From 2c30c90459e1c15ca34bf39fea3ccfe7336f9f51 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Tue, 4 Nov 2025 16:13:08 +0530 Subject: [PATCH 01/14] Add OCIChatOpenAI for supporting OpenAI Responses API --- libs/oci/README.md | 26 + libs/oci/examples/__init__.py | 0 libs/oci/examples/chat_models/__init__.py | 0 ...gchain_oci_openai_responses_api_example.py | 117 + libs/oci/langchain_oci/__init__.py | 3 + .../oci_generative_ai_responses_api.py | 407 ++ libs/oci/poetry.lock | 3372 ++++++++++++++++- libs/oci/pyproject.toml | 2 + .../test_oci_generative_ai_responses_api.py | 386 ++ 9 files changed, 4150 insertions(+), 163 deletions(-) create mode 100644 libs/oci/examples/__init__.py create mode 100644 libs/oci/examples/chat_models/__init__.py create mode 100644 libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py create mode 100644 libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py create mode 100644 libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py diff --git a/libs/oci/README.md b/libs/oci/README.md index 91b4069..dff3979 100644 --- a/libs/oci/README.md +++ b/libs/oci/README.md @@ -79,6 +79,32 @@ structured_llm = llm.with_structured_output(Joke) structured_llm.invoke("Tell me a joke about programming") ``` +### 5. Use OpenAI Responses API +`OCIChatOpenAI` supports OpenAI Responses API. + +```python +from langchain_oci import ( + OCIChatOpenAI, + OCISessionAuth, +) +client = OCIChatOpenAI( + auth=OCISessionAuth(profile_name="MY_PROFILE_NAME"), + compartment_id="MY_COMPARTMENT_ID", + region="MY_REGION", + override_url="MY_OVERRIDE_URL", + model="MY_MODEL", + conversation_store_id="MY_CONVERSATION_STORE_ID" + ) +messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] +response = client.invoke(messages) +``` + ## OCI Data Science Model Deployment Examples diff --git a/libs/oci/examples/__init__.py b/libs/oci/examples/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/oci/examples/chat_models/__init__.py b/libs/oci/examples/chat_models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py new file mode 100644 index 0000000..9b6dc19 --- /dev/null +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -0,0 +1,117 @@ +from langchain_core.prompts import ChatPromptTemplate +from pydantic import BaseModel, Field + +from langchain_oci import ( + OCIChatOpenAI, + OCISessionAuth, +) + +COMPARTMENT_ID = "ocid1.tenancy.oc1..aaaaaaaaumuuscymm6yb3wsbaicfx3mjhesghplvrvamvbypyehh5pgaasna" +CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1.us-sanjose-1.amaaaaaask7dceyaichocdeezhgmpzs3ikrmmxb3gtxh34nuo2cxrzdpv7ma" +OVERRIDE_URL="https://dev.inference.generativeai.us-sanjose-1.oci.oraclecloud.com/20231130/openai/v1" +REGION = "us-chicago-1" +MODEL = "openai.gpt-4o" +PROFILE_NAME="oc1" + + +def get_oci_openai_client(): + return OCIChatOpenAI( + auth=OCISessionAuth(profile_name=PROFILE_NAME), + compartment_id=COMPARTMENT_ID, + region=REGION, + override_url=OVERRIDE_URL, + model=MODEL, + conversation_store_id=CONVERSATION_STORE_ID, + ) + + +def do_model_invoke(): + client = get_oci_openai_client() + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + response = client.invoke(messages) + return response + + +def do_prompt_chaining(): + client = get_oci_openai_client() + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + "You are a helpful assistant that translates {input_language} to {output_language}.", + ), + ("human", "{input}"), + ] + ) + + chain = prompt | client + response = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + return response + + +def do_function_calling(): + class GetWeather(BaseModel): + """Get the current weather in a given location""" + + location: str = Field( + ..., description="The city and state, e.g. San Francisco, CA" + ) + + client = get_oci_openai_client() + llm_with_tools = client.bind_tools([GetWeather]) + response = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + return response + + +def do_web_search(): + client = get_oci_openai_client() + tool = {"type": "web_search_preview"} + llm_with_tools = client.bind_tools([tool]) + + response = llm_with_tools.invoke("What was a positive news story from today?") + return response + + +def do_hosted_mcp_calling(): + client = get_oci_openai_client() + llm_with_mcp_tools = client.bind_tools( + [ + { + "type": "mcp", + "server_label": "deepwiki", + "server_url": "https://mcp.deepwiki.com/mcp", + "require_approval": "never", + } + ] + ) + response = llm_with_mcp_tools.invoke( + "What transport protocols does the 2025-03-26 version of the MCP " + "spec (modelcontextprotocol/modelcontextprotocol) support?" + ) + return response + + +def main(): + do_model_invoke() + do_prompt_chaining() + do_function_calling() + do_web_search() + do_hosted_mcp_calling() + + +if __name__ == "__main__": + main() diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index eb6df32..56c642f 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -7,6 +7,7 @@ ChatOCIModelDeploymentVLLM, ) from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI +from langchain_oci.chat_models.oci_generative_ai_responses_api import OCIChatOpenAI, OCISessionAuth from langchain_oci.embeddings.oci_data_science_model_deployment_endpoint import ( OCIModelDeploymentEndpointEmbeddings, ) @@ -32,4 +33,6 @@ "OCIModelDeploymentLLM", "OCIModelDeploymentTGI", "OCIModelDeploymentVLLM", + "OCIChatOpenAI", + "OCISessionAuth" ] diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py new file mode 100644 index 0000000..eeb5410 --- /dev/null +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py @@ -0,0 +1,407 @@ +import importlib +from typing import Any, Generator, Mapping, Union + +import httpx +import oci +import requests +from langchain_openai import ChatOpenAI +from oci.config import DEFAULT_LOCATION, DEFAULT_PROFILE +from openai import ( + DEFAULT_MAX_RETRIES, + NOT_GIVEN, + AsyncOpenAI, + DefaultAsyncHttpxClient, + DefaultHttpxClient, + NotGiven, + OpenAI, + Timeout, +) +from pydantic import SecretStr, model_validator + +API_KEY = "" +COMPARTMENT_ID_HEADER = "opc-compartment-id" +CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" +OUTPUT_VERSION = "responses/v1" + + +class OCIHttpxAuth(httpx.Auth): + """ + Custom HTTPX authentication class that implements OCI request signing. + + This class handles the authentication flow for HTTPX requests by signing them + using the OCI Signer, which adds the necessary authentication headers for OCI + API calls. + + Attributes: + signer (oci.signer.Signer): The OCI signer instance used for request signing + """ + + def __init__(self, signer: Any): + self.signer = signer + + def auth_flow( + self, request: httpx.Request + ) -> Generator[httpx.Request, httpx.Response, None]: + req = requests.Request( + method=request.method, + url=str(request.url), + headers=dict(request.headers), + data=request.content, + ) + prepared_request = req.prepare() + + # Sign the request using the OCI Signer + self.signer.do_request_sign(prepared_request) + + # Update the original HTTPX request with the signed headers + request.headers.update(prepared_request.headers) + + yield request + + +class OCISessionAuth(OCIHttpxAuth): + """ + OCI authentication implementation using session-based authentication. + + This class implements OCI authentication using a session token and private key + loaded from the OCI configuration file. It's suitable for interactive user sessions. + + """ + + def __init__( + self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE + ): + config = oci.config.from_file(config_file, profile_name) + token = self._load_token(config) + private_key = self._load_private_key(config) + super().__init__( + signer=oci.auth.signers.SecurityTokenSigner(token, private_key) + ) + + def _load_token(self, config: Any) -> str: + token_file = config["security_token_file"] + with open(token_file, "r") as f: + return f.read().strip() + + def _load_private_key(self, config: Any) -> str: + return oci.signer.load_private_key_from_file(config["key_file"]) + + +class OCIResourcePrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using Resource Principal authentication. + + This class implements OCI authentication using Resource Principal credentials, + which is suitable for services running within OCI that need to access other + OCI services. + """ + + def __init__(self, signer: Any) -> None: + super().__init__(signer=oci.auth.signers.get_resource_principals_signer()) + + +class OCIInstancePrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using Instance Principal authentication. + + This class implements OCI authentication using Instance Principal credentials, + which is suitable for compute instances that need to access OCI services. + """ + + def __init__(self, **kwargs: Any) -> None: + super().__init__( + signer=oci.auth.signers.InstancePrincipalsSecurityTokenSigner(**kwargs) + ) + + +class OCIUserPrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using user principle authentication. + + This class implements OCI authentication using API Key credentials loaded from + the OCI configuration file. It's suitable for programmatic access to OCI services. + + Attributes: + signer (oci.signer.Signer): OCI signer configured with API key credentials + """ + + def __init__( + self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE + ) -> None: + config = oci.config.from_file(config_file, profile_name) + oci.config.validate_config(config) + + signer = oci.signer.Signer( + tenancy=config["tenancy"], + user=config["user"], + fingerprint=config["fingerprint"], + private_key_file_location=config.get("key_file"), + # pass_phrase is optional and can be None + pass_phrase=oci.config.get_config_value_or_default(config, "pass_phrase"), + # private_key_content is optional and can be None + private_key_content=config.get("key_content"), + ) + super().__init__(signer=signer) + + +def get_base_url(region: str, override_url: str = "") -> str: + return ( + override_url + if override_url + else f"https://inference.generativeai.{region}.oci.oraclecloud.com/openai/v1" + ) + + +def get_sync_httpx_client( + auth: httpx.Auth, compartment_id: str, conversation_store_id: str +) -> httpx.Client: + return DefaultHttpxClient( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + }, + ) + + +def get_async_httpx_client( + auth: httpx.Auth, compartment_id: str, conversation_store_id: str +) -> httpx.AsyncClient: + return DefaultAsyncHttpxClient( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + }, + ) + + +class OCIOpenAI(OpenAI): + """ + A custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) + GenAI Unified API confirming to OpenAI Responses API. + + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): Compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + timeout (float | Timeout | None | NotGiven): Request timeout configuration + max_retries (int): Maximum number of retry attempts for failed requests + default_headers (Mapping[str, str] | None): Default HTTP headers + default_query (Mapping[str, object] | None): Default query parameters + override_url (str): OCI Unified API URL to override , if it's different from base url + """ + + def __init__( + self, + auth: httpx.Auth, + compartment_id: str, + conversation_store_id: str, + region: str = "", + override_url: str = "", + timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, + max_retries: int = DEFAULT_MAX_RETRIES, + default_headers: Union[Mapping[str, str], None] = None, + default_query: Union[Mapping[str, object], None] = None, + ) -> None: + super().__init__( + api_key=API_KEY, + base_url=get_base_url(region=region, override_url=override_url), + timeout=timeout, + max_retries=max_retries, + default_headers=default_headers, + default_query=default_query, + http_client=get_sync_httpx_client( + auth=auth, + compartment_id=compartment_id, + conversation_store_id=conversation_store_id, + ), + ) + + +class OCIAsyncOpenAI(AsyncOpenAI): + """ + A async custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) GenAI + Unified API confirming to OpenAI Responses API. + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): OCI compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + timeout (float | Timeout | None | NotGiven): Request timeout configuration + max_retries (int): Maximum number of retry attempts for failed requests + default_headers (Mapping[str, str] | None): Default HTTP headers + default_query (Mapping[str, object] | None): Default query parameters + override_url (str): OCI Unified API URL to override , if it's different from base url + """ + + def __init__( + self, + auth: httpx.Auth, + compartment_id: str, + conversation_store_id: str, + region: str = "", + override_url: str = "", + timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, + max_retries: int = DEFAULT_MAX_RETRIES, + default_headers: Union[Mapping[str, str], None] = None, + default_query: Union[Mapping[str, object], None] = None, + ) -> None: + super().