New Planner tool to help you break down complex ideas, problems, and projects into multiple manageable steps. This is a self-prompt generation tool whose output can then be fed into another tool and model as required

2025-06-17 20:49:53 +04:00
parent 3667ed3a43
commit a509730dca
14 changed files with 1940 additions and 37 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -169,3 +169,5 @@ test-setup/
 # Scratch feature documentation files
 FEATURE_*.md
 # Temporary files
 /tmp/
--- a/README.md
+++ b/README.md
@@ -13,19 +13,20 @@ problem-solving, and collaborative development.
 **Features true AI orchestration with conversations that continue across tasks** - Give Claude a complex
 task and let it orchestrate between models automatically. Claude stays in control, performs the actual work, 
-but gets perspectives from the best AI for each subtask. With tools like [`analyze`](#7-analyze---smart-file-analysis) for 
+but gets perspectives from the best AI for each subtask. With tools like [`planner`](#3-planner---interactive-sequential-planning) for 
-understanding codebases, [`codereview`](#4-codereview---professional-code-review) for audits, [`refactor`](#8-refactor---intelligent-code-refactoring) for 
+breaking down complex projects, [`analyze`](#8-analyze---smart-file-analysis) for understanding codebases, 
-improving code structure, [`debug`](#6-debug---expert-debugging-assistant) for solving complex problems, and [`precommit`](#5-precommit---pre-commit-validation) for 
+[`codereview`](#5-codereview---professional-code-review) for audits, [`refactor`](#9-refactor---intelligent-code-refactoring) for 
 improving code structure, [`debug`](#7-debug---expert-debugging-assistant) for solving complex problems, and [`precommit`](#6-precommit---pre-commit-validation) for 
 validating changes, Claude can switch between different tools _and_ models mid-conversation, 
 with context carrying forward seamlessly.
 **Example Workflow - Claude Code:**
 1. Performs its own reasoning
-2. Uses Gemini Pro to deeply [`analyze`](#7-analyze---smart-file-analysis) the code in question for a second opinion
+2. Uses Gemini Pro to deeply [`analyze`](#8-analyze---smart-file-analysis) the code in question for a second opinion
 3. Switches to O3 to continue [`chatting`](#1-chat---general-development-chat--collaborative-thinking) about its findings 
 4. Uses Flash to evaluate formatting suggestions from O3
 5. Performs the actual work after taking in feedback from all three
-6. Returns to Pro for a [`precommit`](#5-precommit---pre-commit-validation) review
+6. Returns to Pro for a [`precommit`](#6-precommit---pre-commit-validation) review
 All within a single conversation thread! Gemini Pro in step 6 _knows_ what was recommended by O3 in step 3! Taking that context
 and review into consideration to aid with its pre-commit review.
@@ -48,14 +49,15 @@ and review into consideration to aid with its pre-commit review.
 - **Tools Reference**
  - [`chat`](#1-chat---general-development-chat--collaborative-thinking) - Collaborative thinking
  - [`thinkdeep`](#2-thinkdeep---extended-reasoning-partner) - Extended reasoning
-  - [`consensus`](#3-consensus---multi-model-perspective-gathering) - Multi-model consensus analysis
+  - [`planner`](#3-planner---interactive-sequential-planning) - Interactive sequential planning
-  - [`codereview`](#4-codereview---professional-code-review) - Code review
+  - [`consensus`](#4-consensus---multi-model-perspective-gathering) - Multi-model consensus analysis
-  - [`precommit`](#5-precommit---pre-commit-validation) - Pre-commit validation
+  - [`codereview`](#5-codereview---professional-code-review) - Code review
-  - [`debug`](#6-debug---expert-debugging-assistant) - Debugging help
+  - [`precommit`](#6-precommit---pre-commit-validation) - Pre-commit validation
-  - [`analyze`](#7-analyze---smart-file-analysis) - File analysis
+  - [`debug`](#7-debug---expert-debugging-assistant) - Debugging help
-  - [`refactor`](#8-refactor---intelligent-code-refactoring) - Code refactoring with decomposition focus
+  - [`analyze`](#8-analyze---smart-file-analysis) - File analysis
-  - [`tracer`](#9-tracer---static-code-analysis-prompt-generator) - Call-flow mapping and dependency tracing
+  - [`refactor`](#9-refactor---intelligent-code-refactoring) - Code refactoring with decomposition focus
-  - [`testgen`](#10-testgen---comprehensive-test-generation) - Test generation with edge cases
+  - [`tracer`](#10-tracer---static-code-analysis-prompt-generator) - Call-flow mapping and dependency tracing
  - [`testgen`](#11-testgen---comprehensive-test-generation) - Test generation with edge cases
  - [`your custom tool`](#add-your-own-tools) - Create custom tools for specialized workflows
 - **Advanced Usage**
@@ -263,6 +265,7 @@ Just ask Claude naturally:
 **Quick Tool Selection Guide:**
 - **Need a thinking partner?** → `chat` (brainstorm ideas, get second opinions, validate approaches)
 - **Need deeper thinking?** → `thinkdeep` (extends analysis, finds edge cases)
 - **Need to break down complex projects?** → `planner` (step-by-step planning, project structure, breaking down complex ideas)
 - **Need multiple perspectives?** → `consensus` (get diverse expert opinions on proposals and decisions)
 - **Code needs review?** → `codereview` (bugs, security, performance issues)
 - **Pre-commit validation?** → `precommit` (validate git changes before committing)
@@ -288,16 +291,17 @@ Just ask Claude naturally:
 **Tools Overview:**
 1. [`chat`](docs/tools/chat.md) - Collaborative thinking and development conversations
 2. [`thinkdeep`](docs/tools/thinkdeep.md) - Extended reasoning and problem-solving
-3. [`consensus`](docs/tools/consensus.md) - Multi-model consensus analysis with stance steering
+3. [`planner`](docs/tools/planner.md) - Interactive sequential planning for complex projects
-4. [`codereview`](docs/tools/codereview.md) - Professional code review with severity levels
+4. [`consensus`](docs/tools/consensus.md) - Multi-model consensus analysis with stance steering
-5. [`precommit`](docs/tools/precommit.md) - Validate git changes before committing
+5. [`codereview`](docs/tools/codereview.md) - Professional code review with severity levels
-6. [`debug`](docs/tools/debug.md) - Root cause analysis and debugging
+6. [`precommit`](docs/tools/precommit.md) - Validate git changes before committing
-7. [`analyze`](docs/tools/analyze.md) - General-purpose file and code analysis
+7. [`debug`](docs/tools/debug.md) - Root cause analysis and debugging
-8. [`refactor`](docs/tools/refactor.md) - Code refactoring with decomposition focus
+8. [`analyze`](docs/tools/analyze.md) - General-purpose file and code analysis
-9. [`tracer`](docs/tools/tracer.md) - Static code analysis prompt generator for call-flow mapping
+9. [`refactor`](docs/tools/refactor.md) - Code refactoring with decomposition focus
-10. [`testgen`](docs/tools/testgen.md) - Comprehensive test generation with edge case coverage
+10. [`tracer`](docs/tools/tracer.md) - Static code analysis prompt generator for call-flow mapping
-11. [`listmodels`](docs/tools/listmodels.md) - Display all available AI models organized by provider
+11. [`testgen`](docs/tools/testgen.md) - Comprehensive test generation with edge case coverage
-12. [`version`](docs/tools/version.md) - Get server version and configuration
+12. [`listmodels`](docs/tools/listmodels.md) - Display all available AI models organized by provider
 13. [`version`](docs/tools/version.md) - Get server version and configuration
 ### 1. `chat` - General Development Chat & Collaborative Thinking
 Your thinking partner for brainstorming, getting second opinions, and validating approaches. Perfect for technology comparisons, architecture discussions, and collaborative problem-solving.
@@ -318,7 +322,27 @@ and find out what the root cause is
 **[📖 Read More](docs/tools/thinkdeep.md)** - Enhanced analysis capabilities and critical evaluation process
-### 3. `consensus` - Multi-Model Perspective Gathering
+### 3. `planner` - Interactive Step-by-Step Planning
 Break down complex projects or ideas into manageable, structured plans through step-by-step thinking. 
 Perfect for adding new features to an existing system, scaling up system design, migration strategies, 
 and architectural planning with branching and revision capabilities.
 #### Pro Tip
 Claude supports `sub-tasks` where it will spawn and run separate background tasks. You can ask Claude to 
 run Zen's planner with two separate ideas. Then when it's done, use Zen's `consensus` tool to pass the entire
 plan and get expert perspective from two powerful AI models on which one to work on first! Like performing **AB** testing
 in one-go without the wait!
 ```
 Create two separate sub-tasks: in one, using planner tool show me how to add natural language support 
 to my cooking app. In the other sub-task, use planner to plan how to add support for voice notes to my cooking app. 
 Once done, start a consensus by sharing both plans to o3 and flash to give me the final verdict. Which one do 
 I implement first?
 ```
 **[📖 Read More](docs/tools/planner.md)** - Step-by-step planning methodology and multi-session continuation
 ### 4. `consensus` - Multi-Model Perspective Gathering
 Get diverse expert opinions from multiple AI models on technical proposals and decisions. Supports stance steering (for/against/neutral) and structured decision-making.
 ```
@@ -328,7 +352,7 @@ migrate from REST to GraphQL for our API. I need a definitive answer.
 **[📖 Read More](docs/tools/consensus.md)** - Multi-model orchestration and decision analysis
-### 4. `codereview` - Professional Code Review
+### 5. `codereview` - Professional Code Review
 Comprehensive code analysis with prioritized feedback and severity levels. Supports security reviews, performance analysis, and coding standards enforcement.
 ```
@@ -338,7 +362,7 @@ and there may be more potential vulnerabilities. Find and share related code."
 **[📖 Read More](docs/tools/codereview.md)** - Professional review capabilities and parallel analysis
-### 5. `precommit` - Pre-Commit Validation
+### 6. `precommit` - Pre-Commit Validation
 Comprehensive review of staged/unstaged git changes across multiple repositories. Validates changes against requirements and detects potential regressions.
 ```
@@ -348,7 +372,7 @@ Perform a thorough precommit with o3, we want to only highlight critical issues,
 **[📖 Read More](docs/tools/precommit.md)** - Multi-repository validation and change analysis
-### 6. `debug` - Expert Debugging Assistant
+### 7. `debug` - Expert Debugging Assistant
 Root cause analysis for complex problems with systematic hypothesis generation. Supports error context, stack traces, and structured debugging approaches.
