mirror of
https://github.com/mistralai/mistral-vibe
synced 2026-04-25 17:14:55 +02:00
Co-authored-by: Quentin Torroba <quentin.torroba@mistral.ai> Co-authored-by: Clément Drouin <clement.drouin@mistral.ai> Co-authored-by: Clément Sirieix <clement.sirieix@mistral.ai> Co-authored-by: Mistral Vibe <vibe@mistral.ai>
199 lines
5.6 KiB
Python
199 lines
5.6 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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from enum import StrEnum, auto
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from pathlib import Path
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import tomllib
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from typing import TYPE_CHECKING, Any
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from vibe.core.paths import PLANS_DIR
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if TYPE_CHECKING:
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from vibe.core.config import VibeConfig
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def _deep_merge(base: dict[str, Any], override: dict[str, Any]) -> dict[str, Any]:
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result = base.copy()
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for key, value in override.items():
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if key in result and isinstance(result[key], dict) and isinstance(value, dict):
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result[key] = _deep_merge(result[key], value)
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else:
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result[key] = value
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return result
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class AgentSafety(StrEnum):
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SAFE = auto()
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NEUTRAL = auto()
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DESTRUCTIVE = auto()
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YOLO = auto()
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class AgentType(StrEnum):
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AGENT = auto()
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SUBAGENT = auto()
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class BuiltinAgentName(StrEnum):
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DEFAULT = "default"
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CHAT = "chat"
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PLAN = "plan"
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ACCEPT_EDITS = "accept-edits"
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AUTO_APPROVE = "auto-approve"
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EXPLORE = "explore"
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LEAN = "lean"
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@dataclass(frozen=True)
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class AgentProfile:
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name: str
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display_name: str
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description: str
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safety: AgentSafety
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agent_type: AgentType = AgentType.AGENT
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overrides: dict[str, Any] = field(default_factory=dict)
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install_required: bool = False
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def apply_to_config(self, base: VibeConfig) -> VibeConfig:
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from vibe.core.config import VibeConfig as VC
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merged = _deep_merge(
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base.model_dump(),
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{k: v for k, v in self.overrides.items() if k != "base_disabled"},
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)
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base_disabled = self.overrides.get("base_disabled")
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if isinstance(base_disabled, list):
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merged["disabled_tools"] = list({
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*base_disabled,
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*merged.get("disabled_tools", []),
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})
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return VC.model_validate(merged)
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@classmethod
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def from_toml(cls, path: Path) -> AgentProfile:
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with path.open("rb") as f:
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data = tomllib.load(f)
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return cls(
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name=path.stem,
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display_name=data.pop("display_name", path.stem.replace("-", " ").title()),
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description=data.pop("description", ""),
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safety=AgentSafety(data.pop("safety", AgentSafety.NEUTRAL)),
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agent_type=AgentType(data.pop("agent_type", AgentType.AGENT)),
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overrides=data,
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)
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CHAT_AGENT_TOOLS = ["grep", "read_file", "ask_user_question", "task"]
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def _plan_overrides() -> dict[str, Any]:
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plans_pattern = str(PLANS_DIR.path / "*")
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return {
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"tools": {
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"write_file": {"permission": "never", "allowlist": [plans_pattern]},
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"search_replace": {"permission": "never", "allowlist": [plans_pattern]},
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}
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}
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DEFAULT = AgentProfile(
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BuiltinAgentName.DEFAULT,
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"Default",
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"Requires approval for tool executions",
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AgentSafety.NEUTRAL,
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overrides={"base_disabled": ["exit_plan_mode"]},
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)
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PLAN = AgentProfile(
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BuiltinAgentName.PLAN,
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"Plan",
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"Read-only agent for exploration and planning",
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AgentSafety.SAFE,
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overrides=_plan_overrides(),
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)
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CHAT = AgentProfile(
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BuiltinAgentName.CHAT,
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"Chat",
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"Read-only conversational mode for questions and discussions",
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AgentSafety.SAFE,
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overrides={"auto_approve": True, "enabled_tools": CHAT_AGENT_TOOLS},
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)
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ACCEPT_EDITS = AgentProfile(
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BuiltinAgentName.ACCEPT_EDITS,
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"Accept Edits",
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"Auto-approves file edits only",
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AgentSafety.DESTRUCTIVE,
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overrides={
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"base_disabled": ["exit_plan_mode"],
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"tools": {
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"write_file": {"permission": "always"},
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"search_replace": {"permission": "always"},
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},
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},
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)
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AUTO_APPROVE = AgentProfile(
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BuiltinAgentName.AUTO_APPROVE,
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"Auto Approve",
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"Auto-approves all tool executions",
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AgentSafety.YOLO,
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overrides={"auto_approve": True, "base_disabled": ["exit_plan_mode"]},
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)
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EXPLORE = AgentProfile(
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name=BuiltinAgentName.EXPLORE,
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display_name="Explore",
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description="Read-only subagent for codebase exploration",
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safety=AgentSafety.SAFE,
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agent_type=AgentType.SUBAGENT,
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overrides={"enabled_tools": ["grep", "read_file"], "system_prompt_id": "explore"},
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)
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LEAN = AgentProfile(
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name=BuiltinAgentName.LEAN,
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display_name="Lean",
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description="Specialized mode for Lean 4 code analysis, proof assistance, and theorem proving",
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safety=AgentSafety.NEUTRAL,
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agent_type=AgentType.AGENT,
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install_required=True,
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overrides={
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"system_prompt_id": "lean",
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"active_model": "leanstral",
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"providers": [
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{
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"name": "mistral-testing",
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"api_base": "https://api.mistral.ai/v1",
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"api_key_env_var": "MISTRAL_API_KEY",
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"backend": "mistral",
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}
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],
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"models": [
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{
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"name": "labs-leanstral-2603",
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"provider": "mistral-testing",
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"alias": "leanstral",
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"thinking": "high",
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"temperature": 1.0,
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"auto_compact_threshold": 168_000,
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}
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],
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"compaction_model": {
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"name": "mistral-vibe-cli-latest",
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"provider": "mistral-testing",
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"alias": "devstral-compact",
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"temperature": 0.2,
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"thinking": "off",
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},
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"tools": {"bash": {"default_timeout": 1200}},
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"base_disabled": ["exit_plan_mode"],
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},
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)
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BUILTIN_AGENTS: dict[str, AgentProfile] = {
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BuiltinAgentName.DEFAULT: DEFAULT,
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BuiltinAgentName.PLAN: PLAN,
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BuiltinAgentName.ACCEPT_EDITS: ACCEPT_EDITS,
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BuiltinAgentName.AUTO_APPROVE: AUTO_APPROVE,
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BuiltinAgentName.EXPLORE: EXPLORE,
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BuiltinAgentName.LEAN: LEAN,
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}
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