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Refactor CLI Config Manager and Add Provider Model Routes
- Removed deprecated constants and functions from cli-config-manager.ts. - Introduced new provider model presets in litellm-provider-models.ts for better organization and management of model information. - Created provider-routes.ts to handle API endpoints for retrieving provider information and models. - Added integration tests for provider routes to ensure correct functionality and response structure. - Implemented unit tests for settings persistence functions, covering various scenarios and edge cases. - Enhanced error handling and validation in the new routes and settings functions.
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@@ -477,7 +477,7 @@ Task(subagent_type="{meta.agent}",
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- TODO List: {session.todo_list_path}
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- Summaries: {session.summaries_dir}
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**Execution**: Read task JSON → Parse flow_control → Execute implementation_approach → Update TODO_LIST.md → Generate summary",
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**Execution**: Read task JSON → Execute pre_analysis → Check execution_config.method → (CLI: handoff to CLI tool | Agent: direct implementation) → Update TODO_LIST.md → Generate summary",
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description="Implement: {task.id}")
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```
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@@ -486,9 +486,11 @@ Task(subagent_type="{meta.agent}",
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- `[FLOW_CONTROL]`: Triggers flow_control.pre_analysis execution
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**Why Path-Based**: Agent (code-developer.md) autonomously:
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- Reads and parses task JSON (requirements, acceptance, flow_control)
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- Loads tech stack guidelines based on detected language
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- Executes pre_analysis steps and implementation_approach
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- Reads and parses task JSON (requirements, acceptance, flow_control, execution_config)
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- Executes pre_analysis steps (Phase 1: context gathering)
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- Checks execution_config.method (Phase 2: determine mode)
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- CLI mode: Builds handoff prompt and executes via ccw cli with resume strategy
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- Agent mode: Directly implements using modification_points and logic_flow
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- Generates structured summary with integration points
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Embedding task content in prompt creates duplication and conflicts with agent's parsing logic.
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@@ -115,14 +115,26 @@ const taskId = taskIdMatch?.[1]
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4. **Parse Execution Intent** (from requirements text):
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```javascript
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// Extract execution method change from requirements
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const execPatterns = {
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cli_codex: /使用\s*(codex|Codex)\s*执行|改用\s*(codex|Codex)/i,
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cli_gemini: /使用\s*(gemini|Gemini)\s*执行|改用\s*(gemini|Gemini)/i,
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cli_qwen: /使用\s*(qwen|Qwen)\s*执行|改用\s*(qwen|Qwen)/i,
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agent: /改为\s*Agent\s*执行|使用\s*Agent\s*执行/i
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// Dynamic tool detection from cli-tools.json
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// Read enabled tools: ["gemini", "qwen", "codex", ...]
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const enabledTools = loadEnabledToolsFromConfig(); // See ~/.claude/cli-tools.json
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// Build dynamic patterns from enabled tools
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function buildExecPatterns(tools) {
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const patterns = {
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agent: /改为\s*Agent\s*执行|使用\s*Agent\s*执行/i
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};
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tools.forEach(tool => {
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// Pattern: "使用 {tool} 执行" or "改用 {tool}"
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patterns[`cli_${tool}`] = new RegExp(
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`使用\\s*(${tool})\\s*执行|改用\\s*(${tool})`, 'i'
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);
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});
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return patterns;
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}
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const execPatterns = buildExecPatterns(enabledTools);
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let executionIntent = null
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for (const [key, pattern] of Object.entries(execPatterns)) {
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if (pattern.test(requirements)) {
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