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from __future__ import annotations as _annotations
import json
from collections.abc import Callable, Sequence
from pathlib import Path
from typing import TypeAlias
import dotenv
from acp.schema import SessionModelState
from pydantic_ai import (
Agent,
DeferredToolRequests,
DeferredToolResults,
ModelMessagesTypeAdapter,
)
from pydantic_ai.messages import ModelMessage, ToolCallPart
from pydantic_ai.models import Model
from pydantic_ai.tools import ToolDenied
from vcode.approvals import ApprovalPolicy, ApprovalRequest
from vcode.caps import build_runtime_caps
from vcode.hooks import HookEventCollector
from vcode.modes import DEFAULT_MODE_ID, get_mode
from vcode.preferences import active_model_for_mode, build_model_state, load_preferences
from vcode.runtime.commands import (
RuntimeCommandContext,
handle_runtime_command,
normalize_prompt_text,
persist_command_response,
)
from vcode.runtime.projections import build_tool_projections
from vcode.runtime.types import TurnResult
from vcode.sessions import SessionMessage, SessionRecord, SessionStore
from vcode.workspace import AgentDeps
dotenv.load_dotenv()
__all__ = ("VCodeRuntime",)
ModelReference: TypeAlias = Model | str
def _render_output(output: object) -> str:
if isinstance(output, str):
return output
return json.dumps(output, indent=2, sort_keys=True, ensure_ascii=True)
class VCodeRuntime:
def __init__(
self,
store: SessionStore | None = None,
model_resolver: Callable[[str], ModelReference] | None = None,
approval_policy: ApprovalPolicy | None = None,
) -> None:
self.store = store or SessionStore()
self.model_resolver = model_resolver or (lambda model_id: model_id)
self.approval_policy = approval_policy or ApprovalPolicy(store=self.store)
def build_agent(self, workspace: Path) -> Agent[AgentDeps, str]:
return Agent[AgentDeps, str](
capabilities=build_runtime_caps(workspace),
deps_type=AgentDeps,
instructions=(
"You are vCode, a coding agent for a local workspace. "
"Use tools when needed. Respect the active mode. "
"Ask mode is read-only. Plan mode may only write under .vcode/plans. "
"Agent mode may edit the workspace."
),
)
def create_session(self, cwd: Path, mode_id: str | None = None) -> SessionRecord:
workspace = cwd.resolve()
if mode_id is None:
mode_id = load_preferences(workspace).default_mode or DEFAULT_MODE_ID
return self.store.create(workspace, mode_id)
def clone_session(self, cwd: Path, session_id: str) -> SessionRecord | None:
return self.store.clone(cwd.resolve(), session_id)
def load_session(self, cwd: Path, session_id: str) -> SessionRecord | None:
return self.store.load(cwd.resolve(), session_id)
def list_sessions(self, cwd: Path) -> list[SessionRecord]:
return self.store.list(cwd.resolve())
def set_mode(self, cwd: Path, session_id: str, mode_id: str) -> SessionRecord | None:
if get_mode(mode_id) is None:
return None
return self.store.set_mode(cwd.resolve(), session_id, mode_id)
def build_model_state(self, cwd: Path, mode_id: str) -> SessionModelState:
return build_model_state(cwd.resolve(), mode_id)
def read_history(self, cwd: Path, session_id: str) -> list[SessionMessage]:
return self.store.read_history(cwd.resolve(), session_id)
def read_model_messages(self, cwd: Path, session_id: str) -> Sequence[ModelMessage] | None:
payload = self.store.read_model_messages_json(cwd.resolve(), session_id)
if payload is None:
return None
return ModelMessagesTypeAdapter.validate_json(payload)
async def run_prompt(self, cwd: Path, session_id: str, prompt_text: str) -> TurnResult | None:
workspace = cwd.resolve()
record = self.store.load(workspace, session_id)
if record is None:
return None
normalized_prompt = normalize_prompt_text(prompt_text)
if not normalized_prompt:
return TurnResult(response_text="Prompt was empty.")
command_context = RuntimeCommandContext(
workspace=workspace,
session_id=session_id,
mode_id=record.mode_id,
store=self.store,
approval_policy=self.approval_policy,
)
command_response = handle_runtime_command(normalized_prompt, context=command_context)
if command_response is not None:
persist_command_response(normalized_prompt, command_response, context=command_context)
return TurnResult(response_text=command_response)
active_model = active_model_for_mode(workspace, record.mode_id)
if not active_model:
response_text = (
"No model configured. Set `.vcode/preferences.json` `default_model` "
"or use `/model provider:model`. Use `/models` to list supported model ids."
