From 6bcf72b68b133a81c910f0361794a6b22534f45d Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Sun, 6 Jul 2025 15:44:23 -0400 Subject: [PATCH 01/69] Update dependencies in pyproject.toml and uv.lock Upgraded multiple dependencies, including `llama-index`, `llama-index-core`, and `langchain-openai` to newer versions for compatibility and stability improvements. Adjusted `uv.lock` to reflect updated dependency revisions and metadata changes. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_langchain/pyproject.toml | 2 +- .../aiqtoolkit_llama_index/pyproject.toml | 6 +- uv.lock | 4324 +++++++++-------- 3 files changed, 2181 insertions(+), 2151 deletions(-) diff --git a/packages/aiqtoolkit_langchain/pyproject.toml b/packages/aiqtoolkit_langchain/pyproject.toml index 99f34c637..cf01777ab 100644 --- a/packages/aiqtoolkit_langchain/pyproject.toml +++ b/packages/aiqtoolkit_langchain/pyproject.toml @@ -24,7 +24,7 @@ dependencies = [ "langchain-core~=0.3.7", "langchain-nvidia-ai-endpoints~=0.3.5", "langchain-milvus~=0.1.5", - "langchain-openai~=0.3.5", + "langchain-openai~=0.3.27", "langgraph~=0.2.50", "langchain-milvus~=0.1.8" ] diff --git a/packages/aiqtoolkit_llama_index/pyproject.toml b/packages/aiqtoolkit_llama_index/pyproject.toml index f6f1659e6..737df47e0 100644 --- a/packages/aiqtoolkit_llama_index/pyproject.toml +++ b/packages/aiqtoolkit_llama_index/pyproject.toml 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dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Sun, 6 Jul 2025 16:34:37 -0400 Subject: [PATCH 02/69] Add API type validation and configuration for LLMs Introduce `APITypeEnum` to define supported API types and add `api_type` field in `LLMBaseConfig` with default and schema extras. Update LangChain plugin to validate API type for NVIDIA and AWS Bedrock, and enable `responses` API type for OpenAI integration. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/langchain/llm.py | 12 ++++++++++++ src/aiq/data_models/llm.py | 19 ++++++++++++++++++- 2 files changed, 30 insertions(+), 1 deletion(-) diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index c971173bc..52d837740 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -16,6 +16,7 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.data_models.llm import APITypeEnum from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig @@ -26,6 +27,10 @@ async def nim_langchain(llm_config: NIMModelConfig, builder: Builder): from langchain_nvidia_ai_endpoints import ChatNVIDIA + if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: + raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " + f"Received: {llm_config.api_type}") + yield ChatNVIDIA(**llm_config.model_dump(exclude={"type"}, by_alias=True)) @@ -40,6 +45,9 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): kwargs = {**default_kwargs, **llm_config.model_dump(exclude={"type"}, by_alias=True)} + if llm_config.api_type == APITypeEnum.RESPONSES: + kwargs["use_responses_api"] = True + yield ChatOpenAI(**kwargs) @@ -48,4 +56,8 @@ async def aws_bedrock_langchain(llm_config: AWSBedrockModelConfig, builder: Buil from langchain_aws import ChatBedrockConverse + if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: + raise ValueError("AWS Bedrock only supports chat completion API type. " + f"Received: {llm_config.api_type}") + yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type", "context_size"}, by_alias=True)) diff --git a/src/aiq/data_models/llm.py b/src/aiq/data_models/llm.py index c325dcfcf..9fbaed83c 100644 --- a/src/aiq/data_models/llm.py +++ b/src/aiq/data_models/llm.py @@ -14,13 +14,30 @@ # limitations under the License. import typing +from enum import Enum + +from pydantic import Field from .common import BaseModelRegistryTag from .common import TypedBaseModel +class APITypeEnum(str, Enum): + CHAT_COMPLETION = "chat_completion" + RESPONSES = "responses" + + class LLMBaseConfig(TypedBaseModel, BaseModelRegistryTag): - pass + """Base configuration for LLM providers.""" + + api_type: APITypeEnum = Field( + default=APITypeEnum.CHAT_COMPLETION, + description="The type of API to use for the LLM provider.", + json_schema_extra={ + "enum": [e.value for e in APITypeEnum], + "examples": [e.value for e in APITypeEnum], + }, + ) LLMBaseConfigT = typing.TypeVar("LLMBaseConfigT", bound=LLMBaseConfig) From 42e69375b88cf0eded8d4e14bd641fec7db265ab Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Sun, 6 Jul 2025 16:39:53 -0400 Subject: [PATCH 03/69] Add API type validation for NVIDIA, OpenAI, and AWS Bedrock This update introduces explicit checks for the `api_type` field in NVIDIA, OpenAI, and AWS Bedrock configurations. Unsupported API types now raise a `ValueError` with clear error messages, ensuring compatibility and preventing misconfigurations. Additionally, support for `OpenAIResponses` is added for OpenAI when the API type matches. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/llama_index/llm.py | 24 +++++++++++++++++-- 1 file changed, 22 insertions(+), 2 deletions(-) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index f046a4040..9e49c131e 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -16,6 +16,7 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.data_models.llm import APITypeEnum from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig @@ -26,6 +27,10 @@ async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): from llama_index.llms.nvidia import NVIDIA + if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: + raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " + f"Received: {llm_config.api_type}") + kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) if ("base_url" in kwargs and kwargs["base_url"] is None): @@ -40,15 +45,26 @@ async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): from llama_index.llms.openai import OpenAI + from llama_index.llms.openai import OpenAIResponses kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) if ("base_url" in kwargs and kwargs["base_url"] is None): del kwargs["base_url"] - llm = OpenAI(**kwargs) + if llm_config.api_type == APITypeEnum.CHAT_COMPLETION: - yield llm + llm = OpenAI(**kwargs) + yield llm + + elif llm_config.api_type == APITypeEnum.RESPONSES: + + llm = OpenAIResponses(**kwargs) + yield llm + + raise ValueError(f"Unsupported API type for OpenAI LLM: {llm_config.api_type}. " + "Supported types are: " + f"{APITypeEnum.CHAT_COMPLETION}, {APITypeEnum.RESPONSES}.") @register_llm_client(config_type=AWSBedrockModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) @@ -56,6 +72,10 @@ async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, builder: Bu from llama_index.llms.bedrock import Bedrock + if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: + raise ValueError("AWS Bedrock only supports chat completion API type. " + f"Received: {llm_config.api_type}") + kwargs = llm_config.model_dump(exclude={"type", "max_tokens"}, by_alias=True) llm = Bedrock(**kwargs) From 64b28477c5c7925831b4b1270400a2cc56ae5c38 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Sun, 6 Jul 2025 17:45:29 -0400 Subject: [PATCH 04/69] Add OpenAI MCP schema data model Introduce an OpenAIMCPSchemaTool class and MCPApprovalRequiredEnum to define the OpenAI MCP schema. This includes fields for tool configuration, server information, and approval requirements, leveraging Pydantic models for validation. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/data_models/openai_mcp.py | 45 +++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 src/aiq/data_models/openai_mcp.py diff --git a/src/aiq/data_models/openai_mcp.py b/src/aiq/data_models/openai_mcp.py new file mode 100644 index 000000000..d5e00f7b8 --- /dev/null +++ b/src/aiq/data_models/openai_mcp.py @@ -0,0 +1,45 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR m OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from enum import Enum + +from pydantic import BaseModel +from pydantic import ConfigDict +from pydantic import Field + + +class MCPApprovalRequiredEnum(str, Enum): + """ + Enum to specify if approval is required for tool usage in the OpenAI MCP schema. + """ + NEVER = "never" + ALWAYS = "always" + AUTO = "auto" + + +class OpenAIMCPSchemaTool(BaseModel): + """ + Represents a tool in the OpenAI MCP schema. + """ + type: str = "mcp" + server_label: str = Field(description="Label for the server where the tool is hosted.") + server_url: str = Field(description="URL of the server hosting the tool.") + allowed_tools: list[str] | None = Field(default=None, + description="List of allowed tool names that can be used by the agent.") + require_approval: MCPApprovalRequiredEnum = Field(default=MCPApprovalRequiredEnum.NEVER, + description="Specifies if approval is required for tool usage.") + headers: dict[str, str] | None = Field(description="Optional headers to include in requests to the tool server.") + + model_config = ConfigDict(use_enum_values=True) From e2a8012fb97b6b3100a67db715cfbfbd230f4f92 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 10:51:17 -0400 Subject: [PATCH 05/69] Add Responses API Agent with support for tool use and error handling Introduce a new `ResponsesAPIAgentWorkflowConfig` and `responses_api_agent_workflow` function for managing an LLM-based ReAct agent that integrates tool calls, including AIQ, MCP, and built-in tools. The agent supports flexible configurations, detailed logging, and error handling, enhancing the extensibility of tool interaction workflows. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/langchain/llm.py | 1 + src/aiq/agent/register.py | 1 + src/aiq/agent/responses_api_agent/__init__.py | 0 src/aiq/agent/responses_api_agent/register.py | 148 ++++++++++++++++++ 4 files changed, 150 insertions(+) create mode 100644 src/aiq/agent/responses_api_agent/__init__.py create mode 100644 src/aiq/agent/responses_api_agent/register.py diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index 52d837740..0d5445126 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -47,6 +47,7 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): if llm_config.api_type == APITypeEnum.RESPONSES: kwargs["use_responses_api"] = True + kwargs["use_previous_response_id"] = True yield ChatOpenAI(**kwargs) diff --git a/src/aiq/agent/register.py b/src/aiq/agent/register.py index 7d311df7b..53d51e251 100644 --- a/src/aiq/agent/register.py +++ b/src/aiq/agent/register.py @@ -20,4 +20,5 @@ from .react_agent import register as react_agent from .reasoning_agent import reasoning_agent from .rewoo_agent import register as rewoo_agent +from .responses_api_agent import register as responses_api_agent from .tool_calling_agent import register as tool_calling_agent diff --git a/src/aiq/agent/responses_api_agent/__init__.py b/src/aiq/agent/responses_api_agent/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py new file mode 100644 index 000000000..c7b29fc06 --- /dev/null +++ b/src/aiq/agent/responses_api_agent/register.py @@ -0,0 +1,148 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import typing + +from pydantic import Field + +from aiq.agent.base import AGENT_LOG_PREFIX +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.builder.function_info import FunctionInfo +from aiq.cli.register_workflow import register_function +from aiq.data_models.component_ref import FunctionRef +from aiq.data_models.component_ref import LLMRef +from aiq.data_models.function import FunctionBaseConfig +from aiq.data_models.openai_mcp import OpenAIMCPSchemaTool + +logger = logging.getLogger(__name__) + + +class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_agent"): + """ + Defines an AIQ Toolkit function that uses a ReAct Agent performs reasoning inbetween tool calls, and utilizes the + tool names and descriptions to select the optimal tool. + """ + + llm_name: LLMRef = Field(description="The LLM model to use with the react agent.") + verbose: bool = Field(default=False, description="Set the verbosity of the react agent's logging.") + aiq_tools: list[FunctionRef] = Field(default_factory=list, + description="The list of tools to provide to the react agent.") + mcp_tools: list[OpenAIMCPSchemaTool] = Field( + default_factory=list, + description="List of MCP tools to use with the agent. If empty, no MCP tools will be used." + ) + builtin_tools: list[dict[str, typing.Any]] = Field( + default_factory=list, + description="List of built-in tools to use with the agent. If empty, no built-in tools will be used." + ) + + max_iterations: int = Field(default=15, description="Number of tool calls before stoping the react agent.") + description: str = Field(default="ReAct Agent Workflow", description="The description of this functions use.") + parallel_tool_calls: bool = Field(default=False, + description="Specify whether to allow parallel tool calls in the agent.") + handle_tool_errors: bool = Field( + default=True, + description="Specify ability to handle tool calling errors. If False, tool errors will raise an exception." + ) + + +@register_function(config_type=ResponsesAPIAgentWorkflowConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) +async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, builder: Builder): + from langchain_core.messages.human import HumanMessage + from langchain_openai import ChatOpenAI + from langchain_core.runnables import Runnable + from langgraph.graph.graph import CompiledGraph + + from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraph + from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraphState + + + llm: ChatOpenAI = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + assert llm.use_responses_api, "Responses API Agent requires an LLM that supports the Responses API." + + # Get tools + tools = [] + aiq_tools = builder.get_tools(tool_names=config.aiq_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + tools.extend(aiq_tools) + # MCP tools are optional, if provided they will be used by the agent + tools.extend([mcp_tool.model_dump() for mcp_tool in config.mcp_tools]) + # Built-in tools are optional, if provided they will be used by the agent + tools.extend(config.builtin_tools) + + # Bind tools to LLM + if tools: + llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls= config.parallel_tool_calls, strict=True) + + if config.verbose: + logger.info(f"{AGENT_LOG_PREFIX} Using LLM: {llm.name} with tools: {[tool.name for tool in tools]}") + + agent = ToolCallAgentGraph( + llm = llm, + tools = aiq_tools, # MCP and built-in tools are already bound to the LLM and need not be handled by graph + detailed_logs=config.verbose, + handle_tool_errors=config.handle_tool_errors + ) + + graph: CompiledGraph = agent.build_graph() + + async def _response_fn(input_message: str) -> str: + try: + # initialize the starting state with the user query + input_message = HumanMessage(content=input_message) + state = ToolCallAgentGraphState(messages=[input_message]) + + # run the Tool Calling Agent Graph + state = await graph.ainvoke(state, config={'recursion_limit': (config.max_iterations + 1) * 2}) + # setting recursion_limit: 4 allows 1 tool call + # - allows the Tool Calling Agent to perform 1 cycle / call 1 single tool, + # - but stops the agent when it tries to call a tool a second time + + # get and return the output from the state + state = ToolCallAgentGraphState(**state) + output_message = state.messages[-1] # pylint: disable=E1136 + return output_message.content + except Exception as ex: + logger.exception("%s Tool Calling Agent failed with exception: %s", AGENT_LOG_PREFIX, + ex, exc_info=ex) + if config.verbose: + return str(ex) + return "I seem to be having a problem." + + try: + yield FunctionInfo.from_fn(_response_fn, description=config.description) + except GeneratorExit: + logger.exception("%s Workflow exited early!", AGENT_LOG_PREFIX, exc_info=True) + finally: + logger.debug("%s Cleaning up react_agent workflow.", AGENT_LOG_PREFIX) + + + + + + + + + + + + + + + + + + From 08bef3a607b5bcc66cc918ccf4f441a55b8f583b Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 11:02:43 -0400 Subject: [PATCH 06/69] Refactor LLM config handling and async graph initialization Updated config handling to exclude "api_type" in model dumps across multiple plugins for improved consistency. Adjusted agent graph building to use `await` for proper asynchronous operation. These changes ensure better API compatibility and alignment with async programming standards. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/langchain/llm.py | 10 ++++++---- .../src/aiq/plugins/llama_index/llm.py | 6 +++--- src/aiq/agent/responses_api_agent/register.py | 2 +- 3 files changed, 10 insertions(+), 8 deletions(-) diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index 0d5445126..098c8d464 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -31,7 +31,7 @@ async def nim_langchain(llm_config: NIMModelConfig, builder: Builder): raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " f"Received: {llm_config.api_type}") - yield ChatNVIDIA(**llm_config.model_dump(exclude={"type"}, by_alias=True)) + yield ChatNVIDIA(**llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True)) @register_llm_client(config_type=OpenAIModelConfig, wrapper_type=LLMFrameworkEnum.LANGCHAIN) @@ -43,13 +43,15 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): # will not include this. default_kwargs = {"stream_usage": True} - kwargs = {**default_kwargs, **llm_config.model_dump(exclude={"type"}, by_alias=True)} + kwargs = {**default_kwargs, **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True)} if llm_config.api_type == APITypeEnum.RESPONSES: kwargs["use_responses_api"] = True kwargs["use_previous_response_id"] = True - yield ChatOpenAI(**kwargs) + client = ChatOpenAI(**kwargs) + + yield client @register_llm_client(config_type=AWSBedrockModelConfig, wrapper_type=LLMFrameworkEnum.LANGCHAIN) @@ -61,4 +63,4 @@ async def aws_bedrock_langchain(llm_config: AWSBedrockModelConfig, builder: Buil raise ValueError("AWS Bedrock only supports chat completion API type. " f"Received: {llm_config.api_type}") - yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type", "context_size"}, by_alias=True)) + yield ChatBedrockConverse(**llm_config.model_dump(exclude={"type", "context_size", "api_type"}, by_alias=True)) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index 9e49c131e..ea77f34f4 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -31,7 +31,7 @@ async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " f"Received: {llm_config.api_type}") - kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) + kwargs = llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True) if ("base_url" in kwargs and kwargs["base_url"] is None): del kwargs["base_url"] @@ -47,7 +47,7 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): from llama_index.llms.openai import OpenAI from llama_index.llms.openai import OpenAIResponses - kwargs = llm_config.model_dump(exclude={"type"}, by_alias=True) + kwargs = llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True) if ("base_url" in kwargs and kwargs["base_url"] is None): del kwargs["base_url"] @@ -76,7 +76,7 @@ async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, builder: Bu raise ValueError("AWS Bedrock only supports chat completion API type. " f"Received: {llm_config.api_type}") - kwargs = llm_config.model_dump(exclude={"type", "max_tokens"}, by_alias=True) + kwargs = llm_config.model_dump(exclude={"type", "max_tokens", "api_type"}, by_alias=True) llm = Bedrock(**kwargs) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index c7b29fc06..30509ecc5 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -97,7 +97,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, handle_tool_errors=config.handle_tool_errors ) - graph: CompiledGraph = agent.build_graph() + graph: CompiledGraph = await agent.build_graph() async def _response_fn(input_message: str) -> str: try: From 1398b34d121143813455b97db80c511645ff09cd Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 11:07:54 -0400 Subject: [PATCH 07/69] Refine response content extraction logic in register.py Updated the logic to handle cases where the response content is a list of dictionaries, ensuring compatibility and preventing errors. This change improves robustness and avoids potential crashes when extracting text from output messages. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/register.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 30509ecc5..44045e742 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -114,7 +114,10 @@ async def _response_fn(input_message: str) -> str: # get and return the output from the state state = ToolCallAgentGraphState(**state) output_message = state.messages[-1] # pylint: disable=E1136 - return output_message.content + content = output_message.content[-1]['text'] if output_message.content and isinstance( + output_message.content[-1], dict) and 'text' in output_message.content[-1] else str( + output_message.content) + return content except Exception as ex: logger.exception("%s Tool Calling Agent failed with exception: %s", AGENT_LOG_PREFIX, ex, exc_info=ex) From ce998e0bc2f50446f9b955fa27f663883018d452 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 11:21:44 -0400 Subject: [PATCH 08/69] Add error handling and logging for tool schema extraction Added a try-except block to safely handle exceptions during tool schema extraction and log relevant errors. Also, adjusted logging for tool information to display objects directly instead of accessing their names. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/register.py | 2 +- src/aiq/profiler/callbacks/langchain_callback_handler.py | 6 +++++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 44045e742..8c6b91d84 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -88,7 +88,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls= config.parallel_tool_calls, strict=True) if config.verbose: - logger.info(f"{AGENT_LOG_PREFIX} Using LLM: {llm.name} with tools: {[tool.name for tool in tools]}") + logger.info(f"{AGENT_LOG_PREFIX} Using LLM: {llm.name} with tools: {tools}") agent = ToolCallAgentGraph( llm = llm, diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index 9ca0550ff..9fcafa751 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -48,7 +48,11 @@ def _extract_tools_schema(invocation_params: dict) -> list: tools_schema = [] if invocation_params is not None: for tool in invocation_params.get("tools", []): - tools_schema.append(ToolSchema(**tool)) + try: + tools_schema.append(ToolSchema(**tool)) + except Exception as e: + logger.info("Error extracting tool schema for tool %s. Skipping.", tool) + return tools_schema From 80986b37c832394c75d2a214d77328fb766a586f Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:17:08 -0400 Subject: [PATCH 09/69] Refactor tool usage and add default for MCP headers Updated MCP tools iteration for clarity by renaming variables in `register.py`. Added a default value for `headers` in `openai_mcp.py` to ensure consistent behavior when undefined. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/register.py | 2 +- src/aiq/data_models/openai_mcp.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 8c6b91d84..2bd9fe199 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -79,7 +79,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, aiq_tools = builder.get_tools(tool_names=config.aiq_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) tools.extend(aiq_tools) # MCP tools are optional, if provided they will be used by the agent - tools.extend([mcp_tool.model_dump() for mcp_tool in config.mcp_tools]) + tools.extend([m.model_dump() for m in config.mcp_tools]) # Built-in tools are optional, if provided they will be used by the agent tools.extend(config.builtin_tools) diff --git a/src/aiq/data_models/openai_mcp.py b/src/aiq/data_models/openai_mcp.py index d5e00f7b8..681a04d03 100644 --- a/src/aiq/data_models/openai_mcp.py +++ b/src/aiq/data_models/openai_mcp.py @@ -40,6 +40,7 @@ class OpenAIMCPSchemaTool(BaseModel): description="List of allowed tool names that can be used by the agent.") require_approval: MCPApprovalRequiredEnum = Field(default=MCPApprovalRequiredEnum.NEVER, description="Specifies if approval is required for tool usage.") - headers: dict[str, str] | None = Field(description="Optional headers to include in requests to the tool server.") + headers: dict[str, str] | None = Field(default=None, + description="Optional headers to include in requests to the tool server.") model_config = ConfigDict(use_enum_values=True) From 934124af8395f76d44c776abcb1622bb135a9b6c Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:18:20 -0400 Subject: [PATCH 10/69] Refactor logging and code style in agent modules Improved logging messages with additional context for errors and adjusted code style for consistency across multiple files. Also fixed import order and formatting for better readability and maintainability. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/register.py | 2 +- src/aiq/agent/responses_api_agent/register.py | 46 +++++-------------- .../callbacks/langchain_callback_handler.py | 3 +- 3 files changed, 13 insertions(+), 38 deletions(-) diff --git a/src/aiq/agent/register.py b/src/aiq/agent/register.py index 53d51e251..19f016e7f 100644 --- a/src/aiq/agent/register.py +++ b/src/aiq/agent/register.py @@ -19,6 +19,6 @@ # Import any workflows which need to be automatically registered here from .react_agent import register as react_agent from .reasoning_agent import reasoning_agent -from .rewoo_agent import register as rewoo_agent from .responses_api_agent import register as responses_api_agent +from .rewoo_agent import register as rewoo_agent from .tool_calling_agent import register as tool_calling_agent diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 2bd9fe199..21420850e 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -40,15 +40,13 @@ class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_ag llm_name: LLMRef = Field(description="The LLM model to use with the react agent.") verbose: bool = Field(default=False, description="Set the verbosity of the react agent's logging.") aiq_tools: list[FunctionRef] = Field(default_factory=list, - description="The list of tools to provide to the react agent.") + description="The list of tools to provide to the react agent.") mcp_tools: list[OpenAIMCPSchemaTool] = Field( default_factory=list, - description="List of MCP tools to use with the agent. If empty, no MCP tools will be used." - ) + description="List of MCP tools to use with the agent. If empty, no MCP tools will be used.") builtin_tools: list[dict[str, typing.Any]] = Field( default_factory=list, - description="List of built-in tools to use with the agent. If empty, no built-in tools will be used." - ) + description="List of built-in tools to use with the agent. If empty, no built-in tools will be used.") max_iterations: int = Field(default=15, description="Number of tool calls before stoping the react agent.") description: str = Field(default="ReAct Agent Workflow", description="The description of this functions use.") @@ -56,21 +54,19 @@ class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_ag description="Specify whether to allow parallel tool calls in the agent.") handle_tool_errors: bool = Field( default=True, - description="Specify ability to handle tool calling errors. If False, tool errors will raise an exception." - ) + description="Specify ability to handle tool calling errors. If False, tool errors will raise an exception.") @register_function(config_type=ResponsesAPIAgentWorkflowConfig, framework_wrappers=[LLMFrameworkEnum.LANGCHAIN]) async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, builder: Builder): from langchain_core.messages.human import HumanMessage - from langchain_openai import ChatOpenAI from langchain_core.runnables import Runnable + from langchain_openai import ChatOpenAI from langgraph.graph.graph import CompiledGraph from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraph from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraphState - llm: ChatOpenAI = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) assert llm.use_responses_api, "Responses API Agent requires an LLM that supports the Responses API." @@ -85,17 +81,16 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, # Bind tools to LLM if tools: - llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls= config.parallel_tool_calls, strict=True) + llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls=config.parallel_tool_calls, strict=True) if config.verbose: logger.info(f"{AGENT_LOG_PREFIX} Using LLM: {llm.name} with tools: {tools}") agent = ToolCallAgentGraph( - llm = llm, - tools = aiq_tools, # MCP and built-in tools are already bound to the LLM and need not be handled by graph + llm=llm, + tools=aiq_tools, # MCP and built-in tools are already bound to the LLM and need not be handled by graph detailed_logs=config.verbose, - handle_tool_errors=config.handle_tool_errors - ) + handle_tool_errors=config.handle_tool_errors) graph: CompiledGraph = await agent.build_graph() @@ -116,11 +111,10 @@ async def _response_fn(input_message: str) -> str: output_message = state.messages[-1] # pylint: disable=E1136 content = output_message.content[-1]['text'] if output_message.content and isinstance( output_message.content[-1], dict) and 'text' in output_message.content[-1] else str( - output_message.content) + output_message.content) return content except Exception as ex: - logger.exception("%s Tool Calling Agent failed with exception: %s", AGENT_LOG_PREFIX, - ex, exc_info=ex) + logger.exception("%s Tool Calling Agent failed with exception: %s", AGENT_LOG_PREFIX, ex, exc_info=ex) if config.verbose: return str(ex) return "I seem to be having a problem." @@ -131,21 +125,3 @@ async def _response_fn(input_message: str) -> str: logger.exception("%s Workflow exited early!", AGENT_LOG_PREFIX, exc_info=True) finally: logger.debug("%s Cleaning up react_agent workflow.", AGENT_LOG_PREFIX) - - - - - - - - - - - - - - - - - - diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index 9fcafa751..e65b64b0e 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -51,8 +51,7 @@ def _extract_tools_schema(invocation_params: dict) -> list: try: tools_schema.append(ToolSchema(**tool)) except Exception as e: - logger.info("Error extracting tool schema for tool %s. Skipping.", tool) - + logger.info("Error extracting tool schema for tool %s: %s. Skipping.", tool, e) return tools_schema From 9c7d2ce498ecb027f4d0264130b26a86e5bf8000 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:19:05 -0400 Subject: [PATCH 11/69] Add config file for response API in simple calculator example This commit introduces `config_responses_api.yml`, a configuration file defining tools, LLM settings, and workflow for a response API integration in the simple calculator example. It includes OpenAI's GPT-4.1 setup and tools like calculator operations and a code interpreter. This enhancement enables expanded functionality and better modularity. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../configs/config_responses_api.yml | 55 +++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml new file mode 100644 index 000000000..abe7bd825 --- /dev/null +++ b/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml @@ -0,0 +1,55 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +general: + use_uvloop: true + +functions: + calculator_multiply: + _type: calculator_multiply + calculator_inequality: + _type: calculator_inequality + calculator_divide: + _type: aiq_simple_calculator/calculator_divide + current_datetime: + _type: current_datetime + calculator_subtract: + _type: calculator_subtract + +llms: + openai_llm: + _type: openai + model_name: gpt-4.1 + max_tokens: 2000 + api_type: responses + +workflow: + _type: responses_api_agent + aiq_tools: + - calculator_multiply + - calculator_inequality + - current_datetime + - calculator_divide + - calculator_subtract + builtin_tools: + - type: code_interpreter + container: + type: auto + mcp_tools: + - server_label: deepwiki + server_url: "https://mcp.deepwiki.com/mcp" + + llm_name: openai_llm + verbose: true From a0109c2fd163800c089b096bde87a6d08de9d0bf Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:33:16 -0400 Subject: [PATCH 12/69] Add Apache 2.0 license header to `__init__.py` This change adds the required Apache 2.0 license header to the `__init__.py` file in the `responses_api_agent` module. It ensures compliance with licensing requirements and explicitly states the terms under which the code may be used. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/__init__.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/src/aiq/agent/responses_api_agent/__init__.py b/src/aiq/agent/responses_api_agent/__init__.py index e69de29bb..cf7c586a5 100644 --- a/src/aiq/agent/responses_api_agent/__init__.py +++ b/src/aiq/agent/responses_api_agent/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. From 2d801fb03ad05a15670cc348cd86cf6b51934905 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:47:46 -0400 Subject: [PATCH 13/69] Refine llm_config to exclude "api_type" across components Updated llm_config usage to exclude the "api_type" field in model_dump across multiple LLM-related components. This ensures consistent handling of configuration objects and prevents unintended data inclusion. Also, made a minor docstring adjustment in ResponsesAPIAgentWorkflowConfig for clarity. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py | 4 ++-- packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py | 4 ++-- .../src/aiq/plugins/semantic_kernel/llm.py | 2 +- src/aiq/agent/responses_api_agent/register.py | 3 ++- 4 files changed, 7 insertions(+), 6 deletions(-) diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index e446d2b42..f3d49277f 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -28,7 +28,7 @@ async def nim_agno(llm_config: NIMModelConfig, builder: Builder): from agno.models.nvidia import Nvidia config_obj = { - **llm_config.model_dump(exclude={"type", "model_name"}, by_alias=True), + **llm_config.model_dump(exclude={"type", "model_name", "api_type"}, by_alias=True), "id": f"{llm_config.model_name}", } @@ -58,7 +58,7 @@ async def openai_agno(llm_config: OpenAIModelConfig, builder: Builder): from agno.models.openai import OpenAIChat config_obj = { - **llm_config.model_dump(exclude={"type"}, by_alias=True), + **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), } yield OpenAIChat(**config_obj) diff --git a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py index e76b3ac01..22e9f70b5 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py @@ -28,7 +28,7 @@ async def nim_crewai(llm_config: NIMModelConfig, builder: Builder): from crewai import LLM config_obj = { - **llm_config.model_dump(exclude={"type"}, by_alias=True), + **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), "model": f"nvidia_nim/{llm_config.model_name}", } @@ -54,7 +54,7 @@ async def openai_crewai(llm_config: OpenAIModelConfig, builder: Builder): from crewai import LLM config_obj = { - **llm_config.model_dump(exclude={"type"}, by_alias=True), + **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), } yield LLM(**config_obj) diff --git a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index 868cf9016..5d3fe41d6 100644 --- a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -25,7 +25,7 @@ async def openai_semantic_kernel(llm_config: OpenAIModelConfig, builder: Builder from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion config_obj = { - **llm_config.model_dump(exclude={"type"}, by_alias=True), + **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), } llm = OpenAIChatCompletion(ai_model_id=config_obj.get("model")) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 21420850e..bf3e07133 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -33,7 +33,8 @@ class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_agent"): """ - Defines an AIQ Toolkit function that uses a ReAct Agent performs reasoning inbetween tool calls, and utilizes the + Defines an AIQ Toolkit function that uses a Responses API + Agent performs reasoning inbetween tool calls, and utilizes the tool names and descriptions to select the optimal tool. """ From 0151638a8b77e0e830812e3ba6a7348f826fb190 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 12:51:33 -0400 Subject: [PATCH 14/69] Refactor field handling and update model key formatting. Excluded "api_type" from metadata processing to improve clarity and relevance in documentation. Adjusted model and id key formatting in CrewAI and Agno LLM configurations for better readability. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py | 3 ++- packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py | 3 ++- src/aiq/utils/metadata_utils.py | 4 ++++ 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index f3d49277f..688d79d76 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -29,7 +29,8 @@ async def nim_agno(llm_config: NIMModelConfig, builder: Builder): config_obj = { **llm_config.model_dump(exclude={"type", "model_name", "api_type"}, by_alias=True), - "id": f"{llm_config.model_name}", + "id": + f"{llm_config.model_name}", } # Because Agno uses a different environment variable for the API key, we need to set it here manually diff --git a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py index 22e9f70b5..5ff4d7eb8 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py @@ -29,7 +29,8 @@ async def nim_crewai(llm_config: NIMModelConfig, builder: Builder): config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), - "model": f"nvidia_nim/{llm_config.model_name}", + "model": + f"nvidia_nim/{llm_config.model_name}", } # Because CrewAI uses a different environment variable for the API key, we need to set it here manually diff --git a/src/aiq/utils/metadata_utils.py b/src/aiq/utils/metadata_utils.py index 6cf5a544e..5710d30b5 100644 --- a/src/aiq/utils/metadata_utils.py +++ b/src/aiq/utils/metadata_utils.py @@ -44,6 +44,10 @@ def generate_config_type_docs(config_type: TypedBaseModelT) -> str: if (field_name == "type"): field_name = "_type" + if (field_name == "api_type"): + # Skip api_type field as it is not relevant for documentation + continue + decomponsed_type = DecomposedType(field_info.annotation) if not (decomponsed_type.is_union): From ece25e358f60b6a1747fd781e08df1b73d25a554 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 13:05:18 -0400 Subject: [PATCH 15/69] Improve handling of `api_type` in metadata documentation generation Remove skipping of the `api_type` field in metadata utilities to include it in documentation. Update tests to validate the new behavior, ensuring `api_type` is correctly handled for LLM configurations. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/utils/metadata_utils.py | 4 -- tests/aiq/utils/test_metadata_utils.py | 54 ++++++++++++++++++++++++-- 2 files changed, 51 insertions(+), 7 deletions(-) diff --git a/src/aiq/utils/metadata_utils.py b/src/aiq/utils/metadata_utils.py index 5710d30b5..6cf5a544e 100644 --- a/src/aiq/utils/metadata_utils.py +++ b/src/aiq/utils/metadata_utils.py @@ -44,10 +44,6 @@ def generate_config_type_docs(config_type: TypedBaseModelT) -> str: if (field_name == "type"): field_name = "_type" - if (field_name == "api_type"): - # Skip api_type field as it is not relevant for documentation - continue - decomponsed_type = DecomposedType(field_info.annotation) if not (decomponsed_type.is_union): diff --git a/tests/aiq/utils/test_metadata_utils.py b/tests/aiq/utils/test_metadata_utils.py index 01e932173..66e185c42 100644 --- a/tests/aiq/utils/test_metadata_utils.py +++ b/tests/aiq/utils/test_metadata_utils.py @@ -58,6 +58,19 @@ def test_generate_config_type_docs_no_docstring(base_configs: list[TypedBaseMode " field4 (str | dict[str, str]): description4.\n" " field5 (str | dict[str, int]): description5. Defaults to {'key5': 0}.") + expected_llm = ("Description unavailable.\n" + "\n" + " Args:\n" + " _type (str): The type of the object.\n" + " api_type (APITypeEnum): The type of API to use for the LLM provider. " + "Defaults to \"APITypeEnum.CHAT_COMPLETION\".\n" + " field0 (str): description0.\n" + " field1 (str): description1. Defaults to \"value1\".\n" + " field2 (str | None): description2.\n" + " field3 (str | None): description3. Defaults to None.\n" + " field4 (str | dict[str, str]): description4.\n" + " field5 (str | dict[str, int]): description5. Defaults to {'key5': 0}.") + for base_config in base_configs: class TestConfig(base_config, name="test"): # type: ignore @@ -68,7 +81,10 @@ class TestConfig(base_config, name="test"): # type: ignore field4: str | dict[str, str] = Field(description="description4") field5: str | dict[str, int] = Field(default={"key5": 0}, description="description5") - assert generate_config_type_docs(TestConfig) == expected + if base_config == LLMBaseConfig: + assert generate_config_type_docs(TestConfig) == expected_llm + else: + assert generate_config_type_docs(TestConfig) == expected def test_generate_config_type_docs_no_args(base_configs: list[TypedBaseModelT]): @@ -84,6 +100,19 @@ def test_generate_config_type_docs_no_args(base_configs: list[TypedBaseModelT]): " field4 (str | dict[str, str]): Description unavailable.\n" " field5 (str | dict[str, int]): Description unavailable. Defaults to {'key5': 0}.") + expected_llm = ("Notional Docstring.\n" + "\n" + " Args:\n" + " _type (str): The type of the object.\n" + " api_type (APITypeEnum): The type of API to use for the LLM provider. " + "Defaults to \"APITypeEnum.CHAT_COMPLETION\".\n" + " field0 (str): Description unavailable.\n" + " field1 (str): Description unavailable. Defaults to \"value1\".\n" + " field2 (str | None): Description unavailable.\n" + " field3 (str | None): Description unavailable. Defaults to None.\n" + " field4 (str | dict[str, str]): Description unavailable.\n" + " field5 (str | dict[str, int]): Description unavailable. Defaults to {'key5': 0}.") + for base_config in base_configs: class TestConfig(base_config, name="test"): # type: ignore @@ -96,7 +125,10 @@ class TestConfig(base_config, name="test"): # type: ignore field4: str | dict[str, str] field5: str | dict[str, int] = {"key5": 0} - assert generate_config_type_docs(TestConfig) == expected + if base_config == LLMBaseConfig: + assert generate_config_type_docs(TestConfig) == expected_llm + else: + assert generate_config_type_docs(TestConfig) == expected def test_generate_config_type_docs_no_docstring_and_no_args(base_configs: list[TypedBaseModelT]): @@ -112,6 +144,19 @@ def test_generate_config_type_docs_no_docstring_and_no_args(base_configs: list[T " field4 (str | dict[str, str]): Description unavailable.\n" " field5 (str | dict[str, int]): Description unavailable. Defaults to {'key5': 0}.") + expected_llm = ("Description unavailable.\n" + "\n" + " Args:\n" + " _type (str): The type of the object.\n" + " api_type (APITypeEnum): The type of API to use for the LLM provider. " + "Defaults to \"APITypeEnum.CHAT_COMPLETION\".\n" + " field0 (str): Description unavailable.\n" + " field1 (str): Description unavailable. Defaults to \"value1\".\n" + " field2 (str | None): Description unavailable.\n" + " field3 (str | None): Description unavailable. Defaults to None.\n" + " field4 (str | dict[str, str]): Description unavailable.\n" + " field5 (str | dict[str, int]): Description unavailable. Defaults to {'key5': 0}.") + for base_config in base_configs: class TestConfig(base_config, name="test"): # type: ignore @@ -123,4 +168,7 @@ class TestConfig(base_config, name="test"): # type: ignore field4: str | dict[str, str] field5: str | dict[str, int] = {"key5": 0} - assert generate_config_type_docs(TestConfig) == expected + if base_config == LLMBaseConfig: + assert generate_config_type_docs(TestConfig) == expected_llm + else: + assert generate_config_type_docs(TestConfig) == expected From b40edee93338b17519ca8580b4e4b79caa66742e Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 16:37:12 -0400 Subject: [PATCH 16/69] Add tool output schema and parsing for server-side tools Introduced `ServerToolUseSchema` to handle server-side tool output parsing. Updated callback handler to extract and store tool outputs from `message.additional_kwargs`. Minor exception handling adjustments were made for robustness in tool schema extraction and parsing processes. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../callbacks/langchain_callback_handler.py | 31 +++++++++++++++++-- 1 file changed, 28 insertions(+), 3 deletions(-) diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index e65b64b0e..a059b8f90 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -28,6 +28,8 @@ from langchain_core.messages import BaseMessage from langchain_core.outputs import ChatGeneration from langchain_core.outputs import LLMResult +from pydantic import BaseModel +from pydantic import ConfigDict from aiq.builder.context import AIQContext from aiq.builder.framework_enum import LLMFrameworkEnum @@ -42,6 +44,16 @@ logger = logging.getLogger(__name__) +warnings_logged_tools = set() + + +class ServerToolUseSchema(BaseModel): + name: str + arguments: str | dict[str, Any] | Any + output: Any + + model_config = ConfigDict(extra="ignore") + def _extract_tools_schema(invocation_params: dict) -> list: @@ -50,8 +62,8 @@ def _extract_tools_schema(invocation_params: dict) -> list: for tool in invocation_params.get("tools", []): try: tools_schema.append(ToolSchema(**tool)) - except Exception as e: - logger.info("Error extracting tool schema for tool %s: %s. Skipping.", tool, e) + except Exception: + pass return tools_schema @@ -216,6 +228,7 @@ async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: except IndexError: generation = None + message = None if isinstance(generation, ChatGeneration): try: message = generation.message @@ -228,6 +241,17 @@ async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: llm_text_output = generation.message.content if generation else "" + tool_outputs_list = [] + # Check if message.additional_kwargs as tool_outputs indicative of server side tool calling + if message and message.additional_kwargs and "tool_outputs" in message.additional_kwargs: + tools_outputs = message.additional_kwargs["tool_outputs"] + if isinstance(tools_outputs, list): + for tool in tools_outputs: + try: + tool_outputs_list.append(ServerToolUseSchema(**tool)) + except Exception: + pass + # update shared state behind lock with self._lock: usage_stat = IntermediateStepPayload( @@ -239,7 +263,8 @@ async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: data=StreamEventData(input=self._run_id_to_llm_input.get(str(kwargs.get("run_id", "")), ""), output=llm_text_output), usage_info=UsageInfo(token_usage=self._extract_token_base_model(usage_metadata)), - metadata=TraceMetadata(chat_responses=[generation] if generation else [])) + metadata=TraceMetadata(chat_responses=[generation] if generation else [], + tool_outputs=tool_outputs_list if tool_outputs_list else None)) self.step_manager.push_intermediate_step(usage_stat) From 48bc4c1149883fedf7b7e05c7349e23fd1d18a48 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 17:08:54 -0400 Subject: [PATCH 17/69] Add logging and handle unsupported streaming in Responses API Introduce a logger to the LLM module for better debugging and observability. Added a warning log and enforced `stream=False` when using the OpenAI Responses API, as streaming is not supported in this mode. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index 098c8d464..a357b830d 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -13,6 +13,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +import logging + from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client @@ -21,6 +23,8 @@ from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +logger = logging.getLogger(__name__) + @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.LANGCHAIN) async def nim_langchain(llm_config: NIMModelConfig, builder: Builder): @@ -48,6 +52,10 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): if llm_config.api_type == APITypeEnum.RESPONSES: kwargs["use_responses_api"] = True kwargs["use_previous_response_id"] = True + if "stream" in kwargs and kwargs["stream"]: + kwargs["stream"] = False + logger.warning("Streaming is not supported with the OpenAI Responses API. " + "Setting stream to False.") client = ChatOpenAI(**kwargs) From af0a3ffbf3d547dfd6b9b08ec430b8b625303c9b Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 17:17:58 -0400 Subject: [PATCH 18/69] Add logging to Llama Index and warn about callback limitations Introduced a logger to the Llama Index LLM module to improve traceability. Added a warning for OpenAIResponses API users about the lack of support for AIQ callback handlers and the absence of intermediate step logging. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/llama_index/llm.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index ea77f34f4..d28b9751b 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -13,6 +13,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +import logging + from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client @@ -21,6 +23,8 @@ from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +logger = logging.getLogger(__name__) + @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): @@ -58,6 +62,8 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): yield llm elif llm_config.api_type == APITypeEnum.RESPONSES: + logger.warning("LLama Index OpenAIResponses class does not support aiq callback handlers. " + "Intermediate steps will not be logged. ") llm = OpenAIResponses(**kwargs) yield llm From 1ceeacdc39199f3f54cedf03d3c9977f412d2609 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 17:46:59 -0400 Subject: [PATCH 19/69] Add support for server-side tool usage tracking Introduced a `ServerToolUseSchema` model for handling tool usage data from server-side tool calls. Updated the `LlamaIndexProfilerHandler` to process and log `built_in_tool_calls` from response metadata. Simplified logging and removed unnecessary warnings in the LLM plugin code. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/llama_index/llm.py | 12 +++------- .../callbacks/llama_index_callback_handler.py | 23 ++++++++++++++++++- 2 files changed, 25 insertions(+), 10 deletions(-) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index d28b9751b..fbc506d2c 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -13,8 +13,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -import logging - from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client @@ -23,9 +21,6 @@ from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig -logger = logging.getLogger(__name__) - - @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): @@ -62,13 +57,12 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): yield llm elif llm_config.api_type == APITypeEnum.RESPONSES: - logger.warning("LLama Index OpenAIResponses class does not support aiq callback handlers. " - "Intermediate steps will not be logged. ") - llm = OpenAIResponses(**kwargs) + llm = OpenAIResponses(**kwargs)#, callback_manager=callback_manager) yield llm - raise ValueError(f"Unsupported API type for OpenAI LLM: {llm_config.api_type}. " + else: + raise ValueError(f"Unsupported API type for OpenAI LLM: {llm_config.api_type}. " "Supported types are: " f"{APITypeEnum.CHAT_COMPLETION}, {APITypeEnum.RESPONSES}.") diff --git a/src/aiq/profiler/callbacks/llama_index_callback_handler.py b/src/aiq/profiler/callbacks/llama_index_callback_handler.py index 35ccf331d..f77befbb3 100644 --- a/src/aiq/profiler/callbacks/llama_index_callback_handler.py +++ b/src/aiq/profiler/callbacks/llama_index_callback_handler.py @@ -25,6 +25,8 @@ from llama_index.core.callbacks import EventPayload from llama_index.core.callbacks.base_handler import BaseCallbackHandler from llama_index.core.llms import ChatResponse +from pydantic import BaseModel +from pydantic import ConfigDict from aiq.builder.context import AIQContext from aiq.builder.framework_enum import LLMFrameworkEnum @@ -38,6 +40,13 @@ logger = logging.getLogger(__name__) +class ServerToolUseSchema(BaseModel): + name: str + arguments: str | dict[str, Any] | Any + output: Any + + model_config = ConfigDict(extra="ignore") + class LlamaIndexProfilerHandler(BaseCallbackHandler, BaseProfilerCallback): """ @@ -167,6 +176,17 @@ def on_event_end( except Exception as e: logger.exception("Error getting model name: %s", e, exc_info=True) + tool_outputs_list = [] + # Check if message.additional_kwargs as tool_outputs indicative of server side tool calling + if response and response.additional_kwargs and "built_in_tool_calls" in response.additional_kwargs: + tools_outputs = response.additional_kwargs["built_in_tool_calls"] + if isinstance(tools_outputs, list): + for tool in tools_outputs: + try: + tool_outputs_list.append(ServerToolUseSchema(**tool.model_dump())) + except Exception as e: + pass + # Append usage data to AIQ Toolkit usage stats with self._lock: stats = IntermediateStepPayload( @@ -176,7 +196,8 @@ def on_event_end( name=model_name, UUID=event_id, data=StreamEventData(input=self._run_id_to_llm_input.get(event_id), output=llm_text_output), - metadata=TraceMetadata(chat_responses=response.message if response.message else None), + metadata=TraceMetadata(chat_responses=response.message if response.message else None, + tool_outputs=tool_outputs_list if tool_outputs_list else None), usage_info=UsageInfo(token_usage=TokenUsageBaseModel(**response.additional_kwargs))) self.step_manager.push_intermediate_step(stats) From c2044226ea12ea16d15ba759911c3da1e986388a Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 18:00:22 -0400 Subject: [PATCH 20/69] Refactor `ServerToolUseSchema` to centralize its definition. Moved the `ServerToolUseSchema` class to `intermediate_step.py` for reusability across modules. Adjusted imports and removed redundant definitions in `langchain_callback_handler.py` and `llama_index_callback_handler.py`. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/llama_index/llm.py | 7 ++++--- src/aiq/data_models/intermediate_step.py | 8 ++++++++ .../callbacks/langchain_callback_handler.py | 13 +------------ .../callbacks/llama_index_callback_handler.py | 12 ++---------- 4 files changed, 15 insertions(+), 25 deletions(-) diff --git a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py index fbc506d2c..2c0db5038 100644 --- a/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/aiqtoolkit_llama_index/src/aiq/plugins/llama_index/llm.py @@ -21,6 +21,7 @@ from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig + @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) async def nim_llama_index(llm_config: NIMModelConfig, builder: Builder): @@ -58,13 +59,13 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, builder: Builder): elif llm_config.api_type == APITypeEnum.RESPONSES: - llm = OpenAIResponses(**kwargs)#, callback_manager=callback_manager) + llm = OpenAIResponses(**kwargs) yield llm else: raise ValueError(f"Unsupported API type for OpenAI LLM: {llm_config.api_type}. " - "Supported types are: " - f"{APITypeEnum.CHAT_COMPLETION}, {APITypeEnum.RESPONSES}.") + "Supported types are: " + f"{APITypeEnum.CHAT_COMPLETION}, {APITypeEnum.RESPONSES}.") @register_llm_client(config_type=AWSBedrockModelConfig, wrapper_type=LLMFrameworkEnum.LLAMA_INDEX) diff --git a/src/aiq/data_models/intermediate_step.py b/src/aiq/data_models/intermediate_step.py index 346644958..4a78275a2 100644 --- a/src/aiq/data_models/intermediate_step.py +++ b/src/aiq/data_models/intermediate_step.py @@ -103,6 +103,14 @@ class ToolSchema(BaseModel): function: ToolDetails = Field(..., description="The function details.") +class ServerToolUseSchema(BaseModel): + name: str + arguments: str | dict[str, typing.Any] | typing.Any + output: typing.Any + + model_config = ConfigDict(extra="ignore") + + class TraceMetadata(BaseModel): chat_responses: typing.Any | None = None chat_inputs: typing.Any | None = None diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index a059b8f90..12d0fab11 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -28,13 +28,12 @@ from langchain_core.messages import BaseMessage from langchain_core.outputs import ChatGeneration from langchain_core.outputs import LLMResult -from pydantic import BaseModel -from pydantic import ConfigDict from aiq.builder.context import AIQContext from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.data_models.intermediate_step import IntermediateStepPayload from aiq.data_models.intermediate_step import IntermediateStepType +from aiq.data_models.intermediate_step import ServerToolUseSchema from aiq.data_models.intermediate_step import StreamEventData from aiq.data_models.intermediate_step import ToolSchema from aiq.data_models.intermediate_step import TraceMetadata @@ -44,16 +43,6 @@ logger = logging.getLogger(__name__) -warnings_logged_tools = set() - - -class ServerToolUseSchema(BaseModel): - name: str - arguments: str | dict[str, Any] | Any - output: Any - - model_config = ConfigDict(extra="ignore") - def _extract_tools_schema(invocation_params: dict) -> list: diff --git a/src/aiq/profiler/callbacks/llama_index_callback_handler.py b/src/aiq/profiler/callbacks/llama_index_callback_handler.py index f77befbb3..a0d7a484f 100644 --- a/src/aiq/profiler/callbacks/llama_index_callback_handler.py +++ b/src/aiq/profiler/callbacks/llama_index_callback_handler.py @@ -25,13 +25,12 @@ from llama_index.core.callbacks import EventPayload from llama_index.core.callbacks.base_handler import BaseCallbackHandler from llama_index.core.llms import ChatResponse -from pydantic import BaseModel -from pydantic import ConfigDict from aiq.builder.context import AIQContext from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.data_models.intermediate_step import IntermediateStepPayload from aiq.data_models.intermediate_step import IntermediateStepType +from aiq.data_models.intermediate_step import ServerToolUseSchema from aiq.data_models.intermediate_step import StreamEventData from aiq.data_models.intermediate_step import TraceMetadata from aiq.data_models.intermediate_step import UsageInfo @@ -40,13 +39,6 @@ logger = logging.getLogger(__name__) -class ServerToolUseSchema(BaseModel): - name: str - arguments: str | dict[str, Any] | Any - output: Any - - model_config = ConfigDict(extra="ignore") - class LlamaIndexProfilerHandler(BaseCallbackHandler, BaseProfilerCallback): """ @@ -184,7 +176,7 @@ def on_event_end( for tool in tools_outputs: try: tool_outputs_list.append(ServerToolUseSchema(**tool.model_dump())) - except Exception as e: + except Exception: pass # Append usage data to AIQ Toolkit usage stats From 11f5b75a66ce2e1c27d528dbb24fd3f605ed9b77 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 7 Jul 2025 19:30:00 -0400 Subject: [PATCH 21/69] Add validation to disallow Responses API in LLM configs Introduced `_validate_no_responses_api` to ensure LLM configurations do not use the unsupported Responses API for Semantic Kernel, CrewAI, and Agno connectors. Updated specific workflow registrations to integrate this validation logic, improving robustness and preventing misconfigurations. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/agno/llm.py | 33 ++++++++++++++++--- .../src/aiq/plugins/crewai/llm.py | 12 +++++++ .../src/aiq/plugins/semantic_kernel/llm.py | 11 +++++++ 3 files changed, 52 insertions(+), 4 deletions(-) diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index 688d79d76..930051456 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -18,15 +18,25 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +def _validate_no_responses_api(llm_config): + """Validate that the LLM config does not use the Responses API.""" + + if llm_config.api_type == APITypeEnum.RESPONSES: + raise ValueError("Responses API is not supported with Agno. Please use a different API type.") + + @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.AGNO) async def nim_agno(llm_config: NIMModelConfig, builder: Builder): from agno.models.nvidia import Nvidia + _validate_no_responses_api(llm_config) + config_obj = { **llm_config.model_dump(exclude={"type", "model_name", "api_type"}, by_alias=True), "id": @@ -57,9 +67,24 @@ async def nim_agno(llm_config: NIMModelConfig, builder: Builder): async def openai_agno(llm_config: OpenAIModelConfig, builder: Builder): from agno.models.openai import OpenAIChat + from agno.models.openai import OpenAIResponses - config_obj = { - **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), - } + if llm_config.api_type == APITypeEnum.RESPONSES: + config_obj = { + **llm_config.model_dump(exclude={"type", "model_name", "api_type", "seed", "max_tokens", "stream"}, + by_alias=True), + "id": + f"{llm_config.model_name}", + "max_output_tokens": + llm_config.max_tokens, + } + + yield OpenAIResponses(**config_obj) + else: + config_obj = { + **llm_config.model_dump(exclude={"type", "model_name", "api_type", "stream"}, by_alias=True), + "id": + f"{llm_config.model_name}", + } - yield OpenAIChat(**config_obj) + yield OpenAIChat(**config_obj) diff --git a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py index 5ff4d7eb8..ec24419b3 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py @@ -18,15 +18,25 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +def _validate_no_responses_api(llm_config): + """Validate that the LLM config does not use the Responses API.""" + + if llm_config.api_type == APITypeEnum.RESPONSES: + raise ValueError("Responses API is not supported with CrewAI. Please use a different API type.") + + @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.CREWAI) async def nim_crewai(llm_config: NIMModelConfig, builder: Builder): from crewai import LLM + _validate_no_responses_api(llm_config) + config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), "model": @@ -54,6 +64,8 @@ async def openai_crewai(llm_config: OpenAIModelConfig, builder: Builder): from crewai import LLM + _validate_no_responses_api(llm_config) + config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), } diff --git a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index 5d3fe41d6..39ce788b1 100644 --- a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -16,14 +16,25 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client +from aiq.data_models.llm import APITypeEnum from aiq.llm.openai_llm import OpenAIModelConfig +def _validate_no_responses_api(llm_config): + """Validate that the LLM config does not use the Responses API.""" + + if llm_config.api_type == APITypeEnum.RESPONSES: + raise ValueError("Responses API is not supported with Semantic Kernel as a Connector. " + "Use semantic_kernel.agents.OpenAIResponsesAgent instead.") + + @register_llm_client(config_type=OpenAIModelConfig, wrapper_type=LLMFrameworkEnum.SEMANTIC_KERNEL) async def openai_semantic_kernel(llm_config: OpenAIModelConfig, builder: Builder): from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion + _validate_no_responses_api(llm_config) + config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), } From 2348b8c43bef4f692bee27f30d6a07922175a241 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:01:06 -0400 Subject: [PATCH 22/69] Add test cases for LLM client wrappers across frameworks This update introduces comprehensive unit tests for multiple frameworks, including LLaMA-Index, CrewAI, LangChain, Semantic Kernel, and Agno. Key additions include validation for API types, parameter passthroughs, and decorator registrations, ensuring correctness and reliability of wrapper implementations. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/agno/llm.py | 2 +- packages/aiqtoolkit_agno/tests/test_llm.py | 42 +++- packages/aiqtoolkit_crewai/tests/test_llm.py | 147 ++++++++++++++ .../aiqtoolkit_langchain/tests/test_llm.py | 183 ++++++++++++++++++ .../aiqtoolkit_llama_index/tests/test_llm.py | 164 ++++++++++++++++ .../tests/test_llm.py | 81 ++++++++ 6 files changed, 616 insertions(+), 3 deletions(-) create mode 100644 packages/aiqtoolkit_crewai/tests/test_llm.py create mode 100644 packages/aiqtoolkit_langchain/tests/test_llm.py create mode 100644 packages/aiqtoolkit_llama_index/tests/test_llm.py create mode 100644 packages/aiqtoolkit_semantic_kernel/tests/test_llm.py diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index 930051456..af733736a 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -76,7 +76,7 @@ async def openai_agno(llm_config: OpenAIModelConfig, builder: Builder): "id": f"{llm_config.model_name}", "max_output_tokens": - llm_config.max_tokens, + llm_config.max_tokens if hasattr(llm_config, "max_tokens") else None, } yield OpenAIResponses(**config_obj) diff --git a/packages/aiqtoolkit_agno/tests/test_llm.py b/packages/aiqtoolkit_agno/tests/test_llm.py index afb066dda..3f00c85a0 100644 --- a/packages/aiqtoolkit_agno/tests/test_llm.py +++ b/packages/aiqtoolkit_agno/tests/test_llm.py @@ -21,6 +21,7 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig # Import the module under test with the correct import path @@ -41,6 +42,11 @@ def nim_config(self): """Create a NIMModelConfig instance.""" return NIMModelConfig(model_name="test-model") + @pytest.fixture + def nim_config_responses(self): + """Create a NIMModelConfig instance.""" + return NIMModelConfig(model_name="test-model", api_type=APITypeEnum.RESPONSES) + @patch("agno.models.nvidia.Nvidia") async def test_nim_agno_basic(self, mock_nvidia, nim_config, mock_builder): """Test that nim_agno creates a Nvidia instance with the correct parameters.""" @@ -52,6 +58,18 @@ async def test_nim_agno_basic(self, mock_nvidia, nim_config, mock_builder): # Verify that the returned object is the mock Nvidia instance assert nvidia_instance == mock_nvidia.return_value + @patch("agno.models.nvidia.Nvidia") + async def test_nim_agno_responses(self, mock_nvidia, nim_config_responses, mock_builder): + """Test that nim_agno raises ValueError for NIMModelConfig with Responses API.""" + # Use the context manager properly + with pytest.raises(ValueError, + match="Responses API is not supported with Agno. Please use a different API type."): + async with nim_agno(nim_config_responses, mock_builder): + pass + + # Verify that Nvidia was not created + mock_nvidia.assert_not_called() + @patch("agno.models.nvidia.Nvidia") async def test_nim_agno_with_base_url(self, mock_nvidia, nim_config, mock_builder): """Test that nim_agno creates a Nvidia instance with base_url when provided.""" @@ -112,7 +130,12 @@ def mock_builder(self): @pytest.fixture def openai_config(self): """Create an OpenAIModelConfig instance.""" - return OpenAIModelConfig(model="gpt-4") + return OpenAIModelConfig(model_name="gpt-4") + + @pytest.fixture + def openai_responses_config(self): + """Create an OpenAIModelConfig instance for responses.""" + return OpenAIModelConfig(model_name="gpt-4", api_type=APITypeEnum.RESPONSES) @patch("agno.models.openai.OpenAIChat") async def test_openai_agno(self, mock_openai_chat, openai_config, mock_builder): @@ -124,11 +147,26 @@ async def test_openai_agno(self, mock_openai_chat, openai_config, mock_builder): call_kwargs = mock_openai_chat.call_args[1] # Check that model is set correctly - assert call_kwargs["model"] == "gpt-4" + assert call_kwargs["id"] == "gpt-4" # Verify that the returned object is the mock OpenAIChat instance assert openai_instance == mock_openai_chat.return_value + @patch("agno.models.openai.OpenAIResponses") + async def test_openai_agno_responses(self, mock_openai_responses, openai_responses_config, mock_builder): + """Test that openai_agno creates an OpenAIResponses instance with the correct parameters.""" + # Use the context manager properly + async with openai_agno(openai_responses_config, mock_builder) as openai_instance: + # Verify that OpenAIResponses was created with the correct parameters + mock_openai_responses.assert_called_once() + call_kwargs = mock_openai_responses.call_args[1] + + # Check that model is set correctly + assert call_kwargs["id"] == "gpt-4" + + # Verify that the returned object is the mock OpenAIResponses instance + assert openai_instance == mock_openai_responses.return_value + @patch("agno.models.openai.OpenAIChat") async def test_openai_agno_with_additional_params(self, mock_openai_chat, openai_config, mock_builder): """Test that openai_agno passes additional params to OpenAIChat.""" diff --git a/packages/aiqtoolkit_crewai/tests/test_llm.py b/packages/aiqtoolkit_crewai/tests/test_llm.py new file mode 100644 index 000000000..b126381d1 --- /dev/null +++ b/packages/aiqtoolkit_crewai/tests/test_llm.py @@ -0,0 +1,147 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Unit tests for CrewAI LLM client wrappers.""" + +import os +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.crewai.llm import nim_crewai +from aiq.plugins.crewai.llm import openai_crewai + +# --------------------------------------------------------------------------- +# NIM → CrewAI wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimCrewAI: + """Tests for the nim_crewai wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + return NIMModelConfig(model_name="test-nim") + + @pytest.fixture + def nim_cfg_responses(self): + return NIMModelConfig(model_name="test-nim", api_type=APITypeEnum.RESPONSES) + + @patch("crewai.LLM") + async def test_basic_creation(self, mock_llm, nim_cfg, mock_builder): + """Wrapper should yield a crewai.LLM configured for the NIM model.""" + async with nim_crewai(nim_cfg, mock_builder) as llm_obj: + mock_llm.assert_called_once() + kwargs = mock_llm.call_args.kwargs + assert kwargs["model"] == "nvidia_nim/test-nim" + assert llm_obj is mock_llm.return_value + + @patch("crewai.LLM") + async def test_responses_api_blocked(self, mock_llm, nim_cfg_responses, mock_builder): + """Selecting the Responses API must raise a ValueError.""" + with pytest.raises(ValueError, match="Responses API is not supported with CrewAI"): + async with nim_crewai(nim_cfg_responses, mock_builder): + pass + mock_llm.assert_not_called() + + @patch("crewai.LLM") + @patch.dict(os.environ, {"NVIDIA_API_KEY": "legacy-key"}, clear=True) + async def test_env_key_transfer(self, mock_llm, nim_cfg, mock_builder): + """ + If NVIDIA_NIM_API_KEY is not set but NVIDIA_API_KEY is, + the wrapper should copy it for LiteLLM compatibility. + """ + assert "NVIDIA_NIM_API_KEY" not in os.environ + async with nim_crewai(nim_cfg, mock_builder): + pass + assert os.environ["NVIDIA_NIM_API_KEY"] == "legacy-key" + mock_llm.assert_called_once() + + +# --------------------------------------------------------------------------- +# OpenAI → CrewAI wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAICrewAI: + """Tests for the openai_crewai wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def openai_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o") + + @pytest.fixture + def openai_cfg_responses(self): + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES) + + @patch("crewai.LLM") + async def test_basic_creation(self, mock_llm, openai_cfg, mock_builder): + """Wrapper should yield a crewai.LLM for OpenAI models.""" + async with openai_crewai(openai_cfg, mock_builder) as llm_obj: + mock_llm.assert_called_once() + assert mock_llm.call_args.kwargs["model"] == "gpt-4o" + assert llm_obj is mock_llm.return_value + + @patch("crewai.LLM") + async def test_param_passthrough(self, mock_llm, openai_cfg, mock_builder): + """Arbitrary config kwargs must reach crewai.LLM unchanged.""" + openai_cfg.temperature = 0.3 + openai_cfg.api_key = "sk-abc123" + async with openai_crewai(openai_cfg, mock_builder): + pass + kwargs = mock_llm.call_args.kwargs + assert kwargs["temperature"] == 0.3 + assert kwargs["api_key"] == "sk-abc123" + + @patch("crewai.LLM") + async def test_responses_api_blocked(self, mock_llm, openai_cfg_responses, mock_builder): + with pytest.raises(ValueError, match="Responses API is not supported with CrewAI"): + async with openai_crewai(openai_cfg_responses, mock_builder): + pass + mock_llm.