Add typed event payload modules for the streaming service.

This commit is contained in:
CREDO23 2026-05-06 20:08:47 +02:00
parent a9bf7ab7d2
commit 5510c6c314
11 changed files with 571 additions and 0 deletions

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"""SSE event payload formatters, one module per event family."""
from __future__ import annotations
from . import (
action_log,
data,
error,
interrupt,
lifecycle,
reasoning,
source,
subagent_lifecycle,
text,
tool,
)
__all__ = [
"action_log",
"data",
"error",
"interrupt",
"lifecycle",
"reasoning",
"source",
"subagent_lifecycle",
"text",
"tool",
]

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"""Action-log events relayed from ``ActionLogMiddleware`` custom dispatches."""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter
from .data import format_data
def format_action_log(
payload: dict[str, Any],
*,
emitter: Emitter | None = None,
) -> str:
return format_data("action-log", payload, emitter=emitter)
def format_action_log_updated(
payload: dict[str, Any],
*,
emitter: Emitter | None = None,
) -> str:
return format_data("action-log-updated", payload, emitter=emitter)

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"""Generic ``data-*`` envelopes and SurfSense-specific data parts.
Inner ``data`` dict fields use snake_case. Legacy ``threadId`` /
``messageId`` keys are preserved where they cross the AI SDK boundary.
"""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_data(
data_type: str,
data: Any,
*,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {"type": f"data-{data_type}", "data": data}
return format_sse(attach_emitted_by(payload, emitter))
def format_terminal_info(
text: str,
*,
message_type: str = "info",
emitter: Emitter | None = None,
) -> str:
return format_data(
"terminal-info",
{"text": text, "type": message_type},
emitter=emitter,
)
def format_further_questions(
questions: list[str],
*,
emitter: Emitter | None = None,
) -> str:
return format_data("further-questions", {"questions": questions}, emitter=emitter)
def format_thinking_step(
*,
step_id: str,
title: str,
status: str = "in_progress",
items: list[str] | None = None,
emitter: Emitter | None = None,
) -> str:
return format_data(
"thinking-step",
{
"id": step_id,
"title": title,
"status": status,
"items": items or [],
},
emitter=emitter,
)
def format_thread_title_update(
*,
thread_id: int,
title: str,
emitter: Emitter | None = None,
) -> str:
return format_data(
"thread-title-update",
{"threadId": thread_id, "title": title},
emitter=emitter,
)
def format_turn_info(
*,
chat_turn_id: str,
emitter: Emitter | None = None,
) -> str:
return format_data("turn-info", {"chat_turn_id": chat_turn_id}, emitter=emitter)
def format_turn_status(
*,
status: str,
emitter: Emitter | None = None,
) -> str:
return format_data("turn-status", {"status": status}, emitter=emitter)
def format_user_message_id(
*,
message_id: str,
turn_id: str,
emitter: Emitter | None = None,
) -> str:
return format_data(
"user-message-id",
{"message_id": message_id, "turn_id": turn_id},
emitter=emitter,
)
def format_assistant_message_id(
*,
message_id: str,
turn_id: str,
emitter: Emitter | None = None,
) -> str:
return format_data(
"assistant-message-id",
{"message_id": message_id, "turn_id": turn_id},
emitter=emitter,
)

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"""Single terminal error path the orchestrator must route through."""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_error(
error_text: str,
*,
error_code: str | None = None,
extra: dict[str, Any] | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {"type": "error", "errorText": error_text}
if error_code:
payload["errorCode"] = error_code
if extra:
payload.update(extra)
return format_sse(attach_emitted_by(payload, emitter))

