diff --git a/cookbook/LiteLLM_AB_TestLLMs.ipynb b/cookbook/LiteLLM_AB_TestLLMs.ipynb
index 211c255ae..690427be8 100644
--- a/cookbook/LiteLLM_AB_TestLLMs.ipynb
+++ b/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",
diff --git a/cookbook/LiteLLM_Comparing_LLMs.ipynb b/cookbook/LiteLLM_Comparing_LLMs.ipynb
index b35369d82..7f5ce809b 100644
--- a/cookbook/LiteLLM_Comparing_LLMs.ipynb
+++ b/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",
diff --git a/cookbook/llm-ab-test-server/readme.md b/cookbook/llm-ab-test-server/readme.md
index 846cbde0c..763912a19 100644
--- a/cookbook/llm-ab-test-server/readme.md
+++ b/cookbook/llm-ab-test-server/readme.md
@@ -22,7 +22,7 @@
@@ -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`
diff --git a/docs/my-website/docs/index.md b/docs/my-website/docs/index.md
index 44faddde8..7f16fc1ac 100644
--- a/docs/my-website/docs/index.md
+++ b/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
-
+
Demo - https://litellm.ai/playground \
Read the docs - https://docs.litellm.ai/docs/
diff --git a/docs/my-website/docs/tutorials/ab_test_llms.md b/docs/my-website/docs/tutorials/ab_test_llms.md
index 426f4bf4f..3d482c053 100644
--- a/docs/my-website/docs/tutorials/ab_test_llms.md
+++ b/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
diff --git a/docs/my-website/docs/tutorials/compare_llms_2.md b/docs/my-website/docs/tutorials/compare_llms_2.md
index c4c73b174..20aee6889 100644
--- a/docs/my-website/docs/tutorials/compare_llms_2.md
+++ b/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:
diff --git a/docs/my-website/src/pages/index.md b/docs/my-website/src/pages/index.md
index e64cdab1e..653dedc9c 100644
--- a/docs/my-website/src/pages/index.md
+++ b/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
-
+
Demo - https://litellm.ai/playground \
Read the docs - https://docs.litellm.ai/docs/
diff --git a/litellm/__init__.py b/litellm/__init__.py
index f3a117ed5..f36dceecd 100644
--- a/litellm/__init__.py
+++ b/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"]