diff --git a/demos/currency_exchange_ollama/arch_config.yaml b/demos/currency_exchange_ollama/arch_config.yaml
index bbfbaf1e..5cb77750 100644
--- a/demos/currency_exchange_ollama/arch_config.yaml
+++ b/demos/currency_exchange_ollama/arch_config.yaml
@@ -14,12 +14,6 @@ llm_providers:
     endpoint: host.docker.internal:11434
     default: true
 
-  - name: arch-fc-cloud
-    provider_interface: openai
-    model: Arch-Function
-    endpoint: api.fc.archgw.com:443
-    protocol: https
-
 system_prompt: |
   You are a helpful assistant.
 
diff --git a/docs/source/concepts/llm_provider.rst b/docs/source/concepts/llm_provider.rst
index 498ee875..69e0b599 100644
--- a/docs/source/concepts/llm_provider.rst
+++ b/docs/source/concepts/llm_provider.rst
@@ -32,6 +32,18 @@ calls, handling retries, managing rate limits, and ensuring seamless integration
 LLMs. Simply configure the details of the LLMs your application will use, and Arch offers a unified interface to
 make outbound LLM calls.
 
+Adding custom LLM Provider
+--------------------------
+Out of the box we provide support for openai and mistral llm providers. But if you want to add your custom provider you can follow the below steps:
+
+1. Add the provider in the `llm_providers` section of the `arch_config.yaml` file. And supply details of how to reach to the provider using "endpoint"  and protocol.
+
+  - name: huggingface-qwen-2.5
+    provider_interface: openai
+    model: qwen-2.5
+    endpoint: endpoint_address:443
+    protocol: https
+
 Example: Using the OpenAI Python SDK
 ------------------------------------