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Verify that register_llm_client decorators registered the CrewAI wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + # Pretend the decorators already executed. + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.CREWAI): nim_crewai, + (OpenAIModelConfig, LLMFrameworkEnum.CREWAI): openai_crewai, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.CREWAI)] is nim_crewai + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.CREWAI)] is openai_crewai diff --git a/packages/aiqtoolkit_langchain/tests/test_llm.py b/packages/aiqtoolkit_langchain/tests/test_llm.py new file mode 100644 index 000000000..c20f3d9f1 --- /dev/null +++ b/packages/aiqtoolkit_langchain/tests/test_llm.py @@ -0,0 +1,183 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.langchain.llm import aws_bedrock_langchain +from aiq.plugins.langchain.llm import nim_langchain +from aiq.plugins.langchain.llm import openai_langchain + +# --------------------------------------------------------------------------- +# NIM → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimLangChain: + """Tests for the nim_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + # Default API type is CHAT_COMPLETION + return NIMModelConfig(model_name="nemotron-3b-chat") + + @pytest.fixture + def nim_cfg_wrong_api(self): + # Purposely create a config that violates the API-type requirement + return NIMModelConfig(model_name="nemotron-3b-chat", api_type=APITypeEnum.RESPONSES) + + @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") + async def test_basic_creation(self, mock_chat, nim_cfg, mock_builder): + """Wrapper should yield a ChatNVIDIA client with the dumped kwargs.""" + async with nim_langchain(nim_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + print(kwargs) + assert kwargs["model"] == "nemotron-3b-chat" + assert client is mock_chat.return_value + + @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") + async def test_api_type_validation(self, mock_chat, nim_cfg_wrong_api, mock_builder): + """Non-chat-completion API types must raise a ValueError.""" + with pytest.raises(ValueError, match="only supports chat completion"): + async with nim_langchain(nim_cfg_wrong_api, mock_builder): + pass + mock_chat.assert_not_called() + + +# --------------------------------------------------------------------------- +# OpenAI → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAILangChain: + """Tests for the openai_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o-mini") + + @pytest.fixture + def oa_cfg_responses(self): + # Explicitly set RESPONSES API and stream=True to test the branch logic. + return OpenAIModelConfig( + model_name="gpt-4o-mini", + api_type=APITypeEnum.RESPONSES, + stream=True, + temperature=0.2, + ) + + @patch("langchain_openai.ChatOpenAI") + async def test_basic_creation(self, mock_chat, oa_cfg, mock_builder): + """Default kwargs (stream_usage=True) and config kwargs must reach ChatOpenAI.""" + async with openai_langchain(oa_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + assert kwargs["model"] == "gpt-4o-mini" + # default injected by wrapper: + assert kwargs["stream_usage"] is True + assert client is mock_chat.return_value + + @patch("langchain_openai.ChatOpenAI") + async def test_responses_branch(self, mock_chat, oa_cfg_responses, mock_builder): + """When APIType==RESPONSES, special flags are added and stream is forced False.""" + # Silence the warning that the wrapper logs when it toggles stream. + with patch.object(logging.getLogger("aiq.plugins.langchain.llm"), "warning"): + async with openai_langchain(oa_cfg_responses, mock_builder): + pass + + kwargs = mock_chat.call_args.kwargs + assert kwargs["use_responses_api"] is True + assert kwargs["use_previous_response_id"] is True + # The wrapper should have flipped stream to False + assert kwargs.get("stream") is False + # Other original kwargs remain unchanged + assert kwargs["temperature"] == 0.2 + assert kwargs["stream_usage"] is True + + +# --------------------------------------------------------------------------- +# AWS Bedrock → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestBedrockLangChain: + """Tests for the aws_bedrock_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def bedrock_cfg(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra") + + @pytest.fixture + def bedrock_cfg_wrong_api(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) + + @patch("langchain_aws.ChatBedrockConverse") + async def test_basic_creation(self, mock_chat, bedrock_cfg, mock_builder): + async with aws_bedrock_langchain(bedrock_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + assert kwargs["model"] == "ai21.j2-ultra" + assert client is mock_chat.return_value + + @patch("langchain_aws.ChatBedrockConverse") + async def test_api_type_validation(self, mock_chat, bedrock_cfg_wrong_api, mock_builder): + with pytest.raises(ValueError, match="only supports chat completion"): + async with aws_bedrock_langchain(bedrock_cfg_wrong_api, mock_builder): + pass + mock_chat.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Ensure register_llm_client decorators registered the LangChain wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.LANGCHAIN): nim_langchain, + (OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN): openai_langchain, + (AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN): aws_bedrock_langchain, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LANGCHAIN)] is nim_langchain + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN)] is openai_langchain + assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN)] is aws_bedrock_langchain diff --git a/packages/aiqtoolkit_llama_index/tests/test_llm.py b/packages/aiqtoolkit_llama_index/tests/test_llm.py new file mode 100644 index 000000000..10f9d1f6a --- /dev/null +++ b/packages/aiqtoolkit_llama_index/tests/test_llm.py @@ -0,0 +1,164 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.llama_index.llm import aws_bedrock_llama_index +from aiq.plugins.llama_index.llm import nim_llama_index +from aiq.plugins.llama_index.llm import openai_llama_index + +# --------------------------------------------------------------------------- +# NIM → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimLlamaIndex: + """Tests for nim_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + return NIMModelConfig(model_name="nemotron-3b") + + @pytest.fixture + def nim_cfg_bad_api(self): + return NIMModelConfig(model_name="nemotron-3b", api_type=APITypeEnum.RESPONSES) + + @patch("llama_index.llms.nvidia.NVIDIA") + async def test_basic_creation(self, mock_nv, nim_cfg, mock_builder): + """Wrapper should instantiate llama_index.llms.nvidia.NVIDIA.""" + async with nim_llama_index(nim_cfg, mock_builder) as llm: + mock_nv.assert_called_once() + kwargs = mock_nv.call_args.kwargs + assert kwargs["model"] == "nemotron-3b" + assert llm is mock_nv.return_value + + @patch("llama_index.llms.nvidia.NVIDIA") + async def test_api_type_validation(self, mock_nv, nim_cfg_bad_api, mock_builder): + """Non-chat API types must raise.""" + with pytest.raises(ValueError, match="only supports chat completion"): + async with nim_llama_index(nim_cfg_bad_api, mock_builder): + pass + mock_nv.assert_not_called() + + +# --------------------------------------------------------------------------- +# OpenAI → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAILlamaIndex: + """Tests for openai_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg_chat(self): + return OpenAIModelConfig(model_name="gpt-4o", base_url=None) + + @pytest.fixture + def oa_cfg_responses(self): + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES, temperature=0.1) + + @patch("llama_index.llms.openai.OpenAI") + async def test_chat_completion_branch(self, mock_openai, oa_cfg_chat, mock_builder): + """CHAT_COMPLETION should create an OpenAI client, omitting base_url when None.""" + async with openai_llama_index(oa_cfg_chat, mock_builder) as llm: + mock_openai.assert_called_once() + kwargs = mock_openai.call_args.kwargs + assert kwargs["model"] == "gpt-4o" + assert "base_url" not in kwargs + assert llm is mock_openai.return_value + + @patch("llama_index.llms.openai.OpenAIResponses") + async def test_responses_branch(self, mock_resp, oa_cfg_responses, mock_builder): + """RESPONSES API type should instantiate OpenAIResponses.""" + async with openai_llama_index(oa_cfg_responses, mock_builder) as llm: + mock_resp.assert_called_once() + kwargs = mock_resp.call_args.kwargs + assert kwargs["model"] == "gpt-4o" + assert kwargs["temperature"] == 0.1 + assert llm is mock_resp.return_value + + +# --------------------------------------------------------------------------- +# AWS Bedrock → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestBedrockLlamaIndex: + """Tests for aws_bedrock_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def br_cfg(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra") + + @pytest.fixture + def br_cfg_bad_api(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) + + @patch("llama_index.llms.bedrock.Bedrock") + async def test_basic_creation(self, mock_bedrock, br_cfg, mock_builder): + async with aws_bedrock_llama_index(br_cfg, mock_builder) as llm: + mock_bedrock.assert_called_once() + assert mock_bedrock.call_args.kwargs["model"] == "ai21.j2-ultra" + assert llm is mock_bedrock.return_value + + @patch("llama_index.llms.bedrock.Bedrock") + async def test_api_type_validation(self, mock_bedrock, br_cfg_bad_api, mock_builder): + with pytest.raises(ValueError, match="only supports chat completion"): + async with aws_bedrock_llama_index(br_cfg_bad_api, mock_builder): + pass + mock_bedrock.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Ensure register_llm_client decorators registered the Llama-Index wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX): nim_llama_index, + (OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX): openai_llama_index, + (AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX): aws_bedrock_llama_index, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is nim_llama_index + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is openai_llama_index + assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is aws_bedrock_llama_index diff --git a/packages/aiqtoolkit_semantic_kernel/tests/test_llm.py b/packages/aiqtoolkit_semantic_kernel/tests/test_llm.py new file mode 100644 index 000000000..f7d50dfb6 --- /dev/null +++ b/packages/aiqtoolkit_semantic_kernel/tests/test_llm.py @@ -0,0 +1,81 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.semantic_kernel.llm import openai_semantic_kernel + +# --------------------------------------------------------------------------- +# OpenAI → Semantic-Kernel wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAISemanticKernel: + """Tests for the openai_semantic_kernel wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o") + + @pytest.fixture + def oa_cfg_responses(self): + # Using the RESPONSES API must be rejected by the wrapper. + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES) + + @patch("semantic_kernel.connectors.ai.open_ai.OpenAIChatCompletion") + async def test_basic_creation(self, mock_sk, oa_cfg, mock_builder): + """Ensure the wrapper instantiates OpenAIChatCompletion with the right model id.""" + async with openai_semantic_kernel(oa_cfg, mock_builder) as llm_obj: + mock_sk.assert_called_once() + assert mock_sk.call_args.kwargs["ai_model_id"] == "gpt-4o" + assert llm_obj is mock_sk.return_value + + @patch("semantic_kernel.connectors.ai.open_ai.OpenAIChatCompletion") + async def test_responses_api_blocked(self, mock_sk, oa_cfg_responses, mock_builder): + """Selecting APIType.RESPONSES must raise a ValueError.""" + with pytest.raises(ValueError, match="Responses API is not supported"): + async with openai_semantic_kernel(oa_cfg_responses, mock_builder): + pass + mock_sk.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Verify that register_llm_client decorated the Semantic-Kernel wrapper.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + # Pretend decorator execution populated the map. + registry._llm_client_map = { + (OpenAIModelConfig, LLMFrameworkEnum.SEMANTIC_KERNEL): openai_semantic_kernel, + } + + assert (registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.SEMANTIC_KERNEL)] is openai_semantic_kernel) From a492eceafc899c0229c9d6258841d109f1647a9c Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:04:19 -0400 Subject: [PATCH 23/69] Add test cases for LLM client wrappers across frameworks This update introduces comprehensive unit tests for multiple frameworks, including LLaMA-Index, CrewAI, LangChain, Semantic Kernel, and Agno. Key additions include validation for API types, parameter passthroughs, and decorator registrations, ensuring correctness and reliability of wrapper implementations. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/register.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index bf3e07133..7fa05470c 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -85,7 +85,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls=config.parallel_tool_calls, strict=True) if config.verbose: - logger.info(f"{AGENT_LOG_PREFIX} Using LLM: {llm.name} with tools: {tools}") + logger.info(f"%s Using LLM: %s with tools: %s", AGENT_LOG_PREFIX, llm.model_name, tools) agent = ToolCallAgentGraph( llm=llm, From 570279c9b031eea3dfb95a3ab576e3f37494188b Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:21:39 -0400 Subject: [PATCH 24/69] Remove deprecated config_responses_api.yml file The config file was removed as it is no longer needed or used. This cleanup helps to avoid maintaining outdated or unused configurations in the project. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../configs/config_responses_api.yml | 55 ------------------- 1 file changed, 55 deletions(-) delete mode 100644 examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml diff --git a/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml b/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml deleted file mode 100644 index abe7bd825..000000000 --- a/examples/simple_calculator/src/aiq_simple_calculator/configs/config_responses_api.yml +++ /dev/null @@ -1,55 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -general: - use_uvloop: true - -functions: - calculator_multiply: - _type: calculator_multiply - calculator_inequality: - _type: calculator_inequality - calculator_divide: - _type: aiq_simple_calculator/calculator_divide - current_datetime: - _type: current_datetime - calculator_subtract: - _type: calculator_subtract - -llms: - openai_llm: - _type: openai - model_name: gpt-4.1 - max_tokens: 2000 - api_type: responses - -workflow: - _type: responses_api_agent - aiq_tools: - - calculator_multiply - - calculator_inequality - - current_datetime - - calculator_divide - - calculator_subtract - builtin_tools: - - type: code_interpreter - container: - type: auto - mcp_tools: - - server_label: deepwiki - server_url: "https://mcp.deepwiki.com/mcp" - - llm_name: openai_llm - verbose: true From e934eac5c00c1ce62c4ee94b3795b5718785ea0f Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:23:13 -0400 Subject: [PATCH 25/69] Update Llama-Index dependencies to latest versions Upgraded several Llama-Index-related packages to their latest compatible versions, including "llama-index" to 0.12.40 and introduced "llama-index-llms-openai" (>=0.4.2). Removed unnecessary "openai" dependency and added new packages like "banks" and "griffe". Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../multi_frameworks/pyproject.toml | 1 - .../aiqtoolkit_llama_index/pyproject.toml | 6 +- uv.lock | 114 +++++++++++------- 3 files changed, 76 insertions(+), 45 deletions(-) diff --git a/examples/basic/frameworks/multi_frameworks/pyproject.toml b/examples/basic/frameworks/multi_frameworks/pyproject.toml index 51176e863..7db29460e 100644 --- a/examples/basic/frameworks/multi_frameworks/pyproject.toml +++ b/examples/basic/frameworks/multi_frameworks/pyproject.toml @@ -14,7 +14,6 @@ dependencies = [ "bs4==0.0.2", "markdown-it-py~=3.0", "nvidia-haystack==0.1.2", - "openai~=1.78.0", # Pin to compatible range with llama-index ] requires-python = ">=3.11,<3.13" description = "Custom AIQ toolkit Workflow" diff --git a/packages/aiqtoolkit_llama_index/pyproject.toml b/packages/aiqtoolkit_llama_index/pyproject.toml index 737df47e0..1d0c9335f 100644 --- a/packages/aiqtoolkit_llama_index/pyproject.toml +++ b/packages/aiqtoolkit_llama_index/pyproject.toml @@ -22,12 +22,14 @@ dependencies = [ "aiqtoolkit~=1.2", # We ran into pydantic validation errors with newer versions of llama-index, not sure which version introduced the # error - "llama-index-core==0.12.39", + "llama-index-core==0.12.40", "llama-index-embeddings-nvidia==0.3.1", "llama-index-llms-bedrock==0.3.8", "llama-index-llms-nvidia==0.3.4", "llama-index-readers-file==0.4.4", - "llama-index==0.12.39", + "llama-index==0.12.40", + "llama-index-llms-openai>=0.4.2" + ] requires-python = ">=3.11,<3.13" description = "Subpackage for Llama-Index integration in AIQtoolkit" diff --git a/uv.lock b/uv.lock index 40f6497ab..e67e83454 100644 --- a/uv.lock +++ b/uv.lock @@ -305,7 +305,6 @@ dependencies = [ { name = "bs4" }, { name = "markdown-it-py" }, { name = "nvidia-haystack" }, - { name = "openai" }, ] [package.metadata] @@ -315,7 +314,6 @@ requires-dist = [ { name = "bs4", specifier = "==0.0.2" }, { name = "markdown-it-py", specifier = "~=3.0" }, { name = "nvidia-haystack", specifier = "==0.1.2" }, - { name = "openai", specifier = "~=1.78.0" }, ] [[package]] @@ -766,7 +764,7 @@ requires-dist = [ { name = "langchain-milvus", specifier = "~=0.1.5" }, { name = "langchain-milvus", specifier = "~=0.1.8" }, { name = "langchain-nvidia-ai-endpoints", specifier = "~=0.3.5" }, - 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Updated it to use proper string interpolation for consistency and to avoid potential runtime issues. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- src/aiq/agent/responses_api_agent/register.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/aiq/agent/responses_api_agent/register.py index 7fa05470c..8065e9962 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/aiq/agent/responses_api_agent/register.py @@ -85,7 +85,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, llm: Runnable = llm.bind_tools(tools=tools, parallel_tool_calls=config.parallel_tool_calls, strict=True) if config.verbose: - logger.info(f"%s Using LLM: %s with tools: %s", AGENT_LOG_PREFIX, llm.model_name, tools) + logger.info("%s Using LLM: %s with tools: %s", AGENT_LOG_PREFIX, llm.model_name, tools) agent = ToolCallAgentGraph( llm=llm, From ef887e41d001aa1676807fac04cfb681028251e5 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:37:58 -0400 Subject: [PATCH 27/69] Rename test files for improved clarity and consistency. Updated test file names across multiple packages to better indicate their specific context. This change enhances readability and reduces ambiguity when navigating the test suite. No functionality has been altered. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/tests/{test_llm.py => test_llm_agno.py} | 0 .../aiqtoolkit_crewai/tests/{test_llm.py => test_llm_crewai.py} | 0 .../tests/{test_llm.py => test_llm_langchain.py} | 0 .../tests/{test_llm.py => test_llm_llama_index.py} | 0 .../tests/{test_llm.py => test_llm_sk.py} | 0 5 files changed, 0 insertions(+), 0 deletions(-) rename packages/aiqtoolkit_agno/tests/{test_llm.py => test_llm_agno.py} (100%) rename packages/aiqtoolkit_crewai/tests/{test_llm.py => test_llm_crewai.py} (100%) rename packages/aiqtoolkit_langchain/tests/{test_llm.py => test_llm_langchain.py} (100%) rename packages/aiqtoolkit_llama_index/tests/{test_llm.py => test_llm_llama_index.py} (100%) rename packages/aiqtoolkit_semantic_kernel/tests/{test_llm.py => test_llm_sk.py} (100%) diff --git a/packages/aiqtoolkit_agno/tests/test_llm.py b/packages/aiqtoolkit_agno/tests/test_llm_agno.py similarity index 100% rename from packages/aiqtoolkit_agno/tests/test_llm.py rename to packages/aiqtoolkit_agno/tests/test_llm_agno.py diff --git a/packages/aiqtoolkit_crewai/tests/test_llm.py b/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py similarity index 100% rename from packages/aiqtoolkit_crewai/tests/test_llm.py rename to packages/aiqtoolkit_crewai/tests/test_llm_crewai.py diff --git a/packages/aiqtoolkit_langchain/tests/test_llm.py b/packages/aiqtoolkit_langchain/tests/test_llm_langchain.py similarity index 100% rename from packages/aiqtoolkit_langchain/tests/test_llm.py rename to packages/aiqtoolkit_langchain/tests/test_llm_langchain.py diff --git a/packages/aiqtoolkit_llama_index/tests/test_llm.py b/packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py similarity index 100% rename from packages/aiqtoolkit_llama_index/tests/test_llm.py rename to packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py diff --git a/packages/aiqtoolkit_semantic_kernel/tests/test_llm.py b/packages/aiqtoolkit_semantic_kernel/tests/test_llm_sk.py similarity index 100% rename from packages/aiqtoolkit_semantic_kernel/tests/test_llm.py rename to packages/aiqtoolkit_semantic_kernel/tests/test_llm_sk.py From 5fc0f68a5965e28a55096e4afe497737f68dabf0 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 10:55:22 -0400 Subject: [PATCH 28/69] Fix test assertion and update test discovery paths Update test to correctly assert "id" instead of "model" for LLM parameter validation. Adjust test discovery paths in `pyproject.toml` to include nested test directories under `examples`. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/tests/test_llm_agno.py | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/aiqtoolkit_agno/tests/test_llm_agno.py b/packages/aiqtoolkit_agno/tests/test_llm_agno.py index 3f00c85a0..2a9fc9046 100644 --- a/packages/aiqtoolkit_agno/tests/test_llm_agno.py +++ b/packages/aiqtoolkit_agno/tests/test_llm_agno.py @@ -182,7 +182,7 @@ async def test_openai_agno_with_additional_params(self, mock_openai_chat, openai call_kwargs = mock_openai_chat.call_args[1] # Check that all parameters are passed correctly - assert call_kwargs["model"] == "gpt-4" + assert call_kwargs["id"] == "gpt-4" assert call_kwargs["api_key"] == "test-api-key" assert call_kwargs["temperature"] == 0.7 # Not checking max_tokens diff --git a/pyproject.toml b/pyproject.toml index cc37c5de2..ee7852638 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -229,7 +229,7 @@ filterwarnings = [ # Remove once https://github.com/qdrant/qdrant-client/issues/983 is resolved. "ignore:^invalid escape sequence:SyntaxWarning" ] -testpaths = ["tests", "examples/*/tests", "packages/*/tests"] +testpaths = ["tests", "examples/**/tests", "packages/*/tests"] asyncio_mode = "auto" asyncio_default_fixture_loop_scope = "session" From a2faaa7443835bcb8b2d8b26c8f0ffc00d7711a6 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 11:36:36 -0400 Subject: [PATCH 29/69] Refactor path handling to resolve repo-relative paths Replaced `importlib.resources.files` with `pathlib.Path` to construct absolute paths for repo-relative file references. Introduced a helper function to handle path resolution consistently, including fallback mechanisms for nonexistent paths. Simplifies path management and improves code readability and maintainability. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq_alert_triage_agent/utils.py | 42 ++++++++++++++++--- .../tests/test_alert_triage_agent_workflow.py | 11 +++-- .../tests/test_maintenance_check.py | 6 ++- .../alert_triage_agent/tests/test_utils.py | 9 ++-- 4 files changed, 53 insertions(+), 15 deletions(-) diff --git a/examples/advanced/alert_triage_agent/src/aiq_alert_triage_agent/utils.py b/examples/advanced/alert_triage_agent/src/aiq_alert_triage_agent/utils.py index 2d43b371a..0d1d5e340 100644 --- a/examples/advanced/alert_triage_agent/src/aiq_alert_triage_agent/utils.py +++ b/examples/advanced/alert_triage_agent/src/aiq_alert_triage_agent/utils.py @@ -17,6 +17,7 @@ import logging import math import os +from pathlib import Path import ansible_runner import pandas as pd @@ -100,12 +101,41 @@ def preload_offline_data(offline_data_path: str | None, benign_fallback_data_pat if benign_fallback_data_path is None: raise ValueError("benign_fallback_data_path must be provided") - _DATA_CACHE['offline_data'] = pd.read_csv(offline_data_path) - logger.info(f"Preloaded test data from: {offline_data_path}") - - with open(benign_fallback_data_path, "r") as f: - _DATA_CACHE['benign_fallback_offline_data'] = json.load(f) - logger.info(f"Preloaded benign fallback data from: {benign_fallback_data_path}") + # Helper to turn a repo-relative path into an absolute one. + # If the incoming path is already absolute, it is returned unchanged. + # Otherwise we walk up from this file until we find the directory *above* + # 'examples', treating that as the repo root, and join the relative path. + def _make_abs(path_str: str) -> Path: + path = Path(path_str) + if path.is_absolute(): + return path + + for ancestor in Path(__file__).resolve().parents: + if ancestor.name == "examples": + return (ancestor.parent / path).resolve() + + # Fallback: join with the current working directory + return (Path.cwd() / path).resolve() + + # ---- Load CSV (offline data) ---- + offline_path = Path(offline_data_path) + try: + _DATA_CACHE['offline_data'] = pd.read_csv(offline_path) + except FileNotFoundError: + offline_path = _make_abs(offline_data_path) + _DATA_CACHE['offline_data'] = pd.read_csv(offline_path) + logger.info(f"Preloaded test data from: {offline_path}") + + # ---- Load JSON (benign fallback) ---- + benign_path = Path(benign_fallback_data_path) + try: + with open(benign_path, "r") as f: + _DATA_CACHE['benign_fallback_offline_data'] = json.load(f) + except FileNotFoundError: + benign_path = _make_abs(benign_fallback_data_path) + with open(benign_path, "r") as f: + _DATA_CACHE['benign_fallback_offline_data'] = json.load(f) + logger.info(f"Preloaded benign fallback data from: {benign_path}") def get_offline_data() -> pd.DataFrame: diff --git a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py index 0ffd32225..7b575d8a1 100644 --- a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py +++ b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -28,7 +28,6 @@ logger = logging.getLogger(__name__) - @pytest.mark.e2e async def test_full_workflow(): @@ -41,15 +40,21 @@ async def test_full_workflow(): config = yaml.safe_load(file) input_filepath = config["eval"]["general"]["dataset"]["file_path"] - input_filepath_abs = importlib.resources.files(package_name).joinpath("../../../../", input_filepath).absolute() + # Build an absolute path to the dataset file. + # `input_filepath` is relative to the repo root (e.g. "examples/advanced/..."). + # Ascend from this test file to the repo root and join the relative path. + repo_root = Path(__file__).resolve().parents[4] # adjust if directory depth changes + input_filepath_abs = (repo_root / input_filepath).resolve() # Load input data with open(input_filepath_abs, 'r') as f: input_data = json.load(f) - # Run the workflow + # + # # Run the workflow results = [] async with load_workflow(config_file) as workflow: + pass for item in input_data: async with workflow.run(item["question"]) as runner: result = await runner.result(to_type=str) diff --git a/examples/advanced/alert_triage_agent/tests/test_maintenance_check.py b/examples/advanced/alert_triage_agent/tests/test_maintenance_check.py index 977a8f485..0173053b6 100644 --- a/examples/advanced/alert_triage_agent/tests/test_maintenance_check.py +++ b/examples/advanced/alert_triage_agent/tests/test_maintenance_check.py @@ -47,8 +47,10 @@ def test_load_maintenance_data(): with open(config_file, "r") as file: config = yaml.safe_load(file) maintenance_data_path = config["functions"]["maintenance_check"]["static_data_path"] - maintenance_data_path_abs = importlib.resources.files(package_name).joinpath("../../../../", - maintenance_data_path).absolute() + + # Build an absolute path to the maintenance data file. + repo_root = Path(__file__).resolve().parents[4] + maintenance_data_path_abs = (repo_root / maintenance_data_path).resolve() # Test successful loading with actual maintenance data file df = _load_maintenance_data(maintenance_data_path_abs) diff --git a/examples/advanced/alert_triage_agent/tests/test_utils.py b/examples/advanced/alert_triage_agent/tests/test_utils.py index 43a942d77..1ec41d243 100644 --- a/examples/advanced/alert_triage_agent/tests/test_utils.py +++ b/examples/advanced/alert_triage_agent/tests/test_utils.py @@ -100,10 +100,11 @@ def test_preload_offline_data(): config = yaml.safe_load(file) offline_data_path = config["workflow"]["offline_data_path"] benign_fallback_data_path = config["workflow"]["benign_fallback_data_path"] - offline_data_path_abs = importlib.resources.files(package_name).joinpath("../../../../", - offline_data_path).absolute() - benign_fallback_data_path_abs = importlib.resources.files(package_name).joinpath( - "../../../../", benign_fallback_data_path).absolute() + + repo_root = Path(__file__).resolve().parents[4] + offline_data_path_abs = (repo_root / offline_data_path).resolve() + + benign_fallback_data_path_abs = (repo_root / benign_fallback_data_path).resolve() # Test successful loading with actual test files preload_offline_data(offline_data_path_abs, benign_fallback_data_path_abs) From 056954ef3d447e72a51d2b7c59ab855c718eea03 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Tue, 8 Jul 2025 11:47:53 -0400 Subject: [PATCH 30/69] Refactor test to improve file handling and loop clarity. Added UTF-8 encoding for file operations to ensure compatibility and avoid potential encoding issues. Refactored loop to enhance readability by using enumerate for cleaner variable handling. Removed unnecessary comments for better code clarity. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../tests/test_alert_triage_agent_workflow.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py index 7b575d8a1..c9a6464b9 100644 --- a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py +++ b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -28,6 +28,7 @@ logger = logging.getLogger(__name__) + @pytest.mark.e2e async def test_full_workflow(): @@ -36,7 +37,7 @@ async def test_full_workflow(): config_file: Path = importlib.resources.files(package_name).joinpath("configs", "config_offline_mode.yml").absolute() - with open(config_file, "r") as file: + with open(config_file, "r", encoding="utf-8") as file: config = yaml.safe_load(file) input_filepath = config["eval"]["general"]["dataset"]["file_path"] @@ -47,10 +48,9 @@ async def test_full_workflow(): input_filepath_abs = (repo_root / input_filepath).resolve() # Load input data - with open(input_filepath_abs, 'r') as f: + with open(input_filepath_abs, 'r', encoding='utf-8') as f: input_data = json.load(f) - # # # Run the workflow results = [] async with load_workflow(config_file) as workflow: @@ -69,6 +69,6 @@ async def test_full_workflow(): assert 'maintenance' in results[3] # Check that rows with hosts not under maintenance contain root cause categorization - for i in range(len(results)): + for i, res in enumerate(results): if i != 3: - assert "root cause category" in results[i].lower() + assert "root cause category" in res.lower() From 74c988eecafe379c628a66e32f18f642f2365155 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 9 Jul 2025 10:10:06 -0400 Subject: [PATCH 31/69] Streamline tool schema handling and fix minor issues Introduce a warning log for failed tool schema parsing to improve debugging and avoid repetitive warnings. Update default values and type definitions for `tool_outputs` for consistency. Correct minor typos and remove unnecessary test code comments. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../tests/test_alert_triage_agent_workflow.py | 3 +-- src/aiq/data_models/intermediate_step.py | 2 +- src/aiq/data_models/openai_mcp.py | 2 +- .../callbacks/langchain_callback_handler.py | 13 +++++++++++-- .../callbacks/llama_index_callback_handler.py | 2 +- 5 files changed, 15 insertions(+), 7 deletions(-) diff --git a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py index c9a6464b9..e80b721fa 100644 --- a/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py +++ b/examples/advanced/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -51,10 +51,9 @@ async def test_full_workflow(): with open(input_filepath_abs, 'r', encoding='utf-8') as f: input_data = json.load(f) - # # Run the workflow + # Run the workflow results = [] async with load_workflow(config_file) as workflow: - pass for item in input_data: async with workflow.run(item["question"]) as runner: result = await runner.result(to_type=str) diff --git a/src/aiq/data_models/intermediate_step.py b/src/aiq/data_models/intermediate_step.py index 4a78275a2..2f2cd8de9 100644 --- a/src/aiq/data_models/intermediate_step.py +++ b/src/aiq/data_models/intermediate_step.py @@ -115,7 +115,7 @@ class TraceMetadata(BaseModel): chat_responses: typing.Any | None = None chat_inputs: typing.Any | None = None tool_inputs: typing.Any | None = None - tool_outputs: typing.Any | None = None + tool_outputs: ServerToolUseSchema | typing.Any | None = None tool_info: typing.Any | None = None span_inputs: typing.Any | None = None span_outputs: typing.Any | None = None diff --git a/src/aiq/data_models/openai_mcp.py b/src/aiq/data_models/openai_mcp.py index 681a04d03..a8da5aab6 100644 --- a/src/aiq/data_models/openai_mcp.py +++ b/src/aiq/data_models/openai_mcp.py @@ -9,7 +9,7 @@ # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR m OF ANY KIND, either express or implied. +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index 12d0fab11..4800ae650 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -43,6 +43,8 @@ logger = logging.getLogger(__name__) +tool_schema_warned = False + def _extract_tools_schema(invocation_params: dict) -> list: @@ -52,7 +54,14 @@ def _extract_tools_schema(invocation_params: dict) -> list: try: tools_schema.append(ToolSchema(**tool)) except Exception: - pass + global tool_schema_warned + if not tool_schema_warned: + logger.warning( + "Failed to parse tool schema from invocation params: %s. \n This " + "can occur when the LLM server has native tools and can be ignored if " + "using the responses API.", + tool) + tool_schema_warned = True return tools_schema @@ -253,7 +262,7 @@ async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: output=llm_text_output), usage_info=UsageInfo(token_usage=self._extract_token_base_model(usage_metadata)), metadata=TraceMetadata(chat_responses=[generation] if generation else [], - tool_outputs=tool_outputs_list if tool_outputs_list else None)) + tool_outputs=tool_outputs_list if tool_outputs_list else [])) self.step_manager.push_intermediate_step(usage_stat) diff --git a/src/aiq/profiler/callbacks/llama_index_callback_handler.py b/src/aiq/profiler/callbacks/llama_index_callback_handler.py index a0d7a484f..febf11b04 100644 --- a/src/aiq/profiler/callbacks/llama_index_callback_handler.py +++ b/src/aiq/profiler/callbacks/llama_index_callback_handler.py @@ -189,7 +189,7 @@ def on_event_end( UUID=event_id, data=StreamEventData(input=self._run_id_to_llm_input.get(event_id), output=llm_text_output), metadata=TraceMetadata(chat_responses=response.message if response.message else None, - tool_outputs=tool_outputs_list if tool_outputs_list else None), + tool_outputs=tool_outputs_list if tool_outputs_list else []), usage_info=UsageInfo(token_usage=TokenUsageBaseModel(**response.additional_kwargs))) self.step_manager.push_intermediate_step(stats) From b42d5e03cb1f0588825443b43b9ab470e6ee9560 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 9 Jul 2025 10:14:37 -0400 Subject: [PATCH 32/69] Refactor "validate_no_responses_api" into shared utility module Moved the "validate_no_responses_api" function to a new shared module in `aiq.utils.responses_api` for reuse across multiple plugins. This eliminates duplicate code and improves maintainability by consolidating the validation logic in one place. Updated references in affected files to use the shared function. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/agno/llm.py | 9 ++------ .../src/aiq/plugins/crewai/llm.py | 12 +++------- .../src/aiq/plugins/semantic_kernel/llm.py | 11 ++------- src/aiq/utils/responses_api.py | 23 +++++++++++++++++++ 4 files changed, 30 insertions(+), 25 deletions(-) create mode 100644 src/aiq/utils/responses_api.py diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index af733736a..cf8514e3d 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -21,21 +21,16 @@ from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.utils.responses_api import validate_no_responses_api -def _validate_no_responses_api(llm_config): - """Validate that the LLM config does not use the Responses API.""" - - if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported with Agno. Please use a different API type.") - @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.AGNO) async def nim_agno(llm_config: NIMModelConfig, builder: Builder): from agno.models.nvidia import Nvidia - _validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config) config_obj = { **llm_config.model_dump(exclude={"type", "model_name", "api_type"}, by_alias=True), diff --git a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py index ec24419b3..0fd459d1d 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py @@ -21,13 +21,7 @@ from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig - - -def _validate_no_responses_api(llm_config): - """Validate that the LLM config does not use the Responses API.""" - - if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported with CrewAI. Please use a different API type.") +from aiq.utils.responses_api import validate_no_responses_api @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.CREWAI) @@ -35,7 +29,7 @@ async def nim_crewai(llm_config: NIMModelConfig, builder: Builder): from crewai import LLM - _validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config) config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), @@ -64,7 +58,7 @@ async def openai_crewai(llm_config: OpenAIModelConfig, builder: Builder): from crewai import LLM - _validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config) config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), diff --git a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index 39ce788b1..d98a6982a 100644 --- a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -18,14 +18,7 @@ from aiq.cli.register_workflow import register_llm_client from aiq.data_models.llm import APITypeEnum from aiq.llm.openai_llm import OpenAIModelConfig - - -def _validate_no_responses_api(llm_config): - """Validate that the LLM config does not use the Responses API.""" - - if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported with Semantic Kernel as a Connector. " - "Use semantic_kernel.agents.OpenAIResponsesAgent instead.") +from aiq.utils.responses_api import validate_no_responses_api @register_llm_client(config_type=OpenAIModelConfig, wrapper_type=LLMFrameworkEnum.SEMANTIC_KERNEL) @@ -33,7 +26,7 @@ async def openai_semantic_kernel(llm_config: OpenAIModelConfig, builder: Builder from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion - _validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config) config_obj = { **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True), diff --git a/src/aiq/utils/responses_api.py b/src/aiq/utils/responses_api.py new file mode 100644 index 000000000..69beb5f3c --- /dev/null +++ b/src/aiq/utils/responses_api.py @@ -0,0 +1,23 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from aiq.data_models.llm import APITypeEnum + +def validate_no_responses_api(llm_config): + """Validate that the LLM config does not use the Responses API.""" + + if llm_config.api_type == APITypeEnum.RESPONSES: + raise ValueError("Responses API is not supported for config %s. Please use a different API type." + , llm_config) From 3f10b89a0623425fad785a0d9f83767d23ea5bdd Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 9 Jul 2025 10:15:22 -0400 Subject: [PATCH 33/69] Remove unused APITypeEnum imports across modules Eliminated unused `APITypeEnum` imports in multiple files to clean up code and improve maintainability. Adjusted formatting in `responses_api.py` for consistency and readability without altering functionality. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py | 1 - packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py | 1 - .../src/aiq/plugins/semantic_kernel/llm.py | 1 - src/aiq/utils/responses_api.py | 4 ++-- 4 files changed, 2 insertions(+), 5 deletions(-) diff --git a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py index cf8514e3d..e7f5e36ee 100644 --- a/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py +++ b/packages/aiqtoolkit_agno/src/aiq/plugins/agno/llm.py @@ -24,7 +24,6 @@ from aiq.utils.responses_api import validate_no_responses_api - @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.AGNO) async def nim_agno(llm_config: NIMModelConfig, builder: Builder): diff --git a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py index 0fd459d1d..3b5e20d6a 100644 --- a/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/aiqtoolkit_crewai/src/aiq/plugins/crewai/llm.py @@ -18,7 +18,6 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client -from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig from aiq.utils.responses_api import validate_no_responses_api diff --git a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index d98a6982a..c55e8e937 100644 --- a/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/aiqtoolkit_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -16,7 +16,6 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum from aiq.cli.register_workflow import register_llm_client -from aiq.data_models.llm import APITypeEnum from aiq.llm.openai_llm import OpenAIModelConfig from aiq.utils.responses_api import validate_no_responses_api diff --git a/src/aiq/utils/responses_api.py b/src/aiq/utils/responses_api.py index 69beb5f3c..231aa1e81 100644 --- a/src/aiq/utils/responses_api.py +++ b/src/aiq/utils/responses_api.py @@ -15,9 +15,9 @@ from aiq.data_models.llm import APITypeEnum + def validate_no_responses_api(llm_config): """Validate that the LLM config does not use the Responses API.""" if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported for config %s. Please use a different API type." - , llm_config) + raise ValueError("Responses API is not supported for config %s. Please use a different API type.", llm_config) From 940c3d86c5721b07e3fc019da1f08940e9b6e0fd Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 9 Jul 2025 10:23:52 -0400 Subject: [PATCH 34/69] Refactor ValueError messages for Responses API consistency Updated ValueError messages across test cases to maintain consistent phrasing by removing redundant mentions of specific integrations. This ensures clarity and reduces duplication in error descriptions. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- packages/aiqtoolkit_agno/tests/test_llm_agno.py | 3 +-- packages/aiqtoolkit_crewai/tests/test_llm_crewai.py | 4 ++-- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/packages/aiqtoolkit_agno/tests/test_llm_agno.py b/packages/aiqtoolkit_agno/tests/test_llm_agno.py index 2a9fc9046..3ad34808a 100644 --- a/packages/aiqtoolkit_agno/tests/test_llm_agno.py +++ b/packages/aiqtoolkit_agno/tests/test_llm_agno.py @@ -62,8 +62,7 @@ async def test_nim_agno_basic(self, mock_nvidia, nim_config, mock_builder): async def test_nim_agno_responses(self, mock_nvidia, nim_config_responses, mock_builder): """Test that nim_agno raises ValueError for NIMModelConfig with Responses API.""" # Use the context manager properly - with pytest.raises(ValueError, - match="Responses API is not supported with Agno. Please use a different API type."): + with pytest.raises(ValueError, match="Responses API is not supported"): async with nim_agno(nim_config_responses, mock_builder): pass diff --git a/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py b/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py index b126381d1..806185ba1 100644 --- a/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py +++ b/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py @@ -60,7 +60,7 @@ async def test_basic_creation(self, mock_llm, nim_cfg, mock_builder): @patch("crewai.LLM") async def test_responses_api_blocked(self, mock_llm, nim_cfg_responses, mock_builder): """Selecting the Responses API must raise a ValueError.""" - with pytest.raises(ValueError, match="Responses API is not supported with CrewAI"): + with pytest.raises(ValueError, match="Responses API is not supported"): async with nim_crewai(nim_cfg_responses, mock_builder): pass mock_llm.assert_not_called() @@ -120,7 +120,7 @@ async def test_param_passthrough(self, mock_llm, openai_cfg, mock_builder): @patch("crewai.LLM") async def test_responses_api_blocked(self, mock_llm, openai_cfg_responses, mock_builder): - with pytest.raises(ValueError, match="Responses API is not supported with CrewAI"): + with pytest.raises(ValueError, match="Responses API is not supported"): async with openai_crewai(openai_cfg_responses, mock_builder): pass mock_llm.assert_not_called() From b7d1c62ae20bfd311299fe2244bbc2cb62db3b7a Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 9 Jul 2025 10:49:18 -0400 Subject: [PATCH 35/69] Simplify tool schema parsing and reduce logging level. Removed the `tool_schema_warned` flag and adjusted the logging level for failed tool schema parsing from warning to debug. This change aims to reduce unnecessary warnings and improve clarity during debugging without impacting functionality. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../callbacks/langchain_callback_handler.py | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index 4800ae650..58cca2fc4 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -43,8 +43,6 @@ logger = logging.getLogger(__name__) -tool_schema_warned = False - def _extract_tools_schema(invocation_params: dict) -> list: @@ -54,14 +52,11 @@ def _extract_tools_schema(invocation_params: dict) -> list: try: tools_schema.append(ToolSchema(**tool)) except Exception: - global tool_schema_warned - if not tool_schema_warned: - logger.warning( - "Failed to parse tool schema from invocation params: %s. \n This " - "can occur when the LLM server has native tools and can be ignored if " - "using the responses API.", - tool) - tool_schema_warned = True + logger.debug( + "Failed to parse tool schema from invocation params: %s. \n This " + "can occur when the LLM server has native tools and can be ignored if " + "using the responses API.", + tool) return tools_schema From 0e735c29e8df06907a37544200598dc20a1c0ffb Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Thu, 10 Jul 2025 11:31:55 -0400 Subject: [PATCH 36/69] Add support for tracking cached and reasoning token usage This commit introduces two new fields, `cached_tokens` and `reasoning_tokens`, to track token usage more granularly. Updates include changes to data models, processing logic, and logging mechanisms to compute and persist these new token metrics. These enhancements improve token usage insights across various LLM evaluations. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../src/aiq/plugins/langchain/llm.py | 5 ++++- src/aiq/eval/evaluate.py | 2 ++ src/aiq/eval/usage_stats.py | 2 ++ src/aiq/eval/utils/weave_eval.py | 16 ++++++++++++++ .../callbacks/langchain_callback_handler.py | 22 ++++++++++++++----- .../callbacks/token_usage_base_model.py | 2 ++ 6 files changed, 42 insertions(+), 7 deletions(-) diff --git a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py index a357b830d..823ed192e 100644 --- a/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/aiqtoolkit_langchain/src/aiq/plugins/langchain/llm.py @@ -46,8 +46,11 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): # Default kwargs for OpenAI to include usage metadata in the response. If the user has set stream_usage to False, we # will not include this. default_kwargs = {"stream_usage": True} + exclude = {"type", "api_type"} + if llm_config.model_name.startswith('o'): + exclude.add("temperature") - kwargs = {**default_kwargs, **llm_config.model_dump(exclude={"type", "api_type"}, by_alias=True)} + kwargs = {**default_kwargs, **llm_config.model_dump(exclude=exclude, by_alias=True)} if llm_config.api_type == APITypeEnum.RESPONSES: kwargs["use_responses_api"] = True diff --git a/src/aiq/eval/evaluate.py b/src/aiq/eval/evaluate.py index 732042cf4..3b6abec77 100644 --- a/src/aiq/eval/evaluate.py +++ b/src/aiq/eval/evaluate.py @@ -91,6 +91,8 @@ def _compute_usage_stats(self, item: EvalInputItem): usage_stats_per_llm[llm_name].prompt_tokens += step.token_usage.prompt_tokens usage_stats_per_llm[llm_name].completion_tokens += step.token_usage.completion_tokens usage_stats_per_llm[llm_name].total_tokens += step.token_usage.total_tokens + usage_stats_per_llm[llm_name].reasoning_tokens += step.token_usage.reasoning_tokens + usage_stats_per_llm[llm_name].cached_tokens += step.token_usage.cached_tokens total_tokens += step.token_usage.total_tokens # find min and max event timestamps diff --git a/src/aiq/eval/usage_stats.py b/src/aiq/eval/usage_stats.py index 208fd3f5d..2b3ece769 100644 --- a/src/aiq/eval/usage_stats.py +++ b/src/aiq/eval/usage_stats.py @@ -21,6 +21,8 @@ class UsageStatsLLM(BaseModel): prompt_tokens: int = 0 completion_tokens: int = 0 + cached_tokens: int = 0 + reasoning_tokens: int = 0 total_tokens: int = 0 diff --git a/src/aiq/eval/utils/weave_eval.py b/src/aiq/eval/utils/weave_eval.py index d4ae4de87..05f085ccd 100644 --- a/src/aiq/eval/utils/weave_eval.py +++ b/src/aiq/eval/utils/weave_eval.py @@ -118,6 +118,22 @@ async def log_usage_stats(self, item: EvalInputItem, usage_stats_item: UsageStat # log the total tokens for this item, per-llm tokens can be exported later if needed await self.pred_loggers[item.id].alog_score(scorer="wf_tokens", score=usage_stats_item.total_tokens) + # Compute total cached tokens and log it + total_cached_tokens = 0 + for k in usage_stats_item.usage_stats_per_llm: + llm_stats = usage_stats_item.usage_stats_per_llm[k] + total_cached_tokens += llm_stats.cached_tokens + + await self.pred_loggers[item.id].alog_score(scorer="total_cached_tokens", score=total_cached_tokens) + + # Compute total reasoning tokens and log it + total_reasoning_tokens = 0 + for k in usage_stats_item.usage_stats_per_llm: + llm_stats = usage_stats_item.usage_stats_per_llm[k] + total_reasoning_tokens += llm_stats.reasoning_tokens + + await self.pred_loggers[item.id].alog_score(scorer="total_reasoning_tokens", score=total_reasoning_tokens) + async def alog_score(self, eval_output: EvalOutput, evaluator_name: str): """Log scores for evaluation outputs.""" if not self.eval_logger: diff --git a/src/aiq/profiler/callbacks/langchain_callback_handler.py b/src/aiq/profiler/callbacks/langchain_callback_handler.py index 58cca2fc4..22d02deec 100644 --- a/src/aiq/profiler/callbacks/langchain_callback_handler.py +++ b/src/aiq/profiler/callbacks/langchain_callback_handler.py @@ -100,12 +100,22 @@ def _extract_token_base_model(self, usage_metadata: dict[str, Any]) -> TokenUsag prompt_tokens = usage_metadata.get("input_tokens", 0) completion_tokens = usage_metadata.get("output_tokens", 0) total_tokens = usage_metadata.get("total_tokens", 0) - - return TokenUsageBaseModel( - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - total_tokens=total_tokens, - ) + cache_tokens = 0 + reasoning_tokens = 0 + + if "input_token_details" in usage_metadata: + if "cache_read" in usage_metadata["input_token_details"]: + cache_tokens = usage_metadata["input_token_details"]["cache_read"] + + if "output_token_details" in usage_metadata: + if "reasoning" in usage_metadata["output_token_details"]: + reasoning_tokens = usage_metadata["output_token_details"]["reasoning"] + + return TokenUsageBaseModel(prompt_tokens=prompt_tokens, + completion_tokens=completion_tokens, + total_tokens=total_tokens, + cached_tokens=cache_tokens, + reasoning_tokens=reasoning_tokens) return TokenUsageBaseModel() async def on_llm_start(self, serialized: dict[str, Any], prompts: list[str], **kwargs: Any) -> None: diff --git a/src/aiq/profiler/callbacks/token_usage_base_model.py b/src/aiq/profiler/callbacks/token_usage_base_model.py index f1d1562bc..22980a0f2 100644 --- a/src/aiq/profiler/callbacks/token_usage_base_model.py +++ b/src/aiq/profiler/callbacks/token_usage_base_model.py @@ -24,4 +24,6 @@ class TokenUsageBaseModel(BaseModel): prompt_tokens: int = Field(default=0, description="Number of tokens in the prompt.") completion_tokens: int = Field(default=0, description="Number of tokens in the completion.") + cached_tokens: int = Field(default=0, description="Number of tokens read from cache.") + reasoning_tokens: int = Field(default=0, description="Number of tokens used for reasoning.") total_tokens: int = Field(default=0, description="Number of tokens total.") From 184f66fe4c54d5777e38614b24e59e2bacaa3949 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 14 Jul 2025 14:22:22 -0400 Subject: [PATCH 37/69] Add token usage extraction and update MCP dependency version Introduce a static method to extract token usage from responses, improving modularity and error handling. Update MCP dependency version to "~=1.10" for compatibility and feature improvements. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- .../callbacks/llama_index_callback_handler.py | 22 ++++++++++++++++++- uv.lock | 2 +- 2 files changed, 22 insertions(+), 2 deletions(-) diff --git a/src/aiq/profiler/callbacks/llama_index_callback_handler.py b/src/aiq/profiler/callbacks/llama_index_callback_handler.py index febf11b04..1e301ca4f 100644 --- a/src/aiq/profiler/callbacks/llama_index_callback_handler.py +++ b/src/aiq/profiler/callbacks/llama_index_callback_handler.py @@ -65,6 +65,26 @@ def __init__(self) -> None: self._run_id_to_tool_input = {} self._run_id_to_timestamp = {} + @staticmethod + def _extract_token_usage(response: ChatResponse) -> TokenUsageBaseModel: + token_usage = TokenUsageBaseModel() + try: + if response and response.additional_kwargs and "usage" in response.additional_kwargs: + usage = response.additional_kwargs["usage"] if "usage" in response.additional_kwargs else {} + token_usage.prompt_tokens = usage.input_tokens if hasattr(usage, "input_tokens") else 0 + token_usage.completion_tokens = usage.output_tokens if hasattr(usage, "output_tokens") else 0 + + if hasattr(usage, "input_tokens_details") and hasattr(usage.input_tokens_details, "cached_tokens"): + token_usage.cached_tokens = usage.input_tokens_details.cached_tokens + + if hasattr(usage, "output_tokens_details") and hasattr(usage.output_tokens_details, "reasoning_tokens"): + token_usage.reasoning_tokens = usage.output_tokens_details.reasoning_tokens + + except Exception as e: + logger.debug("Error extracting token usage: %s", e, exc_info=True) + + return token_usage + def on_event_start( self, event_type: CBEventType, @@ -190,7 +210,7 @@ def on_event_end( data=StreamEventData(input=self._run_id_to_llm_input.get(event_id), output=llm_text_output), metadata=TraceMetadata(chat_responses=response.message if response.message else None, tool_outputs=tool_outputs_list if tool_outputs_list else []), - usage_info=UsageInfo(token_usage=TokenUsageBaseModel(**response.additional_kwargs))) + usage_info=UsageInfo(token_usage=self._extract_token_usage(response))) self.step_manager.push_intermediate_step(stats) elif event_type == CBEventType.FUNCTION_CALL and payload: diff --git a/uv.lock b/uv.lock index e67e83454..ceefde736 100644 --- a/uv.lock +++ b/uv.lock @@ -655,7 +655,7 @@ requires-dist = [ { name = "jsonpath-ng", specifier = "~=1.7" }, { name = "lxml", marker = "extra == 'ingestion'", specifier = "~=5.4" }, { name = "matplotlib", marker = "extra == 'profiling'", specifier = "~=3.9" }, - { name = "mcp", specifier = ">=1.0.0" }, + { name = "mcp", specifier = "~=1.10" }, { name = "networkx", specifier = "~=3.4" }, { name = "numpy", specifier = "~=1.26" }, { name = "openinference-semantic-conventions", specifier = "~=0.1.14" }, From 0193123cd1596b9c1e9a81f52274aa41da1c6b2b Mon Sep 17 00:00:00 2001 From: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> Date: Mon, 14 Jul 2025 14:25:45 -0400 Subject: [PATCH 38/69] Update metadata in lockfile for package distributions Added upload-time metadata to sdist and wheel distributions in the lockfile. This change improves traceability and ensures accurate version tracking for the specified Python packages. No functional modifications were made to dependencies or their versions. Signed-off-by: dnandakumar-nv <168006707+dnandakumar-nv@users.noreply.github.com> --- uv.lock | 4847 ++++++++++++++++++++++++++++++------------------------- 1 file changed, 2652 insertions(+), 2195 deletions(-) diff --git a/uv.lock b/uv.lock index 31a397002..b8ddc8265 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.11, <3.13" resolution-markers = [ "python_full_version >= '3.12' and sys_platform == 'linux'", @@ -29,9 +29,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pygments" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899 } +sdist = { url = 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dnandakumar-nv Date: Fri, 8 Aug 2025 15:43:40 -0400 Subject: [PATCH 39/69] Update external/aiqtoolkit-opensource-ui dependencies Refreshed dependencies in the external/aiqtoolkit-opensource-ui module to ensure compatibility and improved functionality. This change enhances stability and addresses potential conflicts with outdated versions. Signed-off-by: dnandakumar-nv --- external/aiqtoolkit-opensource-ui | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/external/aiqtoolkit-opensource-ui b/external/aiqtoolkit-opensource-ui index c499f3ff9..eac58dbe6 160000 --- a/external/aiqtoolkit-opensource-ui +++ b/external/aiqtoolkit-opensource-ui @@ -1 +1 @@ -Subproject commit c499f3ff983fa5663acb159cb04e4ddb446f3f27 +Subproject commit eac58dbe62200729e7bde0ca15cc27efca7b082f From a14acc58154e6b6f3d60374b102540a178bba751 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 15:44:48 -0400 Subject: [PATCH 40/69] Update AIQ Toolkit UI dependency Upgraded the external AIQ Toolkit UI to a newer version. This ensures compatibility with recent changes and resolves potential issues with outdated functionality. Signed-off-by: dnandakumar-nv --- external/aiqtoolkit-opensource-ui | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/external/aiqtoolkit-opensource-ui b/external/aiqtoolkit-opensource-ui index eac58dbe6..04df98f1e 160000 --- a/external/aiqtoolkit-opensource-ui +++ b/external/aiqtoolkit-opensource-ui @@ -1 +1 @@ -Subproject commit eac58dbe62200729e7bde0ca15cc27efca7b082f +Subproject commit 04df98f1e94c989f83f868f60c09b47cad662b1f From f9919b36f76694b8544bb0a3d4f295f1f7d7bf34 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 15:48:38 -0400 Subject: [PATCH 41/69] Refactor file path resolution using `importlib.resources`. Simplifies file path computations by replacing manual path construction with `importlib.resources`. This approach improves code readability and consistency across tests while ensuring robust path resolution within the package structure. Signed-off-by: dnandakumar-nv --- .../tests/test_alert_triage_agent_workflow.py | 14 +++++--------- .../tests/test_maintenance_check.py | 8 +++----- .../alert_triage_agent/tests/test_utils.py | 11 +++++------ 3 files changed, 13 insertions(+), 20 deletions(-) diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py index e80b721fa..60dedf9c4 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -37,18 +37,14 @@ async def test_full_workflow(): config_file: Path = importlib.resources.files(package_name).joinpath("configs", "config_offline_mode.yml").absolute() - with open(config_file, "r", encoding="utf-8") as file: + with open(config_file, "r") as file: config = yaml.safe_load(file) input_filepath = config["eval"]["general"]["dataset"]["file_path"] - # Build an absolute path to the dataset file. - # `input_filepath` is relative to the repo root (e.g. "examples/advanced/..."). - # Ascend from this test file to the repo root and join the relative path. - repo_root = Path(__file__).resolve().parents[4] # adjust if directory depth changes - input_filepath_abs = (repo_root / input_filepath).resolve() + input_filepath_abs = importlib.resources.files(package_name).joinpath("../../../../", input_filepath).absolute() # Load input data - with open(input_filepath_abs, 'r', encoding='utf-8') as f: + with open(input_filepath_abs, 'r') as f: input_data = json.load(f) # Run the workflow @@ -68,6 +64,6 @@ async def test_full_workflow(): assert 'maintenance' in results[3] # Check that rows with hosts not under maintenance contain root cause categorization - for i, res in enumerate(results): + for i in range(len(results)): if i != 3: - assert "root cause category" in res.lower() + assert "root cause category" in results[i].lower() \ No newline at end of file diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py b/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py index 0173053b6..618ee5c05 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py @@ -47,10 +47,8 @@ def test_load_maintenance_data(): with open(config_file, "r") as file: config = yaml.safe_load(file) maintenance_data_path = config["functions"]["maintenance_check"]["static_data_path"] - - # Build an absolute path to the maintenance data file. - repo_root = Path(__file__).resolve().parents[4] - maintenance_data_path_abs = (repo_root / maintenance_data_path).resolve() + maintenance_data_path_abs = importlib.resources.files(package_name).joinpath("../../../../", + maintenance_data_path).absolute() # Test successful loading with actual maintenance data file df = _load_maintenance_data(maintenance_data_path_abs) @@ -266,4 +264,4 @@ async def test_maintenance_check_tool(): finally: # Clean up temporary file - os.unlink(f.name) + os.unlink(f.name) \ No newline at end of file diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_utils.py b/examples/advanced_agents/alert_triage_agent/tests/test_utils.py index 1ec41d243..b2c2e3267 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_utils.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_utils.py @@ -100,11 +100,10 @@ def test_preload_offline_data(): config = yaml.safe_load(file) offline_data_path = config["workflow"]["offline_data_path"] benign_fallback_data_path = config["workflow"]["benign_fallback_data_path"] - - repo_root = Path(__file__).resolve().parents[4] - offline_data_path_abs = (repo_root / offline_data_path).resolve() - - benign_fallback_data_path_abs = (repo_root / benign_fallback_data_path).resolve() + offline_data_path_abs = importlib.resources.files(package_name).joinpath("../../../../", + offline_data_path).absolute() + benign_fallback_data_path_abs = importlib.resources.files(package_name).joinpath( + "../../../../", benign_fallback_data_path).absolute() # Test successful loading with actual test files preload_offline_data(offline_data_path_abs, benign_fallback_data_path_abs) @@ -289,4 +288,4 @@ async def test_run_ansible_playbook_various(status, rc, events, stdout, expected assert result["return_code"] == rc assert result["task_results"] == expected_tasks(events or []) if not events: - assert result["raw_output"] == expected_raw + assert result["raw_output"] == expected_raw \ No newline at end of file From caefb0f74256fd2e96521d75101a36d86ceef174 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 15:49:33 -0400 Subject: [PATCH 42/69] Refactor file path resolution using `importlib.resources`. Simplifies file path computations by replacing manual path construction with `importlib.resources`. This approach improves code readability and consistency across tests while ensuring robust path resolution within the package structure. Signed-off-by: dnandakumar-nv --- .../tests/test_alert_triage_agent_workflow.py | 2 +- .../alert_triage_agent/tests/test_maintenance_check.py | 2 +- examples/advanced_agents/alert_triage_agent/tests/test_utils.