 ```
@@ -359,7 +383,7 @@ why this is happening and what the root cause is and its fix
 **[📖 Read More](docs/tools/debug.md)** - Advanced debugging methodologies and troubleshooting
-### 7. `analyze` - Smart File Analysis
+### 8. `analyze` - Smart File Analysis
 General-purpose code understanding and exploration. Supports architecture analysis, pattern detection, and comprehensive codebase exploration.
 ```
@@ -368,7 +392,7 @@ Use gemini to analyze main.py to understand how it works
 **[📖 Read More](docs/tools/analyze.md)** - Code analysis types and exploration capabilities
-### 8. `refactor` - Intelligent Code Refactoring
+### 9. `refactor` - Intelligent Code Refactoring
 Comprehensive refactoring analysis with top-down decomposition strategy. Prioritizes structural improvements and provides precise implementation guidance.
 ```
@@ -377,7 +401,7 @@ Use gemini pro to decompose my_crazy_big_class.m into smaller extensions
 **[📖 Read More](docs/tools/refactor.md)** - Refactoring strategy and progressive analysis approach
-### 9. `tracer` - Static Code Analysis Prompt Generator
+### 10. `tracer` - Static Code Analysis Prompt Generator
 Creates detailed analysis prompts for call-flow mapping and dependency tracing. Generates structured analysis requests for precision execution flow or dependency mapping.
 ```
@@ -386,7 +410,7 @@ Use zen tracer to analyze how UserAuthManager.authenticate is used and why
 **[📖 Read More](docs/tools/tracer.md)** - Prompt generation and analysis modes
-### 10. `testgen` - Comprehensive Test Generation
+### 11. `testgen` - Comprehensive Test Generation
 Generates thorough test suites with edge case coverage based on existing code and test framework. Uses multi-agent workflow for realistic failure mode analysis.
 ```
@@ -395,7 +419,7 @@ Use zen to generate tests for User.login() method
 **[📖 Read More](docs/tools/testgen.md)** - Test generation strategy and framework support
-### 11. `listmodels` - List Available Models
+### 12. `listmodels` - List Available Models
 Display all available AI models organized by provider, showing capabilities, context windows, and configuration status.
 ```
@@ -404,7 +428,7 @@ Use zen to list available models
 **[📖 Read More](docs/tools/listmodels.md)** - Model capabilities and configuration details
-### 12. `version` - Server Information
+### 13. `version` - Server Information
 Get server version, configuration details, and system status for debugging and troubleshooting.
 ```
@@ -422,6 +446,7 @@ Zen supports powerful structured prompts in Claude Code for quick access to tool
 #### Tool Prompts
 - `/zen:chat ask local-llama what 2 + 2 is` - Use chat tool with auto-selected model
 - `/zen:thinkdeep use o3 and tell me why the code isn't working in sorting.swift` - Use thinkdeep tool with auto-selected model
 - `/zen:planner break down the microservices migration project into manageable steps` - Use planner tool with auto-selected model
 - `/zen:consensus use o3:for and flash:against and tell me if adding feature X is a good idea for the project. Pass them a summary of what it does.` - Use consensus tool with default configuration
 - `/zen:codereview review for security module ABC` - Use codereview tool with auto-selected model
 - `/zen:debug table view is not scrolling properly, very jittery, I suspect the code is in my_controller.m` - Use debug tool with auto-selected model
@@ -432,6 +457,7 @@ Zen supports powerful structured prompts in Claude Code for quick access to tool
 #### Advanced Examples
 - `/zen:thinkdeeper check if the algorithm in @sort.py is performant and if there are alternatives we could explore`
 - `/zen:planner create a step-by-step plan for migrating our authentication system to OAuth2, including dependencies and rollback strategies`
 - `/zen:consensus debate whether we should migrate to GraphQL for our API`
 - `/zen:precommit confirm these changes match our requirements in COOL_FEATURE.md`
 - `/zen:testgen write me tests for class ABC`
@@ -440,7 +466,7 @@ Zen supports powerful structured prompts in Claude Code for quick access to tool
 #### Syntax Format
 The prompt format is: `/zen:[tool] [your_message]`
- `[tool]` - Any available tool name (chat, thinkdeep, codereview, debug, analyze, consensus, etc.)
+- `[tool]` - Any available tool name (chat, thinkdeep, planner, consensus, codereview, debug, analyze, etc.)
 - `[your_message]` - Your request, question, or instructions for the tool
 **Note:** All prompts will show as "(MCP) [tool]" in Claude Code to indicate they're provided by the MCP server.
--- a/config.py
+++ b/config.py
@@ -14,7 +14,7 @@ import os
 # These values are used in server responses and for tracking releases
 # IMPORTANT: This is the single source of truth for version and author info
 # Semantic versioning: MAJOR.MINOR.PATCH
-__version__ = "4.9.3"
+__version__ = "5.0.0"
 # Last update date in ISO format
 __updated__ = "2025-06-17"
 # Primary maintainer
--- a/docs/tools/planner.md
+++ b/docs/tools/planner.md
@@ -0,0 +1,83 @@
 # Planner Tool - Interactive Step-by-Step Planning
 **Break down complex projects into manageable, structured plans through step-by-step thinking**
 The `planner` tool helps you break down complex ideas, problems, or projects into multiple manageable steps. Perfect for system design, migration strategies, 
 architectural planning, and feature development with branching and revision capabilities.
 ## How It Works
 The planner tool enables step-by-step thinking with incremental plan building:
 1. **Start with step 1**: Describe the task or problem to plan
 2. **Continue building**: Add subsequent steps, building the plan piece by piece  
 3. **Revise when needed**: Update earlier decisions as new insights emerge
 4. **Branch alternatives**: Explore different approaches when multiple options exist
 5. **Continue across sessions**: Resume planning later with full context
 ## Example Prompts
 #### Pro Tip
 Claude supports `sub-tasks` where it will spawn and run separate background tasks. You can ask Claude to 
 run Zen's planner with two separate ideas. Then when it's done, use Zen's `consensus` tool to pass the entire
 plan and get expert perspective from two powerful AI models on which one to work on first! Like performing **AB** testing
 in one-go without the wait!
 ```
 Create two separate sub-tasks: in one, using planner tool show me how to add natural language support 
 to my cooking app. In the other sub-task, use planner to plan how to add support for voice notes to my cooking app. 
 Once done, start a consensus by sharing both plans to o3 and flash to give me the final verdict. Which one do 
 I implement first?
 ```
 ```
 Use zen's planner and show me how to add real-time notifications to our mobile app
 ```
 ```
 Using the planner tool, show me how to add CoreData sync to my app, include any sub-steps
 ```
 ## Key Features
 - **Step-by-step breakdown**: Build plans incrementally with full context awareness
 - **Branching support**: Explore alternative approaches when needed  
 - **Revision capabilities**: Update earlier decisions as new insights emerge
 - **Multi-session continuation**: Resume planning across multiple sessions with context
 - **Dynamic adjustment**: Modify step count and approach as planning progresses
 - **Visual presentation**: ASCII charts, diagrams, and structured formatting
 - **Professional output**: Clean, structured plans without emojis or time estimates
 ## More Examples
 ```
 Using planner, plan the architecture for a new real-time chat system with 100k concurrent users
 ```
 ```
 Create a plan using zen for migrating our React app from JavaScript to TypeScript
 ```
 ```
 Develop a plan using zen for implementing CI/CD pipelines across our development teams
 ```
 ## Best Practices
 - **Start broad, then narrow**: Begin with high-level strategy, then add implementation details
 - **Include constraints**: Consider technical, organizational, and resource limitations
 - **Plan for validation**: Include testing and verification steps
 - **Think about dependencies**: Identify what needs to happen before each step
 - **Consider alternatives**: Note when multiple approaches are viable
 - **Enable continuation**: Use continuation_id for multi-session planning
 ## Continue With a New Plan
 Like all other tools in Zen, you can `continue` with a new plan using the output from a previous plan by simply saying
 ```
 Continue with zen's consensus tool and find out what o3:for and flash:against think of the plan 
 ```
 You can mix and match and take one output and feed it into another, continuing from where you left off using a different 
 tool / model combination.
