diff --git a/integrations/amazon_bedrock/CHANGELOG.md b/integrations/amazon_bedrock/CHANGELOG.md
index 1068e870a..8e4350423 100644
--- a/integrations/amazon_bedrock/CHANGELOG.md
+++ b/integrations/amazon_bedrock/CHANGELOG.md
@@ -1,27 +1,45 @@
 # Changelog
 
+## [integrations/amazon_bedrock-v1.1.1] - 2024-12-03
+
+### 🐛 Bug Fixes
+
+- AmazonBedrockChatGenerator with Claude raises moot warning for stream… (#1205)
+- Allow passing boto3 config to all  AWS Bedrock classes (#1166)
+
+### 🧹 Chores
+
+- Fix linting/isort (#1215)
+
+### 🌀 Miscellaneous
+
+- Chore: use class methods to create `ChatMessage` (#1222)
+
 ## [integrations/amazon_bedrock-v1.1.0] - 2024-10-23
 
 ### 🚜 Refactor
 
 - Avoid downloading tokenizer if `truncate` is `False` (#1152)
 
-### ⚙️ Miscellaneous Tasks
+### ⚙️ CI
 
 - Adopt uv as installer (#1142)
 
+
 ## [integrations/amazon_bedrock-v1.0.5] - 2024-10-17
 
 ### 🚀 Features
 
 - Add prefixes to supported model patterns to allow cross region model ids (#1127)
 
+
 ## [integrations/amazon_bedrock-v1.0.4] - 2024-10-16
 
 ### 🐛 Bug Fixes
 
 - Avoid bedrock read timeout (add boto3_config param) (#1135)
 
+
 ## [integrations/amazon_bedrock-v1.0.3] - 2024-10-04
 
 ### 🐛 Bug Fixes
@@ -33,10 +51,14 @@
 
 - Remove usage of deprecated `ChatMessage.to_openai_format` (#1007)
 
-### ⚙️ Miscellaneous Tasks
+### 🧹 Chores
 
 - Update ruff linting scripts and settings (#1105)
 
+### 🌀 Miscellaneous
+
+- Modify regex to allow cross-region inference in bedrock  (#1120)
+
 ## [integrations/amazon_bedrock-v1.0.1] - 2024-08-19
 
 ### 🚀 Features
@@ -47,6 +69,7 @@
 
 - Normalising ChatGenerators output (#973)
 
+
 ## [integrations/amazon_bedrock-v1.0.0] - 2024-08-12
 
 ### 🚜 Refactor
@@ -57,13 +80,14 @@
 
 - Do not retry tests in `hatch run test` command (#954)
 
+
 ## [integrations/amazon_bedrock-v0.10.0] - 2024-08-12
 
 ### 🐛 Bug Fixes
 
 - Support streaming_callback param in amazon bedrock generators (#927)
 
-### Docs
+### 🌀 Miscellaneous
 
 - Update AmazonBedrockChatGenerator docstrings (#949)
 - Update AmazonBedrockGenerator docstrings (#956)
@@ -75,11 +99,19 @@
 - Use non-gated tokenizer as fallback for mistral in AmazonBedrockChatGenerator (#843)
 - Made truncation optional for BedrockGenerator (#833)
 
-### ⚙️ Miscellaneous Tasks
+### ⚙️ CI
 
 - Retry tests to reduce flakyness (#836)
+
+### 🧹 Chores
+
 - Update ruff invocation to include check parameter (#853)
 
+### 🌀 Miscellaneous
+
+- Ci: install `pytest-rerunfailures` where needed; add retry config to `test-cov` script (#845)
+- Add meta deprecration warning (#910)
+
 ## [integrations/amazon_bedrock-v0.9.0] - 2024-06-14
 
 ### 🚀 Features
@@ -96,8 +128,18 @@
 
 - Max_tokens typo in Mistral Chat (#740)
 
+### 🌀 Miscellaneous
+
+- Chore: change the pydoc renderer class (#718)
+- Adding support of "amazon.titan-embed-text-v2:0" (#735)
+
 ## [integrations/amazon_bedrock-v0.7.1] - 2024-04-24
 
+### 🌀 Miscellaneous
+
+- Chore: add license classifiers (#680)
+- Fix: Fix streaming_callback serialization in AmazonBedrockChatGenerator (#685)
+
 ## [integrations/amazon_bedrock-v0.7.0] - 2024-04-16
 