__init__( + api_key=API_KEY, + base_url=get_base_url(region=region, override_url=override_url), + timeout=timeout, + max_retries=max_retries, + default_headers=default_headers, + default_query=default_query, + http_client=get_async_httpx_client( + auth=auth, + compartment_id=compartment_id, + conversation_store_id=conversation_store_id, + ), + ) + + +class OCIChatOpenAI(ChatOpenAI): + """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. + + Setup: + Install ``openai`` and ``langchain-openai``. + + .. code-block:: bash + + pip install -U langchain-oci openai langchain-openai + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): OCI compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + model (str): Name of OpenAI model to use. + override_url (str): OCI Unified API URL to override , if it's different from base url + + Instantiate: + .. code-block:: python + + from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + OCIChatOpenAI, OCIResourcePrincipleAuth, + ) + client = OCIChatOpenAI( + auth=OCIResourcePrincipleAuth(), + compartment_id=COMPARTMENT_ID, + region=REGION, + override_url=OVERRIDE_URL, + model=MODEL, + conversation_store_id=CONVERSATION_STORE_ID, + ) + + Invoke: + .. code-block:: python + + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + response = client.invoke(messages) + + Prompt Chaining: + .. code-block:: python + + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + "You are a helpful assistant that translates {input_language} to {output_language}.", + ), + ("human", "{input}"), + ] + ) + chain = prompt | client + response = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + + Function Calling: + .. code-block:: python + + class GetWeather(BaseModel): + location: str = Field( + ..., description="The city and state, e.g. San Francisco, CA" + ) + + llm_with_tools = client.bind_tools([GetWeather]) + ai_msg = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + response = ai_msg.tool_calls + + Web Search: + .. code-block:: python + + tool = {"type": "web_search_preview"} + llm_with_tools = client.bind_tools([tool]) + response = llm_with_tools.invoke("What was a positive news story from today?") + + Hosted MCP Calling: + .. code-block:: python + + llm_with_mcp_tools = client.bind_tools( + [ + { + "type": "mcp", + "server_label": "deepwiki", + "server_url": "https://mcp.deepwiki.com/mcp", + "require_approval": "never", + } + ] + ) + response = llm_with_mcp_tools.invoke( + "What transport protocols does the 2025-03-26 version of the MCP " + "spec (modelcontextprotocol/modelcontextprotocol) support?" + ) + """ + + @model_validator(mode="before") + @classmethod + def validate_openai(cls, values: Any) -> Any: + """Checks if langchain_openai is installed.""" + if not importlib.util.find_spec("langchain_openai"): + raise ImportError( + "Could not import langchain_openai package. " + "Please install it with `pip install langchain_openai`." + ) + return values + + def __init__( + self, + auth: OCISessionAuth, + compartment_id: str, + conversation_store_id: str, + region: str, + model: str, + override_url: str = "", + **kwargs: Any, + ): + super().__init__( + model=model, + api_key=SecretStr(API_KEY), + http_client=get_sync_httpx_client( + auth=auth, + compartment_id=compartment_id, + conversation_store_id=conversation_store_id, + ), + base_url=get_base_url(region, override_url), + use_responses_api=True, + output_version=OUTPUT_VERSION, + **kwargs, + ) diff --git a/libs/oci/poetry.lock b/libs/oci/poetry.lock index edfde9c..bca6300 100644 --- a/libs/oci/poetry.lock +++ b/libs/oci/poetry.lock @@ -1,109 +1,150 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. 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langchain_core.messages import BaseMessage, HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langgraph.graph import END, START, StateGraph +from pydantic import BaseModel, Field + +from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + COMPARTMENT_ID_HEADER, + CONVERSATION_STORE_ID_HEADER, + OCIChatOpenAI, + OCIInstancePrincipleAuth, + OCIResourcePrincipleAuth, + OCISessionAuth, + get_base_url, +) + +COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" +CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" +REGION = "us-chicago-1" +MODEL = "openai.gpt-4o" +SESSION_PRINCIPAL = "session_principal" +RESOURCE_PRINCIPAL = "resource_principal" +INSTANCE_PRINCIPAL = "instance_principal" +BASE_URL = get_base_url(region="us-chicago-1") +RESPONSES_URL = f"{BASE_URL}/responses" +RESPONSE_ID = "resp_123" + + +# Fixtures +@pytest.fixture( + params=[ + (SESSION_PRINCIPAL, OCISessionAuth, {"profile_name": "DEFAULT"}), + (RESOURCE_PRINCIPAL, OCIResourcePrincipleAuth, {}), + (INSTANCE_PRINCIPAL, OCIInstancePrincipleAuth, {}), + ], + ids=[SESSION_PRINCIPAL, RESOURCE_PRINCIPAL, INSTANCE_PRINCIPAL], +) +def auth_instance(request): + name, auth_class, kwargs = request.param + + def set_signer(signer_name: str): + dummy_signer = MagicMock() + patcher = patch(signer_name, return_value=dummy_signer) + patcher.start() + request.addfinalizer(patcher.stop) + kwargs["signer"] = dummy_signer + + if name == RESOURCE_PRINCIPAL: + set_signer(signer_name="oci.auth.signers.get_resource_principals_signer") + elif name == INSTANCE_PRINCIPAL: + set_signer(signer_name="oci.auth.signers.InstancePrincipalsSecurityTokenSigner") + elif name == "session_principal": + # --- Patch config + signer + token/private_key loading --- + patch_config = patch( + "oci.config.from_file", + return_value={ + "user": "ocid1.user.oc1..dummy", + "fingerprint": "dummyfp", + "key_file": "/fake/key.pem", + "tenancy": "ocid1.tenancy.oc1..dummy", + "region": "us-chicago-1", + "security_token_file": "/fake/token", + }, + ) + patch_token = patch.object( + OCISessionAuth, "_load_token", return_value="fake_token_string" + ) + patch_private_key = patch.object( + OCISessionAuth, "_load_private_key", return_value="fake_private_key_data" + ) + patch_signer = patch( + "oci.auth.signers.SecurityTokenSigner", return_value=MagicMock() + ) + # Start all patches + for p in [patch_config, patch_token, patch_private_key, patch_signer]: + p.start() + request.addfinalizer(p.stop) + + return auth_class(**kwargs) + + +def _assert_common(httpx_mock): + last_request: Request = httpx_mock.get_requests()[0] + assert "Authorization" in last_request.headers + assert last_request.headers.get(COMPARTMENT_ID_HEADER) == COMPARTMENT_ID + assert ( + last_request.headers.get(CONVERSATION_STORE_ID_HEADER) == CONVERSATION_STORE_ID + ) + + +function_tools = [ + { + "type": "function", + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location", "unit"], + }, + } +] + + +def _set_mock_client_invoke_response(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "message", + "status": "completed", + "content": [ + {"type": "output_text", "text": "j'adore la programmation"} + ], + } + ], + }, + status_code=200, + ) + + +class GetWeather(BaseModel): + """Get the current weather in a given location""" + + location: str = Field(..., description="The city and state, e.g. San Francisco, CA") + + +def _set_mock_create_response_with_fc_tools(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "function_call", + "id": "fc_67ca09c6bedc8190a7abfec07b1a1332096610f474011cc0", + "call_id": "call_unLAR8MvFNptuiZK6K6HCy5k", + "name": "get_current_weather", + "arguments": '{"location":"San Francisco, MA","unit":"celsius"}', + "status": "completed", + } + ], + "tools": function_tools, + }, + status_code=200, + ) + + +def _set_mock_create_response_with_file_input(httpx_mock): + text = "The file seems to contain excerpts from a letter to the shareholders" + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "id": "msg_686ee", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": text, + } + ], + "role": "assistant", + } + ], + }, + status_code=200, + ) + + +# +def _set_mock_create_response_with_web_search(httpx_mock): + text = "As of today, Oct 7, 2025, one notable positive news story..." + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + {"type": "web_search_call", "id": "ws_67cc", "status": "completed"}, + { + "type": "message", + "id": "msg_67cc", + "status": "completed", + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": text, + "annotations": [ + { + "type": "url_citation", + "start_index": 442, + "end_index": 557, + "url": "https://.../?utm_source=chatgpt.com", + "title": "...", + }, + { + "type": "url_citation", + "start_index": 962, + "end_index": 1077, + "url": "https://.../?utm_source=chatgpt.com", + "title": "...", + }, + ], + } + ], + }, + ], + }, + status_code=200, + ) + + +@pytest.fixture +def oci_openai_client(auth_instance): + """Return a ready OCIOpenAI client for any auth type.""" + client = OCIChatOpenAI( + auth=auth_instance, + compartment_id=COMPARTMENT_ID, + conversation_store_id=CONVERSATION_STORE_ID, + region=REGION, + model=MODEL, + ) + return client + + +@pytest.mark.usefixtures("httpx_mock") +def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_client_invoke_response(httpx_mock=httpx_mock) + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + + # ---- Act ---- + result = oci_openai_client.invoke(messages) + + # ---- Assert ---- + assert result.content[0]["text"] == "j'adore la programmation" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + message = """ + You are a helpful assistant that translates {input_language} to {output_language}. + """ + _set_mock_client_invoke_response(httpx_mock=httpx_mock) + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + message, + ), + ("human", "{input}"), + ] + ) + chain = prompt | oci_openai_client + + # ---- Act ---- + result = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + # ---- Assert ---- + assert result.content[0]["text"] == "j'adore la programmation" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_create_response_with_fc_tools(httpx_mock=httpx_mock) + llm_with_tools = oci_openai_client.bind_tools([GetWeather]) + + # ---- Act ---- + ai_msg = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + + # ---- Assert ---- + assert ai_msg.content[0]["type"] == "function_call" + assert ai_msg.content[0]["name"] == "get_current_weather" + json.loads((ai_msg.content[0]["arguments"]))["location"] == "San Francisco, MA" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_web_search(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_create_response_with_web_search(httpx_mock=httpx_mock) + tool = {"type": "web_search_preview"} + llm_with_tools = oci_openai_client.bind_tools([tool]) + + # ---- Act ---- + response = llm_with_tools.invoke("What was a positive news story from today?") + + # ---- Assert ---- + assert len(response.content) == 2 + assert response.content[0]["type"] == "web_search_call" + assert response.content[1]["type"] == "text" + assert len(response.content[1]["annotations"]) == 2 + _assert_common(httpx_mock=httpx_mock) + + +def _set_mock_client_invoke_response_langgraph(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "text": "Paris is the capital of France", + } + ], + } + ], + }, + status_code=200, + ) + + +@pytest.mark.usefixtures("httpx_mock") +def test_chat_graph(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_client_invoke_response_langgraph(httpx_mock=httpx_mock) + + class AgentState(TypedDict): + messages: List[BaseMessage] + + def call_model(state: AgentState): + messages = state["messages"] + response = oci_openai_client.invoke(messages) + return {"messages": messages + [response]} + + workflow = StateGraph(AgentState) + workflow.add_node("llm_node", call_model) + workflow.add_edge(START, "llm_node") + workflow.add_edge("llm_node", END) + + # ---- Act ---- + app = workflow.compile() + input_message = HumanMessage(content="What is the capital of France?") + result = app.invoke({"messages": [input_message]}) + + # ---- Assert ---- + content = result["messages"][1].content[0] + assert content["type"] == "text" + assert content["text"] == "Paris is the capital of France" + _assert_common(httpx_mock=httpx_mock) From 4caa69fcdcd204410ad8be2378d49cb2286fbfe6 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Tue, 4 Nov 2025 16:17:18 +0530 Subject: [PATCH 02/14] remove oci values from example file --- .../langchain_oci_openai_responses_api_example.