File size: 4,047 Bytes
1e49a59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 | """Utility to load and parse agent definitions and process specifications from markdown files."""
import re
from pathlib import Path
from typing import Dict, Any, Optional, Tuple
def load_process_specifications(docs_dir: Path) -> Tuple[str, str]:
"""
Load process description and constraints from markdown files.
Args:
docs_dir: Directory containing the process specification files
Returns:
Tuple of (process_description, process_constraints) as strings
"""
process_desc_path = docs_dir / "process-description.md"
process_constraints_path = docs_dir / "process-constraints.md"
process_description = ""
if process_desc_path.exists():
process_description = process_desc_path.read_text(encoding="utf-8")
process_constraints = ""
if process_constraints_path.exists():
process_constraints = process_constraints_path.read_text(encoding="utf-8")
return process_description, process_constraints
def load_agent_definition(markdown_path: Path) -> Dict[str, Any]:
"""
Load agent definition from a markdown file.
Args:
markdown_path: Path to the markdown file containing agent definition
Returns:
Dictionary containing parsed agent configuration
"""
if not markdown_path.exists():
raise FileNotFoundError(f"Agent definition file not found: {markdown_path}")
content = markdown_path.read_text(encoding="utf-8")
# Parse the markdown content
agent_def = {
"name": _extract_section(content, "Agent Name"),
"role": _extract_section(content, "Role"),
"capabilities": _extract_section(content, "Capabilities"),
"system_prompt": _extract_section(content, "System Prompt"),
"tools": _extract_section(content, "Tools"),
"behavior_guidelines": _extract_section(content, "Behavior Guidelines"),
"examples": _extract_section(content, "Example Interactions"),
"configuration": _extract_section(content, "Configuration"),
}
return agent_def
def _extract_section(content: str, section_name: str) -> Optional[str]:
"""
Extract a section from markdown content.
Args:
content: Full markdown content
section_name: Name of the section to extract
Returns:
Section content or None if not found
"""
# Pattern to match section headers (## Section Name)
pattern = rf"##\s+{re.escape(section_name)}\s*\n(.*?)(?=\n##|\Z)"
match = re.search(pattern, content, re.DOTALL | re.IGNORECASE)
if match:
section_content = match.group(1).strip()
return section_content
return None
def get_system_prompt(agent_def: Dict[str, Any], process_description: str = "",
process_constraints: str = "") -> str:
"""
Extract and format the system prompt from agent definition with process context.
Args:
agent_def: Agent definition dictionary
process_description: Imperative process description
process_constraints: Normative process constraints
Returns:
Formatted system prompt string with process context
"""
system_prompt = agent_def.get("system_prompt", "")
# Add role context if available
if agent_def.get("role"):
system_prompt = f"Role: {agent_def['role']}\n\n{system_prompt}"
# Add behavior guidelines if available
if agent_def.get("behavior_guidelines"):
system_prompt += f"\n\nBehavior Guidelines:\n{agent_def['behavior_guidelines']}"
# Add process context if available
if process_description:
system_prompt += f"\n\n## Process Description (Imperative)\n{process_description}"
if process_constraints:
system_prompt += f"\n\n## Process Constraints (Normative - STRICT)\n{process_constraints}"
system_prompt += "\n\nREMEMBER: The process constraints are MANDATORY and must NEVER be violated."
return system_prompt
# Made with Bob
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