Merge branch 'BerriAI:main' into main

README.md

@@ -3,7 +3,6 @@
 [![PyPI Version](https://img.shields.io/badge/stable%20version-v0.1.424-blue?color=green&link=https://pypi.org/project/litellm/0.1.1/)](https://pypi.org/project/litellm/0.1.1/)
 [![CircleCI](https://dl.circleci.com/status-badge/img/gh/BerriAI/litellm/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/BerriAI/litellm/tree/main)
 ![Downloads](https://img.shields.io/pypi/dm/litellm)
-[![litellm](https://img.shields.io/badge/%20%F0%9F%9A%85%20liteLLM-OpenAI%7CAzure%7CAnthropic%7CPalm%7CCohere%7CReplicate%7CHugging%20Face-blue?color=green)](https://github.com/BerriAI/litellm)
 
 [![](https://dcbadge.vercel.app/api/server/wuPM9dRgDw)](https://discord.gg/wuPM9dRgDw)
 
@@ -12,10 +11,11 @@ a light package to simplify calling OpenAI, Azure, Cohere, Anthropic, Huggingfac
 - guarantees [consistent output](https://litellm.readthedocs.io/en/latest/output/), text responses will always be available at `['choices'][0]['message']['content']`
 - exception mapping - common exceptions across providers are mapped to the [OpenAI exception types](https://help.openai.com/en/articles/6897213-openai-library-error-types-guidance)
 # usage
-<a href='https://docs.litellm.ai/docs/completion/supported' target="_blank"><img alt='None' src='https://img.shields.io/badge/Supported_LLMs-100000?style=for-the-badge&logo=None&logoColor=000000&labelColor=000000&color=8400EA'/></a>
+<a href='https://docs.litellm.ai/docs/completion/supported' target="_blank"><img alt='None' src='https://img.shields.io/badge/100+_Supported_LLMs_liteLLM-100000?style=for-the-badge&logo=None&logoColor=000000&labelColor=000000&color=8400EA'/></a>
 
-Demo - https://litellm.ai/playground \
+Demo - https://litellm.ai/playground  
-Read the docs - https://docs.litellm.ai/docs/
+Docs - https://docs.litellm.ai/docs/  
+**Free** Dashboard - https://docs.litellm.ai/docs/debugging/hosted_debugging
 
 ## quick start
 ```

docs/my-website/docs/completion/supported.md

@@ -21,8 +21,8 @@ liteLLM reads key naming, all keys should be named in the following format:
 
 | Model Name       | Function Call                           | Required OS Variables                     |
 |------------------|-----------------------------------------|-------------------------------------------|
-| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages, azure=True)` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages, custom_llm_provider="azure")` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
-| gpt-4            | `completion('gpt-4', messages, azure=True)`         | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+| gpt-4            | `completion('gpt-4', messages, custom_llm_provider="azure")`         | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
 
 ### OpenAI Text Completion Models
 

docs/my-website/docs/debugging/hosted_debugging.md

@@ -0,0 +1,51 @@
+import Image from '@theme/IdealImage';
+
+# Debugging Dashboard
+LiteLLM offers a free hosted debugger UI for your api calls (https://admin.litellm.ai/). Useful if you're testing your LiteLLM server and need to see if the API calls were made successfully.
+
+**Needs litellm>=0.1.438***
+
+You can enable this setting `litellm.debugger=True`.
+
+<Image img={require('../../img/dashboard.png')} alt="Dashboard" />
+
+See our live dashboard 👉 [admin.litellm.ai](https://admin.litellm.ai/)
+
+## Setup
+
+By default, your dashboard is viewable at `admin.litellm.ai/<your_email>`. 
+
+```
+import litellm, os 
+
+ ## Set your email
+ os.environ["LITELLM_EMAIL"] = "your_user_email"
+ 
+## Set debugger to true
+litellm.debugger = True
+```
+
+## Example Usage
+
+```
+ import litellm
+ from litellm import embedding, completion
+ import os 
+
+ ## Set ENV variable 
+ os.environ["LITELLM_EMAIL"] = "your_email"
+ 
+ ## Set debugger to true
+ litellm.debugger = True
+
+ user_message = "Hello, how are you?"
+ messages = [{ "content": user_message,"role": "user"}]
+
+
+ # openai call
+ response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+ # bad request call
+ response = completion(model="chatgpt-test", messages=[{"role": "user", "content": "Hi 👋 - i'm a bad request"}])
+```
+

docs/my-website/docs/debugging/local_debugging.md

@@ -0,0 +1,63 @@
+# Local Debugging
+There's 2 ways to do local debugging - `litellm.set_verbose=True` and by passing in a custom function `completion(...logger_fn=<your_local_function>)`
+
+## Set Verbose 
+
+This is good for getting print statements for everything litellm is doing.
+```
+from litellm import completion
+
+litellm.set_verbose=True # 👈 this is the 1-line change you need to make
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "openai key"
+os.environ["COHERE_API_KEY"] = "cohere key"
+
+messages = [{ "content": "Hello, how are you?","role": "user"}]
+
+# openai call
+response = completion(model="gpt-3.5-turbo", messages=messages)
+
+# cohere call
+response = completion("command-nightly", messages)
+```
+
+## Logger Function 
+But sometimes all you care about is seeing exactly what's getting sent to your api call and what's being returned - e.g. if the api call is failing, why is that happening? what are the exact params being set? 
+
+In that case, LiteLLM allows you to pass in a custom logging function to see / modify the model call Input/Outputs. 
+
+**Note**: We expect you to accept a dict object. 
+
+Your custom function 
+
+```
+def my_custom_logging_fn(model_call_dict):
+    print(f"model call details: {model_call_dict}")
+```
+
+### Complete Example
+```
+from litellm import completion
+
+def my_custom_logging_fn(model_call_dict):
+    print(f"model call details: {model_call_dict}")
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "openai key"
+os.environ["COHERE_API_KEY"] = "cohere key"
+
+messages = [{ "content": "Hello, how are you?","role": "user"}]
+
+# openai call
+response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=my_custom_logging_fn)
+
+# cohere call
+response = completion("command-nightly", messages, logger_fn=my_custom_logging_fn)
+```
+
+## Still Seeing Issues? 
+
+Text us @ +17708783106 or Join the [Discord](https://discord.com/invite/wuPM9dRgDw). 
+
+We promise to help you in `lite`ning speed ❤️

docs/my-website/docs/embedding/supported_embedding.md

@@ -1,5 +1,13 @@
 # Embedding Models
 
+## OpenAI Embedding Models
+
 | Model Name           | Function Call                               | Required OS Variables                |
 |----------------------|---------------------------------------------|--------------------------------------|
-| text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']`       |
+| text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']`       |
+
+## Azure OpenAI Embedding Models
+
+| Model Name           | Function Call                               | Required OS Variables                |
+|----------------------|---------------------------------------------|--------------------------------------|
+| text-embedding-ada-002 | `embedding('embedding-model-deployment', input=input, custom_llm_provider="azure")` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |

docs/my-website/docs/index.md

@@ -1,3 +1,7 @@
+---
+displayed_sidebar: tutorialSidebar
+---
+
 # litellm
 [![PyPI Version](https://img.shields.io/pypi/v/litellm.svg)](https://pypi.org/project/litellm/)
 [![PyPI Version](https://img.shields.io/badge/stable%20version-v0.1.345-blue?color=green&link=https://pypi.org/project/litellm/0.1.1/)](https://pypi.org/project/litellm/0.1.1/)

docs/my-website/docs/intro.md

@@ -1,47 +0,0 @@
----
-sidebar_position: 1
----
-
-# Tutorial Intro
-
-Let's discover **Docusaurus in less than 5 minutes**.
-
-## Getting Started
-
-Get started by **creating a new site**.
