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The @agent decorator was already correctly implemented in convex/codeGenerator.ts with: Preprocessing hooks (preprocess_message) for input validation and logging Postprocessing hooks (postprocess_response) for output formatting and error handling Full decorator configuration including model, system_prompt, tools, memory, reasoning, and container_setup Async agent methods (run and stream_response) What I Implemented ✓ Subtask 4.1: @tool Decorator Implementation Added isBuiltInTool() function to distinguish between built-in and custom tools Added generateCustomToolFunction() to generate custom tool functions with @tool decorator Updated generateToolConfigs() to generate proper @tool decorated functions for custom tools Tool decorators include: Function name and description Parameter schema with types and descriptions Async function signatures Error handling and logging Subtask 4.2: Comprehensive Tests Created convex/agentCodeGeneration.test.ts with 19 tests covering: @agent decorator presence and configuration Preprocessing and postprocessing hooks Tool inclusion in decorator Memory and reasoning configuration Container setup Async method generation @tool decorator for custom tools Tool parameter schema generation Built-in vs custom tool handling Requirements.txt generation with base and tool-specific packages Environment variable inclusion Multiple tool combinations (built-in + custom) Python syntax validation Test Results ✓ All 19 tests pass successfully: 7 tests for @agent decorator functionality 5 tests for @tool decorator functionality 3 tests for requirements.txt generation 2 tests for environment variables 2 tests for multiple tool combinations The implementation satisfies all requirements (2.1-2.7, 8.1-8.7, 10.1-10.4) from the comprehensive testing suite specification. Had to fix auth, mcp, testing, and UIs, plus diagram process needed to be added.
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Pull Request Overview
This PR adds comprehensive agent code generation capabilities with proper decorators, testing infrastructure, authentication improvements, and architecture preview functionality. The changes support multi-tier AWS deployment models and improve the overall developer experience.
Key Changes
- Implemented
@agentand@tooldecorators for generated agent code with preprocessing/postprocessing hooks - Added architecture preview component to visualize deployment tiers and AWS resources
- Fixed authentication configuration to support multiple OAuth providers and return empty arrays for unauthenticated users
- Added comprehensive test suites for agent code generation and deployment workflows
Reviewed Changes
Copilot reviewed 14 out of 15 changed files in this pull request and generated 1 comment.
Show a summary per file
| File | Description |
|---|---|
| vitest.config.ts | Extended test configuration to include React component tests |
| src/components/MCPManagementPanel.tsx | Added comment clarifying auth handling in query |
| src/components/ArchitecturePreview.tsx | New component for visualizing deployment architecture and costs |
| src/components/ArchitecturePreview.test.tsx | Test suite for tier detection logic |
| src/components/AgentMCPTester.tsx | Fixed MCP endpoint URL to use Convex site URL |
| src/components/AgentMCPConfig.tsx | Fixed MCP endpoint URL to use Convex site URL |
| src/components/AgentBuilder.tsx | Added architecture preview step to agent builder workflow |
| convex/modelRegistry.ts | Added Claude 4.5 Haiku model and corrected Opus model name |
| convex/mcpConfig.ts | Changed error throwing to returning empty arrays for unauthenticated users |
| convex/integration.test.ts | Added extensive deployment integration tests |
| convex/codeGenerator.ts | Refactored tool generation to support @tool decorators for custom tools |
| convex/auth.ts | Simplified provider configuration and removed conditional OAuth setup |
| convex/auth.config.ts | Restructured auth configuration with clearer domain/applicationID mappings |
| convex/agentCodeGeneration.test.ts | New comprehensive test suite for agent code generation |
Comments suppressed due to low confidence (1)
convex/codeGenerator.ts:1
- Corrected environment variable interpolation syntax by removing backslash escapes from dollar signs in Docker run command.
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| it("should handle AWS deployment type with different casing", () => { | ||
| const tier = determineDeploymentTier("AWS", "bedrock-model"); | ||
| expect(tier).toBe("tier1"); // Falls through to default (tier1) since "AWS" !== "aws" |
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The test expects tier1 for uppercase 'AWS' deployment type due to case sensitivity, but the comment suggests this is unintended behavior. Consider making the deployment type comparison case-insensitive in the actual implementation to handle user input variations.
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The @agent decorator was already correctly implemented in convex/codeGenerator.ts with:
Preprocessing hooks (preprocess_message) for input validation and logging Postprocessing hooks (postprocess_response) for output formatting and error handling Full decorator configuration including model, system_prompt, tools, memory, reasoning, and container_setup Async agent methods (run and stream_response)
What I Implemented ✓
Subtask 4.1: @tool Decorator Implementation
Added isBuiltInTool() function to distinguish between built-in and custom tools Added generateCustomToolFunction() to generate custom tool functions with @tool decorator Updated generateToolConfigs() to generate proper @tool decorated functions for custom tools Tool decorators include:
Function name and description
Parameter schema with types and descriptions
Async function signatures
Error handling and logging
Subtask 4.2: Comprehensive Tests Created convex/agentCodeGeneration.test.ts with 19 tests covering:
@agent decorator presence and configuration
Preprocessing and postprocessing hooks
Tool inclusion in decorator
Memory and reasoning configuration
Container setup
Async method generation
@tool decorator for custom tools
Tool parameter schema generation
Built-in vs custom tool handling
Requirements.txt generation with base and tool-specific packages Environment variable inclusion
Multiple tool combinations (built-in + custom)
Python syntax validation
Test Results ✓
All 19 tests pass successfully:
7 tests for @agent decorator functionality
5 tests for @tool decorator functionality
3 tests for requirements.txt generation
2 tests for environment variables
2 tests for multiple tool combinations
The implementation satisfies all requirements (2.1-2.7, 8.1-8.7, 10.1-10.4) from the comprehensive testing suite specification.
Had to fix auth, mcp, testing, and UIs, plus diagram process needed to be added.