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index 9b6dc19..fbf3178 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -6,12 +6,12 @@ OCISessionAuth, ) -COMPARTMENT_ID = "ocid1.tenancy.oc1..aaaaaaaaumuuscymm6yb3wsbaicfx3mjhesghplvrvamvbypyehh5pgaasna" -CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1.us-sanjose-1.amaaaaaask7dceyaichocdeezhgmpzs3ikrmmxb3gtxh34nuo2cxrzdpv7ma" -OVERRIDE_URL="https://dev.inference.generativeai.us-sanjose-1.oci.oraclecloud.com/20231130/openai/v1" -REGION = "us-chicago-1" -MODEL = "openai.gpt-4o" -PROFILE_NAME="oc1" +COMPARTMENT_ID = "" +CONVERSATION_STORE_ID = "" +OVERRIDE_URL="" +REGION = "" +MODEL = "" +PROFILE_NAME="" def get_oci_openai_client(): From d69a776655352b05c3560184c7c25361c4e0bbcc Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Wed, 12 Nov 2025 12:14:33 +0530 Subject: [PATCH 03/14] incorporate pr review comments --- libs/oci/README.md | 6 +++--- .../langchain_oci_openai_responses_api_example.py | 11 ++++------- libs/oci/langchain_oci/__init__.py | 15 ++++++++++++--- .../oci_generative_ai_responses_api.py | 6 +++--- .../test_oci_generative_ai_responses_api.py | 4 ++-- 5 files changed, 24 insertions(+), 18 deletions(-) diff --git a/libs/oci/README.md b/libs/oci/README.md index dff3979..d33813d 100644 --- a/libs/oci/README.md +++ b/libs/oci/README.md @@ -80,14 +80,14 @@ structured_llm.invoke("Tell me a joke about programming") ``` ### 5. Use OpenAI Responses API -`OCIChatOpenAI` supports OpenAI Responses API. +`ChatOCIOpenAI` supports OpenAI Responses API. ```python from langchain_oci import ( - OCIChatOpenAI, + ChatOCIOpenAI, OCISessionAuth, ) -client = OCIChatOpenAI( +client = ChatOCIOpenAI( auth=OCISessionAuth(profile_name="MY_PROFILE_NAME"), compartment_id="MY_COMPARTMENT_ID", region="MY_REGION", diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index fbf3178..ee595a6 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -1,21 +1,18 @@ from langchain_core.prompts import ChatPromptTemplate from pydantic import BaseModel, Field -from langchain_oci import ( - OCIChatOpenAI, - OCISessionAuth, -) +from langchain_oci import ChatOCIOpenAI, OCISessionAuth COMPARTMENT_ID = "" CONVERSATION_STORE_ID = "" -OVERRIDE_URL="" +OVERRIDE_URL = "" REGION = "" MODEL = "" -PROFILE_NAME="" +PROFILE_NAME = "" def get_oci_openai_client(): - return OCIChatOpenAI( + return ChatOCIOpenAI( auth=OCISessionAuth(profile_name=PROFILE_NAME), compartment_id=COMPARTMENT_ID, region=REGION, diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index 56c642f..1c19da4 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -7,7 +7,13 @@ ChatOCIModelDeploymentVLLM, ) from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI -from langchain_oci.chat_models.oci_generative_ai_responses_api import OCIChatOpenAI, OCISessionAuth +from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + ChatOCIOpenAI, + OCIInstancePrincipleAuth, + OCIResourcePrincipleAuth, + OCISessionAuth, + OCIUserPrincipleAuth, +) from langchain_oci.embeddings.oci_data_science_model_deployment_endpoint import ( OCIModelDeploymentEndpointEmbeddings, ) @@ -33,6 +39,9 @@ "OCIModelDeploymentLLM", "OCIModelDeploymentTGI", "OCIModelDeploymentVLLM", - "OCIChatOpenAI", - "OCISessionAuth" + "ChatOCIOpenAI", + "OCISessionAuth", + "OCIResourcePrincipleAuth", + "OCIInstancePrincipleAuth", + "OCIUserPrincipleAuth", ] diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py index eeb5410..6eda8fb 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py @@ -265,7 +265,7 @@ def __init__( ) -class OCIChatOpenAI(ChatOpenAI): +class ChatOCIOpenAI(ChatOpenAI): """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. Setup: @@ -287,9 +287,9 @@ class OCIChatOpenAI(ChatOpenAI): .. code-block:: python from langchain_oci.chat_models.oci_generative_ai_responses_api import ( - OCIChatOpenAI, OCIResourcePrincipleAuth, + ChatOCIOpenAI, OCIResourcePrincipleAuth, ) - client = OCIChatOpenAI( + client = ChatOCIOpenAI( auth=OCIResourcePrincipleAuth(), compartment_id=COMPARTMENT_ID, region=REGION, diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 281cfe3..3c81b36 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -12,7 +12,7 @@ from langchain_oci.chat_models.oci_generative_ai_responses_api import ( COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER, - OCIChatOpenAI, + ChatOCIOpenAI, OCIInstancePrincipleAuth, OCIResourcePrincipleAuth, OCISessionAuth, @@ -236,7 +236,7 @@ def _set_mock_create_response_with_web_search(httpx_mock): @pytest.fixture def oci_openai_client(auth_instance): """Return a ready OCIOpenAI client for any auth type.""" - client = OCIChatOpenAI( + client = ChatOCIOpenAI( auth=auth_instance, compartment_id=COMPARTMENT_ID, conversation_store_id=CONVERSATION_STORE_ID, From a149ba5ed021160a67723347c9e4844ee3441dd2 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Thu, 13 Nov 2025 12:13:03 +0530 Subject: [PATCH 04/14] refactoring, adding openai dependency --- ...gchain_oci_openai_responses_api_example.py | 2 +- .../oci_generative_ai_responses_api.py | 54 +- libs/oci/langchain_oci/llms/utils.py | 31 +- libs/oci/poetry.lock | 2385 +---------------- libs/oci/pyproject.toml | 1 + .../test_oci_generative_ai_responses_api.py | 2 +- 6 files changed, 54 insertions(+), 2421 deletions(-) diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index ee595a6..145668f 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -76,7 +76,7 @@ class GetWeather(BaseModel): def do_web_search(): client = get_oci_openai_client() - tool = {"type": "web_search_preview"} + tool = {"type": "web_search"} llm_with_tools = client.bind_tools([tool]) response = llm_with_tools.invoke("What was a positive news story from today?") diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py index 6eda8fb..60b0255 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py @@ -10,14 +10,14 @@ DEFAULT_MAX_RETRIES, NOT_GIVEN, AsyncOpenAI, - DefaultAsyncHttpxClient, - DefaultHttpxClient, NotGiven, OpenAI, Timeout, ) from pydantic import SecretStr, model_validator +from langchain_oci.llms.utils import get_base_url, get_sync_httpx_client, get_async_httpx_client + API_KEY = "" COMPARTMENT_ID_HEADER = "opc-compartment-id" CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" @@ -144,38 +144,6 @@ def __init__( super().__init__(signer=signer) -def get_base_url(region: str, override_url: str = "") -> str: - return ( - override_url - if override_url - else f"https://inference.generativeai.{region}.oci.oraclecloud.com/openai/v1" - ) - - -def get_sync_httpx_client( - auth: httpx.Auth, compartment_id: str, conversation_store_id: str -) -> httpx.Client: - return DefaultHttpxClient( - auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id, - }, - ) - - -def get_async_httpx_client( - auth: httpx.Auth, compartment_id: str, conversation_store_id: str -) -> httpx.AsyncClient: - return DefaultAsyncHttpxClient( - auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id, - }, - ) - - class OCIOpenAI(OpenAI): """ A custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) @@ -215,8 +183,10 @@ def __init__( default_query=default_query, http_client=get_sync_httpx_client( auth=auth, - compartment_id=compartment_id, - conversation_store_id=conversation_store_id, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } ), ) @@ -259,8 +229,10 @@ def __init__( default_query=default_query, http_client=get_async_httpx_client( auth=auth, - compartment_id=compartment_id, - conversation_store_id=conversation_store_id, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } ), ) @@ -397,8 +369,10 @@ def __init__( api_key=SecretStr(API_KEY), http_client=get_sync_httpx_client( auth=auth, - compartment_id=compartment_id, - conversation_store_id=conversation_store_id, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } ), base_url=get_base_url(region, override_url), use_responses_api=True, diff --git a/libs/oci/langchain_oci/llms/utils.py b/libs/oci/langchain_oci/llms/utils.py index bc55573..b39a280 100644 --- a/libs/oci/langchain_oci/llms/utils.py +++ b/libs/oci/langchain_oci/llms/utils.py @@ -4,9 +4,38 @@ """Common utility functions for LLM APIs.""" import re -from typing import List +from typing import List, Dict + +import httpx +from openai import DefaultHttpxClient, DefaultAsyncHttpxClient def enforce_stop_tokens(text: str, stop: List[str]) -> str: """Cut off the text as soon as any stop words occur.""" return re.split("|".join(stop), text, maxsplit=1)[0] + + +def get_base_url(region: str, override_url: str = "") -> str: + return ( + override_url + if override_url + else f"https://inference.generativeai.{region}.oci.oraclecloud.com/openai/v1" + ) + + +def get_sync_httpx_client( + auth: httpx.Auth, headers: Dict[str, str] +) -> httpx.Client: + return DefaultHttpxClient( + auth=auth, + headers=headers, + ) + + +def get_async_httpx_client( + auth: httpx.Auth, headers: Dict[str, str] +) -> httpx.AsyncClient: + return DefaultAsyncHttpxClient( + auth=auth, + headers=headers, + ) diff --git a/libs/oci/poetry.lock b/libs/oci/poetry.lock index bca6300..8d10d36 100644 --- a/libs/oci/poetry.lock +++ b/libs/oci/poetry.lock @@ -206,24 +206,6 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""] trio = ["trio (>=0.26.1)"] -[[package]] -name = "asteval" -version = "1.0.6" -description = "Safe, minimalistic evaluator of python expression using ast module" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - 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-[package.extras] -blobfile = ["blobfile (>=2)"] - [[package]] name = "tomli" version = "2.2.1" @@ -4805,7 +2467,6 @@ description = "A lil' TOML parser" optional = false python-versions = ">=3.8" groups = ["test", "typing"] -markers = "python_version < \"3.11\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -4840,6 +2501,7 @@ files = [ {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"}, {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"}, ] +markers = {test = "python_full_version <= \"3.11.0a6\"", typing = "python_version < \"3.11\""} [[package]] name = "tqdm" @@ -4890,18 +2552,6 @@ files = [ {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, ] -[[package]] -name = "tzdata" -version = "2025.2" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -groups = ["main"] -files = [ - 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[[package]] name = "zstandard" version = "0.23.0" @@ -5347,4 +2976,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<4.0" -content-hash = "7ea8d8ea3d76f5390fb7c4b5a7885c5962b66917458623cc86dfe12552c09fd2" +content-hash = "b7f16b4d57ec78ad1c122c1800a987fbd11cb4b4655c1d54046c1745945ee4cc" diff --git a/libs/oci/pyproject.toml b/libs/oci/pyproject.toml index 57d139a..97aef88 100644 --- a/libs/oci/pyproject.toml +++ b/libs/oci/pyproject.toml @@ -17,6 +17,7 @@ langchain = ">=0.3.20,<1.0.0" oci = ">=2.161.0" pydantic = ">=2,<3" aiohttp = ">=3.12.14" +openai = "^2.6.1" [tool.poetry.group.test] optional = true diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 3c81b36..3da243e 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -16,8 +16,8 @@ OCIInstancePrincipleAuth, OCIResourcePrincipleAuth, OCISessionAuth, - get_base_url, ) +from langchain_oci.llms.utils import get_base_url COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" From 6d01a76490380b5fe07719a6fb0236dc2fe2b79c Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Wed, 19 Nov 2025 09:08:09 +0530 Subject: [PATCH 05/14] add oci-openai as a dependency --- ...gchain_oci_openai_responses_api_example.py | 18 +- libs/oci/langchain_oci/__init__.py | 12 +- .../oci_generative_ai_responses_api.py | 250 ++---------------- libs/oci/langchain_oci/llms/utils.py | 26 -- libs/oci/poetry.lock | 23 +- libs/oci/pyproject.toml | 1 + .../test_oci_generative_ai_responses_api.py | 20 +- 7 files changed, 61 insertions(+), 289 deletions(-) diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index 145668f..031a73a 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -1,7 +1,9 @@ from langchain_core.prompts import ChatPromptTemplate from pydantic import BaseModel, Field -from langchain_oci import ChatOCIOpenAI, OCISessionAuth +from oci_openai import OciSessionAuth +from langchain_oci import ChatOCIOpenAI +from rich import print COMPARTMENT_ID = "" CONVERSATION_STORE_ID = "" @@ -13,10 +15,10 @@ def get_oci_openai_client(): return ChatOCIOpenAI( - auth=OCISessionAuth(profile_name=PROFILE_NAME), + auth=OciSessionAuth(profile_name=PROFILE_NAME), compartment_id=COMPARTMENT_ID, region=REGION, - override_url=OVERRIDE_URL, + service_endpoint=OVERRIDE_URL, model=MODEL, conversation_store_id=CONVERSATION_STORE_ID, ) @@ -103,11 +105,11 @@ def do_hosted_mcp_calling(): def main(): - do_model_invoke() - do_prompt_chaining() - do_function_calling() - do_web_search() - do_hosted_mcp_calling() + print(do_model_invoke()) + print(do_prompt_chaining()) + print(do_function_calling()) + print(do_web_search()) + print(do_hosted_mcp_calling()) if __name__ == "__main__": diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index 1c19da4..4070f7c 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -8,11 +8,7 @@ ) from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI from langchain_oci.chat_models.oci_generative_ai_responses_api import ( - ChatOCIOpenAI, - OCIInstancePrincipleAuth, - OCIResourcePrincipleAuth, - OCISessionAuth, - OCIUserPrincipleAuth, + ChatOCIOpenAI ) from langchain_oci.embeddings.oci_data_science_model_deployment_endpoint import ( OCIModelDeploymentEndpointEmbeddings, @@ -39,9 +35,5 @@ "OCIModelDeploymentLLM", "OCIModelDeploymentTGI", "OCIModelDeploymentVLLM", - "ChatOCIOpenAI", - "OCISessionAuth", - "OCIResourcePrincipleAuth", - "OCIInstancePrincipleAuth", - "OCIUserPrincipleAuth", + "ChatOCIOpenAI" ] diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py index 60b0255..89ed5de 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py @@ -1,241 +1,28 @@ import importlib -from typing import Any, Generator, Mapping, Union +from typing import Any import httpx -import oci -import requests + from langchain_openai import ChatOpenAI -from oci.config import DEFAULT_LOCATION, DEFAULT_PROFILE -from openai import ( - DEFAULT_MAX_RETRIES, - NOT_GIVEN, - AsyncOpenAI, - NotGiven, - OpenAI, - Timeout, -) +from oci_openai.oci_openai import _build_base_url, _build_service_endpoint, _resolve_base_url +from openai import DefaultHttpxClient + from pydantic import SecretStr, model_validator -from langchain_oci.llms.utils import get_base_url, get_sync_httpx_client, get_async_httpx_client API_KEY = "" COMPARTMENT_ID_HEADER = "opc-compartment-id" CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" OUTPUT_VERSION = "responses/v1" - -class OCIHttpxAuth(httpx.Auth): - """ - Custom HTTPX authentication class that implements OCI request signing. - - This class handles the authentication flow for HTTPX requests by signing them - using the OCI Signer, which adds the necessary authentication headers for OCI - API calls. - - Attributes: - signer (oci.signer.Signer): The OCI signer instance used for request signing - """ - - def __init__(self, signer: Any): - self.signer = signer - - def auth_flow( - self, request: httpx.Request - ) -> Generator[httpx.Request, httpx.Response, None]: - req = requests.Request( - method=request.method, - url=str(request.url), - headers=dict(request.headers), - data=request.content, - ) - prepared_request = req.prepare() - - # Sign the request using the OCI Signer - self.signer.do_request_sign(prepared_request) - - # Update the original HTTPX request with the signed headers - request.headers.update(prepared_request.headers) - - yield request - - -class OCISessionAuth(OCIHttpxAuth): - """ - OCI authentication implementation using session-based authentication. - - This class implements OCI authentication using a session token and private key - loaded from the OCI configuration file. It's suitable for interactive user sessions. - - """ - - def __init__( - self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE - ): - config = oci.config.from_file(config_file, profile_name) - token = self._load_token(config) - private_key = self._load_private_key(config) - super().