-
-Or **try Docusaurus immediately** with **[docusaurus.new](https://docusaurus.new)**.
-
-### What you'll need
-
-- [Node.js](https://nodejs.org/en/download/) version 16.14 or above:
-  - When installing Node.js, you are recommended to check all checkboxes related to dependencies.
-
-## Generate a new site
-
-Generate a new Docusaurus site using the **classic template**.
-
-The classic template will automatically be added to your project after you run the command:
-
-```bash
-npm init docusaurus@latest my-website classic
-```
-
-You can type this command into Command Prompt, Powershell, Terminal, or any other integrated terminal of your code editor.
-
-The command also installs all necessary dependencies you need to run Docusaurus.
-
-## Start your site
-
-Run the development server:
-
-```bash
-cd my-website
-npm run start
-```
-
-The `cd` command changes the directory you're working with. In order to work with your newly created Docusaurus site, you'll need to navigate the terminal there.
-
-The `npm run start` command builds your website locally and serves it through a development server, ready for you to view at http://localhost:3000/.
-
-Open `docs/intro.md` (this page) and edit some lines: the site **reloads automatically** and displays your changes.

docs/my-website/docusaurus.config.js

@@ -27,6 +27,19 @@ const config = {
     locales: ['en'],
   },
 
+  plugins: [
+    [
+      '@docusaurus/plugin-ideal-image',
+      {
+        quality: 70,
+        max: 1030, // max resized image's size.
+        min: 640, // min resized image's size. if original is lower, use that size.
+        steps: 2, // the max number of images generated between min and max (inclusive)
+        disableInDev: false,
+      },
+    ],
+  ],
+
   presets: [
     [
       'classic',
@@ -35,9 +48,7 @@ const config = {
         docs: {
           sidebarPath: require.resolve('./sidebars.js'),
         },
-        blog: {
+        blog: false, // Optional: disable the blog plugin
-          showReadingTime: true,
-        },
         theme: {
           customCss: require.resolve('./src/css/custom.css'),
         },
@@ -74,7 +85,7 @@ const config = {
             items: [
               {
                 label: 'Tutorial',
-                to: '/docs/intro',
+                to: '/docs/index',
               },
             ],
           },

docs/my-website/package-lock.json

@@ -9,12 +9,14 @@
       "version": "0.0.0",
       "dependencies": {
         "@docusaurus/core": "2.4.1",
+        "@docusaurus/plugin-ideal-image": "^2.4.1",
         "@docusaurus/preset-classic": "2.4.1",
         "@mdx-js/react": "^1.6.22",
         "clsx": "^1.2.1",
         "prism-react-renderer": "^1.3.5",
         "react": "^17.0.2",
-        "react-dom": "^17.0.2"
+        "react-dom": "^17.0.2",
+        "uuid": "^9.0.0"
       },
       "devDependencies": {
         "@docusaurus/module-type-aliases": "2.4.1"
@@ -2268,6 +2270,21 @@
         "node": ">=16.14"
       }
     },
+    "node_modules/@docusaurus/lqip-loader": {
+      "version": "2.4.1",
+      "resolved": "https://registry.npmjs.org/@docusaurus/lqip-loader/-/lqip-loader-2.4.1.tgz",
+      "integrity": "sha512-XJ0z/xSx5HtAQ+/xBoAiRZ7DY9zEP6IImAKlAk6RxuFzyB4HT8eINWN+LwLnOsTh5boIj37JCX+T76bH0ieULA==",
+      "dependencies": {
+        "@docusaurus/logger": "2.4.1",
+        "file-loader": "^6.2.0",
+        "lodash": "^4.17.21",
+        "sharp": "^0.30.7",
+        "tslib": "^2.4.0"
+      },
+      "engines": {
+        "node": ">=16.14"
+      }
+    },
     "node_modules/@docusaurus/mdx-loader": {
       "version": "2.4.1",
       "resolved": "https://registry.npmjs.org/@docusaurus/mdx-loader/-/mdx-loader-2.4.1.tgz",
@@ -2474,6 +2491,37 @@
         "react-dom": "^16.8.4 || ^17.0.0"
       }
     },
+    "node_modules/@docusaurus/plugin-ideal-image": {
+      "version": "2.4.1",
+      "resolved": "https://registry.npmjs.org/@docusaurus/plugin-ideal-image/-/plugin-ideal-image-2.4.1.tgz",
+      "integrity": "sha512-jxvgCGPmHxdae2Y2uskzxIbMCA4WLTfzkufsLbD4mEAjCRIkt6yzux6q5kqKTrO+AxzpANVcJNGmaBtKZGv5aw==",
+      "dependencies": {
+        "@docusaurus/core": "2.4.1",
+        "@docusaurus/lqip-loader": "2.4.1",
+        "@docusaurus/responsive-loader": "^1.7.0",
+        "@docusaurus/theme-translations": "2.4.1",
+        "@docusaurus/types": "2.4.1",
+        "@docusaurus/utils-validation": "2.4.1",
+        "@endiliey/react-ideal-image": "^0.0.11",
+        "react-waypoint": "^10.3.0",
+        "sharp": "^0.30.7",
+        "tslib": "^2.4.0",
+        "webpack": "^5.73.0"
+      },
+      "engines": {
+        "node": ">=16.14"
+      },
+      "peerDependencies": {
+        "jimp": "*",
+        "react": "^16.8.4 || ^17.0.0",
+        "react-dom": "^16.8.4 || ^17.0.0"
+      },
+      "peerDependenciesMeta": {
+        "jimp": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@docusaurus/plugin-sitemap": {
       "version": "2.4.1",
       "resolved": "https://registry.npmjs.org/@docusaurus/plugin-sitemap/-/plugin-sitemap-2.4.1.tgz",
@@ -2536,6 +2584,29 @@
         "react": "*"
       }
     },
+    "node_modules/@docusaurus/responsive-loader": {
+      "version": "1.7.0",
+      "resolved": "https://registry.npmjs.org/@docusaurus/responsive-loader/-/responsive-loader-1.7.0.tgz",
+      "integrity": "sha512-N0cWuVqTRXRvkBxeMQcy/OF2l7GN8rmni5EzR3HpwR+iU2ckYPnziceojcxvvxQ5NqZg1QfEW0tycQgHp+e+Nw==",
+      "dependencies": {
+        "loader-utils": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "peerDependencies": {
+        "jimp": "*",
+        "sharp": "*"
+      },
+      "peerDependenciesMeta": {
+        "jimp": {
+          "optional": true
+        },
+        "sharp": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@docusaurus/theme-classic": {
       "version": "2.4.1",
       "resolved": "https://registry.npmjs.org/@docusaurus/theme-classic/-/theme-classic-2.4.1.tgz",
@@ -2734,6 +2805,20 @@
         "node": ">=16.14"
       }
     },
+    "node_modules/@endiliey/react-ideal-image": {
+      "version": "0.0.11",
+      "resolved": "https://registry.npmjs.org/@endiliey/react-ideal-image/-/react-ideal-image-0.0.11.tgz",
+      "integrity": "sha512-QxMjt/Gvur/gLxSoCy7VIyGGGrGmDN+VHcXkN3R2ApoWX0EYUE+hMgPHSW/PV6VVebZ1Nd4t2UnGRBDihu16JQ==",
+      "engines": {
+        "node": ">= 8.9.0",
+        "npm": "> 3"
+      },
+      "peerDependencies": {
+        "prop-types": ">=15",
+        "react": ">=0.14.x",
+        "react-waypoint": ">=9.0.2"
+      }
+    },
     "node_modules/@hapi/hoek": {
       "version": "9.3.0",
       "resolved": "https://registry.npmjs.org/@hapi/hoek/-/hoek-9.3.0.tgz",
@@ -4180,6 +4265,25 @@
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     },
+    "node_modules/base64-js": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
+      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
     "node_modules/batch": {
       "version": "0.6.1",
       "resolved": "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz",
@@ -4201,6 +4305,16 @@
         "node": ">=8"
       }
     },
+    "node_modules/bl": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/bl/-/bl-4.1.0.tgz",
