feat(fable-mcp): briefing introspection and manual trigger tools

Adds the MCP tools needed to debug the agentic briefing pipeline
without waiting for scheduled slots to fire:

- fable_list_briefings — list briefing conversations newest first
- fable_get_today_briefing — fetch today's briefing with all messages
- fable_get_briefing_messages(conv_id) — message list for a specific
  briefing conversation, including tool_calls with embedded results
- fable_trigger_briefing(slot) — manually run a slot via
  POST /api/briefing/trigger (fires RSS/weather refresh, same as
  the scheduler)
- fable_get_conversation(conv_id) — generic conversation read for
  chat or briefing threads, full messages + tool_calls + metadata

All of these hit existing REST endpoints (/api/briefing/conversations,
/api/briefing/conversations/<id>/messages, /api/briefing/trigger,
/api/chat/conversations/<id>) so no API surface changed — the gap
was purely on the MCP side. Bearer token auth works across both
blueprints because login_required already accepts API keys.

Enables a full "trigger → inspect → tune prompt → repeat" loop from
Claude without touching the UI, which is necessary for iterating on
agentic briefing prompts when the scheduled slot is hours away.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Bryan Van Deusen
2026-04-10 15:06:55 -04:00
parent 4168167f24
commit 2fd914916f
2 changed files with 141 additions and 1 deletions
+94
View File
@@ -628,6 +628,100 @@ async def fable_remove_rss_feed(feed_id: int) -> dict:
return await briefing.remove_rss_feed(client, feed_id=feed_id)
# ---------------------------------------------------------------------------
# Briefing introspection & control
# ---------------------------------------------------------------------------
@mcp.tool()
async def fable_list_briefings() -> dict:
"""List the user's briefing conversations, newest first.
Each briefing has an associated date and conversation id. Use
``fable_get_briefing_messages`` or ``fable_get_conversation`` with
the id to pull the actual briefing text and tool-call receipts.
Returns a dict with a ``conversations`` list.
"""
async with FableClient() as client:
return await briefing.list_briefing_conversations(client)
@mcp.tool()
async def fable_get_today_briefing() -> dict:
"""Fetch today's briefing conversation, creating it if needed.
Returns the full conversation object including all messages — the
scheduled briefing assistant turns, any tool calls the agentic path
made, and any chat replies the user has sent in the briefing thread.
Use this to inspect what a briefing actually said (and what tool
results grounded it) without having to query by id.
"""
async with FableClient() as client:
return await briefing.get_today_briefing(client)
@mcp.tool()
async def fable_get_briefing_messages(conversation_id: int) -> dict:
"""Fetch all messages for a specific briefing conversation.
Args:
conversation_id: The briefing conversation id from fable_list_briefings.
Returns a dict with a ``messages`` list. Each message includes
role, content, tool_calls (with results), and metadata — the
metadata carries ``briefing_slot`` tags on agentic briefing turns.
"""
async with FableClient() as client:
return await briefing.get_briefing_messages(
client, conversation_id=conversation_id,
)
@mcp.tool()
async def fable_trigger_briefing(slot: str = "compilation") -> dict:
"""Manually run a briefing slot for the current user.
Fires the same data refresh the scheduler does (RSS, weather),
runs the briefing pipeline (legacy or agentic based on the user's
``briefing_mode`` setting), and writes the result into today's
briefing conversation. Use this to test prompt changes without
waiting for the next scheduled slot.
Args:
slot: One of ``compilation`` (full morning, default), ``morning``,
``midday``, or ``afternoon``.
Returns a dict with ``conversation_id``, ``message_id``, and ``slot``.
"""
async with FableClient() as client:
return await briefing.trigger_briefing(client, slot=slot)
# ---------------------------------------------------------------------------
# Generic conversation access
# ---------------------------------------------------------------------------
@mcp.tool()
async def fable_get_conversation(conversation_id: int) -> dict:
"""Fetch any conversation (chat or briefing) with its full message list.
Returns conversation metadata plus an ordered ``messages`` array.
Each message includes role, content, tool_calls (with results),
context_note_id, and msg_metadata. Tool calls are in the stored
flat format: ``[{"function": name, "arguments": {...}, "result": {...}}]``.
Useful for debugging agentic briefings, inspecting chat history,
or verifying that a tool actually ran with the expected arguments.
"""
async with FableClient() as client:
return await briefing.get_conversation(
client, conversation_id=conversation_id,
)
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------