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docs(models): update model configuration to add supported field#1030

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Crunchyman-ralph merged 1 commit into
eyaltoledano:nextfrom
mm-parthy:update/label-unsupported-models
Jul 22, 2025
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docs(models): update model configuration to add supported field#1030
Crunchyman-ralph merged 1 commit into
eyaltoledano:nextfrom
mm-parthy:update/label-unsupported-models

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@mm-parthy

@mm-parthy mm-parthy commented Jul 22, 2025 •
edited by coderabbitai Bot
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This PR implements a model support classification system for Task Master by adding supported and reason fields to supported-models.json and updating the documentation generation to clearly display which models are available for use vs. those that are not currently supported.

Type of Change

  • Bug fix
  • [] New feature
  • Breaking change
  • Documentation update

What Was Implemented

1. Model Support Classification (scripts/modules/supported-models.json)

  • Added "supported": true to all functional models (the vast majority)
  • Added "supported": false and "reason" fields to models that are not currently usable, including:
    • Free OpenRouter models (due to severe rate limits and lack of tool support)
    • Other models with integration issues or availability problems

2. Enhanced Documentation Generation (docs/scripts/models-json-to-markdown.js)

  • Parses new supported and reason fields from the JSON configuration
  • Generates two distinct sections:
    • Supported Models - grouped by role (Main, Research, Fallback) as before
    • Unsupported Models - single table with "Reason" column explaining why each model is unavailable
  • Added logic to separate models based on the supported field
  • Preserves existing formatting and grouping for supported models

Benefits

  • Clear user guidance: Users can immediately see which models are available for configuration
  • Reduced confusion: No more attempts to configure unsupported models

Testing

  • I have tested this locally
  • All existing tests pass
  • Documentation generates correctly with new sections
  • JSON structure validates and parses properly

No breaking changes - existing functionality remains unchanged while adding valuable classification information for users.

Summary by CodeRabbit

  • New Features
    • The models documentation now includes a dedicated section listing unsupported models along with reasons for their status.
  • Bug Fixes
    • Only supported models are now shown in the available models list, ensuring unsupported models are excluded.
  • Documentation
    • Updated model data to clearly indicate which models are supported or unsupported, including explanations for unsupported models.

@changeset-bot

changeset-bot Bot commented Jul 22, 2025

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⚠️ No Changeset found

Latest commit: 2f2a326

Merging this PR will not cause a version bump for any packages. If these changes should not result in a new version, you're good to go. If these changes should result in a version bump, you need to add a changeset.

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@coderabbitai

coderabbitai Bot commented Jul 22, 2025 •
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Walkthrough

A new supported flag was introduced to the model definitions in supported-models.json, explicitly marking which models are supported or unsupported. Scripts that process these models now filter based on this flag, excluding unsupported models from available lists and adding a new markdown section listing unsupported models with reasons.

Changes

File(s) Change Summary
scripts/modules/supported-models.json Added "supported" boolean and "reason" fields to model entries; minor formatting and normalization adjustments.
scripts/modules/config-manager.js Modified getAvailableModels to filter out models where supported is not truthy.
docs/scripts/models-json-to-markdown.js Added generateUnsupportedTable function; updated markdown generation to include unsupported models with reasons.

Sequence Diagram(s)

sequenceDiagram
    participant JSON as supported-models.json
    participant Config as config-manager.js
    participant Markdown as models-json-to-markdown.js
    participant User

    User->>Markdown: Run script to generate markdown
    Markdown->>JSON: Load all model definitions
    JSON-->>Markdown: Return all models (with supported flag)
    Markdown->>Markdown: Filter models by supported flag
    Markdown->>Markdown: Generate tables for supported and unsupported models
    Markdown-->>User: Output markdown with all tables

    User->>Config: Request available models
    Config->>JSON: Load all model definitions
    JSON-->>Config: Return all models (with supported flag)
    Config->>Config: Filter out unsupported models
    Config-->>User: Return list of supported models
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Estimated code review effort

2 (~15 minutes)

📜 Recent review details

Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 6ae66b2 and 2f2a326.

