mirror of
https://github.com/arch3rPro/1Panel-Appstore.git
synced 2026-04-14 16:07:13 +08:00
Fix: remove LiteLLM
This commit is contained in:
arch3rPro
@@ -28,7 +28,6 @@
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- 不对任何原始镜像的有效性做出任何明示或暗示的保证或声明，安全性和风险自查
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- 个人仓库，可以Fork后自行更新，但是严禁未经授权，私自删除个人信息后合并发布
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### 🚀 使用方法
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#### 📋 添加脚本到 1Panel 计划任务
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@@ -102,7 +101,6 @@ docker run -d --name=nginx -p 80:80 nginx:latest
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- `README_en.md` - 英文文档
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- `logo.png` - 应用图标
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### 📱 应用列表
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以下是当前在本仓库中提供的应用列表及其版本信息，**点击应用名称可查看应用详细介绍文档**
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@@ -112,7 +110,7 @@ docker run -d --name=nginx -p 80:80 nginx:latest
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- 支持一键部署AI免费API接口，使用方式请参考应用内**README介绍**
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- **Free-API系列应用已下架，原项目由于供应链投毒，被植入恶意代码，请及时停止运行并删除这些服务！！！**
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- 经过几天的排查和重构，已重新上架[GLM-Free-API](https://github.com/xiaoY233/GLM-Free-API)、[MiniMax-Free-API](https://github.com/xiaoY233/MiniMax-Free-API)、[Qwen-Free-API](https://github.com/xiaoY233/Qwen-Free-API)、[Kimi-Free-API](https://github.com/xiaoY233/Kimi-Free-API)，[DeepSeek-Free-API](https://github.com/xiaoY233/DeepSeek-Free-API),欢迎各位对源码进行审查，如果不放心，建议还是暂停使用！
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- 其他的Free-API系列看情况再搞了,后续主要更新上述几个Free-API兼容Gemini-cli和Claude的API接入。
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- LiteLLM应用原项目又出现了供应链投毒事件，**请及时停止运行并删除该服务，友情提示：为了避免泄漏的API密钥被滥用，请从你的AI供应商中删除或禁止使用相关密钥！！！**
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<table>
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<tr>
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@@ -1266,7 +1264,6 @@ AI驱动的开源代码知识库与文档协作平台，支持多模型、多数
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</tr>
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</table>
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<!-- 橙色风格 -->
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!\[Copyright-arch3rPro]\(<https://img.shields.io/badge/Copyright-arch3rPro-ff9800?style=flat&logo=github&logoColor=white> null)
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@@ -1,444 +0,0 @@
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<h1 align="center">
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🚅 LiteLLM
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</h1>
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<p align="center">
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<p align="center">
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<a href="https://render.com/deploy?repo=https://github.com/BerriAI/litellm" target="_blank" rel="nofollow"><img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render"></a>
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<a href="https://railway.app/template/HLP0Ub?referralCode=jch2ME">
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<img src="https://railway.app/button.svg" alt="Deploy on Railway">
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</a>
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</p>
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<p align="center">Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.]