--- a/server.py
+++ b/server.py
@@ -54,6 +54,7 @@ from tools import (
    ConsensusTool,
    DebugIssueTool,
    ListModelsTool,
    PlannerTool,
    Precommit,
    RefactorTool,
    TestGenerationTool,
@@ -161,6 +162,7 @@ TOOLS = {
    "chat": ChatTool(),  # Interactive development chat and brainstorming
    "consensus": ConsensusTool(),  # Multi-model consensus for diverse perspectives on technical proposals
    "listmodels": ListModelsTool(),  # List all available AI models by provider
    "planner": PlannerTool(),  # A task or problem to plan out as several smaller steps
    "precommit": Precommit(),  # Pre-commit validation of git changes
    "testgen": TestGenerationTool(),  # Comprehensive test generation with edge case coverage
    "refactor": RefactorTool(),  # Intelligent code refactoring suggestions with precise line references
@@ -214,6 +216,11 @@ PROMPT_TEMPLATES = {
        "description": "Trace code execution paths",
        "template": "Generate tracer analysis with {model}",
    },
    "planner": {
        "name": "planner",
        "description": "Break down complex ideas, problems, or projects into multiple manageable steps",
        "template": "Create a detailed plan with {model}",
    },
    "listmodels": {
        "name": "listmodels",
        "description": "List available AI models",
--- a/simulator_tests/init.py
+++ b/simulator_tests/init.py
@@ -24,6 +24,8 @@ from .test_ollama_custom_url import OllamaCustomUrlTest
 from .test_openrouter_fallback import OpenRouterFallbackTest
 from .test_openrouter_models import OpenRouterModelsTest
 from .test_per_tool_deduplication import PerToolDeduplicationTest
 from .test_planner_continuation_history import PlannerContinuationHistoryTest
 from .test_planner_validation import PlannerValidationTest
 from .test_redis_validation import RedisValidationTest
 from .test_refactor_validation import RefactorValidationTest
 from .test_testgen_validation import TestGenValidationTest
@@ -46,6 +48,8 @@ TEST_REGISTRY = {
    "ollama_custom_url": OllamaCustomUrlTest,
    "openrouter_fallback": OpenRouterFallbackTest,
    "openrouter_models": OpenRouterModelsTest,
    "planner_validation": PlannerValidationTest,
    "planner_continuation_history": PlannerContinuationHistoryTest,
    "token_allocation_validation": TokenAllocationValidationTest,
    "testgen_validation": TestGenValidationTest,
    "refactor_validation": RefactorValidationTest,
@@ -75,6 +79,8 @@ __all__ = [
    "OllamaCustomUrlTest",
    "OpenRouterFallbackTest",
    "OpenRouterModelsTest",
    "PlannerValidationTest",
    "PlannerContinuationHistoryTest",
    "TokenAllocationValidationTest",
    "TestGenValidationTest",
    "RefactorValidationTest",
--- a/simulator_tests/test_planner_continuation_history.py
+++ b/simulator_tests/test_planner_continuation_history.py
@@ -0,0 +1,361 @@
 #!/usr/bin/env python3
 """
 Planner Continuation History Test
 Tests the planner tool's continuation history building across multiple completed planning sessions:
 - Multiple completed planning sessions in sequence
 - History context loading for new planning sessions
 - Proper context building with multiple completed plans
 - Context accumulation and retrieval
 """
 import json
 from typing import Optional
 from .base_test import BaseSimulatorTest
 class PlannerContinuationHistoryTest(BaseSimulatorTest):
    """Test planner tool's continuation history building across multiple completed sessions"""
    @property
    def test_name(self) -> str:
        return "planner_continuation_history"
    @property
    def test_description(self) -> str:
        return "Planner tool continuation history building across multiple completed planning sessions"
    def run_test(self) -> bool:
        """Test planner continuation history building across multiple completed sessions"""
        try:
            self.logger.info("Test: Planner continuation history validation")
            # Test 1: Complete first planning session (microservices migration)
            if not self._test_first_planning_session():
                return False
            # Test 2: Complete second planning session with context from first
            if not self._test_second_planning_session():
                return False
            # Test 3: Complete third planning session with context from both previous
            if not self._test_third_planning_session():
                return False
            # Test 4: Validate context accumulation across all sessions
            if not self._test_context_accumulation():
                return False
            self.logger.info("  ✅ All planner continuation history tests passed")
            return True
        except Exception as e:
            self.logger.error(f"Planner continuation history test failed: {e}")
            return False
    def _test_first_planning_session(self) -> bool:
        """Complete first planning session - microservices migration"""
        try:
            self.logger.info("  2.1: First planning session - Microservices Migration")
            # Step 1: Start migration planning
            self.logger.info("    2.1.1: Start migration planning")
            response1, continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "I need to plan a microservices migration for our monolithic e-commerce platform. Let me analyze the current monolith structure.",
                    "step_number": 1,
                    "total_steps": 3,
                    "next_step_required": True,
                },
            )
            if not response1 or not continuation_id:
                self.logger.error("Failed to start first planning session")
                return False
            # Step 2: Domain identification
            self.logger.info("    2.1.2: Domain identification")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "I've identified key domains: User Management, Product Catalog, Order Processing, Payment, and Inventory. Each will become a separate microservice.",
                    "step_number": 2,
                    "total_steps": 3,
                    "next_step_required": True,
                    "continuation_id": continuation_id,
                },
            )
            if not response2:
                self.logger.error("Failed step 2 of first planning session")
                return False
            # Step 3: Complete migration plan
            self.logger.info("    2.1.3: Complete migration plan")
            response3, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Migration strategy: Phase 1 - Extract User Management service, Phase 2 - Product Catalog and Inventory services, Phase 3 - Order Processing and Payment services. Use API Gateway for service coordination.",
                    "step_number": 3,
                    "total_steps": 3,
                    "next_step_required": False,  # Complete the session
                    "continuation_id": continuation_id,
                },
            )
            if not response3:
                self.logger.error("Failed to complete first planning session")
                return False
            # Validate completion
            response3_data = self._parse_planner_response(response3)
            if not response3_data.get("planning_complete"):
                self.logger.error("First planning session not marked as complete")
                return False
            if not response3_data.get("plan_summary"):
                self.logger.error("First planning session missing plan summary")
                return False
            self.logger.info("    ✅ First planning session completed successfully")
            # Store for next test
            self.first_continuation_id = continuation_id
            return True
        except Exception as e:
            self.logger.error(f"First planning session test failed: {e}")
            return False
    def _test_second_planning_session(self) -> bool:
        """Complete second planning session with context from first"""
        try:
            self.logger.info("  2.2: Second planning session - Database Strategy")
            # Step 1: Start database planning with previous context
            self.logger.info("    2.2.1: Start database strategy with microservices context")
            response1, new_continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "Now I need to plan the database strategy for the microservices architecture. I'll design how each service will manage its data.",
                    "step_number": 1,
                    "total_steps": 2,
                    "next_step_required": True,
                    "continuation_id": self.first_continuation_id,  # Use first session's continuation_id
                },
            )
            if not response1 or not new_continuation_id:
                self.logger.error("Failed to start second planning session")
                return False
            # Validate context loading
            response1_data = self._parse_planner_response(response1)
            if "previous_plan_context" not in response1_data:
                self.logger.error("Second session should load context from first completed session")
                return False
            # Check context contains migration content
            context = response1_data["previous_plan_context"].lower()
            if "migration" not in context and "microservices" not in context:
                self.logger.error("Context should contain migration/microservices content from first session")
                return False
            self.logger.info("    ✅ Second session loaded context from first completed session")
            # Step 2: Complete database plan
            self.logger.info("    2.2.2: Complete database strategy")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Database strategy: Each microservice gets its own database (database-per-service pattern). Use event sourcing for cross-service communication and eventual consistency. Implement CQRS for read/write separation.",
                    "step_number": 2,
                    "total_steps": 2,
                    "next_step_required": False,  # Complete the session
                    "continuation_id": new_continuation_id,
                },
            )
            if not response2:
                self.logger.error("Failed to complete second planning session")
                return False
            # Validate completion
            response2_data = self._parse_planner_response(response2)
            if not response2_data.get("planning_complete"):
                self.logger.error("Second planning session not marked as complete")
                return False
            self.logger.info("    ✅ Second planning session completed successfully")
            # Store for next test
            self.second_continuation_id = new_continuation_id
            return True
        except Exception as e:
            self.logger.error(f"Second planning session test failed: {e}")
            return False
    def _test_third_planning_session(self) -> bool:
        """Complete third planning session with context from both previous"""
        try:
            self.logger.info("  2.3: Third planning session - Deployment Strategy")
            # Step 1: Start deployment planning with accumulated context
            self.logger.info("    2.3.1: Start deployment strategy with accumulated context")
            response1, new_continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "Now I need to plan the deployment strategy that supports both the microservices architecture and the database strategy. I'll design the infrastructure and deployment pipeline.",
                    "step_number": 1,
                    "total_steps": 2,
                    "next_step_required": True,
                    "continuation_id": self.second_continuation_id,  # Use second session's continuation_id
                },
            )
            if not response1 or not new_continuation_id:
                self.logger.error("Failed to start third planning session")
                return False
            # Validate context loading
            response1_data = self._parse_planner_response(response1)
            if "previous_plan_context" not in response1_data:
                self.logger.error("Third session should load context from previous completed sessions")
                return False
            # Check context contains content from most recent completed session
            context = response1_data["previous_plan_context"].lower()
            expected_terms = ["database", "event sourcing", "cqrs"]
            found_terms = [term for term in expected_terms if term in context]
            if len(found_terms) == 0:
                self.logger.error(
                    f"Context should contain database strategy content from second session. Context: {context[:200]}..."
                )
                return False
            self.logger.info("    ✅ Third session loaded context from most recent completed session")
            # Step 2: Complete deployment plan
            self.logger.info("    2.3.2: Complete deployment strategy")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Deployment strategy: Use Kubernetes for container orchestration with Helm charts. Implement CI/CD pipeline with GitOps. Use service mesh (Istio) for traffic management, monitoring, and security. Deploy databases in separate namespaces with backup automation.",
                    "step_number": 2,
                    "total_steps": 2,
                    "next_step_required": False,  # Complete the session
                    "continuation_id": new_continuation_id,
                },
            )
            if not response2:
                self.logger.error("Failed to complete third planning session")
                return False
            # Validate completion
            response2_data = self._parse_planner_response(response2)
            if not response2_data.get("planning_complete"):
                self.logger.error("Third planning session not marked as complete")
                return False
            self.logger.info("    ✅ Third planning session completed successfully")
            # Store for final test
            self.third_continuation_id = new_continuation_id
            return True
        except Exception as e:
            self.logger.error(f"Third planning session test failed: {e}")
            return False
    def _test_context_accumulation(self) -> bool:
        """Test that context properly accumulates across multiple completed sessions"""
        try:
            self.logger.info("  2.4: Testing context accumulation across all sessions")
            # Start a new planning session that should load context from the most recent completed session
            self.logger.info("    2.4.1: Start monitoring planning with full context history")
            response1, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Finally, I need to plan the monitoring and observability strategy that works with the microservices, database, and deployment architecture.",
                    "step_number": 1,
                    "total_steps": 1,
                    "next_step_required": False,
                    "continuation_id": self.third_continuation_id,  # Use third session's continuation_id
                },
            )
            if not response1:
                self.logger.error("Failed to start monitoring planning session")
                return False
            # Validate context loading
            response1_data = self._parse_planner_response(response1)
            if "previous_plan_context" not in response1_data:
                self.logger.error("Final session should load context from previous completed sessions")
                return False
            # Validate context contains most recent completed session content
            context = response1_data["previous_plan_context"].lower()
            # Should contain deployment strategy content (most recent)
            deployment_terms = ["kubernetes", "deployment", "istio", "gitops"]
            found_deployment_terms = [term for term in deployment_terms if term in context]
            if len(found_deployment_terms) == 0:
                self.logger.error(f"Context should contain deployment strategy content. Context: {context[:300]}...")