__init__( - signer=oci.auth.signers.SecurityTokenSigner(token, private_key) - ) - - def _load_token(self, config: Any) -> str: - token_file = config["security_token_file"] - with open(token_file, "r") as f: - return f.read().strip() - - def _load_private_key(self, config: Any) -> str: - return oci.signer.load_private_key_from_file(config["key_file"]) - - -class OCIResourcePrincipleAuth(OCIHttpxAuth): - """ - OCI authentication implementation using Resource Principal authentication. - - This class implements OCI authentication using Resource Principal credentials, - which is suitable for services running within OCI that need to access other - OCI services. - """ - - def __init__(self, signer: Any) -> None: - super().__init__(signer=oci.auth.signers.get_resource_principals_signer()) - - -class OCIInstancePrincipleAuth(OCIHttpxAuth): - """ - OCI authentication implementation using Instance Principal authentication. - - This class implements OCI authentication using Instance Principal credentials, - which is suitable for compute instances that need to access OCI services. - """ - - def __init__(self, **kwargs: Any) -> None: - super().__init__( - signer=oci.auth.signers.InstancePrincipalsSecurityTokenSigner(**kwargs) - ) - - -class OCIUserPrincipleAuth(OCIHttpxAuth): - """ - OCI authentication implementation using user principle authentication. - - This class implements OCI authentication using API Key credentials loaded from - the OCI configuration file. It's suitable for programmatic access to OCI services. - - Attributes: - signer (oci.signer.Signer): OCI signer configured with API key credentials - """ - - def __init__( - self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE - ) -> None: - config = oci.config.from_file(config_file, profile_name) - oci.config.validate_config(config) - - signer = oci.signer.Signer( - tenancy=config["tenancy"], - user=config["user"], - fingerprint=config["fingerprint"], - private_key_file_location=config.get("key_file"), - # pass_phrase is optional and can be None - pass_phrase=oci.config.get_config_value_or_default(config, "pass_phrase"), - # private_key_content is optional and can be None - private_key_content=config.get("key_content"), - ) - super().__init__(signer=signer) - - -class OCIOpenAI(OpenAI): - """ - A custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) - GenAI Unified API confirming to OpenAI Responses API. - - - Attributes: - auth (httpx.Auth): Authentication handler for OCI - compartment_id (str): Compartment ID for resource isolation - conversation_store_id (str): Conversation Store Id to use when generating responses - region (str): OCI Region where the OCI GenAI Unified API resides - timeout (float | Timeout | None | NotGiven): Request timeout configuration - max_retries (int): Maximum number of retry attempts for failed requests - default_headers (Mapping[str, str] | None): Default HTTP headers - default_query (Mapping[str, object] | None): Default query parameters - override_url (str): OCI Unified API URL to override , if it's different from base url - """ - - def __init__( - self, - auth: httpx.Auth, - compartment_id: str, - conversation_store_id: str, - region: str = "", - override_url: str = "", - timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, - max_retries: int = DEFAULT_MAX_RETRIES, - default_headers: Union[Mapping[str, str], None] = None, - default_query: Union[Mapping[str, object], None] = None, - ) -> None: - super().__init__( - api_key=API_KEY, - base_url=get_base_url(region=region, override_url=override_url), - timeout=timeout, - max_retries=max_retries, - default_headers=default_headers, - default_query=default_query, - http_client=get_sync_httpx_client( +def get_sync_httpx_client(auth: httpx.Auth, compartment_id: str, conversation_store_id: str) -> httpx.Client: + return DefaultHttpxClient( auth=auth, headers={ COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id, - } - ), - ) - - -class OCIAsyncOpenAI(AsyncOpenAI): - """ - A async custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) GenAI - Unified API confirming to OpenAI Responses API. - - Attributes: - auth (httpx.Auth): Authentication handler for OCI - compartment_id (str): OCI compartment ID for resource isolation - conversation_store_id (str): Conversation Store Id to use when generating responses - region (str): OCI Region where the OCI GenAI Unified API resides - timeout (float | Timeout | None | NotGiven): Request timeout configuration - max_retries (int): Maximum number of retry attempts for failed requests - default_headers (Mapping[str, str] | None): Default HTTP headers - default_query (Mapping[str, object] | None): Default query parameters - override_url (str): OCI Unified API URL to override , if it's different from base url - """ - - def __init__( - self, - auth: httpx.Auth, - compartment_id: str, - conversation_store_id: str, - region: str = "", - override_url: str = "", - timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, - max_retries: int = DEFAULT_MAX_RETRIES, - default_headers: Union[Mapping[str, str], None] = None, - default_query: Union[Mapping[str, object], None] = None, - ) -> None: - super().__init__( - api_key=API_KEY, - base_url=get_base_url(region=region, override_url=override_url), - timeout=timeout, - max_retries=max_retries, - default_headers=default_headers, - default_query=default_query, - http_client=get_async_httpx_client( - auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id, - } - ), - ) - + CONVERSATION_STORE_ID_HEADER: conversation_store_id + }, + ) class ChatOCIOpenAI(ChatOpenAI): """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. @@ -253,7 +40,7 @@ class ChatOCIOpenAI(ChatOpenAI): conversation_store_id (str): Conversation Store Id to use when generating responses region (str): OCI Region where the OCI GenAI Unified API resides model (str): Name of OpenAI model to use. - override_url (str): OCI Unified API URL to override , if it's different from base url + service_endpoint (str): OCI Unified API URL to override , if it's different from base url Instantiate: .. code-block:: python @@ -264,8 +51,7 @@ class ChatOCIOpenAI(ChatOpenAI): client = ChatOCIOpenAI( auth=OCIResourcePrincipleAuth(), compartment_id=COMPARTMENT_ID, - region=REGION, - override_url=OVERRIDE_URL, + service_endpoint=OVERRIDE_URL, model=MODEL, conversation_store_id=CONVERSATION_STORE_ID, ) @@ -356,12 +142,12 @@ def validate_openai(cls, values: Any) -> Any: def __init__( self, - auth: OCISessionAuth, + auth: Any, compartment_id: str, conversation_store_id: str, region: str, model: str, - override_url: str = "", + service_endpoint: str = "", **kwargs: Any, ): super().__init__( @@ -369,12 +155,10 @@ def __init__( api_key=SecretStr(API_KEY), http_client=get_sync_httpx_client( auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id, - } + compartment_id=compartment_id, + conversation_store_id=conversation_store_id ), - base_url=get_base_url(region, override_url), + base_url=_resolve_base_url(region=region, base_url=service_endpoint), use_responses_api=True, output_version=OUTPUT_VERSION, **kwargs, diff --git a/libs/oci/langchain_oci/llms/utils.py b/libs/oci/langchain_oci/llms/utils.py index b39a280..7084447 100644 --- a/libs/oci/langchain_oci/llms/utils.py +++ b/libs/oci/langchain_oci/llms/utils.py @@ -13,29 +13,3 @@ def enforce_stop_tokens(text: str, stop: List[str]) -> str: """Cut off the text as soon as any stop words occur.""" return re.split("|".join(stop), text, maxsplit=1)[0] - - -def get_base_url(region: str, override_url: str = "") -> str: - return ( - override_url - if override_url - else f"https://inference.generativeai.{region}.oci.oraclecloud.com/openai/v1" - ) - - -def get_sync_httpx_client( - auth: httpx.Auth, headers: Dict[str, str] -) -> httpx.Client: - return DefaultHttpxClient( - auth=auth, - headers=headers, - ) - - -def get_async_httpx_client( - auth: httpx.Auth, headers: Dict[str, str] -) -> httpx.AsyncClient: - return DefaultAsyncHttpxClient( - auth=auth, - headers=headers, - ) diff --git a/libs/oci/poetry.lock b/libs/oci/poetry.lock index 8d10d36..7a19af5 100644 --- a/libs/oci/poetry.lock +++ b/libs/oci/poetry.lock @@ -1536,6 +1536,27 @@ pytz = ">=2016.10" [package.extras] adk = ["docstring-parser (>=0.16) ; python_version >= \"3.10\" and python_version < \"4\"", "mcp (>=1.6.0) ; python_version >= \"3.10\" and python_version < \"4\"", "pydantic (>=2.10.6) ; python_version >= \"3.10\" and python_version < \"4\"", "rich (>=13.9.4) ; python_version >= \"3.10\" and python_version < \"4\""] +[[package]] +name = "oci-openai" +version = "1.0.0" +description = "OCI authentication and authorization utilities for OpenAI python SDK" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "oci_openai-1.0.0-py3-none-any.whl", hash = "sha256:7fc3b464c7f995b789729755e117a3d0cf911118a0a4f7d313fa57c1bd5f9853"}, + {file = "oci_openai-1.0.0.tar.gz", hash = "sha256:328836457b0c14306083ea865be2397ee1e0e0a846fe296b0be9c552361546df"}, +] + +[package.dependencies] +httpx = ">=0.23.0,<1" +oci = ">=2.150.1" +openai = ">=v1.108.1" +requests = ">=2.32.1,<3.0.0" + +[package.extras] +dev = ["ag2[openai]", "black (>=24.8.0,<25.0.0)", "isort (>=5.13.2,<6.0.0)", "mypy (>=1.11.1,<2.0.0)", "openai-agents (>=0.5.1)", "pytest (>=8.3.2,<9.0.0)", "pytest-asyncio", "pytest-cov (>=5.0.0,<6.0.0)", "pytest-httpx", "pytest-mock", "respx", "ruff (>=0.5.6,<0.6.0)", "typing-extensions (>=4.11,<5)"] + [[package]] name = "openai" version = "2.7.1" @@ -2976,4 +2997,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<4.0" -content-hash = "b7f16b4d57ec78ad1c122c1800a987fbd11cb4b4655c1d54046c1745945ee4cc" +content-hash = "73ecec159261cf9a50212c947e5d29a005088aa4f6cd78572ca1cb519d099b91" diff --git a/libs/oci/pyproject.toml b/libs/oci/pyproject.toml index 97aef88..000653c 100644 --- a/libs/oci/pyproject.toml +++ b/libs/oci/pyproject.toml @@ -18,6 +18,7 @@ oci = ">=2.161.0" pydantic = ">=2,<3" aiohttp = ">=3.12.14" openai = "^2.6.1" +oci-openai = "^1.0.0" [tool.poetry.group.test] optional = true diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 3da243e..8065d42 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -7,17 +7,15 @@ from langchain_core.messages import BaseMessage, HumanMessage from langchain_core.prompts import ChatPromptTemplate from langgraph.graph import END, START, StateGraph +from oci_openai import OciSessionAuth, OciResourcePrincipalAuth, OciInstancePrincipalAuth +from oci_openai.oci_openai import _resolve_base_url from pydantic import BaseModel, Field from langchain_oci.chat_models.oci_generative_ai_responses_api import ( COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER, - ChatOCIOpenAI, - OCIInstancePrincipleAuth, - OCIResourcePrincipleAuth, - OCISessionAuth, + ChatOCIOpenAI ) -from langchain_oci.llms.utils import get_base_url COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" @@ -26,7 +24,7 @@ SESSION_PRINCIPAL = "session_principal" RESOURCE_PRINCIPAL = "resource_principal" INSTANCE_PRINCIPAL = "instance_principal" -BASE_URL = get_base_url(region="us-chicago-1") +BASE_URL = _resolve_base_url(region="us-chicago-1") RESPONSES_URL = f"{BASE_URL}/responses" RESPONSE_ID = "resp_123" @@ -34,9 +32,9 @@ # Fixtures @pytest.fixture( params=[ - (SESSION_PRINCIPAL, OCISessionAuth, {"profile_name": "DEFAULT"}), - (RESOURCE_PRINCIPAL, OCIResourcePrincipleAuth, {}), - (INSTANCE_PRINCIPAL, OCIInstancePrincipleAuth, {}), + (SESSION_PRINCIPAL, OciSessionAuth, {"profile_name": "DEFAULT"}), + (RESOURCE_PRINCIPAL, OciResourcePrincipalAuth, {}), + (INSTANCE_PRINCIPAL, OciInstancePrincipalAuth, {}), ], ids=[SESSION_PRINCIPAL, RESOURCE_PRINCIPAL, INSTANCE_PRINCIPAL], ) @@ -68,10 +66,10 @@ def set_signer(signer_name: str): }, ) patch_token = patch.object( - OCISessionAuth, "_load_token", return_value="fake_token_string" + OciSessionAuth, "_load_token", return_value="fake_token_string" ) patch_private_key = patch.object( - OCISessionAuth, "_load_private_key", return_value="fake_private_key_data" + OciSessionAuth, "_load_private_key", return_value="fake_private_key_data" ) patch_signer = patch( "oci.auth.signers.SecurityTokenSigner", return_value=MagicMock() From dd6ba5d476e9b529fd0bffe730d19e9d517de681 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Thu, 20 Nov 2025 10:29:29 +0530 Subject: [PATCH 06/14] move ChatOCIOpenAI to oci_generative_ai class, address other comments --- ...gchain_oci_openai_responses_api_example.py | 16 +- libs/oci/langchain_oci/__init__.py | 5 +- .../chat_models/oci_generative_ai.py | 167 +++++++++++++++++- .../oci_generative_ai_responses_api.py | 165 ----------------- .../test_oci_generative_ai_responses_api.py | 7 +- 5 files changed, 174 insertions(+), 186 deletions(-) delete mode 100644 libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index 031a73a..c99f611 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -5,20 +5,18 @@ from langchain_oci import ChatOCIOpenAI from rich import print -COMPARTMENT_ID = "" -CONVERSATION_STORE_ID = "" -OVERRIDE_URL = "" -REGION = "" -MODEL = "" -PROFILE_NAME = "" - +COMPARTMENT_ID="ocid1.compartment.oc1..aaaaaaaaexample" +CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1.us-chicago-1.aaaaaaaaexample" +SERVICE_ENDPOINT = "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" +REGION = "us-chicago-1" +MODEL = "openai.gpt-4o" +PROFILE_NAME = "oc1" def get_oci_openai_client(): return ChatOCIOpenAI( auth=OciSessionAuth(profile_name=PROFILE_NAME), compartment_id=COMPARTMENT_ID, - region=REGION, - service_endpoint=OVERRIDE_URL, + service_endpoint=SERVICE_ENDPOINT, model=MODEL, conversation_store_id=CONVERSATION_STORE_ID, ) diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index 4070f7c..05168b9 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -6,10 +6,7 @@ ChatOCIModelDeploymentTGI, ChatOCIModelDeploymentVLLM, ) -from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI -from langchain_oci.chat_models.oci_generative_ai_responses_api import ( - ChatOCIOpenAI -) +from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI, ChatOCIOpenAI from langchain_oci.embeddings.oci_data_science_model_deployment_endpoint import ( OCIModelDeploymentEndpointEmbeddings, ) diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index 4eacf98..0ca9cb8 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -1,6 +1,6 @@ # Copyright (c) 2023 Oracle and/or its affiliates. # Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/ - +import importlib import json import re import uuid @@ -21,6 +21,7 @@ Union, ) +import httpx from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models import LanguageModelInput from langchain_core.language_models.chat_models import ( @@ -51,12 +52,19 @@ from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough from langchain_core.tools import BaseTool from langchain_core.utils.function_calling import convert_to_openai_function -from pydantic import BaseModel, ConfigDict +from langchain_openai import ChatOpenAI +from oci_openai.oci_openai import _resolve_base_url +from openai import DefaultHttpxClient +from pydantic import BaseModel, ConfigDict, model_validator, SecretStr from langchain_oci.llms.oci_generative_ai import OCIGenAIBase from langchain_oci.llms.utils import enforce_stop_tokens CUSTOM_ENDPOINT_PREFIX = "ocid1.generativeaiendpoint" +API_KEY = "" +COMPARTMENT_ID_HEADER = "opc-compartment-id" +CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" +OUTPUT_VERSION = "responses/v1" # Mapping of JSON schema types to Python types JSON_TO_PYTHON_TYPES = { @@ -69,7 +77,6 @@ "any": "any", } - class OCIUtils: """Utility functions for OCI Generative AI integration.""" @@ -1445,3 +1452,157 @@ def _stream( ), generation_info=generation_info, ) + + + +def get_sync_httpx_client(auth: httpx.Auth, compartment_id: str, conversation_store_id: str) -> httpx.Client: + return DefaultHttpxClient( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id + }, + ) +class ChatOCIOpenAI(ChatOpenAI): + """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. + + Setup: + Install ``openai`` and ``langchain-openai``. + + .. code-block:: bash + + pip install -U langchain-oci openai langchain-openai + + Attributes: + auth (httpx.Auth): Authentication handler for OCI request signing. + compartment_id (str): OCI compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + model (str): Name of OpenAI model to use. + region (str | None): The OCI service region, e.g., 'us-chicago-1'. + Must be provided if service_endpoint and base_url are None + service_endpoint (str | None): The OCI service endpoint. when service_endpoint + is provided, the region will be ignored. + base_url (str | None): The OCI service full path URL. when base_url is provided, the region + and service_endpoint will be ignored. + + Instantiate: + .. code-block:: python + + from oci_openai import OciResourcePrincipalAuth + from langchain_oci import ChatOCIOpenAI + client = ChatOCIOpenAI( + auth=OciResourcePrincipalAuth(), + compartment_id=COMPARTMENT_ID, + region="us-chicago-1", + model=MODEL, + conversation_store_id=CONVERSATION_STORE_ID, + ) + + Invoke: + .. code-block:: python + + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + response = client.invoke(messages) + + Prompt Chaining: + .. code-block:: python + + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + "You are a helpful assistant that translates {input_language} to {output_language}.", + ), + ("human", "{input}"), + ] + ) + chain = prompt | client + response = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + + Function Calling: + .. code-block:: python + + class GetWeather(BaseModel): + location: str = Field( + ..., description="The city and state, e.g. San Francisco, CA" + ) + + llm_with_tools = client.bind_tools([GetWeather]) + ai_msg = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + response = ai_msg.tool_calls + + Web Search: + .. code-block:: python + + tool = {"type": "web_search_preview"} + llm_with_tools = client.bind_tools([tool]) + response = llm_with_tools.invoke("What was a positive news story from today?") + + Hosted MCP Calling: + .. code-block:: python + + llm_with_mcp_tools = client.bind_tools( + [ + { + "type": "mcp", + "server_label": "deepwiki", + "server_url": "https://mcp.deepwiki.com/mcp", + "require_approval": "never", + } + ] + ) + response = llm_with_mcp_tools.invoke( + "What transport protocols does the 2025-03-26 version of the MCP " + "spec (modelcontextprotocol/modelcontextprotocol) support?" + ) + """ + + @model_validator(mode="before") + @classmethod + def validate_openai(cls, values: Any) -> Any: + """Checks if langchain_openai is installed.""" + if not importlib.util.find_spec("langchain_openai"): + raise ImportError( + "Could not import langchain_openai package. " + "Please install it with `pip install langchain_openai`." + ) + return values + + def __init__( + self, + auth: httpx.Auth, + compartment_id: str, + conversation_store_id: str, + model: str, + region: str = None, + service_endpoint: str = None, + base_url: str = None, + **kwargs: Any, + ): + super().__init__( + model=model, + api_key=SecretStr(API_KEY), + http_client=get_sync_httpx_client( + auth=auth, + compartment_id=compartment_id, + conversation_store_id=conversation_store_id + ), + base_url=_resolve_base_url(region=region, service_endpoint=service_endpoint, base_url=base_url), + use_responses_api=True, + output_version=OUTPUT_VERSION, + **kwargs, + ) diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py deleted file mode 100644 index 89ed5de..0000000 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py +++ /dev/null @@ -1,165 +0,0 @@ -import importlib -from typing import Any - -import httpx - -from langchain_openai import ChatOpenAI -from oci_openai.oci_openai import _build_base_url, _build_service_endpoint, _resolve_base_url -from openai import DefaultHttpxClient - -from pydantic import SecretStr, model_validator - - -API_KEY = "" -COMPARTMENT_ID_HEADER = "opc-compartment-id" -CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" -OUTPUT_VERSION = "responses/v1" - -def get_sync_httpx_client(auth: httpx.Auth, compartment_id: str, conversation_store_id: str) -> httpx.Client: - return DefaultHttpxClient( - auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id - }, - ) - -class ChatOCIOpenAI(ChatOpenAI): - """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. - - Setup: - Install ``openai`` and ``langchain-openai``. - - .. code-block:: bash - - pip install -U langchain-oci openai langchain-openai - - Attributes: - auth (httpx.Auth): Authentication handler for OCI - compartment_id (str): OCI compartment ID for resource isolation - conversation_store_id (str): Conversation Store Id to use when generating responses - region (str): OCI Region where the OCI GenAI Unified API resides - model (str): Name of OpenAI model to use. - service_endpoint (str): OCI Unified API URL to override , if it's different from base url - - Instantiate: - .. code-block:: python - - from langchain_oci.chat_models.oci_generative_ai_responses_api import ( - ChatOCIOpenAI, OCIResourcePrincipleAuth, - ) - client = ChatOCIOpenAI( - auth=OCIResourcePrincipleAuth(), - compartment_id=COMPARTMENT_ID, - service_endpoint=OVERRIDE_URL, - model=MODEL, - conversation_store_id=CONVERSATION_STORE_ID, - ) - - Invoke: - .. code-block:: python - - messages = [ - ( - "system", - "You are a helpful translator. Translate the user sentence to French.", - ), - ("human", "I love programming."), - ] - response = client.invoke(messages) - - Prompt Chaining: - .. code-block:: python - - prompt = ChatPromptTemplate.from_messages( - [ - ( - "system", - "You are a helpful assistant that translates {input_language} to {output_language}.", - ), - ("human", "{input}"), - ] - ) - chain = prompt | client - response = chain.invoke( - { - "input_language": "English", - "output_language": "German", - "input": "I love programming.", - } - ) - - Function Calling: - .. code-block:: python - - class GetWeather(BaseModel): - location: str = Field( - ..., description="The city and state, e.g. San Francisco, CA" - ) - - llm_with_tools = client.bind_tools([GetWeather]) - ai_msg = llm_with_tools.invoke( - "what is the weather like in San Francisco", - ) - response = ai_msg.tool_calls - - Web Search: - .. code-block:: python - - tool = {"type": "web_search_preview"} - llm_with_tools = client.bind_tools([tool]) - response = llm_with_tools.invoke("What was a positive news story from today?") - - Hosted MCP Calling: - .. code-block:: python - - llm_with_mcp_tools = client.bind_tools( - [ - { - "type": "mcp", - "server_label": "deepwiki", - "server_url": "https://mcp.deepwiki.com/mcp", - "require_approval": "never", - } - ] - ) - response = llm_with_mcp_tools.invoke( - "What transport protocols does the 2025-03-26 version of the MCP " - "spec (modelcontextprotocol/modelcontextprotocol) support?" - ) - """ - - @model_validator(mode="before") - @classmethod - def validate_openai(cls, values: Any) -> Any: - """Checks if langchain_openai is installed.""" - if not importlib.util.find_spec("langchain_openai"): - raise ImportError( - "Could not import langchain_openai package. " - "Please install it with `pip install langchain_openai`." - ) - return values - - def __init__( - self, - auth: Any, - compartment_id: str, - conversation_store_id: str, - region: str, - model: str, - service_endpoint: str = "", - **kwargs: Any, - ): - super().__init__( - model=model, - api_key=SecretStr(API_KEY), - http_client=get_sync_httpx_client( - auth=auth, - compartment_id=compartment_id, - conversation_store_id=conversation_store_id - ), - base_url=_resolve_base_url(region=region, base_url=service_endpoint), - use_responses_api=True, - output_version=OUTPUT_VERSION, - **kwargs, - ) diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 8065d42..0a1615b 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -11,11 +11,8 @@ from oci_openai.oci_openai import _resolve_base_url from pydantic import BaseModel, Field -from langchain_oci.chat_models.oci_generative_ai_responses_api import ( - COMPARTMENT_ID_HEADER, - CONVERSATION_STORE_ID_HEADER, - ChatOCIOpenAI -) +from langchain_oci import ChatOCIOpenAI +from langchain_oci.chat_models.oci_generative_ai import COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" From 50a3263d7300f071f38f2434268ef5942f8f7c1c Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Fri, 21 Nov 2025 09:03:34 +0530 Subject: [PATCH 07/14] address review comments --- libs/oci/README.md | 13 +++++------ .../chat_models/oci_generative_ai.py | 22 ++++++------------- 2 files changed, 13 insertions(+), 22 deletions(-) diff --git a/libs/oci/README.md b/libs/oci/README.md index d33813d..5738261 100644 --- a/libs/oci/README.md +++ b/libs/oci/README.md @@ -83,16 +83,15 @@ structured_llm.invoke("Tell me a joke about programming") `ChatOCIOpenAI` supports OpenAI Responses API. ```python -from langchain_oci import ( - ChatOCIOpenAI, - OCISessionAuth, +from oci_openai import ( + OciSessionAuth, ) +from langchain_oci import ChatOCIOpenAI client = ChatOCIOpenAI( - auth=OCISessionAuth(profile_name="MY_PROFILE_NAME"), + auth=OciSessionAuth(profile_name="MY_PROFILE_NAME"), compartment_id="MY_COMPARTMENT_ID", - region="MY_REGION", - override_url="MY_OVERRIDE_URL", - model="MY_MODEL", + region="us-chicago-1", + model="openai.gpt-4.1", conversation_store_id="MY_CONVERSATION_STORE_ID" ) messages = [ diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index 0ca9cb8..eab154f 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -1453,25 +1453,15 @@ def _stream( generation_info=generation_info, ) - - -def get_sync_httpx_client(auth: httpx.Auth, compartment_id: str, conversation_store_id: str) -> httpx.Client: - return DefaultHttpxClient( - auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id - }, - ) class ChatOCIOpenAI(ChatOpenAI): - """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. + """A custom OCI OpenAI client implementation conforming to OpenAI Responses API. Setup: Install ``openai`` and ``langchain-openai``. .. code-block:: bash - pip install -U langchain-oci openai langchain-openai + pip install -U openai langchain-openai langchain-oci Attributes: auth (httpx.Auth): Authentication handler for OCI request signing. @@ -1596,10 +1586,12 @@ def __init__( super().