Update documentation to reflect broader model support for parallel tool calling

- Update README to include all GenericChatRequest models (Grok, OpenAI, Mistral)
- Update code comments and docstrings
- Update error messages with complete model list
- Clarify that feature works with GenericChatRequest, not just Meta/Llama

Author: fede-kamel

libs/oci/README.md

@@ -79,29 +79,29 @@ structured_llm = llm.with_structured_output(Joke)
 structured_llm.invoke("Tell me a joke about programming")
 ```
 
-### 5. Use Parallel Tool Calling (Meta/Llama models only)
+### 5. Use Parallel Tool Calling
 Enable parallel tool calling to execute multiple tools simultaneously, improving performance for multi-tool workflows.
 
 ```python
 from langchain_oci import ChatOCIGenAI
 
 # Option 1: Set at class level for all tool bindings
 llm = ChatOCIGenAI(
-    model_id="meta.llama-3.3-70b-instruct",
+    model_id="meta.llama-3.3-70b-instruct",  # Works with Meta, Llama, Grok, OpenAI, Mistral
     service_endpoint="https://inference.generativeai.us-chicago-1.oci.oraclecloud.com",
     compartment_id="MY_COMPARTMENT_ID",
     parallel_tool_calls=True  # Enable parallel tool calling
 )
 
 # Option 2: Set per-binding
-llm = ChatOCIGenAI(model_id="meta.llama-3.3-70b-instruct")
+llm = ChatOCIGenAI(model_id="xai.grok-4-fast")  # Example with Grok
 llm_with_tools = llm.bind_tools(
     [get_weather, calculate_tip, get_population],
     parallel_tool_calls=True  # Tools can execute simultaneously
 )
 ```
 
-<sub>**Note:** Parallel tool calling is only supported for Meta/Llama models. Cohere models will raise an error if this parameter is used.</sub>
+<sub>**Note:** Parallel tool calling is supported for all models using GenericChatRequest (Meta, Llama, xAI Grok, OpenAI, Mistral). Cohere models will raise an error if this parameter is used.</sub>
 
 
 ## OCI Data Science Model Deployment Examples

libs/oci/langchain_oci/chat_models/oci_generative_ai.py

@@ -361,7 +361,8 @@ def messages_to_oci_params(
         if kwargs.get("is_parallel_tool_calls"):
             raise ValueError(
                 "Parallel tool calls are not supported for Cohere models. "
-                "This feature is only available for Meta/Llama models using GenericChatRequest."
+                "This feature is only available for models using GenericChatRequest "
+                "(Meta, Llama, xAI Grok, OpenAI, Mistral)."
             )
 
         is_force_single_step = kwargs.get("is_force_single_step", False)
@@ -852,7 +853,7 @@ def _should_allow_more_tool_calls(
                 result["tool_choice"] = self.oci_tool_choice_none()
             # else: Allow model to decide (default behavior)
 
-        # Add parallel tool calls support for Meta/Llama models
+        # Add parallel tool calls support (GenericChatRequest models)
         if "is_parallel_tool_calls" in kwargs:
             result["is_parallel_tool_calls"] = kwargs["is_parallel_tool_calls"]
 
@@ -1241,7 +1242,8 @@ def bind_tools(
                 If True, the model can call multiple tools simultaneously.
                 If False, tools are called sequentially.
                 If None (default), uses the class-level parallel_tool_calls setting.
-                Only supported for Meta/Llama models using GenericChatRequest.
+                Supported for models using GenericChatRequest (Meta, Llama, xAI Grok,
+                OpenAI, Mistral). Not supported for Cohere models.
             kwargs: Any additional parameters are passed directly to
                 :meth:`~langchain_oci.chat_models.oci_generative_ai.ChatOCIGenAI.bind`.
         """

libs/oci/langchain_oci/llms/oci_generative_ai.py

@@ -123,7 +123,8 @@ class OCIGenAIBase(BaseModel, ABC):
     parallel_tool_calls: bool = False
     """Whether to enable parallel function calling during tool use.
     If True, the model can call multiple tools simultaneously.
-    Only supported for Meta/Llama models using GenericChatRequest.
+    Supported for all models using GenericChatRequest (Meta, Llama, xAI Grok, OpenAI, Mistral).
+    Not supported for Cohere models.
     Default: False for backward compatibility."""
 
     model_config = ConfigDict(