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"""Interrupt-request events with a single canonical payload shape."""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter
from .data import format_data
def normalize_interrupt_payload(interrupt_value: dict[str, Any]) -> dict[str, Any]:
if "action_requests" in interrupt_value and "review_configs" in interrupt_value:
return interrupt_value
interrupt_type = interrupt_value.get("type", "unknown")
message = interrupt_value.get("message")
action = interrupt_value.get("action", {}) or {}
context = interrupt_value.get("context", {}) or {}
normalized: dict[str, Any] = {
"action_requests": [
{
"name": action.get("tool", "unknown_tool"),
"args": action.get("params", {}),
}
],
"review_configs": [
{
"action_name": action.get("tool", "unknown_tool"),
"allowed_decisions": ["approve", "edit", "reject"],
}
],
"interrupt_type": interrupt_type,
"context": context,
}
if message:
normalized["message"] = message
return normalized
def format_interrupt_request(
interrupt_value: dict[str, Any],
*,
interrupt_id: str | None = None,
pending_interrupt_count: int | None = None,
chat_turn_id: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload = normalize_interrupt_payload(interrupt_value)
if interrupt_id is not None:
payload["interrupt_id"] = interrupt_id
if pending_interrupt_count is not None:
payload["pending_interrupt_count"] = pending_interrupt_count
if chat_turn_id is not None:
payload["chat_turn_id"] = chat_turn_id
return format_data("interrupt-request", payload, emitter=emitter)

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"""High-level message and step lifecycle events.
Wire verbs are fixed by the AI SDK protocol (``start`` / ``finish`` for
the whole message, ``start-step`` / ``finish-step`` for each step).
Python helpers always read ``format_<entity>_<verb>`` so pairs are
visible at the call site.
"""
from __future__ import annotations
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_message_start(message_id: str, *, emitter: Emitter | None = None) -> str:
payload = {"type": "start", "messageId": message_id}
return format_sse(attach_emitted_by(payload, emitter))
def format_message_finish(*, emitter: Emitter | None = None) -> str:
return format_sse(attach_emitted_by({"type": "finish"}, emitter))
def format_step_start(*, emitter: Emitter | None = None) -> str:
return format_sse(attach_emitted_by({"type": "start-step"}, emitter))
def format_step_finish(*, emitter: Emitter | None = None) -> str:
return format_sse(attach_emitted_by({"type": "finish-step"}, emitter))

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"""Reasoning-block streaming events."""
from __future__ import annotations
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_reasoning_start(
reasoning_id: str, *, emitter: Emitter | None = None
) -> str:
return format_sse(
attach_emitted_by({"type": "reasoning-start", "id": reasoning_id}, emitter)
)
def format_reasoning_delta(
reasoning_id: str,
delta: str,
*,
emitter: Emitter | None = None,
) -> str:
return format_sse(
attach_emitted_by(
{"type": "reasoning-delta", "id": reasoning_id, "delta": delta},
emitter,
)
)
def format_reasoning_end(
reasoning_id: str, *, emitter: Emitter | None = None
) -> str:
return format_sse(
attach_emitted_by({"type": "reasoning-end", "id": reasoning_id}, emitter)
)

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"""Source and file reference events."""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_source_url(
url: str,
*,
source_id: str | None = None,
title: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "source-url",
"sourceId": source_id or url,
"url": url,
}
if title:
payload["title"] = title
return format_sse(attach_emitted_by(payload, emitter))
def format_source_document(
source_id: str,
*,
media_type: str = "file",
title: str | None = None,
description: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "source-document",
"sourceId": source_id,
"mediaType": media_type,
}
if title:
payload["title"] = title
if description:
payload["description"] = description
return format_sse(attach_emitted_by(payload, emitter))
def format_file(
url: str,
media_type: str,
*,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "file",
"url": url,
"mediaType": media_type,
}
return format_sse(attach_emitted_by(payload, emitter))