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<br>
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</p>
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<h4 align="center"><a href="https://docs.litellm.ai/docs/simple_proxy" target="_blank">LiteLLM Proxy Server (LLM Gateway)</a> | <a href="https://docs.litellm.ai/docs/hosted" target="_blank"> Hosted Proxy (Preview)</a> | <a href="https://docs.litellm.ai/docs/enterprise"target="_blank">Enterprise Tier</a></h4>
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<h4 align="center">
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<a href="https://pypi.org/project/litellm/" target="_blank">
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<img src="https://img.shields.io/pypi/v/litellm.svg" alt="PyPI Version">
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</a>
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<a href="https://www.ycombinator.com/companies/berriai">
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<img src="https://img.shields.io/badge/Y%20Combinator-W23-orange?style=flat-square" alt="Y Combinator W23">
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</a>
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<a href="https://wa.link/huol9n">
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<img src="https://img.shields.io/static/v1?label=Chat%20on&message=WhatsApp&color=success&logo=WhatsApp&style=flat-square" alt="Whatsapp">
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</a>
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<a href="https://discord.gg/wuPM9dRgDw">
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<img src="https://img.shields.io/static/v1?label=Chat%20on&message=Discord&color=blue&logo=Discord&style=flat-square" alt="Discord">
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</a>
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<a href="https://www.litellm.ai/support">
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<img src="https://img.shields.io/static/v1?label=Chat%20on&message=Slack&color=black&logo=Slack&style=flat-square" alt="Slack">
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</a>
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</h4>
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LiteLLM manages:
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- Translate inputs to provider's `completion`, `embedding`, and `image_generation` endpoints
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- [Consistent output](https://docs.litellm.ai/docs/completion/output), text responses will always be available at `['choices'][0]['message']['content']`
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- Retry/fallback logic across multiple deployments (e.g. Azure/OpenAI) - [Router](https://docs.litellm.ai/docs/routing)
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- Set Budgets & Rate limits per project, api key, model [LiteLLM Proxy Server (LLM Gateway)](https://docs.litellm.ai/docs/simple_proxy)
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[**Jump to LiteLLM Proxy (LLM Gateway) Docs**](https://github.com/BerriAI/litellm?tab=readme-ov-file#litellm-proxy-server-llm-gateway---docs) <br>
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[**Jump to Supported LLM Providers**](https://github.com/BerriAI/litellm?tab=readme-ov-file#supported-providers-docs)
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🚨 **Stable Release:** Use docker images with the `-stable` tag. These have undergone 12 hour load tests, before being published. [More information about the release cycle here](https://docs.litellm.ai/docs/proxy/release_cycle)
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Support for more providers. Missing a provider or LLM Platform, raise a [feature request](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.yml&title=%5BFeature%5D%3A+).
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# Usage ([**Docs**](https://docs.litellm.ai/docs/))
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> [!IMPORTANT]
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> LiteLLM v1.0.0 now requires `openai>=1.0.0`. Migration guide [here](https://docs.litellm.ai/docs/migration)
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> LiteLLM v1.40.14+ now requires `pydantic>=2.0.0`. No changes required.
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<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_Getting_Started.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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```shell
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pip install litellm
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```
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```python
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from litellm import completion
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import os
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## set ENV variables
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os.environ["OPENAI_API_KEY"] = "your-openai-key"
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os.environ["ANTHROPIC_API_KEY"] = "your-anthropic-key"
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messages = [{ "content": "Hello, how are you?","role": "user"}]
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# openai call
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response = completion(model="openai/gpt-4o", messages=messages)
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# anthropic call
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response = completion(model="anthropic/claude-sonnet-4-20250514", messages=messages)
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print(response)
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```
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### Response (OpenAI Format)
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```json
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{
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"id": "chatcmpl-1214900a-6cdd-4148-b663-b5e2f642b4de",
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"created": 1751494488,
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"model": "claude-sonnet-4-20250514",
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"object": "chat.completion",
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"system_fingerprint": null,
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"choices": [
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{
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"finish_reason": "stop",
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"index": 0,
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"message": {
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"content": "Hello! I'm doing well, thank you for asking. I'm here and ready to help with whatever you'd like to discuss or work on. How are you doing today?",
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"role": "assistant",
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"tool_calls": null,
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"function_call": null
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}
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}
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],
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"usage": {
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"completion_tokens": 39,
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"prompt_tokens": 13,
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"total_tokens": 52,
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"completion_tokens_details": null,
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"prompt_tokens_details": {
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"audio_tokens": null,
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"cached_tokens": 0
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},
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"cache_creation_input_tokens": 0,
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"cache_read_input_tokens": 0
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}
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}
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```
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Call any model supported by a provider, with `model=<provider_name>/<model_name>`. There might be provider-specific details here, so refer to [provider docs for more information](https://docs.litellm.ai/docs/providers)
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## Async ([Docs](https://docs.litellm.ai/docs/completion/stream#async-completion))
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```python
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from litellm import acompletion
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import asyncio
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async def test_get_response():
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user_message = "Hello, how are you?"
