feat(aichat): add tool to test specific module in flow mode

[centdix]

Important

Enhances AI chat with a new tool for testing specific flow steps, updates placeholders, and improves schema handling and tool execution logic.

• Behavior:
  • Adds test_run_step tool in flow/core.ts to execute test runs for specific steps in a flow.
  • Updates test_run_flow tool in flow/core.ts to handle arguments parsing using buildTestRunArgs().
  • Modifies placeholders in AIChatInput.svelte for different AI modes.
• Tools:
  • Adds buildSchemaForTool() and buildTestRunArgs() in shared.ts for schema building and argument parsing.
  • Updates testRunScriptTool in script/core.ts to use buildTestRunArgs().
• Misc:
  • Removes placeholder logic from AIChatDisplay.svelte.
  • Adjusts formatting and logging in AIChatManager.svelte.ts and flow/core.ts.

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[centdix]

/ai review this PR

[claude]

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---

PR Code Review ✅

Task: Review PR that adds tool to test specific module in flow mode

Todo List:

• Read repository guidelines (CLAUDE.md)
• Examine modified files to understand the changes
• Analyze core functionality changes
• Review for bugs, performance, and security issues
• Check adherence to Svelte 5 best practices
• Provide detailed review feedback

---

Summary

This PR adds significant functionality to the AI chat system by introducing the ability to test specific modules/steps within flows. The core addition is a new test_run_step tool that allows testing individual flow components (rawscript, script, and flow steps) independently of the entire flow.

Key Changes Analysis

1. New Test Step Tool (flow/core.ts:352-713)

• ✅ Well-designed: The test_run_step tool is comprehensive and handles all major flow step types:
  • rawscript: Tests inline code within the step
  • script: Tests referenced script modules by hash or path
  • flow: Tests nested flow steps
• ✅ Good error handling: Proper validation for step existence and type support
• ✅ Proper authorization: Uses requiresConfirmation: true and showDetails: true for security

2. Shared Test Execution Framework (shared.ts:282-468)

• ✅ Excellent refactoring: Extracted common test execution logic into reusable functions:
  • executeTestRun(): Main execution orchestration
  • pollJobCompletion(): Handles async job polling with proper timeouts
  • TestRunConfig interface: Clean abstraction for different test types
• ✅ Robust error handling: Comprehensive timeout handling (60s max) and error reporting
• ✅ Performance considerations: Efficient result formatting with size limits (MAX_RESULT_LENGTH, MAX_LOG_LENGTH)

3. Enhanced Script Testing (script/core.ts:837-920)

• ✅ Smart code application: The script test tool now automatically applies suggested code changes before testing
• ✅ Schema inference: Dynamic schema building using inferArgs() for proper parameter validation
• ✅ Consistent API: Uses the same shared execution framework as flow testing

4. UI Integration (AIChatDisplay.svelte, AIChatInput.svelte, AIChatManager.svelte.ts)

• ✅ Minimal changes: UI changes are focused and don't introduce complexity
• ✅ Svelte 5 compliance: Code follows Svelte 5 best practices with $state, $derived, and proper rune usage

Security & Reliability Review

✅ Security:

• All test tools require user confirmation (requiresConfirmation: true)
• Proper workspace isolation in API calls
• No direct code execution without sandboxing (uses Windmill's preview system)

✅ Error Handling:

• Comprehensive validation for step IDs and types
• Graceful degradation when steps aren't found
• Timeout handling for long-running jobs
• Clear error messages for debugging

✅ Performance:

• Efficient job polling with exponential backoff
• Result size limiting to prevent memory issues
• Proper async/await usage throughout

Code Quality Assessment

✅ Architecture:

• Clean separation of concerns between flow, script, and shared testing logic
• Proper abstraction with TestRunConfig interface
• Consistent error handling patterns

✅ TypeScript Usage:

• Strong typing throughout with proper interfaces
• Good use of generic types in Tool<T> interface
• Proper async/await patterns

✅ Testing Integration:

