Initial commit: VoIdeaAI - voice-first AI idea assistant

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2026-05-13 12:51:42 +03:00
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"""Prompt loader for AI agents.
Loads prompts from agent spec files or YAML configuration.
"""
import re
from pathlib import Path
from typing import Any, Optional
import yaml
AGENT_SPECS_DIR = Path("docs/specs/agents")
AGENT_PROMPTS_YAML = Path("docs/agent_prompts.yaml")
def get_agent_roles() -> list[str]:
"""Get all available agent roles."""
roles = []
if AGENT_PROMPTS_YAML.exists():
data = yaml.safe_load(AGENT_PROMPTS_YAML.read_text(encoding="utf-8"))
return list(data.keys()) if data else []
if AGENT_SPECS_DIR.exists():
for f in sorted(AGENT_SPECS_DIR.glob("*.md")):
roles.append(f.stem)
return roles
def load_prompt_from_yaml(role: str) -> Optional[dict[str, Any]]:
"""Load prompt config from YAML file."""
if not AGENT_PROMPTS_YAML.exists():
return None
data = yaml.safe_load(AGENT_PROMPTS_YAML.read_text(encoding="utf-8"))
return data.get(role) if data else None
def load_prompt_from_spec(role: str) -> Optional[dict[str, Any]]:
"""Load prompt from agent spec markdown file."""
spec_path = AGENT_SPECS_DIR / f"{role}.md"
if not spec_path.exists():
return None
content = spec_path.read_text(encoding="utf-8")
def extract_field(label: str) -> Optional[str]:
match = re.search(rf"\*\*{label}:\*\*\s*(.+)", content)
return match.group(1).strip() if match else None
def extract_prompt() -> Optional[str]:
match = re.search(
r"## Prompt Template\n+```\n(.+?)\n```",
content,
re.DOTALL,
)
return match.group(1).strip() if match else None
provider_str = extract_field("Провайдер") or extract_field("Provider") or "yandex_gpt"
provider = "gigachat" if "gigachat" in (provider_str or "").lower() else "yandex_gpt"
prompt_text = extract_prompt()
if not prompt_text:
return None
return {
"system_prompt": prompt_text,
"provider": provider,
"temperature": 0.7,
"max_tokens": 2000,
}
def get_prompt_config(role: str) -> Optional[dict[str, Any]]:
"""Get prompt configuration for a role.
Tries YAML first, falls back to spec markdown.
Args:
role: Agent role name (e.g. "coordinator", "business_analyst")
Returns:
Dict with keys: system_prompt, provider, temperature, max_tokens
or None if not found.
"""
config = load_prompt_from_yaml(role)
if config:
return config
return load_prompt_from_spec(role)