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authorS. Solomon Darnell2025-03-28 21:52:21 -0500
committerS. Solomon Darnell2025-03-28 21:52:21 -0500
commit4a52a71956a8d46fcb7294ac71734504bb09bcc2 (patch)
treeee3dc5af3b6313e921cd920906356f5d4febc4ed /.venv/lib/python3.12/site-packages/litellm/llms/together_ai/rerank/handler.py
parentcc961e04ba734dd72309fb548a2f97d67d578813 (diff)
downloadgn-ai-master.tar.gz
two version of R2R are here HEAD master
Diffstat (limited to '.venv/lib/python3.12/site-packages/litellm/llms/together_ai/rerank/handler.py')
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diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/together_ai/rerank/handler.py b/.venv/lib/python3.12/site-packages/litellm/llms/together_ai/rerank/handler.py
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+++ b/.venv/lib/python3.12/site-packages/litellm/llms/together_ai/rerank/handler.py
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+"""
+Re rank api
+
+LiteLLM supports the re rank API format, no paramter transformation occurs
+"""
+
+from typing import Any, Dict, List, Optional, Union
+
+import litellm
+from litellm.llms.base import BaseLLM
+from litellm.llms.custom_httpx.http_handler import (
+    _get_httpx_client,
+    get_async_httpx_client,
+)
+from litellm.llms.together_ai.rerank.transformation import TogetherAIRerankConfig
+from litellm.types.rerank import RerankRequest, RerankResponse
+
+
+class TogetherAIRerank(BaseLLM):
+    def rerank(
+        self,
+        model: str,
+        api_key: str,
+        query: str,
+        documents: List[Union[str, Dict[str, Any]]],
+        top_n: Optional[int] = None,
+        rank_fields: Optional[List[str]] = None,
+        return_documents: Optional[bool] = True,
+        max_chunks_per_doc: Optional[int] = None,
+        _is_async: Optional[bool] = False,
+    ) -> RerankResponse:
+        client = _get_httpx_client()
+
+        request_data = RerankRequest(
+            model=model,
+            query=query,
+            top_n=top_n,
+            documents=documents,
+            rank_fields=rank_fields,
+            return_documents=return_documents,
+        )
+
+        # exclude None values from request_data
+        request_data_dict = request_data.dict(exclude_none=True)
+        if max_chunks_per_doc is not None:
+            raise ValueError("TogetherAI does not support max_chunks_per_doc")
+
+        if _is_async:
+            return self.async_rerank(request_data_dict, api_key)  # type: ignore # Call async method
+
+        response = client.post(
+            "https://api.together.xyz/v1/rerank",
+            headers={
+                "accept": "application/json",
+                "content-type": "application/json",
+                "authorization": f"Bearer {api_key}",
+            },
+            json=request_data_dict,
+        )
+
+        if response.status_code != 200:
+            raise Exception(response.text)
+
+        _json_response = response.json()
+
+        return TogetherAIRerankConfig()._transform_response(_json_response)
+
+    async def async_rerank(  # New async method
+        self,
+        request_data_dict: Dict[str, Any],
+        api_key: str,
+    ) -> RerankResponse:
+        client = get_async_httpx_client(
+            llm_provider=litellm.LlmProviders.TOGETHER_AI
+        )  # Use async client
+
+        response = await client.post(
+            "https://api.together.xyz/v1/rerank",
+            headers={
+                "accept": "application/json",
+                "content-type": "application/json",
+                "authorization": f"Bearer {api_key}",
+            },
+            json=request_data_dict,
+        )
+
+        if response.status_code != 200:
+            raise Exception(response.text)
+
+        _json_response = response.json()
+
+        return TogetherAIRerankConfig()._transform_response(_json_response)