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/watsonx/chat/transformation.py    | 110 +++++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 .venv/lib/python3.12/site-packages/litellm/llms/watsonx/chat/transformation.py

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

diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/watsonx/chat/transformation.py b/.venv/lib/python3.12/site-packages/litellm/llms/watsonx/chat/transformation.py
new file mode 100644
index 00000000..f253da6f
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/litellm/llms/watsonx/chat/transformation.py
@@ -0,0 +1,110 @@
+"""
+Translation from OpenAI's `/chat/completions` endpoint to IBM WatsonX's `/text/chat` endpoint.
+
+Docs: https://cloud.ibm.com/apidocs/watsonx-ai#text-chat
+"""
+
+from typing import List, Optional, Tuple, Union
+
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.llms.watsonx import WatsonXAIEndpoint
+
+from ....utils import _remove_additional_properties, _remove_strict_from_schema
+from ...openai.chat.gpt_transformation import OpenAIGPTConfig
+from ..common_utils import IBMWatsonXMixin
+
+
+class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig):
+
+    def get_supported_openai_params(self, model: str) -> List:
+        return [
+            "temperature",  # equivalent to temperature
+            "max_tokens",  # equivalent to max_new_tokens
+            "top_p",  # equivalent to top_p
+            "frequency_penalty",  # equivalent to repetition_penalty
+            "stop",  # equivalent to stop_sequences
+            "seed",  # equivalent to random_seed
+            "stream",  # equivalent to stream
+            "tools",
+            "tool_choice",  # equivalent to tool_choice + tool_choice_options
+            "logprobs",
+            "top_logprobs",
+            "n",
+            "presence_penalty",
+            "response_format",
+        ]
+
+    def is_tool_choice_option(self, tool_choice: Optional[Union[str, dict]]) -> bool:
+        if tool_choice is None:
+            return False
+        if isinstance(tool_choice, str):
+            return tool_choice in ["auto", "none", "required"]
+        return False
+
+    def map_openai_params(
+        self,
+        non_default_params: dict,
+        optional_params: dict,
+        model: str,
+        drop_params: bool,
+    ) -> dict:
+        ## TOOLS ##
+        _tools = non_default_params.pop("tools", None)
+        if _tools is not None:
+            # remove 'additionalProperties' from tools
+            _tools = _remove_additional_properties(_tools)
+            # remove 'strict' from tools
+            _tools = _remove_strict_from_schema(_tools)
+        if _tools is not None:
+            non_default_params["tools"] = _tools
+
+        ## TOOL CHOICE ##
+
+        _tool_choice = non_default_params.pop("tool_choice", None)
+        if self.is_tool_choice_option(_tool_choice):
+            optional_params["tool_choice_options"] = _tool_choice
+        elif _tool_choice is not None:
+            optional_params["tool_choice"] = _tool_choice
+        return super().map_openai_params(
+            non_default_params, optional_params, model, drop_params
+        )
+
+    def _get_openai_compatible_provider_info(
+        self, api_base: Optional[str], api_key: Optional[str]
+    ) -> Tuple[Optional[str], Optional[str]]:
+        api_base = api_base or get_secret_str("HOSTED_VLLM_API_BASE")  # type: ignore
+        dynamic_api_key = (
+            api_key or get_secret_str("HOSTED_VLLM_API_KEY") or ""
+        )  # vllm does not require an api key
+        return api_base, dynamic_api_key
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
+        url = self._get_base_url(api_base=api_base)
+        if model.startswith("deployment/"):
+            deployment_id = "/".join(model.split("/")[1:])
+            endpoint = (
+                WatsonXAIEndpoint.DEPLOYMENT_CHAT_STREAM.value
+                if stream
+                else WatsonXAIEndpoint.DEPLOYMENT_CHAT.value
+            )
+            endpoint = endpoint.format(deployment_id=deployment_id)
+        else:
+            endpoint = (
+                WatsonXAIEndpoint.CHAT_STREAM.value
+                if stream
+                else WatsonXAIEndpoint.CHAT.value
+            )
+        url = url.rstrip("/") + endpoint
+
+        ## add api version
+        url = self._add_api_version_to_url(
+            url=url, api_version=optional_params.pop("api_version", None)
+        )
+        return url
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