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py b/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py index 60dedf9c4..0ffd32225 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_alert_triage_agent_workflow.py @@ -66,4 +66,4 @@ async def test_full_workflow(): # Check that rows with hosts not under maintenance contain root cause categorization for i in range(len(results)): if i != 3: - assert "root cause category" in results[i].lower() \ No newline at end of file + assert "root cause category" in results[i].lower() diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py b/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py index 618ee5c05..977a8f485 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_maintenance_check.py @@ -264,4 +264,4 @@ async def test_maintenance_check_tool(): finally: # Clean up temporary file - os.unlink(f.name) \ No newline at end of file + os.unlink(f.name) diff --git a/examples/advanced_agents/alert_triage_agent/tests/test_utils.py b/examples/advanced_agents/alert_triage_agent/tests/test_utils.py index b2c2e3267..43a942d77 100644 --- a/examples/advanced_agents/alert_triage_agent/tests/test_utils.py +++ b/examples/advanced_agents/alert_triage_agent/tests/test_utils.py @@ -288,4 +288,4 @@ async def test_run_ansible_playbook_various(status, rc, events, stdout, expected assert result["return_code"] == rc assert result["task_results"] == expected_tasks(events or []) if not events: - assert result["raw_output"] == expected_raw \ No newline at end of file + assert result["raw_output"] == expected_raw From e31c6b64b186c821e594edbe826ac29cf7854144 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 15:53:02 -0400 Subject: [PATCH 43/69] Remove unit tests for LLM client wrapper plugins Deleted tests for CrewAI, LangChain, and Llama-Index LLM client wrappers. These changes appear to be a cleanup of no longer required test files. The remaining minor code changes focus on improving consistency and formatting. Signed-off-by: dnandakumar-nv --- .../tests/test_llm_crewai.py | 147 -------------- .../tests/test_llm_langchain.py | 183 ------------------ .../tests/test_llm_llama_index.py | 164 ---------------- .../src/aiq/plugins/agno/llm.py | 6 +- .../src/aiq/plugins/crewai/llm.py | 2 +- .../src/aiq/plugins/semantic_kernel/llm.py | 2 +- src/aiq/data_models/llm.py | 16 +- 7 files changed, 13 insertions(+), 507 deletions(-) delete mode 100644 packages/aiqtoolkit_crewai/tests/test_llm_crewai.py delete mode 100644 packages/aiqtoolkit_langchain/tests/test_llm_langchain.py delete mode 100644 packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py diff --git a/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py b/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py deleted file mode 100644 index 806185ba1..000000000 --- a/packages/aiqtoolkit_crewai/tests/test_llm_crewai.py +++ /dev/null @@ -1,147 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -"""Unit tests for CrewAI LLM client wrappers.""" - -import os -from unittest.mock import MagicMock -from unittest.mock import patch - -import pytest - -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.crewai.llm import nim_crewai -from aiq.plugins.crewai.llm import openai_crewai - -# --------------------------------------------------------------------------- -# NIM → CrewAI wrapper tests -# --------------------------------------------------------------------------- - - -class TestNimCrewAI: - """Tests for the nim_crewai wrapper.""" - - @pytest.fixture - def mock_builder(self) -> Builder: - return MagicMock(spec=Builder) - - @pytest.fixture - def nim_cfg(self): - return NIMModelConfig(model_name="test-nim") - - @pytest.fixture - def nim_cfg_responses(self): - return NIMModelConfig(model_name="test-nim", api_type=APITypeEnum.RESPONSES) - - @patch("crewai.LLM") - async def test_basic_creation(self, mock_llm, nim_cfg, mock_builder): - """Wrapper should yield a crewai.LLM configured for the NIM model.""" - async with nim_crewai(nim_cfg, mock_builder) as llm_obj: - mock_llm.assert_called_once() - kwargs = mock_llm.call_args.kwargs - assert kwargs["model"] == "nvidia_nim/test-nim" - assert llm_obj is mock_llm.return_value - - @patch("crewai.LLM") - async def test_responses_api_blocked(self, mock_llm, nim_cfg_responses, mock_builder): - """Selecting the Responses API must raise a ValueError.""" - with pytest.raises(ValueError, match="Responses API is not supported"): - async with nim_crewai(nim_cfg_responses, mock_builder): - pass - mock_llm.assert_not_called() - - @patch("crewai.LLM") - @patch.dict(os.environ, {"NVIDIA_API_KEY": "legacy-key"}, clear=True) - async def test_env_key_transfer(self, mock_llm, nim_cfg, mock_builder): - """ - If NVIDIA_NIM_API_KEY is not set but NVIDIA_API_KEY is, - the wrapper should copy it for LiteLLM compatibility. - """ - assert "NVIDIA_NIM_API_KEY" not in os.environ - async with nim_crewai(nim_cfg, mock_builder): - pass - assert os.environ["NVIDIA_NIM_API_KEY"] == "legacy-key" - mock_llm.assert_called_once() - - -# --------------------------------------------------------------------------- -# OpenAI → CrewAI wrapper tests -# --------------------------------------------------------------------------- - - -class TestOpenAICrewAI: - """Tests for the openai_crewai wrapper.""" - - @pytest.fixture - def mock_builder(self) -> Builder: - return MagicMock(spec=Builder) - - @pytest.fixture - def openai_cfg(self): - return OpenAIModelConfig(model_name="gpt-4o") - - @pytest.fixture - def openai_cfg_responses(self): - return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES) - - @patch("crewai.LLM") - async def test_basic_creation(self, mock_llm, openai_cfg, mock_builder): - """Wrapper should yield a crewai.LLM for OpenAI models.""" - async with openai_crewai(openai_cfg, mock_builder) as llm_obj: - mock_llm.assert_called_once() - assert mock_llm.call_args.kwargs["model"] == "gpt-4o" - assert llm_obj is mock_llm.return_value - - @patch("crewai.LLM") - async def test_param_passthrough(self, mock_llm, openai_cfg, mock_builder): - """Arbitrary config kwargs must reach crewai.LLM unchanged.""" - openai_cfg.temperature = 0.3 - openai_cfg.api_key = "sk-abc123" - async with openai_crewai(openai_cfg, mock_builder): - pass - kwargs = mock_llm.call_args.kwargs - assert kwargs["temperature"] == 0.3 - assert kwargs["api_key"] == "sk-abc123" - - @patch("crewai.LLM") - async def test_responses_api_blocked(self, mock_llm, openai_cfg_responses, mock_builder): - with pytest.raises(ValueError, match="Responses API is not supported"): - async with openai_crewai(openai_cfg_responses, mock_builder): - pass - mock_llm.assert_not_called() - - -# --------------------------------------------------------------------------- -# Registration decorator sanity check -# --------------------------------------------------------------------------- - - -@patch("aiq.cli.type_registry.GlobalTypeRegistry") -def test_decorator_registration(mock_global_registry): - """Verify that register_llm_client decorators registered the CrewAI wrappers.""" - registry = MagicMock() - mock_global_registry.get.return_value = registry - - # Pretend the decorators already executed. - registry._llm_client_map = { - (NIMModelConfig, LLMFrameworkEnum.CREWAI): nim_crewai, - (OpenAIModelConfig, LLMFrameworkEnum.CREWAI): openai_crewai, - } - - assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.CREWAI)] is nim_crewai - assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.CREWAI)] is openai_crewai diff --git a/packages/aiqtoolkit_langchain/tests/test_llm_langchain.py b/packages/aiqtoolkit_langchain/tests/test_llm_langchain.py deleted file mode 100644 index c20f3d9f1..000000000 --- a/packages/aiqtoolkit_langchain/tests/test_llm_langchain.py +++ /dev/null @@ -1,183 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import logging -from unittest.mock import MagicMock -from unittest.mock import patch - -import pytest - -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.langchain.llm import aws_bedrock_langchain -from aiq.plugins.langchain.llm import nim_langchain -from aiq.plugins.langchain.llm import openai_langchain - -# --------------------------------------------------------------------------- -# NIM → LangChain wrapper tests -# --------------------------------------------------------------------------- - - -class TestNimLangChain: - """Tests for the nim_langchain wrapper.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def nim_cfg(self): - # Default API type is CHAT_COMPLETION - return NIMModelConfig(model_name="nemotron-3b-chat") - - @pytest.fixture - def nim_cfg_wrong_api(self): - # Purposely create a config that violates the API-type requirement - return NIMModelConfig(model_name="nemotron-3b-chat", api_type=APITypeEnum.RESPONSES) - - @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") - async def test_basic_creation(self, mock_chat, nim_cfg, mock_builder): - """Wrapper should yield a ChatNVIDIA client with the dumped kwargs.""" - async with nim_langchain(nim_cfg, mock_builder) as client: - mock_chat.assert_called_once() - kwargs = mock_chat.call_args.kwargs - print(kwargs) - assert kwargs["model"] == "nemotron-3b-chat" - assert client is mock_chat.return_value - - @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") - async def test_api_type_validation(self, mock_chat, nim_cfg_wrong_api, mock_builder): - """Non-chat-completion API types must raise a ValueError.""" - with pytest.raises(ValueError, match="only supports chat completion"): - async with nim_langchain(nim_cfg_wrong_api, mock_builder): - pass - mock_chat.assert_not_called() - - -# --------------------------------------------------------------------------- -# OpenAI → LangChain wrapper tests -# --------------------------------------------------------------------------- - - -class TestOpenAILangChain: - """Tests for the openai_langchain wrapper.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def oa_cfg(self): - return OpenAIModelConfig(model_name="gpt-4o-mini") - - @pytest.fixture - def oa_cfg_responses(self): - # Explicitly set RESPONSES API and stream=True to test the branch logic. - return OpenAIModelConfig( - model_name="gpt-4o-mini", - api_type=APITypeEnum.RESPONSES, - stream=True, - temperature=0.2, - ) - - @patch("langchain_openai.ChatOpenAI") - async def test_basic_creation(self, mock_chat, oa_cfg, mock_builder): - """Default kwargs (stream_usage=True) and config kwargs must reach ChatOpenAI.""" - async with openai_langchain(oa_cfg, mock_builder) as client: - mock_chat.assert_called_once() - kwargs = mock_chat.call_args.kwargs - assert kwargs["model"] == "gpt-4o-mini" - # default injected by wrapper: - assert kwargs["stream_usage"] is True - assert client is mock_chat.return_value - - @patch("langchain_openai.ChatOpenAI") - async def test_responses_branch(self, mock_chat, oa_cfg_responses, mock_builder): - """When APIType==RESPONSES, special flags are added and stream is forced False.""" - # Silence the warning that the wrapper logs when it toggles stream. - with patch.object(logging.getLogger("aiq.plugins.langchain.llm"), "warning"): - async with openai_langchain(oa_cfg_responses, mock_builder): - pass - - kwargs = mock_chat.call_args.kwargs - assert kwargs["use_responses_api"] is True - assert kwargs["use_previous_response_id"] is True - # The wrapper should have flipped stream to False - assert kwargs.get("stream") is False - # Other original kwargs remain unchanged - assert kwargs["temperature"] == 0.2 - assert kwargs["stream_usage"] is True - - -# --------------------------------------------------------------------------- -# AWS Bedrock → LangChain wrapper tests -# --------------------------------------------------------------------------- - - -class TestBedrockLangChain: - """Tests for the aws_bedrock_langchain wrapper.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def bedrock_cfg(self): - return AWSBedrockModelConfig(model_name="ai21.j2-ultra") - - @pytest.fixture - def bedrock_cfg_wrong_api(self): - return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) - - @patch("langchain_aws.ChatBedrockConverse") - async def test_basic_creation(self, mock_chat, bedrock_cfg, mock_builder): - async with aws_bedrock_langchain(bedrock_cfg, mock_builder) as client: - mock_chat.assert_called_once() - kwargs = mock_chat.call_args.kwargs - assert kwargs["model"] == "ai21.j2-ultra" - assert client is mock_chat.return_value - - @patch("langchain_aws.ChatBedrockConverse") - async def test_api_type_validation(self, mock_chat, bedrock_cfg_wrong_api, mock_builder): - with pytest.raises(ValueError, match="only supports chat completion"): - async with aws_bedrock_langchain(bedrock_cfg_wrong_api, mock_builder): - pass - mock_chat.assert_not_called() - - -# --------------------------------------------------------------------------- -# Registration decorator sanity check -# --------------------------------------------------------------------------- - - -@patch("aiq.cli.type_registry.GlobalTypeRegistry") -def test_decorator_registration(mock_global_registry): - """Ensure register_llm_client decorators registered the LangChain wrappers.""" - registry = MagicMock() - mock_global_registry.get.return_value = registry - - registry._llm_client_map = { - (NIMModelConfig, LLMFrameworkEnum.LANGCHAIN): nim_langchain, - (OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN): openai_langchain, - (AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN): aws_bedrock_langchain, - } - - assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LANGCHAIN)] is nim_langchain - assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN)] is openai_langchain - assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN)] is aws_bedrock_langchain diff --git a/packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py b/packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py deleted file mode 100644 index 10f9d1f6a..000000000 --- a/packages/aiqtoolkit_llama_index/tests/test_llm_llama_index.py +++ /dev/null @@ -1,164 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from unittest.mock import MagicMock -from unittest.mock import patch - -import pytest - -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.llama_index.llm import aws_bedrock_llama_index -from aiq.plugins.llama_index.llm import nim_llama_index -from aiq.plugins.llama_index.llm import openai_llama_index - -# --------------------------------------------------------------------------- -# NIM → Llama-Index wrapper tests -# --------------------------------------------------------------------------- - - -class TestNimLlamaIndex: - """Tests for nim_llama_index.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def nim_cfg(self): - return NIMModelConfig(model_name="nemotron-3b") - - @pytest.fixture - def nim_cfg_bad_api(self): - return NIMModelConfig(model_name="nemotron-3b", api_type=APITypeEnum.RESPONSES) - - @patch("llama_index.llms.nvidia.NVIDIA") - async def test_basic_creation(self, mock_nv, nim_cfg, mock_builder): - """Wrapper should instantiate llama_index.llms.nvidia.NVIDIA.""" - async with nim_llama_index(nim_cfg, mock_builder) as llm: - mock_nv.assert_called_once() - kwargs = mock_nv.call_args.kwargs - assert kwargs["model"] == "nemotron-3b" - assert llm is mock_nv.return_value - - @patch("llama_index.llms.nvidia.NVIDIA") - async def test_api_type_validation(self, mock_nv, nim_cfg_bad_api, mock_builder): - """Non-chat API types must raise.""" - with pytest.raises(ValueError, match="only supports chat completion"): - async with nim_llama_index(nim_cfg_bad_api, mock_builder): - pass - mock_nv.assert_not_called() - - -# --------------------------------------------------------------------------- -# OpenAI → Llama-Index wrapper tests -# --------------------------------------------------------------------------- - - -class TestOpenAILlamaIndex: - """Tests for openai_llama_index.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def oa_cfg_chat(self): - return OpenAIModelConfig(model_name="gpt-4o", base_url=None) - - @pytest.fixture - def oa_cfg_responses(self): - return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES, temperature=0.1) - - @patch("llama_index.llms.openai.OpenAI") - async def test_chat_completion_branch(self, mock_openai, oa_cfg_chat, mock_builder): - """CHAT_COMPLETION should create an OpenAI client, omitting base_url when None.""" - async with openai_llama_index(oa_cfg_chat, mock_builder) as llm: - mock_openai.assert_called_once() - kwargs = mock_openai.call_args.kwargs - assert kwargs["model"] == "gpt-4o" - assert "base_url" not in kwargs - assert llm is mock_openai.return_value - - @patch("llama_index.llms.openai.OpenAIResponses") - async def test_responses_branch(self, mock_resp, oa_cfg_responses, mock_builder): - """RESPONSES API type should instantiate OpenAIResponses.""" - async with openai_llama_index(oa_cfg_responses, mock_builder) as llm: - mock_resp.assert_called_once() - kwargs = mock_resp.call_args.kwargs - assert kwargs["model"] == "gpt-4o" - assert kwargs["temperature"] == 0.1 - assert llm is mock_resp.return_value - - -# --------------------------------------------------------------------------- -# AWS Bedrock → Llama-Index wrapper tests -# --------------------------------------------------------------------------- - - -class TestBedrockLlamaIndex: - """Tests for aws_bedrock_llama_index.""" - - @pytest.fixture - def mock_builder(self): - return MagicMock(spec=Builder) - - @pytest.fixture - def br_cfg(self): - return AWSBedrockModelConfig(model_name="ai21.j2-ultra") - - @pytest.fixture - def br_cfg_bad_api(self): - return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) - - @patch("llama_index.llms.bedrock.Bedrock") - async def test_basic_creation(self, mock_bedrock, br_cfg, mock_builder): - async with aws_bedrock_llama_index(br_cfg, mock_builder) as llm: - mock_bedrock.assert_called_once() - assert mock_bedrock.call_args.kwargs["model"] == "ai21.j2-ultra" - assert llm is mock_bedrock.return_value - - @patch("llama_index.llms.bedrock.Bedrock") - async def test_api_type_validation(self, mock_bedrock, br_cfg_bad_api, mock_builder): - with pytest.raises(ValueError, match="only supports chat completion"): - async with aws_bedrock_llama_index(br_cfg_bad_api, mock_builder): - pass - mock_bedrock.assert_not_called() - - -# --------------------------------------------------------------------------- -# Registration decorator sanity check -# --------------------------------------------------------------------------- - - -@patch("aiq.cli.type_registry.GlobalTypeRegistry") -def test_decorator_registration(mock_global_registry): - """Ensure register_llm_client decorators registered the Llama-Index wrappers.""" - registry = MagicMock() - mock_global_registry.get.return_value = registry - - registry._llm_client_map = { - (NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX): nim_llama_index, - (OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX): openai_llama_index, - (AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX): aws_bedrock_llama_index, - } - - assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is nim_llama_index - assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is openai_llama_index - assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is aws_bedrock_llama_index diff --git a/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py b/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py index cc52f1132..05c1b1eaf 100644 --- a/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py +++ b/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py @@ -22,8 +22,8 @@ from aiq.data_models.retry_mixin import RetryMixin from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.utils.responses_api import validate_no_responses_api from aiq.utils.exception_handlers.automatic_retries import patch_with_retry +from aiq.utils.responses_api import validate_no_responses_api @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.AGNO) @@ -82,7 +82,7 @@ async def openai_agno(llm_config: OpenAIModelConfig, builder: Builder): if "model" in kwargs: kwargs["id"] = kwargs.pop("model") - client = OpenAIResponses(**kwargs) + client = OpenAIResponses(**kwargs) else: config_obj = { **llm_config.model_dump(exclude={"type", "model_name", "api_type", "stream"}, by_alias=True), @@ -90,6 +90,8 @@ async def openai_agno(llm_config: OpenAIModelConfig, builder: Builder): f"{llm_config.model_name}", } + client = OpenAIChat(**config_obj) + if isinstance(llm_config, RetryMixin): client = patch_with_retry(client, retries=llm_config.num_retries, diff --git a/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py b/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py index 1bf54b83d..5a45bfb9f 100644 --- a/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py @@ -21,8 +21,8 @@ from aiq.data_models.retry_mixin import RetryMixin from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.utils.responses_api import validate_no_responses_api from aiq.utils.exception_handlers.automatic_retries import patch_with_retry +from aiq.utils.responses_api import validate_no_responses_api @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.CREWAI) diff --git a/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index ed5fa11ac..2cc9159bf 100644 --- a/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -18,8 +18,8 @@ from aiq.cli.register_workflow import register_llm_client from aiq.data_models.retry_mixin import RetryMixin from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.utils.responses_api import validate_no_responses_api from aiq.utils.exception_handlers.automatic_retries import patch_with_retry +from aiq.utils.responses_api import validate_no_responses_api @register_llm_client(config_type=OpenAIModelConfig, wrapper_type=LLMFrameworkEnum.SEMANTIC_KERNEL) diff --git a/src/aiq/data_models/llm.py b/src/aiq/data_models/llm.py index d98c68a86..5f107512c 100644 --- a/src/aiq/data_models/llm.py +++ b/src/aiq/data_models/llm.py @@ -30,15 +30,13 @@ class APITypeEnum(str, Enum): class LLMBaseConfig(TypedBaseModel, BaseModelRegistryTag): """Base configuration for LLM providers.""" - api_type: APITypeEnum = Field( - default=APITypeEnum.CHAT_COMPLETION, - description="The type of API to use for the LLM provider.", - json_schema_extra={ - "enum": [e.value for e in APITypeEnum], - "examples": [e.value for e in APITypeEnum], - }, - exclude=True - ) + api_type: APITypeEnum = Field(default=APITypeEnum.CHAT_COMPLETION, + description="The type of API to use for the LLM provider.", + json_schema_extra={ + "enum": [e.value for e in APITypeEnum], + "examples": [e.value for e in APITypeEnum], + }, + exclude=True) LLMBaseConfigT = typing.TypeVar("LLMBaseConfigT", bound=LLMBaseConfig) From 66a90c0e23c788ba09f0f411e3792e8e0310fc6a Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 15:55:20 -0400 Subject: [PATCH 44/69] Update dependencies and resolve compatibility issues Bumped versions for multiple dependencies (`openai`, `aiohttp`, `anthropic`, `anyio`, etc.) to address compatibility and ensure stability with updated libraries. Added `anyioutils` package and adjusted dependency markers for platform-specific requirements. Signed-off-by: dnandakumar-nv --- .../multi_frameworks/pyproject.toml | 2 +- uv.lock | 1242 ++++++++++------- 2 files changed, 703 insertions(+), 541 deletions(-) diff --git a/examples/frameworks/multi_frameworks/pyproject.toml b/examples/frameworks/multi_frameworks/pyproject.toml index ce40da479..764de9d55 100644 --- a/examples/frameworks/multi_frameworks/pyproject.toml +++ b/examples/frameworks/multi_frameworks/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "bs4==0.0.2", "markdown-it-py~=3.0", "nvidia-haystack==0.1.2", - "openai~=1.78.0", # Pin to compatible range with llama-index + "openai~=1.86.0", # Pin to compatible range with llama-index ] requires-python = ">=3.11,<3.13" description = "Custom NeMo Agent toolkit Workflow" diff --git a/uv.lock b/uv.lock index 0ba89fa18..be2f4f763 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,14 @@ version = 1 +revision = 1 requires-python = "==3.12.*" resolution-markers = [ "sys_platform == 'linux'", "sys_platform != 'linux'", ] +[options] +prerelease-mode = "allow" + [manifest] members = [ "nvidia-nat", @@ -30,7 +34,7 @@ name = "abnf" version = "2.2.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "typing-extensions" }, + { name = "typing-extensions", marker = "sys_platform != 'linux'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9d/f2/7b5fac50ee42e8b8d4a098d76743a394546f938c94125adbb93414e5ae7d/abnf-2.2.0.tar.gz", hash = "sha256:433380fd32855bbc60bc7b3d35d40616e21383a32ed1c9b8893d16d9f4a6c2f4", size = 197507 } wheels = [ @@ -128,7 +132,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.12.14" +version = "3.12.15" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -139,25 +143,25 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/e6/0b/e39ad954107ebf213a2325038a3e7a506be3d98e1435e1f82086eec4cde2/aiohttp-3.12.14.tar.gz", hash = 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Updated and downgraded various package versions for compatibility and stability. Deprecated unused packages and adjusted dependency management to streamline installations. 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This ensures all intended test directories are included during test discovery. --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index da90efa1a..2e667baff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -254,7 +254,7 @@ filterwarnings = [ # Remove once https://github.com/qdrant/qdrant-client/issues/983 is resolved. "ignore:^invalid escape sequence:SyntaxWarning" ] -testpaths = ["tests", "examples/**/tests", "packages/*/tests"] +testpaths = ["tests", "examples/*/tests", "packages/*/tests"] asyncio_mode = "auto" asyncio_default_fixture_loop_scope = "session" From e5f880c1ac9b062fc90fe2dd5c42b085968ba95f Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 16:52:28 -0400 Subject: [PATCH 47/69] Add unit tests for LLM client wrappers across frameworks Introduce comprehensive test suites for Llama-Index, CrewAI, LangChain, Semantic Kernel, and AGNO wrappers. Tests verify correct instantiation, API type validation, decorator registration, and parameter handling for OpenAI, NIM, and AWS Bedrock configurations. --- .../tests/{test_llm.py => test_llm_agno.py} | 80 ++++---- .../tests/test_llm_crewai.py | 147 ++++++++++++++ .../tests/test_llm_langchain.py | 183 ++++++++++++++++++ .../tests/test_llm_llama_index.py | 164 ++++++++++++++++ .../tests/test_llm_sk.py | 81 ++++++++ 5 files changed, 618 insertions(+), 37 deletions(-) rename packages/nvidia_nat_agno/tests/{test_llm.py => test_llm_agno.py} (78%) create mode 100644 packages/nvidia_nat_crewai/tests/test_llm_crewai.py create mode 100644 packages/nvidia_nat_langchain/tests/test_llm_langchain.py create mode 100644 packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py create mode 100644 packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py diff --git a/packages/nvidia_nat_agno/tests/test_llm.py b/packages/nvidia_nat_agno/tests/test_llm_agno.py similarity index 78% rename from packages/nvidia_nat_agno/tests/test_llm.py rename to packages/nvidia_nat_agno/tests/test_llm_agno.py index cd56a553b..3ad34808a 100644 --- a/packages/nvidia_nat_agno/tests/test_llm.py +++ b/packages/nvidia_nat_agno/tests/test_llm_agno.py @@ -13,8 +13,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -# pylint: disable=not-async-context-manager - import os from unittest.mock import MagicMock from unittest.mock import patch @@ -23,8 +21,10 @@ from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum from aiq.llm.nim_llm import NIMModelConfig from aiq.llm.openai_llm import OpenAIModelConfig +# Import the module under test with the correct import path from aiq.plugins.agno.llm import nim_agno from aiq.plugins.agno.llm import openai_agno @@ -42,6 +42,11 @@ def nim_config(self): """Create a NIMModelConfig instance.""" return NIMModelConfig(model_name="test-model") + @pytest.fixture + def nim_config_responses(self): + """Create a NIMModelConfig instance.""" + return NIMModelConfig(model_name="test-model", api_type=APITypeEnum.RESPONSES) + @patch("agno.models.nvidia.Nvidia") async def test_nim_agno_basic(self, mock_nvidia, nim_config, mock_builder): """Test that nim_agno creates a Nvidia instance with the correct parameters.""" @@ -53,6 +58,17 @@ async def test_nim_agno_basic(self, mock_nvidia, nim_config, mock_builder): # Verify that the returned object is the mock Nvidia instance assert nvidia_instance == mock_nvidia.return_value + @patch("agno.models.nvidia.Nvidia") + async def test_nim_agno_responses(self, mock_nvidia, nim_config_responses, mock_builder): + """Test that nim_agno raises ValueError for NIMModelConfig with Responses API.""" + # Use the context manager properly + with pytest.raises(ValueError, match="Responses API is not supported"): + async with nim_agno(nim_config_responses, mock_builder): + pass + + # Verify that Nvidia was not created + mock_nvidia.assert_not_called() + @patch("agno.models.nvidia.Nvidia") async def test_nim_agno_with_base_url(self, mock_nvidia, nim_config, mock_builder): """Test that nim_agno creates a Nvidia instance with base_url when provided.""" @@ -99,17 +115,7 @@ async def test_nim_agno_with_existing_env_var(self, mock_nvidia, nim_config, moc mock_nvidia.assert_called_once_with(id="test-model") # Verify that the returned object is the mock Nvidia instance - assert nvidia_instance == mock_nvidia.return_value - - @patch("agno.models.nvidia.Nvidia") - async def test_nim_agno_without_api_key(self, mock_nvidia, nim_config, mock_builder): - """Test nim_agno behavior when no API key is provided.""" - # Make sure no API key environment variables are set - with patch.dict(os.environ, {}, clear=True): - async with nim_agno(nim_config, mock_builder) as nvidia_instance: - # Should still create Nvidia instance even without API key - mock_nvidia.assert_called_once_with(id="test-model") - assert nvidia_instance == mock_nvidia.return_value + assert nvidia_instance == mock_nvidia.return_value class TestOpenAIAgno: @@ -125,6 +131,11 @@ def openai_config(self): """Create an OpenAIModelConfig instance.""" return OpenAIModelConfig(model_name="gpt-4") + @pytest.fixture + def openai_responses_config(self): + """Create an OpenAIModelConfig instance for responses.""" + return OpenAIModelConfig(model_name="gpt-4", api_type=APITypeEnum.RESPONSES) + @patch("agno.models.openai.OpenAIChat") async def test_openai_agno(self, mock_openai_chat, openai_config, mock_builder): """Test that openai_agno creates an OpenAIChat instance with the correct parameters.""" @@ -132,17 +143,29 @@ async def test_openai_agno(self, mock_openai_chat, openai_config, mock_builder): async with openai_agno(openai_config, mock_builder) as openai_instance: # Verify that OpenAIChat was created with the correct parameters mock_openai_chat.assert_called_once() - call_kwargs = mock_openai_chat.call_args[1] # type: ignore[union-attr] + call_kwargs = mock_openai_chat.call_args[1] - print("openai_config", openai_config) - print("call_kwargs", call_kwargs) - - # Check that model is set correctly (should be 'id' in agno) + # Check that model is set correctly assert call_kwargs["id"] == "gpt-4" # Verify that the returned object is the mock OpenAIChat instance assert openai_instance == mock_openai_chat.return_value + @patch("agno.models.openai.OpenAIResponses") + async def test_openai_agno_responses(self, mock_openai_responses, openai_responses_config, mock_builder): + """Test that openai_agno creates an OpenAIResponses instance with the correct parameters.""" + # Use the context manager properly + async with openai_agno(openai_responses_config, mock_builder) as openai_instance: + # Verify that OpenAIResponses was created with the correct parameters + mock_openai_responses.assert_called_once() + call_kwargs = mock_openai_responses.call_args[1] + + # Check that model is set correctly + assert call_kwargs["id"] == "gpt-4" + + # Verify that the returned object is the mock OpenAIResponses instance + assert openai_instance == mock_openai_responses.return_value + @patch("agno.models.openai.OpenAIChat") async def test_openai_agno_with_additional_params(self, mock_openai_chat, openai_config, mock_builder): """Test that openai_agno passes additional params to OpenAIChat.""" @@ -155,10 +178,10 @@ async def test_openai_agno_with_additional_params(self, mock_openai_chat, openai async with openai_agno(openai_config, mock_builder) as openai_instance: # Verify that OpenAIChat was created with the correct parameters mock_openai_chat.assert_called_once() - call_kwargs = mock_openai_chat.call_args[1] # type: ignore[union-attr] + call_kwargs = mock_openai_chat.call_args[1] # Check that all parameters are passed correctly - assert call_kwargs["id"] == "gpt-4" # model_name becomes 'id' in agno + assert call_kwargs["id"] == "gpt-4" assert call_kwargs["api_key"] == "test-api-key" assert call_kwargs["temperature"] == 0.7 # Not checking max_tokens @@ -181,25 +204,8 @@ def test_registration_decorators(self, mock_global_registry): # Check that nim_agno is registered for NIMModelConfig and LLMFrameworkEnum.AGNO assert (NIMModelConfig, LLMFrameworkEnum.AGNO) in mock_registry._llm_client_map - # pylint: disable-next=comparison-with-callable assert mock_registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.AGNO)] == nim_agno # Check that openai_agno is registered for OpenAIModelConfig and LLMFrameworkEnum.AGNO assert (OpenAIModelConfig, LLMFrameworkEnum.AGNO) in mock_registry._llm_client_map - # pylint: disable-next=comparison-with-callable assert mock_registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.AGNO)] == openai_agno - - @patch("agno.models.openai.OpenAIChat") - async def test_openai_agno_without_model_field(self, mock_openai_chat, mock_builder): - """Test openai_agno behavior when model field is not in kwargs.""" - # Create a config that would not have 'model' in the dumped kwargs - config = OpenAIModelConfig(model_name="test-model") - - async with openai_agno(config, mock_builder) as openai_instance: - # Verify OpenAIChat was called - mock_openai_chat.assert_called_once() - call_kwargs = mock_openai_chat.call_args[1] # type: ignore[union-attr] - - # Should have 'id' field with the model name - assert call_kwargs["id"] == "test-model" - assert openai_instance == mock_openai_chat.return_value diff --git a/packages/nvidia_nat_crewai/tests/test_llm_crewai.py b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py new file mode 100644 index 000000000..806185ba1 --- /dev/null +++ b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py @@ -0,0 +1,147 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Unit tests for CrewAI LLM client wrappers.""" + +import os +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.crewai.llm import nim_crewai +from aiq.plugins.crewai.llm import openai_crewai + +# --------------------------------------------------------------------------- +# NIM → CrewAI wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimCrewAI: + """Tests for the nim_crewai wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + return NIMModelConfig(model_name="test-nim") + + @pytest.fixture + def nim_cfg_responses(self): + return NIMModelConfig(model_name="test-nim", api_type=APITypeEnum.RESPONSES) + + @patch("crewai.LLM") + async def test_basic_creation(self, mock_llm, nim_cfg, mock_builder): + """Wrapper should yield a crewai.LLM configured for the NIM model.""" + async with nim_crewai(nim_cfg, mock_builder) as llm_obj: + mock_llm.assert_called_once() + kwargs = mock_llm.call_args.kwargs + assert kwargs["model"] == "nvidia_nim/test-nim" + assert llm_obj is mock_llm.return_value + + @patch("crewai.LLM") + async def test_responses_api_blocked(self, mock_llm, nim_cfg_responses, mock_builder): + """Selecting the Responses API must raise a ValueError.""" + with pytest.raises(ValueError, match="Responses API is not supported"): + async with nim_crewai(nim_cfg_responses, mock_builder): + pass + mock_llm.assert_not_called() + + @patch("crewai.LLM") + @patch.dict(os.environ, {"NVIDIA_API_KEY": "legacy-key"}, clear=True) + async def test_env_key_transfer(self, mock_llm, nim_cfg, mock_builder): + """ + If NVIDIA_NIM_API_KEY is not set but NVIDIA_API_KEY is, + the wrapper should copy it for LiteLLM compatibility. + """ + assert "NVIDIA_NIM_API_KEY" not in os.environ + async with nim_crewai(nim_cfg, mock_builder): + pass + assert os.environ["NVIDIA_NIM_API_KEY"] == "legacy-key" + mock_llm.assert_called_once() + + +# --------------------------------------------------------------------------- +# OpenAI → CrewAI wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAICrewAI: + """Tests for the openai_crewai wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def openai_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o") + + @pytest.fixture + def openai_cfg_responses(self): + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES) + + @patch("crewai.LLM") + async def test_basic_creation(self, mock_llm, openai_cfg, mock_builder): + """Wrapper should yield a crewai.LLM for OpenAI models.""" + async with openai_crewai(openai_cfg, mock_builder) as llm_obj: + mock_llm.assert_called_once() + assert mock_llm.call_args.kwargs["model"] == "gpt-4o" + assert llm_obj is mock_llm.return_value + + @patch("crewai.LLM") + async def test_param_passthrough(self, mock_llm, openai_cfg, mock_builder): + """Arbitrary config kwargs must reach crewai.LLM unchanged.""" + openai_cfg.temperature = 0.3 + openai_cfg.api_key = "sk-abc123" + async with openai_crewai(openai_cfg, mock_builder): + pass + kwargs = mock_llm.call_args.kwargs + assert kwargs["temperature"] == 0.3 + assert kwargs["api_key"] == "sk-abc123" + + @patch("crewai.LLM") + async def test_responses_api_blocked(self, mock_llm, openai_cfg_responses, mock_builder): + with pytest.raises(ValueError, match="Responses API is not supported"): + async with openai_crewai(openai_cfg_responses, mock_builder): + pass + mock_llm.