)
self.store.append_message(workspace, session_id, "user", normalized_prompt)
self.store.append_message(workspace, session_id, "assistant", response_text)
return TurnResult(response_text=response_text)
message_history = self.read_model_messages(workspace, session_id)
hook_event_collector = HookEventCollector()
deps = AgentDeps(
workspace_root=workspace,
mode_id=record.mode_id,
session_id=session_id,
approval_policy=self.approval_policy,
hook_event_collector=hook_event_collector,
)
agent = self.build_agent(workspace)
model = self.model_resolver(active_model)
prompt_input: str | None = normalized_prompt
deferred_results: DeferredToolResults | None = None
projection_messages: list[ModelMessage] = []
while True:
try:
result = await agent.run(
prompt_input,
deps=deps,
deferred_tool_results=deferred_results,
model=model,
message_history=message_history,
output_type=[str, DeferredToolRequests],
)
except Exception as exc:
response_text = f"Model run failed for {active_model}: {exc}"
tool_projections = ()
break
projection_messages.extend(result.new_messages())
if isinstance(result.output, DeferredToolRequests):
resolved = await self._resolve_deferred_requests(
workspace,
session_id,
result.output,
)
if resolved is None:
response_text = self._pending_approval_message(
workspace, session_id, result.output
)
tool_projections = ()
break
deferred_results = resolved
message_history = result.all_messages()
prompt_input = None
continue
response_text = _render_output(result.output)
tool_projections = ()
try:
self.store.write_model_messages_json(
workspace,
session_id,
result.all_messages_json(),
)
tool_projections = (
*hook_event_collector.build_projections(),
*build_tool_projections(projection_messages),
)
except Exception as exc:
error_type = type(exc).__name__
response_text = (
f"{response_text}\n\n"
f"[vCode warning] Post-processing failed after model run "
f"({error_type}: {exc})."
)
break
self.store.append_message(workspace, session_id, "user", normalized_prompt)
self.store.append_message(workspace, session_id, "assistant", response_text)
return TurnResult(response_text=response_text, tool_projections=tool_projections)
async def _resolve_deferred_requests(
self,
workspace: Path,
session_id: str,
requests: DeferredToolRequests,
) -> DeferredToolResults | None:
if requests.calls:
return None
results = DeferredToolResults()
unresolved = False
for call in requests.approvals:
request = self._approval_request_from_tool_call(workspace, session_id, call)
if request is None:
continue
decision = await self.approval_policy.resolve(request)
if decision.outcome == "allow":
results.approvals[call.tool_call_id] = True
continue
if decision.outcome == "deny":
results.approvals[call.tool_call_id] = ToolDenied(
message=decision.message or "The tool call was denied."
)
continue
unresolved = True
if unresolved or not results.approvals:
return None
return results
def _approval_request_from_tool_call(
self,
workspace: Path,
session_id: str,
call: ToolCallPart,
) -> ApprovalRequest | None:
if call.tool_name != "write_file":
return None
args = call.args_as_dict()
path_value = args.get("path")
content_value = args.get("content")
if not isinstance(path_value, str) or not isinstance(content_value, str):
return None
target = workspace / path_value
return self.approval_policy.build_write_request(
workspace,
session_id,
target.resolve(),
content_value,
tool_call_id=call.tool_call_id,
)
def _pending_approval_message(
self,
workspace: Path,
session_id: str,
requests: DeferredToolRequests,
) -> str:
lines: list[str] = []
for call in requests.approvals:
request = self._approval_request_from_tool_call(workspace, session_id, call)
if request is None:
continue
decision = self.approval_policy.evaluate(request)
if decision.outcome == "ask" and decision.message is not None:
lines.append(decision.message)
if lines:
return "\n".join(lines)
return "Approval is required before the deferred tool call can continue."