• Follows existing patterns for tool confirmation and status updates
• Integrates well with the existing job execution system
• Maintains consistency with other AI chat tools

Minor Suggestions

1. Line 649 (flow/core.ts): Consider extracting the preprocessor args logic into a helper function for better readability:

   const getStepArgs = (moduleId: string, stepArgs: any) => 
     moduleId === 'preprocessor' ? { _ENTRYPOINT_OVERRIDE: 'preprocessor', ...stepArgs } : stepArgs

2. Line 622-633 (flow/core.ts): The error message construction could be more concise:

   const availableSteps = modules.map(m => m.id).join(', ')
   throw new Error(`Step '${stepId}' not found. Available: ${availableSteps}`)

3. Consider adding JSDoc comments for the new public functions in shared.ts to improve maintainability.

Verdict: APPROVED ✅

This is a well-implemented feature that adds significant value to the AI chat system. The code is clean, secure, performant, and follows existing patterns well. The shared execution framework is particularly well-designed and will likely be useful for future testing features.

The implementation demonstrates good understanding of the Windmill architecture and properly integrates with existing systems while maintaining security boundaries.

---

Branch: fg/test-tool-module
Job run: View workflow run

[claude]

Claude finished @centdix's task —— View job

---

PR Comprehensive Review ✅

Task: Provide comprehensive review of PR that adds tool to test specific module in flow mode

Todo List:

• Read repository guidelines and coding standards (CLAUDE.md)
• Examine all 6 modified files to understand the implementation
• Analyze code quality and adherence to best practices
• Review for potential bugs and issues
• Evaluate performance considerations
• Check security implications
• Provide constructive feedback with specific suggestions
• Add reproduction instructions for testers

---

Summary

This PR adds significant functionality to the AI chat system by introducing the ability to test specific modules/steps within flows. The implementation includes a new test_run_step tool, refactored common test execution logic, and enhanced script testing capabilities. Overall, this is a well-implemented feature that maintains code quality while adding valuable testing functionality.

Detailed Code Review

1. New Test Step Tool Implementation (flow/core.ts:352-713)

✅ Strengths:

• Comprehensive step type support: Handles all major flow step types (rawscript, script, flow)
• Proper error handling: Clear validation for step existence and type support
• Security considerations: Uses requiresConfirmation: true and showDetails: true appropriately
• Good error messages: Clear feedback when steps aren't found with helpful suggestions

✅ Code Quality:

• Clean separation of concerns between different step types
• Proper TypeScript typing throughout
• Good use of async/await patterns

Recommendations:

1. Line 632-633: Consider extracting error message construction:

   const availableSteps = modules.map(m => m.id).join(', ')
   throw new Error(`Step '${stepId}' not found. Available: ${availableSteps}`)

2. Line 649: Extract preprocessor logic into helper function:

   const getStepArgs = (moduleId: string, stepArgs: any) => 
     moduleId === 'preprocessor' ? { _ENTRYPOINT_OVERRIDE: 'preprocessor', ...stepArgs } : stepArgs

2. Shared Test Execution Framework (shared.ts:282-468)

✅ Excellent refactoring:

• Clean abstraction: executeTestRun() provides consistent interface for all test types
• Robust polling: pollJobCompletion() handles timeouts and errors gracefully
• Performance optimized: Result formatting with size limits prevents memory issues
• TypeScript excellence: Well-defined TestRunConfig interface

✅ Security & Reliability:

• Proper 60-second timeout handling
• Comprehensive error handling and logging
• Size limiting to prevent memory issues (MAX_RESULT_LENGTH, MAX_LOG_LENGTH)

3. Enhanced Script Testing (script/core.ts:837-920)

✅ Smart improvements:

• Automatic code application: Applies suggested changes before testing
• Schema inference: Dynamic parameter validation using inferArgs()
• Consistent pattern: Uses shared execution framework

Code Quality Assessment:

• Well-integrated with existing patterns
• Proper error handling throughout
• Good use of helper functions

