442decba70
Improved testgen; encourages follow-ups with less work in between and less token generation to avoid surpassing the 25K barrier Improved coderevew tool to request a focused code review instead where a single-pass code review is too large or complex
133 lines
5.2 KiB
Python
133 lines
5.2 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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"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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# 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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}
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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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