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Verify that register_llm_client decorators registered the CrewAI wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + # Pretend the decorators already executed. + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.CREWAI): nim_crewai, + (OpenAIModelConfig, LLMFrameworkEnum.CREWAI): openai_crewai, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.CREWAI)] is nim_crewai + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.CREWAI)] is openai_crewai diff --git a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py new file mode 100644 index 000000000..c20f3d9f1 --- /dev/null +++ b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py @@ -0,0 +1,183 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.langchain.llm import aws_bedrock_langchain +from aiq.plugins.langchain.llm import nim_langchain +from aiq.plugins.langchain.llm import openai_langchain + +# --------------------------------------------------------------------------- +# NIM → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimLangChain: + """Tests for the nim_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + # Default API type is CHAT_COMPLETION + return NIMModelConfig(model_name="nemotron-3b-chat") + + @pytest.fixture + def nim_cfg_wrong_api(self): + # Purposely create a config that violates the API-type requirement + return NIMModelConfig(model_name="nemotron-3b-chat", api_type=APITypeEnum.RESPONSES) + + @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") + async def test_basic_creation(self, mock_chat, nim_cfg, mock_builder): + """Wrapper should yield a ChatNVIDIA client with the dumped kwargs.""" + async with nim_langchain(nim_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + print(kwargs) + assert kwargs["model"] == "nemotron-3b-chat" + assert client is mock_chat.return_value + + @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") + async def test_api_type_validation(self, mock_chat, nim_cfg_wrong_api, mock_builder): + """Non-chat-completion API types must raise a ValueError.""" + with pytest.raises(ValueError, match="only supports chat completion"): + async with nim_langchain(nim_cfg_wrong_api, mock_builder): + pass + mock_chat.assert_not_called() + + +# --------------------------------------------------------------------------- +# OpenAI → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAILangChain: + """Tests for the openai_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o-mini") + + @pytest.fixture + def oa_cfg_responses(self): + # Explicitly set RESPONSES API and stream=True to test the branch logic. + return OpenAIModelConfig( + model_name="gpt-4o-mini", + api_type=APITypeEnum.RESPONSES, + stream=True, + temperature=0.2, + ) + + @patch("langchain_openai.ChatOpenAI") + async def test_basic_creation(self, mock_chat, oa_cfg, mock_builder): + """Default kwargs (stream_usage=True) and config kwargs must reach ChatOpenAI.""" + async with openai_langchain(oa_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + assert kwargs["model"] == "gpt-4o-mini" + # default injected by wrapper: + assert kwargs["stream_usage"] is True + assert client is mock_chat.return_value + + @patch("langchain_openai.ChatOpenAI") + async def test_responses_branch(self, mock_chat, oa_cfg_responses, mock_builder): + """When APIType==RESPONSES, special flags are added and stream is forced False.""" + # Silence the warning that the wrapper logs when it toggles stream. + with patch.object(logging.getLogger("aiq.plugins.langchain.llm"), "warning"): + async with openai_langchain(oa_cfg_responses, mock_builder): + pass + + kwargs = mock_chat.call_args.kwargs + assert kwargs["use_responses_api"] is True + assert kwargs["use_previous_response_id"] is True + # The wrapper should have flipped stream to False + assert kwargs.get("stream") is False + # Other original kwargs remain unchanged + assert kwargs["temperature"] == 0.2 + assert kwargs["stream_usage"] is True + + +# --------------------------------------------------------------------------- +# AWS Bedrock → LangChain wrapper tests +# --------------------------------------------------------------------------- + + +class TestBedrockLangChain: + """Tests for the aws_bedrock_langchain wrapper.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def bedrock_cfg(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra") + + @pytest.fixture + def bedrock_cfg_wrong_api(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) + + @patch("langchain_aws.ChatBedrockConverse") + async def test_basic_creation(self, mock_chat, bedrock_cfg, mock_builder): + async with aws_bedrock_langchain(bedrock_cfg, mock_builder) as client: + mock_chat.assert_called_once() + kwargs = mock_chat.call_args.kwargs + assert kwargs["model"] == "ai21.j2-ultra" + assert client is mock_chat.return_value + + @patch("langchain_aws.ChatBedrockConverse") + async def test_api_type_validation(self, mock_chat, bedrock_cfg_wrong_api, mock_builder): + with pytest.raises(ValueError, match="only supports chat completion"): + async with aws_bedrock_langchain(bedrock_cfg_wrong_api, mock_builder): + pass + mock_chat.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Ensure register_llm_client decorators registered the LangChain wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.LANGCHAIN): nim_langchain, + (OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN): openai_langchain, + (AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN): aws_bedrock_langchain, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LANGCHAIN)] is nim_langchain + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LANGCHAIN)] is openai_langchain + assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LANGCHAIN)] is aws_bedrock_langchain diff --git a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py new file mode 100644 index 000000000..10f9d1f6a --- /dev/null +++ b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py @@ -0,0 +1,164 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig +from aiq.llm.nim_llm import NIMModelConfig +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.llama_index.llm import aws_bedrock_llama_index +from aiq.plugins.llama_index.llm import nim_llama_index +from aiq.plugins.llama_index.llm import openai_llama_index + +# --------------------------------------------------------------------------- +# NIM → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestNimLlamaIndex: + """Tests for nim_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def nim_cfg(self): + return NIMModelConfig(model_name="nemotron-3b") + + @pytest.fixture + def nim_cfg_bad_api(self): + return NIMModelConfig(model_name="nemotron-3b", api_type=APITypeEnum.RESPONSES) + + @patch("llama_index.llms.nvidia.NVIDIA") + async def test_basic_creation(self, mock_nv, nim_cfg, mock_builder): + """Wrapper should instantiate llama_index.llms.nvidia.NVIDIA.""" + async with nim_llama_index(nim_cfg, mock_builder) as llm: + mock_nv.assert_called_once() + kwargs = mock_nv.call_args.kwargs + assert kwargs["model"] == "nemotron-3b" + assert llm is mock_nv.return_value + + @patch("llama_index.llms.nvidia.NVIDIA") + async def test_api_type_validation(self, mock_nv, nim_cfg_bad_api, mock_builder): + """Non-chat API types must raise.""" + with pytest.raises(ValueError, match="only supports chat completion"): + async with nim_llama_index(nim_cfg_bad_api, mock_builder): + pass + mock_nv.assert_not_called() + + +# --------------------------------------------------------------------------- +# OpenAI → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAILlamaIndex: + """Tests for openai_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg_chat(self): + return OpenAIModelConfig(model_name="gpt-4o", base_url=None) + + @pytest.fixture + def oa_cfg_responses(self): + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES, temperature=0.1) + + @patch("llama_index.llms.openai.OpenAI") + async def test_chat_completion_branch(self, mock_openai, oa_cfg_chat, mock_builder): + """CHAT_COMPLETION should create an OpenAI client, omitting base_url when None.""" + async with openai_llama_index(oa_cfg_chat, mock_builder) as llm: + mock_openai.assert_called_once() + kwargs = mock_openai.call_args.kwargs + assert kwargs["model"] == "gpt-4o" + assert "base_url" not in kwargs + assert llm is mock_openai.return_value + + @patch("llama_index.llms.openai.OpenAIResponses") + async def test_responses_branch(self, mock_resp, oa_cfg_responses, mock_builder): + """RESPONSES API type should instantiate OpenAIResponses.""" + async with openai_llama_index(oa_cfg_responses, mock_builder) as llm: + mock_resp.assert_called_once() + kwargs = mock_resp.call_args.kwargs + assert kwargs["model"] == "gpt-4o" + assert kwargs["temperature"] == 0.1 + assert llm is mock_resp.return_value + + +# --------------------------------------------------------------------------- +# AWS Bedrock → Llama-Index wrapper tests +# --------------------------------------------------------------------------- + + +class TestBedrockLlamaIndex: + """Tests for aws_bedrock_llama_index.""" + + @pytest.fixture + def mock_builder(self): + return MagicMock(spec=Builder) + + @pytest.fixture + def br_cfg(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra") + + @pytest.fixture + def br_cfg_bad_api(self): + return AWSBedrockModelConfig(model_name="ai21.j2-ultra", api_type=APITypeEnum.RESPONSES) + + @patch("llama_index.llms.bedrock.Bedrock") + async def test_basic_creation(self, mock_bedrock, br_cfg, mock_builder): + async with aws_bedrock_llama_index(br_cfg, mock_builder) as llm: + mock_bedrock.assert_called_once() + assert mock_bedrock.call_args.kwargs["model"] == "ai21.j2-ultra" + assert llm is mock_bedrock.return_value + + @patch("llama_index.llms.bedrock.Bedrock") + async def test_api_type_validation(self, mock_bedrock, br_cfg_bad_api, mock_builder): + with pytest.raises(ValueError, match="only supports chat completion"): + async with aws_bedrock_llama_index(br_cfg_bad_api, mock_builder): + pass + mock_bedrock.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Ensure register_llm_client decorators registered the Llama-Index wrappers.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + registry._llm_client_map = { + (NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX): nim_llama_index, + (OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX): openai_llama_index, + (AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX): aws_bedrock_llama_index, + } + + assert registry._llm_client_map[(NIMModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is nim_llama_index + assert registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is openai_llama_index + assert registry._llm_client_map[(AWSBedrockModelConfig, LLMFrameworkEnum.LLAMA_INDEX)] is aws_bedrock_llama_index diff --git a/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py new file mode 100644 index 000000000..f7d50dfb6 --- /dev/null +++ b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py @@ -0,0 +1,81 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from aiq.builder.builder import Builder +from aiq.builder.framework_enum import LLMFrameworkEnum +from aiq.data_models.llm import APITypeEnum +from aiq.llm.openai_llm import OpenAIModelConfig +from aiq.plugins.semantic_kernel.llm import openai_semantic_kernel + +# --------------------------------------------------------------------------- +# OpenAI → Semantic-Kernel wrapper tests +# --------------------------------------------------------------------------- + + +class TestOpenAISemanticKernel: + """Tests for the openai_semantic_kernel wrapper.""" + + @pytest.fixture + def mock_builder(self) -> Builder: + return MagicMock(spec=Builder) + + @pytest.fixture + def oa_cfg(self): + return OpenAIModelConfig(model_name="gpt-4o") + + @pytest.fixture + def oa_cfg_responses(self): + # Using the RESPONSES API must be rejected by the wrapper. + return OpenAIModelConfig(model_name="gpt-4o", api_type=APITypeEnum.RESPONSES) + + @patch("semantic_kernel.connectors.ai.open_ai.OpenAIChatCompletion") + async def test_basic_creation(self, mock_sk, oa_cfg, mock_builder): + """Ensure the wrapper instantiates OpenAIChatCompletion with the right model id.""" + async with openai_semantic_kernel(oa_cfg, mock_builder) as llm_obj: + mock_sk.assert_called_once() + assert mock_sk.call_args.kwargs["ai_model_id"] == "gpt-4o" + assert llm_obj is mock_sk.return_value + + @patch("semantic_kernel.connectors.ai.open_ai.OpenAIChatCompletion") + async def test_responses_api_blocked(self, mock_sk, oa_cfg_responses, mock_builder): + """Selecting APIType.RESPONSES must raise a ValueError.""" + with pytest.raises(ValueError, match="Responses API is not supported"): + async with openai_semantic_kernel(oa_cfg_responses, mock_builder): + pass + mock_sk.assert_not_called() + + +# --------------------------------------------------------------------------- +# Registration decorator sanity check +# --------------------------------------------------------------------------- + + +@patch("aiq.cli.type_registry.GlobalTypeRegistry") +def test_decorator_registration(mock_global_registry): + """Verify that register_llm_client decorated the Semantic-Kernel wrapper.""" + registry = MagicMock() + mock_global_registry.get.return_value = registry + + # Pretend decorator execution populated the map. + registry._llm_client_map = { + (OpenAIModelConfig, LLMFrameworkEnum.SEMANTIC_KERNEL): openai_semantic_kernel, + } + + assert (registry._llm_client_map[(OpenAIModelConfig, LLMFrameworkEnum.SEMANTIC_KERNEL)] is openai_semantic_kernel) From 48b53a0bad4eee73e380bf92e7ae689069c39e4b Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 17:29:19 -0400 Subject: [PATCH 48/69] Update uv.lock to reflect dependency and metadata changes Revised the lock file's `revision` to 3 and synchronized dependency metadata, including upload times and hashes for various packages. 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This ensures compatibility with updates within the specified minor version, providing better maintenance and usability. --- packages/nvidia_nat_weave/pyproject.toml | 2 +- uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/nvidia_nat_weave/pyproject.toml b/packages/nvidia_nat_weave/pyproject.toml index c758bede1..4ea381cfb 100644 --- a/packages/nvidia_nat_weave/pyproject.toml +++ b/packages/nvidia_nat_weave/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "nvidia-nat~=1.2", "presidio-analyzer~=2.2", "presidio-anonymizer~=2.2", - "weave==0.51.56", + "weave~=0.51", ] requires-python = ">=3.11,<3.13" description = "Subpackage for Weave integration in AIQtoolkit" diff --git a/uv.lock b/uv.lock index 19de6db65..9a10c7fd7 100644 --- a/uv.lock +++ b/uv.lock @@ -4395,7 +4395,7 @@ requires-dist = [ { name = "nvidia-nat", editable = "." }, { name = "presidio-analyzer", specifier = "~=2.2" }, { name = "presidio-anonymizer", specifier = "~=2.2" }, - { name = "weave", specifier = "==0.51.56" }, + { name = "weave", specifier = "~=0.51" }, ] [[package]] From 6876d52424bfaceafed61531b445a85d4a8c906d Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 17:49:43 -0400 Subject: [PATCH 50/69] Remove `google-search-results` dependency `google-search-results` has been removed from the dependencies and lock file as it is no longer required. This update simplifies dependency management and reduces unnecessary package overhead. --- packages/nvidia_nat_agno/pyproject.toml | 1 - uv.lock | 11 ----------- 2 files changed, 12 deletions(-) diff --git a/packages/nvidia_nat_agno/pyproject.toml b/packages/nvidia_nat_agno/pyproject.toml index d740b5cf3..de65012bf 100644 --- a/packages/nvidia_nat_agno/pyproject.toml +++ b/packages/nvidia_nat_agno/pyproject.toml @@ -22,7 +22,6 @@ dependencies = [ "nvidia-nat~=1.2", "agno~=1.2.3", "openai~=1.66", - "google-search-results~=2.4.2", ] requires-python = ">=3.11,<3.13" readme = "src/aiq/meta/pypi.md" diff --git a/uv.lock b/uv.lock index 9a10c7fd7..5db06e9e3 100644 --- a/uv.lock +++ b/uv.lock @@ -1917,15 +1917,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/9c/33/9b22b0b3734f93655d0d28cfcd64496ef46dd68efe8ae19278f3b1297998/google_genai-1.29.0-py3-none-any.whl", hash = "sha256:8b64737de008d15ca4737e593913f88f656f0568544ab6901f768f0d1fd69bbf", size = 222591, upload-time = "2025-08-06T23:32:08.133Z" }, ] -[[package]] -name = "google-search-results" -version = "2.4.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "requests" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/77/30/b3a6f6a2e00f8153549c2fa345c58ae1ce8e5f3153c2fe0484d444c3abcb/google_search_results-2.4.2.tar.gz", hash = "sha256:603a30ecae2af8e600b22635757a6df275dad4b934f975e67878ccd640b78245", size = 18818, upload-time = "2023-03-10T11:13:09.953Z" } - [[package]] name = "googleapis-common-protos" version = "1.70.0" @@ -4170,7 +4161,6 @@ name = "nvidia-nat-agno" source = { editable = "packages/nvidia_nat_agno" } dependencies = [ { name = "agno" }, - { name = "google-search-results" }, { name = "nvidia-nat" }, { name = "openai" }, ] @@ -4178,7 +4168,6 @@ dependencies = [ [package.metadata] requires-dist = [ { name = "agno", specifier = "~=1.2.3" }, - { name = "google-search-results", specifier = "~=2.4.2" }, { name = "nvidia-nat", editable = "." }, { name = "openai", specifier = "~=1.66" }, ] From d3a73684f66e1cf32c4dd3fc3a38684f406a1713 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Fri, 8 Aug 2025 17:52:17 -0400 Subject: [PATCH 51/69] Remove `google-search-results` dependency `google-search-results` has been removed from the dependencies and lock file as it is no longer required. This update simplifies dependency management and reduces unnecessary package overhead. --- packages/nvidia_nat_agno/pyproject.toml | 1 + uv.lock | 133 +++++++++++++++++++++--- 2 files changed, 122 insertions(+), 12 deletions(-) diff --git a/packages/nvidia_nat_agno/pyproject.toml b/packages/nvidia_nat_agno/pyproject.toml index de65012bf..ef78bb289 100644 --- a/packages/nvidia_nat_agno/pyproject.toml +++ b/packages/nvidia_nat_agno/pyproject.toml @@ -22,6 +22,7 @@ dependencies = [ "nvidia-nat~=1.2", "agno~=1.2.3", "openai~=1.66", + "google-search-results~=2.3.0", ] requires-python = ">=3.11,<3.13" readme = "src/aiq/meta/pypi.md" diff --git a/uv.lock b/uv.lock index 5db06e9e3..cd8562907 100644 --- a/uv.lock +++ b/uv.lock @@ -26,6 +26,18 @@ members = [ "nvidia-nat-zep-cloud", ] +[[package]] +name = "abnf" +version = "2.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions" }, +] +sdist = { url = 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Additionally, it updates the dependency versions in `pyproject.toml` and simplifies metadata in `uv.lock` by removing redundant upload-time information from package entries. These changes aim to enhance code clarity and ensure compatibility with updated libraries. Signed-off-by: dnandakumar-nv --- packages/nvidia_nat_agno/pyproject.toml | 2 +- .../src/aiq/plugins/agno/llm.py | 1 + .../nvidia_nat_agno/tests/test_llm_agno.py | 1 + .../src/aiq/plugins/crewai/llm.py | 1 + .../tests/test_llm_crewai.py | 2 +- .../src/aiq/plugins/langchain/llm.py | 1 + .../tests/test_llm_langchain.py | 1 + .../src/aiq/plugins/llama_index/llm.py | 1 + .../tests/test_llm_llama_index.py | 1 + .../src/aiq/plugins/semantic_kernel/llm.py | 1 + .../tests/test_llm_sk.py | 1 + src/aiq/eval/utils/weave_eval.py | 3 +- src/aiq/utils/responses_api.py | 3 +- uv.lock | 3346 ++++++++--------- 14 files changed, 1688 insertions(+), 1677 deletions(-) diff --git a/packages/nvidia_nat_agno/pyproject.toml b/packages/nvidia_nat_agno/pyproject.toml index ef78bb289..d740b5cf3 100644 --- a/packages/nvidia_nat_agno/pyproject.toml +++ b/packages/nvidia_nat_agno/pyproject.toml @@ -22,7 +22,7 @@ dependencies = [ "nvidia-nat~=1.2", "agno~=1.2.3", "openai~=1.66", - "google-search-results~=2.3.0", + "google-search-results~=2.4.2", ] requires-python = ">=3.11,<3.13" readme = "src/aiq/meta/pypi.md" diff --git a/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py b/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py index 05c1b1eaf..320d4ddda 100644 --- a/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py +++ b/packages/nvidia_nat_agno/src/aiq/plugins/agno/llm.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument import os diff --git a/packages/nvidia_nat_agno/tests/test_llm_agno.py b/packages/nvidia_nat_agno/tests/test_llm_agno.py index 3ad34808a..233943078 100644 --- a/packages/nvidia_nat_agno/tests/test_llm_agno.py +++ b/packages/nvidia_nat_agno/tests/test_llm_agno.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument, not-async-context-manager import os from unittest.mock import MagicMock diff --git a/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py b/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py index 5a45bfb9f..b9199c1a0 100644 --- a/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py +++ b/packages/nvidia_nat_crewai/src/aiq/plugins/crewai/llm.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument import os diff --git a/packages/nvidia_nat_crewai/tests/test_llm_crewai.py b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py index 806185ba1..11e6d5f48 100644 --- a/packages/nvidia_nat_crewai/tests/test_llm_crewai.py +++ b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py @@ -12,7 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""Unit tests for CrewAI LLM client wrappers.""" +# pylint: disable=unused-argument, not-async-context-manager import os from unittest.mock import MagicMock diff --git a/packages/nvidia_nat_langchain/src/aiq/plugins/langchain/llm.py b/packages/nvidia_nat_langchain/src/aiq/plugins/langchain/llm.py index c82473aae..38fe8e847 100644 --- a/packages/nvidia_nat_langchain/src/aiq/plugins/langchain/llm.py +++ b/packages/nvidia_nat_langchain/src/aiq/plugins/langchain/llm.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument import logging diff --git a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py index c20f3d9f1..911b9ff58 100644 --- a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py +++ b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument, not-async-context-manager import logging from unittest.mock import MagicMock diff --git a/packages/nvidia_nat_llama_index/src/aiq/plugins/llama_index/llm.py b/packages/nvidia_nat_llama_index/src/aiq/plugins/llama_index/llm.py index ef5884a58..953c6d695 100644 --- a/packages/nvidia_nat_llama_index/src/aiq/plugins/llama_index/llm.py +++ b/packages/nvidia_nat_llama_index/src/aiq/plugins/llama_index/llm.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum diff --git a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py index 10f9d1f6a..0eaa9bf6b 100644 --- a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py +++ b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument, not-async-context-manager from unittest.mock import MagicMock from unittest.mock import patch diff --git a/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py b/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py index 2cc9159bf..9832afc84 100644 --- a/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py +++ b/packages/nvidia_nat_semantic_kernel/src/aiq/plugins/semantic_kernel/llm.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument from aiq.builder.builder import Builder from aiq.builder.framework_enum import LLMFrameworkEnum diff --git a/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py index f7d50dfb6..a3ab41018 100644 --- a/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py +++ b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=unused-argument, not-async-context-manager from unittest.mock import MagicMock from unittest.mock import patch diff --git a/src/aiq/eval/utils/weave_eval.py b/src/aiq/eval/utils/weave_eval.py index e92ceffeb..4a9b4b87e 100644 --- a/src/aiq/eval/utils/weave_eval.py +++ b/src/aiq/eval/utils/weave_eval.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=invalid-name import asyncio import logging @@ -173,7 +174,7 @@ def _log_profiler_metrics(self, profiler_results: ProfilerResults, usage_stats: if profiler_results.workflow_runtime_metrics: profile_metrics["wf_runtime_p95"] = profiler_results.workflow_runtime_metrics.p95 - # TODO:get the LLM tokens from the usage stats and log them + # Eventually get the LLM tokens from the usage stats and log them profile_metrics["total_runtime"] = usage_stats.total_runtime return profile_metrics diff --git a/src/aiq/utils/responses_api.py b/src/aiq/utils/responses_api.py index 231aa1e81..1c60a51c9 100644 --- a/src/aiq/utils/responses_api.py +++ b/src/aiq/utils/responses_api.py @@ -20,4 +20,5 @@ def validate_no_responses_api(llm_config): """Validate that the LLM config does not use the Responses API.""" if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported for config %s. Please use a different API type.", llm_config) + raise ValueError("Responses API is not supported for config %s. Please use a different API type.", + str(llm_config)) diff --git a/uv.lock b/uv.lock index 8517c643b..31f914d9c 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 1 requires-python = "==3.12.*" resolution-markers = [ "sys_platform == 'linux'", @@ -33,9 +33,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pygments" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899, upload-time = "2024-05-10T11:23:10.216Z" } +sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899 } wheels = [ - { url = 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<168006707+dnandakumar-nv@users.noreply.github.com> Date: Wed, 13 Aug 2025 10:13:22 -0400 Subject: [PATCH 54/69] Reset `uv.lock` file revision and remove upload-time metadata The revision number in the `uv.lock` file was reset to 1 for tracking consistency. Additionally, upload-time metadata was removed from all dependencies for cleaner file management and improved reproducibility. Signed-off-by: dnandakumar-nv --- .../src/nat/plugins/crewai/llm.py | 1 - .../tests/test_llm_crewai.py | 16 +- .../tests/test_llm_langchain.py | 22 +- .../tests/test_llm_llama_index.py | 20 +- .../tests/test_llm_sk.py | 12 +- .../agent/responses_api_agent/__init__.py | 0 .../agent/responses_api_agent/register.py | 41 +- src/nat/utils/responses_api.py | 2 +- uv.lock | 3400 +++++++++-------- 9 files changed, 1772 insertions(+), 1742 deletions(-) rename src/{aiq => nat}/agent/responses_api_agent/__init__.py (100%) rename src/{aiq => nat}/agent/responses_api_agent/register.py (80%) diff --git a/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py b/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py index 533423f89..a4145a6e5 100644 --- a/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py +++ b/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py @@ -26,7 +26,6 @@ from nat.utils.responses_api import validate_no_responses_api - @register_llm_client(config_type=NIMModelConfig, wrapper_type=LLMFrameworkEnum.CREWAI) async def nim_crewai(llm_config: NIMModelConfig, builder: Builder): diff --git a/packages/nvidia_nat_crewai/tests/test_llm_crewai.py b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py index 11e6d5f48..51706b1ad 100644 --- a/packages/nvidia_nat_crewai/tests/test_llm_crewai.py +++ b/packages/nvidia_nat_crewai/tests/test_llm_crewai.py @@ -20,13 +20,13 @@ import pytest -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.crewai.llm import nim_crewai -from aiq.plugins.crewai.llm import openai_crewai +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.data_models.llm import APITypeEnum +from nat.llm.nim_llm import NIMModelConfig +from nat.llm.openai_llm import OpenAIModelConfig +from nat.plugins.crewai.llm import nim_crewai +from nat.plugins.crewai.llm import openai_crewai # --------------------------------------------------------------------------- # NIM → CrewAI wrapper tests @@ -131,7 +131,7 @@ async def test_responses_api_blocked(self, mock_llm, openai_cfg_responses, mock_ # --------------------------------------------------------------------------- -@patch("aiq.cli.type_registry.GlobalTypeRegistry") +@patch("nat.cli.type_registry.GlobalTypeRegistry") def test_decorator_registration(mock_global_registry): """Verify that register_llm_client decorators registered the CrewAI wrappers.""" registry = MagicMock() diff --git a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py index 911b9ff58..2ed96c2b7 100644 --- a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py +++ b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py @@ -20,15 +20,15 @@ import pytest -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.langchain.llm import aws_bedrock_langchain -from aiq.plugins.langchain.llm import nim_langchain -from aiq.plugins.langchain.llm import openai_langchain +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.data_models.llm import APITypeEnum +from nat.llm.aws_bedrock_llm import AWSBedrockModelConfig +from nat.llm.nim_llm import NIMModelConfig +from nat.llm.openai_llm import OpenAIModelConfig +from nat.plugins.langchain.llm import aws_bedrock_langchain +from nat.plugins.langchain.llm import nim_langchain +from nat.plugins.langchain.llm import openai_langchain # --------------------------------------------------------------------------- # NIM → LangChain wrapper tests @@ -112,7 +112,7 @@ async def test_basic_creation(self, mock_chat, oa_cfg, mock_builder): async def test_responses_branch(self, mock_chat, oa_cfg_responses, mock_builder): """When APIType==RESPONSES, special flags are added and stream is forced False.""" # Silence the warning that the wrapper logs when it toggles stream. - with patch.object(logging.getLogger("aiq.plugins.langchain.llm"), "warning"): + with patch.object(logging.getLogger("nat.plugins.langchain.llm"), "warning"): async with openai_langchain(oa_cfg_responses, mock_builder): pass @@ -167,7 +167,7 @@ async def test_api_type_validation(self, mock_chat, bedrock_cfg_wrong_api, mock_ # --------------------------------------------------------------------------- -@patch("aiq.cli.type_registry.GlobalTypeRegistry") +@patch("nat.cli.type_registry.GlobalTypeRegistry") def test_decorator_registration(mock_global_registry): """Ensure register_llm_client decorators registered the LangChain wrappers.""" registry = MagicMock() diff --git a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py index 0eaa9bf6b..a95b7b28f 100644 --- a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py +++ b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py @@ -19,15 +19,15 @@ import pytest -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.aws_bedrock_llm import AWSBedrockModelConfig -from aiq.llm.nim_llm import NIMModelConfig -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.llama_index.llm import aws_bedrock_llama_index -from aiq.plugins.llama_index.llm import nim_llama_index -from aiq.plugins.llama_index.llm import openai_llama_index +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.data_models.llm import APITypeEnum +from nat.llm.aws_bedrock_llm import AWSBedrockModelConfig +from nat.llm.nim_llm import NIMModelConfig +from nat.llm.openai_llm import OpenAIModelConfig +from nat.plugins.llama_index.llm import aws_bedrock_llama_index +from nat.plugins.llama_index.llm import nim_llama_index +from nat.plugins.llama_index.llm import openai_llama_index # --------------------------------------------------------------------------- # NIM → Llama-Index wrapper tests @@ -148,7 +148,7 @@ async def test_api_type_validation(self, mock_bedrock, br_cfg_bad_api, mock_buil # --------------------------------------------------------------------------- -@patch("aiq.cli.type_registry.GlobalTypeRegistry") +@patch("nat.cli.type_registry.GlobalTypeRegistry") def test_decorator_registration(mock_global_registry): """Ensure register_llm_client decorators registered the Llama-Index wrappers.""" registry = MagicMock() diff --git a/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py index a3ab41018..c2ae8983a 100644 --- a/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py +++ b/packages/nvidia_nat_semantic_kernel/tests/test_llm_sk.py @@ -19,11 +19,11 @@ import pytest -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.data_models.llm import APITypeEnum -from aiq.llm.openai_llm import OpenAIModelConfig -from aiq.plugins.semantic_kernel.llm import openai_semantic_kernel +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.data_models.llm import APITypeEnum +from nat.llm.openai_llm import OpenAIModelConfig +from nat.plugins.semantic_kernel.llm import openai_semantic_kernel # --------------------------------------------------------------------------- # OpenAI → Semantic-Kernel wrapper tests @@ -68,7 +68,7 @@ async def test_responses_api_blocked(self, mock_sk, oa_cfg_responses, mock_build # --------------------------------------------------------------------------- -@patch("aiq.cli.type_registry.GlobalTypeRegistry") +@patch("nat.cli.type_registry.GlobalTypeRegistry") def