                return False
            self.logger.info("    ✅ Context accumulation working correctly")
            # Validate this creates a complete planning session
            if not response1_data.get("planning_complete"):
                self.logger.error("Final planning session should be marked as complete")
                return False
            self.logger.info("    ✅ Context accumulation test completed successfully")
            return True
        except Exception as e:
            self.logger.error(f"Context accumulation test failed: {e}")
            return False
    def call_mcp_tool(self, tool_name: str, params: dict) -> tuple[Optional[str], Optional[str]]:
        """Call an MCP tool via Claude CLI (docker exec) - override for planner-specific response handling"""
        # Use parent implementation to get the raw response
        response_text, _ = super().call_mcp_tool(tool_name, params)
        if not response_text:
            return None, None
        # Extract continuation_id from planner response specifically
        continuation_id = self._extract_planner_continuation_id(response_text)
        return response_text, continuation_id
    def _extract_planner_continuation_id(self, response_text: str) -> Optional[str]:
        """Extract continuation_id from planner response"""
        try:
            # Parse the response - it's now direct JSON, not wrapped
            response_data = json.loads(response_text)
            return response_data.get("continuation_id")
        except json.JSONDecodeError as e:
            self.logger.debug(f"Failed to parse response for planner continuation_id: {e}")
            return None
    def _parse_planner_response(self, response_text: str) -> dict:
        """Parse planner tool JSON response"""
        try:
            # Parse the response - it's now direct JSON, not wrapped
            return json.loads(response_text)
        except json.JSONDecodeError as e:
            self.logger.error(f"Failed to parse planner response as JSON: {e}")
            self.logger.error(f"Response text: {response_text[:500]}...")
            return {}
--- a/simulator_tests/test_planner_validation.py
+++ b/simulator_tests/test_planner_validation.py
@@ -0,0 +1,436 @@
 #!/usr/bin/env python3
 """
 Planner Tool Validation Test
 Tests the planner tool's sequential planning capabilities including:
 - Step-by-step planning with proper JSON responses
 - Continuation logic across planning sessions
 - Branching and revision capabilities
 - Previous plan context loading
 - Plan completion and summary storage
 """
 import json
 from typing import Optional
 from .base_test import BaseSimulatorTest
 class PlannerValidationTest(BaseSimulatorTest):
    """Test planner tool's sequential planning and continuation features"""
    @property
    def test_name(self) -> str:
        return "planner_validation"
    @property
    def test_description(self) -> str:
        return "Planner tool sequential planning and continuation validation"
    def run_test(self) -> bool:
        """Test planner tool sequential planning capabilities"""
        try:
            self.logger.info("Test: Planner tool validation")
            # Test 1: Single planning session with multiple steps
            if not self._test_single_planning_session():
                return False
            # Test 2: Plan completion and continuation to new planning session
            if not self._test_plan_continuation():
                return False
            # Test 3: Branching and revision capabilities
            if not self._test_branching_and_revision():
                return False
            self.logger.info("  ✅ All planner validation tests passed")
            return True
        except Exception as e:
            self.logger.error(f"Planner validation test failed: {e}")
            return False
    def _test_single_planning_session(self) -> bool:
        """Test a complete planning session with multiple steps"""
        try:
            self.logger.info("  1.1: Testing single planning session")
            # Step 1: Start planning
            self.logger.info("    1.1.1: Step 1 - Initial planning step")
            response1, continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "I need to plan a microservices migration for our monolithic e-commerce platform. Let me start by understanding the current architecture and identifying the key business domains.",
                    "step_number": 1,
                    "total_steps": 5,
                    "next_step_required": True,
                },
            )
            if not response1 or not continuation_id:
                self.logger.error("Failed to get initial planning response")
                return False
            # Parse and validate JSON response
            response1_data = self._parse_planner_response(response1)
            if not response1_data:
                return False
            # Validate step 1 response structure
            if not self._validate_step_response(response1_data, 1, 5, True, "planning_success"):
                return False
            self.logger.info(f"    ✅ Step 1 successful, continuation_id: {continuation_id}")
            # Step 2: Continue planning
            self.logger.info("    1.1.2: Step 2 - Domain identification")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Based on my analysis, I can identify the main business domains: User Management, Product Catalog, Order Processing, Payment, and Inventory. Let me plan how to extract these into separate services.",
                    "step_number": 2,
                    "total_steps": 5,
                    "next_step_required": True,
                    "continuation_id": continuation_id,
                },
            )
            if not response2:
                self.logger.error("Failed to continue planning to step 2")
                return False
            response2_data = self._parse_planner_response(response2)
            if not self._validate_step_response(response2_data, 2, 5, True, "planning_success"):
                return False
            self.logger.info("    ✅ Step 2 successful")
            # Step 3: Final step
            self.logger.info("    1.1.3: Step 3 - Final planning step")
            response3, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Now I'll create a phased migration strategy: Phase 1 - Extract User Management, Phase 2 - Product Catalog and Inventory, Phase 3 - Order Processing and Payment services. This completes the initial migration plan.",
                    "step_number": 3,
                    "total_steps": 3,  # Adjusted total
                    "next_step_required": False,  # Final step
                    "continuation_id": continuation_id,
                },
            )
            if not response3:
                self.logger.error("Failed to complete planning session")
                return False
            response3_data = self._parse_planner_response(response3)
            if not self._validate_final_step_response(response3_data, 3, 3):
                return False
            self.logger.info("    ✅ Planning session completed successfully")
            # Store continuation_id for next test
            self.migration_continuation_id = continuation_id
            return True
        except Exception as e:
            self.logger.error(f"Single planning session test failed: {e}")
            return False
    def _test_plan_continuation(self) -> bool:
        """Test continuing from a previous completed plan"""
        try:
            self.logger.info("  1.2: Testing plan continuation with previous context")
            # Start a new planning session using the continuation_id from previous completed plan
            self.logger.info("    1.2.1: New planning session with previous plan context")
            response1, new_continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "Now that I have the microservices migration plan, let me plan the database strategy. I need to decide how to handle data consistency across the new services.",
                    "step_number": 1,  # New planning session starts at step 1
                    "total_steps": 4,
                    "next_step_required": True,
                    "continuation_id": self.migration_continuation_id,  # Use previous plan's continuation_id
                },
            )
            if not response1 or not new_continuation_id:
                self.logger.error("Failed to start new planning session with context")
                return False
            response1_data = self._parse_planner_response(response1)
            if not response1_data:
                return False
            # Should have previous plan context
            if "previous_plan_context" not in response1_data:
                self.logger.error("Expected previous_plan_context in new planning session")
                return False
            # Check for key terms from the previous plan
            context = response1_data["previous_plan_context"].lower()
            if "migration" not in context and "plan" not in context:
                self.logger.error("Previous plan context doesn't contain expected content")
                return False
            self.logger.info("    ✅ New planning session loaded previous plan context")
            # Continue the new planning session (step 2+ should NOT load context)
            self.logger.info("    1.2.2: Continue new planning session (no context loading)")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "I'll implement a database-per-service pattern with eventual consistency using event sourcing for cross-service communication.",
                    "step_number": 2,
                    "total_steps": 4,
                    "next_step_required": True,
                    "continuation_id": new_continuation_id,  # Same continuation, step 2
                },
            )
            if not response2:
                self.logger.error("Failed to continue new planning session")
                return False
            response2_data = self._parse_planner_response(response2)
            if not response2_data:
                return False
            # Step 2+ should NOT have previous_plan_context (only step 1 with continuation_id gets context)
            if "previous_plan_context" in response2_data:
                self.logger.error("Step 2 should NOT have previous_plan_context")
                return False
            self.logger.info("    ✅ Step 2 correctly has no previous context (as expected)")
            return True
        except Exception as e:
            self.logger.error(f"Plan continuation test failed: {e}")
            return False
    def _test_branching_and_revision(self) -> bool:
        """Test branching and revision capabilities"""
        try:
            self.logger.info("  1.3: Testing branching and revision capabilities")
            # Start a new planning session for testing branching
            self.logger.info("    1.3.1: Start planning session for branching test")
            response1, continuation_id = self.call_mcp_tool(
                "planner",
                {
                    "step": "Let me plan the deployment strategy for the microservices. I'll consider different deployment options.",
                    "step_number": 1,
                    "total_steps": 4,
                    "next_step_required": True,
                },
            )
            if not response1 or not continuation_id:
                self.logger.error("Failed to start branching test planning session")
                return False
            # Test branching
            self.logger.info("    1.3.2: Create a branch from step 1")
            response2, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Branch A: I'll explore Kubernetes deployment with service mesh (Istio) for advanced traffic management and observability.",
                    "step_number": 2,
                    "total_steps": 4,
                    "next_step_required": True,
                    "is_branch_point": True,
                    "branch_from_step": 1,
                    "branch_id": "kubernetes-istio",
                    "continuation_id": continuation_id,
                },
            )
            if not response2:
                self.logger.error("Failed to create branch")
                return False
            response2_data = self._parse_planner_response(response2)
            if not response2_data:
                return False
            # Validate branching metadata
            metadata = response2_data.get("metadata", {})
            if not metadata.get("is_branch_point"):
                self.logger.error("Branch point not properly recorded in metadata")
                return False
            if metadata.get("branch_id") != "kubernetes-istio":
                self.logger.error("Branch ID not properly recorded")
                return False
            if "kubernetes-istio" not in metadata.get("branches", []):
                self.logger.error("Branch not recorded in branches list")
                return False
            self.logger.info("    ✅ Branching working correctly")
            # Test revision
            self.logger.info("    1.3.3: Revise step 2")
            response3, _ = self.call_mcp_tool(
                "planner",
                {
                    "step": "Revision: Actually, let me revise the Kubernetes approach. I'll use a simpler Docker Swarm deployment initially, then migrate to Kubernetes later.",
                    "step_number": 3,
                    "total_steps": 4,
                    "next_step_required": True,
                    "is_step_revision": True,
                    "revises_step_number": 2,
                    "continuation_id": continuation_id,
                },
            )
            if not response3:
                self.logger.error("Failed to create revision")
                return False
            response3_data = self._parse_planner_response(response3)
            if not response3_data:
                return False
            # Validate revision metadata
            metadata = response3_data.get("metadata", {})
            if not metadata.get("is_step_revision"):
                self.logger.error("Step revision not properly recorded in metadata")
                return False
            if metadata.get("revises_step_number") != 2:
                self.logger.error("Revised step number not properly recorded")
                return False
            self.logger.info("    ✅ Revision working correctly")
            return True
        except Exception as e:
            self.logger.error(f"Branching and revision test failed: {e}")
            return False
    def call_mcp_tool(self, tool_name: str, params: dict) -> tuple[Optional[str], Optional[str]]:
        """Call an MCP tool via Claude CLI (docker exec) - override for planner-specific response handling"""
        # Use parent implementation to get the raw response
        response_text, _ = super().call_mcp_tool(tool_name, params)
        if not response_text:
            return None, None
        # Extract continuation_id from planner response specifically
        continuation_id = self._extract_planner_continuation_id(response_text)
        return response_text, continuation_id
    def _extract_planner_continuation_id(self, response_text: str) -> Optional[str]:
        """Extract continuation_id from planner response"""
        try:
            # Parse the response - it's now direct JSON, not wrapped
            response_data = json.loads(response_text)
            return response_data.get("continuation_id")
        except json.JSONDecodeError as e:
            self.logger.debug(f"Failed to parse response for planner continuation_id: {e}")
            return None
    def _parse_planner_response(self, response_text: str) -> dict:
        """Parse planner tool JSON response"""
        try:
            # Parse the response - it's now direct JSON, not wrapped
            return json.loads(response_text)
        except json.JSONDecodeError as e:
            self.logger.error(f"Failed to parse planner response as JSON: {e}")
            self.logger.error(f"Response text: {response_text[:500]}...")