📒 Files selected for processing (3)
  • docs/scripts/models-json-to-markdown.js (3 hunks)
  • scripts/modules/config-manager.js (1 hunks)
  • scripts/modules/supported-models.json (86 hunks)
📓 Path-based instructions (7)
scripts/modules/supported-models.json

📄 CodeRabbit Inference Engine (.cursor/rules/ai_providers.mdc)

Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Files:

  • scripts/modules/supported-models.json
scripts/modules/**

📄 CodeRabbit Inference Engine (.cursor/rules/dev_workflow.mdc)

When using the MCP server, restart it if core logic in scripts/modules or MCP tool/direct function definitions change.

Files:

  • scripts/modules/supported-models.json
  • scripts/modules/config-manager.js
scripts/modules/*

📄 CodeRabbit Inference Engine (.cursor/rules/tags.mdc)

scripts/modules/*: Every command that reads or writes tasks.json must be tag-aware
All command files must import getCurrentTag from utils.js
Every CLI command that operates on tasks must include the --tag CLI option
All commands must resolve the tag using the pattern: options.tag || getCurrentTag(projectRoot) || 'master'
All commands must find projectRoot with error handling before proceeding
All commands must pass { projectRoot, tag } as context to core functions
MCP direct functions must accept and use a context object containing projectRoot and tag, and pass them to core functions
Do not hard-code tag resolution (e.g., const tag = options.tag || 'master';); always use getCurrentTag
Do not omit the --tag CLI option in commands that operate on tasks
Do not omit the context parameter when calling core functions from commands
Do not call readJSON or writeJSON without passing projectRoot and tag

Files:

  • scripts/modules/supported-models.json
  • scripts/modules/config-manager.js
scripts/modules/config-manager.js

📄 CodeRabbit Inference Engine (.cursor/rules/ai_providers.mdc)

scripts/modules/config-manager.js: Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.
If adding Ollama or another provider not requiring an API key, add a specific check at the beginning of isApiKeySet and getMcpApiKeyStatus in scripts/modules/config-manager.js to return true immediately for that provider.

scripts/modules/config-manager.js: Import and use specific getters from scripts/modules/config-manager.js to access configuration values needed for application logic; pass the explicitRoot parameter to getters if calling from MCP direct functions.
Use isApiKeySet(providerName, session) from config-manager.js to check if a provider's key is available before attempting an AI call.
Handle potential ConfigurationError if the .taskmasterconfig file is missing or invalid when accessed via getConfig.

Files:

  • scripts/modules/config-manager.js
scripts/modules/*.js

📄 CodeRabbit Inference Engine (.cursor/rules/architecture.mdc)

Each module in scripts/modules/ should be focused on a single responsibility, following the modular architecture (e.g., commands.js for CLI command handling, task-manager.js for task data and core logic, dependency-manager.js for dependency management, ui.js for CLI output formatting, ai-services-unified.js for AI service integration, config-manager.js for configuration management, utils.js for utility functions).

scripts/modules/*.js: Export all core functions, helper functions, and utility methods needed by your new function or command from their respective modules. Explicitly review the module's export block to ensure every required dependency is included.
Pass all required parameters to functions you call within your implementation and verify that direct function parameters match their core function counterparts.
Use consistent file naming conventions: 'task_${id.toString().padStart(3, '0')}.txt', use path.join for composing file paths, and use appropriate file extensions (.txt for tasks, .json for data).
Use structured error objects with code and message properties, include clear error messages, and handle both function-specific and file system errors.
Import all silent mode utilities together from 'scripts/modules/utils.js' and always use isSilentMode() to check global silent mode status. Wrap core function calls within direct functions using enableSilentMode() and disableSilentMode() in a try/finally block if the core function might produce console output.
Core functions should check outputFormat === 'text' before displaying UI elements and use internal logging that respects silent mode.
Design functions to accept dependencies as parameters (dependency injection) and avoid hard-coded dependencies that are difficult to mock.
Keep pure logic separate from I/O operations or UI rendering to allow testing the logic without mocking complex dependencies.
When implementing core logic for new features, do so in 'scripts/modules/' before CLI or MCP interfaces, and d...

Files:

  • scripts/modules/config-manager.js
**/*.js

📄 CodeRabbit Inference Engine (.cursor/rules/tests.mdc)

**/*.js: Declare and initialize global variables at the top of modules to avoid hoisting issues.
Use proper function declarations to avoid hoisting issues and initialize variables before they are referenced.
Do not reference variables before their declaration in module scope.
Use dynamic imports (import()) to avoid initialization order issues in modules.