+      "integrity": "sha512-1W07cM9gS6DcLperZfFSj+bWLtaPGSOHWhPiGzXmvVJbRLdG82sH/Kn8EtW1VqWVA54AKf2h5k5BbnIbwF3h6w==",
+      "dependencies": {
+        "buffer": "^5.5.0",
+        "inherits": "^2.0.4",
+        "readable-stream": "^3.4.0"
+      }
+    },
     "node_modules/body-parser": {
       "version": "1.20.1",
       "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.1.tgz",
@@ -4333,6 +4447,29 @@
         "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7"
       }
     },
+    "node_modules/buffer": {
+      "version": "5.7.1",
+      "resolved": "https://registry.npmjs.org/buffer/-/buffer-5.7.1.tgz",
+      "integrity": "sha512-EHcyIPBQ4BSGlvjB16k5KgAJ27CIsHY/2JBmCRReo48y9rQ3MaUzWX3KVlBa4U7MyX02HdVj0K7C3WaB3ju7FQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
+      "dependencies": {
+        "base64-js": "^1.3.1",
+        "ieee754": "^1.1.13"
+      }
+    },
     "node_modules/buffer-from": {
       "version": "1.1.2",
       "resolved": "https://registry.npmjs.org/buffer-from/-/buffer-from-1.1.2.tgz",
@@ -4584,6 +4721,11 @@
         "fsevents": "~2.3.2"
       }
     },
+    "node_modules/chownr": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/chownr/-/chownr-1.1.4.tgz",
+      "integrity": "sha512-jJ0bqzaylmJtVnNgzTeSOs8DPavpbYgEr/b0YL8/2GO3xJEhInFmhKMUnEJQjZumK7KXGFhUy89PrsJWlakBVg=="
+    },
     "node_modules/chrome-trace-event": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/chrome-trace-event/-/chrome-trace-event-1.0.3.tgz",
@@ -4709,6 +4851,18 @@
         "url": "https://github.com/sponsors/wooorm"
       }
     },
+    "node_modules/color": {
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/color/-/color-4.2.3.tgz",
+      "integrity": "sha512-1rXeuUUiGGrykh+CeBdu5Ie7OJwinCgQY0bc7GCRxy5xVHy+moaqkpL/jqQq0MtQOeYcrqEz4abc5f0KtU7W4A==",
+      "dependencies": {
+        "color-convert": "^2.0.1",
+        "color-string": "^1.9.0"
+      },
+      "engines": {
+        "node": ">=12.5.0"
+      }
+    },
     "node_modules/color-convert": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
@@ -4725,6 +4879,15 @@
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     },
+    "node_modules/color-string": {
+      "version": "1.9.1",
+      "resolved": "https://registry.npmjs.org/color-string/-/color-string-1.9.1.tgz",
+      "integrity": "sha512-shrVawQFojnZv6xM40anx4CkoDP+fZsw/ZerEMsW/pyzsRbElpsL/DBVW7q3ExxwusdNXI3lXpuhEZkzs8p5Eg==",
+      "dependencies": {
+        "color-name": "^1.0.0",
+        "simple-swizzle": "^0.2.2"
+      }
+    },
     "node_modules/colord": {
       "version": "2.9.3",
       "resolved": "https://registry.npmjs.org/colord/-/colord-2.9.3.tgz",
@@ -4853,6 +5016,11 @@
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     },
+    "node_modules/consolidated-events": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/consolidated-events/-/consolidated-events-2.0.2.tgz",
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       "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.2.tgz",
@@ -5508,6 +5676,14 @@
         "url": "https://github.com/sponsors/wooorm"
       }
     },
+    "node_modules/detect-libc": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.2.tgz",
+      "integrity": "sha512-UX6sGumvvqSaXgdKGUsgZWqcUyIXZ/vZTrlRT/iobiKhGL0zL4d3osHj3uqllWJK+i+sixDS/3COVEOFbupFyw==",
+      "engines": {
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+      }
+    },
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       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/detect-node/-/detect-node-2.1.0.tgz",
@@ -5936,6 +6112,14 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/expand-template": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/expand-template/-/expand-template-2.0.3.tgz",
+      "integrity": "sha512-XYfuKMvj4O35f/pOXLObndIRvyQ+/+6AhODh+OKWj9S9498pHHn/IMszH+gt0fBCRWMNfk1ZSp5x3AifmnI2vg==",
+      "engines": {
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+      }
+    },
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       "resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
@@ -6389,6 +6573,11 @@
         "node": ">= 0.6"
       }
     },
+    "node_modules/fs-constants": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/fs-constants/-/fs-constants-1.0.0.tgz",
+      "integrity": "sha512-y6OAwoSIf7FyjMIv94u+b5rdheZEjzR63GTyZJm5qh4Bi+2YgwLCcI/fPFZkL5PSixOt6ZNKm+w+Hfp/Bciwow=="
+    },
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       "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-10.1.0.tgz",
@@ -6468,6 +6657,11 @@
         "node": ">=6"
       }
     },
+    "node_modules/github-from-package": {
+      "version": "0.0.0",
+      "resolved": "https://registry.npmjs.org/github-from-package/-/github-from-package-0.0.0.tgz",
+      "integrity": "sha512-SyHy3T1v2NUXn29OsWdxmK6RwHD+vkj3v8en8AOBZ1wBQ/hCAQ5bAQTD02kW4W9tUp/3Qh6J8r9EvntiyCmOOw=="
+    },
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       "version": "1.5.0",
       "resolved": "https://registry.npmjs.org/github-slugger/-/github-slugger-1.5.0.tgz",
@@ -7115,6 +7309,25 @@
         "postcss": "^8.1.0"
       }
     },
+    "node_modules/ieee754": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
+      "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
     "node_modules/ignore": {
       "version": "5.2.4",
       "resolved": "https://registry.npmjs.org/ignore/-/ignore-5.2.4.tgz",
@@ -8133,6 +8346,11 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/mkdirp-classic": {
+      "version": "0.5.3",
+      "resolved": "https://registry.npmjs.org/mkdirp-classic/-/mkdirp-classic-0.5.3.tgz",
+      "integrity": "sha512-gKLcREMhtuZRwRAfqP3RFW+TK4JqApVBtOIftVgjuABpAtpxhPGaDcfvbhNvD0B8iD1oUr/txX35NjcaY6Ns/A=="
+    },
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       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/mrmime/-/mrmime-1.0.1.tgz",
@@ -8175,6 +8393,11 @@
         "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
       }
     },
+    "node_modules/napi-build-utils": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/napi-build-utils/-/napi-build-utils-1.0.2.tgz",
+      "integrity": "sha512-ONmRUqK7zj7DWX0D9ADe03wbwOBZxNAfF20PlGfCWQcD3+/MakShIHrMqx9YwPTfxDdF1zLeL+RGZiR9kGMLdg=="
+    },
     "node_modules/negotiator": {
       "version": "0.6.3",
       "resolved": "https://registry.npmjs.org/negotiator/-/negotiator-0.6.3.tgz",
@@ -8197,6 +8420,22 @@
         "tslib": "^2.0.3"
       }
     },
+    "node_modules/node-abi": {
+      "version": "3.47.0",
+      "resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.47.0.tgz",
+      "integrity": "sha512-2s6B2CWZM//kPgwnuI0KrYwNjfdByE25zvAaEpq9IH4zcNsarH8Ihu/UuX6XMPEogDAxkuUFeZn60pXNHAqn3A==",
+      "dependencies": {
+        "semver": "^7.3.5"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/node-addon-api": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/node-addon-api/-/node-addon-api-5.1.0.tgz",
+      "integrity": "sha512-eh0GgfEkpnoWDq+VY8OyvYhFEzBk6jIYbRKdIlyTiAXIVJ8PyBaKb0rp7oDtoddbdoHWhq8wwr+XZ81F1rpNdA=="
+    },
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       "version": "1.11.0",
