Feat/bedrock anthropic client

CHANGELOG.md

@@ -2,6 +2,19 @@
 
 All notable changes to `uipath_llm_client` (core package) will be documented in this file.
 
+## [1.4.0] - 2026-03-13
+
+### New client
+- Added UiPathChatAnthropicBedrock
+
+### Tests
+- added sqlite serializer
+- test updates
+- new cassettes
+
+### Fixes
+- Added constants for VendorType and ApiFlavor
+
 ## [1.3.0] - 2026-03-10
 
 ### Version Bump

packages/uipath_langchain_client/CHANGELOG.md

@@ -2,6 +2,14 @@
 
 All notable changes to `uipath_langchain_client` will be documented in this file.
 
+## [1.4.0] - 2026-03-13
+
+### New client
+- Added UiPathChatAnthropicBedrock
+- refactored factory function to se the new client
+- brought the enums from the base client
+
+
 ## [1.3.1] - 2026-03-12
 
 ### Fix

packages/uipath_langchain_client/demo.py

@@ -19,6 +19,8 @@
 from uipath_langchain_client import get_chat_model, get_embedding_model
 from uipath_langchain_client.settings import get_default_client_settings
 
+from uipath.llm_client.settings.constants import RoutingMode
+
 
 def demo_basic_chat():
     """Demonstrate basic chat completion using the factory function."""
@@ -199,7 +201,7 @@ def demo_normalized_api():
     chat_model = get_chat_model(
         model_name="gpt-4o-2024-11-20",
         client_settings=settings,
-        client_type="normalized",  # Use normalized API
+        routing_mode=RoutingMode.NORMALIZED,  # Use normalized API
     )
 
     response = chat_model.invoke("What is machine learning in one sentence?")

packages/uipath_langchain_client/pyproject.toml

@@ -5,30 +5,30 @@ dynamic = ["version"]
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
-    "langchain>=1.2.10",
-    "uipath-llm-client>=1.3.0",
+    "langchain>=1.2.12",
+    "uipath-llm-client>=1.4.0",
 ]
 
 [project.optional-dependencies]
 openai = [
     "langchain-openai>=1.1.11",
 ]
-aws = [
-    "langchain-aws>=1.4.0",
-]
 google = [
     "langchain-google-genai>=4.2.1",
 ]
 anthropic = [
     "langchain-anthropic>=1.3.4",
     "anthropic[bedrock,vertex]>=0.84.0",
 ]
-azure = [
-    "langchain-azure-ai>=1.1.0",
+aws = [
+    "langchain-aws[anthropic]>=1.4.0",
 ]
 vertexai = [
     "langchain-google-vertexai>=3.2.2",
 ]
+azure = [
+    "langchain-azure-ai>=1.1.0",
+]
 fireworks = [
     "langchain-fireworks>=1.1.0",
 ]

packages/uipath_langchain_client/src/uipath_langchain_client/__version__.py

@@ -1,3 +1,3 @@
 __title__ = "UiPath LangChain Client"
 __description__ = "A Python client for interacting with UiPath's LLM services via LangChain."
-__version__ = "1.3.1"
+__version__ = "1.4.0"

packages/uipath_langchain_client/src/uipath_langchain_client/base_client.py

@@ -14,8 +14,8 @@
     >>> client = UiPathBaseLLMClient(
     ...     model="gpt-4o-2024-11-20",
     ...     api_config=UiPathAPIConfig(
-    ...         api_type="completions",
-    ...         client_type="passthrough",
+    ...         api_type=ApiType.COMPLETIONS,
+    ...         routing_mode=RoutingMode.PASSTHROUGH,
     ...         vendor_type="openai",
     ...     ),
     ...     client_settings=get_default_client_settings(),
@@ -67,7 +67,7 @@ class UiPathBaseLLMClient(BaseModel, ABC):
         model_name: Name of the LLM model to use (aliased as "model")
         byo_connection_id: Optional connection ID for Bring Your Own (BYO) models enrolled
             in LLMGateway. When provided, routes requests to your custom-enrolled model.
-        api_config: API configuration (api_type, client_type, vendor_type, etc.)
+        api_config: API configuration (api_type, routing_mode, vendor_type, etc.)
         client_settings: Client configuration (base URL, auth headers, etc.)
         default_headers: Additional headers to include in requests
         request_timeout: Client-side request timeout in seconds

packages/uipath_langchain_client/src/uipath_langchain_client/clients/anthropic/chat_models.py

