Add Cohere rerank model v3.5

autorag/nodes/passagereranker/cohere.py

@@ -24,13 +24,15 @@ def __init__(self, project_dir: str, *args, **kwargs):
 		super().__init__(project_dir)
 		api_key = kwargs.pop("api_key", None)
 		api_key = os.getenv("COHERE_API_KEY", None) if api_key is None else api_key
+		if api_key is None:
+			api_key = os.getenv("CO_API_KEY", None)
 		if api_key is None:
 			raise KeyError(
 				"Please set the API key for Cohere rerank in the environment variable COHERE_API_KEY "
 				"or directly set it on the config YAML file."
 			)
 
-		self.cohere_client = cohere.AsyncClient(api_key)
+		self.cohere_client = cohere.AsyncClientV2(api_key=api_key)
 
 	def __del__(self):
 		del self.cohere_client
@@ -41,7 +43,7 @@ def pure(self, previous_result: pd.DataFrame, *args, **kwargs):
 		queries, contents, scores, ids = self.cast_to_run(previous_result)
 		top_k = kwargs.pop("top_k")
 		batch = kwargs.pop("batch", 64)
-		model = kwargs.pop("model", "rerank-multilingual-v2.0")
+		model = kwargs.pop("model", "rerank-v3.5")
 		return self._pure(queries, contents, scores, ids, top_k, batch, model)
 
 	def _pure(
@@ -52,7 +54,7 @@ def _pure(
 		ids_list: List[List[str]],
 		top_k: int,
 		batch: int = 64,
-		model: str = "rerank-multilingual-v2.0",
+		model: str = "rerank-v3.5",
 	) -> Tuple[List[List[str]], List[List[str]], List[List[float]]]:
 		"""
 		Rerank a list of contents with Cohere rerank models.
@@ -65,8 +67,8 @@ def _pure(
 		:param top_k: The number of passages to be retrieved
 		:param batch: The number of queries to be processed in a batch
 		:param model: The model name for Cohere rerank.
-		    You can choose between "rerank-multilingual-v2.0" and "rerank-english-v2.0".
-		    Default is "rerank-multilingual-v2.0".
+		    You can choose between "rerank-v3.5", "rerank-english-v3.0", and "rerank-multilingual-v3.0".
+		    Default is "rerank-v3.5".
 		:return: Tuple of lists containing the reranked contents, ids, and scores
 		"""
 		# Run async cohere_rerank_pure function

docs/source/nodes/passage_reranker/cohere.md

@@ -21,6 +21,12 @@ Next, you can set your Cohere API key in the environment variable.
 export COHERE_API_KEY=your_cohere_api_key
 ```
 
+or
+
+```bash
+export CO_API_KEY=your_cohere_api_key
+```
+
 Or, you can set your Cohere API key in the config.yaml file directly.
 
 ```yaml
@@ -34,8 +40,9 @@ Or, you can set your Cohere API key in the config.yaml file directly.
   It sends the batch size of passages to cohere API at once.
   If it is too large, it can cause some error.
   (default: 64)
-- **model** : The type of model you want to use for reranking. Default is "rerank-multilingual-v2.0" and you can change
-  it to "rerank-multilingual-v1.0" or "rerank-english-v2.0" (default: "rerank-multilingual-v2.0")
+- **model** : The type of model you want to use for reranking.
+  Default is "rerank-v3.5" and you can change
+  it to "rerank-v3.5" or "rerank-english-v3.0" or "rerank-multilingual-v3.0"
 - **api_key** : The cohere api key.
 
 ## **Example config.yaml**

tests/autorag/nodes/passagereranker/test_cohere_reranker.py

@@ -1,6 +1,7 @@
+import os
 from unittest.mock import patch
 
-import cohere.base_client
+import cohere
 import pytest
 from cohere import RerankResponse, RerankResponseResultsItem
 
@@ -48,7 +49,7 @@ def cohere_reranker_instance():
 	return CohereReranker(project_dir=project_dir, api_key="test")
 
 
-@patch.object(cohere.base_client.AsyncBaseCohere, "rerank", mock_cohere_reranker)
+@patch.object(cohere.client_v2.AsyncClientV2, "rerank", mock_cohere_reranker)
 def test_cohere_reranker(cohere_reranker_instance):
 	top_k = 3
 	contents_result, id_result, score_result = cohere_reranker_instance._pure(
@@ -57,7 +58,7 @@ def test_cohere_reranker(cohere_reranker_instance):
 	base_reranker_test(contents_result, id_result, score_result, top_k)
 
 
-@patch.object(cohere.base_client.AsyncBaseCohere, "rerank", mock_cohere_reranker)
+@patch.object(cohere.client_v2.AsyncClientV2, "rerank", mock_cohere_reranker)
 def test_cohere_reranker_batch_one(cohere_reranker_instance):
 	top_k = 3
 	batch = 1
@@ -72,8 +73,9 @@ def test_cohere_reranker_batch_one(cohere_reranker_instance):
 	base_reranker_test(contents_result, id_result, score_result, top_k)
 
 
-@patch.object(cohere.base_client.AsyncBaseCohere, "rerank", mock_cohere_reranker)
+@patch.object(cohere.client_v2.AsyncClientV2, "rerank", mock_cohere_reranker)
 def test_cohere_node():
+	os.environ["CO_API_KEY"] = "test"
 	top_k = 1
 	result_df = CohereReranker.run_evaluator(
 		project_dir=project_dir, previous_result=previous_result, top_k=top_k

tests/autorag/nodes/passagereranker/test_jina_reranker.py

@@ -1,3 +1,4 @@
+import os
 from unittest.mock import patch
 
 import aiohttp
@@ -103,6 +104,7 @@ def test_jina_reranker_batch_one(jina_reranker_instance):
 	autorag.nodes.passagereranker.jina, "jina_reranker_pure", mock_jina_reranker_pure
 )
 def test_jina_reranker_node():
+	os.environ["JINAAI_API_KEY"] = "test"
 	top_k = 1
 	result_df = JinaReranker.run_evaluator(
 		project_dir=project_dir, previous_result=previous_result, top_k=top_k

tests/conftest.py

@@ -3,5 +3,3 @@
 
 def pytest_sessionstart(session):
 	os.environ["BM25"] = "bm25"
-	os.environ["JINAAI_API_KEY"] = "mock_jinaai_api_key"
-	os.environ["COHERE_API_KEY"] = "mock_cohere_api_key"