diff --git a/README.md b/README.md
index 68aaa09ec98..e8d0fe89ba3 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@
Open Source AI Gateway for 100+ LLMs. Self-hosted. Enterprise-ready. Call any LLM in OpenAI format.
-
+
diff --git a/cookbook/litellm_proxy_server/readme.md b/cookbook/litellm_proxy_server/readme.md
index 2c1eab72c24..5ac80e47d6a 100644
--- a/cookbook/litellm_proxy_server/readme.md
+++ b/cookbook/litellm_proxy_server/readme.md
@@ -7,7 +7,7 @@

[](https://github.com/BerriAI/litellm)
-[](https://railway.app/template/DYqQAW?referralCode=t3ukrU)
+[](https://railway.com/deploy/litellm)

@@ -33,7 +33,7 @@
- Call all models using the OpenAI format - `completion(model, messages)`
- Text responses will always be available at `['choices'][0]['message']['content']`
- **Error Handling** Using Model Fallbacks (if `GPT-4` fails, try `llama2`)
-- **Logging** - Log Requests, Responses and Errors to `Supabase`, `Posthog`, `Mixpanel`, `Sentry`, `Lunary`,`Athina`, `Helicone` (Any of the supported providers here: https://litellm.readthedocs.io/en/latest/advanced/
+- **Logging** - Log Requests, Responses and Errors to `Supabase`, `Posthog`, `Mixpanel`, `Sentry`, `Lunary`,`Athina`, `Helicone` (Any of the supported providers here: https://docs.litellm.ai/docs/proxy/logging
**Example: Logs sent to Supabase**
@@ -52,10 +52,10 @@ This endpoint is used to generate chat completions for 50+ support LLM API Model
This API endpoint accepts all inputs in raw JSON and expects the following inputs
-- `model` (string, required): ID of the model to use for chat completions. See all supported models [here]: (https://litellm.readthedocs.io/en/latest/supported/):
+- `model` (string, required): ID of the model to use for chat completions. See all supported models [here]: (https://docs.litellm.ai/docs/providers):
eg `gpt-3.5-turbo`, `gpt-4`, `claude-2`, `command-nightly`, `stabilityai/stablecode-completion-alpha-3b-4k`
- `messages` (array, required): A list of messages representing the conversation context. Each message should have a `role` (system, user, assistant, or function), `content` (message text), and `name` (for function role).
-- Additional Optional parameters: `temperature`, `functions`, `function_call`, `top_p`, `n`, `stream`. See the full list of supported inputs here: https://litellm.readthedocs.io/en/latest/input/
+- Additional Optional parameters: `temperature`, `functions`, `function_call`, `top_p`, `n`, `stream`. See the full list of supported inputs here: https://docs.litellm.ai/docs/completion/input
#### Example JSON body
@@ -102,7 +102,7 @@ print(response.text)
### Output [Response Format]
Responses from the server are given in the following format.
-All responses from the server are returned in the following format (for all LLM models). More info on output here: https://litellm.readthedocs.io/en/latest/output/
+All responses from the server are returned in the following format (for all LLM models). More info on output here: https://docs.litellm.ai/docs/completion/output
```json
{
@@ -155,7 +155,7 @@ All responses from the server are returned in the following format (for all LLM
1. Quick Start: Deploy on Railway
- [](https://railway.app/template/DYqQAW?referralCode=t3ukrU)
+ [](https://railway.com/deploy/litellm)
2. `GCP`, `AWS`, `Azure`
This project includes a `Dockerfile` allowing you to build and deploy a Docker Project on your providers