4becd70a82
New test to confirm history build-up and system prompt does not affect prompt size checks Also check for large prompts in focus_on Fixed .env.example incorrectly did not comment out CUSTOM_API causing the run-server script to think at least one key exists
188 lines
8.0 KiB
Python
188 lines
8.0 KiB
Python
"""
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Data models for tool responses and interactions
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"""
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from enum import Enum
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from typing import Any, Literal, Optional
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from pydantic import BaseModel, Field
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class ToolModelCategory(Enum):
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"""Categories for tool model selection based on requirements."""
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EXTENDED_REASONING = "extended_reasoning" # Requires deep thinking capabilities
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FAST_RESPONSE = "fast_response" # Speed and cost efficiency preferred
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BALANCED = "balanced" # Balance of capability and performance
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class ContinuationOffer(BaseModel):
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"""Offer for Claude to continue conversation when Gemini doesn't ask follow-up"""
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continuation_id: str = Field(
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..., description="Thread continuation ID for multi-turn conversations across different tools"
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)
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note: str = Field(..., description="Message explaining continuation opportunity to Claude")
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suggested_tool_params: Optional[dict[str, Any]] = Field(
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None, description="Suggested parameters for continued tool usage"
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)
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remaining_turns: int = Field(..., description="Number of conversation turns remaining")
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class ToolOutput(BaseModel):
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"""Standardized output format for all tools"""
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status: Literal[
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"success",
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"error",
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"clarification_required",
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"full_codereview_required",
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"focused_review_required",
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"test_sample_needed",
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"more_tests_required",
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"refactor_analysis_complete",
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"resend_prompt",
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"continuation_available",
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] = "success"
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content: Optional[str] = Field(None, description="The main content/response from the tool")
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content_type: Literal["text", "markdown", "json"] = "text"
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metadata: Optional[dict[str, Any]] = Field(default_factory=dict)
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continuation_offer: Optional[ContinuationOffer] = Field(
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None, description="Optional offer for Claude to continue conversation"
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)
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class ClarificationRequest(BaseModel):
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"""Request for additional context or clarification"""
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status: Literal["clarification_required"] = "clarification_required"
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question: str = Field(..., description="Question to ask Claude for more context")
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files_needed: Optional[list[str]] = Field(
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default_factory=list, description="Specific files that are needed for analysis"
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)
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suggested_next_action: Optional[dict[str, Any]] = Field(
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None,
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description="Suggested tool call with parameters after getting clarification",
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)
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class FullCodereviewRequired(BaseModel):
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"""Request for full code review when scope is too large for quick review"""
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status: Literal["full_codereview_required"] = "full_codereview_required"
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important: Optional[str] = Field(None, description="Important message about escalation")
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reason: Optional[str] = Field(None, description="Reason why full review is needed")
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class FocusedReviewRequired(BaseModel):
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"""Request for Claude to provide smaller, focused subsets of code for review"""
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status: Literal["focused_review_required"] = "focused_review_required"
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reason: str = Field(..., description="Why the current scope is too large for effective review")
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suggestion: str = Field(
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..., description="Suggested approach for breaking down the review into smaller, focused parts"
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)
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class TestSampleNeeded(BaseModel):
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"""Request for additional test samples to determine testing framework"""
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status: Literal["test_sample_needed"] = "test_sample_needed"
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reason: str = Field(..., description="Reason why additional test samples are required")
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class MoreTestsRequired(BaseModel):
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"""Request for continuation to generate additional tests"""
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status: Literal["more_tests_required"] = "more_tests_required"
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pending_tests: str = Field(..., description="List of pending tests to be generated")
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class RefactorOpportunity(BaseModel):
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"""A single refactoring opportunity with precise targeting information"""
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id: str = Field(..., description="Unique identifier for this refactoring opportunity")
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type: Literal["decompose", "codesmells", "modernize", "organization"] = Field(
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..., description="Type of refactoring"
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)
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severity: Literal["critical", "high", "medium", "low"] = Field(..., description="Severity level")
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file: str = Field(..., description="Absolute path to the file")
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start_line: int = Field(..., description="Starting line number")
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end_line: int = Field(..., description="Ending line number")
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context_start_text: str = Field(..., description="Exact text from start line for verification")
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context_end_text: str = Field(..., description="Exact text from end line for verification")
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issue: str = Field(..., description="Clear description of what needs refactoring")
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suggestion: str = Field(..., description="Specific refactoring action to take")
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rationale: str = Field(..., description="Why this improves the code")
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code_to_replace: str = Field(..., description="Original code that should be changed")
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replacement_code_snippet: str = Field(..., description="Refactored version of the code")
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new_code_snippets: Optional[list[dict]] = Field(
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default_factory=list, description="Additional code snippets to be added"
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)
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class RefactorAction(BaseModel):
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"""Next action for Claude to implement refactoring"""
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action_type: Literal["EXTRACT_METHOD", "SPLIT_CLASS", "MODERNIZE_SYNTAX", "REORGANIZE_CODE", "DECOMPOSE_FILE"] = (
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Field(..., description="Type of action to perform")
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)
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target_file: str = Field(..., description="Absolute path to target file")
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source_lines: str = Field(..., description="Line range (e.g., '45-67')")
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description: str = Field(..., description="Step-by-step action description for Claude")
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class RefactorAnalysisComplete(BaseModel):
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"""Complete refactor analysis with prioritized opportunities"""
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status: Literal["refactor_analysis_complete"] = "refactor_analysis_complete"
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refactor_opportunities: list[RefactorOpportunity] = Field(..., description="List of refactoring opportunities")
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priority_sequence: list[str] = Field(..., description="Recommended order of refactoring IDs")
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next_actions_for_claude: list[RefactorAction] = Field(..., description="Specific actions for Claude to implement")
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class ResendPromptRequest(BaseModel):
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"""Request to resend prompt via file due to size limits"""
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status: Literal["resend_prompt"] = "resend_prompt"
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content: str = Field(..., description="Instructions for handling large prompt")
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content_type: Literal["text"] = "text"
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metadata: dict[str, Any] = Field(default_factory=dict)
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# Registry mapping status strings to their corresponding Pydantic models
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SPECIAL_STATUS_MODELS = {
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"clarification_required": ClarificationRequest,
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"full_codereview_required": FullCodereviewRequired,
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"focused_review_required": FocusedReviewRequired,
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"test_sample_needed": TestSampleNeeded,
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"more_tests_required": MoreTestsRequired,
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"refactor_analysis_complete": RefactorAnalysisComplete,
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"resend_prompt": ResendPromptRequest,
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}
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class DiagnosticHypothesis(BaseModel):
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"""A debugging hypothesis with context and next steps"""
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rank: int = Field(..., description="Ranking of this hypothesis (1 = most likely)")
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confidence: Literal["high", "medium", "low"] = Field(..., description="Confidence level")
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hypothesis: str = Field(..., description="Description of the potential root cause")
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reasoning: str = Field(..., description="Why this hypothesis is plausible")
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next_step: str = Field(..., description="Suggested action to test/validate this hypothesis")
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class StructuredDebugResponse(BaseModel):
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"""Enhanced debug response with multiple hypotheses"""
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summary: str = Field(..., description="Brief summary of the issue")
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hypotheses: list[DiagnosticHypothesis] = Field(..., description="Ranked list of potential causes")
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immediate_actions: list[str] = Field(
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default_factory=list,
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description="Immediate steps to take regardless of root cause",
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)
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additional_context_needed: Optional[list[str]] = Field(
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default_factory=list,
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description="Additional files or information that would help with analysis",
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)
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