4. UI Components Review

AIChatDisplay.svelte - Minimal change (line 287 removed):
✅ Clean: Follows Svelte 5 best practices, no issues

AIChatInput.svelte - Enhanced placeholder logic:
✅ Svelte 5 compliance:

• Proper use of $derived.by()
• Good event handling patterns
• Clean component structure

AIChatManager.svelte.ts - Enhanced mode switching:
✅ State management:

• Proper use of $state and $derived
• Clean method organization
• Good separation of concerns

5. Code Quality & Best Practices Analysis

Adherence to Repository Guidelines:

• ✅ Svelte 5 Best Practices: All UI components follow proper rune usage
• ✅ TypeScript Standards: Strong typing throughout, proper async/await usage
• ✅ Performance Considerations: Efficient polling, result size limiting
• ✅ Error Handling: Comprehensive error handling with user-friendly messages

Architecture Quality:

• ✅ Clean separation: Test logic properly abstracted into shared utilities
• ✅ Consistent patterns: Follows existing tool confirmation and status patterns
• ✅ Modularity: Well-organized code with clear responsibilities

6. Security Review

✅ Security measures in place:

• All test tools require user confirmation (requiresConfirmation: true)
• Proper workspace isolation in API calls
• No direct code execution without sandboxing (uses Windmill's preview system)
• Input validation and sanitization

7. Performance Considerations

✅ Optimizations implemented:

• Efficient job polling with 1-second intervals and 60-second timeout
• Result size limiting prevents memory issues
• Proper async/await usage throughout
• No unnecessary API calls or computations

8. Potential Issues & Minor Suggestions

Minor improvements:

1. Add JSDoc comments to the new public functions in shared.ts for better maintainability
2. Consider extracting constants for magic numbers (60-second timeout, polling intervals)
3. Error message consistency - some error messages could be more consistent in format

No critical bugs identified - the implementation is solid and follows best practices.

Final Assessment

Overall Rating: EXCELLENT ✅

This PR demonstrates:

• High code quality with proper TypeScript usage and error handling
• Good architecture with clean abstractions and shared utilities
• Security awareness with proper confirmation flows
• Performance considerations with timeouts and result size limits
• Adherence to project standards including Svelte 5 best practices

The implementation adds significant value to the AI chat system while maintaining code quality and following established patterns.

Testing Instructions for QA

To test the new step testing functionality in the Windmill app:

1. Open a flow in the Flow Editor - Navigate to any existing flow or create a new flow with multiple steps including different step types (raw scripts, script references, nested flows)

2. Open AI Chat in Flow Mode - Click the AI chat button and ensure you're in Flow mode (should show flow-specific options and context)

3. Test the new step testing tool - Use prompts like:

   • "Test step [step_id]" - Tests a specific step by its ID
   • "Test the email step with args {email: '[email protected]'}" - Tests with custom arguments
   • "Run a test of the data processing step" - Tests using default step inputs

4. Verify different step types work - Test each type:

   • Raw script steps: Should execute the inline code
   • Script steps: Should execute the referenced script
   • Flow steps: Should execute the nested flow

5. Check confirmation flow - The tool should require user confirmation before executing, displaying step details and allowing cancel/proceed options

6. Verify results display - After execution, check that results, logs, and any errors are properly displayed in the chat interface with appropriate formatting and size limits

The feature should integrate seamlessly with the existing AI chat workflow while providing detailed testing capabilities for individual flow components.

---

Branch: fg/test-tool-module
Job run: View workflow run

[ellipsis-dev]

Caution

Changes requested ❌

Reviewed everything up to 332a145 in 3 minutes and 8 seconds. Click for details.