@@ -1,11 +1,17 @@
 from functools import cached_property
-from typing import Any, Literal, Self
+from typing import Any, Self
 
 from pydantic import Field, model_validator
 from typing_extensions import override
 
 from uipath_langchain_client.base_client import UiPathBaseChatModel
-from uipath_langchain_client.settings import UiPathAPIConfig
+from uipath_langchain_client.settings import (
+    ApiFlavor,
+    ApiType,
+    RoutingMode,
+    UiPathAPIConfig,
+    VendorType,
+)
 
 try:
     from anthropic import (
@@ -28,22 +34,22 @@
 
 class UiPathChatAnthropic(UiPathBaseChatModel, ChatAnthropic):
     api_config: UiPathAPIConfig = UiPathAPIConfig(
-        api_type="completions",
-        client_type="passthrough",
-        vendor_type="awsbedrock",
+        api_type=ApiType.COMPLETIONS,
+        routing_mode=RoutingMode.PASSTHROUGH,
+        vendor_type=VendorType.ANTHROPIC,
         freeze_base_url=True,
     )
-    vendor_type: Literal["anthropic", "azure", "vertexai", "awsbedrock"] = "awsbedrock"
+    vendor_type: VendorType = VendorType.ANTHROPIC
 
     @model_validator(mode="after")
     def setup_api_flavor_and_version(self) -> Self:
         self.api_config.vendor_type = self.vendor_type
         match self.vendor_type:
-            case "vertexai":
-                self.api_config.api_flavor = "anthropic-claude"
+            case VendorType.VERTEXAI:
+                self.api_config.api_flavor = ApiFlavor.ANTHROPIC_CLAUDE
                 self.api_config.api_version = "v1beta1"
-            case "awsbedrock":
-                self.api_config.api_flavor = "invoke"
+            case VendorType.AWSBEDROCK:
+                self.api_config.api_flavor = ApiFlavor.INVOKE
             case _:
                 raise ValueError(
                     "anthropic and azure vendors are currently not supported by UiPath"
@@ -60,15 +66,23 @@ def _anthropic_client(
         self,
     ) -> Anthropic | AnthropicVertex | AnthropicBedrock | AnthropicFoundry:
         match self.vendor_type:
-            case "azure":
+            case VendorType.ANTHROPIC:
+                return Anthropic(
+                    api_key="PLACEHOLDER",
+                    base_url=str(self.uipath_sync_client.base_url),
+                    default_headers=dict(self.uipath_sync_client.headers),
+                    max_retries=0,  # handled by the UiPathBaseChatModel
+                    http_client=self.uipath_sync_client,
+                )
+            case VendorType.AZURE:
                 return AnthropicFoundry(
                     api_key="PLACEHOLDER",
                     base_url=str(self.uipath_sync_client.base_url),
                     default_headers=dict(self.uipath_sync_client.headers),
                     max_retries=0,  # handled by the UiPathBaseChatModel
                     http_client=self.uipath_sync_client,
                 )
-            case "vertexai":
+            case VendorType.VERTEXAI:
                 return AnthropicVertex(
                     region="PLACEHOLDER",
                     project_id="PLACEHOLDER",
@@ -78,7 +92,7 @@ def _anthropic_client(
                     max_retries=0,  # handled by the UiPathBaseChatModel
                     http_client=self.uipath_sync_client,
                 )
-            case "awsbedrock":
+            case VendorType.AWSBEDROCK:
                 return AnthropicBedrock(
                     aws_access_key="PLACEHOLDER",
                     aws_secret_key="PLACEHOLDER",
@@ -88,29 +102,31 @@ def _anthropic_client(
                     max_retries=0,  # handled by the UiPathBaseChatModel
                     http_client=self.uipath_sync_client,
                 )
-            case "anthropic":
-                return Anthropic(
-                    api_key="PLACEHOLDER",
-                    base_url=str(self.uipath_sync_client.base_url),
-                    default_headers=dict(self.uipath_sync_client.headers),
-                    max_retries=0,  # handled by the UiPathBaseChatModel
-                    http_client=self.uipath_sync_client,
-                )
+            case _:
+                raise ValueError("Anthropic models are currently not hosted on any other provider")
 
     @cached_property
     def _async_anthropic_client(
         self,
     ) -> AsyncAnthropic | AsyncAnthropicVertex | AsyncAnthropicBedrock | AsyncAnthropicFoundry:
         match self.vendor_type:
-            case "azure":
+            case VendorType.ANTHROPIC:
+                return AsyncAnthropic(
+                    api_key="PLACEHOLDER",
+                    base_url=str(self.uipath_async_client.base_url),
+                    default_headers=dict(self.uipath_async_client.headers),
+                    max_retries=0,  # handled by the UiPathBaseChatModel
+                    http_client=self.uipath_async_client,
+                )
+            case VendorType.AZURE:
                 return AsyncAnthropicFoundry(
                     api_key="PLACEHOLDER",
                     base_url=str(self.uipath_async_client.base_url),
                     default_headers=dict(self.uipath_async_client.headers),
                     max_retries=0,  # handled by the UiPathBaseChatModel
                     http_client=self.uipath_async_client,
                 )
-            case "vertexai":
+            case VendorType.VERTEXAI:
                 return AsyncAnthropicVertex(
                     region="PLACEHOLDER",
                     project_id="PLACEHOLDER",
@@ -120,7 +136,7 @@ def _async_anthropic_client(
                     max_retries=0,  # handled by the UiPathBaseChatModel
                     http_client=self.uipath_async_client,
                 )
-            case "awsbedrock":
+            case VendorType.AWSBEDROCK:
                 return AsyncAnthropicBedrock(
                     aws_access_key="PLACEHOLDER",
                     aws_secret_key="PLACEHOLDER",
@@ -131,13 +147,7 @@ def _async_anthropic_client(
                     http_client=self.uipath_async_client,
                 )
             case _:
-                return AsyncAnthropic(
-                    api_key="PLACEHOLDER",
-                    base_url=str(self.uipath_async_client.base_url),
-                    default_headers=dict(self.uipath_async_client.headers),
-                    max_retries=0,  # handled by the UiPathBaseChatModel
-                    http_client=self.uipath_async_client,
-                )
+                raise ValueError("Anthropic models are currently not hosted on any other provider")
 