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"""Sub-agent lifecycle events the FE pairs into one timeline lane.
A sub-agent run is a high-level boundary (a whole agent invocation),
so we use the ``start`` / ``finish`` verb pair, matching how the AI SDK
spells message- and step-level lifecycles.
"""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter
from .data import format_data
def format_subagent_start(
*,
subagent_run_id: str,
subagent_type: str,
parent_tool_call_id: str,
chat_turn_id: str | None = None,
description: str | None = None,
started_at: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"subagent_run_id": subagent_run_id,
"subagent_type": subagent_type,
"parent_tool_call_id": parent_tool_call_id,
}
if chat_turn_id is not None:
payload["chat_turn_id"] = chat_turn_id
if description is not None:
payload["description"] = description
if started_at is not None:
payload["started_at"] = started_at
return format_data("subagent-start", payload, emitter=emitter)
def format_subagent_finish(
*,
subagent_run_id: str,
subagent_type: str,
parent_tool_call_id: str,
status: str = "completed",
ended_at: str | None = None,
duration_ms: int | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"subagent_run_id": subagent_run_id,
"subagent_type": subagent_type,
"parent_tool_call_id": parent_tool_call_id,
"status": status,
}
if ended_at is not None:
payload["ended_at"] = ended_at
if duration_ms is not None:
payload["duration_ms"] = duration_ms
return format_data("subagent-finish", payload, emitter=emitter)
def format_subagent_error(
*,
subagent_run_id: str,
subagent_type: str,
parent_tool_call_id: str,
error_text: str,
error_type: str | None = None,
ended_at: str | None = None,
duration_ms: int | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"subagent_run_id": subagent_run_id,
"subagent_type": subagent_type,
"parent_tool_call_id": parent_tool_call_id,
"error_text": error_text,
}
if error_type is not None:
payload["error_type"] = error_type
if ended_at is not None:
payload["ended_at"] = ended_at
if duration_ms is not None:
payload["duration_ms"] = duration_ms
return format_data("subagent-error", payload, emitter=emitter)

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"""Text-block streaming events."""
from __future__ import annotations
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_text_start(text_id: str, *, emitter: Emitter | None = None) -> str:
return format_sse(
attach_emitted_by({"type": "text-start", "id": text_id}, emitter)
)
def format_text_delta(
text_id: str,
delta: str,
*,
emitter: Emitter | None = None,
) -> str:
return format_sse(
attach_emitted_by(
{"type": "text-delta", "id": text_id, "delta": delta}, emitter
)
)
def format_text_end(text_id: str, *, emitter: Emitter | None = None) -> str:
return format_sse(
attach_emitted_by({"type": "text-end", "id": text_id}, emitter)
)

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"""Tool-call streaming events.
``toolCallId`` and ``langchainToolCallId`` are AI SDK protocol fields
and stay camelCase. Sub-agent provenance rides on the snake_case
top-level ``emitted_by`` envelope added by :func:`attach_emitted_by`.
"""
from __future__ import annotations
from typing import Any
from ..emitter import Emitter, attach_emitted_by
from ..envelope import format_sse
def format_tool_input_start(
tool_call_id: str,
tool_name: str,
*,
langchain_tool_call_id: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "tool-input-start",
"toolCallId": tool_call_id,
"toolName": tool_name,
}
if langchain_tool_call_id:
payload["langchainToolCallId"] = langchain_tool_call_id
return format_sse(attach_emitted_by(payload, emitter))
def format_tool_input_delta(
tool_call_id: str,
input_text_delta: str,
*,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "tool-input-delta",
"toolCallId": tool_call_id,
"inputTextDelta": input_text_delta,
}
return format_sse(attach_emitted_by(payload, emitter))
def format_tool_input_available(
tool_call_id: str,
tool_name: str,
input_data: dict[str, Any],
*,
langchain_tool_call_id: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "tool-input-available",
"toolCallId": tool_call_id,
"toolName": tool_name,
"input": input_data,
}
if langchain_tool_call_id:
payload["langchainToolCallId"] = langchain_tool_call_id
return format_sse(attach_emitted_by(payload, emitter))
def format_tool_output_available(
tool_call_id: str,
output: Any,
*,
langchain_tool_call_id: str | None = None,
emitter: Emitter | None = None,
) -> str:
payload: dict[str, Any] = {
"type": "tool-output-available",
"toolCallId": tool_call_id,
"output": output,
}
if langchain_tool_call_id:
payload["langchainToolCallId"] = langchain_tool_call_id
return format_sse(attach_emitted_by(payload, emitter))