Fix/OpenAI api flavor at invocation time

.github/workflows/cd-langchain.yml

@@ -47,6 +47,10 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
+      - name: Wait for package indexing
+        if: github.event_name == 'workflow_run'
+        run: sleep 60
+
       - name: Setup uv
         uses: astral-sh/setup-uv@v7
         with:

CHANGELOG.md

@@ -2,6 +2,11 @@
 
 All notable changes to `uipath_llm_client` (core package) will be documented in this file.
 
+## [1.1.1] - 2026-02-12
+
+### Fix
+- Small fixes on openai client
+
 ## [1.1.0] - 2026-02-11
 
 ### Stable release

packages/uipath_langchain_client/CHANGELOG.md

@@ -2,6 +2,13 @@
 
 All notable changes to `uipath_langchain_client` will be documented in this file.
 
+## [1.1.3] - 2026-02-12
+
+### Fixes
+- Fixes on openai langchain client on resposes_api
+- Allow the flavor to be set up at requst time, not just when instantiating the llm
+- Some fixes for the anthropic client
+
 ## [1.1.2] - 2026-02-12
 
 ### Refactor

packages/uipath_langchain_client/pyproject.toml

@@ -6,7 +6,7 @@ readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
     "langchain>=1.2.7",
-    "uipath-llm-client>=1.1.0",
+    "uipath-llm-client>=1.1.1",
 ]
 
 [project.optional-dependencies]

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__ = "1.1.2"
+__version__ = "1.1.3"

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

@@ -33,19 +33,21 @@ class UiPathChatAnthropic(UiPathBaseLLMClient, ChatAnthropic):
         vendor_type="anthropic",
         freeze_base_url=True,
     )
-    vendor_type: Literal["anthropic", "azure", "vertexai", "awsbedrock"] = "awsbedrock"
+    vendor_type: Literal["anthropic", "azure", "vertexai", "awsbedrock"] = "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"
                 self.api_config.api_version = "v1beta1"
             case "awsbedrock":
                 self.api_config.api_flavor = "invoke"
             case _:
-                raise ValueError("Those vendors are currently not supported")
-        self.api_config.vendor_type = self.vendor_type
+                raise ValueError(
+                    "anthropic and azure vendors are currently not supported by UiPath"
+                )
         return self
 
     # Override fields to avoid typing issues and fix stuff

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

@@ -1,6 +1,7 @@
 from collections.abc import Awaitable, Callable
 from typing import Self
 
+from httpx import URL, Request
 from pydantic import Field, SecretStr, model_validator
 from uipath_langchain_client.base_client import UiPathBaseLLMClient
 from uipath_langchain_client.settings import UiPathAPIConfig
@@ -21,25 +22,38 @@ class UiPathChatOpenAI(UiPathBaseLLMClient, ChatOpenAI):  # type: ignore[overrid
         api_type="completions",
         client_type="passthrough",
         vendor_type="openai",
-        freeze_base_url=True,
+        api_version="2025-03-01-preview",
+        freeze_base_url=False,
     )
 
     # Override fields to avoid errors when instantiating the class
     openai_api_key: SecretStr | None | Callable[[], str] | Callable[[], Awaitable[str]] = Field(
         alias="api_key", default=SecretStr("PLACEHOLDER")
     )
 
-    @model_validator(mode="after")
-    def setup_uipath_api_flavor_and_version(self) -> Self:
-        self.api_config.api_version = "2025-03-01-preview"
-        if self._use_responses_api({}):
-            self.api_config.api_flavor = "responses"
-        else:
-            self.api_config.api_flavor = "chat-completions"
-        return self
-
     @model_validator(mode="after")
     def setup_uipath_client(self) -> Self:
+        base_url = str(self.uipath_sync_client.base_url).rstrip("/")
+
+        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"
+            else:
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+            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"
+            else:
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+            request.url = URL(base_url)
+
+        self.uipath_sync_client.event_hooks["request"].append(fix_url_and_api_flavor_header)
+        self.uipath_async_client.event_hooks["request"].append(fix_url_and_api_flavor_header_async)
+
         self.root_client = OpenAI(
             api_key="PLACEHOLDER",
             timeout=None,  # handled by the UiPath client
@@ -62,25 +76,37 @@ class UiPathAzureChatOpenAI(UiPathBaseLLMClient, AzureChatOpenAI):  # type: igno
         api_type="completions",
         client_type="passthrough",
         vendor_type="openai",
-        freeze_base_url=True,
+        api_version="2025-03-01-preview",
+        freeze_base_url=False,
     )
 
     # Override fields to avoid errors when instantiating the class
     azure_endpoint: str | None = Field(default="PLACEHOLDER")
     openai_api_version: str | None = Field(default="PLACEHOLDER", alias="api_version")
     openai_api_key: SecretStr | None = Field(default=SecretStr("PLACEHOLDER"), alias="api_key")
 
-    @model_validator(mode="after")
-    def setup_uipath_api_flavor_and_version(self) -> Self:
-        self.api_config.api_version = "2025-03-01-preview"
-        if self._use_responses_api({}):
-            self.api_config.api_flavor = "responses"
-        else:
-            self.api_config.api_flavor = "chat-completions"
-        return self
-
     @model_validator(mode="after")
     def setup_uipath_client(self) -> Self:
+        base_url = str(self.uipath_sync_client.base_url).rstrip("/")
+
+        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"
+            else:
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+            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"
+            else:
+                request.headers["X-UiPath-LlmGateway-ApiFlavor"] = "chat-completions"
+            request.url = URL(base_url)
+
+        self.uipath_sync_client.event_hooks["request"].append(fix_url_and_api_flavor_header)
+        self.uipath_async_client.event_hooks["request"].append(fix_url_and_api_flavor_header_async)
         self.root_client = AzureOpenAI(
             azure_endpoint="PLACEHOLDER",
             api_version="PLACEHOLDER",

packages/uipath_langchain_client/src/uipath_langchain_client/factory.py

@@ -177,6 +177,7 @@ def get_chat_model(
                     return UiPathChatAnthropic(
                         model=model_name,
                         settings=client_settings,
+                        vendor_type=vendor_type,
                         **model_kwargs,
                     )
                 else:

src/uipath_llm_client/__version__.py

@@ -1,3 +1,3 @@
 __titile__ = "UiPath LLM Client"
 __description__ = "A Python client for interacting with UiPath's LLM services."
-__version__ = "1.1.0"
+__version__ = "1.1.1"

src/uipath_llm_client/httpx_client.py

@@ -219,7 +219,7 @@ class UiPathHttpxAsyncClient(AsyncClient):
 
     _streaming_header: str = "X-UiPath-Streaming-Enabled"
     _default_headers: Mapping[str, str] = {
-        "X-UiPath-LLMGateway-TimeoutSeconds": "30",  # server side timeout, default is 10, maximum is 300
+        "X-UiPath-LLMGateway-TimeoutSeconds": "295",  # server side timeout, default is 10, maximum is 300
         "X-UiPath-LLMGateway-AllowFull4xxResponse": "true",  # allow full 4xx responses (default is false)
     }
 

tests/langchain/test_langchain_functionality.py

@@ -16,6 +16,7 @@ def setup_models(self, request: pytest.FixtureRequest, client_settings: UiPathBa
         self._completions_kwargs = {
             "model": "anthropic.claude-3-5-sonnet-20240620-v1:0",
             "client_settings": client_settings,
+            "vendor_type": "awsbedrock",
         }
 
     @property