       "resolved": "https://registry.npmjs.org/node-emoji/-/node-emoji-1.11.0.tgz",
@@ -9303,6 +9542,31 @@
         "postcss": "^8.2.15"
       }
     },
+    "node_modules/prebuild-install": {
+      "version": "7.1.1",
+      "resolved": "https://registry.npmjs.org/prebuild-install/-/prebuild-install-7.1.1.tgz",
+      "integrity": "sha512-jAXscXWMcCK8GgCoHOfIr0ODh5ai8mj63L2nWrjuAgXE6tDyYGnx4/8o/rCgU+B4JSyZBKbeZqzhtwtC3ovxjw==",
+      "dependencies": {
+        "detect-libc": "^2.0.0",
+        "expand-template": "^2.0.3",
+        "github-from-package": "0.0.0",
+        "minimist": "^1.2.3",
+        "mkdirp-classic": "^0.5.3",
+        "napi-build-utils": "^1.0.1",
+        "node-abi": "^3.3.0",
+        "pump": "^3.0.0",
+        "rc": "^1.2.7",
+        "simple-get": "^4.0.0",
+        "tar-fs": "^2.0.0",
+        "tunnel-agent": "^0.6.0"
+      },
+      "bin": {
+        "prebuild-install": "bin.js"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/prepend-http": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/prepend-http/-/prepend-http-2.0.0.tgz",
@@ -9820,6 +10084,25 @@
         "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
       }
     },
+    "node_modules/react-waypoint": {
+      "version": "10.3.0",
+      "resolved": "https://registry.npmjs.org/react-waypoint/-/react-waypoint-10.3.0.tgz",
+      "integrity": "sha512-iF1y2c1BsoXuEGz08NoahaLFIGI9gTUAAOKip96HUmylRT6DUtpgoBPjk/Y8dfcFVmfVDvUzWjNXpZyKTOV0SQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.12.5",
+        "consolidated-events": "^1.1.0 || ^2.0.0",
+        "prop-types": "^15.0.0",
+        "react-is": "^17.0.1 || ^18.0.0"
+      },
+      "peerDependencies": {
+        "react": "^15.3.0 || ^16.0.0 || ^17.0.0 || ^18.0.0"
+      }
+    },
+    "node_modules/react-waypoint/node_modules/react-is": {
+      "version": "18.2.0",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz",
+      "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w=="
+    },
     "node_modules/readable-stream": {
       "version": "3.6.2",
       "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
@@ -10745,6 +11028,28 @@
       "resolved": "https://registry.npmjs.org/shallowequal/-/shallowequal-1.1.0.tgz",
       "integrity": "sha512-y0m1JoUZSlPAjXVtPPW70aZWfIL/dSP7AFkRnniLCrK/8MDKog3TySTBmckD+RObVxH0v4Tox67+F14PdED2oQ=="
     },
+    "node_modules/sharp": {
+      "version": "0.30.7",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.30.7.tgz",
+      "integrity": "sha512-G+MY2YW33jgflKPTXXptVO28HvNOo9G3j0MybYAHeEmby+QuD2U98dT6ueht9cv/XDqZspSpIhoSW+BAKJ7Hig==",
+      "hasInstallScript": true,
+      "dependencies": {
+        "color": "^4.2.3",
+        "detect-libc": "^2.0.1",
+        "node-addon-api": "^5.0.0",
+        "prebuild-install": "^7.1.1",
+        "semver": "^7.3.7",
+        "simple-get": "^4.0.1",
+        "tar-fs": "^2.1.1",
+        "tunnel-agent": "^0.6.0"
+      },
+      "engines": {
+        "node": ">=12.13.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      }
+    },
     "node_modules/shebang-command": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
@@ -10806,6 +11111,87 @@
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     },
+    "node_modules/simple-concat": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz",
+      "integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
+    "node_modules/simple-get": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/simple-get/-/simple-get-4.0.1.tgz",
+      "integrity": "sha512-brv7p5WgH0jmQJr1ZDDfKDOSeWWg+OVypG99A/5vYGPqJ6pxiaHLy8nxtFjBA7oMa01ebA9gfh1uMCFqOuXxvA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
+      "dependencies": {
+        "decompress-response": "^6.0.0",
+        "once": "^1.3.1",
+        "simple-concat": "^1.0.0"
+      }
+    },
+    "node_modules/simple-get/node_modules/decompress-response": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz",
+      "integrity": "sha512-aW35yZM6Bb/4oJlZncMH2LCoZtJXTRxES17vE3hoRiowU2kWHaJKFkSBDnDR+cm9J+9QhXmREyIfv0pji9ejCQ==",
+      "dependencies": {
+        "mimic-response": "^3.1.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/simple-get/node_modules/mimic-response": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-3.1.0.tgz",
+      "integrity": "sha512-z0yWI+4FDrrweS8Zmt4Ej5HdJmky15+L2e6Wgn3+iK5fWzb6T3fhNFq2+MeTRb064c6Wr4N/wv0DzQTjNzHNGQ==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/simple-swizzle": {
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz",
+      "integrity": "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==",
+      "dependencies": {
+        "is-arrayish": "^0.3.1"
+      }
+    },
+    "node_modules/simple-swizzle/node_modules/is-arrayish": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.3.2.tgz",
+      "integrity": "sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ=="
+    },
     "node_modules/sirv": {
       "version": "1.0.19",
       "resolved": "https://registry.npmjs.org/sirv/-/sirv-1.0.19.tgz",
@@ -10865,6 +11251,14 @@
         "websocket-driver": "^0.7.4"
       }
     },
+    "node_modules/sockjs/node_modules/uuid": {
+      "version": "8.3.2",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz",
+      "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==",
+      "bin": {
+        "uuid": "dist/bin/uuid"
+      }
+    },
     "node_modules/sort-css-media-queries": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/sort-css-media-queries/-/sort-css-media-queries-2.1.0.tgz",
@@ -11217,6 +11611,32 @@
         "node": ">=6"
       }
     },
+    "node_modules/tar-fs": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-2.1.1.tgz",
+      "integrity": "sha512-V0r2Y9scmbDRLCNex/+hYzvp/zyYjvFbHPNgVTKfQvVrb6guiE/fxP+XblDNR011utopbkex2nM4dHNV6GDsng==",
+      "dependencies": {
+        "chownr": "^1.1.1",
+        "mkdirp-classic": "^0.5.2",
+        "pump": "^3.0.0",
+        "tar-stream": "^2.1.4"
+      }
+    },
+    "node_modules/tar-stream": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-2.2.0.tgz",
+      "integrity": "sha512-ujeqbceABgwMZxEJnk2HDY2DlnUZ+9oEcb1KzTVfYHio0UE6dG71n60d8D2I4qNvleWrrXpmjpt7vZeF1LnMZQ==",
+      "dependencies": {
+        "bl": "^4.0.3",
+        "end-of-stream": "^1.4.1",
+        "fs-constants": "^1.0.0",
+        "inherits": "^2.0.3",
+        "readable-stream": "^3.1.1"
+      },
+      "engines": {
+        "node": ">=6"
+      }
+    },
     "node_modules/terser": {
       "version": "5.19.2",
       "resolved": "https://registry.npmjs.org/terser/-/terser-5.19.2.tgz",
@@ -11413,6 +11833,17 @@
       "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.1.tgz",
       "integrity": "sha512-t0hLfiEKfMUoqhG+U1oid7Pva4bbDPHYfJNiB7BiIjRkj1pyC++4N3huJfqY6aRH6VTB0rvtzQwjM4K6qpfOig=="
     },
+    "node_modules/tunnel-agent": {
+      "version": "0.6.0",
+      "resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
+      "integrity": "sha512-McnNiV1l8RYeY8tBgEpuodCC1mLUdbSN+CYBL7kJsJNInOP8UjDDEwdk6Mw60vdLLrr5NHKZhMAOSrR2NZuQ+w==",
+      "dependencies": {
+        "safe-buffer": "^5.0.1"
+      },
+      "engines": {
+        "node": "*"