            return {}
    def _validate_step_response(
        self,
        response_data: dict,
        expected_step: int,
        expected_total: int,
        expected_next_required: bool,
        expected_status: str,
    ) -> bool:
        """Validate a planning step response structure"""
        try:
            # Check status
            if response_data.get("status") != expected_status:
                self.logger.error(f"Expected status '{expected_status}', got '{response_data.get('status')}'")
                return False
            # Check step number
            if response_data.get("step_number") != expected_step:
                self.logger.error(f"Expected step_number {expected_step}, got {response_data.get('step_number')}")
                return False
            # Check total steps
            if response_data.get("total_steps") != expected_total:
                self.logger.error(f"Expected total_steps {expected_total}, got {response_data.get('total_steps')}")
                return False
            # Check next_step_required
            if response_data.get("next_step_required") != expected_next_required:
                self.logger.error(
                    f"Expected next_step_required {expected_next_required}, got {response_data.get('next_step_required')}"
                )
                return False
            # Check that step_content exists
            if not response_data.get("step_content"):
                self.logger.error("Missing step_content in response")
                return False
            # Check metadata exists
            if "metadata" not in response_data:
                self.logger.error("Missing metadata in response")
                return False
            # Check next_steps guidance
            if not response_data.get("next_steps"):
                self.logger.error("Missing next_steps guidance in response")
                return False
            return True
        except Exception as e:
            self.logger.error(f"Error validating step response: {e}")
            return False
    def _validate_final_step_response(self, response_data: dict, expected_step: int, expected_total: int) -> bool:
        """Validate a final planning step response"""
        try:
            # Basic step validation
            if not self._validate_step_response(
                response_data, expected_step, expected_total, False, "planning_success"
            ):
                return False
            # Check planning_complete flag
            if not response_data.get("planning_complete"):
                self.logger.error("Expected planning_complete=true for final step")
                return False
            # Check plan_summary exists
            if not response_data.get("plan_summary"):
                self.logger.error("Missing plan_summary in final step")
                return False
            # Check plan_summary contains expected content
            plan_summary = response_data.get("plan_summary", "")
            if "COMPLETE PLAN:" not in plan_summary:
                self.logger.error("plan_summary doesn't contain 'COMPLETE PLAN:' marker")
                return False
            # Check next_steps mentions completion
            next_steps = response_data.get("next_steps", "")
            if "complete" not in next_steps.lower():
                self.logger.error("next_steps doesn't indicate planning completion")
                return False
            return True
        except Exception as e:
            self.logger.error(f"Error validating final step response: {e}")
            return False
--- a/systemprompts/init.py
+++ b/systemprompts/init.py
@@ -7,6 +7,7 @@ from .chat_prompt import CHAT_PROMPT
 from .codereview_prompt import CODEREVIEW_PROMPT
 from .consensus_prompt import CONSENSUS_PROMPT
 from .debug_prompt import DEBUG_ISSUE_PROMPT
 from .planner_prompt import PLANNER_PROMPT
 from .precommit_prompt import PRECOMMIT_PROMPT
 from .refactor_prompt import REFACTOR_PROMPT
 from .testgen_prompt import TESTGEN_PROMPT
@@ -19,6 +20,7 @@ __all__ = [
    "ANALYZE_PROMPT",
    "CHAT_PROMPT",
    "CONSENSUS_PROMPT",
    "PLANNER_PROMPT",
    "PRECOMMIT_PROMPT",
    "REFACTOR_PROMPT",
    "TESTGEN_PROMPT",
--- a/systemprompts/planner_prompt.py
+++ b/systemprompts/planner_prompt.py
@@ -0,0 +1,124 @@
 """
 Planner tool system prompts
 """
 PLANNER_PROMPT = """
 You are an expert, seasoned planning consultant and systems architect with deep expertise in plan structuring, risk assessment,
 and software development strategy. You have extensive experience organizing complex projects, guiding technical implementations,
 and maintaining a sharp understanding of both your own and competing products across the market. From microservices
 to global-scale deployments, your technical insight and architectural knowledge are unmatched. There is nothing related
 to software and software development that you're not aware of. All the latest frameworks, languages, trends, techniques
 is something you have mastery in. Your role is to critically evaluate and refine plans to make them more robust,
 efficient, and implementation-ready.
 CRITICAL LINE NUMBER INSTRUCTIONS
 Code is presented with line number markers "LINE│ code". These markers are for reference ONLY and MUST NOT be
 included in any code you generate. Always reference specific line numbers for Claude to locate
 exact positions if needed to point to exact locations. Include a very short code excerpt alongside for clarity.
 Include context_start_text and context_end_text as backup references. Never include "LINE│" markers in generated code
 snippets.
 IF MORE INFORMATION IS NEEDED
 If Claude is discussing specific code, functions, or project components that was not given as part of the context,
 and you need additional context (e.g., related files, configuration, dependencies, test files) to provide meaningful
 collaboration, you MUST respond ONLY with this JSON format (and nothing else). Do NOT ask for the same file you've been
 provided unless for some reason its content is missing or incomplete:
 {"status": "clarification_required", "question": "<your brief question>",
 "files_needed": ["[file name here]", "[or some folder/]"]}
 PLANNING METHODOLOGY:
 1. DECOMPOSITION: Break down the main objective into logical, sequential steps
 2. DEPENDENCIES: Identify which steps depend on others and order them appropriately
 3. BRANCHING: When multiple valid approaches exist, create branches to explore alternatives
 4. ITERATION: Be willing to step back and refine earlier steps if new insights emerge
 5. COMPLETENESS: Ensure all aspects of the task are covered without gaps
 STEP STRUCTURE:
 Each step in your plan MUST include:
 - Step number and branch identifier (if branching)
 - Clear, actionable description
 - Prerequisites or dependencies
 - Expected outcomes
 - Potential challenges or considerations
 - Alternative approaches (when applicable)
 BRANCHING GUIDELINES:
 - Use branches to explore different implementation strategies
 - Label branches clearly (e.g., "Branch A: Microservices approach", "Branch B: Monolithic approach")
 - Explain when and why to choose each branch
 - Show how branches might reconverge
 PLANNING PRINCIPLES:
 - Start with high-level strategy, then add implementation details
 - Consider technical, organizational, and resource constraints
 - Include validation and testing steps
 - Plan for error handling and rollback scenarios
 - Think about maintenance and future extensibility
 STRUCTURED JSON OUTPUT FORMAT:
 You MUST respond with a properly formatted JSON object following this exact schema.
 Do NOT include any text before or after the JSON. The response must be valid JSON only.
 IF MORE INFORMATION IS NEEDED:
 If you lack critical information to proceed with planning, you MUST only respond with:
 {
  "status": "clarification_required",
  "question": "<your brief question>",
  "files_needed": ["<file name here>", "<or some folder/>"]
 }
 FOR NORMAL PLANNING RESPONSES:
 {
  "status": "planning_success",
  "step_number": <current step number>,
  "total_steps": <estimated total steps>,
  "next_step_required": <true/false>,
  "step_content": "<detailed description of current planning step>",
  "metadata": {
    "branches": ["<list of branch IDs if any>"],
    "step_history_length": <number of steps completed so far>,
    "is_step_revision": <true/false>,
    "revises_step_number": <number if this revises a previous step>,
    "is_branch_point": <true/false>,
    "branch_from_step": <step number if this branches from another step>,
    "branch_id": "<unique branch identifier if creating/following a branch>",
    "more_steps_needed": <true/false>
  },
  "continuation_id": "<thread_id for conversation continuity>",
  "planning_complete": <true/false - set to true only on final step>,
  "plan_summary": "<complete plan summary - only include when planning_complete is true>",
  "next_steps": "<guidance for Claude on next actions>",
  "previous_plan_context": "<context from previous completed plans - only on step 1 with continuation_id>"
 }
 PLANNING CONTENT GUIDELINES:
 - step_content: Provide detailed planning analysis for the current step
 - Include specific actions, prerequisites, outcomes, and considerations
 - When branching, clearly explain the alternative approach and when to use it
 - When completing planning, provide comprehensive plan_summary
 - next_steps: Always guide Claude on what to do next (continue planning, implement, or branch)
 PLAN PRESENTATION GUIDELINES:
 When planning is complete (planning_complete: true), Claude should present the final plan with:
 - Clear headings and numbered phases/sections
 - Visual elements like ASCII charts for workflows, dependencies, or sequences
 - Bullet points and sub-steps for detailed breakdowns
 - Implementation guidance and next steps
 - Visual organization (boxes, arrows, diagrams) for complex relationships
 - Tables for comparisons or resource allocation
 - Priority indicators and sequence information where relevant
 IMPORTANT: Do NOT use emojis in plan presentations. Use clear text formatting, ASCII characters, and symbols only.
 IMPORTANT: Do NOT mention time estimates, costs, or pricing unless explicitly requested by the user.
 Example visual elements to use:
 - Phase diagrams: Phase 1 → Phase 2 → Phase 3
 - Dependency charts: A ← B ← C (C depends on B, B depends on A)
 - Sequence boxes: [Phase 1: Setup] → [Phase 2: Development] → [Phase 3: Testing]
 - Decision trees for branching strategies
 - Resource allocation tables
 Be thorough, practical, and consider edge cases. Your planning should be detailed enough that someone could follow it step-by-step to achieve the goal.
 """
--- a/tests/test_planner.py
+++ b/tests/test_planner.py
@@ -0,0 +1,413 @@
 """
 Tests for the planner tool.