Files:

  • scripts/modules/config-manager.js
  • docs/scripts/models-json-to-markdown.js
docs/**/*

📄 CodeRabbit Inference Engine (.cursor/rules/new_features.mdc)

Add feature documentation to '/docs' folder, include tagged system usage examples, update command reference documentation, and provide migration notes if relevant.

Files:

  • docs/scripts/models-json-to-markdown.js
🧠 Learnings (4)
📓 Common learnings 
Learnt from: rtmcrc
PR: eyaltoledano/claude-task-master#933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/glossary.mdc:0-0
Timestamp: 2025-07-18T17:10:53.647Z
Learning: Guidelines for integrating new features into the Task Master CLI with tagged system considerations (new_features.mdc).

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/dev_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:12.852Z
Learning: Applies to .taskmaster/config.json : Do not manually edit `.taskmaster/config.json` unless you are certain of the changes; use the `task-master models` command or `models` MCP tool for configuration.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/git_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:31.773Z
Learning: Pull Request descriptions must use the provided template, including Task Overview, Subtasks Completed, Implementation Details, Testing, Breaking Changes, and Related Tasks

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/dev_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:12.852Z
Learning: For PRD-driven feature development, create a dedicated tag, draft a PRD in `.taskmaster/docs/`, parse it into tasks, and add a high-level reference in the master tag.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/changeset.mdc:0-0
Timestamp: 2025-07-18T17:07:53.100Z
Learning: Every pull request containing new features, bug fixes, breaking changes, performance improvements, significant refactoring, user-facing documentation updates, dependency updates, or impactful build/tooling changes should include a changeset file.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.
scripts/modules/supported-models.json (16)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/ai-services-unified.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services*.js : Ensure AI calls correctly handle and propagate telemetryData as described in 'telemetry.mdc'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/telemetry.mdc:0-0
Timestamp: 2025-07-18T17:14:54.098Z
Learning: Applies to scripts/modules/ai-services-unified.js : The telemetryData object returned by ai-services-unified.js must include the fields: timestamp, userId, commandName, modelUsed, providerName, inputTokens, outputTokens, totalTokens, totalCost, and currency.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/config-manager.js : Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: Applies to .taskmaster/config.json : All other Taskmaster settings (model choice, max tokens, temperature, log level, custom endpoints) must be managed in .taskmaster/config.json via the task-master models command or models MCP tool.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: Applies to .cursor/mcp.json : API keys for selected AI providers must exist in the mcp.json file to be accessible in MCP context.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ui.mdc:0-0
Timestamp: 2025-07-18T17:16:32.610Z
Learning: Applies to scripts/modules/ui.js : Display detailed, granular token breakdowns for AI-powered commands, including context sources with individual token counts and both token and character counts

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: When setting custom model IDs for Ollama or OpenRouter, use the --ollama or --openrouter flags to indicate the provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: OpenRouter custom models are validated against their live API. Ollama custom models are not validated live.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: The costs in supported AI models are expressed in dollars. An input/output value of 3 is $3.00. A value of 0.8 is $0.80.

scripts/modules/config-manager.js (16)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/config-manager.js : Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/ai-services-unified.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/config-manager.js : Use isApiKeySet(providerName, session) from config-manager.js to check if a provider's key is available before attempting an AI call.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Provider modules must export three functions: generateText, streamText, and generateObject.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Implement generateText, streamText, and generateObject functions in provider modules with basic validation and try/catch error handling.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/architecture.mdc:0-0
Timestamp: 2025-07-18T17:07:39.336Z
Learning: Applies to src/ai-providers/.js : Provider-specific wrappers for Vercel AI SDK functions must be implemented in src/ai-providers/.js, each file corresponding to a provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Provider modules must import the provider's create function from @ai-sdk/, and import generateText, streamText, generateObject from the core ai package, as well as the log utility from ../../scripts/modules/utils.js.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Create a new provider module file in src/ai-providers/ named .js when adding a new AI provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

docs/scripts/models-json-to-markdown.js (11)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/self_improve.mdc:0-0
Timestamp: 2025-07-18T17:13:11.216Z
Learning: Document breaking changes

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Implement generateText, streamText, and generateObject functions in provider modules with basic validation and try/catch error handling.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Use generateTextService and implement robust manual JSON parsing (with Zod validation after parsing) when structured output is needed, as generateObjectService has shown unreliability with some providers/schemas.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Use generateTextService and implement robust manual JSON parsing (with Zod validation after parsing) when structured output is needed, as generateObjectService has shown unreliability with some providers/schemas.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: After making changes to tasks.json, run the generate command to create or update individual Markdown files for each task.