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messages = [{"content": user_message, "role": "user"}]
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response = await acompletion(model="openai/gpt-4o", messages=messages)
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return response
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response = asyncio.run(test_get_response())
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print(response)
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```
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## Streaming ([Docs](https://docs.litellm.ai/docs/completion/stream))
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liteLLM supports streaming the model response back, pass `stream=True` to get a streaming iterator in response.
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Streaming is supported for all models (Bedrock, Huggingface, TogetherAI, Azure, OpenAI, etc.)
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```python
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from litellm import completion
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response = completion(model="openai/gpt-4o", messages=messages, stream=True)
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for part in response:
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print(part.choices[0].delta.content or "")
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# claude sonnet 4
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response = completion('anthropic/claude-sonnet-4-20250514', messages, stream=True)
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for part in response:
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print(part)
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```
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### Response chunk (OpenAI Format)
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```json
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{
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"id": "chatcmpl-fe575c37-5004-4926-ae5e-bfbc31f356ca",
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"created": 1751494808,
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"model": "claude-sonnet-4-20250514",
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"object": "chat.completion.chunk",
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"system_fingerprint": null,
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"choices": [
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{
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"finish_reason": null,
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"index": 0,
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"delta": {
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"provider_specific_fields": null,
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"content": "Hello",
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"role": "assistant",
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"function_call": null,
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"tool_calls": null,
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"audio": null
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},
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"logprobs": null
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}
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],
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"provider_specific_fields": null,
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"stream_options": null,
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"citations": null
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}
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```
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## Logging Observability ([Docs](https://docs.litellm.ai/docs/observability/callbacks))
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LiteLLM exposes pre defined callbacks to send data to Lunary, MLflow, Langfuse, DynamoDB, s3 Buckets, Helicone, Promptlayer, Traceloop, Athina, Slack
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```python
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from litellm import completion
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## set env variables for logging tools (when using MLflow, no API key set up is required)
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os.environ["LUNARY_PUBLIC_KEY"] = "your-lunary-public-key"
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os.environ["HELICONE_API_KEY"] = "your-helicone-auth-key"
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os.environ["LANGFUSE_PUBLIC_KEY"] = ""
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os.environ["LANGFUSE_SECRET_KEY"] = ""
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os.environ["ATHINA_API_KEY"] = "your-athina-api-key"
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os.environ["OPENAI_API_KEY"] = "your-openai-key"
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# set callbacks
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litellm.success_callback = ["lunary", "mlflow", "langfuse", "athina", "helicone"] # log input/output to lunary, langfuse, supabase, athina, helicone etc
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#openai call
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response = completion(model="openai/gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
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```
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# LiteLLM Proxy Server (LLM Gateway) - ([Docs](https://docs.litellm.ai/docs/simple_proxy))
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Track spend + Load Balance across multiple projects
