging](../../docs/proxy/logging)**
|
||||
- StandardLoggingPayload on cache_hits should track custom llm provider - [PR #12652](https://github.com/BerriAI/litellm/pull/12652)
|
||||
- **[S3 Buckets](../../docs/proxy/logging#s3-buckets)**
|
||||
- S3 v2 log uploader crashes when using with guardrails - [PR #12733](https://github.com/BerriAI/litellm/pull/12733)
|
||||
|
||||
---
|
||||
|
||||
## Performance / Loadbalancing / Reliability improvements
|
||||
|
||||
#### Features
|
||||
- **Health Checks**
|
||||
- Separate health app for liveness probes - [PR #12669](https://github.com/BerriAI/litellm/pull/12669)
|
||||
- Health check app on separate port - [PR #12718](https://github.com/BerriAI/litellm/pull/12718)
|
||||
- **Caching**
|
||||
- Add Azure Blob cache support - [PR #12587](https://github.com/BerriAI/litellm/pull/12587)
|
||||
- **Router**
|
||||
- Handle ZeroDivisionError with zero completion tokens in lowest_latency strategy - [PR #12734](https://github.com/BerriAI/litellm/pull/12734)
|
||||
|
||||
#### Bugs
|
||||
- **Database**
|
||||
- Use upsert for managed object table to avoid UniqueViolationError - [PR #11795](https://github.com/BerriAI/litellm/pull/11795)
|
||||
- Refactor to support use_prisma_migrate for helm hook - [PR #12600](https://github.com/BerriAI/litellm/pull/12600)
|
||||
- **Cache**
|
||||
- Fix: redis caching for embedding response models - [PR #12750](https://github.com/BerriAI/litellm/pull/12750)
|
||||
|
||||
---
|
||||
|
||||
## Helm Chart
|
||||
|
||||
- DB Migration Hook: refactor to support use_prisma_migrate - for helm hook [PR](https://github.com/BerriAI/litellm/pull/12600)
|
||||
- Add envVars and extraEnvVars support to Helm migrations job - [PR #12591](https://github.com/BerriAI/litellm/pull/12591)
|
||||
|
||||
## General Proxy Improvements
|
||||
|
||||
#### Features
|
||||
- **Control Plane + Data Plane Architecture**
|
||||
- Control Plane + Data Plane support - [PR #12601](https://github.com/BerriAI/litellm/pull/12601)
|
||||
- **Proxy CLI**
|
||||
- Add "keys import" command to CLI - [PR #12620](https://github.com/BerriAI/litellm/pull/12620)
|
||||
- **Swagger Documentation**
|
||||
- Add swagger docs for LiteLLM /chat/completions, /embeddings, /responses - [PR #12618](https://github.com/BerriAI/litellm/pull/12618)
|
||||
- **Dependencies**
|
||||
- Loosen rich version from ==13.7.1 to >=13.7.1 - [PR #12704](https://github.com/BerriAI/litellm/pull/12704)
|
||||
|
||||
|
||||
#### Bugs
|
||||
|
||||
- Verbose log is enabled by default fix - [PR #12596](https://github.com/BerriAI/litellm/pull/12596)
|
||||
|
||||
- Add support for disabling callbacks in request body - [PR #12762](https://github.com/BerriAI/litellm/pull/12762)
|
||||
- Handle circular references in spend tracking metadata JSON serialization - [PR #12643](https://github.com/BerriAI/litellm/pull/12643)
|
||||
|
||||
---
|
||||
|
||||
## New Contributors
|
||||
* @AntonioKL made their first contribution in https://github.com/BerriAI/litellm/pull/12591
|
||||
* @marcelodiaz558 made their first contribution in https://github.com/BerriAI/litellm/pull/12541
|
||||
* @dmcaulay made their first contribution in https://github.com/BerriAI/litellm/pull/12463
|
||||
* @demoray made their first contribution in https://github.com/BerriAI/litellm/pull/12587
|
||||
* @staeiou made their first contribution in https://github.com/BerriAI/litellm/pull/12631
|
||||
* @stefanc-ai2 made their first contribution in https://github.com/BerriAI/litellm/pull/12622
|
||||
* @RichardoC made their first contribution in https://github.com/BerriAI/litellm/pull/12607
|
||||
* @yeahyung made their first contribution in https://github.com/BerriAI/litellm/pull/11795
|
||||
* @mnguyen96 made their first contribution in https://github.com/BerriAI/litellm/pull/12619
|
||||
* @rgambee made their first contribution in https://github.com/BerriAI/litellm/pull/11517
|
||||
* @jvanmelckebeke made their first contribution in https://github.com/BerriAI/litellm/pull/12725
|
||||
* @jlaurendi made their first contribution in https://github.com/BerriAI/litellm/pull/12704
|
||||
* @doublerr made their first contribution in https://github.com/BerriAI/litellm/pull/12661
|
||||
|
||||
## **[Full Changelog](https://github.com/BerriAI/litellm/compare/v1.74.3-stable...v1.74.6.rc)**
|
||||
@@ -13509,6 +13509,9 @@
|
||||
"together_ai/deepseek-ai/DeepSeek-V3": {
|
||||
"input_cost_per_token": 1.25e-06,
|
||||
"output_cost_per_token": 1.25e-06,
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 65536,
|
||||
"max_output_tokens": 8192,
|
||||
"litellm_provider": "together_ai",
|
||||
"supports_function_calling": true,