 ### 🚀 Features
@@ -108,6 +150,11 @@
 
 - Disable-class-def (#556)
 
+### 🌀 Miscellaneous
+
+- Remove references to Python 3.7 (#601)
+- [Bedrock] Added Amazon Bedrock examples (#635)
+
 ## [integrations/amazon_bedrock-v0.6.0] - 2024-03-11
 
 ### 🚀 Features
@@ -119,6 +166,10 @@
 - Small consistency improvements (#536)
 - Review integrations bedrock (#550)
 
+### 🌀 Miscellaneous
+
+- Docs updates + two additional unit tests (#513)
+
 ## [integrations/amazon_bedrock-v0.5.1] - 2024-02-22
 
 ### 🚀 Features
@@ -129,20 +180,27 @@
 
 - Fix order of API docs (#447)
 
-This PR will also push the docs to Readme
-
 ### 📚 Documentation
 
 - Update category slug (#442)
 
-### ⚙️ Miscellaneous Tasks
+### 🧹 Chores
 
 - Update Amazon Bedrock integration to use new generic callable (de)serializers for their callback handlers (#452)
 - Use `serialize_callable` instead of `serialize_callback_handler` in Bedrock (#459)
 
+### 🌀 Miscellaneous
+
+- Amazon bedrock: generate api docs (#326)
+- Adopt Secret to Amazon Bedrock (#416)
+- Bedrock - remove `supports` method (#456)
+- Bedrock refactoring (#455)
+- Bedrock Text Embedder (#466)
+- Bedrock Document Embedder (#468)
+
 ## [integrations/amazon_bedrock-v0.3.0] - 2024-01-30
 
-### ⚙️ Miscellaneous Tasks
+### 🧹 Chores
 
 - [**breaking**] Rename `model_name` to `model` in `AmazonBedrockGenerator` (#220)
 - Amazon Bedrock subproject refactoring (#293)
@@ -150,4 +208,8 @@ This PR will also push the docs to Readme
 
 ## [integrations/amazon_bedrock-v0.1.0] - 2024-01-03
 
+### 🌀 Miscellaneous
+
+- [Amazon Bedrock] Add AmazonBedrockGenerator (#153)
+
 <!-- generated by git-cliff -->
diff --git a/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/document_embedder.py b/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/document_embedder.py
index f2906c00d..f15601f57 100755
--- a/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/document_embedder.py
+++ b/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/document_embedder.py
@@ -2,6 +2,7 @@
 import logging
 from typing import Any, Dict, List, Literal, Optional
 
+from botocore.config import Config
 from botocore.exceptions import ClientError
 from haystack import component, default_from_dict, default_to_dict
 from haystack.dataclasses import Document
@@ -73,6 +74,7 @@ def __init__(
         progress_bar: bool = True,
         meta_fields_to_embed: Optional[List[str]] = None,
         embedding_separator: str = "\n",
+        boto3_config: Optional[Dict[str, Any]] = None,
         **kwargs,
     ):
         """
@@ -98,6 +100,7 @@ def __init__(
             to keep the logs clean.
         :param meta_fields_to_embed: List of meta fields that should be embedded along with the Document text.
         :param embedding_separator: Separator used to concatenate the meta fields to the Document text.
+        :param boto3_config: The configuration for the boto3 client.
         :param kwargs: Additional parameters to pass for model inference. For example, `input_type` and `truncate` for
             Cohere models.
         :raises ValueError: If the model is not supported.
@@ -110,6 +113,19 @@ def __init__(
             )
             raise ValueError(msg)
 
+        self.model = model
+        self.aws_access_key_id = aws_access_key_id
+        self.aws_secret_access_key = aws_secret_access_key
+        self.aws_session_token = aws_session_token
+        self.aws_region_name = aws_region_name
+        self.aws_profile_name = aws_profile_name
+        self.batch_size = batch_size
+        self.progress_bar = progress_bar
+        self.meta_fields_to_embed = meta_fields_to_embed or []
+        self.embedding_separator = embedding_separator
+        self.boto3_config = boto3_config
+        self.kwargs = kwargs
+
         def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
             return secret.resolve_value() if secret else None
 