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[Hosted Proxy (Preview)](https://docs.litellm.ai/docs/hosted)
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The proxy provides:
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1. [Hooks for auth](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
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2. [Hooks for logging](https://docs.litellm.ai/docs/proxy/logging#step-1---create-your-custom-litellm-callback-class)
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3. [Cost tracking](https://docs.litellm.ai/docs/proxy/virtual_keys#tracking-spend)
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4. [Rate Limiting](https://docs.litellm.ai/docs/proxy/users#set-rate-limits)
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## 📖 Proxy Endpoints - [Swagger Docs](https://litellm-api.up.railway.app/)
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## Quick Start Proxy - CLI
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```shell
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pip install 'litellm[proxy]'
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```
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### Step 1: Start litellm proxy
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```shell
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$ litellm --model huggingface/bigcode/starcoder
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#INFO: Proxy running on http://0.0.0.0:4000
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```
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### Step 2: Make ChatCompletions Request to Proxy
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> [!IMPORTANT]
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> 💡 [Use LiteLLM Proxy with Langchain (Python, JS), OpenAI SDK (Python, JS) Anthropic SDK, Mistral SDK, LlamaIndex, Instructor, Curl](https://docs.litellm.ai/docs/proxy/user_keys)
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```python
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import openai # openai v1.0.0+
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client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:4000") # set proxy to base_url
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# request sent to model set on litellm proxy, `litellm --model`
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response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
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{
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"role": "user",
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"content": "this is a test request, write a short poem"
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}
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])
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print(response)
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```
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## Proxy Key Management ([Docs](https://docs.litellm.ai/docs/proxy/virtual_keys))
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Connect the proxy with a Postgres DB to create proxy keys
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```bash
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# Get the code
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git clone https://github.com/BerriAI/litellm
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# Go to folder
|
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cd litellm
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|
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# Add the master key - you can change this after setup
|
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echo 'LITELLM_MASTER_KEY="sk-1234"' > .env
|
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|
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# Add the litellm salt key - you cannot change this after adding a model
|
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# It is used to encrypt / decrypt your LLM API Key credentials
|
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# We recommend - https://1password.com/password-generator/
|
||||
# password generator to get a random hash for litellm salt key
|
||||
echo 'LITELLM_SALT_KEY="sk-1234"' >> .env
|
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|
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source .env
|
||||
|
||||
# Start
|
||||
docker compose up
|
||||
```
|
||||
|
||||
|
||||
UI on `/ui` on your proxy server
|
||||
|
||||
|
||||
Set budgets and rate limits across multiple projects
|
||||
`POST /key/generate`
|
||||
|
||||
### Request
|
||||
|
||||
```shell
|
||||
curl 'http://0.0.0.0:4000/key/generate' \
|
||||
--header 'Authorization: Bearer sk-1234' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{"models": ["gpt-3.5-turbo", "gpt-4", "claude-2"], "duration": "20m","metadata": {"user": "ishaan@berri.ai", "team": "core-infra"}}'
|
||||
```
|
||||
|
||||
### Expected Response
|
||||
|
||||
```shell
|
||||
{
|
||||
"key": "sk-kdEXbIqZRwEeEiHwdg7sFA", # Bearer token
|
||||
"expires": "2023-11-19T01:38:25.838000+00:00" # datetime object
|
||||
}
|
||||
```
|
||||
|
||||
## Supported Providers ([Docs](https://docs.litellm.ai/docs/providers))
|
||||
|
||||
| Provider | [Completion](https://docs.litellm.ai/docs/#basic-usage) | [Streaming](https://docs.litellm.ai/docs/completion/stream#streaming-responses) | [Async Completion](https://docs.litellm.ai/docs/completion/stream#async-completion) | [Async Streaming](https://docs.litellm.ai/docs/completion/stream#async-streaming) | [Async Embedding](https://docs.litellm.ai/docs/embedding/supported_embedding) | [Async Image Generation](https://docs.litellm.ai/docs/image_generation) |