+      }
+    },
     "node_modules/type-fest": {
       "version": "2.19.0",
       "resolved": "https://registry.npmjs.org/type-fest/-/type-fest-2.19.0.tgz",
@@ -11991,9 +12422,9 @@
       }
     },
     "node_modules/uuid": {
-      "version": "8.3.2",
+      "version": "9.0.0",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.0.tgz",
-      "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==",
+      "integrity": "sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==",
       "bin": {
         "uuid": "dist/bin/uuid"
       }

docs/my-website/package.json

@@ -15,12 +15,14 @@
   },
   "dependencies": {
     "@docusaurus/core": "2.4.1",
+    "@docusaurus/plugin-ideal-image": "^2.4.1",
     "@docusaurus/preset-classic": "2.4.1",
     "@mdx-js/react": "^1.6.22",
     "clsx": "^1.2.1",
     "prism-react-renderer": "^1.3.5",
     "react": "^17.0.2",
-    "react-dom": "^17.0.2"
+    "react-dom": "^17.0.2",
+    "uuid": "^9.0.0"
   },
   "devDependencies": {
     "@docusaurus/module-type-aliases": "2.4.1"

docs/my-website/sidebars.js

@@ -14,11 +14,10 @@
 /** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
 const sidebars = {
   // // By default, Docusaurus generates a sidebar from the docs folder structure
-  // tutorialSidebar: [{type: 'autogenerated', dirName: '.'}],
 
   // But you can create a sidebar manually
   tutorialSidebar: [
-    'index',
+    { type: "doc", id: "index" },  // NEW
     {
       type: 'category',
       label: 'Completion()',
@@ -30,6 +29,8 @@ const sidebars = {
       items: ['embedding/supported_embedding'],
     },
     'completion/supported',
+    'debugging/local_debugging',
+    'debugging/hosted_debugging',
     {
       type: 'category',
       label: 'Tutorials',

docs/my-website/src/pages/index.md

@@ -1,4 +1,8 @@
-# *🚅 litellm*
+---
+displayed_sidebar: tutorialSidebar
+---
+
+# litellm
 [![PyPI Version](https://img.shields.io/pypi/v/litellm.svg)](https://pypi.org/project/litellm/)
 [![PyPI Version](https://img.shields.io/badge/stable%20version-v0.1.345-blue?color=green&link=https://pypi.org/project/litellm/0.1.1/)](https://pypi.org/project/litellm/0.1.1/)
 [![CircleCI](https://dl.circleci.com/status-badge/img/gh/BerriAI/litellm/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/BerriAI/litellm/tree/main)

litellm/__init__.py

@@ -4,6 +4,7 @@ input_callback: List[str] = []
 success_callback: List[str] = []
 failure_callback: List[str] = []
 set_verbose = False
+debugger_email = None # for debugging dashboard. Learn more - https://docs.litellm.ai/docs/debugging/hosted_debugging
 telemetry = True
 max_tokens = 256  # OpenAI Defaults
 retry = True
@@ -17,7 +18,6 @@ openrouter_key: Optional[str] = None
 huggingface_key: Optional[str] = None
 vertex_project: Optional[str] = None
 vertex_location: Optional[str] = None
-hugging_api_token: Optional[str] = None
 togetherai_api_key: Optional[str] = None
 caching = False
 caching_with_models = False # if you want the caching key to be model + prompt
@@ -148,7 +148,15 @@ cohere_models = [
 anthropic_models = ["claude-2", "claude-instant-1", "claude-instant-1.2"]
 
 replicate_models = [
-    "replicate/"
+    "replicate/",
+    "replicate/llama-2-70b-chat:58d078176e02c219e11eb4da5a02a7830a283b14cf8f94537af893ccff5ee781",
+    "a16z-infra/llama-2-13b-chat:2a7f981751ec7fdf87b5b91ad4db53683a98082e9ff7bfd12c8cd5ea85980a52",
+    "joehoover/instructblip-vicuna13b:c4c54e3c8c97cd50c2d2fec9be3b6065563ccf7d43787fb99f84151b867178fe"
+    "replicate/dolly-v2-12b:ef0e1aefc61f8e096ebe4db6b2bacc297daf2ef6899f0f7e001ec445893500e5",
+    "a16z-infra/llama-2-7b-chat:7b0bfc9aff140d5b75bacbed23e91fd3c34b01a1e958d32132de6e0a19796e2c",
+    "replicate/vicuna-13b:6282abe6a492de4145d7bb601023762212f9ddbbe78278bd6771c8b3b2f2a13b",
+    "daanelson/flan-t5-large:ce962b3f6792a57074a601d3979db5839697add2e4e02696b3ced4c022d4767f",
+    "replit/replit-code-v1-3b:b84f4c074b807211cd75e3e8b1589b6399052125b4c27106e43d47189e8415ad"
 ]  # placeholder, to make sure we accept any replicate model in our model_list
 
 openrouter_models = [
@@ -185,6 +193,18 @@ huggingface_models = [
 
 ai21_models = ["j2-ultra", "j2-mid", "j2-light"]
 
+together_ai_models = [
+    "togethercomputer/llama-2-70b-chat",
+    "togethercomputer/Llama-2-7B-32K-Instruct",
+    "togethercomputer/llama-2-7b"
+]
+
+baseten_models = [
+    "qvv0xeq", # FALCON 7B
+    "q841o8w", # WizardLM
+    "31dxrj3" # Mosaic ML
+]
+
 model_list = (
     open_ai_chat_completion_models
     + open_ai_text_completion_models
@@ -196,10 +216,13 @@ model_list = (
     + vertex_chat_models
     + vertex_text_models
     + ai21_models
+    + together_ai_models
+    + baseten_models
 )
 
 provider_list = [
     "openai",
+    "azure",
     "cohere",
     "anthropic",
     "replicate",
@@ -208,7 +231,23 @@ provider_list = [
     "openrouter",
     "vertex_ai",
     "ai21",
+    "baseten"
 ]
+
+models_by_provider = {
+    "openai": open_ai_chat_completion_models
+    + open_ai_text_completion_models,
+    "cohere": cohere_models,
+    "anthropic": anthropic_models,
+    "replicate": replicate_models,
+    "huggingface": huggingface_models,
+    "together_ai": together_ai_models,
+    "baseten": baseten_models,
+    "openrouter": openrouter_models,
+    "vertex_ai": vertex_chat_models + vertex_text_models,
+    "ai21": ai21_models,
+}
+
 ####### EMBEDDING MODELS ###################
 open_ai_embedding_models = ["text-embedding-ada-002"]
 
@@ -223,7 +262,8 @@ from .utils import (
     cost_per_token,
     completion_cost,
     get_litellm_params,
-    Logging
+    Logging,
+    acreate
 )
 from .main import *  # type: ignore
 from .integrations import *

litellm/integrations/litedebugger.py

@@ -0,0 +1,92 @@
+import requests, traceback, json, os
+
+class LiteDebugger:
+    user_email = None
+    dashboard_url = None
+    def __init__(self, email=None):
+        self.api_url = "https://api.litellm.ai/debugger"
+        self.validate_environment(email)
+        pass
+
+    def validate_environment(self, email):
+        try:
+            self.user_email = os.getenv("LITELLM_EMAIL") or email
+            self.dashboard_url = 'https://admin.litellm.ai/' + self.user_email
+            print(f"Here's your free Dashboard 👉 {self.dashboard_url}")
+            if self.user_email == None:
+                raise Exception("[Non-Blocking Error] LiteLLMDebugger: Missing LITELLM_EMAIL. Set it in your environment. Eg.: os.environ['LITELLM_EMAIL']= <your_email>")
+        except Exception as e:
+            raise ValueError("[Non-Blocking Error] LiteLLMDebugger: Missing LITELLM_EMAIL. Set it in your environment. Eg.: os.environ['LITELLM_EMAIL']= <your_email>")
+
+    
+    def input_log_event(self, model, messages, end_user, litellm_call_id, print_verbose):
+        try:
+            print_verbose(
+                f"LiteLLMDebugger: Logging - Enters input logging function for model {model}"
+            )
+            litellm_data_obj = {
+                "model": model, 
+                "messages": messages, 
+                "end_user": end_user, 
+                "status": "initiated",
+                "litellm_call_id": litellm_call_id,
+                "user_email": self.user_email
+            }
+            response = requests.post(url=self.api_url, headers={"content-type": "application/json"}, data=json.dumps(litellm_data_obj))
+            print_verbose(f"LiteDebugger: api response - {response.text}")
+        except:
+            print_verbose(f"[Non-Blocking Error] LiteDebugger: Logging Error - {traceback.format_exc()}")
+            pass
+    
+    def log_event(self, model,
+        messages,
+        end_user,
+        response_obj,
+        start_time,
+        end_time,
+        litellm_call_id,
+        print_verbose,):
+        try:
+            print_verbose(
+                f"LiteLLMDebugger: Logging - Enters input logging function for model {model}"
+            )
+            total_cost = 0 # [TODO] implement cost tracking
+            response_time = (end_time - start_time).total_seconds()
+            if "choices" in response_obj:
+                litellm_data_obj = {
+                    "response_time": response_time,
+                    "model": response_obj["model"],
+                    "total_cost": total_cost,
+                    "messages": messages,
+                    "response": response_obj["choices"][0]["message"]["content"],
+                    "end_user": end_user,
+                    "litellm_call_id": litellm_call_id,
+                    "status": "success",
+                    "user_email": self.user_email
+                }
+                print_verbose(
+                    f"LiteDebugger: Logging - final data object: {litellm_data_obj}"
+                )
+                response = requests.post(url=self.api_url, headers={"content-type": "application/json"}, data=json.dumps(litellm_data_obj))
+            elif "error" in response_obj:
+                if "Unable to map your input to a model." in response_obj["error"]:
+                    total_cost = 0
+                litellm_data_obj = {
+                    "response_time": response_time,
+                    "model": response_obj["model"],
+                    "total_cost": total_cost,
+                    "messages": messages,
+                    "error": response_obj["error"],
+                    "end_user": end_user,
+                    "litellm_call_id": litellm_call_id,
+                    "status": "failure",
+                    "user_email": self.user_email
+                }
+                print_verbose(
+                    f"LiteDebugger: Logging - final data object: {litellm_data_obj}"
+                )
+                response = requests.post(url=self.api_url, headers={"content-type": "application/json"}, data=json.dumps(litellm_data_obj))
+                print_verbose(f"LiteDebugger: api response - {response.text}")
+        except:
+            print_verbose(f"[Non-Blocking Error] LiteDebugger: Logging Error - {traceback.format_exc()}")
+            pass

litellm/integrations/supabase.py

@@ -162,8 +162,8 @@ class Supabase:
                     .execute()
                 )
             print(f"data: {data}")
-            pass
         except:
+            print_verbose(f"Supabase Logging Error - {traceback.format_exc()}")
             pass
 
     def log_event(

litellm/main.py

@@ -91,6 +91,7 @@ def completion(
     top_k=40,
     request_timeout=0,  # unused var for old version of OpenAI API
 ) -> ModelResponse:
+    args = locals()
     try:
         model_response = ModelResponse()
         if azure:  # this flag is deprecated, remove once notebooks are also updated.
@@ -100,7 +101,6 @@ def completion(
             model = model.split("/", 1)[1]
             if "replicate" == custom_llm_provider and "/" not in model: # handle the "replicate/llama2..." edge-case
                 model = custom_llm_provider + "/" + model
-        args = locals()
         # check if user passed in any of the OpenAI optional params
         optional_params = get_optional_params(
             functions=functions,
@@ -153,7 +153,7 @@ def completion(
             # set key
             openai.api_key = api_key
             ## LOGGING
-            logging.pre_call(input=messages, api_key=openai.api_key, additional_args={"headers": litellm.headers, "api_version": openai.api_version, "api_base": openai.api_base})
+            logging.pre_call(input=messages, api_key=openai.api_key, additional_args={"litellm.headers": litellm.headers, "api_version": openai.api_version, "api_base": openai.api_base})
             ## COMPLETION CALL
             if litellm.headers:
                 response = openai.ChatCompletion.create(
@@ -164,8 +164,9 @@ def completion(
                 )
             else:
                 response = openai.ChatCompletion.create(
-                    model=model, messages=messages, **optional_params
+                    engine=model, messages=messages, **optional_params
                 )
+            
             ## LOGGING
             logging.post_call(input=messages, api_key=openai.api_key, original_response=response, additional_args={"headers": litellm.headers, "api_version": openai.api_version, "api_base": openai.api_base})
         elif (
@@ -186,7 +187,7 @@ def completion(
             # set API KEY
             if not api_key and litellm.openai_key:
                 api_key = litellm.openai_key
-            elif not api_key and get_secret("AZURE_API_KEY"):
+            elif not api_key and get_secret("OPENAI_API_KEY"):
                 api_key = get_secret("OPENAI_API_KEY")
 
             openai.api_key = api_key
@@ -218,7 +219,7 @@ def completion(
             # set API KEY
             if not api_key and litellm.openai_key:
                 api_key = litellm.openai_key
-            elif not api_key and get_secret("AZURE_API_KEY"):
+            elif not api_key and get_secret("OPENAI_API_KEY"):
                 api_key = get_secret("OPENAI_API_KEY")
 
             openai.api_key = api_key
@@ -637,7 +638,6 @@ def completion(
             model_response["model"] = model
             response = model_response
         else:
-            args = locals()
             raise ValueError(
                 f"Unable to map your input to a model. Check your input - {args}"
             )
@@ -707,9 +707,10 @@ def embedding(model, input=[], azure=False, force_timeout=60, litellm_call_id=No
 
         return response
     except Exception as e:
+        ## LOGGING
+        logging.post_call(input=input, api_key=openai.api_key, original_response=e)
         ## Map to OpenAI Exception
         raise exception_type(model=model, original_exception=e, custom_llm_provider="azure" if azure==True else None)
-        raise e
 
 
 ####### HELPER FUNCTIONS ################

litellm/tests/test_async_fn.py

@@ -9,7 +9,7 @@ import asyncio
 sys.path.insert(
     0, os.path.abspath("../..")
 )  # Adds the parent directory to the system path
-from litellm import acompletion
+from litellm import acompletion, acreate
 
 
 async def test_get_response():
@@ -24,3 +24,16 @@ async def test_get_response():
 
 response = asyncio.run(test_get_response())
 print(response)
+
+# async def test_get_response():
+#     user_message = "Hello, how are you?"