 """
 from unittest.mock import patch
 import pytest
 from tools.models import ToolModelCategory
 from tools.planner import PlannerRequest, PlannerTool
 class TestPlannerTool:
    """Test suite for PlannerTool."""
    def test_tool_metadata(self):
        """Test basic tool metadata and configuration."""
        tool = PlannerTool()
        assert tool.get_name() == "planner"
        assert "SEQUENTIAL PLANNER" in tool.get_description()
        assert tool.get_default_temperature() == 0.5  # TEMPERATURE_BALANCED
        assert tool.get_model_category() == ToolModelCategory.EXTENDED_REASONING
        assert tool.get_default_thinking_mode() == "high"
    def test_request_validation(self):
        """Test Pydantic request model validation."""
        # Valid interactive step request
        step_request = PlannerRequest(
            step="Create database migration scripts", step_number=3, total_steps=10, next_step_required=True
        )
        assert step_request.step == "Create database migration scripts"
        assert step_request.step_number == 3
        assert step_request.next_step_required is True
        assert step_request.is_step_revision is False  # default
        # Missing required fields should fail
        with pytest.raises(ValueError):
            PlannerRequest()  # Missing all required fields
        with pytest.raises(ValueError):
            PlannerRequest(step="test")  # Missing other required fields
    def test_input_schema_generation(self):
        """Test JSON schema generation for MCP client."""
        tool = PlannerTool()
        schema = tool.get_input_schema()
        assert schema["type"] == "object"
        # Interactive planning fields
        assert "step" in schema["properties"]
        assert "step_number" in schema["properties"]
        assert "total_steps" in schema["properties"]
        assert "next_step_required" in schema["properties"]
        assert "is_step_revision" in schema["properties"]
        assert "is_branch_point" in schema["properties"]
        assert "branch_id" in schema["properties"]
        assert "continuation_id" in schema["properties"]
        # Check excluded fields are NOT present
        assert "model" not in schema["properties"]
        assert "images" not in schema["properties"]
        assert "files" not in schema["properties"]
        assert "temperature" not in schema["properties"]
        assert "thinking_mode" not in schema["properties"]
        assert "use_websearch" not in schema["properties"]
        # Check required fields
        assert "step" in schema["required"]
        assert "step_number" in schema["required"]
        assert "total_steps" in schema["required"]
        assert "next_step_required" in schema["required"]
    def test_model_category_for_planning(self):
        """Test that planner uses extended reasoning category."""
        tool = PlannerTool()
        category = tool.get_model_category()
        # Planning needs deep thinking
        assert category == ToolModelCategory.EXTENDED_REASONING
    @pytest.mark.asyncio
    async def test_execute_first_step(self):
        """Test execute method for first planning step."""
        tool = PlannerTool()
        arguments = {
            "step": "Plan a microservices migration for our monolithic e-commerce platform",
            "step_number": 1,
            "total_steps": 10,
            "next_step_required": True,
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.create_thread", return_value="test-uuid-123"):
            with patch("utils.conversation_memory.add_turn"):
                result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        assert result[0].type == "text"
        # Parse the JSON response
        import json
        parsed_response = json.loads(result[0].text)
        assert parsed_response["step_number"] == 1
        assert parsed_response["total_steps"] == 10
        assert parsed_response["next_step_required"] is True
        assert parsed_response["continuation_id"] == "test-uuid-123"
        assert parsed_response["status"] == "planning_success"
    @pytest.mark.asyncio
    async def test_execute_subsequent_step(self):
        """Test execute method for subsequent planning step."""
        tool = PlannerTool()
        arguments = {
            "step": "Set up Docker containers for each microservice",
            "step_number": 2,
            "total_steps": 8,
            "next_step_required": True,
            "continuation_id": "existing-uuid-456",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.add_turn"):
            result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        assert result[0].type == "text"
        # Parse the JSON response
        import json
        parsed_response = json.loads(result[0].text)
        assert parsed_response["step_number"] == 2
        assert parsed_response["total_steps"] == 8
        assert parsed_response["next_step_required"] is True
        assert parsed_response["continuation_id"] == "existing-uuid-456"
        assert parsed_response["status"] == "planning_success"
    @pytest.mark.asyncio
    async def test_execute_with_continuation_context(self):
        """Test execute method with continuation that loads previous context."""
        tool = PlannerTool()
        arguments = {
            "step": "Continue planning the deployment phase",
            "step_number": 1,  # Step 1 with continuation_id loads context
            "total_steps": 8,
            "next_step_required": True,
            "continuation_id": "test-continuation-id",
        }
        # Mock thread with completed plan
        from utils.conversation_memory import ConversationTurn, ThreadContext
        mock_turn = ConversationTurn(
            role="assistant",
            content='{"status": "planning_success", "planning_complete": true, "plan_summary": "COMPLETE PLAN: Authentication system with 3 steps completed"}',
            tool_name="planner",
            model_name="claude-planner",
            timestamp="2024-01-01T00:00:00Z",
        )
        mock_thread = ThreadContext(
            thread_id="test-id",
            tool_name="planner",
            turns=[mock_turn],
            created_at="2024-01-01T00:00:00Z",
            last_updated_at="2024-01-01T00:00:00Z",
            initial_context={},
        )
        with patch("utils.conversation_memory.get_thread", return_value=mock_thread):
            with patch("utils.conversation_memory.add_turn"):
                result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        response_text = result[0].text
        # Should include previous plan context in JSON
        import json
        parsed_response = json.loads(response_text)
        # Check for previous plan context in the structured response
        assert "previous_plan_context" in parsed_response
        assert "Authentication system" in parsed_response["previous_plan_context"]
    @pytest.mark.asyncio
    async def test_execute_final_step(self):
        """Test execute method for final planning step."""
        tool = PlannerTool()
        arguments = {
            "step": "Deploy and monitor the new system",
            "step_number": 10,
            "total_steps": 10,
            "next_step_required": False,  # Final step
            "continuation_id": "test-uuid-789",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.add_turn"):
            result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        response_text = result[0].text
        # Parse the structured JSON response
        import json
        parsed_response = json.loads(response_text)
        # Check final step structure
        assert parsed_response["status"] == "planning_success"
        assert parsed_response["step_number"] == 10
        assert parsed_response["planning_complete"] is True
        assert "plan_summary" in parsed_response
        assert "COMPLETE PLAN:" in parsed_response["plan_summary"]
    @pytest.mark.asyncio
    async def test_execute_with_branching(self):
        """Test execute method with branching."""
        tool = PlannerTool()
        arguments = {
            "step": "Use Kubernetes for orchestration",
            "step_number": 4,
            "total_steps": 10,
            "next_step_required": True,
            "is_branch_point": True,
            "branch_from_step": 3,
            "branch_id": "cloud-native-path",
            "continuation_id": "test-uuid-branch",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.add_turn"):
            result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        response_text = result[0].text
        # Parse the JSON response
        import json
        parsed_response = json.loads(response_text)
        assert parsed_response["metadata"]["branches"] == ["cloud-native-path"]
        assert "cloud-native-path" in str(tool.branches)
    @pytest.mark.asyncio
    async def test_execute_with_revision(self):
        """Test execute method with step revision."""
        tool = PlannerTool()
        arguments = {
            "step": "Revise API design to use GraphQL instead of REST",
            "step_number": 3,
            "total_steps": 8,
            "next_step_required": True,
            "is_step_revision": True,
            "revises_step_number": 2,
            "continuation_id": "test-uuid-revision",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.add_turn"):
            result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        response_text = result[0].text
        # Parse the JSON response
        import json
        parsed_response = json.loads(response_text)
        assert parsed_response["step_number"] == 3
        assert parsed_response["next_step_required"] is True
        assert parsed_response["metadata"]["is_step_revision"] is True
        assert parsed_response["metadata"]["revises_step_number"] == 2
        # Check that step data was stored in history
        assert len(tool.step_history) > 0
        latest_step = tool.step_history[-1]
        assert latest_step["is_step_revision"] is True
        assert latest_step["revises_step_number"] == 2
    @pytest.mark.asyncio
    async def test_execute_adjusts_total_steps(self):
        """Test execute method adjusts total steps when current step exceeds estimate."""
        tool = PlannerTool()
        arguments = {
            "step": "Additional step discovered during planning",
            "step_number": 8,
            "total_steps": 5,  # Current step exceeds total
            "next_step_required": True,
            "continuation_id": "test-uuid-adjust",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.add_turn"):
            result = await tool.execute(arguments)
        # Should return a list with TextContent
        assert len(result) == 1
        response_text = result[0].text
        # Parse the JSON response
        import json
        parsed_response = json.loads(response_text)
        # Total steps should be adjusted to match current step
        assert parsed_response["total_steps"] == 8
        assert parsed_response["step_number"] == 8
        assert parsed_response["status"] == "planning_success"
    @pytest.mark.asyncio
    async def test_execute_error_handling(self):
        """Test execute method error handling."""
        tool = PlannerTool()
        # Invalid arguments - missing required fields
        arguments = {
            "step": "Invalid request"
            # Missing required fields: step_number, total_steps, next_step_required
        }
        result = await tool.execute(arguments)
        # Should return error response
        assert len(result) == 1
        response_text = result[0].text
        # Parse the JSON response
        import json
        parsed_response = json.loads(response_text)
        assert parsed_response["status"] == "planning_failed"
        assert "error" in parsed_response
    @pytest.mark.asyncio
    async def test_execute_step_history_tracking(self):
        """Test that execute method properly tracks step history."""
        tool = PlannerTool()
        # Execute multiple steps
        step1_args = {"step": "First step", "step_number": 1, "total_steps": 3, "next_step_required": True}
        step2_args = {
            "step": "Second step",
            "step_number": 2,
            "total_steps": 3,
            "next_step_required": True,
            "continuation_id": "test-uuid-history",
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.create_thread", return_value="test-uuid-history"):
            with patch("utils.conversation_memory.add_turn"):
                await tool.execute(step1_args)
                await tool.execute(step2_args)
        # Should have tracked both steps
        assert len(tool.step_history) == 2
        assert tool.step_history[0]["step"] == "First step"
        assert tool.step_history[1]["step"] == "Second step"
 # Integration test
 class TestPlannerToolIntegration:
    """Integration tests for planner tool."""
    def setup_method(self):
        """Set up model context for integration tests."""