|
||||
|-------------------------------------------------------------------------------------|---------------------------------------------------------|---------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------|-------------------------------------------------------------------------|
|
||||
| [openai](https://docs.litellm.ai/docs/providers/openai) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [Meta - Llama API](https://docs.litellm.ai/docs/providers/meta_llama) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [azure](https://docs.litellm.ai/docs/providers/azure) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [AI/ML API](https://docs.litellm.ai/docs/providers/aiml) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [aws - sagemaker](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [aws - bedrock](https://docs.litellm.ai/docs/providers/bedrock) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [google - vertex_ai](https://docs.litellm.ai/docs/providers/vertex) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| [google - palm](https://docs.litellm.ai/docs/providers/palm) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [google AI Studio - gemini](https://docs.litellm.ai/docs/providers/gemini) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [mistral ai api](https://docs.litellm.ai/docs/providers/mistral) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [cloudflare AI Workers](https://docs.litellm.ai/docs/providers/cloudflare_workers) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [CompactifAI](https://docs.litellm.ai/docs/providers/compactifai) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [cohere](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [anthropic](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [empower](https://docs.litellm.ai/docs/providers/empower) | ✅ | ✅ | ✅ | ✅ |
|
||||
| [huggingface](https://docs.litellm.ai/docs/providers/huggingface) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [replicate](https://docs.litellm.ai/docs/providers/replicate) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [together_ai](https://docs.litellm.ai/docs/providers/togetherai) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [openrouter](https://docs.litellm.ai/docs/providers/openrouter) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [ai21](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [baseten](https://docs.litellm.ai/docs/providers/baseten) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [vllm](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [nlp_cloud](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [aleph alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [petals](https://docs.litellm.ai/docs/providers/petals) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [ollama](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [deepinfra](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [perplexity-ai](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [Groq AI](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [Deepseek](https://docs.litellm.ai/docs/providers/deepseek) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [IBM - watsonx.ai](https://docs.litellm.ai/docs/providers/watsonx) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [voyage ai](https://docs.litellm.ai/docs/providers/voyage) | | | | | ✅ | |
|
||||
| [xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference) | | | | | ✅ | |
|
||||
| [FriendliAI](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [Galadriel](https://docs.litellm.ai/docs/providers/galadriel) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [GradientAI](https://docs.litellm.ai/docs/providers/gradient_ai) | ✅ | ✅ | | | | |
|
||||
| [Novita AI](https://novita.ai/models/llm?utm_source=github_litellm&utm_medium=github_readme&utm_campaign=github_link) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [Featherless AI](https://docs.litellm.ai/docs/providers/featherless_ai) | ✅ | ✅ | ✅ | ✅ | | |
|
||||
| [Nebius AI Studio](https://docs.litellm.ai/docs/providers/nebius) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||||
| [Heroku](https://docs.litellm.ai/docs/providers/heroku) | ✅ | ✅ | | | | |
|
||||
| [OVHCloud AI Endpoints](https://docs.litellm.ai/docs/providers/ovhcloud) | ✅ | ✅ | | | | |
|
||||
|
||||
[**Read the Docs**](https://docs.litellm.ai/docs/)
|
||||
|
||||
## Run in Developer mode
|
||||
### Services
|
||||
1. Setup .env file in root
|
||||
2. Run dependant services `docker-compose up db prometheus`
|
||||
|
||||
### Backend
|
||||
1. (In root) create virtual environment `python -m venv .venv`
|
||||
2. Activate virtual environment `source .venv/bin/activate`
|
||||
3. Install dependencies `pip install -e ".[all]"`
|
||||
4. Start proxy backend `python litellm/proxy_cli.py`
|
||||
|
||||
### Frontend
|
||||
1. Navigate to `ui/litellm-dashboard`
|
||||
2. Install dependencies `npm install`
|
||||
3. Run `npm run dev` to start the dashboard
|
||||
|
||||
# Enterprise
|
||||
For companies that need better security, user management and professional support
|
||||
|
||||
[Talk to founders](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat)
|
||||
|
||||
This covers:
|
||||
- ✅ **Features under the [LiteLLM Commercial License](https://docs.litellm.ai/docs/proxy/enterprise):**
|
||||
- ✅ **Feature Prioritization**
|
||||
- ✅ **Custom Integrations**
|
||||
- ✅ **Professional Support - Dedicated discord + slack**
|
||||
- ✅ **Custom SLAs**
|
||||
- ✅ **Secure access with Single Sign-On**
|
||||
|
||||
# Contributing
|
||||
|
||||
We welcome contributions to LiteLLM! Whether you're fixing bugs, adding features, or improving documentation, we appreciate your help.
|
||||
|
||||
## Quick Start for Contributors
|
||||
|
||||
This requires poetry to be installed.