__init__( model=model, api_key=SecretStr(API_KEY), - http_client=get_sync_httpx_client( + http_client=DefaultHttpxClient( auth=auth, - compartment_id=compartment_id, - conversation_store_id=conversation_store_id + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id + } ), base_url=_resolve_base_url(region=region, service_endpoint=service_endpoint, base_url=base_url), use_responses_api=True, From 5ae4e0be2fb4d1702731197ef79718c23e5a29dd Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Fri, 21 Nov 2025 12:16:06 +0530 Subject: [PATCH 08/14] make conversation store id optional --- libs/oci/README.md | 22 ++++++++ .../chat_models/oci_generative_ai.py | 29 ++++++++-- .../test_oci_generative_ai_responses_api.py | 56 ++++++++++++++++++- 3 files changed, 100 insertions(+), 7 deletions(-) diff --git a/libs/oci/README.md b/libs/oci/README.md index 5738261..76829a1 100644 --- a/libs/oci/README.md +++ b/libs/oci/README.md @@ -103,6 +103,28 @@ messages = [ ] response = client.invoke(messages) ``` +NOTE: By default `store` argument is set to `True` which requires passing `conversation_store_id`. You can set `store` to `False` and not pass `conversation_store_id`. +```python +from oci_openai import ( + OciSessionAuth, +) +from langchain_oci import ChatOCIOpenAI +client = ChatOCIOpenAI( + auth=OciSessionAuth(profile_name="MY_PROFILE_NAME"), + compartment_id="MY_COMPARTMENT_ID", + region="us-chicago-1", + model="openai.gpt-4.1", + store=False + ) +messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] +response = client.invoke(messages) +``` ## OCI Data Science Model Deployment Examples diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index eab154f..22688ce 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -1453,6 +1453,7 @@ def _stream( generation_info=generation_info, ) + class ChatOCIOpenAI(ChatOpenAI): """A custom OCI OpenAI client implementation conforming to OpenAI Responses API. @@ -1466,8 +1467,9 @@ class ChatOCIOpenAI(ChatOpenAI): Attributes: auth (httpx.Auth): Authentication handler for OCI request signing. compartment_id (str): OCI compartment ID for resource isolation - conversation_store_id (str): Conversation Store Id to use when generating responses model (str): Name of OpenAI model to use. + conversation_store_id (str | None): Conversation Store Id to use when generating responses. + Must be provided if store is set to False region (str | None): The OCI service region, e.g., 'us-chicago-1'. Must be provided if service_endpoint and base_url are None service_endpoint (str | None): The OCI service endpoint. when service_endpoint @@ -1572,29 +1574,44 @@ def validate_openai(cls, values: Any) -> Any: ) return values + + + def __init__( self, auth: httpx.Auth, compartment_id: str, - conversation_store_id: str, model: str, + conversation_store_id: Optional[str] = None, region: str = None, service_endpoint: str = None, base_url: str = None, **kwargs: Any, ): + super().__init__( model=model, api_key=SecretStr(API_KEY), http_client=DefaultHttpxClient( auth=auth, - headers={ - COMPARTMENT_ID_HEADER: compartment_id, - CONVERSATION_STORE_ID_HEADER: conversation_store_id - } + headers=_build_headers(compartment_id=compartment_id, conversation_store_id=conversation_store_id, **kwargs) ), base_url=_resolve_base_url(region=region, service_endpoint=service_endpoint, base_url=base_url), use_responses_api=True, output_version=OUTPUT_VERSION, **kwargs, ) + +def _build_headers(compartment_id, conversation_store_id=None, **kwargs): + store = kwargs.get("store", True) + + headers = {COMPARTMENT_ID_HEADER: compartment_id} + + if store: + if conversation_store_id is None: + raise ValueError( + "Conversation Store Id must be provided when store is set to True" + ) + headers[CONVERSATION_STORE_ID_HEADER] = conversation_store_id + + return headers diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 0a1615b..babc022 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -12,7 +12,8 @@ from pydantic import BaseModel, Field from langchain_oci import ChatOCIOpenAI -from langchain_oci.chat_models.oci_generative_ai import COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER +from langchain_oci.chat_models.oci_generative_ai import COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER, \ + _build_headers COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" @@ -379,3 +380,56 @@ def call_model(state: AgentState): assert content["type"] == "text" assert content["text"] == "Paris is the capital of France" _assert_common(httpx_mock=httpx_mock) + + +def test_store_true_with_valid_store_id(): + headers = _build_headers( + "comp123", + conversation_store_id="store456", + store=True + ) + assert headers == { + COMPARTMENT_ID_HEADER: "comp123", + CONVERSATION_STORE_ID_HEADER: "store456", + } + + +def test_store_true_missing_store_id_raises(): + with pytest.raises(ValueError) as excinfo: + _build_headers( + "comp123", + conversation_store_id=None, + store=True + ) + + assert "Conversation Store Id must be provided" in str(excinfo.value) + + +def test_store_default_true_requires_store_id(): + # store defaults to True → should still raise + with pytest.raises(ValueError): + _build_headers("comp123") + + +def test_store_false_ignores_store_id_requirement(): + headers = _build_headers( + "comp123", + conversation_store_id=None, + store=False + ) + assert headers == { + COMPARTMENT_ID_HEADER: "comp123", + } + + +def test_store_false_includes_store_id_if_provided_but_not_required(): + headers = _build_headers( + "comp123", + conversation_store_id="store456", + store=False + ) + # Should NOT include store ID because store=False + assert headers == { + COMPARTMENT_ID_HEADER: "comp123", + } + From 364c2aa2e9e1c86903acd048f6a1ec66f66a90b0 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Fri, 21 Nov 2025 14:25:22 +0530 Subject: [PATCH 09/14] fix lint errors --- ...gchain_oci_openai_responses_api_example.py | 14 +++-- .../chat_models/oci_generative_ai.py | 55 +++++++++++-------- libs/oci/langchain_oci/llms/utils.py | 5 +- libs/oci/pyproject.toml | 1 + .../test_oci_generative_ai_responses_api.py | 48 +++++++--------- 5 files changed, 63 insertions(+), 60 deletions(-) diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py index c99f611..ad43225 100644 --- a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -1,17 +1,20 @@ from langchain_core.prompts import ChatPromptTemplate +from oci_openai import OciSessionAuth from pydantic import BaseModel, Field +from rich import print -from oci_openai import OciSessionAuth from langchain_oci import ChatOCIOpenAI -from rich import print -COMPARTMENT_ID="ocid1.compartment.oc1..aaaaaaaaexample" -CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1.us-chicago-1.aaaaaaaaexample" +COMPARTMENT_ID = "ocid1.compartment.oc1..aaaaaaaaexample" +CONVERSATION_STORE_ID = ( + "ocid1.generativeaiconversationstore.oc1.us-chicago-1.aaaaaaaaexample" +) SERVICE_ENDPOINT = "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" REGION = "us-chicago-1" MODEL = "openai.gpt-4o" PROFILE_NAME = "oc1" + def get_oci_openai_client(): return ChatOCIOpenAI( auth=OciSessionAuth(profile_name=PROFILE_NAME), @@ -41,7 +44,8 @@ def do_prompt_chaining(): [ ( "system", - "You are a helpful assistant that translates {input_language} to {output_language}.", + "You are a helpful assistant that translates {input_language}" + " to {output_language}.", ), ("human", "{input}"), ] diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index 2091c7d..a0f8283 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -54,7 +54,7 @@ from langchain_openai import ChatOpenAI from oci_openai.oci_openai import _resolve_base_url from openai import DefaultHttpxClient -from pydantic import BaseModel, ConfigDict, model_validator, SecretStr +from pydantic import BaseModel, ConfigDict, SecretStr, model_validator from langchain_oci.llms.oci_generative_ai import OCIGenAIBase from langchain_oci.llms.utils import enforce_stop_tokens @@ -76,6 +76,7 @@ "any": "any", } + class OCIUtils: """Utility functions for OCI Generative AI integration.""" @@ -267,9 +268,9 @@ def chat_generation_info(self, response: Any) -> Dict[str, Any]: hasattr(response.data.chat_response, "usage") and response.data.chat_response.usage ): - generation_info["total_tokens"] = ( - response.data.chat_response.usage.total_tokens - ) + generation_info[ + "total_tokens" + ] = response.data.chat_response.usage.total_tokens # Include tool calls if available if self.chat_tool_calls(response): @@ -647,9 +648,9 @@ def chat_generation_info(self, response: Any) -> Dict[str, Any]: hasattr(response.data.chat_response, "usage") and response.data.chat_response.usage ): - generation_info["total_tokens"] = ( - response.data.chat_response.usage.total_tokens - ) + generation_info[ + "total_tokens" + ] = response.data.chat_response.usage.total_tokens if self.chat_tool_calls(response): generation_info["tool_calls"] = self.format_response_tool_calls( @@ -1486,13 +1487,15 @@ class ChatOCIOpenAI(ChatOpenAI): auth (httpx.Auth): Authentication handler for OCI request signing. compartment_id (str): OCI compartment ID for resource isolation model (str): Name of OpenAI model to use. - conversation_store_id (str | None): Conversation Store Id to use when generating responses. + conversation_store_id (str | None): Conversation Store Id to use + when generating responses. Must be provided if store is set to False region (str | None): The OCI service region, e.g., 'us-chicago-1'. Must be provided if service_endpoint and base_url are None service_endpoint (str | None): The OCI service endpoint. when service_endpoint is provided, the region will be ignored. - base_url (str | None): The OCI service full path URL. when base_url is provided, the region + base_url (str | None): The OCI service full path URL. + when base_url is provided, the region and service_endpoint will be ignored. Instantiate: @@ -1500,6 +1503,7 @@ class ChatOCIOpenAI(ChatOpenAI): from oci_openai import OciResourcePrincipalAuth from langchain_oci import ChatOCIOpenAI + client = ChatOCIOpenAI( auth=OciResourcePrincipalAuth(), compartment_id=COMPARTMENT_ID, @@ -1514,9 +1518,10 @@ class ChatOCIOpenAI(ChatOpenAI): messages = [ ( "system", - "You are a helpful translator. Translate the user sentence to French.", + "You are a helpful translator. Translate the user + sentence to French.", ), - ("human", "I love programming."), + ("human", "I love programming."), ] response = client.invoke(messages) @@ -1527,7 +1532,8 @@ class ChatOCIOpenAI(ChatOpenAI): [ ( "system", - "You are a helpful assistant that translates {input_language} to {output_language}.", + "You are a helpful assistant that translates + {input_language} to {output_language}.", ), ("human", "{input}"), ] @@ -1549,6 +1555,7 @@ class GetWeather(BaseModel): ..., description="The city and state, e.g. San Francisco, CA" ) + llm_with_tools = client.bind_tools([GetWeather]) ai_msg = llm_with_tools.invoke( "what is the weather like in San Francisco", @@ -1560,7 +1567,8 @@ class GetWeather(BaseModel): tool = {"type": "web_search_preview"} llm_with_tools = client.bind_tools([tool]) - response = llm_with_tools.invoke("What was a positive news story from today?") + response = llm_with_tools.invoke("What was a + positive news story from today?") Hosted MCP Calling: .. code-block:: python @@ -1592,34 +1600,37 @@ def validate_openai(cls, values: Any) -> Any: ) return values - - - def __init__( self, auth: httpx.Auth, compartment_id: str, model: str, conversation_store_id: Optional[str] = None, - region: str = None, - service_endpoint: str = None, - base_url: str = None, + region: Optional[str] = None, + service_endpoint: Optional[str] = None, + base_url: Optional[str] = None, **kwargs: Any, ): - super().__init__( model=model, api_key=SecretStr(API_KEY), http_client=DefaultHttpxClient( auth=auth, - headers=_build_headers(compartment_id=compartment_id, conversation_store_id=conversation_store_id, **kwargs) + headers=_build_headers( + compartment_id=compartment_id, + conversation_store_id=conversation_store_id, + **kwargs, + ), + ), + base_url=_resolve_base_url( + region=region, service_endpoint=service_endpoint, base_url=base_url ), - base_url=_resolve_base_url(region=region, service_endpoint=service_endpoint, base_url=base_url), use_responses_api=True, output_version=OUTPUT_VERSION, **kwargs, ) + def _build_headers(compartment_id, conversation_store_id=None, **kwargs): store = kwargs.get("store", True) diff --git a/libs/oci/langchain_oci/llms/utils.py b/libs/oci/langchain_oci/llms/utils.py index 7084447..bc55573 100644 --- a/libs/oci/langchain_oci/llms/utils.py +++ b/libs/oci/langchain_oci/llms/utils.py @@ -4,10 +4,7 @@ """Common utility functions for LLM APIs.""" import re -from typing import List, Dict - -import httpx -from openai import DefaultHttpxClient, DefaultAsyncHttpxClient +from typing import List def enforce_stop_tokens(text: str, stop: List[str]) -> str: diff --git a/libs/oci/pyproject.toml b/libs/oci/pyproject.toml index 9a6ff50..dc312a1 100644 --- a/libs/oci/pyproject.toml +++ b/libs/oci/pyproject.toml @@ -99,6 +99,7 @@ module = [ "oci.*", "ads.*", "langchain_openai.*", + "oci_openai.