        from utils.model_context import ModelContext
        self.tool = PlannerTool()
        self.tool._model_context = ModelContext("flash")  # Test model
    @pytest.mark.asyncio
    async def test_interactive_planning_flow(self):
        """Test complete interactive planning flow."""
        arguments = {
            "step": "Plan a complete system redesign",
            "step_number": 1,
            "total_steps": 5,
            "next_step_required": True,
        }
        # Mock conversation memory functions
        with patch("utils.conversation_memory.create_thread", return_value="test-flow-uuid"):
            with patch("utils.conversation_memory.add_turn"):
                result = await self.tool.execute(arguments)
        # Verify response structure
        assert len(result) == 1
        response_text = result[0].text
        # Parse the JSON response
        import json
        parsed_response = json.loads(response_text)
        assert parsed_response["step_number"] == 1
        assert parsed_response["total_steps"] == 5
        assert parsed_response["continuation_id"] == "test-flow-uuid"
        assert parsed_response["status"] == "planning_success"
--- a/tests/test_server.py
+++ b/tests/test_server.py
@@ -27,10 +27,11 @@ class TestServerTools:
        assert "testgen" in tool_names
        assert "refactor" in tool_names
        assert "tracer" in tool_names
        assert "planner" in tool_names
        assert "version" in tool_names
-        # Should have exactly 12 tools (including consensus, refactor, tracer, and listmodels)
+        # Should have exactly 13 tools (including consensus, refactor, tracer, listmodels, and planner)
-        assert len(tools) == 12
+        assert len(tools) == 13
        # Check descriptions are verbose
        for tool in tools:
--- a/tools/init.py
+++ b/tools/init.py
@@ -8,6 +8,7 @@ from .codereview import CodeReviewTool
 from .consensus import ConsensusTool
 from .debug import DebugIssueTool
 from .listmodels import ListModelsTool
 from .planner import PlannerTool
 from .precommit import Precommit
 from .refactor import RefactorTool
 from .testgen import TestGenerationTool
@@ -22,6 +23,7 @@ __all__ = [
    "ChatTool",
    "ConsensusTool",
    "ListModelsTool",
    "PlannerTool",
    "Precommit",
    "RefactorTool",
    "TestGenerationTool",
--- a/tools/planner.py
+++ b/tools/planner.py
@@ -0,0 +1,440 @@
 """
 Planner tool
 This tool helps you break down complex ideas, problems, or projects into multiple
 manageable steps. It enables Claude to think through larger problems sequentially, creating
 detailed action plans with clear dependencies and alternatives where applicable.
 === CONTINUATION FLOW LOGIC ===
 The tool implements sophisticated continuation logic that enables multi-session planning:
 RULE 1: No continuation_id + step_number=1
 → Creates NEW planning thread
 → NO previous context loaded
 → Returns continuation_id for future steps
 RULE 2: continuation_id provided + step_number=1
 → Loads PREVIOUS COMPLETE PLAN as context
 → Starts NEW planning session with historical context
 → Claude sees summary of previous completed plan
 RULE 3: continuation_id provided + step_number>1
 → NO previous context loaded (middle of current planning session)
 → Continues current planning without historical interference
 RULE 4: next_step_required=false (final step)
 → Stores COMPLETE PLAN summary in conversation memory
 → Returns continuation_id for future planning sessions
 === CONCRETE EXAMPLE ===
 FIRST PLANNING SESSION (Feature A):
 Call 1: planner(step="Plan user authentication", step_number=1, total_steps=3, next_step_required=true)
        → NEW thread created: "uuid-abc123"
        → Response: {"step_number": 1, "continuation_id": "uuid-abc123"}
 Call 2: planner(step="Design login flow", step_number=2, total_steps=3, next_step_required=true, continuation_id="uuid-abc123")
        → Middle of current plan - NO context loading
        → Response: {"step_number": 2, "continuation_id": "uuid-abc123"}
 Call 3: planner(step="Security implementation", step_number=3, total_steps=3, next_step_required=FALSE, continuation_id="uuid-abc123")
        → FINAL STEP: Stores "COMPLETE PLAN: Security implementation (3 steps completed)"
        → Response: {"step_number": 3, "planning_complete": true, "continuation_id": "uuid-abc123"}
 LATER PLANNING SESSION (Feature B):
 Call 1: planner(step="Plan dashboard system", step_number=1, total_steps=2, next_step_required=true, continuation_id="uuid-abc123")
        → Loads previous complete plan as context
        → Response includes: "=== PREVIOUS COMPLETE PLAN CONTEXT === Security implementation..."
        → Claude sees previous work and can build upon it
 Call 2: planner(step="Dashboard widgets", step_number=2, total_steps=2, next_step_required=FALSE, continuation_id="uuid-abc123")
        → FINAL STEP: Stores new complete plan summary
        → Both planning sessions now available for future continuations
 This enables Claude to say: "Continue planning feature C using the authentication and dashboard work"
 and the tool will provide context from both previous completed planning sessions.
 """
 import json
 import logging
 from typing import TYPE_CHECKING, Any, Optional
 from pydantic import Field
 if TYPE_CHECKING:
    from tools.models import ToolModelCategory
 from config import TEMPERATURE_BALANCED
 from systemprompts import PLANNER_PROMPT
 from .base import BaseTool, ToolRequest
 logger = logging.getLogger(__name__)
 # Field descriptions to avoid duplication between Pydantic and JSON schema
 PLANNER_FIELD_DESCRIPTIONS = {
    # Interactive planning fields for step-by-step planning
    "step": (
        "Your current planning step. For the first step, describe the task/problem to plan. "
        "For subsequent steps, provide the actual planning step content. Can include: regular planning steps, "
        "revisions of previous steps, questions about previous decisions, realizations about needing more analysis, "
        "changes in approach, etc."
    ),
    "step_number": "Current step number in the planning sequence (starts at 1)",
    "total_steps": "Current estimate of total steps needed (can be adjusted up/down as planning progresses)",
    "next_step_required": "Whether another planning step is required after this one",
    "is_step_revision": "True if this step revises/replaces a previous step",
    "revises_step_number": "If is_step_revision is true, which step number is being revised",
    "is_branch_point": "True if this step branches from a previous step to explore alternatives",
    "branch_from_step": "If is_branch_point is true, which step number is the branching point",
    "branch_id": "Identifier for the current branch (e.g., 'approach-A', 'microservices-path')",
    "more_steps_needed": "True if more steps are needed beyond the initial estimate",
    "continuation_id": "Thread continuation ID for multi-turn planning sessions (useful for seeding new plans with prior context)",
 }
 class PlanStep:
    """Represents a single step in the planning process."""
    def __init__(
        self, step_number: int, content: str, branch_id: Optional[str] = None, parent_step: Optional[int] = None
    ):
        self.step_number = step_number
        self.content = content
        self.branch_id = branch_id or "main"
        self.parent_step = parent_step
        self.children = []
 class PlannerRequest(ToolRequest):
    """Request model for the planner tool - interactive step-by-step planning."""
    # Required fields for each planning step
    step: str = Field(..., description=PLANNER_FIELD_DESCRIPTIONS["step"])
    step_number: int = Field(..., description=PLANNER_FIELD_DESCRIPTIONS["step_number"])
    total_steps: int = Field(..., description=PLANNER_FIELD_DESCRIPTIONS["total_steps"])
    next_step_required: bool = Field(..., description=PLANNER_FIELD_DESCRIPTIONS["next_step_required"])
    # Optional revision/branching fields
    is_step_revision: Optional[bool] = Field(False, description=PLANNER_FIELD_DESCRIPTIONS["is_step_revision"])
    revises_step_number: Optional[int] = Field(None, description=PLANNER_FIELD_DESCRIPTIONS["revises_step_number"])
    is_branch_point: Optional[bool] = Field(False, description=PLANNER_FIELD_DESCRIPTIONS["is_branch_point"])
    branch_from_step: Optional[int] = Field(None, description=PLANNER_FIELD_DESCRIPTIONS["branch_from_step"])
    branch_id: Optional[str] = Field(None, description=PLANNER_FIELD_DESCRIPTIONS["branch_id"])
    more_steps_needed: Optional[bool] = Field(False, description=PLANNER_FIELD_DESCRIPTIONS["more_steps_needed"])
    # Optional continuation field
    continuation_id: Optional[str] = Field(None, description=PLANNER_FIELD_DESCRIPTIONS["continuation_id"])
    # Override inherited fields to exclude them from schema
    model: Optional[str] = Field(default=None, exclude=True)
    temperature: Optional[float] = Field(default=None, exclude=True)
    thinking_mode: Optional[str] = Field(default=None, exclude=True)
    use_websearch: Optional[bool] = Field(default=None, exclude=True)
    images: Optional[list] = Field(default=None, exclude=True)
 class PlannerTool(BaseTool):
    """Sequential planning tool with step-by-step breakdown and refinement."""
    def __init__(self):
        super().__init__()
        self.step_history = []
        self.branches = {}
    def get_name(self) -> str:
        return "planner"
    def get_description(self) -> str:
        return (
            "INTERACTIVE SEQUENTIAL PLANNER - Break down complex tasks through step-by-step planning. "
            "This tool enables you to think sequentially, building plans incrementally with the ability "
            "to revise, branch, and adapt as understanding deepens.\n\n"
            "How it works:\n"
            "- Start with step 1: describe the task/problem to plan\n"
            "- Continue with subsequent steps, building the plan piece by piece\n"
            "- Adjust total_steps estimate as you progress\n"
            "- Revise previous steps when new insights emerge\n"
            "- Branch into alternative approaches when needed\n"
            "- Add more steps even after reaching the initial estimate\n\n"
            "Key features:\n"
            "- Sequential thinking with full context awareness\n"
            "- Branching for exploring alternative strategies\n"
            "- Revision capabilities to update earlier decisions\n"
            "- Dynamic step count adjustment\n\n"
            "Perfect for: complex project planning, system design with unknowns, "
            "migration strategies, architectural decisions, problem decomposition."