|
||||
|
||||
```bash
|
||||
git clone https://github.com/BerriAI/litellm.git
|
||||
cd litellm
|
||||
make install-dev # Install development dependencies
|
||||
make format # Format your code
|
||||
make lint # Run all linting checks
|
||||
make test-unit # Run unit tests
|
||||
make format-check # Check formatting only
|
||||
```
|
||||
|
||||
For detailed contributing guidelines, see [CONTRIBUTING.md](CONTRIBUTING.md).
|
||||
|
||||
## Code Quality / Linting
|
||||
|
||||
LiteLLM follows the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html).
|
||||
|
||||
Our automated checks include:
|
||||
- **Black** for code formatting
|
||||
- **Ruff** for linting and code quality
|
||||
- **MyPy** for type checking
|
||||
- **Circular import detection**
|
||||
- **Import safety checks**
|
||||
|
||||
|
||||
All these checks must pass before your PR can be merged.
|
||||
|
||||
|
||||
# Support / talk with founders
|
||||
|
||||
- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
|
||||
- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
|
||||
- [Community Slack 💭](https://www.litellm.ai/support)
|
||||
- Our numbers 📞 +1 (770) 8783-106 / +1 (412) 618-6238
|
||||
- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
|
||||
|
||||
# Why did we build this
|
||||
|
||||
- **Need for simplicity**: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI and Cohere.
|
||||
|
||||
# Contributors
|
||||
|
||||
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
|
||||
<!-- prettier-ignore-start -->
|
||||
<!-- markdownlint-disable -->
|
||||
|
||||
<!-- markdownlint-restore -->
|
||||
<!-- prettier-ignore-end -->
|
||||
|
||||
<!-- ALL-CONTRIBUTORS-LIST:END -->
|
||||
|
||||
<a href="https://github.com/BerriAI/litellm/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=BerriAI/litellm" />
|
||||
</a>
|
||||
|
||||
|
||||
@@ -1,27 +0,0 @@
|
||||
name: LiteLLM
|
||||
tags:
|
||||
- 实用工具
|
||||
- AI
|
||||
title: 使用 OpenAI 格式调用所有 LLM API
|
||||
[Bedrock、Huggingface、VertexAI、TogetherAI、Azure、OpenAI、Groq 等]
|
||||
description:
|
||||
en: Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI,
|
||||
TogetherAI, Azure, OpenAI, Groq etc.]
|
||||
zh: 使用 OpenAI 格式调用所有 LLM API
|
||||
[Bedrock、Huggingface、VertexAI、TogetherAI、Azure、OpenAI、Groq 等]
|
||||
additionalProperties:
|
||||
key: litellm
|
||||
name: LiteLLM
|
||||
tags:
|
||||
- Tool
|
||||
- AI
|
||||
shortDescZh: 使用 OpenAI 格式调用所有 LLM API
|
||||
[Bedrock、Huggingface、VertexAI、TogetherAI、Azure、OpenAI、Groq 等]
|
||||
shortDescEn: Call all LLM APIs using the OpenAI format [Bedrock, Huggingface,
|
||||
VertexAI, TogetherAI, Azure, OpenAI, Groq etc.]