🧰 Additional context used
📓 Path-based instructions (7)
scripts/modules/supported-models.json

📄 CodeRabbit Inference Engine (.cursor/rules/ai_providers.mdc)

Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Files:

  • scripts/modules/supported-models.json
scripts/modules/**

📄 CodeRabbit Inference Engine (.cursor/rules/dev_workflow.mdc)

When using the MCP server, restart it if core logic in scripts/modules or MCP tool/direct function definitions change.

Files:

  • scripts/modules/supported-models.json
  • scripts/modules/config-manager.js
scripts/modules/*

📄 CodeRabbit Inference Engine (.cursor/rules/tags.mdc)

scripts/modules/*: Every command that reads or writes tasks.json must be tag-aware
All command files must import getCurrentTag from utils.js
Every CLI command that operates on tasks must include the --tag CLI option
All commands must resolve the tag using the pattern: options.tag || getCurrentTag(projectRoot) || 'master'
All commands must find projectRoot with error handling before proceeding
All commands must pass { projectRoot, tag } as context to core functions
MCP direct functions must accept and use a context object containing projectRoot and tag, and pass them to core functions
Do not hard-code tag resolution (e.g., const tag = options.tag || 'master';); always use getCurrentTag
Do not omit the --tag CLI option in commands that operate on tasks
Do not omit the context parameter when calling core functions from commands
Do not call readJSON or writeJSON without passing projectRoot and tag

Files:

  • scripts/modules/supported-models.json
  • scripts/modules/config-manager.js
scripts/modules/config-manager.js

📄 CodeRabbit Inference Engine (.cursor/rules/ai_providers.mdc)

scripts/modules/config-manager.js: Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.
If adding Ollama or another provider not requiring an API key, add a specific check at the beginning of isApiKeySet and getMcpApiKeyStatus in scripts/modules/config-manager.js to return true immediately for that provider.

scripts/modules/config-manager.js: Import and use specific getters from scripts/modules/config-manager.js to access configuration values needed for application logic; pass the explicitRoot parameter to getters if calling from MCP direct functions.
Use isApiKeySet(providerName, session) from config-manager.js to check if a provider's key is available before attempting an AI call.
Handle potential ConfigurationError if the .taskmasterconfig file is missing or invalid when accessed via getConfig.

Files:

  • scripts/modules/config-manager.js
scripts/modules/*.js

📄 CodeRabbit Inference Engine (.cursor/rules/architecture.mdc)

Each module in scripts/modules/ should be focused on a single responsibility, following the modular architecture (e.g., commands.js for CLI command handling, task-manager.js for task data and core logic, dependency-manager.js for dependency management, ui.js for CLI output formatting, ai-services-unified.js for AI service integration, config-manager.js for configuration management, utils.js for utility functions).

scripts/modules/*.js: Export all core functions, helper functions, and utility methods needed by your new function or command from their respective modules. Explicitly review the module's export block to ensure every required dependency is included.
Pass all required parameters to functions you call within your implementation and verify that direct function parameters match their core function counterparts.
Use consistent file naming conventions: 'task_${id.toString().padStart(3, '0')}.txt', use path.join for composing file paths, and use appropriate file extensions (.txt for tasks, .json for data).
Use structured error objects with code and message properties, include clear error messages, and handle both function-specific and file system errors.
Import all silent mode utilities together from 'scripts/modules/utils.js' and always use isSilentMode() to check global silent mode status. Wrap core function calls within direct functions using enableSilentMode() and disableSilentMode() in a try/finally block if the core function might produce console output.
Core functions should check outputFormat === 'text' before displaying UI elements and use internal logging that respects silent mode.
Design functions to accept dependencies as parameters (dependency injection) and avoid hard-coded dependencies that are difficult to mock.
Keep pure logic separate from I/O operations or UI rendering to allow testing the logic without mocking complex dependencies.
When implementing core logic for new features, do so in 'scripts/modules/' before CLI or MCP interfaces, and d...

Files:

  • scripts/modules/config-manager.js
**/*.js

📄 CodeRabbit Inference Engine (.cursor/rules/tests.mdc)

**/*.js: Declare and initialize global variables at the top of modules to avoid hoisting issues.
Use proper function declarations to avoid hoisting issues and initialize variables before they are referenced.
Do not reference variables before their declaration in module scope.
Use dynamic imports (import()) to avoid initialization order issues in modules.