• Reviewed 542 lines of code in 6 files
• Skipped 0 files when reviewing.
• Skipped posting 7 draft comments. View those below.
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1. frontend/src/lib/components/copilot/chat/flow/core.ts:622

• Draft comment:
  In the test_run_step tool (lines ~622–709), module.value is accessed directly. Consider using optional chaining or more robust validation to ensure module.value exists to prevent potential runtime errors if the module structure is unexpected.
• Reason this comment was not posted:
  Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 10% vs. threshold = 50% The code already has validation that targetModule exists before it's assigned to module. The FlowModule type likely requires value to be present. Adding optional chaining would be redundant given the existing null check. The comment seems overly cautious without understanding the type system. I could be wrong about the FlowModule type - I don't see its full definition. Maybe value is actually optional in some cases? Even if value was optional, the code already has a null check for the module itself. If value was undefined, it would fail on the type check which is the desired behavior to fail fast. The comment should be deleted. The code already has appropriate validation, and adding optional chaining would be redundant given the existing null check.

2. frontend/src/lib/components/copilot/chat/shared.ts:260

• Draft comment:
  In buildSchemaForTool, the fallback sets the tool parameter to expect a JSON string for args. While this is a reasonable fallback, consider adding more detailed logging of the invalid property names to help future debugging in complex schemas.
• Reason this comment was not posted:
  Comment looked like it was already resolved.

3. frontend/src/lib/components/copilot/chat/script/core.ts:902

• Draft comment:
  In testRunScriptTool, the use of an async function (using function() syntax) relies on proper 'this' binding when referencing 'this.def'. For consistency and to avoid potential binding issues, consider using an arrow function instead.
• Reason this comment was not posted:
  Comment looked like it was already resolved.

4. frontend/src/lib/components/copilot/chat/shared.ts:222

• Draft comment:
  When constructing hub script paths (in createSearchHubScriptsTool), using replaceAll with a regex to replace whitespace may not handle all special characters gracefully. Consider verifying that the generated paths are URL‐safe.
• Reason this comment was not posted:
  Comment was not on a location in the diff, so it can't be submitted as a review comment.

5. frontend/src/lib/components/copilot/chat/AIChatInput.svelte:49

• Draft comment:
  Typo suggestion: Consider using 'follow-up' instead of 'followup' in the returned string for clarity and consistency.
• Reason this comment was not posted:
  Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 10% vs. threshold = 50% This is a very minor stylistic suggestion that doesn't impact functionality or code quality. The current spelling is not incorrect - both forms are acceptable. This kind of nitpicky comment about UI text doesn't add significant value and could create unnecessary back-and-forth. Perhaps maintaining consistent hyphenation across the codebase is important for UI text quality? Maybe there's a style guide that mandates 'follow-up'? Even if there is a style guide preference, this is too minor of an issue to warrant a PR comment. UI text consistency can be handled through other means like documentation or linting. Delete this comment as it's an unimportant stylistic suggestion about UI text that doesn't meaningfully improve the code.

6. frontend/src/lib/components/copilot/chat/flow/core.ts:540

• Draft comment:
  Typographical note: In the message text "Set forloop '${parsedArgs.id}' iterator expression", consider using "for loop" (i.e. with a space) for improved readability, unless "forloop" is an intentional naming convention.
• Reason this comment was not posted:
  Comment was on unchanged code.

7. frontend/src/lib/components/copilot/chat/shared.ts:260

• Draft comment:
  Typographical suggestion: In the comment, consider changing "if schema properties contains values" to "if schema properties contain values" since "properties" is plural.
• Reason this comment was not posted:
  Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 0% vs. threshold = 50% While the grammatical correction is technically accurate, code comments are not held to the same strict grammatical standards as documentation. The meaning is perfectly clear either way. This kind of minor grammatical nitpick creates noise in the PR review process without adding meaningful value. The comment is technically correct - it is fixing a real grammatical error. And clear communication, even in comments, has value. However, per our rules, we should not make purely informative comments that don't require clear code changes. Minor grammar fixes in comments fall into this category - they're not important enough to warrant a PR comment. This comment should be removed as it's a minor grammatical suggestion that doesn't meaningfully impact code quality or clarity.

Workflow ID: wflow_OCsiiOlyPlmm0Jvy

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