test_decorator_registration(mock_global_registry): """Verify that register_llm_client decorated the Semantic-Kernel wrapper.""" registry = MagicMock() diff --git a/src/aiq/agent/responses_api_agent/__init__.py b/src/nat/agent/responses_api_agent/__init__.py similarity index 100% rename from src/aiq/agent/responses_api_agent/__init__.py rename to src/nat/agent/responses_api_agent/__init__.py diff --git a/src/aiq/agent/responses_api_agent/register.py b/src/nat/agent/responses_api_agent/register.py similarity index 80% rename from src/aiq/agent/responses_api_agent/register.py rename to src/nat/agent/responses_api_agent/register.py index 8065e9962..525e72ea8 100644 --- a/src/aiq/agent/responses_api_agent/register.py +++ b/src/nat/agent/responses_api_agent/register.py @@ -18,30 +18,29 @@ from pydantic import Field -from aiq.agent.base import AGENT_LOG_PREFIX -from aiq.builder.builder import Builder -from aiq.builder.framework_enum import LLMFrameworkEnum -from aiq.builder.function_info import FunctionInfo -from aiq.cli.register_workflow import register_function -from aiq.data_models.component_ref import FunctionRef -from aiq.data_models.component_ref import LLMRef -from aiq.data_models.function import FunctionBaseConfig -from aiq.data_models.openai_mcp import OpenAIMCPSchemaTool +from nat.agent.base import AGENT_LOG_PREFIX +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.builder.function_info import FunctionInfo +from nat.cli.register_workflow import register_function +from nat.data_models.component_ref import FunctionRef +from nat.data_models.component_ref import LLMRef +from nat.data_models.function import FunctionBaseConfig +from nat.data_models.openai_mcp import OpenAIMCPSchemaTool logger = logging.getLogger(__name__) class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_agent"): """ - Defines an AIQ Toolkit function that uses a Responses API + Defines an NeMo Agent Toolkit function that uses a Responses API Agent performs reasoning inbetween tool calls, and utilizes the tool names and descriptions to select the optimal tool. """ - llm_name: LLMRef = Field(description="The LLM model to use with the react agent.") - verbose: bool = Field(default=False, description="Set the verbosity of the react agent's logging.") - aiq_tools: list[FunctionRef] = Field(default_factory=list, - description="The list of tools to provide to the react agent.") + llm_name: LLMRef = Field(description="The LLM model to use with the agent.") + verbose: bool = Field(default=False, description="Set the verbosity of the agent's logging.") + nat_tools: list[FunctionRef] = Field(default_factory=list, description="The list of tools to provide to the agent.") mcp_tools: list[OpenAIMCPSchemaTool] = Field( default_factory=list, description="List of MCP tools to use with the agent. If empty, no MCP tools will be used.") @@ -49,8 +48,8 @@ class ResponsesAPIAgentWorkflowConfig(FunctionBaseConfig, name="responses_api_ag default_factory=list, description="List of built-in tools to use with the agent. If empty, no built-in tools will be used.") - max_iterations: int = Field(default=15, description="Number of tool calls before stoping the react agent.") - description: str = Field(default="ReAct Agent Workflow", description="The description of this functions use.") + max_iterations: int = Field(default=15, description="Number of tool calls before stoping the agent.") + description: str = Field(default="Agent Workflow", description="The description of this functions use.") parallel_tool_calls: bool = Field(default=False, description="Specify whether to allow parallel tool calls in the agent.") handle_tool_errors: bool = Field( @@ -65,16 +64,16 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, from langchain_openai import ChatOpenAI from langgraph.graph.graph import CompiledGraph - from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraph - from aiq.agent.tool_calling_agent.agent import ToolCallAgentGraphState + from nat.agent.tool_calling_agent.agent import ToolCallAgentGraph + from nat.agent.tool_calling_agent.agent import ToolCallAgentGraphState llm: ChatOpenAI = await builder.get_llm(config.llm_name, wrapper_type=LLMFrameworkEnum.LANGCHAIN) assert llm.use_responses_api, "Responses API Agent requires an LLM that supports the Responses API." # Get tools tools = [] - aiq_tools = builder.get_tools(tool_names=config.aiq_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) - tools.extend(aiq_tools) + nat_tools = builder.get_tools(tool_names=config.nat_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + tools.extend(nat_tools) # MCP tools are optional, if provided they will be used by the agent tools.extend([m.model_dump() for m in config.mcp_tools]) # Built-in tools are optional, if provided they will be used by the agent @@ -89,7 +88,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, agent = ToolCallAgentGraph( llm=llm, - tools=aiq_tools, # MCP and built-in tools are already bound to the LLM and need not be handled by graph + tools=nat_tools, # MCP and built-in tools are already bound to the LLM and need not be handled by graph detailed_logs=config.verbose, handle_tool_errors=config.handle_tool_errors) diff --git a/src/nat/utils/responses_api.py b/src/nat/utils/responses_api.py index f8c7eac35..cbe78d734 100644 --- a/src/nat/utils/responses_api.py +++ b/src/nat/utils/responses_api.py @@ -21,4 +21,4 @@ def validate_no_responses_api(llm_config): if llm_config.api_type == APITypeEnum.RESPONSES: raise ValueError("Responses API is not supported for config %s. 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2025 12:47:45 -0400 Subject: [PATCH 55/69] Add configuration file for responses API tool-calling agent Introduce a new YAML configuration file for a tool-calling agent that integrates functionalities like Wikipedia search, current datetime retrieval, and Python code generation. This setup also includes evaluation workflows for accuracy, relevance, and groundedness using the specified metrics. Signed-off-by: dnandakumar-nv --- .../configs/config-responses-api.yml | 64 +++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 examples/agents/tool_calling/configs/config-responses-api.yml diff --git a/examples/agents/tool_calling/configs/config-responses-api.yml b/examples/agents/tool_calling/configs/config-responses-api.yml new file mode 100644 index 000000000..eab163795 --- /dev/null +++ b/examples/agents/tool_calling/configs/config-responses-api.yml @@ -0,0 +1,64 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +general: + use_uvloop: true + +llms: + openai_llm: + _type: openai + model_name: gpt-5-mini-2025-08-07 + api_type: responses + +functions: + wikipedia_search: + _type: wiki_search + max_results: 3 + current_datetime: + _type: current_datetime + code_generation: + _type: code_generation + programming_language: "Python" + description: "Useful to generate Python code. For any questions about code generation, you must only use this tool!" + llm_name: nim_llm + verbose: true + +workflow: + _type: tool_calling_agent + tool_names: [wikipedia_search, current_datetime, code_generation] + llm_name: nim_llm + verbose: true + handle_tool_errors: true + +eval: + general: + output_dir: .tmp/nat/examples/responses_api_agent/ + dataset: + _type: json + file_path: examples/agents/data/wikipedia.json + evaluators: + rag_accuracy: + _type: ragas + metric: AnswerAccuracy + llm_name: nim_llm + rag_groundedness: + _type: ragas + metric: ContextRelevance + llm_name: nim_llm + rag_relevance: + _type: ragas + metric: ResponseGroundedness + llm_name: nim_llm From 68f76642086845175a5e35d0e4e4e7893bfe54db Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 17:05:38 -0400 Subject: [PATCH 56/69] Support OpenAI Responses API and refine tool configs Added support for OpenAI's Responses API, enabling use of built-in tools like Code Interpreter, and restructured tool configurations for cleaner workflows. Updated example YAML and README to illustrate Responses API usage, including NAT, built-in, and MCP tools. Enhanced LLM configuration to include gpt-5 models for broader compatibility. --- examples/agents/tool_calling/README.md | 117 ++++++++++++++++++ .../configs/config-responses-api.yml | 19 ++- .../src/nat/plugins/langchain/llm.py | 2 +- 3 files changed, 125 insertions(+), 13 deletions(-) diff --git a/examples/agents/tool_calling/README.md b/examples/agents/tool_calling/README.md index 1eda4dd85..b788ab52e 100644 --- a/examples/agents/tool_calling/README.md +++ b/examples/agents/tool_calling/README.md @@ -35,6 +35,8 @@ A configurable Tool Calling agent. This agent leverages the NeMo Agent toolkit p - [Starting the NeMo Agent Toolkit Server](#starting-the-nemo-agent-toolkit-server) - [Making Requests to the NeMo Agent Toolkit Server](#making-requests-to-the-nemo-agent-toolkit-server) - [Evaluating the Tool Calling Agent Workflow](#evaluating-the-tool-calling-agent-workflow) + - [Evaluating the Tool Calling Agent Workflow](#evaluating-the-tool-calling-agent-workflow) + - [Using Tool Calling with the OpenAI Responses API](#using-tool-calling-with-the-openai-responses-api) ## Key Features @@ -178,3 +180,118 @@ curl --request POST \ aiq eval --config_file=examples/agents/tool_calling/configs/config.yml ``` +### Using Tool Calling with the OpenAI Responses API +The NeMo Agent toolkit also provides an agent implementation that uses OpenAI's Responses API to enable built-in tools (such as Code Interpreter) and remote tools via Model Context Protocol (MCP). + +#### What is the Responses API? +OpenAI's Responses API is a unified endpoint for reasoning models that supports built-in tools and external tool integrations. Compared to Chat Completions, Responses focuses on agentic behaviors like multi-step tool use, background tasks, and streaming of intermediate items. With Responses, models can: +- Use built-in tools such as Code Interpreter; some models also support file search and image generation. +- Connect to remote tools exposed over the Model Context Protocol (MCP). + +For current capabilities and model support, see OpenAI's documentation for the Responses API. + +#### Prerequisites +- Set your OpenAI API key in the environment: + ```bash + export OPENAI_API_KEY= + ``` +- Use an OpenAI model that supports the Responses API and the tools you enable (for example, `o3`, `o4-mini`, or a compatible `gpt-*` model that advertises Responses support). + +#### Run the Responses API agent +An example configuration is provided at `examples/agents/tool_calling/configs/config-responses-api.yml`. Run it from the NeMo Agent toolkit repo root: + +```bash +aiq run --config_file=examples/agents/tool_calling/configs/config-responses-api.yml --input "What day is it today?" +``` + +Start a server instead: + +```bash +aiq serve --config_file=examples/agents/tool_calling/configs/config-responses-api.yml +``` + +Make a non-streaming request: + +```bash +curl --request POST \ + --url http://localhost:8000/generate \ + --header 'Content-Type: application/json' \ + --data '{"input_message": "What day is it today?"}' +``` + +#### Configure the agent for Responses +Key fields in `config-responses-api.yml`: + +```yaml +llms: + openai_llm: + _type: openai + model_name: gpt-5-mini-2025-08-07 + api_type: responses # must be 'responses' for this agent + +workflow: + _type: responses_api_agent + llm_name: openai_llm + verbose: true + handle_tool_errors: true + # Tools exposed to the agent: + nat_tools: [current_datetime] # NAT tools executed by the agent graph + builtin_tools: # Built-in OpenAI tools bound directly to the LLM + - type: code_interpreter + container: + type: "auto" + mcp_tools: [] # Optional: remote tools over MCP (see below) +``` + +- **nat_tools**: Tools implemented in this repository (for example, `current_datetime`). These run via the tool node in the agent graph. +- **builtin_tools**: Tools provided by OpenAI's Responses API and executed by the model runtime. The agent binds them to the LLM; the graph does not run them directly. +- **mcp_tools**: Remote tools exposed via MCP. The agent passes the schema to the LLM; the model orchestrates calls to the remote server. + +#### Built-in tools for OpenAI models +Built-in tool availability depends on model and account features. Common built-ins include: +- **Code Interpreter**: Execute Python for data analysis, math, and code execution. In this repo, configure it as: + ```yaml + builtin_tools: + - type: code_interpreter + container: + type: "auto" + ``` +- **File search** and **image generation** may be supported by some models in Responses. Refer to OpenAI docs for the latest tool names and required parameters if you choose to add them to `builtin_tools`. + +Notes: +- This agent enforces that the selected LLM uses the Responses API. +- When `builtin_tools` or `mcp_tools` are provided, they are bound on the LLM with `strict=True` and optional `parallel_tool_calls` support. + +#### Configure MCP tools +You can allow the model to call tools from a remote MCP server by adding entries under `mcp_tools`. The schema is defined in `src/nat/data_models/openai_mcp.py`. + +Example: + +```yaml +workflow: + _type: responses_api_agent + llm_name: openai_llm + # ... + mcp_tools: + - type: mcp + server_label: deepwiki + server_url: https://mcp.deepwiki.com/mcp + allowed_tools: [read_wiki_structure, read_wiki_contents] + require_approval: never # one of: never, always, auto + headers: + Authorization: Bearer +``` + +Field reference (MCP): +- **type**: Must be `mcp`. +- **server_label**: A short label for the server. Used in model outputs and logs. +- **server_url**: The MCP server endpoint URL. +- **allowed_tools**: Optional allowlist of tool names the model may call. Omit or set empty to allow all server tools. +- **require_approval**: `never`, `always`, or `auto` (defaults to `never`). Controls whether tool invocations require approval. +- **headers**: Optional HTTP headers to include on MCP requests. + +#### Tips and troubleshooting +- Ensure your model supports the specific built-in tools you enable. +- Some built-ins (for example, file search) may require separate setup in your OpenAI account (vector stores, file uploads). Consult OpenAI documentation for current requirements. +- If tool calls error and `handle_tool_errors` is `true`, the agent will surface an informative message instead of raising. + diff --git a/examples/agents/tool_calling/configs/config-responses-api.yml b/examples/agents/tool_calling/configs/config-responses-api.yml index eab163795..a8f2e9657 100644 --- a/examples/agents/tool_calling/configs/config-responses-api.yml +++ b/examples/agents/tool_calling/configs/config-responses-api.yml @@ -24,22 +24,17 @@ llms: api_type: responses functions: - wikipedia_search: - _type: wiki_search - max_results: 3 current_datetime: _type: current_datetime - code_generation: - _type: code_generation - programming_language: "Python" - description: "Useful to generate Python code. For any questions about code generation, you must only use this tool!" - llm_name: nim_llm - verbose: true workflow: - _type: tool_calling_agent - tool_names: [wikipedia_search, current_datetime, code_generation] - llm_name: nim_llm + _type: responses_api_agent + nat_tools: [current_datetime] + builtin_tools: + - type: code_interpreter + container: + type: "auto" + llm_name: openai_llm verbose: true handle_tool_errors: true diff --git a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py index 097f16162..b304d530e 100644 --- a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py +++ b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py @@ -58,7 +58,7 @@ async def openai_langchain(llm_config: OpenAIModelConfig, builder: Builder): # will not include this. default_kwargs = {"stream_usage": True} exclude = {"type"} - if llm_config.model_name.startswith('o'): + if llm_config.model_name.startswith('o') or llm_config.model_name.startswith('gpt-5'): exclude.add("temperature") kwargs = {**default_kwargs, **llm_config.model_dump(exclude=exclude, by_alias=True)} From 06370c72b2ec9924e2b954f8c1933d1662b2c251 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 17:09:30 -0400 Subject: [PATCH 57/69] Disable specific pylint warnings to improve code clarity Added "raising-format-tuple" and "comparison-with-callable" to pylint disable directives to suppress unnecessary warnings. This ensures the code adheres to the desired linting standards without being cluttered by irrelevant alerts. --- packages/nvidia_nat_agno/tests/test_llm_agno.py | 2 +- src/nat/utils/responses_api.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/packages/nvidia_nat_agno/tests/test_llm_agno.py b/packages/nvidia_nat_agno/tests/test_llm_agno.py index 13d79843e..5feb0a56f 100644 --- a/packages/nvidia_nat_agno/tests/test_llm_agno.py +++ b/packages/nvidia_nat_agno/tests/test_llm_agno.py @@ -12,7 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -# pylint: disable=unused-argument, not-async-context-manager +# pylint: disable=unused-argument, not-async-context-manager, comparison-with-callable import os from unittest.mock import MagicMock diff --git a/src/nat/utils/responses_api.py b/src/nat/utils/responses_api.py index cbe78d734..8c3d4cc27 100644 --- a/src/nat/utils/responses_api.py +++ b/src/nat/utils/responses_api.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=raising-format-tuple from nat.data_models.llm import APITypeEnum From 9149a2d829bd7e29b2e5942fc6e147ed0a86132d Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 17:23:05 -0400 Subject: [PATCH 58/69] Update README to reflect new CLI commands and formatting Replaces old `aiq` commands with updated `nat` commands and adjusts an example input. Improves clarity by formatting tool references and field details with consistent code styling. Refines descriptions of built-in and remote tools for better readability. --- examples/agents/tool_calling/README.md | 34 ++++++++------------------ 1 file changed, 10 insertions(+), 24 deletions(-) diff --git a/examples/agents/tool_calling/README.md b/examples/agents/tool_calling/README.md index b788ab52e..6124bf826 100644 --- a/examples/agents/tool_calling/README.md +++ b/examples/agents/tool_calling/README.md @@ -201,22 +201,7 @@ For current capabilities and model support, see OpenAI's documentation for the R An example configuration is provided at `examples/agents/tool_calling/configs/config-responses-api.yml`. Run it from the NeMo Agent toolkit repo root: ```bash -aiq run --config_file=examples/agents/tool_calling/configs/config-responses-api.yml --input "What day is it today?" -``` - -Start a server instead: - -```bash -aiq serve --config_file=examples/agents/tool_calling/configs/config-responses-api.yml -``` - -Make a non-streaming request: - -```bash -curl --request POST \ - --url http://localhost:8000/generate \ - --header 'Content-Type: application/json' \ - --data '{"input_message": "What day is it today?"}' +nat run --config_file=examples/agents/tool_calling/configs/config-responses-api.yml --input "How many 0s are in the current time?" ``` #### Configure the agent for Responses @@ -227,7 +212,8 @@ llms: openai_llm: _type: openai model_name: gpt-5-mini-2025-08-07 - api_type: responses # must be 'responses' for this agent + # Setting the `api_type` to responses uses the Responses API + api_type: responses workflow: _type: responses_api_agent @@ -243,9 +229,9 @@ workflow: mcp_tools: [] # Optional: remote tools over MCP (see below) ``` -- **nat_tools**: Tools implemented in this repository (for example, `current_datetime`). These run via the tool node in the agent graph. -- **builtin_tools**: Tools provided by OpenAI's Responses API and executed by the model runtime. The agent binds them to the LLM; the graph does not run them directly. -- **mcp_tools**: Remote tools exposed via MCP. The agent passes the schema to the LLM; the model orchestrates calls to the remote server. +- **`nat_tools`**: Tools implemented in NeMo Agent toolkit (for example, `current_datetime`). These run via the tool node in the agent graph. +- **`builtin_tools`**: Tools provided by OpenAI's Responses API and executed by the model runtime. The agent binds them to the LLM; the graph does not run them directly. +- **`mcp_tools`**: Remote tools exposed via MCP. The agent passes the schema to the LLM; the model orchestrates calls to the remote server. #### Built-in tools for OpenAI models Built-in tool availability depends on model and account features. Common built-ins include: @@ -284,10 +270,10 @@ workflow: Field reference (MCP): - **type**: Must be `mcp`. -- **server_label**: A short label for the server. Used in model outputs and logs. -- **server_url**: The MCP server endpoint URL. -- **allowed_tools**: Optional allowlist of tool names the model may call. Omit or set empty to allow all server tools. -- **require_approval**: `never`, `always`, or `auto` (defaults to `never`). Controls whether tool invocations require approval. +- **`server_label`**: A short label for the server. Used in model outputs and logs. +- **`server_url`**: The MCP server endpoint URL. +- **`allowed_tools`**: Optional allowlist of tool names the model may call. Omit or set empty to allow all server tools. +- **`require_approval`**: `never`, `always`, or `auto` (defaults to `never`). Controls whether tool invocations require approval. - **headers**: Optional HTTP headers to include on MCP requests. #### Tips and troubleshooting From 605de7bd2687ae6508c17b8682ca4e545134310d Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 17:33:34 -0400 Subject: [PATCH 59/69] Update README to reflect new CLI commands and formatting Replaces old `aiq` commands with updated `nat` commands and adjusts an example input. Improves clarity by formatting tool references and field details with consistent code styling. Refines descriptions of built-in and remote tools for better readability. --- .../configs/config-responses-api.yml | 20 ------------------- 1 file changed, 20 deletions(-) diff --git a/examples/agents/tool_calling/configs/config-responses-api.yml b/examples/agents/tool_calling/configs/config-responses-api.yml index a8f2e9657..b87fd2722 100644 --- a/examples/agents/tool_calling/configs/config-responses-api.yml +++ b/examples/agents/tool_calling/configs/config-responses-api.yml @@ -37,23 +37,3 @@ workflow: llm_name: openai_llm verbose: true handle_tool_errors: true - -eval: - general: - output_dir: .tmp/nat/examples/responses_api_agent/ - dataset: - _type: json - file_path: examples/agents/data/wikipedia.json - evaluators: - rag_accuracy: - _type: ragas - metric: AnswerAccuracy - llm_name: nim_llm - rag_groundedness: - _type: ragas - metric: ContextRelevance - llm_name: nim_llm - rag_relevance: - _type: ragas - metric: ResponseGroundedness - llm_name: nim_llm From 49697e6f25c598fdd0b94027eab86c9b2b283973 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 17:58:25 -0400 Subject: [PATCH 60/69] Add documentation for Responses API and agent configuration This commit introduces a new documentation file explaining the integration of OpenAI's Responses API with the NeMo Agent toolkit. It details LLM and agent configuration, tool usage (built-in, NAT, and MCP), and configurable options, providing examples for setup and execution. --- .../workflows/about/reponses-api-and-agent.md | 131 ++++++++++++++++++ 1 file changed, 131 insertions(+) create mode 100644 docs/source/workflows/about/reponses-api-and-agent.md diff --git a/docs/source/workflows/about/reponses-api-and-agent.md b/docs/source/workflows/about/reponses-api-and-agent.md new file mode 100644 index 000000000..7ec646209 --- /dev/null +++ b/docs/source/workflows/about/reponses-api-and-agent.md @@ -0,0 +1,131 @@ + + +# Responses API and Agent + +The NeMo Agent toolkit supports OpenAI's Responses API through two complementary pieces: + +1) LLM client configuration via the `api_type` field, and 2) a dedicated workflow agent `_type: responses_api_agent` designed for tool use with the Responses API. + +Unlike standard chat-based integrations, the Responses API enables models to use built-in tools (for example, Code Interpreter) and connect to remote tools using the Model Context Protocol (MCP). This page explains how to configure an LLM for Responses and how to use the dedicated agent. + + +## Features + +- **LLM Client Switch**: Select the LLM client mode using `api_type`. +- **Built-in Tools**: Bind Responses built-ins such as Code Interpreter via `builtin_tools`. +- **MCP Tools**: Connect remote tools using `mcp_tools` with fields like `server_label` and `server_url`. +- **NAT Tools**: Continue to use toolkit tools through `nat_tools` (executed by the agent graph). +- **Agentic Workflow**: The `_type: responses_api_agent` integrates tool binding with the NeMo Agent dual-node graph. + + +## Requirements + +- A model that supports the Responses API and any enabled built-in tools. +- For MCP usage, a reachable MCP server and any necessary credentials. + + +## LLM Configuration: `api_type` + +LLM clients support an `api_type` selector. By default, `api_type` is `chat_completions`. To use the Responses API, set `api_type` to `responses` in your LLM configuration. + +### Example + +```yaml +llms: + openai_llm: + _type: openai + model_name: gpt-5-mini-2025-08-07 + # Default is `chat_completions`; set to `responses` to enable the Responses API + api_type: responses +``` + +Notes: +- If `api_type` is omitted, the client uses `chat_completions`. +- The Responses API unlocks built-in tools and MCP integration. + +## Agent Configuration: `_type: responses_api_agent` + +The Responses API agent binds tools directly to the LLM for execution under the Responses API, while NAT tools run via the agent graph. This preserves the familiar flow of the NeMo Agent toolkit with added tool capabilities. + +### Example `config.yml` + +```yaml +functions: + current_datetime: + _type: current_datetime + +llms: + openai_llm: + _type: openai + model_name: gpt-5-mini-2025-08-07 + api_type: responses + +workflow: + _type: responses_api_agent + llm_name: openai_llm + verbose: true + handle_tool_errors: true + + # NAT tools are executed by the agent graph + nat_tools: [current_datetime] + + # Built-in tools are bound to the LLM (for example, Code Interpreter) + builtin_tools: + - type: code_interpreter + container: + type: "auto" + + # Optional: Remote tools via Model Context Protocol + mcp_tools: + - type: mcp + server_label: deepwiki + server_url: https://mcp.deepwiki.com/mcp + allowed_tools: [read_wiki_structure, read_wiki_contents] + require_approval: never +``` + +## Configurable Options + +- `llm_name`: The LLM to use. Must refer to an entry under `llms`. +- `verbose`: Defaults to `false`. When `true`, the agent logs input, output, and intermediate steps. +- `handle_tool_errors`: Defaults to `true`. When enabled, tool errors are returned to the model (instead of raising) so it can recover. +- `nat_tools`: A list of toolkit tools (by function ref) that run in the agent graph. +- `builtin_tools`: A list of built-in tools to bind on the LLM. Availability depends on the selected model. +- `mcp_tools`: A list of MCP tool descriptors bound on the LLM, with fields `server_label`, `server_url`, `allowed_tools`, and `require_approval`. +- `max_iterations`: Defaults to `15`. Maximum number of tool invocations the agent may perform. +- `description`: Defaults to `Agent Workflow`. Used when the workflow is exported as a function. +- `parallel_tool_calls`: Defaults to `false`. If supported, allows the model runtime to schedule multiple tool calls in parallel. + +## Running the Agent + +Run from the repository root with a sample prompt: + +```bash +nat run --config_file=examples/agents/tool_calling/configs/config-responses-api.yml --input "How many 0s are in the current time?" +``` + +## MCP Field Reference + +When adding entries to `mcp_tools`, each object supports the following fields: + +- `type`: Must be `mcp`. +- `server_label`: Short label for the server. +- `server_url`: URL of the MCP endpoint. +- `allowed_tools`: Optional allowlist of tool names the model may call. +- `require_approval`: One of `never`, `always`, or `auto`. +- `headers`: Optional map of HTTP headers to include when calling the server. From e786c127f59705cfb9b9af316b7a603031a65161 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 18:20:27 -0400 Subject: [PATCH 61/69] Add unit tests for Responses API agent workflow Introduce tests to validate Responses API agent functionality, including tool binding, LLM capability checks, and workflow execution. These ensure proper integration of NAT tools, MCP tools, and built-in tools with the agent. --- tests/nat/agent/test_responses_api_agent.py | 120 ++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 tests/nat/agent/test_responses_api_agent.py diff --git a/tests/nat/agent/test_responses_api_agent.py b/tests/nat/agent/test_responses_api_agent.py new file mode 100644 index 000000000..1b66dadd0 --- /dev/null +++ b/tests/nat/agent/test_responses_api_agent.py @@ -0,0 +1,120 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest + +from nat.agent.responses_api_agent.register import ResponsesAPIAgentWorkflowConfig +from nat.agent.responses_api_agent.register import responses_api_agent_workflow +from nat.data_models.openai_mcp import OpenAIMCPSchemaTool + + +class _MockBuilder: + def __init__(self, llm, tools): + self._llm = llm + self._tools = tools + + async def get_llm(self, llm_name, wrapper_type): + # match interface and avoid unused warnings + return self._llm + + def get_tools(self, tool_names, wrapper_type): + # match interface and avoid unused warnings + return self._tools + + +def _augment_llm_for_responses(llm): + """Augment the mock LLM class with Responses API properties/methods.""" + + klass = type(llm) + setattr(klass, "use_responses_api", True) + setattr(klass, "model_name", "mock-openai") + + def bind_tools(self, *, tools, parallel_tool_calls=False, strict=True): # noqa: D401 + # Store on class to avoid Pydantic instance attribute restrictions + klass = type(self) + setattr(klass, "bound_tools", tools) + setattr(klass, "bound_parallel", parallel_tool_calls) + setattr(klass, "bound_strict", strict) + return self + + setattr(klass, "bind_tools", bind_tools) + return llm + + +def _augment_llm_without_responses(llm): + """Augment the mock LLM class but mark it as not Responses-capable.""" + klass = type(llm) + setattr(klass, "use_responses_api", False) + setattr(klass, "model_name", "mock-openai") + return llm + + +@pytest.fixture(name="nat_tool") +def nat_tool_fixture(mock_tool): + return mock_tool("Tool A") + + +async def _consume_function_info(gen): + """Helper to consume a single yield from the async generator and return FunctionInfo.""" + function_info = None + async for function_info in gen: + break + assert function_info is not None + return function_info + + +async def test_llm_requires_responses_api(mock_llm, nat_tool): + llm = _augment_llm_without_responses(mock_llm) + builder = _MockBuilder(llm=llm, tools=[nat_tool]) + config = ResponsesAPIAgentWorkflowConfig(llm_name="openai_llm", nat_tools=["tool_a"]) # type: ignore[list-item] + + with pytest.raises(AssertionError): + # The assertion occurs before yielding, when validating the LLM + async with responses_api_agent_workflow(config, builder): + pass + + +async def test_binds_tools_and_runs(mock_llm, nat_tool): + llm = _augment_llm_for_responses(mock_llm) + mcp = OpenAIMCPSchemaTool(server_label="deepwiki", server_url="https://mcp.deepwiki.com/mcp") + builtin = {"type": "code_interpreter", "container": {"type": "auto"}} + + builder = _MockBuilder(llm=llm, tools=[nat_tool]) + + config = ResponsesAPIAgentWorkflowConfig( + llm_name="openai_llm", + nat_tools=["tool_a"], # type: ignore[list-item] + builtin_tools=[builtin], + mcp_tools=[mcp], + verbose=True, + parallel_tool_calls=True, + ) + + async with responses_api_agent_workflow(config, builder) as function_info: + # Ensure tools were bound on the LLM (nat tool + mcp + builtin) + assert hasattr(type(llm), "bound_tools") + bound = type(llm).bound_tools + assert any(getattr(t, "name", None) == "Tool A" for t in bound) # NAT tool instance + assert builtin in bound # Built-in tool dict + assert mcp.model_dump() in bound # MCP tool dict + + # Parallel flag propagated + assert getattr(type(llm), "bound_parallel", False) is True + assert getattr(type(llm), "bound_strict", False) is True + + # Invoke the produced function and verify output path works end-to-end + result = await function_info.single_fn("please, mock tool call!") + assert isinstance(result, str) + assert result == "mock query" From 66ff758086b085178f9807fc0da201e2cc42decd Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 19:40:13 -0400 Subject: [PATCH 62/69] Add Responses API and Agent documentation and test adjustments Updated the workflows documentation to include the Responses API and Agent. Adjusted test script to disable specific pylint rules related to unused arguments and non-async context managers. --- docs/source/workflows/about/index.md | 3 ++- tests/nat/agent/test_responses_api_agent.py | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/source/workflows/about/index.md b/docs/source/workflows/about/index.md index 97a5e23b5..716747234 100644 --- a/docs/source/workflows/about/index.md +++ b/docs/source/workflows/about/index.md @@ -68,6 +68,7 @@ For details on workflow configuration, including sections not utilized in the ab ReAct Agent <./react-agent.md> Reasoning Agent <./reasoning-agent.md> -./rewoo-agent.md +Reasoning Without Observation Agent <./rewoo-agent.md> +Responses API and Agent <./responses-api-and-agent.md> Tool Calling Agent <./tool-calling-agent.md> ``` diff --git a/tests/nat/agent/test_responses_api_agent.py b/tests/nat/agent/test_responses_api_agent.py index 1b66dadd0..3c6482062 100644 --- a/tests/nat/agent/test_responses_api_agent.py +++ b/tests/nat/agent/test_responses_api_agent.py @@ -12,6 +12,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=not-async-context-manager,unused-argument import pytest From 839164bd73e00fe3d054183cb06f9448d9bb37d9 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 13 Aug 2025 19:44:37 -0400 Subject: [PATCH 63/69] Add Responses API and Agent documentation and test adjustments Updated the workflows documentation to include the Responses API and Agent. Adjusted test script to disable specific pylint rules related to unused arguments and non-async context managers. --- tests/nat/agent/test_responses_api_agent.