Files
my-pal-mcp-server/tools/models.py
Fahad 299f7d3897 feat: add Claude-Gemini collaboration and chat capabilities
- Add collaboration demo showing dynamic context requests
- Implement chat tool for general conversations and brainstorming
- Add tool selection guide with clear boundaries
- Introduce models configuration system
- Update prompts for better tool descriptions
- Refactor server to remove redundant functionality
- Add comprehensive tests for collaboration features
- Enhance base tool with collaborative features

This enables Claude to request additional context from Gemini
during tool execution, improving analysis quality and accuracy.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-09 11:17:26 +04:00

60 lines
2.2 KiB
Python

"""
Data models for tool responses and interactions
"""
from pydantic import BaseModel, Field
from typing import Literal, Optional, Dict, Any, List
class ToolOutput(BaseModel):
"""Standardized output format for all tools"""
status: Literal["success", "error", "requires_clarification"] = "success"
content: str = Field(..., description="The main content/response from the tool")
content_type: Literal["text", "markdown", "json"] = "text"
metadata: Optional[Dict[str, Any]] = Field(default_factory=dict)
class ClarificationRequest(BaseModel):
"""Request for additional context or clarification"""
question: str = Field(..., description="Question to ask Claude for more context")
files_needed: Optional[List[str]] = Field(
default_factory=list, description="Specific files that are needed for analysis"
)
suggested_next_action: Optional[Dict[str, Any]] = Field(
None,
description="Suggested tool call with parameters after getting clarification",
)
class DiagnosticHypothesis(BaseModel):
"""A debugging hypothesis with context and next steps"""
rank: int = Field(..., description="Ranking of this hypothesis (1 = most likely)")
confidence: Literal["high", "medium", "low"] = Field(
..., description="Confidence level"
)
hypothesis: str = Field(..., description="Description of the potential root cause")
reasoning: str = Field(..., description="Why this hypothesis is plausible")
next_step: str = Field(
..., description="Suggested action to test/validate this hypothesis"
)
class StructuredDebugResponse(BaseModel):
"""Enhanced debug response with multiple hypotheses"""
summary: str = Field(..., description="Brief summary of the issue")
hypotheses: List[DiagnosticHypothesis] = Field(
..., description="Ranked list of potential causes"
)
immediate_actions: List[str] = Field(
default_factory=list,
description="Immediate steps to take regardless of root cause",
)
additional_context_needed: Optional[List[str]] = Field(
default_factory=list,
description="Additional files or information that would help with analysis",
)