@@ -121,7 +137,10 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
                 aws_region_name=resolve_secret(aws_region_name),
                 aws_profile_name=resolve_secret(aws_profile_name),
             )
-            self._client = session.client("bedrock-runtime")
+            config: Optional[Config] = None
+            if self.boto3_config:
+                config = Config(**self.boto3_config)
+            self._client = session.client("bedrock-runtime", config=config)
         except Exception as exception:
             msg = (
                 "Could not connect to Amazon Bedrock. Make sure the AWS environment is configured correctly. "
@@ -129,18 +148,6 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
             )
             raise AmazonBedrockConfigurationError(msg) from exception
 
-        self.model = model
-        self.aws_access_key_id = aws_access_key_id
-        self.aws_secret_access_key = aws_secret_access_key
-        self.aws_session_token = aws_session_token
-        self.aws_region_name = aws_region_name
-        self.aws_profile_name = aws_profile_name
-        self.batch_size = batch_size
-        self.progress_bar = progress_bar
-        self.meta_fields_to_embed = meta_fields_to_embed or []
-        self.embedding_separator = embedding_separator
-        self.kwargs = kwargs
-
     def _prepare_texts_to_embed(self, documents: List[Document]) -> List[str]:
         """
         Prepare the texts to embed by concatenating the Document text with the metadata fields to embed.
@@ -269,6 +276,7 @@ def to_dict(self) -> Dict[str, Any]:
             progress_bar=self.progress_bar,
             meta_fields_to_embed=self.meta_fields_to_embed,
             embedding_separator=self.embedding_separator,
+            boto3_config=self.boto3_config,
             **self.kwargs,
         )
 
diff --git a/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/text_embedder.py b/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/text_embedder.py
index 0cceda92f..0acd51da5 100755
--- a/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/text_embedder.py
+++ b/integrations/amazon_bedrock/src/haystack_integrations/components/embedders/amazon_bedrock/text_embedder.py
@@ -2,6 +2,7 @@
 import logging
 from typing import Any, Dict, List, Literal, Optional
 
+from botocore.config import Config
 from botocore.exceptions import ClientError
 from haystack import component, default_from_dict, default_to_dict
 from haystack.utils.auth import Secret, deserialize_secrets_inplace
@@ -62,6 +63,7 @@ def __init__(
         aws_session_token: Optional[Secret] = Secret.from_env_var("AWS_SESSION_TOKEN", strict=False),  # noqa: B008
         aws_region_name: Optional[Secret] = Secret.from_env_var("AWS_DEFAULT_REGION", strict=False),  # noqa: B008
         aws_profile_name: Optional[Secret] = Secret.from_env_var("AWS_PROFILE", strict=False),  # noqa: B008
+        boto3_config: Optional[Dict[str, Any]] = None,
         **kwargs,
     ):
         """
@@ -81,6 +83,7 @@ def __init__(
         :param aws_session_token: AWS session token.
         :param aws_region_name: AWS region name.
         :param aws_profile_name: AWS profile name.
+        :param boto3_config: The configuration for the boto3 client.
         :param kwargs: Additional parameters to pass for model inference. For example, `input_type` and `truncate` for
             Cohere models.
         :raises ValueError: If the model is not supported.
@@ -92,6 +95,15 @@ def __init__(
             )
             raise ValueError(msg)
 
+        self.model = model
+        self.aws_access_key_id = aws_access_key_id
+        self.aws_secret_access_key = aws_secret_access_key
+        self.aws_session_token = aws_session_token
+        self.aws_region_name = aws_region_name
+        self.aws_profile_name = aws_profile_name
+        self.boto3_config = boto3_config
+        self.kwargs = kwargs
+
         def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
             return secret.resolve_value() if secret else None
 
@@ -103,7 +115,10 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
                 aws_region_name=resolve_secret(aws_region_name),
                 aws_profile_name=resolve_secret(aws_profile_name),
             )
-            self._client = session.client("bedrock-runtime")
+            config: Optional[Config] = None
+            if self.boto3_config:
+                config = Config(**self.boto3_config)
+            self._client = session.client("bedrock-runtime", config=config)
         except Exception as exception:
             msg = (
                 "Could not connect to Amazon Bedrock. Make sure the AWS environment is configured correctly. "
@@ -111,14 +126,6 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
             )
             raise AmazonBedrockConfigurationError(msg) from exception
 
