Docs: Added Groq Client

docs/open_source/setting_up/index.md

@@ -2,6 +2,35 @@
 
 This guide focuses primarily on configuring and using various LLM clients supported to run Giskard's LLM-assisted functionalities. We are using [LiteLLM](https://github.com/BerriAI/litellm) to handle the model calls, you can see the list of supported models in the [LiteLLM documentation](https://docs.litellm.ai/docs/providers).
 
+
+## Groq Client Setup
+
+More information on [Groq LiteLLM documentation](https://docs.litellm.ai/docs/providers/groq)
+
+### Setup using .env variables
+
+```python
+import os
+import giskard
+
+os.environ["GROQ_API_KEY"] = "" # "my-groq-api-key"
+
+# Optional, setup a model (default LLM is llama-3.3-70b-versatile)
+giskard.llm.set_llm_model("groq/llama-3.3-70b-versatile")
+
+# Note: Groq does not currently support embedding models
+# Use another provider for embeddings if needed
+```
+
+### Setup using completion params
+
+```python
+import giskard
+
+api_key = "" # "my-groq-api-key"
+giskard.llm.set_llm_model("groq/llama-3.3-70b-versatile", api_key=api_key)
+```
+
 ## OpenAI Client Setup
 
 More information on [OpenAI LiteLLM documentation](https://docs.litellm.ai/docs/providers/openai)