Files
tf_code/packages/tf-sync/src/tf_sync/agents.py
Gab abdfa7330e feat: initialize tfcode project structure
- Add README.md as living documentation
- Add tfcode.json schema and config template
- Add FORK_MANAGEMENT.md with mirror-based fork strategy
- Add scripts/rebrand.sh for reapplying branding after upstream merges
- Add packages/tf-sync Python module using official ToothFairyAI SDK
- Add packages/tf-mcp-bridge TypeScript module (stub)
- Multi-region support (AU, EU, US)
- Tool sync: MCP servers, Agent Skills, Database Scripts, API Functions
2026-03-24 13:02:06 +11:00

39 lines
918 B
Python

"""
Agent sync module for tfcode.
NOTE: This module is reserved for future implementation.
Currently, tfcode only syncs tools (MCP, Skills, Database, Functions).
Agent sync will be added in a later phase.
"""
from typing import Any
from pydantic import BaseModel
from tf_sync.config import TFConfig
class AgentSyncResult(BaseModel):
"""Result of agent sync operation."""
success: bool
agents: list[dict[str, Any]] = []
error: str | None = None
def sync_agents(config: TFConfig) -> AgentSyncResult:
"""
Sync agents from ToothFairyAI workspace.
NOTE: Currently not implemented. Reserved for future use.
Args:
config: TFConfig instance
Returns:
AgentSyncResult (currently always returns not implemented)
"""
return AgentSyncResult(
success=False,
error="Agent sync not yet implemented. Use tools sync for now.",
)