tool_test.go
Overview
This file contains unit tests for the geminitool package, specifically targeting the functionality of the GeminiTool type's request processing capabilities. It validates the behavior of the ProcessRequest method, which adds Gemini-native tool configurations (like Google Search) to the LLM request payloads. The tests ensure that the tool is correctly appended to the LLM request's tool list under various scenarios, including empty requests, requests with pre-existing tools, and error cases such as a nil request.
The file primarily focuses on correctness of request augmentation, verifying that the GeminiTool complies with the internal RequestProcessor interface and modifies the LLM request as expected.
Detailed Explanation
Test Function: TestGeminiTool_ProcessRequest
func TestGeminiTool_ProcessRequest(t *testing.T)
Purpose:
Validates theProcessRequestmethod of theGeminiToolimplementation, checking if it properly adds a GeminiToolto the LLM request's tool list.Parameters:
t *testing.T: Standard Go testing framework parameter for managing test state and reporting.
Test Cases:
The test iterates over a set of subtests defined intestCases, covering these scenarios:Add to Empty Request:
Input: A
genai.Toolwith aGoogleSearchtool configured.Request: An empty
model.LLMRequestwithout any tools.Expectation: The tool list in the request after processing should contain the single
GoogleSearchtool.
Add to Existing Tools:
Input: A
genai.Toolwith aGoogleSearchtool.Request: An
LLMRequestwith a pre-existing tool,GoogleMaps.Expectation: The resulting tool list should contain both the original
GoogleMapstool and the newly addedGoogleSearchtool, preserving order.
Error on Nil Request:
Input: Not specified (nil tool).
Request:
nilpassed as the LLM request.Expectation: The method should return an error, as the request is invalid.
Test Steps:
For each case:Instantiate a
GeminiToolwith a dummy name and the input tool.Assert that this instance implements the
toolinternal.RequestProcessorinterface.Call
ProcessRequeston theGeminiToolwith the test case's LLM request.Check if an error was expected and assert accordingly.
If no error is expected, compare the resulting request's tool list with the expected tool list using
cmp.Diff.Report failures if the tool list differs or errors do not match expectations.
Return Value:
None (standard Go test function). Uses assertions andt.Fatalf/t.Errorfto signal test failures.Usage Example:
This test is run automatically as part ofgo testfor thegeminitoolpackage. It ensures that any changes to the tool request augmentation logic maintain backward compatibility and correctness.
Important Implementation Details
The test verifies that
GeminiToolimplements thetoolinternal.RequestProcessorinterface, which requires aProcessRequestmethod. This confirms integration with the internal tooling framework responsible for modifying LLM requests.The
ProcessRequestmethod adds the tool to theToolsslice inside theLLMRequest'sConfig(GenerateContentConfig). The test validates that this addition is correct and does not overwrite existing tools.Error handling is tested explicitly by passing a
nilrequest, ensuring robustness against invalid inputs.The test uses the
go-cmppackage to perform deep comparisons of tool slices, which is critical for ensuring structural equivalency rather than shallow equality.
Interaction with Other Components
geminitoolPackage:
The file tests the core behavior of theGeminiTooltype within thegeminitoolpackage. This package implements Gemini-native tools that are integrated into LLM requests.toolinternal.RequestProcessorInterface:
The test confirms thatGeminiToolimplements this interface from the internal tooling package. This interface defines the contract for processing LLM requests by adding or modifying tools.model.LLMRequestStruct:
The request object that holds configuration for LLM generation, including the list of tools available to the Gemini model during generation. The test manipulates this structure to verify tool inclusion.genai.Tooland Subtypes:
The Gemini API representations of tools such asGoogleSearchandGoogleMaps. This test uses these to simulate real-world tools that agents might add to their LLM requests.Testing Frameworks:
Uses Go's built-intestingpackage andgo-cmpfor structural comparison, enabling precise validation of request content after processing.
Diagram: Functional Flow of TestGeminiTool_ProcessRequest
flowchart TD
start([Start Test])
subtests[Iterate Test Cases]
createTool[Create GeminiTool instance]
checkInterface[Assert implements RequestProcessor]
callProcess[Call ProcessRequest]
checkError[Check error matches expectation]
checkTools[Compare request tools with expected]
reportFailError[Report error mismatch]
reportFailTools[Report tool list mismatch]
end([End Test])
start --> subtests
subtests --> createTool
createTool --> checkInterface
checkInterface -->|fail| reportFailError
checkInterface --> callProcess
callProcess --> checkError
checkError -->|mismatch| reportFailError
checkError -->|match| checkTools
checkTools -->|mismatch| reportFailTools
checkTools -->|match| subtests
reportFailError --> end
reportFailTools --> end
subtests --> end
This flowchart illustrates the testing workflow for each test case, from creation of the GeminiTool instance, interface assertion, invocation of ProcessRequest, error checking, tool list verification, to reporting failures or proceeding to the next test case.
References to Related Topics
The
GeminiTooltested here builds on the Gemini-native capability of adding tools such as the Google Search Tool to LLM generation requests. This relates directly to the handling of real-time web search integration within agent workflows.The interface
toolinternal.RequestProcessorbelongs to the internal tooling framework described under the Tooling System, which defines how tools interact with agents and LLM requests.The
model.LLMRequeststruct and related configurations are part of the request processing paradigm in the LLM Integration and Agents topic, which covers how agents compose requests with tools and instructions.The testing methodology here ensures that the agent framework components properly compose tool configurations, linking to the broader Agent Lifecycle and Callbacks and Agent Workflow Management where tools influence agent behavior.