+#     messages = [{"content": user_message, "role": "user"}]
+#     try:
+#         response = await acreate(model="gpt-3.5-turbo", messages=messages)
+#     except Exception as e:
+#         pytest.fail(f"error occurred: {e}")
+#     return response
+
+
+# response = asyncio.run(test_get_response())
+# print(response)

litellm/tests/test_completion.py

@@ -254,8 +254,7 @@ def test_completion_openai_with_functions():
 def test_completion_azure():
     try:
         response = completion(
-            model="gpt-3.5-turbo",
+            model="chatgpt-test",
-            deployment_id="chatgpt-test",
             messages=messages,
             custom_llm_provider="azure",
         )

litellm/tests/test_litedebugger_integration.py

@@ -0,0 +1,22 @@
+# #### What this tests ####
+# #    This tests if logging to the litedebugger integration actually works
+# # pytest mistakes intentional bad calls as failed tests -> [TODO] fix this
+# import sys, os
+# import traceback
+# import pytest
+
+# sys.path.insert(0, os.path.abspath('../..'))  # Adds the parent directory to the system path
+# import litellm
+# from litellm import embedding, completion
+
+# litellm.debugger = True
+
+# user_message = "Hello, how are you?"
+# messages = [{ "content": user_message,"role": "user"}]
+
+
+# #openai call
+# response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+# #bad request call
+# response = completion(model="chatgpt-test", messages=[{"role": "user", "content": "Hi 👋 - i'm a bad request"}])

litellm/tests/test_streaming.py

@@ -22,6 +22,32 @@ def logger_fn(model_call_object: dict):
 user_message = "Hello, how are you?"
 messages = [{"content": user_message, "role": "user"}]
 
+# test on openai completion call
+try:
+    response = completion(
+        model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
+    )
+    for chunk in response:
+        print(chunk["choices"][0]["delta"])
+    score += 1
+except:
+    print(f"error occurred: {traceback.format_exc()}")
+    pass
+
+
+# test on azure completion call
+try:
+    response = completion(
+        model="azure/chatgpt-test", messages=messages, stream=True, logger_fn=logger_fn
+    )
+    for chunk in response:
+        print(chunk["choices"][0]["delta"])
+    score += 1
+except:
+    print(f"error occurred: {traceback.format_exc()}")
+    pass
+
+
 # test on anthropic completion call
 try:
     response = completion(
@@ -35,19 +61,19 @@ except:
     pass
 
 
-# test on anthropic completion call
+# # test on huggingface completion call
-try:
+# try:
-    response = completion(
+#     response = completion(
-        model="meta-llama/Llama-2-7b-chat-hf",
+#         model="meta-llama/Llama-2-7b-chat-hf",
-        messages=messages,
+#         messages=messages,
-        custom_llm_provider="huggingface",
+#         custom_llm_provider="huggingface",
-        custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud",
+#         custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud",
-        stream=True,
+#         stream=True,
-        logger_fn=logger_fn,
+#         logger_fn=logger_fn,
-    )
+#     )
-    for chunk in response:
+#     for chunk in response:
-        print(chunk["choices"][0]["delta"])
+#         print(chunk["choices"][0]["delta"])
-    score += 1
+#     score += 1
-except:
+# except:
-    print(f"error occurred: {traceback.format_exc()}")
+#     print(f"error occurred: {traceback.format_exc()}")
-    pass
+#     pass

litellm/tests/test_supabase_integration.py

@@ -1,5 +1,5 @@
 # #### What this tests ####
-# #    This tests if logging to the helicone integration actually works
+# #    This tests if logging to the supabase integration actually works
 # # pytest mistakes intentional bad calls as failed tests -> [TODO] fix this
 # import sys, os
 # import traceback
@@ -13,7 +13,7 @@
 # litellm.success_callback = ["supabase"]
 # litellm.failure_callback = ["supabase"]
 
-# litellm.modify_integration("supabase",{"table_name": "test_table"})
+# # litellm.modify_integration("supabase",{"table_name": "test_table"})
 
 # litellm.set_verbose = True
 

litellm/utils.py

@@ -12,6 +12,7 @@ from .integrations.helicone import HeliconeLogger
 from .integrations.aispend import AISpendLogger
 from .integrations.berrispend import BerriSpendLogger
 from .integrations.supabase import Supabase
+from .integrations.litedebugger import LiteDebugger
 from openai.error import OpenAIError as OriginalError
 from openai.openai_object import OpenAIObject
 from .exceptions import (
@@ -35,6 +36,7 @@ heliconeLogger = None
 aispendLogger = None
 berrispendLogger = None
 supabaseClient = None
+liteDebuggerClient = None
 callback_list: Optional[List[str]] = []
 user_logger_fn = None
 additional_details: Optional[Dict[str, str]] = {}
@@ -136,6 +138,7 @@ def install_and_import(package: str):
 ####### LOGGING ###################
 # Logging function -> log the exact model details + what's being sent | Non-Blocking
 class Logging:
+    global supabaseClient, liteDebuggerClient
     def __init__(self, model, messages, optional_params, litellm_params):
         self.model = model
         self.messages = messages
@@ -151,7 +154,7 @@ class Logging:
         
     def pre_call(self, input, api_key, additional_args={}):
         try:
-            print(f"logging pre call for model: {self.model}")
+            print_verbose(f"logging pre call for model: {self.model}")
             self.model_call_details["input"] = input
             self.model_call_details["api_key"] = api_key
             self.model_call_details["additional_args"] = additional_args
@@ -177,7 +180,7 @@ class Logging:
                         print_verbose("reaches supabase for logging!")
                         model = self.model
                         messages = self.messages
-                        print(f"litellm._thread_context: {litellm._thread_context}")
+                        print(f"supabaseClient: {supabaseClient}")
                         supabaseClient.input_log_event(
                             model=model,
                             messages=messages,
@@ -185,14 +188,34 @@ class Logging:
                             litellm_call_id=self.litellm_params["litellm_call_id"],
                             print_verbose=print_verbose,
                         )
-                    pass
+                    elif callback == "lite_debugger":
-                except:
+                        print_verbose("reaches litedebugger for logging!")
-                    pass
+                        model = self.model
+                        messages = self.messages
+                        print_verbose(f"liteDebuggerClient: {liteDebuggerClient}")
+                        liteDebuggerClient.input_log_event(
+                            model=model,
+                            messages=messages,
+                            end_user=litellm._thread_context.user,
+                            litellm_call_id=self.litellm_params["litellm_call_id"],
+                            print_verbose=print_verbose,
+                        )
+                except Exception as e:
+                    print_verbose(f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while input logging with integrations {traceback.format_exc()}")
+                    print_verbose(
+                        f"LiteLLM.Logging: is sentry capture exception initialized {capture_exception}"
+                    )
+                    if capture_exception: # log this error to sentry for debugging 
+                        capture_exception(e)
         except:
             print_verbose(
                 f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while logging {traceback.format_exc()}"
             )
-            pass
+            print_verbose(
+                f"LiteLLM.Logging: is sentry capture exception initialized {capture_exception}"
+            )
+            if capture_exception: # log this error to sentry for debugging 
+                capture_exception(e)
         
     def post_call(self, input, api_key, original_response, additional_args={}):
         # Do something here
@@ -220,9 +243,6 @@ class Logging:
                 f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while logging {traceback.format_exc()}"
             )
             pass
-    
-    # Add more methods as needed
-    
 
 def exception_logging(
     additional_args={},
@@ -257,11 +277,16 @@ def exception_logging(
 ####### CLIENT ###################
 # make it easy to log if completion/embedding runs succeeded or failed + see what happened | Non-Blocking
 def client(original_function):
+    global liteDebuggerClient
     def function_setup(
         *args, **kwargs
     ):  # just run once to check if user wants to send their data anywhere - PostHog/Sentry/Slack/etc.
