vibe/vibe/core/programmatic.py
Mathias Gesbert d33db9fff8 2.0.0
Co-Authored-By: Quentin Torroba <quentin.torroba@mistral.ai>
Co-Authored-By: Michel Thomazo <michel.thomazo@mistral.ai>
Co-Authored-By: Clément Drouin <clement.drouin@mistral.ai>
Co-Authored-By: Vincent Guilloux <vincent.guilloux@mistral.ai>
Co-Authored-By: Clément Siriex <clement.sirieix@mistral.ai>
Co-Authored-By: Kim-Adeline Miguel <kimadeline.miguel@mistral.ai>
Co-Authored-By: Thaddee Tyl <thaddee.tyl@gmail.com>
Co-Authored-By: David Brochart <david.brochart@gmail.com>
Co-Authored-By: Joseph Guhlin <joseph.guhlin@gmail.com>
Co-Authored-By: Thomas Kenbeek <thomaskenbeek@gmail.com>
Co-Authored-By: Remenby31 <baptiste.cruvellier31@gmail.com>
2026-01-27 16:44:55 +01:00

51 lines
1.7 KiB
Python

from __future__ import annotations
import asyncio
from vibe.core.agent_loop import AgentLoop
from vibe.core.agents.models import BuiltinAgentName
from vibe.core.config import VibeConfig
from vibe.core.output_formatters import create_formatter
from vibe.core.types import AssistantEvent, LLMMessage, OutputFormat, Role
from vibe.core.utils import ConversationLimitException, logger
def run_programmatic(
config: VibeConfig,
prompt: str,
max_turns: int | None = None,
max_price: float | None = None,
output_format: OutputFormat = OutputFormat.TEXT,
previous_messages: list[LLMMessage] | None = None,
agent_name: str = BuiltinAgentName.AUTO_APPROVE,
) -> str | None:
formatter = create_formatter(output_format)
agent_loop = AgentLoop(
config,
agent_name=agent_name,
message_observer=formatter.on_message_added,
max_turns=max_turns,
max_price=max_price,
enable_streaming=False,
)
logger.info("USER: %s", prompt)
async def _async_run() -> str | None:
if previous_messages:
non_system_messages = [
msg for msg in previous_messages if not (msg.role == Role.system)
]
agent_loop.messages.extend(non_system_messages)
logger.info(
"Loaded %d messages from previous session", len(non_system_messages)
)
async for event in agent_loop.act(prompt):
formatter.on_event(event)
if isinstance(event, AssistantEvent) and event.stopped_by_middleware:
raise ConversationLimitException(event.content)
return formatter.finalize()
return asyncio.run(_async_run())