        )
    def get_input_schema(self) -> dict[str, Any]:
        schema = {
            "type": "object",
            "properties": {
                # Interactive planning fields
                "step": {
                    "type": "string",
                    "description": PLANNER_FIELD_DESCRIPTIONS["step"],
                },
                "step_number": {
                    "type": "integer",
                    "description": PLANNER_FIELD_DESCRIPTIONS["step_number"],
                    "minimum": 1,
                },
                "total_steps": {
                    "type": "integer",
                    "description": PLANNER_FIELD_DESCRIPTIONS["total_steps"],
                    "minimum": 1,
                },
                "next_step_required": {
                    "type": "boolean",
                    "description": PLANNER_FIELD_DESCRIPTIONS["next_step_required"],
                },
                "is_step_revision": {
                    "type": "boolean",
                    "description": PLANNER_FIELD_DESCRIPTIONS["is_step_revision"],
                },
                "revises_step_number": {
                    "type": "integer",
                    "description": PLANNER_FIELD_DESCRIPTIONS["revises_step_number"],
                    "minimum": 1,
                },
                "is_branch_point": {
                    "type": "boolean",
                    "description": PLANNER_FIELD_DESCRIPTIONS["is_branch_point"],
                },
                "branch_from_step": {
                    "type": "integer",
                    "description": PLANNER_FIELD_DESCRIPTIONS["branch_from_step"],
                    "minimum": 1,
                },
                "branch_id": {
                    "type": "string",
                    "description": PLANNER_FIELD_DESCRIPTIONS["branch_id"],
                },
                "more_steps_needed": {
                    "type": "boolean",
                    "description": PLANNER_FIELD_DESCRIPTIONS["more_steps_needed"],
                },
                "continuation_id": {
                    "type": "string",
                    "description": PLANNER_FIELD_DESCRIPTIONS["continuation_id"],
                },
            },
            # Required fields for interactive planning
            "required": ["step", "step_number", "total_steps", "next_step_required"],
        }
        return schema
    def get_system_prompt(self) -> str:
        return PLANNER_PROMPT
    def get_request_model(self):
        return PlannerRequest
    def get_default_temperature(self) -> float:
        return TEMPERATURE_BALANCED
    def get_model_category(self) -> "ToolModelCategory":
        from tools.models import ToolModelCategory
        return ToolModelCategory.EXTENDED_REASONING  # Planning benefits from deep thinking
    def get_default_thinking_mode(self) -> str:
        return "high"  # Default to high thinking for comprehensive planning
    async def execute(self, arguments: dict[str, Any]) -> list:
        """
        Override execute to work like original TypeScript tool - no AI calls, just data processing.
        This method implements the core continuation logic that enables multi-session planning:
        CONTINUATION LOGIC:
        1. If no continuation_id + step_number=1: Create new planning thread
        2. If continuation_id + step_number=1: Load previous complete plan as context for NEW planning
        3. If continuation_id + step_number>1: Continue current plan (no context loading)
        4. If next_step_required=false: Mark complete and store plan summary for future use
        CONVERSATION MEMORY INTEGRATION:
        - Each step is stored in conversation memory for cross-tool continuation
        - Final steps store COMPLETE PLAN summaries that can be loaded as context
        - Only step 1 with continuation_id loads previous context (new planning session)
        - Steps 2+ with continuation_id continue current session without context interference
        """
        from mcp.types import TextContent
        from utils.conversation_memory import add_turn, create_thread, get_thread
        try:
            # Validate request like the original
            request_model = self.get_request_model()
            request = request_model(**arguments)
            # Process step like original TypeScript tool
            if request.step_number > request.total_steps:
                request.total_steps = request.step_number
            # === CONTINUATION LOGIC IMPLEMENTATION ===
            # This implements the 4 rules documented in the module docstring
            continuation_id = request.continuation_id
            previous_plan_context = ""
            # RULE 1: No continuation_id + step_number=1 → Create NEW planning thread
            if not continuation_id and request.step_number == 1:
                # Filter arguments to only include serializable data for conversation memory
                serializable_args = {
                    k: v
                    for k, v in arguments.items()
                    if not hasattr(v, "__class__") or v.__class__.__module__ != "utils.model_context"
                }
                continuation_id = create_thread("planner", serializable_args)
                # Result: New thread created, no previous context, returns continuation_id
            # RULE 2: continuation_id + step_number=1 → Load PREVIOUS COMPLETE PLAN as context
            elif continuation_id and request.step_number == 1:
                thread = get_thread(continuation_id)
                if thread:
                    # Search for most recent COMPLETE PLAN from previous planning sessions
                    for turn in reversed(thread.turns):  # Newest first
                        if turn.tool_name == "planner" and turn.role == "assistant":
                            # Try to parse as JSON first (new format)
                            try:
                                turn_data = json.loads(turn.content)
                                if isinstance(turn_data, dict) and turn_data.get("planning_complete"):
                                    # New JSON format
                                    plan_summary = turn_data.get("plan_summary", "")
                                    if plan_summary:
                                        previous_plan_context = plan_summary[:500]
                                        break
                            except (json.JSONDecodeError, ValueError):
                                # Fallback to old text format
                                if "planning_complete" in turn.content:
                                    try:
                                        if "COMPLETE PLAN:" in turn.content:
                                            plan_start = turn.content.find("COMPLETE PLAN:")
                                            previous_plan_context = turn.content[plan_start : plan_start + 500] + "..."
                                        else:
                                            previous_plan_context = turn.content[:300] + "..."
                                        break
                                    except Exception:
                                        pass
                    if previous_plan_context:
                        previous_plan_context = f"\\n\\n=== PREVIOUS COMPLETE PLAN CONTEXT ===\\n{previous_plan_context}\\n=== END CONTEXT ===\\n"
                # Result: NEW planning session with previous complete plan as context
            # RULE 3: continuation_id + step_number>1 → Continue current plan (no context loading)
            # This case is handled by doing nothing - we're in the middle of current planning
            # Result: Current planning continues without historical interference
            step_data = {
                "step": request.step,
                "step_number": request.step_number,
                "total_steps": request.total_steps,
                "next_step_required": request.next_step_required,
                "is_step_revision": request.is_step_revision,
                "revises_step_number": request.revises_step_number,
                "is_branch_point": request.is_branch_point,
                "branch_from_step": request.branch_from_step,
                "branch_id": request.branch_id,
                "more_steps_needed": request.more_steps_needed,
                "continuation_id": request.continuation_id,
            }
            # Store in local history like original
            self.step_history.append(step_data)
            # Handle branching like original
            if request.is_branch_point and request.branch_from_step and request.branch_id:
                if request.branch_id not in self.branches:
                    self.branches[request.branch_id] = []
                self.branches[request.branch_id].append(step_data)
            # Build structured JSON response like other tools (consensus, refactor)
            response_data = {
                "status": "planning_success",
                "step_number": request.step_number,
                "total_steps": request.total_steps,
                "next_step_required": request.next_step_required,
                "step_content": request.step,
                "metadata": {
                    "branches": list(self.branches.keys()),
                    "step_history_length": len(self.step_history),
                    "is_step_revision": request.is_step_revision or False,
                    "revises_step_number": request.revises_step_number,
                    "is_branch_point": request.is_branch_point or False,
                    "branch_from_step": request.branch_from_step,
                    "branch_id": request.branch_id,
                    "more_steps_needed": request.more_steps_needed or False,
                },
                "output": {
                    "instructions": "This is a structured planning response. Present the step_content as the main planning analysis. If next_step_required is true, continue with the next step. If planning_complete is true, present the complete plan in a well-structured format with clear sections, headings, numbered steps, and visual elements like ASCII charts for phases/dependencies. Use bullet points, sub-steps, sequences, and visual organization to make complex plans easy to understand and follow. IMPORTANT: Do NOT use emojis - use clear text formatting and ASCII characters only. Do NOT mention time estimates or costs unless explicitly requested.",
                    "format": "step_by_step_planning",
                    "presentation_guidelines": {
                        "completed_plans": "Use clear headings, numbered phases, ASCII diagrams for workflows/dependencies, bullet points for sub-tasks, and visual sequences where helpful. No emojis. No time/cost estimates unless requested.",
                        "step_content": "Present as main analysis with clear structure and actionable insights. No emojis. No time/cost estimates unless requested.",
                        "continuation": "Use continuation_id for related planning sessions or implementation planning",
                    },
                },
            }
            # Always include continuation_id if we have one (enables step chaining within session)
            if continuation_id:
                response_data["continuation_id"] = continuation_id
            # Add previous plan context if available
            if previous_plan_context:
                response_data["previous_plan_context"] = previous_plan_context.strip()
            # RULE 4: next_step_required=false → Mark complete and store plan summary
            if not request.next_step_required:
                response_data["planning_complete"] = True
                response_data["plan_summary"] = (
                    f"COMPLETE PLAN: {request.step} (Total {request.total_steps} steps completed)"
                )
                response_data["next_steps"] = (
                    "Planning complete. Present the complete plan to the user in a well-structured format with clear sections, "
                    "numbered steps, visual elements (ASCII charts/diagrams where helpful), sub-step breakdowns, and implementation guidance. "
                    "Use headings, bullet points, and visual organization to make the plan easy to follow. "
                    "If there are phases, dependencies, or parallel tracks, show these relationships visually. "
                    "IMPORTANT: Do NOT use emojis - use clear text formatting and ASCII characters only. "
                    "Do NOT mention time estimates or costs unless explicitly requested. "
                    "After presenting the plan, offer to either help implement specific parts or use the continuation_id to start related planning sessions."
                )
                # Result: Planning marked complete, summary stored for future context loading
            else:
                response_data["planning_complete"] = False
                remaining_steps = request.total_steps - request.step_number
                response_data["next_steps"] = (
                    f"Continue with step {request.step_number + 1}. Approximately {remaining_steps} steps remaining."
                )
                # Result: Intermediate step, planning continues
            # Convert to clean JSON response
            response_content = json.dumps(response_data, indent=2)
            # Store this step in conversation memory
            if continuation_id:
                add_turn(
                    thread_id=continuation_id,
                    role="assistant",
                    content=response_content,
                    tool_name="planner",
                    model_name="claude-planner",
                )
            # Return the JSON response directly as text content, like consensus tool
            return [TextContent(type="text", text=response_content)]
        except Exception as e:
            # Error handling - return JSON directly like consensus tool
            error_data = {"error": str(e), "status": "planning_failed"}
            return [TextContent(type="text", text=json.dumps(error_data, indent=2))]
    # Stub implementations for abstract methods (not used since we override execute)
    async def prepare_prompt(self, request: PlannerRequest) -> str:
        return ""  # Not used - execute() is overridden
    def format_response(self, response: str, request: PlannerRequest, model_info: dict = None) -> str:
        return response  # Not used - execute() is overridden