"""SDK-based agent executor for Claude Code runtime. Uses the official `claude-agent-sdk` Python package to invoke the Claude Code engine programmatically — no subprocess, no stdout parsing, no zombie reap. Replaces CLIAgentExecutor for the `claude-code` runtime only. Other CLI runtimes (codex, ollama) keep using `cli_executor.py`. Benefits over CLI subprocess: - No per-message ~500ms startup overhead - No stdout buffering issues - Native Python session management (no JSON parsing of stdout) - Real message stream — can surface tool calls in future for live UX - Cooperative cancel (closes the query async generator on cancel()) - Same Claude Code engine, so plugins / skills / CLAUDE.md still apply Concurrency model ----------------- Turns are serialized per-executor via an asyncio.Lock. The old CLI executor serialized implicitly by spawning one subprocess per message and awaiting it; the SDK removes that, so we re-introduce serialization explicitly. This keeps session_id updates race-free and makes cancel() well-defined (there's at most one active stream at any given moment). """ from __future__ import annotations import asyncio import logging import os import sys from collections.abc import AsyncIterator from dataclasses import dataclass from typing import TYPE_CHECKING, Any import yaml import claude_agent_sdk as sdk from a2a.server.agent_execution import AgentExecutor, RequestContext from a2a.server.events import EventQueue from a2a.utils import new_agent_text_message from executor_helpers import ( CONFIG_MOUNT, MEMORY_CONTENT_MAX_CHARS, WORKSPACE_MOUNT, brief_summary, commit_memory, extract_message_text, get_a2a_instructions, get_mcp_server_path, get_system_prompt, read_delegation_results, recall_memories, sanitize_agent_error, set_current_task, ) if TYPE_CHECKING: from heartbeat import HeartbeatLoop logger = logging.getLogger(__name__) _NO_TEXT_MSG = "Error: message contained no text content." _NO_RESPONSE_MSG = "(no response generated)" _MAX_RETRIES = 3 _BASE_RETRY_DELAY_S = 5 # Cap for stderr captured from the CLI subprocess in the executor log. Keeps # log lines bounded while still surfacing enough context to diagnose crashes. # Fixes #66 (previously the executor logged nothing beyond the generic # "Check stderr output for details" message). _PROCESS_ERROR_STDERR_MAX_CHARS = 4096 # Substrings in error messages that indicate a transient failure worth retrying. _RETRYABLE_PATTERNS = ( "rate", "limit", "429", "overloaded", "capacity", "exit code 1", "try again", ) _SWALLOWED_STDERR_MARKER = "Check stderr output for details" def _probe_claude_cli_error() -> str | None: """Run ``claude --print`` directly and capture its stderr + stdout. Used as a fallback when the claude-agent-sdk raises a bare ``Exception`` with the swallowed "Check stderr output for details" placeholder — that happens when the SDK wraps a stream error from the CLI subprocess and loses both the ``.stderr`` attribute and the exit code. At that point the only way to see the real failure reason (rate limit, auth error, network outage, missing token) is to run the CLI ourselves. Bounded by a 30s timeout so a hung CLI can't stall the error path. Returns None if the probe itself failed (wrong invariant — don't corrupt the main error message with probe noise). """ try: import subprocess # --print reads stdin, prints response, exits. Empty stdin gives the # CLI something to work with without triggering an actual model call # when it's going to fail anyway. proc = subprocess.run( ["claude", "--print"], input="probe", capture_output=True, text=True, timeout=30, ) if proc.returncode == 0: # CLI succeeded — the original error was a transient state that # resolved between the SDK failure and our probe. Signal that. return "" raw = (proc.stderr or "") + (proc.stdout or "") raw = raw.strip() if not raw: return f"" if len(raw) > _PROCESS_ERROR_STDERR_MAX_CHARS: raw = raw[:_PROCESS_ERROR_STDERR_MAX_CHARS] + "... [truncated]" return raw except Exception as probe_exc: # pragma: no cover — best-effort diagnostic return f"" def _format_process_error(exc: BaseException) -> str: """Render a Claude-SDK ProcessError (or any ClaudeSDKError) with its full captured context — exit code, stderr, exception type. Plain strings for non-SDK exceptions fall back to str(exc). Bounded at _PROCESS_ERROR_STDERR_MAX_CHARS so a runaway CLI can't spam the log. Used by the executor's error path (fixes #66 — the SDK's ProcessError carries `.stderr`/`.exit_code` attributes that the previous code silently discarded, leaving every CLI crash with an identical "Check stderr output for details" message in the workspace log). Fixes #160: when the SDK raises a bare ``Exception`` containing the "Check stderr output for details" placeholder (which happens when the CLI subprocess emits a stream error the SDK can't categorize — rate limit, auth, network), there's no ``.stderr``/``.exit_code`` to read. In that case we fall back to running the CLI ourselves via ``_probe_claude_cli_error`` so the operator sees the real failure reason (e.g. ``You've hit your limit · resets Apr 17``) instead of chasing ghosts in the workspace logs. """ parts = [f"{type(exc).__name__}: {exc}"] exit_code = getattr(exc, "exit_code", None) if exit_code is not None: parts.append(f"exit_code={exit_code}") stderr = getattr(exc, "stderr", None) if stderr: trimmed = stderr[:_PROCESS_ERROR_STDERR_MAX_CHARS] if len(stderr) > _PROCESS_ERROR_STDERR_MAX_CHARS: trimmed += f"... [{len(stderr) - _PROCESS_ERROR_STDERR_MAX_CHARS} more chars truncated]" parts.append(f"stderr={trimmed!r}") elif exit_code is None and _SWALLOWED_STDERR_MARKER in str(exc): # #160: generic exception with the swallowed-stderr placeholder. # Probe the CLI directly — this is the only way to surface the real # error when the SDK lost it in translation. probed = _probe_claude_cli_error() if probed: parts.append(f"probed_cli_error={probed!r}") return " | ".join(parts) @dataclass class QueryResult: """Outcome of a single `query()` stream. `text` is the canonical final response; `session_id` is the id the SDK reports in its ResultMessage (used for resume on the next turn). """ text: str session_id: str | None class ClaudeSDKExecutor(AgentExecutor): """Executes agent tasks via the claude-agent-sdk programmatic API.""" def __init__( self, system_prompt: str | None, config_path: str, heartbeat: "HeartbeatLoop | None", model: str = "sonnet", ): self.system_prompt = system_prompt self.config_path = config_path self.heartbeat = heartbeat self.model = model self._session_id: str | None = None self._active_stream: AsyncIterator[Any] | None = None # Serializes concurrent execute() calls on the same executor so # session_id / _active_stream mutations stay race-free. self._run_lock = asyncio.Lock() # ------------------------------------------------------------------ # Prompt + options builders # ------------------------------------------------------------------ def _resolve_cwd(self) -> str: """Run in /workspace if it has been populated, otherwise /configs.""" if os.path.isdir(WORKSPACE_MOUNT) and os.listdir(WORKSPACE_MOUNT): return WORKSPACE_MOUNT return CONFIG_MOUNT def _build_system_prompt(self) -> str | None: """Compose system prompt from file + A2A delegation instructions.""" base = get_system_prompt(self.config_path, fallback=self.system_prompt) a2a = get_a2a_instructions(mcp=True) if base and a2a: return f"{base}\n\n{a2a}" return base or a2a def _prepare_prompt(self, user_input: str) -> str: """Prepend delegation results that arrived while idle.""" delegation_context = read_delegation_results() if delegation_context: return ( "[Delegation results received while you were idle]\n" f"{delegation_context}\n\n[New message]\n{user_input}" ) return user_input async def _inject_memories_if_first_turn(self, prompt: str) -> str: if self._session_id: return prompt memories = await recall_memories() if not memories: return prompt return f"[Prior context from memory]\n{memories}\n\n{prompt}" def _load_config_dict(self) -> dict: """Read config.yaml as a raw dict for field-level inspection. Returns an empty dict on any I/O or parse error so callers can always use ``.get()`` without guards. """ try: config_file = os.path.join(self.config_path, "config.yaml") with open(config_file) as f: return yaml.safe_load(f) or {} except Exception: return {} def _build_options(self) -> Any: """Build ClaudeAgentOptions. No allowed_tools allowlist — bypassPermissions grants full access, matching the old CLI `--dangerously-skip-permissions` so Claude can use every built-in tool (Task, TodoWrite, NotebookEdit, BashOutput/ KillShell, ExitPlanMode, etc.) plus all MCP tools. The MCP server launcher uses `sys.executable` so tests and alternate virtual-env layouts don't depend on a `python3` shim being on PATH. output_config wiring (issue #652) ---------------------------------- Reads ``effort`` and ``task_budget`` from config.yaml and populates ``output_config`` on the SDK options before the API call: - ``effort`` (str): one of low|medium|high|xhigh|max. xhigh is the Opus 4.7 recommended default for long agentic tasks. - ``task_budget`` (int): advisory total-token budget across the full agentic loop. Must be >= 20000 (API minimum) or 0/absent (unset). When set, the ``task-budgets-2026-03-13`` beta header is added so the API accepts the field. """ mcp_servers = { "a2a": { "command": sys.executable, "args": [get_mcp_server_path()], } } create_kwargs: dict = dict( model=self.model, permission_mode="bypassPermissions", cwd=self._resolve_cwd(), mcp_servers=mcp_servers, system_prompt=self._build_system_prompt(), resume=self._session_id, ) # --- output_config: effort + task_budget (issue #652) --- config = self._load_config_dict() output_config: dict = {} effort = config.get("effort", "") task_budget = config.get("task_budget", 0) if effort: output_config["effort"] = effort # "low"|"medium"|"high"|"xhigh"|"max" if task_budget and int(task_budget) >= 20000: output_config["task_budget"] = { "type": "tokens", "total": int(task_budget), } betas = list(create_kwargs.get("betas", [])) if "task-budgets-2026-03-13" not in betas: betas.append("task-budgets-2026-03-13") create_kwargs["betas"] = betas elif task_budget and int(task_budget) > 0: # Below minimum — reject clearly before any API call is made. raise ValueError( f"task_budget must be >= 20000 tokens (got {task_budget})" ) if output_config: create_kwargs["output_config"] = output_config return sdk.ClaudeAgentOptions(**create_kwargs) # ------------------------------------------------------------------ # Query streaming # ------------------------------------------------------------------ async def _run_query(self, prompt: str, options: Any) -> QueryResult: """Drive the SDK query stream and return a QueryResult. Prefers ResultMessage.result (the canonical final text — same field the CLI's --output-format json used) and only falls back to the concatenation of AssistantMessage TextBlocks when result is absent. Otherwise pre-tool reasoning and post-tool summary get double-emitted. Pure: does not mutate executor state other than setting / clearing `self._active_stream` so cancel() can reach in. The caller decides whether to persist the returned session_id. """ assistant_chunks: list[str] = [] result_text: str | None = None session_id: str | None = None self._active_stream = sdk.query(prompt=prompt, options=options) try: async for message in self._active_stream: if isinstance(message, sdk.AssistantMessage): for block in message.content: if isinstance(block, sdk.TextBlock): assistant_chunks.append(block.text) elif isinstance(message, sdk.ResultMessage): sid = getattr(message, "session_id", None) if sid: session_id = sid result_text = getattr(message, "result", None) finally: self._active_stream = None text = result_text if result_text is not None else "".join(assistant_chunks) return QueryResult(text=text, session_id=session_id) # ------------------------------------------------------------------ # AgentExecutor interface # ------------------------------------------------------------------ async def execute(self, context: RequestContext, event_queue: EventQueue): """Run a turn through the Claude Agent SDK and emit the response. Serialized via `self._run_lock` — concurrent A2A messages to the same workspace queue rather than racing on `_session_id` / `_active_stream`. """ user_input = extract_message_text(context.message) if not user_input: await event_queue.enqueue_event(new_agent_text_message(_NO_TEXT_MSG)) return async with self._run_lock: response_text = await self._execute_locked(user_input) # Enqueue outside the lock so the next queued turn can start # preparing its prompt while this turn's response ships. Event # ordering is preserved per-queue by the A2A server, so no races. await event_queue.enqueue_event(new_agent_text_message(response_text)) @staticmethod def _is_retryable(exc: BaseException) -> bool: """Check if an SDK exception looks like a transient rate-limit or capacity error that's worth retrying with backoff.""" msg = str(exc).lower() return any(p in msg for p in _RETRYABLE_PATTERNS) def _reset_session_after_error(self, exc: BaseException) -> None: """Clear `_session_id` if the exception looks like a subprocess crash (#75). On the next `_build_options()` call `resume=None` is passed to the SDK, so the CLI boots a brand-new session instead of trying to resume one the previous subprocess left in an unrecoverable state. Kept in its own method so the policy can evolve (e.g. also clear on MessageParseError) without touching the retry loop. Logs at INFO when a session was actually cleared; silent when there was nothing to reset. """ exc_name = type(exc).