-        self.model = model
-        self.aws_access_key_id = aws_access_key_id
-        self.aws_secret_access_key = aws_secret_access_key
-        self.aws_session_token = aws_session_token
-        self.aws_region_name = aws_region_name
-        self.aws_profile_name = aws_profile_name
-        self.kwargs = kwargs
-
     @component.output_types(embedding=List[float])
     def run(self, text: str):
         """Embeds the input text using the Amazon Bedrock model.
@@ -185,6 +192,7 @@ def to_dict(self) -> Dict[str, Any]:
             aws_region_name=self.aws_region_name.to_dict() if self.aws_region_name else None,
             aws_profile_name=self.aws_profile_name.to_dict() if self.aws_profile_name else None,
             model=self.model,
+            boto3_config=self.boto3_config,
             **self.kwargs,
         )
 
diff --git a/integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/chat/chat_generator.py b/integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/chat/chat_generator.py
index 6bb3cc301..183198bce 100644
--- a/integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/chat/chat_generator.py
+++ b/integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/chat/chat_generator.py
@@ -3,6 +3,7 @@
 import re
 from typing import Any, Callable, ClassVar, Dict, List, Optional, Type
 
+from botocore.config import Config
 from botocore.exceptions import ClientError
 from haystack import component, default_from_dict, default_to_dict
 from haystack.dataclasses import ChatMessage, StreamingChunk
@@ -77,6 +78,7 @@ def __init__(
         stop_words: Optional[List[str]] = None,
         streaming_callback: Optional[Callable[[StreamingChunk], None]] = None,
         truncate: Optional[bool] = True,
+        boto3_config: Optional[Dict[str, Any]] = None,
     ):
         """
         Initializes the `AmazonBedrockChatGenerator` with the provided parameters. The parameters are passed to the
@@ -110,6 +112,11 @@ def __init__(
           [StreamingChunk](https://docs.haystack.deepset.ai/docs/data-classes#streamingchunk) object and
         switches the streaming mode on.
         :param truncate: Whether to truncate the prompt messages or not.
+        :param boto3_config: The configuration for the boto3 client.
+
+        :raises ValueError: If the model name is empty or None.
+        :raises AmazonBedrockConfigurationError: If the AWS environment is not configured correctly or the model is
+            not supported.
         """
         if not model:
             msg = "'model' cannot be None or empty string"
@@ -120,7 +127,10 @@ def __init__(
         self.aws_session_token = aws_session_token
         self.aws_region_name = aws_region_name
         self.aws_profile_name = aws_profile_name
+        self.stop_words = stop_words or []
+        self.streaming_callback = streaming_callback
         self.truncate = truncate
+        self.boto3_config = boto3_config
 
         # get the model adapter for the given model
         model_adapter_cls = self.get_model_adapter(model=model)
@@ -141,7 +151,10 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
                 aws_region_name=resolve_secret(aws_region_name),
                 aws_profile_name=resolve_secret(aws_profile_name),
             )
-            self.client = session.client("bedrock-runtime")
+            config: Optional[Config] = None
+            if self.boto3_config:
+                config = Config(**self.boto3_config)
+            self.client = session.client("bedrock-runtime", config=config)
         except Exception as exception:
             msg = (
                 "Could not connect to Amazon Bedrock. Make sure the AWS environment is configured correctly. "
@@ -149,9 +162,6 @@ def resolve_secret(secret: Optional[Secret]) -> Optional[str]:
             )
             raise AmazonBedrockConfigurationError(msg) from exception
 
-        self.stop_words = stop_words or []
-        self.streaming_callback = streaming_callback
-
     @component.output_types(replies=List[ChatMessage])
     def run(
         self,
@@ -256,6 +266,7 @@ def to_dict(self) -> Dict[str, Any]:
             generation_kwargs=self.model_adapter.generation_kwargs,
             streaming_callback=callback_name,
             truncate=self.truncate,
+            boto3_config=self.boto3_config,
         )
 