*", ] ignore_missing_imports = true diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index babc022..af248c9 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -7,13 +7,20 @@ from langchain_core.messages import BaseMessage, HumanMessage from langchain_core.prompts import ChatPromptTemplate from langgraph.graph import END, START, StateGraph -from oci_openai import OciSessionAuth, OciResourcePrincipalAuth, OciInstancePrincipalAuth +from oci_openai import ( + OciInstancePrincipalAuth, + OciResourcePrincipalAuth, + OciSessionAuth, +) from oci_openai.oci_openai import _resolve_base_url from pydantic import BaseModel, Field from langchain_oci import ChatOCIOpenAI -from langchain_oci.chat_models.oci_generative_ai import COMPARTMENT_ID_HEADER, CONVERSATION_STORE_ID_HEADER, \ - _build_headers +from langchain_oci.chat_models.oci_generative_ai import ( + COMPARTMENT_ID_HEADER, + CONVERSATION_STORE_ID_HEADER, + _build_headers, +) COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" @@ -241,7 +248,7 @@ def oci_openai_client(auth_instance): ) return client - +@pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): # ---- Arrange ---- @@ -261,7 +268,7 @@ def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): assert result.content[0]["text"] == "j'adore la programmation" _assert_common(httpx_mock=httpx_mock) - +@pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): # ---- Arrange ---- @@ -292,7 +299,7 @@ def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): assert result.content[0]["text"] == "j'adore la programmation" _assert_common(httpx_mock=httpx_mock) - +@pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): # ---- Arrange ---- @@ -310,7 +317,7 @@ def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): json.loads((ai_msg.content[0]["arguments"]))["location"] == "San Francisco, MA" _assert_common(httpx_mock=httpx_mock) - +@pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_web_search(httpx_mock, auth_instance, oci_openai_client): # ---- Arrange ---- @@ -351,7 +358,7 @@ def _set_mock_client_invoke_response_langgraph(httpx_mock): status_code=200, ) - +@pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_chat_graph(httpx_mock, auth_instance, oci_openai_client): # ---- Arrange ---- @@ -383,11 +390,7 @@ def call_model(state: AgentState): def test_store_true_with_valid_store_id(): - headers = _build_headers( - "comp123", - conversation_store_id="store456", - store=True - ) + headers = _build_headers("comp123", conversation_store_id="store456", store=True) assert headers == { COMPARTMENT_ID_HEADER: "comp123", CONVERSATION_STORE_ID_HEADER: "store456", @@ -396,11 +399,7 @@ def test_store_true_with_valid_store_id(): def test_store_true_missing_store_id_raises(): with pytest.raises(ValueError) as excinfo: - _build_headers( - "comp123", - conversation_store_id=None, - store=True - ) + _build_headers("comp123", conversation_store_id=None, store=True) assert "Conversation Store Id must be provided" in str(excinfo.value) @@ -412,24 +411,15 @@ def test_store_default_true_requires_store_id(): def test_store_false_ignores_store_id_requirement(): - headers = _build_headers( - "comp123", - conversation_store_id=None, - store=False - ) + headers = _build_headers("comp123", conversation_store_id=None, store=False) assert headers == { COMPARTMENT_ID_HEADER: "comp123", } def test_store_false_includes_store_id_if_provided_but_not_required(): - headers = _build_headers( - "comp123", - conversation_store_id="store456", - store=False - ) + headers = _build_headers("comp123", conversation_store_id="store456", store=False) # Should NOT include store ID because store=False assert headers == { COMPARTMENT_ID_HEADER: "comp123", } - From f02b5eae9e81d586efad96c204d0a51f2a05f59c Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Fri, 21 Nov 2025 14:42:46 +0530 Subject: [PATCH 10/14] fix lint errors --- libs/oci/langchain_oci/__init__.py | 2 +- .../embeddings/oci_generative_ai.py | 12 +++++------ .../langchain_oci/llms/oci_generative_ai.py | 18 +++++++++------- libs/oci/tests/conftest.py | 3 ++- .../chat_models/test_response_format.py | 20 +++++++++--------- .../chat_models/test_tool_calling.py | 21 ++++++++++--------- .../test_oci_generative_ai_responses_api.py | 7 ++++++- .../chat_models/test_response_format.py | 18 ++++++++-------- 8 files changed, 55 insertions(+), 46 deletions(-) diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index 05168b9..b5a086c 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -32,5 +32,5 @@ "OCIModelDeploymentLLM", "OCIModelDeploymentTGI", "OCIModelDeploymentVLLM", - "ChatOCIOpenAI" + "ChatOCIOpenAI", ] diff --git a/libs/oci/langchain_oci/embeddings/oci_generative_ai.py b/libs/oci/langchain_oci/embeddings/oci_generative_ai.py index 4254982..8df7964 100644 --- a/libs/oci/langchain_oci/embeddings/oci_generative_ai.py +++ b/libs/oci/langchain_oci/embeddings/oci_generative_ai.py @@ -143,13 +143,13 @@ def make_security_token_signer(oci_config): oci_config=client_kwargs["config"] ) elif values["auth_type"] == OCIAuthType(3).name: - client_kwargs["signer"] = ( - oci.auth.signers.InstancePrincipalsSecurityTokenSigner() - ) + client_kwargs[ + "signer" + ] = oci.auth.signers.InstancePrincipalsSecurityTokenSigner() elif values["auth_type"] == OCIAuthType(4).name: - client_kwargs["signer"] = ( - oci.auth.signers.get_resource_principals_signer() - ) + client_kwargs[ + "signer" + ] = oci.auth.signers.get_resource_principals_signer() else: raise ValueError("Please provide valid value to auth_type") diff --git a/libs/oci/langchain_oci/llms/oci_generative_ai.py b/libs/oci/langchain_oci/llms/oci_generative_ai.py index e5843c4..4304f3b 100644 --- a/libs/oci/langchain_oci/llms/oci_generative_ai.py +++ b/libs/oci/langchain_oci/llms/oci_generative_ai.py @@ -22,10 +22,12 @@ class Provider(ABC): @property @abstractmethod - def stop_sequence_key(self) -> str: ... + def stop_sequence_key(self) -> str: + ... @abstractmethod - def completion_response_to_text(self, response: Any) -> str: ... + def completion_response_to_text(self, response: Any) -> str: + ... class CohereProvider(Provider): @@ -169,13 +171,13 @@ def make_security_token_signer(oci_config): oci_config=client_kwargs["config"] ) elif values["auth_type"] == OCIAuthType(3).name: - client_kwargs["signer"] = ( - oci.auth.signers.InstancePrincipalsSecurityTokenSigner() - ) + client_kwargs[ + "signer" + ] = oci.auth.signers.InstancePrincipalsSecurityTokenSigner() elif values["auth_type"] == OCIAuthType(4).name: - client_kwargs["signer"] = ( - oci.auth.signers.get_resource_principals_signer() - ) + client_kwargs[ + "signer" + ] = oci.auth.signers.get_resource_principals_signer() else: raise ValueError( "Please provide valid value to auth_type, " diff --git a/libs/oci/tests/conftest.py b/libs/oci/tests/conftest.py index f102ccb..6f22c00 100644 --- a/libs/oci/tests/conftest.py +++ b/libs/oci/tests/conftest.py @@ -20,7 +20,8 @@ def pytest_collection_modifyitems(config: Config, items: Sequence[Function]) -> .. code-block:: python @pytest.mark.requires("package1", "package2") - def test_something(): ... + def test_something(): + ... """ # Mapping from the name of a package to whether it is installed or not. # Used to avoid repeated calls to `util.find_spec` diff --git a/libs/oci/tests/integration_tests/chat_models/test_response_format.py b/libs/oci/tests/integration_tests/chat_models/test_response_format.py index ca32fcc..cedabc1 100644 --- a/libs/oci/tests/integration_tests/chat_models/test_response_format.py +++ b/libs/oci/tests/integration_tests/chat_models/test_response_format.py @@ -195,9 +195,9 @@ class Person(BaseModel): ) # Verify we got a Person object - assert isinstance(result, Person), ( - f"Should return Person object, got {type(result)}" - ) + assert isinstance( + result, Person + ), f"Should return Person object, got {type(result)}" assert hasattr(result, "name"), "Should have name attribute" assert hasattr(result, "age"), "Should have age attribute" @@ -241,9 +241,9 @@ class Product(BaseModel): ) # Verify we got a Product object with correct types - assert isinstance(result, Product), ( - f"Should return Product object, got {type(result)}" - ) + assert isinstance( + result, Product + ), f"Should return Product object, got {type(result)}" assert isinstance(result.product_name, str), "product_name should be string" assert isinstance(result.price, (int, float)), "price should be numeric" assert isinstance(result.in_stock, bool), "in_stock should be boolean" @@ -283,7 +283,7 @@ def test_response_format_via_model_kwargs(): # Verify valid JSON try: - parsed = json.loads(response.content) + parsed = json.loads(response.content) # type: ignore assert isinstance(parsed, dict), "Response should be a JSON object" except json.JSONDecodeError as e: pytest.fail( @@ -318,9 +318,9 @@ def test_json_mode_complex_nested_structure(): # Try to verify it has some nested structure has_nested = any(isinstance(v, (dict, list)) for v in parsed.values()) - assert has_nested or len(str(parsed)) > 50, ( - "Should have some nested structure or substantial content" - ) + assert ( + has_nested or len(str(parsed)) > 50 + ), "Should have some nested structure or substantial content" except json.JSONDecodeError as e: pytest.fail(f"Complex JSON failed: {e}\nContent: {response.content}") diff --git a/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py b/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py index 0936afe..65bf139 100644 --- a/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py +++ b/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py @@ -190,13 +190,13 @@ def test_tool_calling_no_infinite_loop(model_id: str, weather_tool: StructuredTo # Verify final message is an AI response without tool calls final_message = messages[-1] - assert type(final_message).__name__ == "AIMessage", ( - "Final message should be AIMessage" - ) + assert ( + type(final_message).__name__ == "AIMessage" + ), "Final message should be AIMessage" assert final_message.content, "Final message should have content" - assert not (hasattr(final_message, "tool_calls") and final_message.tool_calls), ( - "Final message should not have tool_calls (infinite loop prevention)" - ) + assert not ( + hasattr(final_message, "tool_calls") and final_message.tool_calls + ), "Final message should not have tool_calls (infinite loop prevention)" # Note: Different models format responses differently. Some return # natural language, others may return the tool call syntax. The @@ -428,7 +428,7 @@ def should_continue(state: MessagesState): # Invoke agent with a diagnostic scenario result = agent.invoke( - { + { # type: ignore "messages": [ SystemMessage(content=system_prompt), HumanMessage( @@ -479,9 +479,10 @@ def should_continue(state: MessagesState): # the max_sequential_tool_calls limit, which is expected behavior. # The key is that it STOPPED (didn't continue infinitely). final_message = messages[-1] - assert type(final_message).__name__ in ["AIMessage", "ToolMessage"], ( - "Final message should be AIMessage or ToolMessage" - ) + assert type(final_message).__name__ in [ + "AIMessage", + "ToolMessage", + ], "Final message should be AIMessage or ToolMessage" # Verify the agent didn't hit infinite loop by checking message count # With max_sequential_tool_calls=8, we expect roughly: diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index af248c9..6d72f72 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -248,6 +248,7 @@ def oci_openai_client(auth_instance): ) return client + @pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): @@ -268,6 +269,7 @@ def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): assert result.content[0]["text"] == "j'adore la programmation" _assert_common(httpx_mock=httpx_mock) + @pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): @@ -299,6 +301,7 @@ def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): assert result.content[0]["text"] == "j'adore la programmation" _assert_common(httpx_mock=httpx_mock) + @pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): @@ -317,6 +320,7 @@ def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): json.loads((ai_msg.content[0]["arguments"]))["location"] == "San Francisco, MA" _assert_common(httpx_mock=httpx_mock) + @pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_web_search(httpx_mock, auth_instance, oci_openai_client): @@ -358,6 +362,7 @@ def _set_mock_client_invoke_response_langgraph(httpx_mock): status_code=200, ) + @pytest.mark.requires("langchain_openai") @pytest.mark.usefixtures("httpx_mock") def test_chat_graph(httpx_mock, auth_instance, oci_openai_client): @@ -380,7 +385,7 @@ def call_model(state: AgentState): # ---- Act ---- app = workflow.compile() input_message = HumanMessage(content="What is the capital of France?") - result = app.invoke({"messages": [input_message]}) + result = app.invoke({"messages": [input_message]}) # type: ignore # ---- Assert ---- content = result["messages"][1].content[0] diff --git a/libs/oci/tests/unit_tests/chat_models/test_response_format.py b/libs/oci/tests/unit_tests/chat_models/test_response_format.py index ed0bb70..32cdbe5 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_response_format.py +++ b/libs/oci/tests/unit_tests/chat_models/test_response_format.py @@ -17,7 +17,7 @@ def test_response_format_via_model_kwargs(): model_kwargs={"response_format": {"type": "JSON_OBJECT"}}, client=oci_gen_ai_client, ) - assert llm.model_kwargs["response_format"] == {"type": "JSON_OBJECT"} + assert llm.model_kwargs["response_format"] == {"type": "JSON_OBJECT"} # type: ignore @pytest.mark.requires("oci") @@ -37,8 +37,8 @@ def test_response_format_via_bind(): # Should not raise TypeError anymore llm_with_format = llm.bind(response_format={"type": "JSON_OBJECT"}) - assert "response_format" in llm_with_format.kwargs - assert llm_with_format.kwargs["response_format"] == {"type": "JSON_OBJECT"} + assert "response_format" in llm_with_format.kwargs # type: ignore + assert llm_with_format.kwargs["response_format"] == {"type": "JSON_OBJECT"} # type: ignore @pytest.mark.requires("oci") @@ -51,11 +51,11 @@ def test_response_format_passed_to_api_generic(): llm_with_format = llm.bind(response_format={"type": "JSON_OBJECT"}) # Prepare a request - request = llm_with_format._prepare_request( + request = llm_with_format._prepare_request( # type: ignore [HumanMessage(content="Hello")], stop=None, stream=False, - **llm_with_format.kwargs, + **llm_with_format.kwargs, # type: ignore ) # Verify response_format is in the request @@ -73,11 +73,11 @@ def test_response_format_passed_to_api_cohere(): llm_with_format = llm.bind(response_format={"type": "JSON_OBJECT"}) # Prepare a request - request = llm_with_format._prepare_request( + request = llm_with_format._prepare_request( # type: ignore [HumanMessage(content="Hello")], stop=None, stream=False, - **llm_with_format.kwargs, + **llm_with_format.kwargs, # type: ignore ) # Verify response_format is in the request @@ -149,8 +149,8 @@ def test_response_format_json_schema_object(): llm_with_format = llm.bind(response_format=response_format_obj) # Verify it's stored in kwargs - assert "response_format" in llm_with_format.kwargs - assert llm_with_format.kwargs["response_format"] == response_format_obj + assert "response_format" in llm_with_format.kwargs # type: ignore + assert llm_with_format.kwargs["response_format"] == response_format_obj # type: ignore @pytest.mark.requires("oci") From f95e2b6e6b7a51d2fbbc3c4b3dc33ff76c087821 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Fri, 21 Nov 2025 14:53:47 +0530 Subject: [PATCH 11/14] fix lint errors in python 3.12 --- .../chat_models/oci_generative_ai.py | 12 ++++++------ .../embeddings/oci_generative_ai.py | 12 ++++++------ .../langchain_oci/llms/oci_generative_ai.py | 18 ++++++++---------- libs/oci/tests/conftest.py | 3 +-- .../chat_models/test_response_format.py | 18 +++++++++--------- .../chat_models/test_tool_calling.py | 14 +++++++------- .../test_oci_generative_ai_responses_api.py | 2 +- 7 files changed, 38 insertions(+), 41 deletions(-) diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index a0f8283..64a1d08 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -268,9 +268,9 @@ def chat_generation_info(self, response: Any) -> Dict[str, Any]: hasattr(response.data.chat_response, "usage") and response.data.chat_response.usage ): - generation_info[ - "total_tokens" - ] = response.data.chat_response.usage.total_tokens + generation_info["total_tokens"] = ( + response.data.chat_response.usage.total_tokens + ) # Include tool calls if available if self.chat_tool_calls(response): @@ -648,9 +648,9 @@ def chat_generation_info(self, response: Any) -> Dict[str, Any]: hasattr(response.data.chat_response, "usage") and response.data.chat_response.usage ): - generation_info[ - "total_tokens" - ] = response.data.chat_response.usage.total_tokens + generation_info["total_tokens"] = ( + response.data.chat_response.usage.total_tokens + ) if self.chat_tool_calls(response): generation_info["tool_calls"] = self.format_response_tool_calls( diff --git a/libs/oci/langchain_oci/embeddings/oci_generative_ai.py b/libs/oci/langchain_oci/embeddings/oci_generative_ai.py index 8df7964..4254982 100644 --- a/libs/oci/langchain_oci/embeddings/oci_generative_ai.py +++ b/libs/oci/langchain_oci/embeddings/oci_generative_ai.py @@ -143,13 +143,13 @@ def make_security_token_signer(oci_config): oci_config=client_kwargs["config"] ) elif values["auth_type"] == OCIAuthType(3).name: - client_kwargs[ - "signer" - ] = oci.auth.signers.InstancePrincipalsSecurityTokenSigner() + client_kwargs["signer"] = ( + oci.auth.signers.InstancePrincipalsSecurityTokenSigner() + ) elif values["auth_type"] == OCIAuthType(4).name: - client_kwargs[ - "signer" - ] = oci.auth.signers.get_resource_principals_signer() + client_kwargs["signer"] = ( + oci.auth.signers.get_resource_principals_signer() + ) else: raise ValueError("Please provide valid value to auth_type") diff --git a/libs/oci/langchain_oci/llms/oci_generative_ai.py b/libs/oci/langchain_oci/llms/oci_generative_ai.py index 4304f3b..e5843c4 100644 --- a/libs/oci/langchain_oci/llms/oci_generative_ai.py +++ b/libs/oci/langchain_oci/llms/oci_generative_ai.py @@ -22,12 +22,10 @@ class Provider(ABC): @property @abstractmethod - def stop_sequence_key(self) -> str: - ... + def stop_sequence_key(self) -> str: ... @abstractmethod - def completion_response_to_text(self, response: Any) -> str: - ... + def completion_response_to_text(self, response: Any) -> str: ... class CohereProvider(Provider): @@ -171,13 +169,13 @@ def make_security_token_signer(oci_config): oci_config=client_kwargs["config"] ) elif values["auth_type"] == OCIAuthType(3).name: - client_kwargs[ - "signer" - ] = oci.auth.signers.InstancePrincipalsSecurityTokenSigner() + client_kwargs["signer"] = ( + oci.auth.signers.InstancePrincipalsSecurityTokenSigner() + ) elif values["auth_type"] == OCIAuthType(4).name: - client_kwargs[ - "signer" - ] = oci.auth.signers.get_resource_principals_signer() + client_kwargs["signer"] = ( + oci.auth.signers.get_resource_principals_signer() + ) else: raise ValueError( "Please provide valid value to auth_type, " diff --git a/libs/oci/tests/conftest.py b/libs/oci/tests/conftest.py index 6f22c00..f102ccb 100644 --- a/libs/oci/tests/conftest.py +++ b/libs/oci/tests/conftest.py @@ -20,8 +20,7 @@ def pytest_collection_modifyitems(config: Config, items: Sequence[Function]) -> .. code-block:: python @pytest.mark.requires("package1", "package2") - def test_something(): - ... + def test_something(): ... """ # Mapping from the name of a package to whether it is installed or not. # Used to avoid repeated calls to `util.find_spec` diff --git a/libs/oci/tests/integration_tests/chat_models/test_response_format.py b/libs/oci/tests/integration_tests/chat_models/test_response_format.py index cedabc1..fc1d1d9 100644 --- a/libs/oci/tests/integration_tests/chat_models/test_response_format.py +++ b/libs/oci/tests/integration_tests/chat_models/test_response_format.py @@ -195,9 +195,9 @@ class Person(BaseModel): ) # Verify we got a Person object - assert isinstance( - result, Person - ), f"Should return Person object, got {type(result)}" + assert isinstance(result, Person), ( + f"Should return Person object, got {type(result)}" + ) assert hasattr(result, "name"), "Should have name attribute" assert hasattr(result, "age"), "Should have age attribute" @@ -241,9 +241,9 @@ class Product(BaseModel): ) # Verify we got a Product object with correct types - assert isinstance( - result, Product - ), f"Should return Product object, got {type(result)}" + assert isinstance(result, Product), ( + f"Should return Product object, got {type(result)}" + ) assert isinstance(result.product_name, str), "product_name should be string" assert isinstance(result.price, (int, float)), "price should be numeric" assert isinstance(result.in_stock, bool), "in_stock should be boolean" @@ -318,9 +318,9 @@ def test_json_mode_complex_nested_structure(): # Try to verify it has some nested structure has_nested = any(isinstance(v, (dict, list)) for v in parsed.values()) - assert ( - has_nested or len(str(parsed)) > 50 - ), "Should have some nested structure or substantial content" + assert has_nested or len(str(parsed)) > 50, ( + "Should have some nested structure or substantial content" + ) except json.JSONDecodeError as e: pytest.fail(f"Complex JSON failed: {e}\nContent: {response.content}") diff --git a/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py b/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py index 65bf139..9c07763 100644 --- a/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py +++ b/libs/oci/tests/integration_tests/chat_models/test_tool_calling.py @@ -190,13 +190,13 @@ def test_tool_calling_no_infinite_loop(model_id: str, weather_tool: StructuredTo # Verify final message is an AI response without tool calls final_message = messages[-1] - assert ( - type(final_message).__name__ == "AIMessage" - ), "Final message should be AIMessage" + assert type(final_message).__name__ == "AIMessage", ( + "Final message should be AIMessage" + ) assert final_message.content, "Final message should have content" - assert not ( - hasattr(final_message, "tool_calls") and final_message.tool_calls - ), "Final message should not have tool_calls (infinite loop prevention)" + assert not (hasattr(final_message, "tool_calls") and final_message.tool_calls), ( + "Final message should not have tool_calls (infinite loop prevention)" + ) # Note: Different models format responses differently. Some return # natural language, others may return the tool call syntax. The @@ -428,7 +428,7 @@ def should_continue(state: MessagesState): # Invoke agent with a diagnostic scenario result = agent.invoke( - { # type: ignore + { "messages": [ SystemMessage(content=system_prompt), HumanMessage( diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py index 6d72f72..62d63ce 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_generative_ai_responses_api.py @@ -385,7 +385,7 @@ def call_model(state: AgentState): # ---- Act ---- app = workflow.compile() input_message = HumanMessage(content="What is the capital of France?") - result = app.invoke({"messages": [input_message]}) # type: ignore + result = app.invoke({"messages": [input_message]}) # ---- Assert ---- content = result["messages"][1].content[0] From bb5519c0bee24a5ad93e369cf23459a25eee662b Mon Sep 17 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platform information API" optional = false python-versions = ">=3.6" -groups = ["main"] +groups = ["main", "test"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -1230,7 +1230,7 @@ version = "0.12.0" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.9" -groups = ["main"] +groups = ["main", "test"] files = [ {file = "jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65"}, {file = "jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:364f1a7294c91281260364222f535bc427f56d4de1d8ffd718162d21fbbd602e"}, @@ -1425,6 +1425,23 @@ PyYAML = ">=5.3.0,<7.0.0" tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0" typing-extensions = ">=4.7.0,<5.0.0" +[[package]] +name = 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"^0.28.0" responses = "^0.25.8" langgraph = "^0.2.0" +langchain-openai = "^0.3.35" [tool.poetry.group.codespell] From 71248dfd22ae0b8d13afccb5b587b79f30f8e3de Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Sat, 22 Nov 2025 14:32:08 +0530 Subject: [PATCH 13/14] fixing incorrect requires mark --- .../unit_tests/chat_models/test_oci_data_science.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/libs/oci/tests/unit_tests/chat_models/test_oci_data_science.py b/libs/oci/tests/unit_tests/chat_models/test_oci_data_science.py index f3bf9d1..68b7e7a 100644 --- a/libs/oci/tests/unit_tests/chat_models/test_oci_data_science.py +++ b/libs/oci/tests/unit_tests/chat_models/test_oci_data_science.py @@ -112,8 +112,7 @@ def mocked_requests_post(url: str, **kwargs: Any) -> MockResponse: ) -@pytest.mark.requires("ads") -@pytest.mark.requires("langchain_openai") +@pytest.mark.requires("ads", "langchain_openai") @mock.patch("ads.common.auth.default_signer", return_value=dict(signer=None)) @mock.patch("requests.post", side_effect=mocked_requests_post) def test_invoke_vllm(*args: Any) -> None: @@ -125,8 +124,7 @@ def test_invoke_vllm(*args: Any) -> None: assert output.content == CONST_COMPLETION -@pytest.mark.requires("ads") -@pytest.mark.requires("langchain_openai") +@pytest.mark.requires("ads", "langchain_openai") @mock.patch("ads.common.auth.default_signer", return_value=dict(signer=None)) @mock.patch("requests.post", side_effect=mocked_requests_post) def test_invoke_tgi(*args: Any) -> None: @@ -138,8 +136,7 @@ def test_invoke_tgi(*args: Any) -> None: assert output.content == CONST_COMPLETION -@pytest.mark.requires("ads") -@pytest.mark.requires("langchain_openai") +@pytest.mark.requires("ads", "langchain_openai") @mock.patch("ads.common.auth.default_signer", return_value=dict(signer=None)) @mock.patch("requests.post", side_effect=mocked_requests_post) def test_stream_vllm(*args: Any) -> None: @@ -172,8 +169,7 @@ async def mocked_async_streaming_response( @pytest.mark.asyncio -@pytest.mark.requires("ads") -@pytest.mark.requires("langchain_openai") +@pytest.mark.requires("ads", "langchain_openai") @mock.patch( "ads.common.auth.default_signer", return_value=dict(signer=mock.MagicMock()) ) From ac7a18bb077633c425e9a97d715e0fef38f94086 Mon Sep 17 00:00:00 2001 From: Furqan Shaikh Date: Mon, 24 Nov 2025 12:41:06 +0530 Subject: [PATCH 14/14] add _resolve_base_url in try..except block --- libs/oci/langchain_oci/chat_models/oci_generative_ai.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py index 64a1d08..1afca28 100644 --- a/libs/oci/langchain_oci/chat_models/oci_generative_ai.py +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai.py @@ -52,7 +52,6 @@ from langchain_core.tools import BaseTool from langchain_core.utils.function_calling import convert_to_openai_function from langchain_openai import ChatOpenAI -from oci_openai.oci_openai import _resolve_base_url from openai import DefaultHttpxClient from pydantic import BaseModel, ConfigDict, SecretStr, model_validator @@ -1611,6 +1610,14 @@ def __init__( base_url: Optional[str] = None, **kwargs: Any, ): + try: + from oci_openai.oci_openai import _resolve_base_url + except ImportError as e: + raise ImportError( + "Could not import _resolve_base_url. " + "Please install: pip install oci-openai" + ) from e + super().__init__( model=model, api_key=SecretStr(API_KEY),