__name__ # Conservative: reset only on subprocess-level failures. Pure # rate-limit / capacity errors don't leave the session in a bad # state — keep the session_id so the resumed turn preserves # conversational continuity. is_subprocess_error = ( exc_name in ("ProcessError", "CLIConnectionError") or getattr(exc, "exit_code", None) is not None or "exit code" in str(exc).lower() ) if not is_subprocess_error: return if self._session_id is None: return logger.info( "SDK session reset after %s: clearing session_id so the next " "attempt starts fresh (fixes #75 session contamination)", exc_name, ) self._session_id = None async def _execute_locked(self, user_input: str) -> str: """Body of execute() that runs under the run lock. Retries transient errors (rate limits, capacity, exit-code-1) up to _MAX_RETRIES times with exponential backoff (5s, 10s, 20s). """ # Keep a clean copy of the user's actual message for the memory record, # BEFORE any delegation or memory injection. original_input = user_input await set_current_task(self.heartbeat, brief_summary(user_input)) logger.debug("SDK execute [claude-code]: %s", user_input[:200]) prompt = self._prepare_prompt(user_input) prompt = await self._inject_memories_if_first_turn(prompt) response_text: str = "" try: for attempt in range(_MAX_RETRIES): options = self._build_options() try: result = await self._run_query(prompt=prompt, options=options) if result.session_id: self._session_id = result.session_id response_text = result.text break # success except Exception as exc: formatted = _format_process_error(exc) # #75: CLI subprocess crashes leave our _session_id # referencing a session the next subprocess can't # resume. Without this reset the next attempt would # crash identically even when the underlying cause # was transient, cascading into "crashed once → # crashes forever until container restart." Clear # the session_id so the next attempt (retry or # next user turn) starts fresh. self._reset_session_after_error(exc) if attempt < _MAX_RETRIES - 1 and self._is_retryable(exc): delay = _BASE_RETRY_DELAY_S * (2 ** attempt) logger.warning( "SDK agent [claude-code] transient error (attempt %d/%d), " "retrying in %ds: %s", attempt + 1, _MAX_RETRIES, delay, formatted, ) await asyncio.sleep(delay) continue # Non-retryable or exhausted retries. Log exit_code + # stderr explicitly (fixes #66) so operators don't have # to reproduce the crash manually to find out why the # subprocess died. logger.error("SDK agent error [claude-code]: %s", formatted) logger.exception("SDK agent error [claude-code] — full traceback follows") response_text = sanitize_agent_error(exc) break finally: await set_current_task(self.heartbeat, "") await commit_memory( f"Conversation: {original_input[:MEMORY_CONTENT_MAX_CHARS]}" ) return response_text or _NO_RESPONSE_MSG async def cancel(self, context: RequestContext, event_queue: EventQueue): """Cooperatively cancel the currently running turn. cancel() targets whatever turn is in flight *right now*, not the specific turn the caller may have been looking at when they sent the cancel request. If turn A has finished and turn B is already running under the run lock by the time cancel arrives, turn B is the one that gets aborted. This matches how a "stop" button in a chat UI typically behaves (stop whatever is running) and is a conscious trade-off against per-turn bookkeeping. Implementation: the SDK's query() is an async generator; calling aclose() raises GeneratorExit inside the running turn and unwinds cleanly. We read `self._active_stream` into a local BEFORE calling aclose so the reference can't be reassigned by another turn mid-cancel. Best-effort — if no stream is active (cancel arrived between turns, or the stream has no aclose), this is a no-op. """ stream = self._active_stream if stream is None: return aclose = getattr(stream, "aclose", None) if aclose is None: return try: await aclose() except Exception: logger.exception("SDK cancel: aclose() raised")