     @classmethod
diff --git a/integrations/amazon_bedrock/tests/test_chat_generator.py b/integrations/amazon_bedrock/tests/test_chat_generator.py
index 22594af2c..8d6a5c3ee 100644
--- a/integrations/amazon_bedrock/tests/test_chat_generator.py
+++ b/integrations/amazon_bedrock/tests/test_chat_generator.py
@@ -1,7 +1,7 @@
 import json
 import logging
 import os
-from typing import Optional, Type
+from typing import Any, Dict, Optional, Type
 from unittest.mock import MagicMock, patch
 
 import pytest
@@ -26,7 +26,16 @@
 ]
 
 
-def test_to_dict(mock_boto3_session):
+@pytest.mark.parametrize(
+    "boto3_config",
+    [
+        None,
+        {
+            "read_timeout": 1000,
+        },
+    ],
+)
+def test_to_dict(mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
     """
     Test that the to_dict method returns the correct dictionary without aws credentials
     """
@@ -34,6 +43,7 @@ def test_to_dict(mock_boto3_session):
         model="anthropic.claude-v2",
         generation_kwargs={"temperature": 0.7},
         streaming_callback=print_streaming_chunk,
+        boto3_config=boto3_config,
     )
     expected_dict = {
         "type": KLASS,
@@ -48,13 +58,23 @@ def test_to_dict(mock_boto3_session):
             "stop_words": [],
             "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
             "truncate": True,
+            "boto3_config": boto3_config,
         },
     }
 
     assert generator.to_dict() == expected_dict
 
 
-def test_from_dict(mock_boto3_session):
+@pytest.mark.parametrize(
+    "boto3_config",
+    [
+        None,
+        {
+            "read_timeout": 1000,
+        },
+    ],
+)
+def test_from_dict(mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
     """
     Test that the from_dict method returns the correct object
     """
@@ -71,12 +91,14 @@ def test_from_dict(mock_boto3_session):
                 "generation_kwargs": {"temperature": 0.7},
                 "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
                 "truncate": True,
+                "boto3_config": boto3_config,
             },
         }
     )
     assert generator.model == "anthropic.claude-v2"
     assert generator.model_adapter.generation_kwargs == {"temperature": 0.7}
     assert generator.streaming_callback == print_streaming_chunk
+    assert generator.boto3_config == boto3_config
 
 
 def test_default_constructor(mock_boto3_session, set_env_variables):
diff --git a/integrations/amazon_bedrock/tests/test_document_embedder.py b/integrations/amazon_bedrock/tests/test_document_embedder.py
index 9856c97bb..05672e9c7 100644
--- a/integrations/amazon_bedrock/tests/test_document_embedder.py
+++ b/integrations/amazon_bedrock/tests/test_document_embedder.py
@@ -1,4 +1,5 @@
 import io
+from typing import Any, Dict, Optional
 from unittest.mock import patch
 
 import pytest
@@ -66,10 +67,20 @@ def test_connection_error(self, mock_boto3_session):
                 input_type="fake_input_type",
             )
 
-    def test_to_dict(self, mock_boto3_session):
+    @pytest.mark.parametrize(
+        "boto3_config",
+        [
+            None,
+            {
+                "read_timeout": 1000,
+            },
+        ],
+    )
+    def test_to_dict(self, mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
         embedder = AmazonBedrockDocumentEmbedder(
             model="cohere.embed-english-v3",
             input_type="search_document",
+            boto3_config=boto3_config,
         )
 
         expected_dict = {
@@ -86,12 +97,22 @@ def test_to_dict(self, mock_boto3_session):
                 "progress_bar": True,
                 "meta_fields_to_embed": [],
                 "embedding_separator": "\n",
+                "boto3_config": boto3_config,
             },
         }
 
         assert embedder.to_dict() == expected_dict
 
-    def test_from_dict(self, mock_boto3_session):
+    @pytest.mark.parametrize(
+        "boto3_config",
+        [
+            None,
+            {
+                "read_timeout": 1000,
+            },
+        ],
+    )
+    def test_from_dict(self, mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
         data = {
             "type": TYPE,
             "init_parameters": {
@@ -106,6 +127,7 @@ def test_from_dict(self, mock_boto3_session):
                 "progress_bar": True,
                 "meta_fields_to_embed": [],
                 "embedding_separator": "\n",
+                "boto3_config": boto3_config,
             },
         }
 