Files:

  • scripts/modules/config-manager.js
  • docs/scripts/models-json-to-markdown.js
docs/**/*

📄 CodeRabbit Inference Engine (.cursor/rules/new_features.mdc)

Add feature documentation to '/docs' folder, include tagged system usage examples, update command reference documentation, and provide migration notes if relevant.

Files:

  • docs/scripts/models-json-to-markdown.js
🧠 Learnings (4)
📓 Common learnings 
Learnt from: rtmcrc
PR: eyaltoledano/claude-task-master#933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/glossary.mdc:0-0
Timestamp: 2025-07-18T17:10:53.647Z
Learning: Guidelines for integrating new features into the Task Master CLI with tagged system considerations (new_features.mdc).

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/dev_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:12.852Z
Learning: Applies to .taskmaster/config.json : Do not manually edit `.taskmaster/config.json` unless you are certain of the changes; use the `task-master models` command or `models` MCP tool for configuration.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/git_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:31.773Z
Learning: Pull Request descriptions must use the provided template, including Task Overview, Subtasks Completed, Implementation Details, Testing, Breaking Changes, and Related Tasks

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/dev_workflow.mdc:0-0
Timestamp: 2025-07-18T17:10:12.852Z
Learning: For PRD-driven feature development, create a dedicated tag, draft a PRD in `.taskmaster/docs/`, parse it into tasks, and add a high-level reference in the master tag.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/changeset.mdc:0-0
Timestamp: 2025-07-18T17:07:53.100Z
Learning: Every pull request containing new features, bug fixes, breaking changes, performance improvements, significant refactoring, user-facing documentation updates, dependency updates, or impactful build/tooling changes should include a changeset file.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.
scripts/modules/supported-models.json (16)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/ai-services-unified.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services*.js : Ensure AI calls correctly handle and propagate telemetryData as described in 'telemetry.mdc'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/telemetry.mdc:0-0
Timestamp: 2025-07-18T17:14:54.098Z
Learning: Applies to scripts/modules/ai-services-unified.js : The telemetryData object returned by ai-services-unified.js must include the fields: timestamp, userId, commandName, modelUsed, providerName, inputTokens, outputTokens, totalTokens, totalCost, and currency.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/config-manager.js : Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: Applies to .taskmaster/config.json : All other Taskmaster settings (model choice, max tokens, temperature, log level, custom endpoints) must be managed in .taskmaster/config.json via the task-master models command or models MCP tool.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: Applies to .cursor/mcp.json : API keys for selected AI providers must exist in the mcp.json file to be accessible in MCP context.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ui.mdc:0-0
Timestamp: 2025-07-18T17:16:32.610Z
Learning: Applies to scripts/modules/ui.js : Display detailed, granular token breakdowns for AI-powered commands, including context sources with individual token counts and both token and character counts

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: When setting custom model IDs for Ollama or OpenRouter, use the --ollama or --openrouter flags to indicate the provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: OpenRouter custom models are validated against their live API. Ollama custom models are not validated live.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: The costs in supported AI models are expressed in dollars. An input/output value of 3 is $3.00. A value of 0.8 is $0.80.

scripts/modules/config-manager.js (16)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/config-manager.js : Update scripts/modules/config-manager.js to add the new provider to MODEL_MAP, ensure it is included in VALID_PROVIDERS, and update API key handling logic.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/ai-services-unified.js : Do not fetch AI-specific parameters (model ID, max tokens, temp) using config-manager.js getters for the AI call. Pass the role instead.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/config-manager.js : Use isApiKeySet(providerName, session) from config-manager.js to check if a provider's key is available before attempting an AI call.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Provider modules must export three functions: generateText, streamText, and generateObject.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Implement generateText, streamText, and generateObject functions in provider modules with basic validation and try/catch error handling.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/architecture.mdc:0-0
Timestamp: 2025-07-18T17:07:39.336Z
Learning: Applies to src/ai-providers/.js : Provider-specific wrappers for Vercel AI SDK functions must be implemented in src/ai-providers/.js, each file corresponding to a provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Provider modules must import the provider's create function from @ai-sdk/, and import generateText, streamText, generateObject from the core ai package, as well as the log utility from ../../scripts/modules/utils.js.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Create a new provider module file in src/ai-providers/ named .js when adding a new AI provider.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

docs/scripts/models-json-to-markdown.js (11)

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to scripts/modules/supported-models.json : Add a new key for the provider and an array of model objects under it in scripts/modules/supported-models.json, including id, name, allowed_roles, and optionally swe_score, cost_per_1m_tokens, and max_tokens.