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/nat/agent/test_responses_api_agent.py b/tests/nat/agent/test_responses_api_agent.py index 3c6482062..3e3d0c5cc 100644 --- a/tests/nat/agent/test_responses_api_agent.py +++ b/tests/nat/agent/test_responses_api_agent.py @@ -22,6 +22,7 @@ class _MockBuilder: + def __init__(self, llm, tools): self._llm = llm self._tools = tools From 2e075773fe75db091947f279dad5bbbac3b980f8 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Wed, 20 Aug 2025 09:30:15 -0400 Subject: [PATCH 64/69] Update LLM error messages and dependency versions Revised error messages to reflect specific LLM support for API types. Updated multiple dependencies including `llama-index` and `langchain-openai` to their latest versions for improved compatibility and features. Signed-off-by: dnandakumar-nv --- .../src/nat/plugins/llama_index/llm.py | 4 +- uv.lock | 88 +++++++++---------- 2 files changed, 46 insertions(+), 46 deletions(-) diff --git a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py index 6438c6dd9..95d5d61c9 100644 --- a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py +++ b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py @@ -34,7 +34,7 @@ async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, _builder: B kwargs = llm_config.model_dump(exclude={"type", "max_tokens"}, by_alias=True) if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " + raise ValueError("AWS Bedrock LLM only supports chat completion API type. 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Added validation for "no responses API" in LLM configurations and modified API references to improve clarity and performance. Removed unused imports and outdated assertions for cleaner code and reduced redundancy. Signed-off-by: dnandakumar-nv --- examples/agents/tool_calling/README.md | 2 +- .../multi_frameworks/pyproject.toml | 3 +- .../src/nat/plugins/agno/llm.py | 6 +- .../src/nat/plugins/langchain/llm.py | 2 - .../tests/test_llm_langchain.py | 2 - .../src/nat/plugins/llama_index/llm.py | 10 +-- src/nat/agent/responses_api_agent/register.py | 5 +- tests/nat/agent/test_responses_api_agent.py | 20 ++++-- uv.lock | 68 +++++++++---------- 9 files changed, 61 insertions(+), 57 deletions(-) diff --git a/examples/agents/tool_calling/README.md b/examples/agents/tool_calling/README.md index fe2a9175d..16f846aef 100644 --- a/examples/agents/tool_calling/README.md +++ b/examples/agents/tool_calling/README.md @@ -210,7 +210,7 @@ Key fields in `config-responses-api.yml`: llms: openai_llm: _type: openai - model_name: gpt-5-mini-2025-08-07 + model_name: gpt-5-mini # Setting the `api_type` to responses uses the Responses API api_type: responses diff --git a/examples/frameworks/multi_frameworks/pyproject.toml b/examples/frameworks/multi_frameworks/pyproject.toml index 5068c92db..2c83d104a 100644 --- a/examples/frameworks/multi_frameworks/pyproject.toml +++ b/examples/frameworks/multi_frameworks/pyproject.toml @@ -13,8 +13,7 @@ dependencies = [ "nvidia-nat[langchain,llama-index,openai,nvidia_haystack]~=1.4", "arxiv~=2.1.3", "bs4==0.0.2", - "markdown-it-py~=3.0", - "openai~=1.86.0" + "markdown-it-py~=3.0" ] requires-python = ">=3.11,<3.14" description = "Custom NeMo Agent toolkit Workflow" diff --git a/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py b/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py index f0e336cbc..89cbbfe51 100644 --- a/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py +++ b/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py @@ -18,8 +18,8 @@ from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum from nat.cli.register_workflow import register_llm_client -from nat.data_models.llm import LLMBaseConfig from nat.data_models.llm import APITypeEnum +from nat.data_models.llm import LLMBaseConfig from nat.data_models.retry_mixin import RetryMixin from nat.data_models.thinking_mixin import ThinkingMixin from nat.llm.litellm_llm import LiteLlmModelConfig @@ -82,6 +82,8 @@ async def nim_agno(llm_config: NIMModelConfig, _builder: Builder): from agno.models.nvidia import Nvidia + validate_no_responses_api(llm_config) + config_obj = { **llm_config.model_dump( exclude={"type", "model_name", "thinking"}, @@ -122,6 +124,8 @@ async def litellm_agno(llm_config: LiteLlmModelConfig, _builder: Builder): from agno.models.litellm.chat import LiteLLM + validate_no_responses_api(llm_config) + client = LiteLLM( **llm_config.model_dump( exclude={"type", "thinking", "model_name"}, diff --git a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py index ab9f05bd4..6f36661b0 100644 --- a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py +++ b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py @@ -15,7 +15,6 @@ # pylint: disable=unused-argument import logging - from collections.abc import Sequence from typing import TypeVar @@ -50,7 +49,6 @@ def _patch_llm_based_on_config(client: ModelType, llm_config: LLMBaseConfig) -> from langchain_core.messages import SystemMessage from langchain_core.prompt_values import PromptValue - class LangchainThinkingInjector(BaseThinkingInjector): @override diff --git a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py index 2ed96c2b7..decd9492b 100644 --- a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py +++ b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py @@ -119,8 +119,6 @@ async def test_responses_branch(self, mock_chat, oa_cfg_responses, mock_builder) kwargs = mock_chat.call_args.kwargs assert kwargs["use_responses_api"] is True assert kwargs["use_previous_response_id"] is True - # The wrapper should have flipped stream to False - assert kwargs.get("stream") is False # Other original kwargs remain unchanged assert kwargs["temperature"] == 0.2 assert kwargs["stream_usage"] is True diff --git a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py index 2c0e5c784..f2972e7d6 100644 --- a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py +++ b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py @@ -19,8 +19,8 @@ from nat.builder.builder import Builder from nat.builder.framework_enum import LLMFrameworkEnum from nat.cli.register_workflow import register_llm_client -from nat.data_models.llm import LLMBaseConfig from nat.data_models.llm import APITypeEnum +from nat.data_models.llm import LLMBaseConfig from nat.data_models.retry_mixin import RetryMixin from nat.data_models.thinking_mixin import ThinkingMixin from nat.llm.aws_bedrock_llm import AWSBedrockModelConfig @@ -128,13 +128,9 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, _builder: Builder): from llama_index.llms.openai import OpenAIResponses if llm_config.api_type == APITypeEnum.RESPONSES: - llm = OpenAIResponses( - **llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True) - ) + llm = OpenAIResponses(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) else: - llm = OpenAI( - **llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True) - ) + llm = OpenAI(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(llm, llm_config) diff --git a/src/nat/agent/responses_api_agent/register.py b/src/nat/agent/responses_api_agent/register.py index 525e72ea8..08a1f751c 100644 --- a/src/nat/agent/responses_api_agent/register.py +++ b/src/nat/agent/responses_api_agent/register.py @@ -62,7 +62,6 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, from langchain_core.messages.human import HumanMessage from langchain_core.runnables import Runnable from langchain_openai import ChatOpenAI - from langgraph.graph.graph import CompiledGraph from nat.agent.tool_calling_agent.agent import ToolCallAgentGraph from nat.agent.tool_calling_agent.agent import ToolCallAgentGraphState @@ -72,7 +71,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, # Get tools tools = [] - nat_tools = builder.get_tools(tool_names=config.nat_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) + nat_tools = await builder.get_tools(tool_names=config.nat_tools, wrapper_type=LLMFrameworkEnum.LANGCHAIN) tools.extend(nat_tools) # MCP tools are optional, if provided they will be used by the agent tools.extend([m.model_dump() for m in config.mcp_tools]) @@ -92,7 +91,7 @@ async def responses_api_agent_workflow(config: ResponsesAPIAgentWorkflowConfig, detailed_logs=config.verbose, handle_tool_errors=config.handle_tool_errors) - graph: CompiledGraph = await agent.build_graph() + graph = await agent.build_graph() async def _response_fn(input_message: str) -> str: try: diff --git a/tests/nat/agent/test_responses_api_agent.py b/tests/nat/agent/test_responses_api_agent.py index 3e3d0c5cc..959b19d1a 100644 --- a/tests/nat/agent/test_responses_api_agent.py +++ b/tests/nat/agent/test_responses_api_agent.py @@ -31,7 +31,7 @@ async def get_llm(self, llm_name, wrapper_type): # match interface and avoid unused warnings return self._llm - 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{ name = "llama-index-llms-nvidia", specifier = "~=0.3.1" }, - { name = "llama-index-llms-openai", specifier = "~=0.3.42" }, + { name = "llama-index-llms-nvidia", specifier = "~=0.3.4" }, + { name = "llama-index-llms-openai", specifier = ">=0.4.2" }, { name = "llama-index-readers-file", specifier = "~=0.4.4" }, { name = "nvidia-nat", editable = "." }, ] From 12f57ed143f5f54bed97b0ab62724902cdd5f8fc Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Thu, 16 Oct 2025 11:02:22 -0400 Subject: [PATCH 66/69] Fix typo in file name "reponses" to "responses" Corrected a typo in the documentation file name for clarity and accuracy. Ensuring proper naming maintains consistency and avoids potential confusion. Signed-off-by: dnandakumar-nv --- .../{reponses-api-and-agent.md => responses-api-and-agent.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename docs/source/workflows/about/{reponses-api-and-agent.md => responses-api-and-agent.md} (100%) diff --git a/docs/source/workflows/about/reponses-api-and-agent.md b/docs/source/workflows/about/responses-api-and-agent.md similarity index 100% rename from docs/source/workflows/about/reponses-api-and-agent.md rename to docs/source/workflows/about/responses-api-and-agent.md From 9910b29621602a8f57db2a705bcdd8971146c688 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Thu, 16 Oct 2025 11:04:13 -0400 Subject: [PATCH 67/69] Update tool_outputs to accept a list of ServerToolUseSchema Previously, tool_outputs supported a single ServerToolUseSchema. This change modifies it to handle a list, enhancing flexibility and enabling multiple tool uses to be tracked simultaneously. Signed-off-by: dnandakumar-nv --- src/nat/data_models/intermediate_step.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/nat/data_models/intermediate_step.py b/src/nat/data_models/intermediate_step.py index 69d97f196..bc89bb216 100644 --- a/src/nat/data_models/intermediate_step.py +++ b/src/nat/data_models/intermediate_step.py @@ -115,7 +115,7 @@ class TraceMetadata(BaseModel): chat_responses: typing.Any | None = None chat_inputs: typing.Any | None = None tool_inputs: typing.Any | None = None - tool_outputs: ServerToolUseSchema | typing.Any | None = None + tool_outputs: list[ServerToolUseSchema] | typing.Any | None = None tool_info: typing.Any | None = None span_inputs: typing.Any | None = None span_outputs: typing.Any | None = None From 52f57e56ac3cffeda0b639435d5489e8b4f061a4 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Mon, 20 Oct 2025 12:56:52 -0400 Subject: [PATCH 68/69] Add framework-specific validation for API type in LLM configs Introduced framework-specific validation using `validate_no_responses_api` to ensure unsupported API types are properly flagged. Updated relevant code paths, test cases, and dependencies to handle `api_type` exclusions effectively. Defined explicit API version bounds for `llama-index-llms-openai` to improve compatibility and stability. Signed-off-by: dnandakumar-nv --- .../nvidia_nat_adk/src/nat/plugins/adk/llm.py | 20 +++++++++--- .../src/nat/plugins/agno/llm.py | 10 +++--- .../src/nat/plugins/crewai/llm.py | 24 +++++++------- .../src/nat/plugins/langchain/llm.py | 31 ++++++++++--------- .../tests/test_llm_langchain.py | 4 +-- .../nvidia_nat_llama_index/pyproject.toml | 2 +- .../src/nat/plugins/llama_index/llm.py | 29 +++++++++-------- .../tests/test_llm_llama_index.py | 4 +-- .../src/nat/plugins/semantic_kernel/llm.py | 4 +-- src/nat/data_models/llm.py | 3 +- .../callbacks/langchain_callback_handler.py | 10 ++---- .../callbacks/llama_index_callback_handler.py | 2 +- src/nat/utils/responses_api.py | 7 +++-- uv.lock | 2 +- 14 files changed, 79 insertions(+), 73 deletions(-) diff --git a/packages/nvidia_nat_adk/src/nat/plugins/adk/llm.py b/packages/nvidia_nat_adk/src/nat/plugins/adk/llm.py index fa2c44857..b8ab16453 100644 --- a/packages/nvidia_nat_adk/src/nat/plugins/adk/llm.py +++ b/packages/nvidia_nat_adk/src/nat/plugins/adk/llm.py @@ -23,6 +23,7 @@ from nat.llm.litellm_llm import LiteLlmModelConfig from nat.llm.nim_llm import NIMModelConfig from nat.llm.openai_llm import OpenAIModelConfig +from nat.utils.responses_api import validate_no_responses_api logger = logging.getLogger(__name__) @@ -37,8 +38,12 @@ async def azure_openai_adk(config: AzureOpenAIModelConfig, _builder: Builder): """ from google.adk.models.lite_llm import LiteLlm + validate_no_responses_api(config, LLMFrameworkEnum.ADK) + config_dict = config.model_dump( - exclude={"type", "max_retries", "thinking", "azure_endpoint", "azure_deployment", "model_name", "model"}, + exclude={ + "type", "max_retries", "thinking", "azure_endpoint", "azure_deployment", "model_name", "model", "api_type" + }, by_alias=True, exclude_none=True, ) @@ -51,8 +56,11 @@ async def azure_openai_adk(config: AzureOpenAIModelConfig, _builder: Builder): @register_llm_client(config_type=LiteLlmModelConfig, wrapper_type=LLMFrameworkEnum.ADK) async def litellm_adk(litellm_config: LiteLlmModelConfig, _builder: Builder): from google.adk.models.lite_llm import LiteLlm + + validate_no_responses_api(litellm_config, LLMFrameworkEnum.ADK) + yield LiteLlm(**litellm_config.model_dump( - exclude={"type", "max_retries", "thinking"}, + exclude={"type", "max_retries", "thinking", "api_type"}, by_alias=True, exclude_none=True, )) @@ -69,6 +77,8 @@ async def nim_adk(config: NIMModelConfig, _builder: Builder): import litellm from google.adk.models.lite_llm import LiteLlm + validate_no_responses_api(config, LLMFrameworkEnum.ADK) + logger.warning("NIMs do not currently support tools with ADK. Tools will be ignored.") litellm.add_function_to_prompt = True litellm.drop_params = True @@ -77,7 +87,7 @@ async def nim_adk(config: NIMModelConfig, _builder: Builder): os.environ["NVIDIA_NIM_API_KEY"] = api_key config_dict = config.model_dump( - exclude={"type", "max_retries", "thinking", "model_name", "model", "base_url"}, + exclude={"type", "max_retries", "thinking", "model_name", "model", "base_url", "api_type"}, by_alias=True, exclude_none=True, ) @@ -97,8 +107,10 @@ async def openai_adk(config: OpenAIModelConfig, _builder: Builder): """ from google.adk.models.lite_llm import LiteLlm + validate_no_responses_api(config, LLMFrameworkEnum.ADK) + config_dict = config.model_dump( - exclude={"type", "max_retries", "thinking", "model_name", "model", "base_url"}, + exclude={"type", "max_retries", "thinking", "model_name", "model", "base_url", "api_type"}, by_alias=True, exclude_none=True, ) diff --git a/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py b/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py index 89cbbfe51..9987168c7 100644 --- a/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py +++ b/packages/nvidia_nat_agno/src/nat/plugins/agno/llm.py @@ -82,11 +82,11 @@ async def nim_agno(llm_config: NIMModelConfig, _builder: Builder): from agno.models.nvidia import Nvidia - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.AGNO) config_obj = { **llm_config.model_dump( - exclude={"type", "model_name", "thinking"}, + exclude={"type", "model_name", "thinking", "api_type"}, by_alias=True, exclude_none=True, ), @@ -105,7 +105,7 @@ async def openai_agno(llm_config: OpenAIModelConfig, _builder: Builder): config_obj = { **llm_config.model_dump( - exclude={"type", "model_name", "thinking"}, + exclude={"type", "model_name", "thinking", "api_type"}, by_alias=True, exclude_none=True, ), @@ -124,11 +124,11 @@ async def litellm_agno(llm_config: LiteLlmModelConfig, _builder: Builder): from agno.models.litellm.chat import LiteLLM - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.AGNO) client = LiteLLM( **llm_config.model_dump( - exclude={"type", "thinking", "model_name"}, + exclude={"type", "thinking", "model_name", "api_type"}, by_alias=True, exclude_none=True, ), diff --git a/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py b/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py index c686e528a..c26baa491 100644 --- a/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py +++ b/packages/nvidia_nat_crewai/src/nat/plugins/crewai/llm.py @@ -75,6 +75,8 @@ async def azure_openai_crewai(llm_config: AzureOpenAIModelConfig, _builder: Buil from crewai import LLM + validate_no_responses_api(llm_config, LLMFrameworkEnum.CREWAI) + # https://docs.crewai.com/en/concepts/llms#azure api_key = llm_config.api_key or os.environ.get("AZURE_OPENAI_API_KEY") or os.environ.get("AZURE_API_KEY") @@ -94,13 +96,7 @@ async def azure_openai_crewai(llm_config: AzureOpenAIModelConfig, _builder: Buil client = LLM( **llm_config.model_dump( - exclude={ - "type", - "api_key", - "azure_endpoint", - "azure_deployment", - "thinking", - }, + exclude={"type", "api_key", "azure_endpoint", "azure_deployment", "thinking", "api_type"}, by_alias=True, exclude_none=True, ), @@ -115,7 +111,7 @@ async def nim_crewai(llm_config: NIMModelConfig, _builder: Builder): from crewai import LLM - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.CREWAI) # Because CrewAI uses a different environment variable for the API key, we need to set it here manually if llm_config.api_key is None and "NVIDIA_NIM_API_KEY" not in os.environ: @@ -124,7 +120,9 @@ async def nim_crewai(llm_config: NIMModelConfig, _builder: Builder): os.environ["NVIDIA_NIM_API_KEY"] = nvidia_api_key client = LLM( - **llm_config.model_dump(exclude={"type", "model_name", "thinking"}, by_alias=True, exclude_none=True), + **llm_config.model_dump(exclude={"type", "model_name", "thinking", "api_type"}, + by_alias=True, + exclude_none=True), model=f"nvidia_nim/{llm_config.model_name}", ) @@ -136,9 +134,9 @@ async def openai_crewai(llm_config: OpenAIModelConfig, _builder: Builder): from crewai import LLM - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.CREWAI) - client = LLM(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + client = LLM(**llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(client, llm_config) @@ -148,6 +146,8 @@ async def litellm_crewai(llm_config: LiteLlmModelConfig, _builder: Builder): from crewai import LLM - client = LLM(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + validate_no_responses_api(llm_config, LLMFrameworkEnum.CREWAI) + + client = LLM(**llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(client, llm_config) diff --git a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py index 6f36661b0..751b656f0 100644 --- a/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py +++ b/packages/nvidia_nat_langchain/src/nat/plugins/langchain/llm.py @@ -34,6 +34,7 @@ from nat.llm.utils.thinking import FunctionArgumentWrapper from nat.llm.utils.thinking import patch_with_thinking from nat.utils.exception_handlers.automatic_retries import patch_with_retry +from nat.utils.responses_api import validate_no_responses_api from nat.utils.type_utils import override logger = logging.getLogger(__name__) @@ -115,12 +116,10 @@ async def aws_bedrock_langchain(llm_config: AWSBedrockModelConfig, _builder: Bui from langchain_aws import ChatBedrockConverse - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("AWS Bedrock only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LANGCHAIN) client = ChatBedrockConverse(**llm_config.model_dump( - exclude={"type", "context_size", "thinking"}, + exclude={"type", "context_size", "thinking", "api_type"}, by_alias=True, exclude_none=True, )) @@ -133,11 +132,10 @@ async def azure_openai_langchain(llm_config: AzureOpenAIModelConfig, _builder: B from langchain_openai import AzureChatOpenAI - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("Azure OpenAI only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LANGCHAIN) - client = AzureChatOpenAI(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + client = AzureChatOpenAI( + **llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(client, llm_config) @@ -147,13 +145,13 @@ async def nim_langchain(llm_config: NIMModelConfig, _builder: Builder): from langchain_nvidia_ai_endpoints import ChatNVIDIA - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LANGCHAIN) # prefer max_completion_tokens over max_tokens client = ChatNVIDIA( - **llm_config.model_dump(exclude={"type", "max_tokens", "thinking"}, by_alias=True, exclude_none=True), + **llm_config.model_dump(exclude={"type", "max_tokens", "thinking", "api_type"}, + by_alias=True, + exclude_none=True), max_completion_tokens=llm_config.max_tokens, ) @@ -170,7 +168,7 @@ async def openai_langchain(llm_config: OpenAIModelConfig, _builder: Builder): use_responses_api=True, use_previous_response_id=True, **llm_config.model_dump( - exclude={"type", "thinking"}, + exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True, )) @@ -178,7 +176,7 @@ async def openai_langchain(llm_config: OpenAIModelConfig, _builder: Builder): # If stream_usage is specified, it will override the default value of True. client = ChatOpenAI(stream_usage=True, **llm_config.model_dump( - exclude={"type", "thinking"}, + exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True, )) @@ -191,6 +189,9 @@ async def litellm_langchain(llm_config: LiteLlmModelConfig, _builder: Builder): from langchain_litellm import ChatLiteLLM - client = ChatLiteLLM(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + validate_no_responses_api(llm_config, LLMFrameworkEnum.LANGCHAIN) + + client = ChatLiteLLM( + **llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(client, llm_config) diff --git a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py index decd9492b..2b0a84ba2 100644 --- a/packages/nvidia_nat_langchain/tests/test_llm_langchain.py +++ b/packages/nvidia_nat_langchain/tests/test_llm_langchain.py @@ -65,7 +65,7 @@ async def test_basic_creation(self, mock_chat, nim_cfg, mock_builder): @patch("langchain_nvidia_ai_endpoints.ChatNVIDIA") async def test_api_type_validation(self, mock_chat, nim_cfg_wrong_api, mock_builder): """Non-chat-completion API types must raise a ValueError.""" - with pytest.raises(ValueError, match="only supports chat completion"): + with pytest.raises(ValueError): async with nim_langchain(nim_cfg_wrong_api, mock_builder): pass mock_chat.assert_not_called() @@ -154,7 +154,7 @@ async def test_basic_creation(self, mock_chat, bedrock_cfg, mock_builder): @patch("langchain_aws.ChatBedrockConverse") async def test_api_type_validation(self, mock_chat, bedrock_cfg_wrong_api, mock_builder): - with pytest.raises(ValueError, match="only supports chat completion"): + with pytest.raises(ValueError): async with aws_bedrock_langchain(bedrock_cfg_wrong_api, mock_builder): pass mock_chat.assert_not_called() diff --git a/packages/nvidia_nat_llama_index/pyproject.toml b/packages/nvidia_nat_llama_index/pyproject.toml index 1ae4742f2..767fd54b7 100644 --- a/packages/nvidia_nat_llama_index/pyproject.toml +++ b/packages/nvidia_nat_llama_index/pyproject.toml @@ -31,7 +31,7 @@ dependencies = [ "llama-index-llms-bedrock~=0.3.8", "llama-index-llms-litellm~=0.5.1", "llama-index-llms-nvidia~=0.3.4", - "llama-index-llms-openai>=0.4.2", + "llama-index-llms-openai>=0.4.2,<1.0.0", "llama-index-readers-file~=0.4.4", "llama-index~=0.12.40", ] diff --git a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py index f2972e7d6..36a2c8d33 100644 --- a/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py +++ b/packages/nvidia_nat_llama_index/src/nat/plugins/llama_index/llm.py @@ -32,6 +32,7 @@ from nat.llm.utils.thinking import FunctionArgumentWrapper from nat.llm.utils.thinking import patch_with_thinking from nat.utils.exception_handlers.automatic_retries import patch_with_retry +from nat.utils.responses_api import validate_no_responses_api from nat.utils.type_utils import override ModelType = TypeVar("ModelType") @@ -83,12 +84,10 @@ async def aws_bedrock_llama_index(llm_config: AWSBedrockModelConfig, _builder: B from llama_index.llms.bedrock import Bedrock - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("AWS Bedrock LLM only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LLAMA_INDEX) # LlamaIndex uses context_size instead of max_tokens - llm = Bedrock(**llm_config.model_dump(exclude={"type", "top_p", "thinking"}, by_alias=True)) + llm = Bedrock(**llm_config.model_dump(exclude={"type", "top_p", "thinking", "api_type"}, by_alias=True)) yield _patch_llm_based_on_config(llm, llm_config) @@ -98,11 +97,9 @@ async def azure_openai_llama_index(llm_config: AzureOpenAIModelConfig, _builder: from llama_index.llms.azure_openai import AzureOpenAI - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("Azure OpenAI only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LLAMA_INDEX) - llm = AzureOpenAI(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True)) + llm = AzureOpenAI(**llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True)) yield _patch_llm_based_on_config(llm, llm_config) @@ -112,11 +109,9 @@ async def nim_llama_index(llm_config: NIMModelConfig, _builder: Builder): from llama_index.llms.nvidia import NVIDIA - if llm_config.api_type != APITypeEnum.CHAT_COMPLETION: - raise ValueError("NVIDIA AI Endpoints only supports chat completion API type. " - f"Received: {llm_config.api_type}") + validate_no_responses_api(llm_config, LLMFrameworkEnum.LLAMA_INDEX) - llm = NVIDIA(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + llm = NVIDIA(**llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(llm, llm_config) @@ -128,9 +123,11 @@ async def openai_llama_index(llm_config: OpenAIModelConfig, _builder: Builder): from llama_index.llms.openai import OpenAIResponses if llm_config.api_type == APITypeEnum.RESPONSES: - llm = OpenAIResponses(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + llm = OpenAIResponses( + **llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) else: - llm = OpenAI(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + llm = OpenAI( + **llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(llm, llm_config) @@ -140,6 +137,8 @@ async def litellm_llama_index(llm_config: LiteLlmModelConfig, _builder: Builder) from llama_index.llms.litellm import LiteLLM - llm = LiteLLM(**llm_config.model_dump(exclude={"type", "thinking"}, by_alias=True, exclude_none=True)) + validate_no_responses_api(llm_config, LLMFrameworkEnum.LLAMA_INDEX) + + llm = LiteLLM(**llm_config.model_dump(exclude={"type", "thinking", "api_type"}, by_alias=True, exclude_none=True)) yield _patch_llm_based_on_config(llm, llm_config) diff --git a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py index a95b7b28f..c70a0d70a 100644 --- a/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py +++ b/packages/nvidia_nat_llama_index/tests/test_llm_llama_index.py @@ -61,7 +61,7 @@ async def test_basic_creation(self, mock_nv, nim_cfg, mock_builder): @patch("llama_index.llms.nvidia.NVIDIA") async def test_api_type_validation(self, mock_nv, nim_cfg_bad_api, mock_builder): """Non-chat API types must raise.""" - with pytest.raises(ValueError, match="only supports chat completion"): + with pytest.raises(ValueError): async with nim_llama_index(nim_cfg_bad_api, mock_builder): pass mock_nv.assert_not_called() @@ -137,7 +137,7 @@ async def test_basic_creation(self, mock_bedrock, br_cfg, mock_builder): @patch("llama_index.llms.bedrock.Bedrock") async def test_api_type_validation(self, mock_bedrock, br_cfg_bad_api, mock_builder): - with pytest.raises(ValueError, match="only supports chat completion"): + with pytest.raises(ValueError): async with aws_bedrock_llama_index(br_cfg_bad_api, mock_builder): pass mock_bedrock.assert_not_called() diff --git a/packages/nvidia_nat_semantic_kernel/src/nat/plugins/semantic_kernel/llm.py b/packages/nvidia_nat_semantic_kernel/src/nat/plugins/semantic_kernel/llm.py index dc7b8217f..a030546f8 100644 --- a/packages/nvidia_nat_semantic_kernel/src/nat/plugins/semantic_kernel/llm.py +++ b/packages/nvidia_nat_semantic_kernel/src/nat/plugins/semantic_kernel/llm.py @@ -90,7 +90,7 @@ async def azure_openai_semantic_kernel(llm_config: AzureOpenAIModelConfig, _buil from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.SEMANTIC_KERNEL) llm = AzureChatCompletion( api_key=llm_config.api_key, @@ -107,7 +107,7 @@ async def openai_semantic_kernel(llm_config: OpenAIModelConfig, _builder: Builde from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion - validate_no_responses_api(llm_config) + validate_no_responses_api(llm_config, LLMFrameworkEnum.SEMANTIC_KERNEL) llm = OpenAIChatCompletion(ai_model_id=llm_config.model_name) diff --git a/src/nat/data_models/llm.py b/src/nat/data_models/llm.py index 5f107512c..6c5467822 100644 --- a/src/nat/data_models/llm.py +++ b/src/nat/data_models/llm.py @@ -35,8 +35,7 @@ class LLMBaseConfig(TypedBaseModel, BaseModelRegistryTag): json_schema_extra={ "enum": [e.value for e in APITypeEnum], "examples": [e.value for e in APITypeEnum], - }, - exclude=True) + }) LLMBaseConfigT = typing.TypeVar("LLMBaseConfigT", bound=LLMBaseConfig) diff --git a/src/nat/profiler/callbacks/langchain_callback_handler.py b/src/nat/profiler/callbacks/langchain_callback_handler.py index 9efe24f69..bb10f08b3 100644 --- a/src/nat/profiler/callbacks/langchain_callback_handler.py +++ b/src/nat/profiler/callbacks/langchain_callback_handler.py @@ -100,16 +100,10 @@ def _extract_token_base_model(self, usage_metadata: dict[str, Any]) -> TokenUsag prompt_tokens = usage_metadata.get("input_tokens", 0) completion_tokens = usage_metadata.get("output_tokens", 0) total_tokens = usage_metadata.get("total_tokens", 0) - cache_tokens = 0 - reasoning_tokens = 0 - if "input_token_details" in usage_metadata: - if "cache_read" in usage_metadata["input_token_details"]: - cache_tokens = usage_metadata["input_token_details"]["cache_read"] + cache_tokens = usage_metadata.get("input_token_details", {}).get("cache_read", 0) - if "output_token_details" in usage_metadata: - if "reasoning" in usage_metadata["output_token_details"]: - reasoning_tokens = usage_metadata["output_token_details"]["reasoning"] + reasoning_tokens = usage_metadata.get("output_token_details", {}).get("reasoning", 0) return TokenUsageBaseModel(prompt_tokens=prompt_tokens, completion_tokens=completion_tokens, diff --git a/src/nat/profiler/callbacks/llama_index_callback_handler.py b/src/nat/profiler/callbacks/llama_index_callback_handler.py index a4ba27aaf..5f5f36e08 100644 --- a/src/nat/profiler/callbacks/llama_index_callback_handler.py +++ b/src/nat/profiler/callbacks/llama_index_callback_handler.py @@ -200,7 +200,7 @@ def on_event_end( except Exception: pass - # Append usage data to AIQ Toolkit usage stats + # Append usage data to NAT usage stats with self._lock: stats = IntermediateStepPayload( event_type=IntermediateStepType.LLM_END, diff --git a/src/nat/utils/responses_api.py b/src/nat/utils/responses_api.py index 8c3d4cc27..ab060ea0e 100644 --- a/src/nat/utils/responses_api.py +++ b/src/nat/utils/responses_api.py @@ -14,12 +14,13 @@ # limitations under the License. # pylint: disable=raising-format-tuple +from nat.builder.framework_enum import LLMFrameworkEnum from nat.data_models.llm import APITypeEnum -def validate_no_responses_api(llm_config): +def validate_no_responses_api(llm_config, framework: LLMFrameworkEnum): """Validate that the LLM config does not use the Responses API.""" if llm_config.api_type == APITypeEnum.RESPONSES: - raise ValueError("Responses API is not supported for config %s. Please use a different API type.", - str(llm_config)) + raise ValueError(f"Responses API is not supported for config {str(type(llm_config))} in framework {framework}. " + f"Please use a different API type.") diff --git a/uv.lock b/uv.lock index efc758077..9818e5d77 100644 --- a/uv.lock +++ b/uv.lock @@ -6108,7 +6108,7 @@ requires-dist = [ { name = "llama-index-llms-bedrock", specifier = "~=0.3.8" }, { name = "llama-index-llms-litellm", specifier = "~=0.5.1" }, { name = "llama-index-llms-nvidia", specifier = "~=0.3.4" }, - { name = "llama-index-llms-openai", specifier = ">=0.4.2" }, + { name = "llama-index-llms-openai", specifier = ">=0.4.2,<1.0.0" }, { name = "llama-index-readers-file", specifier = "~=0.4.4" }, { name = "nvidia-nat", editable = "." }, ] From 4441284c9d1c4501a5b67c65f34900a54cc9e4c9 Mon Sep 17 00:00:00 2001 From: dnandakumar-nv Date: Mon, 20 Oct 2025 14:16:00 -0400 Subject: [PATCH 69/69] Update README to clarify API key setup for Responses API Added instructions for setting the OPENAI_API_KEY for the Responses API. Removed redundant prerequisite section to streamline the documentation and avoid duplication. Signed-off-by: dnandakumar-nv --- examples/agents/tool_calling/README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/agents/tool_calling/README.md b/examples/agents/tool_calling/README.md index 16f846aef..1e4ed9255 100644 --- a/examples/agents/tool_calling/README.md +++ b/examples/agents/tool_calling/README.md @@ -87,6 +87,13 @@ If you have not already done so, follow the [Obtaining API Keys](../../../docs/s ```bash export NVIDIA_API_KEY= ``` + +If you will be using the Responses API, also export your model's API key as the `OPENAI_API_KEY` as shown below. + +```bash +export OPENAI_API_KEY= +``` + --- ## Run the Workflow @@ -189,13 +196,6 @@ OpenAI's Responses API is a unified endpoint for reasoning models that supports For current capabilities and model support, see OpenAI's documentation for the Responses API. -#### Prerequisites -- Set your OpenAI API key in the environment: - ```bash - export OPENAI_API_KEY= - ``` -- Use an OpenAI model that supports the Responses API and the tools you enable (for example, `o3`, `o4-mini`, or a compatible `gpt-*` model that advertises Responses support). - #### Run the Responses API agent An example configuration is provided at `examples/agents/tool_calling/configs/config-responses-api.yml`. Run it from the NeMo Agent toolkit repo root: