feat: msgspec schemas for jsonl decoding (#37)

docs/adding-a-runner.md

@@ -6,7 +6,8 @@ A *runner* is the adapter between an engine-specific CLI (Codex, Claude Code,
 **normalized event model** (`StartedEvent`, `ActionEvent`, `CompletedEvent`).
 
 Takopi is designed so that adding a runner usually means **adding one new module** under
-`src/takopi/runners/`—no changes to the bridge, renderer, or CLI.
+`src/takopi/runners/` plus a small **msgspec schema** module under `src/takopi/schemas/`—
+no changes to the bridge, renderer, or CLI.
 
 The walkthrough below uses an **imaginary engine** named **Pi** (`pi`) and intentionally mirrors
 the patterns used in `runners/claude.py`.
@@ -97,11 +98,15 @@ Why this shape?
 
 ---
 
-### Step 2 — Create `src/takopi/runners/pi.py`
+### Step 2 — Create `src/takopi/schemas/pi.py` + `src/takopi/runners/pi.py`
 
-Create a new module next to the existing runners:
+Create a new schema module and a runner module:
 
 ```
+src/takopi/schemas/
+  codex.py
+  pi.py    # ← new
+
 src/takopi/runners/
   codex.py
   claude.py
@@ -121,9 +126,9 @@ Most CLIs we integrate are JSONL-streaming processes.
 Takopi provides `JsonlSubprocessRunner`, which:
 
 - spawns the CLI
-- drains stderr into a bounded tail
-- reads stdout line-by-line as JSONL
-- calls your `translate(...)` method to convert each JSON object into Takopi events
+- drains stderr and logs it
+- reads stdout line-by-line as JSONL bytes
+- calls your `decode_jsonl(...)` and then `translate(...)` to convert each event into Takopi events
 - guarantees “exactly one CompletedEvent” behavior
 - provides safe fallbacks for rc != 0 or stream ending without a completion event
 
@@ -147,6 +152,55 @@ class PiStreamState:
     note_seq: int = 0
 ```
 
+#### Define a msgspec schema (recommended path)
+
+Codex now decodes JSONL with **msgspec**, and new runners should follow that pattern.
+Create a small schema module under `src/takopi/schemas/` and expose a `decode_event(...)`
+function. Only include the event shapes your CLI actually emits.
+
+Minimal example:
+
+```py
+from __future__ import annotations
+
+from typing import Any, Literal, TypeAlias
+
+import msgspec
+
+
+class SessionStart(msgspec.Struct, tag="session.start", kw_only=True):
+    session_id: str
+    model: str | None = None
+
+
+class ToolUse(msgspec.Struct, tag="tool.use", kw_only=True):
+    id: str
+    name: str
+    input: dict[str, Any] | None = None
+
+
+class ToolResult(msgspec.Struct, tag="tool.result", kw_only=True):
+    tool_use_id: str
+    content: Any
+    is_error: bool | None = None
+
+
+class Final(msgspec.Struct, tag="final", kw_only=True):
+    session_id: str
+    ok: bool
+    answer: str | None = None
+    error: str | None = None
+
+
+PiEvent: TypeAlias = SessionStart | ToolUse | ToolResult | Final
+
+_DECODER = msgspec.json.Decoder(PiEvent)
+
+
+def decode_event(data: bytes | str) -> PiEvent:
+    return _DECODER.decode(data)
+```
+
 #### Decide what Pi emits
 
 For this guide, assume Pi outputs events like:
@@ -323,7 +377,7 @@ import logging
 import re
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any
+from typing import Any, cast
 
 from ..backends import EngineBackend, EngineConfig
 from ..model import (
@@ -333,13 +387,14 @@ from ..model import (
     StartedEvent,
     TakopiEvent,
 )
+import msgspec
+
 from ..runner import JsonlSubprocessRunner, ResumeTokenMixin, Runner
+from ..schemas import pi as pi_schema
 
 logger = logging.getLogger(__name__)
 
 ENGINE: EngineId = EngineId("pi")
-STDERR_TAIL_LINES = 200
-
 _RESUME_RE = re.compile(
     r"(?im)^\s*`?pi\s+--resume\s+(?P<token>[^`\s]+)`?\s*$"
 )
@@ -354,7 +409,6 @@ class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
     model: str | None = None
     allowed_tools: list[str] | None = None
     session_title: str = "pi"
-    stderr_tail_lines = STDERR_TAIL_LINES
     logger = logger
 
     def format_resume(self, token: ResumeToken) -> str:
@@ -398,6 +452,17 @@ class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         _ = prompt, resume
         return PiStreamState()
 
+    def decode_jsonl(
+        self,
+        *,
+        raw: bytes,
+        line: bytes,
+        state: PiStreamState,
+    ) -> dict[str, Any] | None:
+        _ = raw, state
+        event = pi_schema.decode_event(line)
+        return cast(dict[str, Any], msgspec.to_builtins(event))
+
     def translate(
         self,
         data: dict[str, Any],
@@ -423,7 +488,8 @@ Depending on how robust you want the integration, consider adding:
 - `env(...)`: to strip or inject environment variables (Claude strips `ANTHROPIC_API_KEY`
   unless configured to use API billing).
 - `invalid_json_events(...)`: emit a helpful warning `ActionEvent` on malformed JSONL.
-- `process_error_events(...)`: customize rc != 0 behavior (include stderr tail in detail).
+- `decode_error_events(...)`: log + drop `msgspec.DecodeError` if the engine emits garbage.
+- `process_error_events(...)`: customize rc != 0 behavior.
 - `stream_end_events(...)`: handle “process exited cleanly but never emitted a final event”.
 
 Claude uses these to produce better failures instead of silent hangs.
@@ -503,6 +569,10 @@ Then assert:
 - the last event is a `CompletedEvent`
 - completed.resume matches started.resume
 
+If you use msgspec, also add a tiny schema sanity test (pattern from
+`tests/test_codex_schema.py`) that decodes your fixture with
+`takopi.schemas.<engine>.decode_event`.
+
 #### 3) Lock/serialization tests (optional, but great)
 
 Claude has async tests proving that:
@@ -554,4 +624,3 @@ Before you call the runner “done”:
 - [ ] rc != 0 produces a failure `CompletedEvent` (via `process_error_events`).
 - [ ] “no final event” produces a failure `CompletedEvent` (via `stream_end_events`).
 - [ ] Tests cover resume parsing + at least one translation fixture.
-

pyproject.toml

@@ -10,6 +10,7 @@ dependencies = [
   "anyio>=4.12.0",
   "httpx>=0.28.1",
   "markdown-it-py",
+  "msgspec>=0.20.0",
   "questionary>=2.1.1",
   "rich>=14.2.0",
   "sulguk>=0.11.1",

src/takopi/events.py

@@ -0,0 +1,170 @@
+"""Event factory helpers for runner implementations."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from .model import (
+    Action,
+    ActionEvent,
+    ActionKind,
+    ActionLevel,
+    ActionPhase,
+    CompletedEvent,
+    EngineId,
+    ResumeToken,
+    StartedEvent,
+)
+
+
+class EventFactory:
+    __slots__ = ("engine", "_resume")
+
+    def __init__(self, engine: EngineId) -> None:
+        self.engine = engine
+        self._resume: ResumeToken | None = None
+
+    @property
+    def resume(self) -> ResumeToken | None:
+        return self._resume
+
+    def started(
+        self,
+        token: ResumeToken,
+        *,
+        title: str | None = None,
+        meta: dict[str, Any] | None = None,
+    ) -> StartedEvent:
+        if token.engine != self.engine:
+            raise RuntimeError(f"resume token is for engine {token.engine!r}")
+        if self._resume is not None and self._resume != token:
+            raise RuntimeError(
+                f"resume token mismatch: {self._resume.value} vs {token.value}"
+            )
+        self._resume = token
+        return StartedEvent(engine=self.engine, resume=token, title=title, meta=meta)
+
+    def action(
+        self,
+        *,
+        phase: ActionPhase,
+        action_id: str,
+        kind: ActionKind,
+        title: str,
+        detail: dict[str, Any] | None = None,
+        ok: bool | None = None,
+        message: str | None = None,
+        level: ActionLevel | None = None,
+    ) -> ActionEvent:
+        action = Action(
+            id=action_id,
+            kind=kind,
+            title=title,
+            detail=detail or {},
+        )
+        return ActionEvent(
+            engine=self.engine,
+            action=action,
+            phase=phase,
+            ok=ok,
+            message=message,
+            level=level,
+        )
+
+    def action_started(
+        self,
+        *,
+        action_id: str,
+        kind: ActionKind,
+        title: str,
+        detail: dict[str, Any] | None = None,
+    ) -> ActionEvent:
+        return self.action(
+            phase="started",
+            action_id=action_id,
+            kind=kind,
+            title=title,
+            detail=detail,
+        )
+
+    def action_updated(
+        self,
+        *,
+        action_id: str,
+        kind: ActionKind,
+        title: str,
+        detail: dict[str, Any] | None = None,
+    ) -> ActionEvent:
+        return self.action(
+            phase="updated",
+            action_id=action_id,
+            kind=kind,
+            title=title,
+            detail=detail,
+        )
+
+    def action_completed(
+        self,
+        *,
+        action_id: str,
+        kind: ActionKind,
+        title: str,
+        ok: bool,
+        detail: dict[str, Any] | None = None,
+        message: str | None = None,
+        level: ActionLevel | None = None,
+    ) -> ActionEvent:
+        return self.action(
+            phase="completed",
+            action_id=action_id,
+            kind=kind,
+            title=title,
+            detail=detail,
+            ok=ok,
+            message=message,
+            level=level,
+        )
+
+    def completed(
+        self,
+        *,
+        ok: bool,
+        answer: str,
+        resume: ResumeToken | None = None,
+        error: str | None = None,
+        usage: dict[str, Any] | None = None,
+    ) -> CompletedEvent:
+        resolved_resume = resume if resume is not None else self._resume
+        return CompletedEvent(
+            engine=self.engine,
+            ok=ok,
+            answer=answer,
+            resume=resolved_resume,
+            error=error,
+            usage=usage,
+        )
+
+    def completed_ok(
+        self,
+        *,
+        answer: str,
+        resume: ResumeToken | None = None,
+        usage: dict[str, Any] | None = None,
+    ) -> CompletedEvent:
+        return self.completed(ok=True, answer=answer, resume=resume, usage=usage)
+
+    def completed_error(
+        self,
+        *,
+        error: str,
+        answer: str = "",
+        resume: ResumeToken | None = None,
+        usage: dict[str, Any] | None = None,
+    ) -> CompletedEvent:
+        return self.completed(
+            ok=False,
+            answer=answer,
+            resume=resume,
+            error=error,
+            usage=usage,
+        )

src/takopi/logging.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import errno
 import logging
 import re
 import sys
@@ -23,6 +24,24 @@ class RedactTokenFilter(logging.Filter):
         return True
 
 
+class SafeStreamHandler(logging.StreamHandler):
+    def handleError(self, record: logging.LogRecord) -> None:
+        exc = sys.exc_info()[1]
+        if isinstance(exc, BrokenPipeError):
+            try:
+                self.stream.close()
+            except Exception:
+                pass
+            return
+        if isinstance(exc, OSError) and exc.errno == errno.EPIPE:
+            try:
+                self.stream.close()
+            except Exception:
+                pass
+            return
+        super().handleError(record)
+
+
 def setup_logging(*, debug: bool = False) -> None:
     root_logger = logging.getLogger()
     root_logger.setLevel(logging.DEBUG if debug else logging.INFO)
@@ -35,7 +54,7 @@ def setup_logging(*, debug: bool = False) -> None:
     fmt = logging.Formatter("%(asctime)s %(levelname)s %(name)s: %(message)s")
     redactor = RedactTokenFilter()
 
-    console = logging.StreamHandler(sys.stdout)
+    console = SafeStreamHandler(sys.stdout)
     console.setLevel(logging.DEBUG if debug else logging.INFO)
     console.setFormatter(fmt)
     console.addFilter(redactor)

src/takopi/model.py

@@ -12,6 +12,7 @@ ActionKind: TypeAlias = Literal[
     "tool",
     "file_change",
     "web_search",
+    "subagent",
     "note",
     "turn",
     "warning",

src/takopi/render.py

@@ -162,6 +162,9 @@ def format_action_title(action: Action, *, command_width: int | None) -> str:
     if kind == "web_search":
         title = shorten(title, command_width)
         return f"searched: {title}"
+    if kind == "subagent":
+        title = shorten(title, command_width)
+        return f"subagent: {title}"
     if kind == "file_change":
         return format_file_change_title(action, command_width=command_width)
     if kind in {"note", "warning"}:

src/takopi/runner.py

@@ -2,13 +2,13 @@
 
 from __future__ import annotations
 
+import json
 import logging
 import re
 import subprocess
-from collections import deque
 from collections.abc import AsyncIterator, Callable
 from dataclasses import dataclass
-from typing import Any, Protocol
+from typing import Any, Protocol, cast
 from weakref import WeakValueDictionary
 
 import anyio
@@ -22,7 +22,7 @@ from .model import (
     StartedEvent,
     TakopiEvent,
 )
-from .utils.streams import drain_stderr, iter_jsonl
+from .utils.streams import drain_stderr, iter_bytes_lines
 from .utils.subprocess import manage_subprocess
 
 
@@ -131,8 +131,6 @@ class JsonlRunState:
 
 
 class JsonlSubprocessRunner(BaseRunner):
-    stderr_tail_lines: int = 200
-
     def get_logger(self) -> logging.Logger:
         return getattr(self, "logger", logging.getLogger(__name__))
 
@@ -222,19 +220,66 @@ class JsonlSubprocessRunner(BaseRunner):
         message = f"invalid JSON from {self.tag()}; ignoring line"
         return [self.note_event(message, state=state, detail={"line": line})]
 
+    def decode_jsonl(self, *, line: bytes) -> Any | None:
+        text = line.decode("utf-8", errors="replace")
+        try:
+            return cast(dict[str, Any], json.loads(text))
+        except json.JSONDecodeError:
+            return None
+
+    async def iter_json_lines(
+        self,
+        stream: Any,
+        *,
+        logger: logging.Logger,
+        tag: str,
+    ) -> AsyncIterator[bytes]:
+        async for raw_line in iter_bytes_lines(stream):
+            raw = raw_line.rstrip(b"\n")
+            text = raw.decode("utf-8", errors="replace")
+            logger.debug("[%s][jsonl] %s", tag, text)
+            yield raw
+
+    def decode_error_events(
+        self,
+        *,
+        raw: str,
+        line: str,
+        error: Exception,
+        state: Any,
+    ) -> list[TakopiEvent]:
+        message = f"invalid event from {self.tag()}; ignoring line"
+        detail = {"line": line, "error": str(error)}
+        return [self.note_event(message, state=state, detail=detail)]
+
+    def translate_error_events(
+        self,
+        *,
+        data: Any,
+        error: Exception,
+        state: Any,
+    ) -> list[TakopiEvent]:
+        message = f"{self.tag()} translation error; ignoring event"
+        detail: dict[str, Any] = {"error": str(error)}
+        if isinstance(data, dict):
+            detail["type"] = data.get("type")
+            item = data.get("item")
+            if isinstance(item, dict):
+                detail["item_type"] = item.get("type") or item.get("item_type")
+        return [self.note_event(message, state=state, detail=detail)]
+
     def process_error_events(
         self,
         rc: int,
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: Any,
     ) -> list[TakopiEvent]:
         message = f"{self.tag()} failed (rc={rc})."
         resume_for_completed = found_session or resume
         return [
-            self.note_event(message, state=state, detail={"stderr_tail": stderr_tail}),
+            self.note_event(message, state=state),
             CompletedEvent(
                 engine=self.engine,
                 ok=False,
@@ -249,7 +294,6 @@ class JsonlSubprocessRunner(BaseRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: Any,
     ) -> list[TakopiEvent]:
         message = f"{self.tag()} finished without a result event"
@@ -266,7 +310,7 @@ class JsonlSubprocessRunner(BaseRunner):
 
     def translate(
         self,
-        data: dict[str, Any],
+        data: Any,
         *,
         state: Any,
         resume: ResumeToken | None,
@@ -334,7 +378,6 @@ class JsonlSubprocessRunner(BaseRunner):
             elif proc.stdin is not None:
                 await proc.stdin.aclose()
 
-            stderr_chunks: deque[str] = deque(maxlen=self.stderr_tail_lines)
             rc: int | None = None
             expected_session: ResumeToken | None = resume
             found_session: ResumeToken | None = None
@@ -344,26 +387,49 @@ class JsonlSubprocessRunner(BaseRunner):
                 tg.start_soon(
                     drain_stderr,
                     proc.stderr,
-                    stderr_chunks,
                     logger,
                     tag,
                 )
-                async for json_line in iter_jsonl(proc.stdout, logger=logger, tag=tag):
+                async for raw_line in self.iter_json_lines(
+                    proc.stdout, logger=logger, tag=tag
+                ):
                     if did_emit_completed:
                         continue
-                    if json_line.data is None:
-                        events = self.invalid_json_events(
-                            raw=json_line.raw,
-                            line=json_line.line,
+                    line = raw_line.strip()
+                    if not line:
+                        continue
+                    raw_text = raw_line.decode("utf-8", errors="replace")
+                    line_text = line.decode("utf-8", errors="replace")
+                    try:
+                        decoded = self.decode_jsonl(line=line)
+                    except Exception as exc:
+                        events = self.decode_error_events(
+                            raw=raw_text,
+                            line=line_text,
+                            error=exc,
                             state=state,
                         )
                     else:
+                        if decoded is None:
+                            events = self.invalid_json_events(
+                                raw=raw_text,
+                                line=line_text,
+                                state=state,
+                            )
+                        else:
+                            try:
                                 events = self.translate(
-                            json_line.data,
+                                    decoded,
                                     state=state,
                                     resume=resume,
                                     found_session=found_session,
                                 )
+                            except Exception as exc:
+                                events = self.translate_error_events(
+                                    data=decoded,
+                                    error=exc,
+                                    state=state,
+                                )
 
                     for evt in events:
                         if isinstance(evt, StartedEvent):
@@ -385,13 +451,11 @@ class JsonlSubprocessRunner(BaseRunner):
             logger.debug("[%s] process exit pid=%s rc=%s", tag, proc.pid, rc)
             if did_emit_completed:
                 return
-            stderr_tail = "".join(stderr_chunks)
             if rc is not None and rc != 0:
                 events = self.process_error_events(
                     rc,
                     resume=resume,
                     found_session=found_session,
-                    stderr_tail=stderr_tail,
                     state=state,
                 )
                 for evt in events:
@@ -401,7 +465,6 @@ class JsonlSubprocessRunner(BaseRunner):
             events = self.stream_end_events(
                 resume=resume,
                 found_session=found_session,
-                stderr_tail=stderr_tail,
                 state=state,
             )
             for evt in events:

src/takopi/runners/claude.py

@@ -5,26 +5,20 @@ import os
 import re
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Any, Literal
+from typing import Any
+
+import msgspec
 
 from ..backends import EngineBackend, EngineConfig
-from ..model import (
-    Action,
-    ActionEvent,
-    ActionKind,
-    CompletedEvent,
-    EngineId,
-    ResumeToken,
-    StartedEvent,
-    TakopiEvent,
-)
+from ..events import EventFactory
+from ..model import Action, ActionKind, EngineId, ResumeToken, TakopiEvent
 from ..runner import JsonlSubprocessRunner, ResumeTokenMixin, Runner
+from ..schemas import claude as claude_schema
 from ..utils.paths import relativize_command, relativize_path
 
 logger = logging.getLogger(__name__)
 
 ENGINE: EngineId = EngineId("claude")
-STDERR_TAIL_LINES = 200
 DEFAULT_ALLOWED_TOOLS = ["Bash", "Read", "Edit", "Write"]
 
 _RESUME_RE = re.compile(
@@ -34,45 +28,31 @@ _RESUME_RE = re.compile(
 
 @dataclass(slots=True)
 class ClaudeStreamState:
+    factory: EventFactory = field(default_factory=lambda: EventFactory(ENGINE))
     pending_actions: dict[str, Action] = field(default_factory=dict)
     last_assistant_text: str | None = None
     note_seq: int = 0
 
 
-def _action_event(
-    *,
-    phase: Literal["started", "updated", "completed"],
-    action: Action,
-    ok: bool | None = None,
-    message: str | None = None,
-    level: Literal["debug", "info", "warning", "error"] | None = None,
-) -> ActionEvent:
-    return ActionEvent(
-        engine=ENGINE,
-        action=action,
-        phase=phase,
-        ok=ok,
-        message=message,
-        level=level,
-    )
-
-
 def _normalize_tool_result(content: Any) -> str:
-    if isinstance(content, list):
-        parts: list[str] = []
-        for item in content:
-            if isinstance(item, dict):
-                if item.get("type") == "text" and isinstance(item.get("text"), str):
-                    parts.append(item["text"])
-                elif isinstance(item.get("text"), str):
-                    parts.append(item["text"])
-            elif isinstance(item, str):
-                parts.append(item)
-        return "\n".join(part for part in parts if part)
     if content is None:
         return ""
     if isinstance(content, str):
         return content
+    if isinstance(content, list):
+        parts: list[str] = []
+        for item in content:
+            if isinstance(item, dict):
+                text = item.get("text")
+                if isinstance(text, str) and text:
+                    parts.append(text)
+            elif isinstance(item, str):
+                parts.append(item)
+        return "\n".join(part for part in parts if part)
+    if isinstance(content, dict):
+        text = content.get("text")
+        if isinstance(text, str):
+            return text
     return str(content)
 
 
@@ -134,19 +114,18 @@ def _tool_kind_and_title(
         return "note", "ask user"
     if name in {"Task", "Agent"}:
         desc = tool_input.get("description") or tool_input.get("prompt")
-        return "tool", str(desc or name)
+        return "subagent", str(desc or name)
     return "tool", name
 
 
 def _tool_action(
-    content: dict[str, Any],
+    content: claude_schema.StreamToolUseBlock,
     *,
-    message_id: str | None,
     parent_tool_use_id: str | None,
 ) -> Action:
-    tool_id = content["id"]
-    tool_name = str(content.get("name") or "tool")
-    tool_input = content["input"]
+    tool_id = content.id
+    tool_name = str(content.name or "tool")
+    tool_input = content.input
 
     kind, title = _tool_kind_and_title(tool_name, tool_input)
 
@@ -154,8 +133,6 @@ def _tool_action(
         "name": tool_name,
         "input": tool_input,
     }
-    if message_id:
-        detail["message_id"] = message_id
     if parent_tool_use_id:
         detail["parent_tool_use_id"] = parent_tool_use_id
 
@@ -168,59 +145,46 @@ def _tool_action(
 
 
 def _tool_result_event(
-    content: dict[str, Any],
+    content: claude_schema.StreamToolResultBlock,
     *,
     action: Action,
-    message_id: str | None,
-) -> ActionEvent:
-    is_error = content.get("is_error") is True
-    raw_result = content.get("content")
+    factory: EventFactory,
+) -> TakopiEvent:
+    is_error = content.is_error is True
+    raw_result = content.content
     normalized = _normalize_tool_result(raw_result)
     preview = normalized
 
     detail = dict(action.detail)
     detail.update(
         {
-            "tool_use_id": content.get("tool_use_id"),
+            "tool_use_id": content.tool_use_id,
             "result_preview": preview,
             "result_len": len(normalized),
             "is_error": is_error,
         }
     )
-    if message_id:
-        detail["message_id"] = message_id
-
-    return _action_event(
-        phase="completed",
-        action=Action(
-            id=action.id,
+    return factory.action_completed(
+        action_id=action.id,
         kind=action.kind,
         title=action.title,
-            detail=detail,
-        ),
         ok=not is_error,
+        detail=detail,
     )
 
 
-def _extract_error(event: dict[str, Any]) -> str | None:
-    error = event.get("error")
-    if isinstance(error, str) and error:
-        return error
-    errors = event.get("errors")
-    if isinstance(errors, list):
-        for item in errors:
-            if isinstance(item, dict):
-                message = item.get("message") or item.get("error")
-                if isinstance(message, str) and message:
-                    return message
-            elif isinstance(item, str) and item:
-                return item
-    if event.get("is_error"):
+def _extract_error(event: claude_schema.StreamResultMessage) -> str | None:
+    if event.is_error:
+        if isinstance(event.result, str) and event.result:
+            return event.result
+        subtype = event.subtype
+        if subtype:
+            return f"claude run failed ({subtype})"
         return "claude run failed"
     return None
 
 
-def _usage_payload(event: dict[str, Any]) -> dict[str, Any]:
+def _usage_payload(event: claude_schema.StreamResultMessage) -> dict[str, Any]:
     usage: dict[str, Any] = {}
     for key in (
         "total_cost_usd",
@@ -228,28 +192,28 @@ def _usage_payload(event: dict[str, Any]) -> dict[str, Any]:
         "duration_api_ms",
         "num_turns",
     ):
-        value = event.get(key)
-        if value is not None:
-            usage[key] = value
-    for key in ("usage", "modelUsage"):
-        value = event.get(key)
+        value = getattr(event, key, None)
         if value is not None:
             usage[key] = value
+    if event.usage is not None:
+        usage["usage"] = event.usage
     return usage
 
 
 def translate_claude_event(
-    event: dict[str, Any],
+    event: claude_schema.StreamJsonMessage,
     *,
     title: str,
     state: ClaudeStreamState,
+    factory: EventFactory,
 ) -> list[TakopiEvent]:
-    etype = event["type"]
-    match etype:
-        case "system" if event.get("subtype") == "init":
-            session_id = event["session_id"]
-            model = event.get("model")
-            event_title = str(model) if model else title
+    match event:
+        case claude_schema.StreamSystemMessage(subtype=subtype):
+            if subtype != "init":
+                return []
+            session_id = event.session_id
+            if not session_id:
+                return []
             meta: dict[str, Any] = {}
             for key in (
                 "cwd",
@@ -257,52 +221,70 @@ def translate_claude_event(
                 "permissionMode",
                 "output_style",
                 "apiKeySource",
+                "mcp_servers",
+            ):
+                value = getattr(event, key, None)
+                if value is not None:
+                    meta[key] = value
+            model = event.model
+            token = ResumeToken(engine=ENGINE, value=session_id)
+            event_title = str(model) if isinstance(model, str) and model else title
+            return [factory.started(token, title=event_title, meta=meta or None)]
+        case claude_schema.StreamAssistantMessage(
+            message=message, parent_tool_use_id=parent_tool_use_id
         ):
-                if key in event:
-                    meta[key] = event.get(key)
-            if "mcp_servers" in event:
-                meta["mcp_servers"] = event.get("mcp_servers")
-
-            return [
-                StartedEvent(
-                    engine=ENGINE,
-                    resume=ResumeToken(engine=ENGINE, value=str(session_id)),
-                    title=event_title,
-                    meta=meta or None,
-                )
-            ]
-        case "assistant":
-            message = event["message"]
-            message_id = message.get("id")
-            parent_tool_use_id = event.get("parent_tool_use_id")
-            content_blocks = message["content"]
             out: list[TakopiEvent] = []
-            for content in content_blocks:
-                match content["type"]:
-                    case "tool_use":
+            for content in message.content:
+                match content:
+                    case claude_schema.StreamToolUseBlock():
                         action = _tool_action(
                             content,
-                            message_id=message_id,
                             parent_tool_use_id=parent_tool_use_id,
                         )
                         state.pending_actions[action.id] = action
-                        out.append(_action_event(phase="started", action=action))
-                    case "text":
-                        text = content["text"]
+                        out.append(
+                            factory.action_started(
+                                action_id=action.id,
+                                kind=action.kind,
+                                title=action.title,
+                                detail=action.detail,
+                            )
+                        )
+                    case claude_schema.StreamThinkingBlock(
+                        thinking=thinking, signature=signature
+                    ):
+                        if not thinking:
+                            continue
+                        state.note_seq += 1
+                        action_id = f"claude.thinking.{state.note_seq}"
+                        detail: dict[str, Any] = {}
+                        if parent_tool_use_id:
+                            detail["parent_tool_use_id"] = parent_tool_use_id
+                        if signature:
+                            detail["signature"] = signature
+                        out.append(
+                            factory.action_completed(
+                                action_id=action_id,
+                                kind="note",
+                                title=thinking,
+                                ok=True,
+                                detail=detail,
+                            )
+                        )
+                    case claude_schema.StreamTextBlock(text=text):
                         if text:
                             state.last_assistant_text = text
                     case _:
                         continue
             return out
-        case "user":
-            message = event["message"]
-            message_id = message.get("id")
-            content_blocks = message["content"]
+        case claude_schema.StreamUserMessage(message=message):
+            if not isinstance(message.content, list):
+                return []
             out: list[TakopiEvent] = []
-            for content in content_blocks:
-                if content["type"] != "tool_result":
+            for content in message.content:
+                if not isinstance(content, claude_schema.StreamToolResultBlock):
                     continue
-                tool_use_id = content["tool_use_id"]
+                tool_use_id = content.tool_use_id
                 action = state.pending_actions.pop(tool_use_id, None)
                 if action is None:
                     action = Action(
@@ -312,56 +294,32 @@ def translate_claude_event(
                         detail={},
                     )
                 out.append(
-                    _tool_result_event(content, action=action, message_id=message_id)
+                    _tool_result_event(
+                        content,
+                        action=action,
+                        factory=factory,
+                    )
                 )
             return out
-        case "result":
-            out: list[TakopiEvent] = []
-            for idx, denial in enumerate(event.get("permission_denials", [])):
-                tool_name = denial.get("tool_name")
-                denial_title = "permission denied"
-                if tool_name:
-                    denial_title = f"permission denied: {tool_name}"
-                tool_use_id = denial.get("tool_use_id")
-                action_id = (
-                    f"claude.permission.{tool_use_id}"
-                    if tool_use_id
-                    else f"claude.permission.{idx}"
-                )
-                out.append(
-                    _action_event(
-                        phase="completed",
-                        action=Action(
-                            id=action_id,
-                            kind="warning",
-                            title=denial_title,
-                            detail=denial,
-                        ),
-                        ok=False,
-                        level="warning",
-                    )
-                )
-
-            ok = not event.get("is_error", False)
-            result_text = event["result"]
+        case claude_schema.StreamResultMessage():
+            ok = not event.is_error
+            result_text = event.result or ""
             if ok and not result_text and state.last_assistant_text:
                 result_text = state.last_assistant_text
 
-            resume = ResumeToken(engine=ENGINE, value=str(event["session_id"]))
+            resume = ResumeToken(engine=ENGINE, value=event.session_id)
             error = None if ok else _extract_error(event)
             usage = _usage_payload(event)
 
-            out.append(
-                CompletedEvent(
-                    engine=ENGINE,
+            return [
+                factory.completed(
                     ok=ok,
                     answer=result_text,
                     resume=resume,
                     error=error,
                     usage=usage or None,
                 )
-            )
-            return out
+            ]
         case _:
             return []
 
@@ -377,7 +335,6 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
     dangerously_skip_permissions: bool = False
     use_api_billing: bool = False
     session_title: str = "claude"
-    stderr_tail_lines = STDERR_TAIL_LINES
     logger = logger
 
     def format_resume(self, token: ResumeToken) -> str:
@@ -449,6 +406,34 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         )
         logger.debug("[claude] prompt: %s", prompt)
 
+    def decode_jsonl(
+        self,
+        *,
+        line: bytes,
+    ) -> claude_schema.StreamJsonMessage:
+        return claude_schema.decode_stream_json_line(line)
+
+    def decode_error_events(
+        self,
+        *,
+        raw: str,
+        line: str,
+        error: Exception,
+        state: ClaudeStreamState,
+    ) -> list[TakopiEvent]:
+        _ = raw, line, state
+        if isinstance(error, msgspec.DecodeError):
+            self.get_logger().warning(
+                "[%s] invalid msgspec event: %s", self.tag(), error
+            )
+            return []
+        return super().decode_error_events(
+            raw=raw,
+            line=line,
+            error=error,
+            state=state,
+        )
+
     def invalid_json_events(
         self,
         *,
@@ -456,13 +441,12 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         line: str,
         state: ClaudeStreamState,
     ) -> list[TakopiEvent]:
-        _ = line
-        message = "invalid JSON from claude; ignoring line"
-        return [self.note_event(message, state=state, detail={"line": raw})]
+        _ = raw, line, state
+        return []
 
     def translate(
         self,
-        data: dict[str, Any],
+        data: claude_schema.StreamJsonMessage,
         *,
         state: ClaudeStreamState,
         resume: ResumeToken | None,
@@ -473,6 +457,7 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
             data,
             title=self.session_title,
             state=state,
+            factory=state.factory,
         )
 
     def process_error_events(
@@ -481,24 +466,15 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: ClaudeStreamState,
     ) -> list[TakopiEvent]:
         message = f"claude failed (rc={rc})."
         resume_for_completed = found_session or resume
         return [
-            self.note_event(
-                message,
-                state=state,
-                ok=False,
-                detail={"stderr_tail": stderr_tail},
-            ),
-            CompletedEvent(
-                engine=ENGINE,
-                ok=False,
-                answer="",
-                resume=resume_for_completed,
+            self.note_event(message, state=state, ok=False),
+            state.factory.completed_error(
                 error=message,
+                resume=resume_for_completed,
             ),
         ]
 
@@ -507,31 +483,24 @@ class ClaudeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: ClaudeStreamState,
     ) -> list[TakopiEvent]:
-        _ = stderr_tail
         if not found_session:
             message = "claude finished but no session_id was captured"
             resume_for_completed = resume
             return [
-                CompletedEvent(
-                    engine=ENGINE,
-                    ok=False,
-                    answer="",
-                    resume=resume_for_completed,
+                state.factory.completed_error(
                     error=message,
+                    resume=resume_for_completed,
                 )
             ]
 
         message = "claude finished without a result event"
         return [
-            CompletedEvent(
-                engine=ENGINE,
-                ok=False,
+            state.factory.completed_error(
+                error=message,
                 answer=state.last_assistant_text or "",
                 resume=found_session,
-                error=message,
             )
         ]
 

src/takopi/runners/codex.py

@@ -4,66 +4,29 @@ import logging
 import re
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, cast
+from typing import Any
+
+import msgspec
 
 from ..backends import EngineBackend, EngineConfig
 from ..config import ConfigError
-from ..model import (
-    Action,
-    ActionEvent,
-    ActionKind,
-    ActionLevel,
-    ActionPhase,
-    CompletedEvent,
-    EngineId,
-    ResumeToken,
-    StartedEvent,
-    TakopiEvent,
-)
+from ..events import EventFactory
+from ..model import ActionPhase, EngineId, ResumeToken, TakopiEvent
 from ..runner import JsonlSubprocessRunner, ResumeTokenMixin, Runner
+from ..schemas import codex as codex_schema
 from ..utils.paths import relativize_command
 
 logger = logging.getLogger(__name__)
 
 ENGINE: EngineId = EngineId("codex")
-STDERR_TAIL_LINES = 200
-
-_ACTION_KIND_MAP: dict[str, ActionKind] = {
-    "command_execution": "command",
-    "mcp_tool_call": "tool",
-    "tool_call": "tool",
-    "web_search": "web_search",
-    "file_change": "file_change",
-    "reasoning": "note",
-    "todo_list": "note",
-}
 
 _RESUME_RE = re.compile(r"(?im)^\s*`?codex\s+resume\s+(?P<token>[^`\s]+)`?\s*$")
-_ANSI_ESCAPE_RE = re.compile(r"\x1b\[[0-9;]*[A-Za-z]")
-_TRUSTED_DIR_RE = re.compile(r"not inside a trusted directory", re.IGNORECASE)
 _RECONNECTING_RE = re.compile(
     r"^Reconnecting\.{3}\s*(?P<attempt>\d+)/(?P<max>\d+)\s*$",
     re.IGNORECASE,
 )
 
 
-def _strip_ansi(text: str) -> str:
-    return _ANSI_ESCAPE_RE.sub("", text)
-
-
-def _extract_stderr_reason(stderr_tail: str) -> str | None:
-    if not stderr_tail:
-        return None
-    cleaned = _strip_ansi(stderr_tail)
-    lines = [line.strip() for line in cleaned.splitlines() if line.strip()]
-    if not lines:
-        return None
-    for line in lines:
-        if _TRUSTED_DIR_RE.search(line):
-            return line
-    return lines[-1]
-
-
 def _parse_reconnect_message(message: str) -> tuple[int, int] | None:
     match = _RECONNECTING_RE.match(message)
     if not match:
@@ -76,64 +39,24 @@ def _parse_reconnect_message(message: str) -> tuple[int, int] | None:
     return (attempt, max_attempts)
 
 
-def _started_event(token: ResumeToken, *, title: str) -> StartedEvent:
-    return StartedEvent(engine=token.engine, resume=token, title=title)
-
-
-def _completed_event(
-    *,
-    resume: ResumeToken | None,
-    ok: bool,
-    answer: str,
-    error: str | None = None,
-    usage: dict[str, Any] | None = None,
-) -> TakopiEvent:
-    return CompletedEvent(
-        engine=ENGINE,
-        ok=ok,
-        answer=answer,
-        resume=resume,
-        error=error,
-        usage=usage,
-    )
-
-
-def _action_event(
-    *,
-    phase: ActionPhase,
-    action_id: str,
-    kind: ActionKind,
-    title: str,
-    detail: dict[str, Any] | None = None,
-    ok: bool | None = None,
-    message: str | None = None,
-    level: ActionLevel | None = None,
-) -> TakopiEvent:
-    action = Action(
-        id=action_id,
-        kind=kind,
-        title=title,
-        detail=detail or {},
-    )
-    return ActionEvent(
-        engine=ENGINE,
-        action=action,
-        phase=phase,
-        ok=ok,
-        message=message,
-        level=level,
-    )
-
-
-def _short_tool_name(item: dict[str, Any]) -> str:
-    name = ".".join(part for part in (item.get("server"), item.get("tool")) if part)
+def _short_tool_name(server: str | None, tool: str | None) -> str:
+    name = ".".join(part for part in (server, tool) if part)
     return name or "tool"
 
 
 def _summarize_tool_result(result: Any) -> dict[str, Any] | None:
-    if not isinstance(result, dict):
-        return None
+    if isinstance(result, codex_schema.McpToolCallItemResult):
         summary: dict[str, Any] = {}
+        content = result.content
+        if isinstance(content, list):
+            summary["content_blocks"] = len(content)
+        elif content is not None:
+            summary["content_blocks"] = 1
+        summary["has_structured"] = result.structured_content is not None
+        return summary or None
+
+    if isinstance(result, dict):
+        summary = {}
         content = result.get("content")
         if isinstance(content, list):
             summary["content_blocks"] = len(content)
@@ -150,10 +73,20 @@ def _summarize_tool_result(result: Any) -> dict[str, Any] | None:
             summary["has_structured"] = result.get(structured_key) is not None
         return summary or None
 
+    return None
 
-def _format_change_summary(item: dict[str, Any]) -> str:
-    changes = item.get("changes") or []
-    paths = [c.get("path") for c in changes if c.get("path")]
+
+def _format_change_summary(changes: list[Any]) -> str:
+    paths: list[str] = []
+    for change in changes:
+        if isinstance(change, codex_schema.FileUpdateChange):
+            if change.path:
+                paths.append(change.path)
+            continue
+        if isinstance(change, dict):
+            path = change.get("path")
+            if isinstance(path, str) and path:
+                paths.append(path)
     if not paths:
         total = len(changes)
         if total <= 0:
@@ -178,6 +111,14 @@ def _summarize_todo_list(items: Any) -> _TodoSummary:
     next_text: str | None = None
 
     for raw_item in items:
+        if isinstance(raw_item, codex_schema.TodoItem):
+            total += 1
+            if raw_item.completed:
+                done += 1
+                continue
+            if next_text is None:
+                next_text = raw_item.text
+            continue
         if not isinstance(raw_item, dict):
             continue
         total += 1
@@ -200,25 +141,17 @@ def _todo_title(summary: _TodoSummary) -> str:
     return f"todo {summary.done}/{summary.total}: done"
 
 
-def _translate_item_event(etype: str, item: dict[str, Any]) -> list[TakopiEvent]:
-    item_type = cast(str, item.get("type") or item.get("item_type"))
-    if item_type == "assistant_message":
-        item_type = "agent_message"
-
-    if item_type == "agent_message":
+def _translate_item_event(
+    phase: ActionPhase, item: codex_schema.ThreadItem, *, factory: EventFactory
+) -> list[TakopiEvent]:
+    match item:
+        case codex_schema.AgentMessageItem():
             return []
-
-    action_id = str(item["id"])
-
-    phase = cast(ActionPhase, etype.split(".")[-1])
-
-    if item_type == "error":
+        case codex_schema.ErrorItem(id=action_id, message=message):
             if phase != "completed":
                 return []
-        message = str(item["message"])
             return [
-            _action_event(
-                phase="completed",
+                factory.action_completed(
                     action_id=action_id,
                     kind="warning",
                     title=message,
@@ -226,191 +159,191 @@ def _translate_item_event(etype: str, item: dict[str, Any]) -> list[TakopiEvent]
                     ok=False,
                     message=message,
                     level="warning",
-            )
+                ),
             ]
-
-    kind = _ACTION_KIND_MAP.get(item_type)
-    if kind is None:
-        return []
-
-    if kind == "command":
-        title = relativize_command(str(item["command"]))
+        case codex_schema.CommandExecutionItem(
+            id=action_id,
+            command=command,
+            exit_code=exit_code,
+            status=status,
+        ):
+            title = relativize_command(command)
             if phase in {"started", "updated"}:
                 return [
-                _action_event(
+                    factory.action(
                         phase=phase,
                         action_id=action_id,
-                    kind=kind,
+                        kind="command",
                         title=title,
                     )
                 ]
             if phase == "completed":
-            status = item["status"]
-            exit_code = item.get("exit_code")
                 ok = status == "completed"
                 if isinstance(exit_code, int):
                     ok = ok and exit_code == 0
-            detail = {
-                "exit_code": exit_code,
-                "status": status,
-            }
+                detail = {"exit_code": exit_code, "status": status}
                 return [
-                _action_event(
-                    phase="completed",
+                    factory.action_completed(
                         action_id=action_id,
-                    kind=kind,
+                        kind="command",
                         title=title,
                         detail=detail,
                         ok=ok,
-                )
+                    ),
                 ]
-
-    if kind == "tool":
-        if item_type == "tool_call":
-            name = item["name"]
-            title = str(name) if name else "tool"
-            detail = {
-                "name": name,
-                "status": item.get("status"),
-                "arguments": item.get("arguments"),
-            }
-        else:
-            tool_name = _short_tool_name(item)
-            title = tool_name
-            detail = {
-                "server": item["server"],
-                "tool": item["tool"],
-                "status": item.get("status"),
-                "arguments": item.get("arguments"),
+        case codex_schema.McpToolCallItem(
+            id=action_id,
+            server=server,
+            tool=tool,
+            arguments=arguments,
+            status=status,
+            result=result,
+            error=error,
+        ):
+            title = _short_tool_name(server, tool)
+            detail: dict[str, Any] = {
+                "server": server,
+                "tool": tool,
+                "status": status,
+                "arguments": arguments,
             }
 
             if phase in {"started", "updated"}:
                 return [
-                _action_event(
+                    factory.action(
                         phase=phase,
                         action_id=action_id,
-                    kind=kind,
+                        kind="tool",
                         title=title,
                         detail=detail,
                     )
                 ]
             if phase == "completed":
-            status = item.get("status")
-            error = item.get("error")
-            ok = status == "completed" and not error
-            if error:
-                if isinstance(error, dict):
-                    detail["error_message"] = str(error.get("message") or error)
-                else:
-                    detail["error_message"] = str(error)
-            result_summary = _summarize_tool_result(item.get("result"))
+                ok = status == "completed" and error is None
+                if error is not None:
+                    detail["error_message"] = str(error.message)
+                result_summary = _summarize_tool_result(result)
                 if result_summary is not None:
                     detail["result_summary"] = result_summary
                 return [
-                _action_event(
-                    phase="completed",
+                    factory.action_completed(
                         action_id=action_id,
-                    kind=kind,
+                        kind="tool",
                         title=title,
                         detail=detail,
                         ok=ok,
-                )
+                    ),
                 ]
-
-    if kind == "web_search":
-        title = str(item["query"])
-        detail = {"query": item["query"]}
+        case codex_schema.WebSearchItem(id=action_id, query=query):
+            detail = {"query": query}
             if phase in {"started", "updated"}:
                 return [
-                _action_event(
+                    factory.action(
                         phase=phase,
                         action_id=action_id,
-                    kind=kind,
-                    title=title,
+                        kind="web_search",
+                        title=query,
                         detail=detail,
                     )
                 ]
             if phase == "completed":
                 return [
-                _action_event(
-                    phase="completed",
+                    factory.action_completed(
                         action_id=action_id,
-                    kind=kind,
-                    title=title,
+                        kind="web_search",
+                        title=query,
                         detail=detail,
                         ok=True,
                     )
                 ]
-
-    if kind == "file_change":
+        case codex_schema.FileChangeItem(id=action_id, changes=changes, status=status):
             if phase != "completed":
                 return []
-        title = _format_change_summary(item)
+            title = _format_change_summary(changes)
             detail = {
-            "changes": item.get("changes", []),
-            "status": item.get("status"),
-            "error": item.get("error"),
+                "changes": changes,
+                "status": status,
+                "error": None,
             }
-        ok = item.get("status") == "completed"
+            ok = status == "completed"
             return [
-            _action_event(
-                phase="completed",
+                factory.action_completed(
                     action_id=action_id,
-                kind=kind,
+                    kind="file_change",
                     title=title,
                     detail=detail,
                     ok=ok,
                 )
             ]
-
-    if kind == "note":
-        if item_type == "todo_list":
-            summary = _summarize_todo_list(item["items"])
+        case codex_schema.TodoListItem(id=action_id, items=items):
+            summary = _summarize_todo_list(items)
             title = _todo_title(summary)
             detail = {"done": summary.done, "total": summary.total}
-        else:
-            title = str(item["text"])
-            detail = None
-
             if phase in {"started", "updated"}:
                 return [
-                _action_event(
+                    factory.action(
                         phase=phase,
                         action_id=action_id,
-                    kind=kind,
+                        kind="note",
                         title=title,
                         detail=detail,
                     )
                 ]
             if phase == "completed":
                 return [
-                _action_event(
-                    phase="completed",
+                    factory.action_completed(
                         action_id=action_id,
-                    kind=kind,
+                        kind="note",
                         title=title,
                         detail=detail,
                         ok=True,
                     )
                 ]
-
+        case codex_schema.ReasoningItem(id=action_id, text=text):
+            if phase in {"started", "updated"}:
+                return [
+                    factory.action(
+                        phase=phase,
+                        action_id=action_id,
+                        kind="note",
+                        title=text,
+                    )
+                ]
+            if phase == "completed":
+                return [
+                    factory.action_completed(
+                        action_id=action_id,
+                        kind="note",
+                        title=text,
+                        ok=True,
+                    )
+                ]
     return []
 
 
-def translate_codex_event(event: dict[str, Any], *, title: str) -> list[TakopiEvent]:
-    etype = event["type"]
-    match etype:
-        case "thread.started":
-            token = ResumeToken(engine=ENGINE, value=str(event["thread_id"]))
-            return [_started_event(token, title=title)]
-        case "item.started" | "item.updated" | "item.completed":
-            return _translate_item_event(etype, event["item"])
+def translate_codex_event(
+    event: codex_schema.ThreadEvent,
+    *,
+    title: str,
+    factory: EventFactory,
+) -> list[TakopiEvent]:
+    match event:
+        case codex_schema.ThreadStarted(thread_id=thread_id):
+            token = ResumeToken(engine=ENGINE, value=thread_id)
+            return [factory.started(token, title=title)]
+        case codex_schema.ItemStarted(item=item):
+            return _translate_item_event("started", item, factory=factory)
+        case codex_schema.ItemUpdated(item=item):
+            return _translate_item_event("updated", item, factory=factory)
+        case codex_schema.ItemCompleted(item=item):
+            return _translate_item_event("completed", item, factory=factory)
         case _:
             return []
 
 
 @dataclass(slots=True)
 class CodexRunState:
+    factory: EventFactory
     note_seq: int = 0
     final_answer: str | None = None
     turn_index: int = 0
@@ -419,7 +352,6 @@ class CodexRunState:
 class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
     engine: EngineId = ENGINE
     resume_re = _RESUME_RE
-    stderr_tail_lines = STDERR_TAIL_LINES
     logger = logger
 
     def __init__(
@@ -453,7 +385,7 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
 
     def new_state(self, prompt: str, resume: ResumeToken | None) -> CodexRunState:
         _ = prompt, resume
-        return CodexRunState()
+        return CodexRunState(factory=EventFactory(ENGINE))
 
     def start_run(
         self,
@@ -466,27 +398,50 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         logger.info("[codex] start run resume=%r", resume.value if resume else None)
         logger.debug("[codex] prompt: %s", prompt)
 
+    def decode_jsonl(self, *, line: bytes) -> codex_schema.ThreadEvent:
+        return codex_schema.decode_event(line)
+
+    def decode_error_events(
+        self,
+        *,
+        raw: str,
+        line: str,
+        error: Exception,
+        state: CodexRunState,
+    ) -> list[TakopiEvent]:
+        _ = raw, line
+        if isinstance(error, msgspec.DecodeError):
+            self.get_logger().warning(
+                "[%s] invalid msgspec event: %s", self.tag(), error
+            )
+            return []
+        return super().decode_error_events(
+            raw=raw,
+            line=line,
+            error=error,
+            state=state,
+        )
+
     def pipes_error_message(self) -> str:
         return "codex exec failed to open subprocess pipes"
 
     def translate(
         self,
-        data: dict[str, Any],
+        data: codex_schema.ThreadEvent,
         *,
         state: CodexRunState,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
     ) -> list[TakopiEvent]:
-        etype = data["type"]
-        match etype:
-            case "error":
-                message = str(data.get("message") or "")
+        factory = state.factory
+        match data:
+            case codex_schema.StreamError(message=message):
                 reconnect = _parse_reconnect_message(message)
                 if reconnect is not None:
                     attempt, max_attempts = reconnect
                     phase: ActionPhase = "started" if attempt <= 1 else "updated"
                     return [
-                        _action_event(
+                        factory.action(
                             phase=phase,
                             action_id="codex.reconnect",
                             kind="note",
@@ -495,83 +450,53 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
                             level="info",
                         )
                     ]
-
-                fatal_flag = data.get("fatal")
-                fatal = fatal_flag is True or fatal_flag is None
-                if fatal:
-                    resume_for_completed = found_session or resume
-                    return [
-                        _completed_event(
-                            resume=resume_for_completed,
-                            ok=False,
-                            answer=state.final_answer or "",
-                            error=message,
-                        )
-                    ]
-                return [
-                    self.note_event(
-                        message,
-                        state=state,
-                        ok=False,
-                        detail={"code": data.get("code"), "fatal": data.get("fatal")},
-                    )
-                ]
-            case "turn.failed":
-                error = data["error"]
-                message = str(error["message"])
-                resume_for_completed = found_session or resume
-                return [
-                    _completed_event(
-                        resume=resume_for_completed,
-                        ok=False,
-                        answer=state.final_answer or "",
-                        error=message,
-                    )
-                ]
-            case "turn.rate_limited":
-                retry_ms = data.get("retry_after_ms")
-                message = "rate limited"
-                if isinstance(retry_ms, int):
-                    message = f"rate limited (retry after {retry_ms}ms)"
                 return [self.note_event(message, state=state, ok=False)]
-            case "turn.started":
+            case codex_schema.TurnFailed(error=error):
+                resume_for_completed = found_session or resume
+                return [
+                    factory.completed_error(
+                        error=error.message,
+                        answer=state.final_answer or "",
+                        resume=resume_for_completed,
+                    )
+                ]
+            case codex_schema.TurnStarted():
                 action_id = f"turn_{state.turn_index}"
                 state.turn_index += 1
                 return [
-                    _action_event(
-                        phase="started",
+                    factory.action_started(
                         action_id=action_id,
                         kind="turn",
                         title="turn started",
                     )
                 ]
-            case "turn.completed":
+            case codex_schema.TurnCompleted(usage=usage):
                 resume_for_completed = found_session or resume
                 return [
-                    _completed_event(
-                        resume=resume_for_completed,
-                        ok=True,
+                    factory.completed_ok(
                         answer=state.final_answer or "",
-                        usage=data.get("usage"),
+                        resume=resume_for_completed,
+                        usage=msgspec.to_builtins(usage),
                     )
                 ]
-            case "item.completed":
-                item = data["item"]
-                item_type = cast(str, item.get("type") or item.get("item_type"))
-                if item_type == "assistant_message":
-                    item_type = "agent_message"
-                if item_type == "agent_message":
+            case codex_schema.ItemCompleted(
+                item=codex_schema.AgentMessageItem(text=text)
+            ):
                 if state.final_answer is None:
-                        state.final_answer = item["text"]
+                    state.final_answer = text
                 else:
                     logger.debug(
                         "[codex] emitted multiple agent messages; using the last one"
                     )
-                        state.final_answer = item["text"]
+                    state.final_answer = text
             case _:
                 pass
 
-        return translate_codex_event(data, title=self.session_title)
+        return translate_codex_event(
+            data,
+            title=self.session_title,
+            factory=factory,
+        )
 
     def process_error_events(
         self,
@@ -579,13 +504,8 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: CodexRunState,
     ) -> list[TakopiEvent]:
-        reason = _extract_stderr_reason(stderr_tail)
-        if reason:
-            message = f"codex exec failed (rc={rc}).\n\n{reason}"
-        else:
         message = f"codex exec failed (rc={rc})."
         resume_for_completed = found_session or resume
         return [
@@ -593,13 +513,11 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
                 message,
                 state=state,
                 ok=False,
-                detail={"stderr_tail": stderr_tail},
             ),
-            _completed_event(
-                resume=resume_for_completed,
-                ok=False,
-                answer=state.final_answer or "",
+            state.factory.completed_error(
                 error=message,
+                answer=state.final_answer or "",
+                resume=resume_for_completed,
             ),
         ]
 
@@ -608,27 +526,23 @@ class CodexRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: CodexRunState,
     ) -> list[TakopiEvent]:
-        _ = stderr_tail
         if not found_session:
             message = "codex exec finished but no session_id/thread_id was captured"
             resume_for_completed = resume
             return [
-                _completed_event(
-                    resume=resume_for_completed,
-                    ok=False,
-                    answer=state.final_answer or "",
+                state.factory.completed_error(
                     error=message,
+                    answer=state.final_answer or "",
+                    resume=resume_for_completed,
                 )
             ]
         logger.info("[codex] done run session=%s", found_session.value)
         return [
-            _completed_event(
-                resume=found_session,
-                ok=True,
+            state.factory.completed_ok(
                 answer=state.final_answer or "",
+                resume=found_session,
             )
         ]
 

src/takopi/runners/opencode.py

@@ -19,6 +19,8 @@ from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Any, Literal
 
+import msgspec
+
 from ..backends import EngineBackend, EngineConfig
 from ..config import ConfigError
 from ..model import (
@@ -32,12 +34,12 @@ from ..model import (
     TakopiEvent,
 )
 from ..runner import JsonlSubprocessRunner, ResumeTokenMixin, Runner
+from ..schemas import opencode as opencode_schema
 from ..utils.paths import relativize_command, relativize_path
 
 logger = logging.getLogger(__name__)
 
 ENGINE: EngineId = EngineId("opencode")
-STDERR_TAIL_LINES = 200
 
 _RESUME_RE = re.compile(
     r"(?im)^\s*`?opencode(?:\s+run)?\s+(?:--session|-s)\s+(?P<token>ses_[A-Za-z0-9]+)`?\s*$"
@@ -54,8 +56,6 @@ class OpenCodeStreamState:
     session_id: str | None = None
     emitted_started: bool = False
     saw_step_finish: bool = False
-    total_cost: float = 0.0
-    total_tokens: dict[str, int] = field(default_factory=dict)
 
 
 def _action_event(
@@ -146,9 +146,8 @@ def _normalize_tool_title(
     return title
 
 
-def _extract_tool_action(event: dict[str, Any]) -> Action | None:
-    """Extract an Action from an OpenCode tool_use event."""
-    part = event.get("part") or {}
+def _extract_tool_action(part: dict[str, Any]) -> Action | None:
+    """Extract an Action from an OpenCode tool_use part."""
     state = part.get("state") or {}
 
     call_id = part.get("callID")
@@ -182,31 +181,21 @@ def _extract_tool_action(event: dict[str, Any]) -> Action | None:
     return Action(id=call_id, kind=kind, title=title, detail=detail)
 
 
-def _usage_from_tokens(tokens: dict[str, int], cost: float) -> dict[str, Any]:
-    """Build usage payload from accumulated token counts."""
-    usage: dict[str, Any] = {}
-    if cost > 0:
-        usage["total_cost_usd"] = cost
-    if tokens:
-        usage["tokens"] = tokens
-    return usage
-
-
 def translate_opencode_event(
-    event: dict[str, Any],
+    event: opencode_schema.OpenCodeEvent,
     *,
     title: str,
     state: OpenCodeStreamState,
 ) -> list[TakopiEvent]:
     """Translate an OpenCode JSON event into Takopi events."""
-    etype = event.get("type")
-    session_id = event.get("sessionID")
+    session_id = event.sessionID
 
     if isinstance(session_id, str) and session_id:
         if state.session_id is None:
             state.session_id = session_id
 
-    if etype == "step_start":
+    match event:
+        case opencode_schema.StepStart():
             if not state.emitted_started and state.session_id:
                 state.emitted_started = True
                 return [
@@ -218,12 +207,12 @@ def translate_opencode_event(
                 ]
             return []
 
-    if etype == "tool_use":
-        part = event.get("part") or {}
+        case opencode_schema.ToolUse(part=part):
+            part = part or {}
             tool_state = part.get("state") or {}
             status = tool_state.get("status")
 
-        action = _extract_tool_action(event)
+            action = _extract_tool_action(part)
             if action is None:
                 return []
 
@@ -286,8 +275,8 @@ def translate_opencode_event(
                 state.pending_actions[action.id] = action
                 return [_action_event(phase="started", action=action)]
 
-    if etype == "text":
-        part = event.get("part") or {}
+        case opencode_schema.Text(part=part):
+            part = part or {}
             text = part.get("text")
             if isinstance(text, str) and text:
                 if state.last_text is None:
@@ -296,54 +285,28 @@ def translate_opencode_event(
                     state.last_text += text
             return []
 
-    if etype == "step_finish":
-        part = event.get("part") or {}
+        case opencode_schema.StepFinish(part=part):
+            part = part or {}
             reason = part.get("reason")
             state.saw_step_finish = True
 
-        tokens = part.get("tokens") or {}
-        if isinstance(tokens, dict):
-            for key in ("input", "output", "reasoning"):
-                value = tokens.get(key)
-                if isinstance(value, int):
-                    state.total_tokens[key] = state.total_tokens.get(key, 0) + value
-            cache = tokens.get("cache") or {}
-            if isinstance(cache, dict):
-                for key in ("read", "write"):
-                    value = cache.get(key)
-                    if not isinstance(value, int):
-                        continue
-                    cache_key = f"cache_{key}"
-                    state.total_tokens[cache_key] = (
-                        state.total_tokens.get(cache_key, 0) + value
-                    )
-
-        cost = part.get("cost")
-        if isinstance(cost, (int, float)):
-            state.total_cost += cost
-
             if reason == "stop":
                 resume = None
                 if state.session_id:
                     resume = ResumeToken(engine=ENGINE, value=state.session_id)
 
-            usage = _usage_from_tokens(state.total_tokens, state.total_cost)
-
                 return [
                     CompletedEvent(
                         engine=ENGINE,
                         ok=True,
                         answer=state.last_text or "",
                         resume=resume,
-                    usage=usage or None,
                     )
                 ]
             return []
 
-    if etype == "error":
-        raw_message = event.get("message")
-        if raw_message is None:
-            raw_message = event.get("error")
+        case opencode_schema.Error(error=error_value, message=message_value):
+            raw_message = message_value if message_value is not None else error_value
 
             message = raw_message
             if isinstance(message, dict):
@@ -352,7 +315,9 @@ def translate_opencode_event(
                     message = data.get("message")
                 else:
                     message = (
-                    message.get("message") or message.get("name") or "opencode error"
+                        message.get("message")
+                        or message.get("name")
+                        or "opencode error"
                     )
             elif message is None:
                 message = "opencode error"
@@ -371,6 +336,7 @@ def translate_opencode_event(
                 )
             ]
 
+        case _:
             return []
 
 
@@ -384,7 +350,6 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
     opencode_cmd: str = "opencode"
     model: str | None = None
     session_title: str = "opencode"
-    stderr_tail_lines: int = STDERR_TAIL_LINES
     logger: logging.Logger = logger
 
     def format_resume(self, token: ResumeToken) -> str:
@@ -452,7 +417,7 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
 
     def translate(
         self,
-        data: dict[str, Any],
+        data: opencode_schema.OpenCodeEvent,
         *,
         state: OpenCodeStreamState,
         resume: ResumeToken | None,
@@ -465,13 +430,36 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
             state=state,
         )
 
+    def decode_jsonl(self, *, line: bytes) -> opencode_schema.OpenCodeEvent:
+        return opencode_schema.decode_event(line)
+
+    def decode_error_events(
+        self,
+        *,
+        raw: str,
+        line: str,
+        error: Exception,
+        state: OpenCodeStreamState,
+    ) -> list[TakopiEvent]:
+        _ = raw, line, state
+        if isinstance(error, msgspec.DecodeError):
+            self.get_logger().warning(
+                "[%s] invalid msgspec event: %s", self.tag(), error
+            )
+            return []
+        return super().decode_error_events(
+            raw=raw,
+            line=line,
+            error=error,
+            state=state,
+        )
+
     def process_error_events(
         self,
         rc: int,
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: OpenCodeStreamState,
     ) -> list[TakopiEvent]:
         message = f"opencode failed (rc={rc})."
@@ -481,7 +469,6 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
                 message,
                 state=state,
                 ok=False,
-                detail={"stderr_tail": stderr_tail},
             ),
             CompletedEvent(
                 engine=ENGINE,
@@ -497,10 +484,8 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: OpenCodeStreamState,
     ) -> list[TakopiEvent]:
-        _ = stderr_tail
         if not found_session:
             message = "opencode finished but no session_id was captured"
             resume_for_completed = resume
@@ -515,14 +500,12 @@ class OpenCodeRunner(ResumeTokenMixin, JsonlSubprocessRunner):
             ]
 
         if state.saw_step_finish:
-            usage = _usage_from_tokens(state.total_tokens, state.total_cost)
             return [
                 CompletedEvent(
                     engine=ENGINE,
                     ok=True,
                     answer=state.last_text or "",
                     resume=found_session,
-                    usage=usage or None,
                 )
             ]
 

src/takopi/runners/pi.py

@@ -9,6 +9,8 @@ from pathlib import Path
 from typing import Any
 from uuid import uuid4
 
+import msgspec
+
 from ..backends import EngineBackend, EngineConfig
 from ..config import ConfigError
 from ..model import (
@@ -24,12 +26,12 @@ from ..model import (
     TakopiEvent,
 )
 from ..runner import JsonlSubprocessRunner, ResumeTokenMixin, Runner
+from ..schemas import pi as pi_schema
 from ..utils.paths import relativize_command, relativize_path
 
 logger = logging.getLogger(__name__)
 
 ENGINE: EngineId = EngineId("pi")
-STDERR_TAIL_LINES = 200
 
 _RESUME_RE = re.compile(r"(?im)^\s*`?pi\s+--session\s+(?P<token>.+?)`?\s*$")
 
@@ -132,7 +134,7 @@ def _last_assistant_message(messages: Any) -> dict[str, Any] | None:
 
 
 def translate_pi_event(
-    event: dict[str, Any],
+    event: pi_schema.PiEvent,
     *,
     title: str,
     meta: dict[str, Any] | None,
@@ -150,12 +152,10 @@ def translate_pi_event(
         )
         state.started = True
 
-    etype = event.get("type")
-
-    if etype == "tool_execution_start":
-        tool_id = event.get("toolCallId")
-        tool_name = event.get("toolName")
-        args = event.get("args") or {}
+    match event:
+        case pi_schema.ToolExecutionStart(
+            toolCallId=tool_id, toolName=tool_name, args=args
+        ):
             if not isinstance(args, dict):
                 args = {}
             if isinstance(tool_id, str) and tool_id:
@@ -171,18 +171,17 @@ def translate_pi_event(
                 out.append(_action_event(phase="started", action=action))
             return out
 
-    if etype == "tool_execution_end":
-        tool_id = event.get("toolCallId")
-        tool_name = event.get("toolName")
+        case pi_schema.ToolExecutionEnd(
+            toolCallId=tool_id, toolName=tool_name, result=result, isError=is_error
+        ):
             if isinstance(tool_id, str) and tool_id:
                 action = state.pending_actions.pop(tool_id, None)
                 name = str(tool_name or "tool")
                 if action is None:
                     action = Action(id=tool_id, kind="tool", title=name, detail={})
                 detail = dict(action.detail)
-            detail["result"] = event.get("result")
-            detail["is_error"] = event.get("isError")
-            is_error = event.get("isError") is True
+                detail["result"] = result
+                detail["is_error"] = is_error
                 out.append(
                     _action_event(
                         phase="completed",
@@ -197,8 +196,7 @@ def translate_pi_event(
                 )
             return out
 
-    if etype == "message_end":
-        message = event.get("message")
+        case pi_schema.MessageEnd(message=message):
             if isinstance(message, dict) and message.get("role") == "assistant":
                 text = _extract_text_blocks(message.get("content"))
                 if text:
@@ -211,8 +209,8 @@ def translate_pi_event(
                     state.last_assistant_error = error
             return out
 
-    if etype == "agent_end":
-        assistant = _last_assistant_message(event.get("messages"))
+        case pi_schema.AgentEnd(messages=messages):
+            assistant = _last_assistant_message(messages)
             if assistant:
                 text = _extract_text_blocks(assistant.get("content"))
                 if text:
@@ -240,13 +238,13 @@ def translate_pi_event(
             )
             return out
 
+        case _:
             return out
 
 
 class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
     engine: EngineId = ENGINE
     resume_re: re.Pattern[str] = _RESUME_RE
-    stderr_tail_lines = STDERR_TAIL_LINES
     logger = logger
 
     def __init__(
@@ -335,7 +333,7 @@ class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
 
     def translate(
         self,
-        data: dict[str, Any],
+        data: pi_schema.PiEvent,
         *,
         state: PiStreamState,
         resume: ResumeToken | None,
@@ -354,19 +352,46 @@ class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
             state=state,
         )
 
+    def decode_jsonl(
+        self,
+        *,
+        line: bytes,
+    ) -> pi_schema.PiEvent:
+        return pi_schema.decode_event(line)
+
+    def decode_error_events(
+        self,
+        *,
+        raw: str,
+        line: str,
+        error: Exception,
+        state: PiStreamState,
+    ) -> list[TakopiEvent]:
+        _ = raw, line, state
+        if isinstance(error, msgspec.DecodeError):
+            self.get_logger().warning(
+                "[%s] invalid msgspec event: %s", self.tag(), error
+            )
+            return []
+        return super().decode_error_events(
+            raw=raw,
+            line=line,
+            error=error,
+            state=state,
+        )
+
     def process_error_events(
         self,
         rc: int,
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: PiStreamState,
     ) -> list[TakopiEvent]:
         message = f"pi failed (rc={rc})."
         resume_for_completed = found_session or resume or state.resume
         return [
-            self.note_event(message, state=state, detail={"stderr_tail": stderr_tail}),
+            self.note_event(message, state=state),
             CompletedEvent(
                 engine=ENGINE,
                 ok=False,
@@ -382,10 +407,8 @@ class PiRunner(ResumeTokenMixin, JsonlSubprocessRunner):
         *,
         resume: ResumeToken | None,
         found_session: ResumeToken | None,
-        stderr_tail: str,
         state: PiStreamState,
     ) -> list[TakopiEvent]:
-        _ = stderr_tail
         resume_for_completed = found_session or resume or state.resume
         message = "pi finished without an agent_end event"
         return [

src/takopi/schemas/__init__.py

@@ -0,0 +1 @@
+"""Event schemas for runner JSONL streams."""

src/takopi/schemas/claude.py

@@ -0,0 +1,238 @@
+"""Msgspec models and decoder for Claude Code stream-json output."""
+
+from __future__ import annotations
+
+from typing import Any, Literal, TypeAlias
+
+import msgspec
+
+
+class StreamTextBlock(
+    msgspec.Struct, tag="text", tag_field="type", forbid_unknown_fields=False
+):
+    text: str
+
+
+class StreamThinkingBlock(
+    msgspec.Struct, tag="thinking", tag_field="type", forbid_unknown_fields=False
+):
+    thinking: str
+    signature: str
+
+
+class StreamToolUseBlock(
+    msgspec.Struct, tag="tool_use", tag_field="type", forbid_unknown_fields=False
+):
+    id: str
+    name: str
+    input: dict[str, Any]
+
+
+class StreamToolResultBlock(
+    msgspec.Struct, tag="tool_result", tag_field="type", forbid_unknown_fields=False
+):
+    tool_use_id: str
+    content: str | list[dict[str, Any]] | None = None
+    is_error: bool | None = None
+
+
+StreamContentBlock: TypeAlias = (
+    StreamTextBlock | StreamThinkingBlock | StreamToolUseBlock | StreamToolResultBlock
+)
+
+
+class StreamUserMessageBody(msgspec.Struct, forbid_unknown_fields=False):
+    role: Literal["user"]
+    content: str | list[StreamContentBlock]
+
+
+class StreamAssistantMessageBody(msgspec.Struct, forbid_unknown_fields=False):
+    role: Literal["assistant"]
+    content: list[StreamContentBlock]
+    model: str
+    error: str | None = None
+
+
+class StreamUserMessage(
+    msgspec.Struct, tag="user", tag_field="type", forbid_unknown_fields=False
+):
+    message: StreamUserMessageBody
+    uuid: str | None = None
+    parent_tool_use_id: str | None = None
+    session_id: str | None = None
+
+
+class StreamAssistantMessage(
+    msgspec.Struct, tag="assistant", tag_field="type", forbid_unknown_fields=False
+):
+    message: StreamAssistantMessageBody
+    parent_tool_use_id: str | None = None
+    uuid: str | None = None
+    session_id: str | None = None
+
+
+class StreamSystemMessage(
+    msgspec.Struct, tag="system", tag_field="type", forbid_unknown_fields=False
+):
+    subtype: str
+    session_id: str | None = None
+    uuid: str | None = None
+    cwd: str | None = None
+    tools: list[str] | None = None
+    mcp_servers: list[Any] | None = None
+    model: str | None = None
+    permissionMode: str | None = None
+    output_style: str | None = None
+    apiKeySource: str | None = None
+
+
+class StreamResultMessage(
+    msgspec.Struct, tag="result", tag_field="type", forbid_unknown_fields=False
+):
+    subtype: str
+    duration_ms: int
+    duration_api_ms: int
+    is_error: bool
+    num_turns: int
+    session_id: str
+    total_cost_usd: float | None = None
+    usage: dict[str, Any] | None = None
+    result: str | None = None
+    structured_output: Any = None
+
+
+class StreamEventMessage(
+    msgspec.Struct, tag="stream_event", tag_field="type", forbid_unknown_fields=False
+):
+    uuid: str
+    session_id: str
+    event: dict[str, Any]
+    parent_tool_use_id: str | None = None
+
+
+class ControlInterruptRequest(
+    msgspec.Struct, tag="interrupt", tag_field="subtype", forbid_unknown_fields=False
+):
+    pass
+
+
+class ControlCanUseToolRequest(
+    msgspec.Struct, tag="can_use_tool", tag_field="subtype", forbid_unknown_fields=False
+):
+    tool_name: str
+    input: dict[str, Any]
+    permission_suggestions: list[Any] | None = None
+    blocked_path: str | None = None
+
+
+class ControlInitializeRequest(
+    msgspec.Struct, tag="initialize", tag_field="subtype", forbid_unknown_fields=False
+):
+    hooks: dict[str, Any] | None = None
+
+
+class ControlSetPermissionModeRequest(
+    msgspec.Struct,
+    tag="set_permission_mode",
+    tag_field="subtype",
+    forbid_unknown_fields=False,
+):
+    mode: str
+
+
+class ControlHookCallbackRequest(
+    msgspec.Struct,
+    tag="hook_callback",
+    tag_field="subtype",
+    forbid_unknown_fields=False,
+):
+    callback_id: str
+    input: Any
+    tool_use_id: str | None = None
+
+
+class ControlMcpMessageRequest(
+    msgspec.Struct, tag="mcp_message", tag_field="subtype", forbid_unknown_fields=False
+):
+    server_name: str
+    message: Any
+
+
+class ControlRewindFilesRequest(
+    msgspec.Struct, tag="rewind_files", tag_field="subtype", forbid_unknown_fields=False
+):
+    user_message_id: str
+
+
+ControlRequest: TypeAlias = (
+    ControlInterruptRequest
+    | ControlCanUseToolRequest
+    | ControlInitializeRequest
+    | ControlSetPermissionModeRequest
+    | ControlHookCallbackRequest
+    | ControlMcpMessageRequest
+    | ControlRewindFilesRequest
+)
+
+
+class StreamControlRequest(
+    msgspec.Struct, tag="control_request", tag_field="type", forbid_unknown_fields=False
+):
+    request_id: str
+    request: ControlRequest
+
+
+class ControlSuccessResponse(
+    msgspec.Struct, tag="success", tag_field="subtype", forbid_unknown_fields=False
+):
+    request_id: str
+    response: dict[str, Any] | None = None
+
+
+class ControlErrorResponse(
+    msgspec.Struct, tag="error", tag_field="subtype", forbid_unknown_fields=False
+):
+    request_id: str
+    error: str
+
+
+ControlResponse: TypeAlias = ControlSuccessResponse | ControlErrorResponse
+
+
+class StreamControlResponse(
+    msgspec.Struct,
+    tag="control_response",
+    tag_field="type",
+    forbid_unknown_fields=False,
+):
+    response: ControlResponse
+
+
+class StreamControlCancelRequest(
+    msgspec.Struct,
+    tag="control_cancel_request",
+    tag_field="type",
+    forbid_unknown_fields=False,
+):
+    request_id: str | None = None
+
+
+StreamJsonMessage: TypeAlias = (
+    StreamUserMessage
+    | StreamAssistantMessage
+    | StreamSystemMessage
+    | StreamResultMessage
+    | StreamEventMessage
+    | StreamControlRequest
+    | StreamControlResponse
+    | StreamControlCancelRequest
+)
+
+
+STREAM_JSON_SCHEMA = msgspec.json.schema(StreamJsonMessage)
+
+_DECODER = msgspec.json.Decoder(StreamJsonMessage)
+
+
+def decode_stream_json_line(line: str | bytes) -> StreamJsonMessage:
+    return _DECODER.decode(line)

src/takopi/schemas/codex.py

@@ -0,0 +1,169 @@
+from __future__ import annotations
+
+# Headless JSONL schema derived from tag rust-v0.77.0 (git 112f40e91c12af0f7146d7e03f20283516a8af0b).
+
+from typing import Any, Literal, TypeAlias
+
+import msgspec
+
+CommandExecutionStatus: TypeAlias = Literal[
+    "in_progress",
+    "completed",
+    "failed",
+    "declined",
+]
+PatchApplyStatus: TypeAlias = Literal[
+    "in_progress",
+    "completed",
+    "failed",
+]
+PatchChangeKind: TypeAlias = Literal[
+    "add",
+    "delete",
+    "update",
+]
+McpToolCallStatus: TypeAlias = Literal[
+    "in_progress",
+    "completed",
+    "failed",
+]
+
+
+class Usage(msgspec.Struct, kw_only=True):
+    input_tokens: int
+    cached_input_tokens: int
+    output_tokens: int
+
+
+class ThreadError(msgspec.Struct, kw_only=True):
+    message: str
+
+
+class ThreadStarted(msgspec.Struct, tag="thread.started", kw_only=True):
+    thread_id: str
+
+
+class TurnStarted(msgspec.Struct, tag="turn.started", kw_only=True):
+    pass
+
+
+class TurnCompleted(msgspec.Struct, tag="turn.completed", kw_only=True):
+    usage: Usage
+
+
+class TurnFailed(msgspec.Struct, tag="turn.failed", kw_only=True):
+    error: ThreadError
+
+
+class StreamError(msgspec.Struct, tag="error", kw_only=True):
+    message: str
+
+
+class AgentMessageItem(msgspec.Struct, tag="agent_message", kw_only=True):
+    id: str
+    text: str
+
+
+class ReasoningItem(msgspec.Struct, tag="reasoning", kw_only=True):
+    id: str
+    text: str
+
+
+class CommandExecutionItem(msgspec.Struct, tag="command_execution", kw_only=True):
+    id: str
+    command: str
+    aggregated_output: str
+    exit_code: int | None
+    status: CommandExecutionStatus
+
+
+class FileUpdateChange(msgspec.Struct, kw_only=True):
+    path: str
+    kind: PatchChangeKind
+
+
+class FileChangeItem(msgspec.Struct, tag="file_change", kw_only=True):
+    id: str
+    changes: list[FileUpdateChange]
+    status: PatchApplyStatus
+
+
+class McpToolCallItemResult(msgspec.Struct, kw_only=True):
+    content: list[dict[str, Any]]
+    structured_content: Any
+
+
+class McpToolCallItemError(msgspec.Struct, kw_only=True):
+    message: str
+
+
+class McpToolCallItem(msgspec.Struct, tag="mcp_tool_call", kw_only=True):
+    id: str
+    server: str
+    tool: str
+    arguments: Any
+    result: McpToolCallItemResult | None
+    error: McpToolCallItemError | None
+    status: McpToolCallStatus
+
+
+class WebSearchItem(msgspec.Struct, tag="web_search", kw_only=True):
+    id: str
+    query: str
+
+
+class ErrorItem(msgspec.Struct, tag="error", kw_only=True):
+    id: str
+    message: str
+
+
+class TodoItem(msgspec.Struct, kw_only=True):
+    text: str
+    completed: bool
+
+
+class TodoListItem(msgspec.Struct, tag="todo_list", kw_only=True):
+    id: str
+    items: list[TodoItem]
+
+
+ThreadItem: TypeAlias = (
+    AgentMessageItem
+    | ReasoningItem
+    | CommandExecutionItem
+    | FileChangeItem
+    | McpToolCallItem
+    | WebSearchItem
+    | TodoListItem
+    | ErrorItem
+)
+
+
+class ItemStarted(msgspec.Struct, tag="item.started", kw_only=True):
+    item: ThreadItem
+
+
+class ItemUpdated(msgspec.Struct, tag="item.updated", kw_only=True):
+    item: ThreadItem
+
+
+class ItemCompleted(msgspec.Struct, tag="item.completed", kw_only=True):
+    item: ThreadItem
+
+
+ThreadEvent: TypeAlias = (
+    ThreadStarted
+    | TurnStarted
+    | TurnCompleted
+    | TurnFailed
+    | ItemStarted
+    | ItemUpdated
+    | ItemCompleted
+    | StreamError
+)
+
+_DECODER = msgspec.json.Decoder(ThreadEvent)
+
+
+def decode_event(data: bytes | str) -> ThreadEvent:
+    return _DECODER.decode(data)

src/takopi/schemas/opencode.py

@@ -0,0 +1,51 @@
+"""Msgspec models and decoder for opencode --format json output."""
+
+from __future__ import annotations
+
+from typing import Any, TypeAlias
+
+import msgspec
+
+
+class _Event(msgspec.Struct, tag_field="type", forbid_unknown_fields=False):
+    pass
+
+
+class StepStart(_Event, tag="step_start"):
+    timestamp: int | None = None
+    sessionID: str | None = None
+    part: dict[str, Any] | None = None
+
+
+class StepFinish(_Event, tag="step_finish"):
+    timestamp: int | None = None
+    sessionID: str | None = None
+    part: dict[str, Any] | None = None
+
+
+class ToolUse(_Event, tag="tool_use"):
+    timestamp: int | None = None
+    sessionID: str | None = None
+    part: dict[str, Any] | None = None
+
+
+class Text(_Event, tag="text"):
+    timestamp: int | None = None
+    sessionID: str | None = None
+    part: dict[str, Any] | None = None
+
+
+class Error(_Event, tag="error"):
+    timestamp: int | None = None
+    sessionID: str | None = None
+    error: Any = None
+    message: Any = None
+
+
+OpenCodeEvent: TypeAlias = StepStart | StepFinish | ToolUse | Text | Error
+
+_DECODER = msgspec.json.Decoder(OpenCodeEvent)
+
+
+def decode_event(line: str | bytes) -> OpenCodeEvent:
+    return _DECODER.decode(line)

src/takopi/schemas/pi.py

@@ -0,0 +1,108 @@
+"""Msgspec models and decoder for pi --mode json output."""
+
+from __future__ import annotations
+
+from typing import Any, TypeAlias
+
+import msgspec
+
+
+class _Event(msgspec.Struct, tag_field="type", forbid_unknown_fields=False):
+    pass
+
+
+class AgentStart(_Event, tag="agent_start"):
+    pass
+
+
+class AgentEnd(_Event, tag="agent_end"):
+    messages: list[dict[str, Any]]
+
+
+class MessageEnd(_Event, tag="message_end"):
+    message: dict[str, Any]
+
+
+class MessageStart(_Event, tag="message_start"):
+    message: dict[str, Any] | None = None
+
+
+class MessageUpdate(_Event, tag="message_update"):
+    message: dict[str, Any] | None = None
+    assistantMessageEvent: dict[str, Any] | None = None
+
+
+class TurnStart(_Event, tag="turn_start"):
+    pass
+
+
+class TurnEnd(_Event, tag="turn_end"):
+    message: dict[str, Any] | None = None
+    toolResults: list[dict[str, Any]] | None = None
+
+
+class ToolExecutionStart(_Event, tag="tool_execution_start"):
+    toolCallId: str
+    toolName: str | None = None
+    args: dict[str, Any] = msgspec.field(default_factory=dict)
+
+
+class ToolExecutionUpdate(_Event, tag="tool_execution_update"):
+    toolCallId: str | None = None
+    toolName: str | None = None
+    args: dict[str, Any] = msgspec.field(default_factory=dict)
+    partialResult: Any = None
+
+
+class ToolExecutionEnd(_Event, tag="tool_execution_end"):
+    toolCallId: str
+    toolName: str | None = None
+    result: Any = None
+    isError: bool = False
+
+
+class AutoCompactionStart(_Event, tag="auto_compaction_start"):
+    reason: str | None = None
+
+
+class AutoCompactionEnd(_Event, tag="auto_compaction_end"):
+    result: dict[str, Any] | None = None
+    aborted: bool | None = None
+    willRetry: bool | None = None
+
+
+class AutoRetryStart(_Event, tag="auto_retry_start"):
+    attempt: int | None = None
+    maxAttempts: int | None = None
+    delayMs: int | None = None
+    errorMessage: str | None = None
+
+
+class AutoRetryEnd(_Event, tag="auto_retry_end"):
+    success: bool | None = None
+    attempt: int | None = None
+    finalError: str | None = None
+
+
+PiEvent: TypeAlias = (
+    AgentStart
+    | AgentEnd
+    | MessageStart
+    | MessageUpdate
+    | MessageEnd
+    | TurnStart
+    | TurnEnd
+    | ToolExecutionStart
+    | ToolExecutionUpdate
+    | ToolExecutionEnd
+    | AutoCompactionStart
+    | AutoCompactionEnd
+    | AutoRetryStart
+    | AutoRetryEnd
+)
+
+_DECODER = msgspec.json.Decoder(PiEvent)
+
+
+def decode_event(line: str | bytes) -> PiEvent:
+    return _DECODER.decode(line)

src/takopi/utils/streams.py

@@ -1,73 +1,32 @@
 from __future__ import annotations
 
-from collections import deque
 from collections.abc import AsyncIterator
-from dataclasses import dataclass
-import json
 import logging
-from typing import Any
+import sys
 
 import anyio
 from anyio.abc import ByteReceiveStream
-from anyio.streams.text import TextReceiveStream
+from anyio.streams.buffered import BufferedByteReceiveStream
 
 
-async def iter_text_lines(stream: ByteReceiveStream) -> AsyncIterator[str]:
-    text_stream = TextReceiveStream(stream, errors="replace")
-    buffer = ""
+async def iter_bytes_lines(stream: ByteReceiveStream) -> AsyncIterator[bytes]:
+    buffered = BufferedByteReceiveStream(stream)
     while True:
         try:
-            chunk = await text_stream.receive()
-        except anyio.EndOfStream:
-            if buffer:
-                yield buffer
+            line = await buffered.receive_until(b"\n", sys.maxsize)
+        except anyio.IncompleteRead:
             return
-        buffer += chunk
-        while True:
-            split_at = buffer.find("\n")
-            if split_at < 0:
-                break
-            line = buffer[: split_at + 1]
-            buffer = buffer[split_at + 1 :]
         yield line
 
 
-@dataclass(frozen=True, slots=True)
-class JsonLine:
-    raw: str
-    line: str
-    data: dict[str, Any] | None
-
-
-async def iter_jsonl(
-    stream: ByteReceiveStream,
-    *,
-    logger: logging.Logger,
-    tag: str,
-) -> AsyncIterator[JsonLine]:
-    async for raw_line in iter_text_lines(stream):
-        raw = raw_line.rstrip("\n")
-        logger.debug("[%s][jsonl] %s", tag, raw)
-        line = raw.strip()
-        if not line:
-            continue
-        try:
-            data = json.loads(line)
-        except json.JSONDecodeError:
-            logger.debug("[%s] invalid json line: %s", tag, line)
-            data = None
-        yield JsonLine(raw=raw, line=line, data=data)
-
-
 async def drain_stderr(
     stream: ByteReceiveStream,
-    chunks: deque[str],
     logger: logging.Logger,
     tag: str,
 ) -> None:
     try:
-        async for line in iter_text_lines(stream):
-            logger.debug("[%s][stderr] %s", tag, line.rstrip())
-            chunks.append(line)
+        async for line in iter_bytes_lines(stream):
+            text = line.decode("utf-8", errors="replace")
+            logger.debug("[%s][stderr] %s", tag, text)
     except Exception as e:
         logger.debug("[%s][stderr] drain error: %s", tag, e)

tests/fixtures/claude_stream_error.jsonl

@@ -1,5 +0,0 @@
-{"type":"system","subtype":"init","session_id":"session_02","cwd":"/Users/banteg/dev/project","model":"sonnet","permissionMode":"manual","apiKeySource":"env","tools":["Bash","Read","Write"],"mcp_servers":[{"name":"approvals","status":"connected"}]}
-{"type":"assistant","session_id":"session_02","message":{"id":"msg_10","type":"message","role":"assistant","content":[{"type":"text","text":"I need permission to run this command."}],"usage":{"input_tokens":80,"output_tokens":20}}}
-{"type":"assistant","session_id":"session_02","parent_tool_use_id":"toolu_parent","message":{"id":"msg_11","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_9","name":"Bash","input":{"command":"git fetch origin main"}}]}}
-{"type":"user","session_id":"session_02","message":{"id":"msg_12","type":"message","role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_9","content":"permission denied"}]}}
-{"type":"result","subtype":"error","session_id":"session_02","total_cost_usd":0.001,"is_error":true,"duration_ms":2000,"duration_api_ms":1800,"num_turns":1,"result":"","error":"Permission denied","permission_denials":[{"tool_name":"Bash","tool_use_id":"toolu_9","tool_input":{"command":"git fetch origin main"}}]}

tests/fixtures/claude_stream_success.jsonl

@@ -1,8 +0,0 @@
-{"type":"system","subtype":"init","session_id":"session_01","cwd":"/Users/banteg/dev/project","model":"sonnet","permissionMode":"auto","apiKeySource":"env","tools":["Bash","Read","Write","WebSearch","Task"],"mcp_servers":[{"name":"approvals","status":"connected"}]}
-{"type":"assistant","session_id":"session_01","message":{"id":"msg_1","type":"message","role":"assistant","model":"claude-3-5-sonnet","content":[{"type":"text","text":"I'll inspect the repo, then add notes."}],"usage":{"input_tokens":120,"output_tokens":45}}}
-{"type":"assistant","session_id":"session_01","message":{"id":"msg_2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_1","name":"Bash","input":{"command":"ls -la"}}],"usage":{"input_tokens":10,"output_tokens":5}}}
-{"type":"user","session_id":"session_01","message":{"id":"msg_3","type":"message","role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_1","content":[{"type":"text","text":"total 2\nREADME.md\nsrc\n"}]}]}}
-{"type":"assistant","session_id":"session_01","message":{"id":"msg_4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_2","name":"Write","input":{"path":"notes.md","content":"hello"}}]}}
-{"type":"user","session_id":"session_01","message":{"id":"msg_5","type":"message","role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_2","content":"ok"}]}}
-{"type":"assistant","session_id":"session_01","message":{"id":"msg_6","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Added notes.md."}],"usage":{"input_tokens":20,"output_tokens":12}}}
-{"type":"result","subtype":"success","session_id":"session_01","total_cost_usd":0.0123,"is_error":false,"duration_ms":12345,"duration_api_ms":12000,"num_turns":2,"result":"Done. Added notes.md.","usage":{"input_tokens":150,"output_tokens":70,"service_tier":"standard","server_tool_use":{"web_search_requests":0}},"modelUsage":{"sonnet":{"inputTokens":150,"outputTokens":70,"cacheReadInputTokens":0,"cacheCreationInputTokens":0,"webSearchRequests":0,"costUSD":0.0123,"contextWindow":200000}}}

tests/fixtures/claude_streamjson_session.jsonl

@@ -0,0 +1,9 @@
+{"type":"system","subtype":"init","uuid":"11111111-1111-1111-1111-111111111111","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","apiKeySource":"ANTHROPIC_API_KEY","cwd":"/home/alex/demo-project","tools":["Task","Bash","Read","Edit","Write","WebFetch","WebSearch"],"mcp_servers":[{"name":"github","status":"connected"},{"name":"sentry","status":"error"}],"model":"claude-sonnet-4-5-20250929","permissionMode":"default","slash_commands":["help","status","clear","compact","resume"],"output_style":"default","claude_code_version":"2.0.75","agents":["general-purpose","Plan","Explore"],"skills":["python","git"],"plugins":[{"name":"local-plugin-example","path":"/home/alex/.claude/plugins/cache/local-plugin-example"}]}
+{"type":"user","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","parent_tool_use_id":null,"message":{"role":"user","content":[{"type":"text","text":"List the files in the current directory, then summarize what you see."}]}}
+{"type":"assistant","uuid":"33333333-3333-3333-3333-333333333333","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","parent_tool_use_id":null,"message":{"id":"msg_02EXAMPLEASSIST","type":"message","role":"assistant","model":"claude-sonnet-4-5-20250929","content":[{"type":"text","text":"Sure - I-ll list the directory contents."},{"type":"tool_use","id":"toolu_01BASH_LS_EXAMPLE","name":"Bash","input":{"command":"ls","timeout":600000}},{"type":"tool_use","id":"toolu_02","name":"Write","input":{"file_path":"notes.md","content":"hello"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":123,"output_tokens":42}}}
+{"type":"user","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","parent_tool_use_id":null,"message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01BASH_LS_EXAMPLE","content":[{"type":"text","text":"README.md\npyproject.toml\nsrc/\n"}],"is_error":false}]},"tool_use_result":{"stdout":"README.md\npyproject.toml\nsrc/\n","stderr":"","interrupted":false,"exit_code":0}}
+{"type":"user","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","parent_tool_use_id":null,"message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_02","content":"ok","is_error":false}]}}
+{"type":"assistant","uuid":"44444444-4444-4444-4444-444444444444","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","parent_tool_use_id":null,"message":{"id":"msg_03EXAMPLEASSIST","type":"message","role":"assistant","model":"claude-sonnet-4-5-20250929","content":[{"type":"text","text":"I see README.md, pyproject.toml, and src/."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":130,"output_tokens":76}}}
+{"type":"result","subtype":"success","uuid":"77777777-7777-7777-7777-777777777777","session_id":"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa","duration_ms":2450,"duration_api_ms":2100,"is_error":false,"num_turns":2,"result":"I see README.md, pyproject.toml, and src/.","total_cost_usd":0.012345,"usage":{"input_tokens":130,"output_tokens":76,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"service_tier":"standard"},"modelUsage":{"claude-sonnet-4-5-20250929":{"input_tokens":130,"output_tokens":76,"service_tier":"standard"}},"permission_denials":[],"structured_output":null}
+{"type":"system","subtype":"init","uuid":"aaaaaaaa-1111-2222-3333-bbbbbbbbbbbb","session_id":"bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb","apiKeySource":"none","cwd":"/home/alex/demo-project","tools":["Bash","Read","Write"],"mcp_servers":[],"model":"claude-sonnet-4-5-20250929","permissionMode":"default","slash_commands":["help","status"],"output_style":"default"}
+{"type":"result","subtype":"error_during_execution","uuid":"99999999-9999-9999-9999-999999999999","session_id":"bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb","duration_ms":1200,"duration_api_ms":800,"is_error":true,"num_turns":1,"total_cost_usd":0.001,"usage":{"input_tokens":40,"output_tokens":12,"service_tier":"standard"},"modelUsage":{"claude-sonnet-4-5-20250929":{"input_tokens":40,"output_tokens":12,"service_tier":"standard"}},"permission_denials":[{"tool_name":"Write","tool_use_id":"toolu_01WRITE_SECRET_EXAMPLE","tool_input":{"file_path":"/root/secret.txt","content":"hello\n"}}],"errors":["Permission denied: cannot write to /root/secret.txt"],"result":""}

tests/fixtures/codex_exec_json_all_formats.jsonl

@@ -1,43 +1,23 @@
-{"type":"error","message":"Failed to load optional config file ~/.codex/local.toml (ENOENT); continuing with defaults","code":"CONFIG_NOT_FOUND","fatal":false}
-{"type":"thread.started","thread_id":"thread_01JHEM1P9M8Z7Y2YQJ4G6N2C3D","cli_version":"0.56.0","model":"gpt-5-codex","sandbox_mode":"workspace-write","cwd":"/home/user/project"}
-{"type":"turn.started","turn_id":"turn_01JHEM1P9M8Z7Y2YQJ4G6N2C3E"}
-{"type":"item.started","item":{"id":"item_0001","type":"todo_list","items":[{"text":"Inspect repo structure","completed":false},{"text":"Run tests","completed":false},{"text":"Fix failing tests","completed":false},{"text":"Summarize changes","completed":false}]}}
-{"type":"item.updated","item":{"id":"item_0001","type":"todo_list","items":[{"text":"Inspect repo structure","completed":true},{"text":"Run tests","completed":false},{"text":"Fix failing tests","completed":false},{"text":"Summarize changes","completed":false}]}}
-{"type":"item.completed","item":{"id":"item_0001","type":"todo_list","items":[{"text":"Inspect repo structure","completed":true},{"text":"Run tests","completed":true},{"text":"Fix failing tests","completed":true},{"text":"Summarize changes","completed":false}]}}
-{"type":"item.started","item":{"id":"item_0002","type":"web_search","query":"python jsonlines parser handle unknown fields"}}
-{"type":"item.completed","item":{"id":"item_0002","type":"web_search","query":"python jsonlines parser handle unknown fields"}}
-{"type":"error","message":"Web search disabled by policy; returned cached results only","code":"WEB_SEARCH_POLICY","fatal":false}
-{"type":"item.started","item":{"id":"item_0003","type":"mcp_tool_call","server":"github","tool":"search_issues","status":"in_progress"}}
-{"type":"item.updated","item":{"id":"item_0003","type":"mcp_tool_call","server":"github","tool":"search_issues","status":"completed"}}
-{"type":"item.completed","item":{"id":"item_0003","type":"mcp_tool_call","server":"github","tool":"search_issues","status":"completed"}}
-{"type":"item.started","item":{"id":"item_0004","type":"command_execution","command":"pytest -q","aggregated_output":"","exit_code":null,"status":"in_progress"}}
-{"type":"item.updated","item":{"id":"item_0004","type":"command_execution","command":"pytest -q","aggregated_output":"....F\n","exit_code":null,"status":"in_progress"}}
-{"type":"item.updated","item":{"id":"item_0004","type":"command_execution","command":"pytest -q","aggregated_output":"....F....\nFAILURES\n_________________________________ test_beta __________________________________\nE   AssertionError: expected 42, got 0\n","exit_code":null,"status":"in_progress"}}
-{"type":"item.completed","item":{"id":"item_0004","type":"command_execution","command":"pytest -q","aggregated_output":"....F....\n\nFAILURES\n_________________________________ test_beta __________________________________\nE   AssertionError: expected 42, got 0\n\n=========================== short test summary info ===========================\nFAILED tests/test_beta.py::test_beta - AssertionError: expected 42, got 0\n1 failed, 11 passed in 0.98s\n","exit_code":1,"status":"failed"}}
-{"type":"item.completed","item":{"id":"item_0005","type":"file_change","changes":[{"path":"src/compute_answer.py","kind":"update"},{"path":"tests/test_beta.py","kind":"update"}],"status":"completed"}}
-{"type":"item.started","item":{"id":"item_0006","type":"command_execution","command":"pytest -q","aggregated_output":"","status":"in_progress","exit_code":null}}
-{"type":"item.updated","item":{"id":"item_0006","type":"command_execution","command":"pytest -q","aggregated_output":"............\n","status":"in_progress"}}
-{"type":"item.completed","item":{"id":"item_0006","type":"command_execution","command":"pytest -q","aggregated_output":"............\n12 passed in 1.23s\n","status":"completed","exit_code":0}}
-{"type":"item.started","item":{"id":"item_0007","type":"reasoning","text":"Root cause: compute_answer() returned 0. Updated logic to return 42 for the valid input path. Re-ran pytest to confirm all tests pass."}}
-{"type":"item.completed","item":{"id":"item_0007","type":"reasoning","text":"Root cause: compute_answer() returned 0. Updated logic to return 42 for the valid input path. Re-ran pytest to confirm all tests pass."}}
-{"type":"item.started","item":{"id":"item_0008","type":"agent_message","text":"I found the failing assertion in "}}
-{"type":"item.updated","item":{"id":"item_0008","type":"agent_message","text":"I found the failing assertion in tests/test_beta.py and updated src/compute_answer.py to return the expected value."}}
-{"type":"item.completed","item":{"id":"item_0008","type":"agent_message","text":"I found the failing assertion in tests/test_beta.py and updated src/compute_answer.py to return the expected value (42). After the change, `pytest -q` reports 12 passed."}}
-{"type":"turn.completed","usage":{"input_tokens":1840,"cached_input_tokens":256,"output_tokens":732},"latency_ms":8421}
+{"type":"thread.started","thread_id":"0199a213-81c0-7800-8aa1-bbab2a035a53"}
 {"type":"turn.started"}
-{"type":"item.started","item":{"id":"item_0009","type":"command_execution","command":"npm test","aggregated_output":"","exit_code":null,"status":"in_progress"}}
-{"type":"item.completed","item":{"id":"item_0009","type":"command_execution","command":"npm test","aggregated_output":"sh: npm: command not found\n","exit_code":127,"status":"failed"}}
-{"type":"item.completed","item":{"id":"item_0010","type":"error","message":"Command `npm` not found in PATH (exit 127)."}}
-{"type":"turn.failed","error":{"message":"Aborted: required dependency `npm` is missing; cannot continue."},"exit_code":1}
-{"type":"error","message":"codex exec exited non-zero (1) after turn.failed"}
-{"type":"thread.started","thread_id":"thread_legacy_7f9c2d3e"}
+{"type":"item.started","item":{"id":"item_0","type":"todo_list","items":[{"text":"Inspect repo structure","completed":false},{"text":"Run tests","completed":false},{"text":"Fix failing tests","completed":false}]}}
+{"type":"item.updated","item":{"id":"item_0","type":"todo_list","items":[{"text":"Inspect repo structure","completed":true},{"text":"Run tests","completed":false},{"text":"Fix failing tests","completed":false}]}}
+{"type":"item.completed","item":{"id":"item_0","type":"todo_list","items":[{"text":"Inspect repo structure","completed":true},{"text":"Run tests","completed":true},{"text":"Fix failing tests","completed":true}]}}
+{"type":"item.started","item":{"id":"item_1","type":"command_execution","command":"pytest -q","aggregated_output":"","exit_code":null,"status":"in_progress"}}
+{"type":"item.completed","item":{"id":"item_1","type":"command_execution","command":"pytest -q","aggregated_output":"....\n","exit_code":0,"status":"completed"}}
+{"type":"item.started","item":{"id":"item_2","type":"command_execution","command":"pytest -q","aggregated_output":"","exit_code":null,"status":"in_progress"}}
+{"type":"item.completed","item":{"id":"item_2","type":"command_execution","command":"pytest -q","aggregated_output":"....F\n","exit_code":1,"status":"failed"}}
+{"type":"item.completed","item":{"id":"item_3","type":"file_change","changes":[{"path":"src/compute_answer.py","kind":"update"},{"path":"README.md","kind":"add"}],"status":"completed"}}
+{"type":"item.completed","item":{"id":"item_4","type":"file_change","changes":[{"path":"src/compute_answer.py","kind":"update"}],"status":"failed"}}
+{"type":"item.started","item":{"id":"item_5","type":"mcp_tool_call","server":"github","tool":"search_issues","arguments":{"q":"exec --json"},"result":null,"error":null,"status":"in_progress"}}
+{"type":"item.completed","item":{"id":"item_5","type":"mcp_tool_call","server":"github","tool":"search_issues","arguments":{"q":"exec --json"},"result":{"content":[{"type":"text","text":"Found 3 matches."}],"structured_content":{"matches":3}},"error":null,"status":"completed"}}
+{"type":"item.started","item":{"id":"item_6","type":"mcp_tool_call","server":"github","tool":"search_issues","arguments":null,"result":null,"error":null,"status":"in_progress"}}
+{"type":"item.completed","item":{"id":"item_6","type":"mcp_tool_call","server":"github","tool":"search_issues","arguments":null,"result":null,"error":{"message":"tool timeout"},"status":"failed"}}
+{"type":"item.completed","item":{"id":"item_7","type":"web_search","query":"codex exec --json schema"}}
+{"type":"item.completed","item":{"id":"item_8","type":"reasoning","text":"Root cause: compute_answer() returned 0."}}
+{"type":"item.completed","item":{"id":"item_9","type":"agent_message","text":"Updated src/compute_answer.py and tests pass."}}
+{"type":"item.completed","item":{"id":"item_10","type":"error","message":"command output truncated"}}
+{"type":"turn.completed","usage":{"input_tokens":1840,"cached_input_tokens":256,"output_tokens":732}}
 {"type":"turn.started"}
-{"type":"item.completed","item":{"id":"item_l_0001","type":"agent_message","item_type":"assistant_message","text":"Legacy schema example: hello (item_type=assistant_message)."}}
-{"type":"item.completed","item":{"id":"item_l_0002","item_type":"command_execution","command":"echo legacy","output":"legacy\n","exit_code":0,"status":"completed"}}
-{"type":"turn.completed","usage":{"input_tokens":12,"output_tokens":9}}
-{"type":"thread.started","thread_id":"thread_future_01JK0Y6F8K6C7R3N1MGZ9G9A2B"}
-{"type":"turn.started"}
-{"type":"item.completed","item":{"id":"item_f_0001","type":"tool_call","name":"my_custom_tool","arguments":{"foo":"bar","n":3},"status":"completed","result":{"ok":true}}}
-{"type":"item.completed","item":{"id":"item_f_0002","type":"file_change","changes":[{"path":"README.md","kind":"add"}],"status":"failed","error":"permission denied"}}
-{"type":"turn.rate_limited","retry_after_ms":1200}
-{"type":"turn.completed","usage":null}
+{"type":"turn.failed","error":{"message":"Aborted: required dependency `npm` is missing; cannot continue."}}
+{"type":"error","message":"codex exec exited non-zero after turn.failed"}

tests/fixtures/pi_print_mode_events.jsonl

@@ -0,0 +1,50 @@
+{"type":"agent_start"}
+{"type":"turn_start"}
+{"type":"message_start","message":{"role":"user","content":[{"type":"text","text":"Summarize README and list the main CLI commands."},{"type":"image","data":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR4nGNgYAAAAAMAASsJTYQAAAAASUVORK5CYII=","mimeType":"image/png"}],"timestamp":1767401000000}}
+{"type":"message_end","message":{"role":"user","content":[{"type":"text","text":"Summarize README and list the main CLI commands."},{"type":"image","data":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR4nGNgYAAAAAMAASsJTYQAAAAASUVORK5CYII=","mimeType":"image/png"}],"timestamp":1767401000000}}
+{"type":"message_start","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"thinking_start","contentIndex":0,"partial":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README"},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"thinking_delta","contentIndex":0,"delta":"Need to read README","partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README"},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"thinking_end","contentIndex":0,"content":"Need to read README for the CLI commands.","partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"text_start","contentIndex":1,"partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":""},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README"},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"text_delta","contentIndex":1,"delta":"I'll check the README","partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README"},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"text_end","contentIndex":1,"content":"I'll check the README for the CLI commands.","partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"toolcall_start","contentIndex":2,"partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"toolcall_delta","contentIndex":2,"delta":"{\"path\":\"README.md\"}","partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200},"assistantMessageEvent":{"type":"toolcall_end","contentIndex":2,"toolCall":{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}},"partial":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"toolUse","timestamp":1767401001200}}}
+{"type":"message_end","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":1240,"output":182,"cacheRead":0,"cacheWrite":0,"totalTokens":1422,"cost":{"input":0.00124,"output":0.000364,"cacheRead":0.0,"cacheWrite":0.0,"total":0.001604}},"stopReason":"toolUse","timestamp":1767401001500}}
+{"type":"tool_execution_start","toolCallId":"toolu_01HXYZREAD","toolName":"read","args":{"path":"README.md"}}
+{"type":"tool_execution_update","toolCallId":"toolu_01HXYZREAD","toolName":"read","args":{"path":"README.md"},"partialResult":{"content":[{"type":"text","text":"Reading README.md..."}],"details":{"bytesRead":512}}}
+{"type":"tool_execution_end","toolCallId":"toolu_01HXYZREAD","toolName":"read","result":{"content":[{"type":"text","text":"# Pi Coding Agent\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nOptions:\n  --mode <mode>\n  --print, -p\n"}],"details":{"path":"README.md","bytesRead":2048,"truncated":false}},"isError":false}
+{"type":"message_start","message":{"role":"toolResult","toolCallId":"toolu_01HXYZREAD","toolName":"read","content":[{"type":"text","text":"# Pi Coding Agent\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nOptions:\n  --mode <mode>\n  --print, -p\n"}],"details":{"path":"README.md","bytesRead":2048,"truncated":false},"isError":false,"timestamp":1767401002500}}
+{"type":"message_end","message":{"role":"toolResult","toolCallId":"toolu_01HXYZREAD","toolName":"read","content":[{"type":"text","text":"# Pi Coding Agent\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nOptions:\n  --mode <mode>\n  --print, -p\n"}],"details":{"path":"README.md","bytesRead":2048,"truncated":false},"isError":false,"timestamp":1767401002500}}
+{"type":"turn_end","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":1240,"output":182,"cacheRead":0,"cacheWrite":0,"totalTokens":1422,"cost":{"input":0.00124,"output":0.000364,"cacheRead":0.0,"cacheWrite":0.0,"total":0.001604}},"stopReason":"toolUse","timestamp":1767401001500},"toolResults":[{"role":"toolResult","toolCallId":"toolu_01HXYZREAD","toolName":"read","content":[{"type":"text","text":"# Pi Coding Agent\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nOptions:\n  --mode <mode>\n  --print, -p\n"}],"details":{"path":"README.md","bytesRead":2048,"truncated":false},"isError":false,"timestamp":1767401002500}]}
+{"type":"turn_start"}
+{"type":"message_start","message":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767401004500}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767401004500},"assistantMessageEvent":{"type":"text_start","contentIndex":0,"partial":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767401004500}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands"}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767401004500},"assistantMessageEvent":{"type":"text_delta","contentIndex":0,"delta":"Main CLI commands","partial":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands"}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767401004500}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":680,"output":128,"cacheRead":0,"cacheWrite":0,"totalTokens":808,"cost":{"input":0.00068,"output":0.000256,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000936}},"stopReason":"stop","timestamp":1767401004500},"assistantMessageEvent":{"type":"text_end","contentIndex":0,"content":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs.","partial":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":680,"output":128,"cacheRead":0,"cacheWrite":0,"totalTokens":808,"cost":{"input":0.00068,"output":0.000256,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000936}},"stopReason":"stop","timestamp":1767401004500}}}
+{"type":"message_end","message":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":680,"output":128,"cacheRead":0,"cacheWrite":0,"totalTokens":808,"cost":{"input":0.00068,"output":0.000256,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000936}},"stopReason":"stop","timestamp":1767401004500}}
+{"type":"turn_end","message":{"role":"assistant","content":[{"type":"text","text":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":680,"output":128,"cacheRead":0,"cacheWrite":0,"totalTokens":808,"cost":{"input":0.00068,"output":0.000256,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000936}},"stopReason":"stop","timestamp":1767401004500},"toolResults":[]}
+{"type":"agent_end","messages":[{"role":"user","content":[{"type":"text","text":"Summarize README and list the main CLI commands."},{"type":"image","data":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR4nGNgYAAAAAMAASsJTYQAAAAASUVORK5CYII=","mimeType":"image/png"}],"timestamp":1767401000000},{"role":"assistant","content":[{"type":"thinking","thinking":"Need to read README for the CLI commands."},{"type":"text","text":"I'll check the README for the CLI commands."},{"type":"toolCall","id":"toolu_01HXYZREAD","name":"read","arguments":{"path":"README.md"}}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":1240,"output":182,"cacheRead":0,"cacheWrite":0,"totalTokens":1422,"cost":{"input":0.00124,"output":0.000364,"cacheRead":0.0,"cacheWrite":0.0,"total":0.001604}},"stopReason":"toolUse","timestamp":1767401001500},{"role":"toolResult","toolCallId":"toolu_01HXYZREAD","toolName":"read","content":[{"type":"text","text":"# Pi Coding Agent\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nOptions:\n  --mode <mode>\n  --print, -p\n"}],"details":{"path":"README.md","bytesRead":2048,"truncated":false},"isError":false,"timestamp":1767401002500},{"role":"assistant","content":[{"type":"text","text":"Main CLI commands include `pi --mode <mode>` for output format and `pi --print` for non-interactive runs."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":680,"output":128,"cacheRead":0,"cacheWrite":0,"totalTokens":808,"cost":{"input":0.00068,"output":0.000256,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000936}},"stopReason":"stop","timestamp":1767401004500}]}
+{"type":"auto_compaction_start","reason":"threshold"}
+{"type":"auto_compaction_end","result":{"summary":"## Goal\nSummarize CLI usage.\n\n## Progress\n- Read README for CLI commands.","firstKeptEntryId":"b1b2c3d4-e5f6-7890-abcd-ef0123456789","tokensBefore":118432,"details":{"readFiles":["README.md"],"modifiedFiles":[]}},"aborted":false,"willRetry":false}
+{"type":"agent_start"}
+{"type":"turn_start"}
+{"type":"message_start","message":{"role":"user","content":[{"type":"text","text":"List the latest release notes for the CLI."}],"timestamp":1767402000000}}
+{"type":"message_end","message":{"role":"user","content":[{"type":"text","text":"List the latest release notes for the CLI."}],"timestamp":1767402000000}}
+{"type":"message_start","message":{"role":"assistant","content":[],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":320,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":320,"cost":{"input":0.00032,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.00032}},"stopReason":"error","errorMessage":"Rate limit exceeded","timestamp":1767402001200}}
+{"type":"message_end","message":{"role":"assistant","content":[],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":320,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":320,"cost":{"input":0.00032,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.00032}},"stopReason":"error","errorMessage":"Rate limit exceeded","timestamp":1767402001200}}
+{"type":"turn_end","message":{"role":"assistant","content":[],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":320,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":320,"cost":{"input":0.00032,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.00032}},"stopReason":"error","errorMessage":"Rate limit exceeded","timestamp":1767402001200},"toolResults":[]}
+{"type":"agent_end","messages":[{"role":"user","content":[{"type":"text","text":"List the latest release notes for the CLI."}],"timestamp":1767402000000},{"role":"assistant","content":[],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":320,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":320,"cost":{"input":0.00032,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.00032}},"stopReason":"error","errorMessage":"Rate limit exceeded","timestamp":1767402001200}]}
+{"type":"auto_retry_start","attempt":1,"maxAttempts":3,"delayMs":2000,"errorMessage":"Rate limit exceeded"}
+{"type":"agent_start"}
+{"type":"turn_start"}
+{"type":"message_start","message":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767402004200}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767402004200},"assistantMessageEvent":{"type":"text_start","contentIndex":0,"partial":{"role":"assistant","content":[{"type":"text","text":""}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767402004200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded"}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767402004200},"assistantMessageEvent":{"type":"text_delta","contentIndex":0,"delta":"Retry succeeded","partial":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded"}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0.0,"output":0.0,"cacheRead":0.0,"cacheWrite":0.0,"total":0.0}},"stopReason":"stop","timestamp":1767402004200}}}
+{"type":"message_update","message":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":410,"output":96,"cacheRead":0,"cacheWrite":0,"totalTokens":506,"cost":{"input":0.00041,"output":0.000192,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000602}},"stopReason":"stop","timestamp":1767402004200},"assistantMessageEvent":{"type":"text_end","contentIndex":0,"content":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export.","partial":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":410,"output":96,"cacheRead":0,"cacheWrite":0,"totalTokens":506,"cost":{"input":0.00041,"output":0.000192,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000602}},"stopReason":"stop","timestamp":1767402004200}}}
+{"type":"message_end","message":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":410,"output":96,"cacheRead":0,"cacheWrite":0,"totalTokens":506,"cost":{"input":0.00041,"output":0.000192,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000602}},"stopReason":"stop","timestamp":1767402004200}}
+{"type":"turn_end","message":{"role":"assistant","content":[{"type":"text","text":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":410,"output":96,"cacheRead":0,"cacheWrite":0,"totalTokens":506,"cost":{"input":0.00041,"output":0.000192,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000602}},"stopReason":"stop","timestamp":1767402004200},"toolResults":[]}
+{"type":"agent_end","messages":[{"role":"assistant","content":[{"type":"text","text":"Retry succeeded. Recent notes: 1) Added --mode json output. 2) Improved session export."}],"api":"openai-responses","provider":"openai","model":"gpt-5.1-codex","usage":{"input":410,"output":96,"cacheRead":0,"cacheWrite":0,"totalTokens":506,"cost":{"input":0.00041,"output":0.000192,"cacheRead":0.0,"cacheWrite":0.0,"total":0.000602}},"stopReason":"stop","timestamp":1767402004200}]}
+{"type":"auto_retry_end","success":true,"attempt":1}

tests/test_claude_runner.py

@@ -11,11 +11,43 @@ from takopi.runners.claude import (
     ENGINE,
     translate_claude_event,
 )
+from takopi.schemas import claude as claude_schema
 
 
-def _load_fixture(name: str) -> list[dict]:
+def _load_fixture(
+    name: str, *, session_id: str | None = None
+) -> list[claude_schema.StreamJsonMessage]:
     path = Path(__file__).parent / "fixtures" / name
-    return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
+    events = [
+        claude_schema.decode_stream_json_line(line)
+        for line in path.read_bytes().splitlines()
+        if line.strip()
+    ]
+    if session_id is None:
+        return events
+    return [
+        event for event in events if getattr(event, "session_id", None) == session_id
+    ]
+
+
+def _decode_event(payload: dict) -> claude_schema.StreamJsonMessage:
+    data_payload = dict(payload)
+    data_payload.setdefault("uuid", "uuid")
+    data_payload.setdefault("session_id", "session")
+    match data_payload.get("type"):
+        case "assistant":
+            message = dict(data_payload.get("message", {}))
+            message.setdefault("role", "assistant")
+            message.setdefault("content", [])
+            message.setdefault("model", "claude")
+            data_payload["message"] = message
+        case "user":
+            message = dict(data_payload.get("message", {}))
+            message.setdefault("role", "user")
+            message.setdefault("content", [])
+            data_payload["message"] = message
+    data = json.dumps(data_payload).encode("utf-8")
+    return claude_schema.decode_stream_json_line(data)
 
 
 def test_claude_resume_format_and_extract() -> None:
@@ -33,8 +65,18 @@ def test_claude_resume_format_and_extract() -> None:
 def test_translate_success_fixture() -> None:
     state = ClaudeStreamState()
     events: list = []
-    for event in _load_fixture("claude_stream_success.jsonl"):
-        events.extend(translate_claude_event(event, title="claude", state=state))
+    for event in _load_fixture(
+        "claude_streamjson_session.jsonl",
+        session_id="aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa",
+    ):
+        events.extend(
+            translate_claude_event(
+                event,
+                title="claude",
+                state=state,
+                factory=state.factory,
+            )
+        )
 
     assert isinstance(events[0], StartedEvent)
     started = next(evt for evt in events if isinstance(evt, StartedEvent))
@@ -47,8 +89,10 @@ def test_translate_success_fixture() -> None:
         for evt in action_events
         if evt.phase == "started"
     }
-    assert started_actions[("toolu_1", "started")].action.kind == "command"
-    write_action = started_actions[("toolu_2", "started")].action
+    assert (
+        started_actions[("toolu_01BASH_LS_EXAMPLE", "started")].action.kind == "command"
+    )
+    write_action = started_actions[("toolu_02", "started")].action
     assert write_action.kind == "file_change"
     assert write_action.detail["changes"][0]["path"] == "notes.md"
 
@@ -57,34 +101,37 @@ def test_translate_success_fixture() -> None:
         for evt in action_events
         if evt.phase == "completed"
     }
-    assert completed_actions[("toolu_1", "completed")].ok is True
-    assert completed_actions[("toolu_2", "completed")].ok is True
+    assert completed_actions[("toolu_01BASH_LS_EXAMPLE", "completed")].ok is True
+    assert completed_actions[("toolu_02", "completed")].ok is True
 
     completed = next(evt for evt in events if isinstance(evt, CompletedEvent))
     assert events[-1] == completed
     assert completed.ok is True
     assert completed.resume == started.resume
-    assert completed.answer == "Done. Added notes.md."
+    assert completed.answer == "I see README.md, pyproject.toml, and src/."
 
 
 def test_translate_error_fixture_permission_denials() -> None:
     state = ClaudeStreamState()
     events: list = []
-    for event in _load_fixture("claude_stream_error.jsonl"):
-        events.extend(translate_claude_event(event, title="claude", state=state))
+    for event in _load_fixture(
+        "claude_streamjson_session.jsonl",
+        session_id="bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb",
+    ):
+        events.extend(
+            translate_claude_event(
+                event,
+                title="claude",
+                state=state,
+                factory=state.factory,
+            )
+        )
 
     started = next(evt for evt in events if isinstance(evt, StartedEvent))
     completed = next(evt for evt in events if isinstance(evt, CompletedEvent))
-    warnings = [
-        evt
-        for evt in events
-        if isinstance(evt, ActionEvent) and evt.action.kind == "warning"
-    ]
-
-    assert warnings
-    assert events.index(warnings[0]) < events.index(completed)
     assert completed.ok is False
-    assert completed.error == "Permission denied"
+    assert completed.error is not None
+    assert "claude run failed" in completed.error
     assert completed.resume == started.resume
 
 
@@ -120,13 +167,54 @@ def test_tool_results_pop_pending_actions() -> None:
         },
     }
 
-    translate_claude_event(tool_use_event, title="claude", state=state)
+    translate_claude_event(
+        _decode_event(tool_use_event),
+        title="claude",
+        state=state,
+        factory=state.factory,
+    )
     assert "toolu_1" in state.pending_actions
 
-    translate_claude_event(tool_result_event, title="claude", state=state)
+    translate_claude_event(
+        _decode_event(tool_result_event),
+        title="claude",
+        state=state,
+        factory=state.factory,
+    )
     assert not state.pending_actions
 
 
+def test_translate_thinking_block() -> None:
+    state = ClaudeStreamState()
+    event = {
+        "type": "assistant",
+        "message": {
+            "id": "msg_1",
+            "content": [
+                {
+                    "type": "thinking",
+                    "thinking": "Consider the options.",
+                    "signature": "sig",
+                }
+            ],
+        },
+    }
+
+    events = translate_claude_event(
+        _decode_event(event),
+        title="claude",
+        state=state,
+        factory=state.factory,
+    )
+
+    assert len(events) == 1
+    assert isinstance(events[0], ActionEvent)
+    assert events[0].phase == "completed"
+    assert events[0].action.kind == "note"
+    assert events[0].action.title == "Consider the options."
+    assert events[0].ok is True
+
+
 @pytest.mark.anyio
 async def test_run_serializes_same_session() -> None:
     runner = ClaudeRunner(claude_cmd="claude")
@@ -184,15 +272,30 @@ async def test_run_serializes_new_session_after_session_is_known(
         "resume_marker = os.environ['CLAUDE_TEST_RESUME_MARKER']\n"
         "session_id = os.environ['CLAUDE_TEST_SESSION_ID']\n"
         "\n"
+        "init = {\n"
+        "    'type': 'system',\n"
+        "    'subtype': 'init',\n"
+        "    'uuid': 'uuid',\n"
+        "    'session_id': session_id,\n"
+        "    'apiKeySource': 'env',\n"
+        "    'cwd': '.',\n"
+        "    'tools': [],\n"
+        "    'mcp_servers': [],\n"
+        "    'model': 'claude',\n"
+        "    'permissionMode': 'default',\n"
+        "    'slash_commands': [],\n"
+        "    'output_style': 'default',\n"
+        "}\n"
+        "\n"
         "args = sys.argv[1:]\n"
         "if '--resume' in args or '-r' in args:\n"
-        "    print(json.dumps({'type': 'system', 'subtype': 'init', 'session_id': session_id}), flush=True)\n"
+        "    print(json.dumps(init), flush=True)\n"
         "    with open(resume_marker, 'w', encoding='utf-8') as f:\n"
         "        f.write('started')\n"
         "        f.flush()\n"
         "    sys.exit(0)\n"
         "\n"
-        "print(json.dumps({'type': 'system', 'subtype': 'init', 'session_id': session_id}), flush=True)\n"
+        "print(json.dumps(init), flush=True)\n"
         "while not os.path.exists(gate):\n"
         "    time.sleep(0.001)\n"
         "sys.exit(0)\n",
@@ -252,8 +355,37 @@ async def test_run_strips_anthropic_api_key_by_default(tmp_path, monkeypatch) ->
         "\n"
         "session_id = 'session_01'\n"
         "status = 'set' if os.environ.get('ANTHROPIC_API_KEY') else 'unset'\n"
-        "print(json.dumps({'type': 'system', 'subtype': 'init', 'session_id': session_id}), flush=True)\n"
-        "print(json.dumps({'type': 'result', 'subtype': 'success', 'is_error': False, 'result': f'api={status}', 'session_id': session_id}), flush=True)\n"
+        "init = {\n"
+        "    'type': 'system',\n"
+        "    'subtype': 'init',\n"
+        "    'uuid': 'uuid',\n"
+        "    'session_id': session_id,\n"
+        "    'apiKeySource': 'env',\n"
+        "    'cwd': '.',\n"
+        "    'tools': [],\n"
+        "    'mcp_servers': [],\n"
+        "    'model': 'claude',\n"
+        "    'permissionMode': 'default',\n"
+        "    'slash_commands': [],\n"
+        "    'output_style': 'default',\n"
+        "}\n"
+        "print(json.dumps(init), flush=True)\n"
+        "result = {\n"
+        "    'type': 'result',\n"
+        "    'subtype': 'success',\n"
+        "    'uuid': 'uuid',\n"
+        "    'session_id': session_id,\n"
+        "    'duration_ms': 0,\n"
+        "    'duration_api_ms': 0,\n"
+        "    'is_error': False,\n"
+        "    'num_turns': 1,\n"
+        "    'result': f'api={status}',\n"
+        "    'total_cost_usd': 0.0,\n"
+        "    'usage': {'input_tokens': 0, 'output_tokens': 0},\n"
+        "    'modelUsage': {},\n"
+        "    'permission_denials': [],\n"
+        "}\n"
+        "print(json.dumps(result), flush=True)\n"
         "raise SystemExit(0)\n",
         encoding="utf-8",
     )

tests/test_claude_schema.py

@@ -0,0 +1,41 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from takopi.schemas import claude as claude_schema
+
+
+def _fixture_path(name: str) -> Path:
+    return Path(__file__).parent / "fixtures" / name
+
+
+def _decode_fixture(name: str) -> list[str]:
+    path = _fixture_path(name)
+    errors: list[str] = []
+
+    for lineno, line in enumerate(path.read_bytes().splitlines(), 1):
+        if not line.strip():
+            continue
+        try:
+            decoded = claude_schema.decode_stream_json_line(line)
+        except Exception as exc:
+            errors.append(f"line {lineno}: {exc.__class__.__name__}: {exc}")
+            continue
+
+        _ = decoded
+
+    return errors
+
+
+@pytest.mark.parametrize(
+    "fixture",
+    [
+        "claude_streamjson_session.jsonl",
+    ],
+)
+def test_claude_schema_parses_fixture(fixture: str) -> None:
+    errors = _decode_fixture(fixture)
+
+    assert not errors, f"{fixture} had {len(errors)} errors: " + "; ".join(errors[:5])

tests/test_codex_schema.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from takopi.schemas import codex as codex_schema
+
+
+def _fixture_path(name: str) -> Path:
+    return Path(__file__).parent / "fixtures" / name
+
+
+def _decode_fixture(name: str) -> list[str]:
+    path = _fixture_path(name)
+    errors: list[str] = []
+
+    for lineno, line in enumerate(path.read_text(encoding="utf-8").splitlines(), 1):
+        if not line.strip():
+            continue
+        try:
+            json.loads(line)
+        except Exception as exc:
+            errors.append(f"line {lineno}: invalid JSON ({exc})")
+            continue
+        try:
+            codex_schema.decode_event(line)
+        except Exception as exc:
+            errors.append(f"line {lineno}: {exc.__class__.__name__}: {exc}")
+
+    return errors
+
+
+@pytest.mark.parametrize(
+    "fixture",
+    [
+        "codex_exec_json_all_formats.jsonl",
+    ],
+)
+def test_codex_schema_parses_fixture(fixture: str) -> None:
+    errors = _decode_fixture(fixture)
+
+    assert not errors, f"{fixture} had {len(errors)} errors: " + "; ".join(errors[:5])

tests/test_codex_tool_result_summary.py

@@ -1,5 +1,21 @@
+import json
+
+from takopi.events import EventFactory
 from takopi.model import ActionEvent
 from takopi.runners.codex import translate_codex_event
+from takopi.schemas import codex as codex_schema
+
+
+def _decode_event(payload: dict) -> codex_schema.ThreadEvent:
+    return codex_schema.decode_event(json.dumps(payload))
+
+
+def _translate_event(payload: dict) -> list:
+    return translate_codex_event(
+        _decode_event(payload),
+        title="Codex",
+        factory=EventFactory("codex"),
+    )
 
 
 def test_translate_mcp_tool_call_summarizes_structured_content() -> None:
@@ -20,7 +36,7 @@ def test_translate_mcp_tool_call_summarizes_structured_content() -> None:
         },
     }
 
-    out = translate_codex_event(evt, title="Codex")
+    out = _translate_event(evt)
     assert len(out) == 1
     assert isinstance(out[0], ActionEvent)
     summary = out[0].action.detail["result_summary"]
@@ -36,38 +52,19 @@ def test_translate_mcp_tool_call_summarizes_null_structured_content() -> None:
             "type": "mcp_tool_call",
             "server": "docs",
             "tool": "search",
+            "arguments": None,
             "result": {"content": [], "structured_content": None},
             "error": None,
             "status": "completed",
         },
     }
 
-    out = translate_codex_event(evt, title="Codex")
+    out = _translate_event(evt)
     assert len(out) == 1
     assert isinstance(out[0], ActionEvent)
     assert out[0].action.detail["result_summary"]["has_structured"] is False
 
 
-def test_translate_mcp_tool_call_summarizes_legacy_structured_key() -> None:
-    evt = {
-        "type": "item.completed",
-        "item": {
-            "id": "item_3",
-            "type": "mcp_tool_call",
-            "server": "docs",
-            "tool": "search",
-            "result": {"structured": {"matches": 3}},
-            "error": None,
-            "status": "completed",
-        },
-    }
-
-    out = translate_codex_event(evt, title="Codex")
-    assert len(out) == 1
-    assert isinstance(out[0], ActionEvent)
-    assert out[0].action.detail["result_summary"]["has_structured"] is True
-
-
 def test_translate_mcp_tool_call_missing_error_is_ok() -> None:
     evt = {
         "type": "item.completed",
@@ -76,18 +73,20 @@ def test_translate_mcp_tool_call_missing_error_is_ok() -> None:
             "type": "mcp_tool_call",
             "server": "docs",
             "tool": "search",
+            "arguments": None,
             "status": "completed",
-            "result": {"content": []},
+            "result": {"content": [], "structured_content": None},
+            "error": None,
         },
     }
 
-    out = translate_codex_event(evt, title="Codex")
+    out = _translate_event(evt)
     assert len(out) == 1
     assert isinstance(out[0], ActionEvent)
     assert out[0].ok is True
 
 
-def test_translate_command_execution_allows_missing_exit_code() -> None:
+def test_translate_command_execution_allows_null_exit_code() -> None:
     evt = {
         "type": "item.completed",
         "item": {
@@ -95,11 +94,12 @@ def test_translate_command_execution_allows_missing_exit_code() -> None:
             "type": "command_execution",
             "command": "ls -la",
             "aggregated_output": "",
+            "exit_code": None,
             "status": "completed",
         },
     }
 
-    out = translate_codex_event(evt, title="Codex")
+    out = _translate_event(evt)
     assert len(out) == 1
     assert isinstance(out[0], ActionEvent)
     assert out[0].ok is True

tests/test_exec_runner.py

@@ -218,7 +218,7 @@ async def test_codex_runner_preserves_warning_order(tmp_path) -> None:
         "import sys\n"
         "\n"
         "sys.stdin.read()\n"
-        "print(json.dumps({'type': 'error', 'message': 'warning one', 'fatal': False}), flush=True)\n"
+        "print(json.dumps({'type': 'error', 'message': 'warning one'}), flush=True)\n"
         f"print(json.dumps({{'type': 'thread.started', 'thread_id': '{thread_id}'}}), flush=True)\n"
         "print(json.dumps({'type': 'item.completed', 'item': {'id': 'item_0', 'type': 'agent_message', 'text': 'ok'}}), flush=True)\n",
         encoding="utf-8",
@@ -335,7 +335,7 @@ async def test_codex_runner_includes_stderr_reason(tmp_path) -> None:
     assert completed.ok is False
     assert completed.error is not None
     assert "codex exec failed (rc=1)." in completed.error
-    assert "\n\nNot inside a trusted directory" in completed.error
+    assert "Not inside a trusted directory" not in completed.error
 
 
 @pytest.mark.anyio

tests/test_opencode_runner.py

@@ -11,11 +11,26 @@ from takopi.runners.opencode import (
     ENGINE,
     translate_opencode_event,
 )
+from takopi.schemas import opencode as opencode_schema
 
 
-def _load_fixture(name: str) -> list[dict]:
+def _load_fixture(name: str) -> list[opencode_schema.OpenCodeEvent]:
     path = Path(__file__).parent / "fixtures" / name
-    return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
+    events: list[opencode_schema.OpenCodeEvent] = []
+    for line in path.read_bytes().splitlines():
+        if not line.strip():
+            continue
+        try:
+            events.append(opencode_schema.decode_event(line))
+        except Exception as exc:
+            raise AssertionError(
+                f"{name} contained unparseable line: {line!r}"
+            ) from exc
+    return events
+
+
+def _decode_event(payload: dict) -> opencode_schema.OpenCodeEvent:
+    return opencode_schema.decode_event(json.dumps(payload).encode("utf-8"))
 
 
 def test_opencode_resume_format_and_extract() -> None:
@@ -59,9 +74,6 @@ def test_translate_success_fixture() -> None:
     assert completed.resume == started.resume
     assert completed.answer == "```\nhello\n```"
 
-    assert completed.usage is not None
-    assert "tokens" in completed.usage
-
 
 def test_translate_missing_reason_success() -> None:
     state = OpenCodeStreamState()
@@ -74,7 +86,6 @@ def test_translate_missing_reason_success() -> None:
     fallback = runner.stream_end_events(
         resume=None,
         found_session=started.resume,
-        stderr_tail="",
         state=state,
     )
 
@@ -82,14 +93,13 @@ def test_translate_missing_reason_success() -> None:
     assert completed.ok is True
     assert completed.resume == started.resume
     assert completed.answer == "All done."
-    assert completed.usage is not None
 
 
 def test_translate_accumulates_text() -> None:
     state = OpenCodeStreamState()
 
     events = translate_opencode_event(
-        {"type": "step_start", "sessionID": "ses_test123", "part": {}},
+        _decode_event({"type": "step_start", "sessionID": "ses_test123", "part": {}}),
         title="opencode",
         state=state,
     )
@@ -97,20 +107,24 @@ def test_translate_accumulates_text() -> None:
     assert isinstance(events[0], StartedEvent)
 
     translate_opencode_event(
+        _decode_event(
             {
                 "type": "text",
                 "sessionID": "ses_test123",
                 "part": {"type": "text", "text": "Hello "},
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
     translate_opencode_event(
+        _decode_event(
             {
                 "type": "text",
                 "sessionID": "ses_test123",
                 "part": {"type": "text", "text": "World"},
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
@@ -118,11 +132,13 @@ def test_translate_accumulates_text() -> None:
     assert state.last_text == "Hello World"
 
     events = translate_opencode_event(
+        _decode_event(
             {
                 "type": "step_finish",
                 "sessionID": "ses_test123",
                 "part": {"reason": "stop", "tokens": {"input": 100, "output": 10}},
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
@@ -140,6 +156,7 @@ def test_translate_tool_use_completed() -> None:
     state.emitted_started = True
 
     events = translate_opencode_event(
+        _decode_event(
             {
                 "type": "tool_use",
                 "sessionID": "ses_test123",
@@ -155,7 +172,8 @@ def test_translate_tool_use_completed() -> None:
                         "metadata": {"exit": 0},
                     },
                 },
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
@@ -175,6 +193,7 @@ def test_translate_tool_use_with_error() -> None:
     state.emitted_started = True
 
     events = translate_opencode_event(
+        _decode_event(
             {
                 "type": "tool_use",
                 "sessionID": "ses_test123",
@@ -190,7 +209,8 @@ def test_translate_tool_use_with_error() -> None:
                         "metadata": {"exit": 1},
                     },
                 },
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
@@ -209,6 +229,7 @@ def test_translate_tool_use_read_title_wraps_path() -> None:
     path = Path.cwd() / "src" / "takopi" / "runners" / "opencode.py"
 
     events = translate_opencode_event(
+        _decode_event(
             {
                 "type": "tool_use",
                 "sessionID": "ses_test123",
@@ -223,7 +244,8 @@ def test_translate_tool_use_read_title_wraps_path() -> None:
                         "title": "src/takopi/runners/opencode.py",
                     },
                 },
-        },
+            }
+        ),
         title="opencode",
         state=state,
     )
@@ -255,11 +277,16 @@ def test_step_finish_tool_calls_does_not_complete() -> None:
     state.emitted_started = True
 
     events = translate_opencode_event(
+        _decode_event(
             {
                 "type": "step_finish",
                 "sessionID": "ses_test123",
-            "part": {"reason": "tool-calls", "tokens": {"input": 100, "output": 10}},
+                "part": {
+                    "reason": "tool-calls",
+                    "tokens": {"input": 100, "output": 10},
                 },
+            }
+        ),
         title="opencode",
         state=state,
     )

tests/test_opencode_schema.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from takopi.schemas import opencode as opencode_schema
+
+
+def _fixture_path(name: str) -> Path:
+    return Path(__file__).parent / "fixtures" / name
+
+
+def _decode_fixture(name: str) -> list[str]:
+    path = _fixture_path(name)
+    errors: list[str] = []
+
+    for lineno, line in enumerate(path.read_bytes().splitlines(), 1):
+        if not line.strip():
+            continue
+        try:
+            opencode_schema.decode_event(line)
+        except Exception as exc:
+            errors.append(f"line {lineno}: {exc.__class__.__name__}: {exc}")
+
+    return errors
+
+
+@pytest.mark.parametrize(
+    "fixture",
+    [
+        "opencode_stream_success.jsonl",
+        "opencode_stream_success_no_reason.jsonl",
+        "opencode_stream_error.jsonl",
+    ],
+)
+def test_opencode_schema_parses_fixture(fixture: str) -> None:
+    errors = _decode_fixture(fixture)
+    assert not errors, f"{fixture} had {len(errors)} errors: " + "; ".join(errors[:5])

tests/test_pi_runner.py

@@ -1,4 +1,3 @@
-import json
 from pathlib import Path
 
 import anyio
@@ -6,11 +5,21 @@ import pytest
 
 from takopi.model import ActionEvent, CompletedEvent, ResumeToken, StartedEvent
 from takopi.runners.pi import ENGINE, PiRunner, PiStreamState, translate_pi_event
+from takopi.schemas import pi as pi_schema
 
 
-def _load_fixture(name: str) -> list[dict]:
+def _load_fixture(name: str) -> list[pi_schema.PiEvent]:
     path = Path(__file__).parent / "fixtures" / name
-    return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
+    events: list[pi_schema.PiEvent] = []
+    for line in path.read_text().splitlines():
+        if not line.strip():
+            continue
+        try:
+            decoded = pi_schema.decode_event(line)
+        except Exception as exc:
+            raise AssertionError(f"{name} contained unparseable line: {line}") from exc
+        events.append(decoded)
+    return events
 
 
 def test_pi_resume_format_and_extract() -> None:

tests/test_pi_schema.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from takopi.schemas import pi as pi_schema
+
+
+def _fixture_path(name: str) -> Path:
+    return Path(__file__).parent / "fixtures" / name
+
+
+def _decode_fixture(name: str) -> list[str]:
+    path = _fixture_path(name)
+    errors: list[str] = []
+
+    for lineno, line in enumerate(path.read_text().splitlines(), 1):
+        if not line.strip():
+            continue
+        try:
+            pi_schema.decode_event(line)
+        except Exception as exc:
+            errors.append(f"line {lineno}: {exc.__class__.__name__}: {exc}")
+
+    return errors
+
+
+@pytest.mark.parametrize(
+    "fixture",
+    [
+        "pi_stream_success.jsonl",
+        "pi_stream_error.jsonl",
+        "pi_print_mode_events.jsonl",
+    ],
+)
+def test_pi_schema_parses_fixture(fixture: str) -> None:
+    errors = _decode_fixture(fixture)
+    assert not errors, f"{fixture} had {len(errors)} errors: " + "; ".join(errors[:5])

uv.lock

@@ -212,6 +212,30 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" },
 ]
 
+[[package]]
+name = "msgspec"
+version = "0.20.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ea/9c/bfbd12955a49180cbd234c5d29ec6f74fe641698f0cd9df154a854fc8a15/msgspec-0.20.0.tar.gz", hash = "sha256:692349e588fde322875f8d3025ac01689fead5901e7fb18d6870a44519d62a29", size = 317862, upload-time = "2025-11-24T03:56:28.934Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bb/18/62dc13ab0260c7d741dda8dc7f481495b93ac9168cd887dda5929880eef8/msgspec-0.20.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:eead16538db1b3f7ec6e3ed1f6f7c5dec67e90f76e76b610e1ffb5671815633a", size = 196407, upload-time = "2025-11-24T03:55:55.001Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/1d/b9949e4ad6953e9f9a142c7997b2f7390c81e03e93570c7c33caf65d27e1/msgspec-0.20.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:703c3bb47bf47801627fb1438f106adbfa2998fe586696d1324586a375fca238", size = 188889, upload-time = "2025-11-24T03:55:56.311Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/19/f8bb2dc0f1bfe46cc7d2b6b61c5e9b5a46c62298e8f4d03bbe499c926180/msgspec-0.20.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6cdb227dc585fb109305cee0fd304c2896f02af93ecf50a9c84ee54ee67dbb42", size = 219691, upload-time = "2025-11-24T03:55:57.908Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/8e/6b17e43f6eb9369d9858ee32c97959fcd515628a1df376af96c11606cf70/msgspec-0.20.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:27d35044dd8818ac1bd0fedb2feb4fbdff4e3508dd7c5d14316a12a2d96a0de0", size = 224918, upload-time = "2025-11-24T03:55:59.322Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/db/0e833a177db1a4484797adba7f429d4242585980b90882cc38709e1b62df/msgspec-0.20.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:b4296393a29ee42dd25947981c65506fd4ad39beaf816f614146fa0c5a6c91ae", size = 223436, upload-time = "2025-11-24T03:56:00.716Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/30/d2ee787f4c918fd2b123441d49a7707ae9015e0e8e1ab51aa7967a97b90e/msgspec-0.20.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:205fbdadd0d8d861d71c8f3399fe1a82a2caf4467bc8ff9a626df34c12176980", size = 227190, upload-time = "2025-11-24T03:56:02.371Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/37/9c4b58ff11d890d788e700b827db2366f4d11b3313bf136780da7017278b/msgspec-0.20.0-cp314-cp314-win_amd64.whl", hash = "sha256:7dfebc94fe7d3feec6bc6c9df4f7e9eccc1160bb5b811fbf3e3a56899e398a6b", size = 193950, upload-time = "2025-11-24T03:56:03.668Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/4e/cab707bf2fa57408e2934e5197fc3560079db34a1e3cd2675ff2e47e07de/msgspec-0.20.0-cp314-cp314-win_arm64.whl", hash = "sha256:2ad6ae36e4a602b24b4bf4eaf8ab5a441fec03e1f1b5931beca8ebda68f53fc0", size = 179018, upload-time = "2025-11-24T03:56:05.038Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/06/3da3fc9aaa55618a8f43eb9052453cfe01f82930bca3af8cea63a89f3a11/msgspec-0.20.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:f84703e0e6ef025663dd1de828ca028774797b8155e070e795c548f76dde65d5", size = 200389, upload-time = "2025-11-24T03:56:06.375Z" },
+    { url = "https://files.pythonhosted.org/packages/83/3b/cc4270a5ceab40dfe1d1745856951b0a24fd16ac8539a66ed3004a60c91e/msgspec-0.20.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7c83fc24dd09cf1275934ff300e3951b3adc5573f0657a643515cc16c7dee131", size = 193198, upload-time = "2025-11-24T03:56:07.742Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/ae/4c7905ac53830c8e3c06fdd60e3cdcfedc0bbc993872d1549b84ea21a1bd/msgspec-0.20.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f13ccb1c335a124e80c4562573b9b90f01ea9521a1a87f7576c2e281d547f56", size = 225973, upload-time = "2025-11-24T03:56:09.18Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/da/032abac1de4d0678d99eaeadb1323bd9d247f4711c012404ba77ed6f15ca/msgspec-0.20.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:17c2b5ca19f19306fc83c96d85e606d2cc107e0caeea85066b5389f664e04846", size = 229509, upload-time = "2025-11-24T03:56:10.898Z" },
+    { url = "https://files.pythonhosted.org/packages/69/52/fdc7bdb7057a166f309e0b44929e584319e625aaba4771b60912a9321ccd/msgspec-0.20.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d931709355edabf66c2dd1a756b2d658593e79882bc81aae5964969d5a291b63", size = 230434, upload-time = "2025-11-24T03:56:12.48Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/fe/1dfd5f512b26b53043884e4f34710c73e294e7cc54278c3fe28380e42c37/msgspec-0.20.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:565f915d2e540e8a0c93a01ff67f50aebe1f7e22798c6a25873f9fda8d1325f8", size = 231758, upload-time = "2025-11-24T03:56:13.765Z" },
+    { url = "https://files.pythonhosted.org/packages/97/f6/9ba7121b8e0c4e0beee49575d1dbc804e2e72467692f0428cf39ceba1ea5/msgspec-0.20.0-cp314-cp314t-win_amd64.whl", hash = "sha256:726f3e6c3c323f283f6021ebb6c8ccf58d7cd7baa67b93d73bfbe9a15c34ab8d", size = 206540, upload-time = "2025-11-24T03:56:15.029Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/3e/c5187de84bb2c2ca334ab163fcacf19a23ebb1d876c837f81a1b324a15bf/msgspec-0.20.0-cp314-cp314t-win_arm64.whl", hash = "sha256:93f23528edc51d9f686808a361728e903d6f2be55c901d6f5c92e44c6d546bfc", size = 183011, upload-time = "2025-11-24T03:56:16.442Z" },
+]
+
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -384,6 +408,7 @@ dependencies = [
     { name = "anyio" },
     { name = "httpx" },
     { name = "markdown-it-py" },
+    { name = "msgspec" },
     { name = "questionary" },
     { name = "rich" },
     { name = "sulguk" },
@@ -404,6 +429,7 @@ requires-dist = [
     { name = "anyio", specifier = ">=4.12.0" },
     { name = "httpx", specifier = ">=0.28.1" },
     { name = "markdown-it-py" },
+    { name = "msgspec", specifier = ">=0.20.0" },
     { name = "questionary", specifier = ">=2.1.1" },
     { name = "rich", specifier = ">=14.2.0" },
     { name = "sulguk", specifier = ">=0.11.1" },