     @override
     def _create(self, payload: dict) -> Any:

packages/uipath_langchain_client/src/uipath_langchain_client/clients/azure/chat_models.py

@@ -4,7 +4,13 @@
 from pydantic import Field, model_validator
 
 from uipath_langchain_client.base_client import UiPathBaseChatModel
-from uipath_langchain_client.settings import UiPathAPIConfig
+from uipath_langchain_client.settings import (
+    ApiFlavor,
+    ApiType,
+    RoutingMode,
+    UiPathAPIConfig,
+    VendorType,
+)
 
 try:
     from azure.core.credentials import AzureKeyCredential, TokenCredential
@@ -20,9 +26,9 @@
 
 class UiPathAzureAIChatCompletionsModel(UiPathBaseChatModel, AzureAIOpenAIApiChatModel):  # type: ignore[override]
     api_config: UiPathAPIConfig = UiPathAPIConfig(
-        api_type="completions",
-        client_type="passthrough",
-        vendor_type="azure",
+        api_type=ApiType.COMPLETIONS,
+        routing_mode=RoutingMode.PASSTHROUGH,
+        vendor_type=VendorType.AZURE,
         freeze_base_url=False,
     )
 
@@ -39,17 +45,17 @@ def setup_uipath_client(self) -> Self:
         def fix_url_and_api_flavor_header(request: Request):
             url_suffix = str(request.url).split(base_url)[-1]
             if "responses" in url_suffix:
-                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "responses"
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = ApiFlavor.RESPONSES.value
             else:
-                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = ApiFlavor.CHAT_COMPLETIONS.value
             request.url = URL(base_url)
 
         async def fix_url_and_api_flavor_header_async(request: Request):
             url_suffix = str(request.url).split(base_url)[-1]
             if "responses" in url_suffix:
-                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "responses"
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = ApiFlavor.RESPONSES.value
             else:
-                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = ApiFlavor.CHAT_COMPLETIONS.value
             request.url = URL(base_url)
 
         self.uipath_sync_client.event_hooks["request"].append(fix_url_and_api_flavor_header)

packages/uipath_langchain_client/src/uipath_langchain_client/clients/azure/embeddings.py

@@ -3,7 +3,7 @@
 from pydantic import Field, model_validator
 
 from uipath_langchain_client.base_client import UiPathBaseEmbeddings
-from uipath_langchain_client.settings import UiPathAPIConfig
+from uipath_langchain_client.settings import ApiType, RoutingMode, UiPathAPIConfig, VendorType
 
 try:
     from azure.core.credentials import AzureKeyCredential, TokenCredential
@@ -19,9 +19,9 @@
 
 class UiPathAzureAIEmbeddingsModel(UiPathBaseEmbeddings, AzureAIOpenAIApiEmbeddingsModel):  # type: ignore[override]
     api_config: UiPathAPIConfig = UiPathAPIConfig(
-        api_type="embeddings",
-        client_type="passthrough",
-        vendor_type="azure",
+        api_type=ApiType.EMBEDDINGS,
+        routing_mode=RoutingMode.PASSTHROUGH,
+        vendor_type=VendorType.AZURE,
         freeze_base_url=True,
     )
 

packages/uipath_langchain_client/src/uipath_langchain_client/clients/bedrock/__init__.py

@@ -1,7 +1,13 @@
 from uipath_langchain_client.clients.bedrock.chat_models import (
+    UiPathChatAnthropicBedrock,
     UiPathChatBedrock,
     UiPathChatBedrockConverse,
 )
 from uipath_langchain_client.clients.bedrock.embeddings import UiPathBedrockEmbeddings
 
-__all__ = ["UiPathChatBedrock", "UiPathChatBedrockConverse", "UiPathBedrockEmbeddings"]
+__all__ = [
+    "UiPathChatBedrock",
+    "UiPathChatBedrockConverse",
+    "UiPathChatAnthropicBedrock",
+    "UiPathBedrockEmbeddings",
+]