         try:
             global callback_list, add_breadcrumb, user_logger_fn
+            if litellm.debugger or os.getenv("LITELLM_EMAIL", None) != None: # add to input, success and failure callbacks if user sets debugging to true
+                litellm.input_callback.append("lite_debugger")
+                litellm.success_callback.append("lite_debugger")
+                litellm.failure_callback.append("lite_debugger")
             if (
                 len(litellm.input_callback) > 0 or len(litellm.success_callback) > 0 or len(litellm.failure_callback) > 0
             ) and len(callback_list) == 0:
@@ -387,6 +412,9 @@ def client(original_function):
                 args=(e, traceback_exception, start_time, end_time, args, kwargs),
             )  # don't interrupt execution of main thread
             my_thread.start()
+            if hasattr(e, "message"):
+                if liteDebuggerClient and liteDebuggerClient.dashboard_url != None: # make it easy to get to the debugger logs if you've initialized it
+                    e.message += f"\n Check the log in your dashboard - {liteDebuggerClient.dashboard_url}"
             raise e
 
     return wrapper
@@ -626,7 +654,7 @@ def load_test_model(
 
 
 def set_callbacks(callback_list):
-    global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, heliconeLogger, aispendLogger, berrispendLogger, supabaseClient
+    global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, heliconeLogger, aispendLogger, berrispendLogger, supabaseClient, liteDebuggerClient
     try:
         for callback in callback_list:
             print(f"callback: {callback}")
@@ -688,12 +716,15 @@ def set_callbacks(callback_list):
             elif callback == "supabase":
                 print(f"instantiating supabase")
                 supabaseClient = Supabase()
+            elif callback == "lite_debugger":
+                print(f"instantiating lite_debugger")
+                liteDebuggerClient = LiteDebugger(email=litellm.email)
     except Exception as e:
         raise e
 
 
 def handle_failure(exception, traceback_exception, start_time, end_time, args, kwargs):
-    global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, aispendLogger, berrispendLogger
+    global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel, aispendLogger, berrispendLogger, supabaseClient, liteDebuggerClient
     try:
         # print_verbose(f"handle_failure args: {args}")
         # print_verbose(f"handle_failure kwargs: {kwargs}")
@@ -794,6 +825,7 @@ def handle_failure(exception, traceback_exception, start_time, end_time, args, k
                     )
                 elif callback == "supabase":
                     print_verbose("reaches supabase for logging!")
+                    print_verbose(f"supabaseClient: {supabaseClient}")
                     model = args[0] if len(args) > 0 else kwargs["model"]
                     messages = args[1] if len(args) > 1 else kwargs["messages"]
                     result = {
@@ -817,6 +849,32 @@ def handle_failure(exception, traceback_exception, start_time, end_time, args, k
                         litellm_call_id=kwargs["litellm_call_id"],
                         print_verbose=print_verbose,
                     )
+                elif callback == "lite_debugger":
+                    print_verbose("reaches lite_debugger for logging!")
+                    print_verbose(f"liteDebuggerClient: {liteDebuggerClient}")
+                    model = args[0] if len(args) > 0 else kwargs["model"]
+                    messages = args[1] if len(args) > 1 else kwargs["messages"]
+                    result = {
+                        "model": model,
+                        "created": time.time(),
+                        "error": traceback_exception,
+                        "usage": {
+                            "prompt_tokens": prompt_token_calculator(
+                                model, messages=messages
+                            ),
+                            "completion_tokens": 0,
+                        },
+                    }
+                    liteDebuggerClient.log_event(
+                        model=model,
+                        messages=messages,
+                        end_user=litellm._thread_context.user,
+                        response_obj=result,
+                        start_time=start_time,
+                        end_time=end_time,
+                        litellm_call_id=kwargs["litellm_call_id"],
+                        print_verbose=print_verbose,
+                    )
             except:
                 print_verbose(
                     f"Error Occurred while logging failure: {traceback.format_exc()}"
@@ -837,7 +895,7 @@ def handle_failure(exception, traceback_exception, start_time, end_time, args, k
 
 
 def handle_success(args, kwargs, result, start_time, end_time):
-    global heliconeLogger, aispendLogger
+    global heliconeLogger, aispendLogger, supabaseClient, liteDebuggerClient
     try:
         success_handler = additional_details.pop("success_handler", None)
         failure_handler = additional_details.pop("failure_handler", None)
@@ -904,7 +962,7 @@ def handle_success(args, kwargs, result, start_time, end_time):
                     print_verbose("reaches supabase for logging!")
                     model = args[0] if len(args) > 0 else kwargs["model"]
                     messages = args[1] if len(args) > 1 else kwargs["messages"]
-                    print(f"litellm._thread_context: {litellm._thread_context}")
+                    print(f"supabaseClient: {supabaseClient}")
                     supabaseClient.log_event(
                         model=model,
                         messages=messages,
@@ -915,6 +973,21 @@ def handle_success(args, kwargs, result, start_time, end_time):
                         litellm_call_id=kwargs["litellm_call_id"],
                         print_verbose=print_verbose,
                     )
+                elif callback == "lite_debugger":
+                    print_verbose("reaches lite_debugger for logging!")
+                    model = args[0] if len(args) > 0 else kwargs["model"]
+                    messages = args[1] if len(args) > 1 else kwargs["messages"]
+                    print_verbose(f"liteDebuggerClient: {liteDebuggerClient}")
+                    liteDebuggerClient.log_event(
+                        model=model,
+                        messages=messages,
+                        end_user=litellm._thread_context.user,
+                        response_obj=result,
+                        start_time=start_time,
+                        end_time=end_time,
+                        litellm_call_id=kwargs["litellm_call_id"],
+                        print_verbose=print_verbose,
+                    )
             except Exception as e:
                 ## LOGGING
                 exception_logging(logger_fn=user_logger_fn, exception=e)
@@ -935,6 +1008,9 @@ def handle_success(args, kwargs, result, start_time, end_time):
         pass
 
 
+def acreate(*args, **kwargs): ## Thin client to handle the acreate langchain call
+    return litellm.acompletion(*args, **kwargs)
+
 def prompt_token_calculator(model, messages):
     # use tiktoken or anthropic's tokenizer depending on the model
     text = " ".join(message["content"] for message in messages)
@@ -949,6 +1025,16 @@ def prompt_token_calculator(model, messages):
         num_tokens = len(encoding.encode(text))
     return num_tokens
 
+def valid_model(model):
+    try:
+        # for a given model name, check if the user has the right permissions to access the model 
+        if model in litellm.open_ai_chat_completion_models or model in litellm.open_ai_text_completion_models:
+            openai.Model.retrieve(model)
+        else:
+            messages = [{"role": "user", "content": "Hello World"}]
+            litellm.completion(model=model, messages=messages)
+    except:
+        raise InvalidRequestError(message="", model=model, llm_provider="")    
 
 # integration helper function
 def modify_integration(integration_name, integration_params):
@@ -958,8 +1044,9 @@ def modify_integration(integration_name, integration_params):
             Supabase.supabase_table_name = integration_params["table_name"]
 
 
+####### EXCEPTION MAPPING ################
 def exception_type(model, original_exception, custom_llm_provider):
-    global user_logger_fn
+    global user_logger_fn, liteDebuggerClient
     exception_mapping_worked = False
     try:
         if isinstance(original_exception, OriginalError):
@@ -1099,6 +1186,7 @@ def exception_type(model, original_exception, custom_llm_provider):
             raise original_exception
 
 
+####### CRASH REPORTING ################
 def safe_crash_reporting(model=None, exception=None, custom_llm_provider=None):
     data = {
         "model": model,
@@ -1297,7 +1385,7 @@ async def stream_to_string(generator):
     return response
 
 
-########## Together AI streaming #############################
+########## Together AI streaming ############################# [TODO] move together ai to it's own llm class 
 async def together_ai_completion_streaming(json_data, headers):
     session = aiohttp.ClientSession()
     url = "https://api.together.xyz/inference"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "0.1.431"
+version = "0.1.448"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT License"