|
||||
type: website
|
||||
crossVersionUpdate: true
|
||||
limit: 0
|
||||
website: https://github.com/BerriAI/litellm
|
||||
github: https://github.com/BerriAI/litellm
|
||||
document: https://docs.litellm.ai/docs/
|
||||
@@ -1,21 +0,0 @@
|
||||
additionalProperties:
|
||||
formFields:
|
||||
- default: "4000"
|
||||
envKey: PANEL_APP_PORT_HTTP
|
||||
label:
|
||||
en: Port
|
||||
zh: 端口
|
||||
required: true
|
||||
type: number
|
||||
edit: true
|
||||
rule: paramPort
|
||||
- default: sk-1234
|
||||
envKey: LITELLM_MASTER_KEY
|
||||
label:
|
||||
en: LITELLM_MASTER_KEY
|
||||
zh: LITELLM密钥
|
||||
required: true
|
||||
type: text
|
||||
edit: true
|
||||
rule: paramCommon
|
||||
values: []
|
||||
@@ -1,79 +0,0 @@
|
||||
services:
|
||||
litellm:
|
||||
image: ghcr.io/berriai/litellm:main-stable
|
||||
container_name: ${CONTAINER_NAME}
|
||||
#########################################
|
||||
## Uncomment these lines to start proxy with a config.yaml file ##
|
||||
# volumes:
|
||||
# - ./config.yaml:/app/config.yaml
|
||||
# command:
|
||||
# - "--config=/app/config.yaml"
|
||||
##############################################
|
||||
ports:
|
||||
- ${PANEL_APP_PORT_HTTP}:4000 # Map the container port to the host, change the host port if necessary
|
||||
environment:
|
||||
DATABASE_URL: "postgresql://llmproxy:dbpassword9090@db:5432/litellm"
|
||||
STORE_MODEL_IN_DB: "True" # allows adding models to proxy via UI
|
||||
LITELLM_MASTER_KEY: ${LITELLM_MASTER_KEY}
|
||||
depends_on:
|
||||
- db # Indicates that this service depends on the 'db' service, ensuring 'db' starts first
|
||||
healthcheck: # Defines the health check configuration for the container
|
||||
test: [ "CMD-SHELL", "wget --no-verbose --tries=1 http://localhost:4000/health/liveliness || exit 1" ] # Command to execute for health check
|
||||
interval: 30s # Perform health check every 30 seconds
|
||||
timeout: 10s # Health check command times out after 10 seconds
|
||||
retries: 3 # Retry up to 3 times if health check fails
|
||||
start_period: 40s # Wait 40 seconds after container start before beginning health checks
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
db:
|
||||
image: postgres:16
|
||||
restart: always
|
||||
container_name: ${CONTAINER_NAME}-db
|
||||
environment:
|
||||
POSTGRES_DB: litellm
|
||||
POSTGRES_USER: llmproxy
|
||||
POSTGRES_PASSWORD: dbpassword9090
|
||||
ports:
|
||||
- "5432:5432"
|
||||
volumes:
|
||||
- postgres_data:/var/lib/postgresql/data # Persists Postgres data across container restarts
|
||||
healthcheck:
|
||||
test: ["CMD-SHELL", "pg_isready -d litellm -U llmproxy"]
|
||||
interval: 1s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
prometheus:
|
||||
image: prom/prometheus
|
||||
container_name: ${CONTAINER_NAME}-prometheus
|
||||
volumes:
|
||||
- prometheus_data:/prometheus
|
||||
- ./prometheus.yml:/etc/prometheus/prometheus.yml
|
||||
ports:
|
||||
- "9090:9090"
|
||||
command:
|
||||
- "--config.file=/etc/prometheus/prometheus.yml"
|
||||
- "--storage.tsdb.path=/prometheus"
|
||||
- "--storage.tsdb.retention.time=15d"
|
||||
restart: always
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
volumes:
|
||||
prometheus_data:
|
||||
driver: local
|
||||
postgres_data:
|
||||
name: litellm_postgres_data # Named volume for Postgres data persistence
|
||||
|
||||
networks:
|
||||
1panel-network:
|
||||
external: true
|
||||
@@ -1,7 +0,0 @@
|
||||
global:
|
||||
scrape_interval: 15s
|
||||
|
||||
scrape_configs:
|
||||
- job_name: 'litellm'
|
||||
static_configs:
|
||||
