fix supported LLM on docs

cookbook/LiteLLM_AB_TestLLMs.ipynb

@@ -50,7 +50,7 @@
         "\n",
         "\n",
         "# define a dict of model id and % of requests for model\n",
-        "# see models here: https://docs.litellm.ai/docs/completion/supported\n",
+        "# see models here: https://docs.litellm.ai/docs/providers\n",
         "split_per_model = {\n",
         "\t\"gpt-4\": 0.3,\n",
         "\t\"gpt-3.5-turbo\": 0.7\n",

cookbook/LiteLLM_Comparing_LLMs.ipynb

@@ -100,7 +100,7 @@
       "source": [
         "results = [] # for storing results\n",
         "\n",
-        "models = ['gpt-3.5-turbo', 'claude-2'] # define what models you're testing, see: https://docs.litellm.ai/docs/completion/supported\n",
+        "models = ['gpt-3.5-turbo', 'claude-2'] # define what models you're testing, see: https://docs.litellm.ai/docs/providers\n",
         "for question in questions:\n",
         "    row = [question]\n",
         "    for model in models:\n",

cookbook/llm-ab-test-server/readme.md

@@ -22,7 +22,7 @@
 </h4>
 
 <h4 align="center">
-    <a href="https://docs.litellm.ai/docs/completion/supported" target="_blank">100+ Supported Models</a> |
+    <a href="https://docs.litellm.ai/docs/providers" target="_blank">100+ Supported Models</a> |
     <a href="https://docs.litellm.ai/docs/" target="_blank">Docs</a> |
     <a href="https://litellm.ai/playground" target="_blank">Demo Website</a>
 </h4>
@@ -101,7 +101,7 @@ python3 main.py
 ### Set your LLM Configs
 Set your LLMs and LLM weights you want to run A/B testing with 
 In main.py set your selected LLMs you want to AB test in `llm_dict`
-You can A/B test more than 100+ LLMs using LiteLLM https://docs.litellm.ai/docs/completion/supported
+You can A/B test more than 100+ LLMs using LiteLLM https://docs.litellm.ai/docs/providers
 ```python
 llm_dict = {
     "gpt-4": 0.2,
@@ -114,7 +114,7 @@ llm_dict = {
 #### Setting your API Keys 
 Set your LLM API keys in a .env file in the directory or set them as `os.environ` variables.
 
-See https://docs.litellm.ai/docs/completion/supported for the format of API keys 
+See https://docs.litellm.ai/docs/providers for the format of API keys 
 
 LiteLLM generalizes api keys to follow the following format 
 `PROVIDER_API_KEY`

docs/my-website/docs/index.md

@@ -1,7 +1,7 @@
 ---
 displayed_sidebar: tutorialSidebar
 ---
-# litellm
+# Litellm
 
 import QueryParamReader from '../src/components/queryParamReader.js'
 
@@ -21,7 +21,7 @@ a light package to simplify calling OpenAI, Azure, Cohere, Anthropic, Huggingfac
 
 # 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/providers' 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>
 
 Demo - https://litellm.ai/playground \
 Read the docs - https://docs.litellm.ai/docs/

docs/my-website/docs/tutorials/ab_test_llms.md

@@ -10,7 +10,7 @@ In this tutorial, we'll walk through A/B testing between GPT-4 and Llama2 in pro
 
 
 * [Deploying models on Huggingface](https://huggingface.co/docs/inference-endpoints/guides/create_endpoint)
-* [All supported providers on LiteLLM](https://docs.litellm.ai/docs/completion/supported)
+* [All supported providers on LiteLLM](https://docs.litellm.ai/docs/providers)
 
 # Code Walkthrough
 

docs/my-website/docs/tutorials/compare_llms_2.md

@@ -76,7 +76,7 @@ os.environ['ANTHROPIC_API_KEY'] = ""
 ``` python
 results = [] # for storing results
 
-models = ['gpt-3.5-turbo', 'claude-2'] # define what models you're testing, see: https://docs.litellm.ai/docs/completion/supported
+models = ['gpt-3.5-turbo', 'claude-2'] # define what models you're testing, see: https://docs.litellm.ai/docs/providers
 for question in questions:
     row = [question]
     for model in models:

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

@@ -16,7 +16,7 @@ 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/providers' 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>
 
 Demo - https://litellm.ai/playground \
 Read the docs - https://docs.litellm.ai/docs/

litellm/__init__.py

@@ -144,7 +144,7 @@ huggingface_models = [
     "meta-llama/Llama-2-13b-chat",
     "meta-llama/Llama-2-70b",
     "meta-llama/Llama-2-70b-chat",
-]  # these have been tested on extensively. But by default all text2text-generation and text-generation models are supported by liteLLM. - https://docs.litellm.ai/docs/completion/supported
+]  # these have been tested on extensively. But by default all text2text-generation and text-generation models are supported by liteLLM. - https://docs.litellm.ai/docs/providers
 
 ai21_models = ["j2-ultra", "j2-mid", "j2-light"]