Learnt from: rtmcrc
PR: #933
File: scripts/modules/supported-models.json:238-238
Timestamp: 2025-07-21T14:14:48.654Z
Learning: Model version updates in scripts/modules/supported-models.json may be included in feature PRs if they provide practical improvements like reduced error rates, even if not directly related to the main feature being implemented.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/self_improve.mdc:0-0
Timestamp: 2025-07-18T17:13:11.216Z
Learning: Document breaking changes

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_providers.mdc:0-0
Timestamp: 2025-07-18T17:06:04.909Z
Learning: Applies to src/ai-providers/*.js : Implement generateText, streamText, and generateObject functions in provider modules with basic validation and try/catch error handling.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/task-manager/*.js : Use generateTextService and implement robust manual JSON parsing (with Zod validation after parsing) when structured output is needed, as generateObjectService has shown unreliability with some providers/schemas.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-18T17:18:17.728Z
Learning: Applies to scripts/modules/task-manager/**/*.js : Do not call AI-specific getters (like getMainModelId, getMainMaxTokens) from core logic functions in scripts/modules/task-manager/*; instead, pass the role to the unified AI service.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/new_features.mdc:0-0
Timestamp: 2025-07-18T17:12:57.858Z
Learning: Applies to scripts/modules/ai-services.js : Features that use AI models belong in 'scripts/modules/ai-services.js'.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Use generateTextService and implement robust manual JSON parsing (with Zod validation after parsing) when structured output is needed, as generateObjectService has shown unreliability with some providers/schemas.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/ai_services.mdc:0-0
Timestamp: 2025-07-18T17:06:57.833Z
Learning: Applies to scripts/modules/commands.js : Be aware of potential reliability issues with generateObjectService across different providers and complex schemas. Prefer generateTextService + manual parsing as a more robust alternative for structured data needs.

Learnt from: CR
PR: eyaltoledano/claude-task-master#0
File: .cursor/rules/taskmaster.mdc:0-0
Timestamp: 2025-07-18T17:13:54.108Z
Learning: After making changes to tasks.json, run the generate command to create or update individual Markdown files for each task.

🔇 Additional comments (6)
scripts/modules/supported-models.json (2)

11-12: LGTM! Systematic addition of support classification.

The addition of "supported": true to all functional models provides clear explicit support status, which aligns with the PR objectives of improving user guidance.

Also applies to: 22-24, 33-35, 44-46, 57-59, 68-70, 81-83, 94-96, 105-107

538-541: Well-documented unsupported models with clear reasoning.

The unsupported free OpenRouter models are properly marked with "supported": false and include clear explanations about rate limits and tool support issues. This provides valuable context to users about why these models aren't available.

Also applies to: 726-729, 771-774

docs/scripts/models-json-to-markdown.js (3)

50-62: Well-structured function for unsupported models table.

The generateUnsupportedTable function follows the same pattern as existing table generation functions and properly handles the case where no unsupported models exist.

85-125: Excellent filtering logic with backward compatibility.

The filtering logic correctly defaults supported to true when the field is missing (model.supported !== false), ensuring backward compatibility. The separation of supported and unsupported models is clean and maintains all the necessary model information.

151-151: Proper integration of unsupported models section.

The unsupported models table is appropriately appended after the existing supported model tables, providing clear separation in the documentation.

scripts/modules/config-manager.js (1)

775-777: Correct filtering implementation with proper boolean coercion.

The filtering logic using Boolean(modelObj.supported) correctly excludes models marked as unsupported while including models where the supported field is missing (treating them as supported by default). This maintains consistency with the documentation generation script.

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Crunchyman-ralph
Crunchyman-ralph approved these changes Jul 22, 2025
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lgtm

@Crunchyman-ralph Crunchyman-ralph merged commit ced04bd into eyaltoledano:next Jul 22, 2025
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docs(models): update model configuration to add supported field (eyal…
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docs(models): update model configuration to add supported field (eyal…
ddf6864 
…toledano#1030)
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