- targets: ['litellm:4000'] # Assuming Litellm exposes metrics at port 4000
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 42 KiB |
@@ -1,21 +0,0 @@
|
||||
additionalProperties:
|
||||
formFields:
|
||||
- default: "4000"
|
||||
envKey: PANEL_APP_PORT_HTTP
|
||||
label:
|
||||
en: Port
|
||||
zh: 端口
|
||||
required: true
|
||||
type: number
|
||||
edit: true
|
||||
rule: paramPort
|
||||
- default: sk-1234
|
||||
envKey: LITELLM_MASTER_KEY
|
||||
label:
|
||||
en: LITELLM_MASTER_KEY
|
||||
zh: LITELLM密钥
|
||||
required: true
|
||||
type: text
|
||||
edit: true
|
||||
rule: paramCommon
|
||||
values: []
|
||||
@@ -1,79 +0,0 @@
|
||||
services:
|
||||
litellm:
|
||||
image: ghcr.io/berriai/litellm:main-v1.82.6-nightly
|
||||
container_name: ${CONTAINER_NAME}
|
||||
#########################################
|
||||
## Uncomment these lines to start proxy with a config.yaml file ##
|
||||
# volumes:
|
||||
# - ./config.yaml:/app/config.yaml
|
||||
# command:
|
||||
# - "--config=/app/config.yaml"
|
||||
##############################################
|
||||
ports:
|
||||
- ${PANEL_APP_PORT_HTTP}:4000 # Map the container port to the host, change the host port if necessary
|
||||
environment:
|
||||
DATABASE_URL: "postgresql://llmproxy:dbpassword9090@db:5432/litellm"
|
||||
STORE_MODEL_IN_DB: "True" # allows adding models to proxy via UI
|
||||
LITELLM_MASTER_KEY: ${LITELLM_MASTER_KEY}
|
||||
depends_on:
|
||||
- db # Indicates that this service depends on the 'db' service, ensuring 'db' starts first
|
||||
healthcheck: # Defines the health check configuration for the container
|
||||
test: [ "CMD-SHELL", "wget --no-verbose --tries=1 http://localhost:4000/health/liveliness || exit 1" ] # Command to execute for health check
|
||||
interval: 30s # Perform health check every 30 seconds
|
||||
timeout: 10s # Health check command times out after 10 seconds
|
||||
retries: 3 # Retry up to 3 times if health check fails
|
||||
start_period: 40s # Wait 40 seconds after container start before beginning health checks
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
db:
|
||||
image: postgres:16
|
||||
restart: always
|
||||
container_name: ${CONTAINER_NAME}-db
|
||||
environment:
|
||||
POSTGRES_DB: litellm
|
||||
POSTGRES_USER: llmproxy
|
||||
POSTGRES_PASSWORD: dbpassword9090
|
||||
ports:
|
||||
- "5432:5432"
|
||||
volumes:
|
||||
- postgres_data:/var/lib/postgresql/data # Persists Postgres data across container restarts
|
||||
healthcheck:
|
||||
test: ["CMD-SHELL", "pg_isready -d litellm -U llmproxy"]
|
||||
interval: 1s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
prometheus:
|
||||
image: prom/prometheus
|
||||
container_name: ${CONTAINER_NAME}-prometheus
|
||||
volumes:
|
||||
- prometheus_data:/prometheus
|
||||
- ./prometheus.yml:/etc/prometheus/prometheus.yml
|
||||
ports:
|
||||
- "9090:9090"
|
||||
command:
|
||||
- "--config.file=/etc/prometheus/prometheus.yml"
|
||||
- "--storage.tsdb.path=/prometheus"
|
||||
- "--storage.tsdb.retention.time=15d"
|
||||
restart: always
|
||||
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: "Apps"
|
||||
volumes:
|
||||
prometheus_data:
|
||||
driver: local
|
||||
postgres_data:
|
||||
name: litellm_postgres_data # Named volume for Postgres data persistence
|
||||
|
||||
networks:
|
||||
1panel-network:
|
||||
external: true
|
||||
@@ -1,7 +0,0 @@
|
||||
global:
|
||||
scrape_interval: 15s
|
||||
|
||||
scrape_configs:
|
||||
- job_name: 'litellm'
|
||||
static_configs:
|
||||
- targets: ['litellm:4000'] # Assuming Litellm exposes metrics at port 4000
|
||||
Reference in New Issue
Block a user