From 4a52a71956a8d46fcb7294ac71734504bb09bcc2 Mon Sep 17 00:00:00 2001
From: S. Solomon Darnell
Date: Fri, 28 Mar 2025 21:52:21 -0500
Subject: two version of R2R are here

---
 .../litellm/llms/ai21/chat/transformation.py       | 70 ++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 .venv/lib/python3.12/site-packages/litellm/llms/ai21/chat/transformation.py

(limited to '.venv/lib/python3.12/site-packages/litellm/llms/ai21/chat/transformation.py')

diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/ai21/chat/transformation.py b/.venv/lib/python3.12/site-packages/litellm/llms/ai21/chat/transformation.py
new file mode 100644
index 00000000..1a07b50d
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/litellm/llms/ai21/chat/transformation.py
@@ -0,0 +1,70 @@
+"""
+AI21 Chat Completions API
+
+this is OpenAI compatible - no translation needed / occurs
+"""
+
+from typing import Optional, Union
+
+from ...openai_like.chat.transformation import OpenAILikeChatConfig
+
+
+class AI21ChatConfig(OpenAILikeChatConfig):
+    """
+    Reference: https://docs.ai21.com/reference/jamba-15-api-ref#request-parameters
+
+    Below are the parameters:
+    """
+
+    tools: Optional[list] = None
+    response_format: Optional[dict] = None
+    documents: Optional[list] = None
+    max_tokens: Optional[int] = None
+    stop: Optional[Union[str, list]] = None
+    n: Optional[int] = None
+    stream: Optional[bool] = None
+    seed: Optional[int] = None
+    tool_choice: Optional[str] = None
+    user: Optional[str] = None
+
+    def __init__(
+        self,
+        tools: Optional[list] = None,
+        response_format: Optional[dict] = None,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        top_p: Optional[float] = None,
+        stop: Optional[Union[str, list]] = None,
+        n: Optional[int] = None,
+        stream: Optional[bool] = None,
+        seed: Optional[int] = None,
+        tool_choice: Optional[str] = None,
+        user: Optional[str] = None,
+    ) -> None:
+        locals_ = locals().copy()
+        for key, value in locals_.items():
+            if key != "self" and value is not None:
+                setattr(self.__class__, key, value)
+
+    @classmethod
+    def get_config(cls):
+        return super().get_config()
+
+    def get_supported_openai_params(self, model: str) -> list:
+        """
+        Get the supported OpenAI params for the given model
+
+        """
+
+        return [
+            "tools",
+            "response_format",
+            "max_tokens",
+            "max_completion_tokens",
+            "temperature",
+            "stop",
+            "n",
+            "stream",
+            "seed",
+            "tool_choice",
+        ]
-- 
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