|
||||
"supports_parallel_function_calling": true,
|
||||
@@ -13518,6 +13521,9 @@
|
||||
"together_ai/deepseek-ai/DeepSeek-R1": {
|
||||
"input_cost_per_token": 3e-06,
|
||||
"output_cost_per_token": 7e-06,
|
||||
"max_tokens": 20480,
|
||||
"max_input_tokens": 128000,
|
||||
"max_output_tokens": 20480,
|
||||
"litellm_provider": "together_ai",
|
||||
"supports_function_calling": true,
|
||||
"supports_parallel_function_calling": true,
|
||||
@@ -16194,6 +16200,8 @@
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16204,6 +16212,8 @@
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16214,6 +16224,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16224,6 +16236,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16248,6 +16262,8 @@
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16258,6 +16274,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16268,10 +16286,118 @@
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-8k": {
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-32k": {
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-128k": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-thinking-preview": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 3e-05,
|
||||
"output_cost_per_token": 3e-05,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-8k-vision-preview": {
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-32k-vision-preview": {
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-128k-vision-preview": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,3 +6,17 @@ model_list:
|
||||
litellm_params:
|
||||
model: openai/*
|
||||
|
||||
|
||||
guardrails:
|
||||
- guardrail_name: "bedrock-post-guard"
|
||||
litellm_params:
|
||||
guardrail: bedrock # supported values: "aporia", "bedrock", "lakera"
|
||||
mode: "post_call"
|
||||
guardrailIdentifier: ff6ujrregl1q
|
||||
guardrailVersion: "DRAFT"
|
||||
default_on: true
|
||||
|
||||
litellm_settings:
|
||||
callbacks: ["datadog_llm_observability"]
|
||||
cache: true
|
||||
|
||||
|
||||
@@ -13509,6 +13509,9 @@
|
||||
"together_ai/deepseek-ai/DeepSeek-V3": {
|
||||
"input_cost_per_token": 1.25e-06,
|
||||
"output_cost_per_token": 1.25e-06,
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 65536,
|
||||
"max_output_tokens": 8192,
|
||||
"litellm_provider": "together_ai",
|
||||
"supports_function_calling": true,
|
||||
"supports_parallel_function_calling": true,
|
||||
@@ -13518,6 +13521,9 @@
|
||||
"together_ai/deepseek-ai/DeepSeek-R1": {
|
||||
"input_cost_per_token": 3e-06,
|
||||
"output_cost_per_token": 7e-06,
|
||||
"max_tokens": 20480,
|
||||
"max_input_tokens": 128000,
|
||||
"max_output_tokens": 20480,
|
||||
"litellm_provider": "together_ai",
|
||||
"supports_function_calling": true,
|
||||
"supports_parallel_function_calling": true,
|
||||
@@ -16194,6 +16200,8 @@
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16204,6 +16212,8 @@
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16214,6 +16224,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16224,6 +16236,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16248,6 +16262,8 @@
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16258,6 +16274,8 @@
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
@@ -16268,10 +16286,118 @@
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-8k": {
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-32k": {
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-latest-128k": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"cache_read_input_token_cost": 1.5e-07,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/kimi-thinking-preview": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 3e-05,
|
||||
"output_cost_per_token": 3e-05,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-8k-vision-preview": {
|
||||
"max_tokens": 8192,
|
||||
"max_input_tokens": 8192,
|
||||
"max_output_tokens": 8192,
|
||||
"input_cost_per_token": 2e-07,
|
||||
"output_cost_per_token": 2e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-32k-vision-preview": {
|
||||
"max_tokens": 32768,
|
||||
"max_input_tokens": 32768,
|
||||
"max_output_tokens": 32768,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
},
|
||||
"moonshot/moonshot-v1-128k-vision-preview": {
|
||||
"max_tokens": 131072,
|
||||
"max_input_tokens": 131072,
|
||||
"max_output_tokens": 131072,
|
||||
"input_cost_per_token": 2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "moonshot",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"mode": "chat",
|
||||
"source": "https://platform.moonshot.ai/docs/pricing"
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user