@@ -117,6 +139,7 @@ def test_from_dict(self, mock_boto3_session):
         assert embedder.progress_bar
         assert embedder.meta_fields_to_embed == []
         assert embedder.embedding_separator == "\n"
+        assert embedder.boto3_config == boto3_config
 
     def test_init_invalid_model(self):
         with pytest.raises(ValueError):
diff --git a/integrations/amazon_bedrock/tests/test_generator.py b/integrations/amazon_bedrock/tests/test_generator.py
index be645218e..54b185da5 100644
--- a/integrations/amazon_bedrock/tests/test_generator.py
+++ b/integrations/amazon_bedrock/tests/test_generator.py
@@ -1,4 +1,4 @@
-from typing import Optional, Type
+from typing import Any, Dict, Optional, Type
 from unittest.mock import MagicMock, call, patch
 
 import pytest
@@ -17,11 +17,22 @@
 )
 
 
-def test_to_dict(mock_boto3_session):
+@pytest.mark.parametrize(
+    "boto3_config",
+    [
+        None,
+        {
+            "read_timeout": 1000,
+        },
+    ],
+)
+def test_to_dict(mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
     """
     Test that the to_dict method returns the correct dictionary without aws credentials
     """
-    generator = AmazonBedrockGenerator(model="anthropic.claude-v2", max_length=99, truncate=False, temperature=10)
+    generator = AmazonBedrockGenerator(
+        model="anthropic.claude-v2", max_length=99, truncate=False, temperature=10, boto3_config=boto3_config
+    )
 
     expected_dict = {
         "type": "haystack_integrations.components.generators.amazon_bedrock.generator.AmazonBedrockGenerator",
@@ -36,14 +47,23 @@ def test_to_dict(mock_boto3_session):
             "truncate": False,
             "temperature": 10,
             "streaming_callback": None,
-            "boto3_config": None,
+            "boto3_config": boto3_config,
         },
     }
 
     assert generator.to_dict() == expected_dict
 
 
-def test_from_dict(mock_boto3_session):
+@pytest.mark.parametrize(
+    "boto3_config",
+    [
+        None,
+        {
+            "read_timeout": 1000,
+        },
+    ],
+)
+def test_from_dict(mock_boto3_session: Any, boto3_config: Optional[Dict[str, Any]]):
     """
     Test that the from_dict method returns the correct object
     """
@@ -58,16 +78,14 @@ def test_from_dict(mock_boto3_session):
                 "aws_profile_name": {"type": "env_var", "env_vars": ["AWS_PROFILE"], "strict": False},
                 "model": "anthropic.claude-v2",
                 "max_length": 99,
-                "boto3_config": {
-                    "read_timeout": 1000,
-                },
+                "boto3_config": boto3_config,
             },
         }
     )
 
     assert generator.max_length == 99
     assert generator.model == "anthropic.claude-v2"
-    assert generator.boto3_config == {"read_timeout": 1000}
+    assert generator.boto3_config == boto3_config
 
 
 def test_default_constructor(mock_boto3_session, set_env_variables):
diff --git a/integrations/amazon_bedrock/tests/test_text_embedder.py b/integrations/amazon_bedrock/tests/test_text_embedder.py
index 4f4e92448..2518b5c5f 100644
--- a/integrations/amazon_bedrock/tests/test_text_embedder.py
+++ b/integrations/amazon_bedrock/tests/test_text_embedder.py
@@ -59,6 +59,7 @@ def test_to_dict(self, mock_boto3_session):
                 "aws_profile_name": {"type": "env_var", "env_vars": ["AWS_PROFILE"], "strict": False},
                 "model": "cohere.embed-english-v3",
                 "input_type": "search_query",
+                "boto3_config": None,
             },
         }
 
@@ -76,6 +77,9 @@ def test_from_dict(self, mock_boto3_session):
                 "aws_profile_name": {"type": "env_var", "env_vars": ["AWS_PROFILE"], "strict": False},
                 "model": "cohere.embed-english-v3",
                 "input_type": "search_query",
+                "boto3_config": {
+                    "read_timeout": 1000,
+                },
             },
         }
 
@@ -83,6 +87,7 @@ def test_from_dict(self, mock_boto3_session):
 
         assert embedder.model == "cohere.embed-english-v3"
         assert embedder.kwargs == {"input_type": "search_query"}
+        assert embedder.boto3_config == {"read_timeout": 1000}
 
     def test_init_invalid_model(self):
         with pytest.raises(ValueError):