Log client details for API and agent requests

Replace the deprecated copilotRuntimeNextJSAppRouterEndpoint wrapper
(which was already the v2 single-route handler underneath) with
createCopilotRuntimeHandler from @copilotkit/runtime/v2, built once at
module scope, and plug in a custom PostgresAgentRunner:

- run() proxies the agent's event stream untouched — MAF persists every
  turn in chatthreadsnapshot, so the BFF records nothing
- connect() forwards to MAF's snapshot hydration (empty-messages run →
  RUN_STARTED → MESSAGES_SNAPSHOT → RUN_FINISHED, no LLM call), making
  the DB the only conversation store — correct across clears, restarts
  and future instances
- stop() aborts via a process-local live-run map (same pattern as the
  official sqlite-runner); isRunning() has no caller in the v2 SSE path

This deletes the whole workaround layer the in-memory runner forced:
the connect intercepts (URL + envelope forms) and Asistente's
client-side hydration run. The ask-box flow now awaits connectAgent
instead. Auth moves to a single Request rewrite (ws_token cookie →
Authorization Bearer) before the handler — the v2 path forwards
authorization + x-* headers to both run clones and runner.connect.
Stays in single-route mode: same envelope protocol the client already
auto-detected, no exposure to CopilotKit#4953, /threads* REST not
needed. Telemetry disabled via COPILOTKIT_TELEMETRY_DISABLED.

Verified full matrix in dev: fresh ask, reload replay via runner,
3 cleared convos + double navigation (only last survives), card renders
once and survives follow-up + reload, Inicio ask-box with history,
stale-tab persists only its new turn. 126 backend tests green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.env.example

@@ -23,4 +23,4 @@ VAPID_PUBLIC_KEY=
 
 # ── AI agent (optional in dev; Asistente won't work without it) ──────────────
 OPENAI_API_KEY=
-AGENT_MODEL=gpt-5.4-mini
+AGENT_MODEL=gpt-5.6-luna

.gitignore

@@ -16,3 +16,8 @@ tech_docs/
 .claude/
 .venv/
 frontend/openapi.json
+
+# playwright (demo artifacts are generated, not committed)
+frontend/test-results/
+frontend/playwright-report/
+frontend/e2e-docs/

backend/alembic/versions/10f4a4f71964_track_agui_run_id_in_chat_logs.py

@@ -0,0 +1,35 @@
+"""track agui run id in chat logs
+
+Revision ID: 10f4a4f71964
+Revises: ecb99a158fbf
+Create Date: 2026-07-14 22:32:16.771655
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+
+
+# revision identifiers, used by Alembic.
+revision: str = '10f4a4f71964'
+down_revision: Union[str, Sequence[str], None] = 'ecb99a158fbf'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('chatrunlog', sa.Column('agui_run_id', sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+    op.create_index(op.f('ix_chatrunlog_agui_run_id'), 'chatrunlog', ['agui_run_id'], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(op.f('ix_chatrunlog_agui_run_id'), table_name='chatrunlog')
+    op.drop_column('chatrunlog', 'agui_run_id')
+    # ### end Alembic commands ###

backend/alembic/versions/794baf50635b_chat_thread_snapshot.py

@@ -0,0 +1,45 @@
+"""chat thread snapshot
+
+Revision ID: 794baf50635b
+Revises: 961802a2f50d
+Create Date: 2026-07-04 17:49:14.914103
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = '794baf50635b'
+down_revision: Union[str, Sequence[str], None] = '961802a2f50d'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('chatthreadsnapshot',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('scope', sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+    sa.Column('thread_id', sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+    sa.Column('messages', sa.JSON().with_variant(postgresql.JSONB(astext_type=sa.Text()), 'postgresql'), server_default='[]', nullable=False),
+    sa.Column('state', sa.JSON().with_variant(postgresql.JSONB(astext_type=sa.Text()), 'postgresql'), nullable=True),
+    sa.Column('interrupt', sa.JSON().with_variant(postgresql.JSONB(astext_type=sa.Text()), 'postgresql'), nullable=True),
+    sa.Column('updated_at', sa.DateTime(), nullable=False),
+    sa.PrimaryKeyConstraint('id'),
+    sa.UniqueConstraint('scope', 'thread_id')
+    )
+    op.create_index(op.f('ix_chatthreadsnapshot_scope'), 'chatthreadsnapshot', ['scope'], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(op.f('ix_chatthreadsnapshot_scope'), table_name='chatthreadsnapshot')
+    op.drop_table('chatthreadsnapshot')
+    # ### end Alembic commands ###

backend/alembic/versions/86104b4ff6ae_record_chat_client_details.py

@@ -0,0 +1,37 @@
+"""record chat client details
+
+Revision ID: 86104b4ff6ae
+Revises: 10f4a4f71964
+Create Date: 2026-07-14 22:54:55.519380
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+
+
+# revision identifiers, used by Alembic.
+revision: str = '86104b4ff6ae'
+down_revision: Union[str, Sequence[str], None] = '10f4a4f71964'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('chatrunlog', sa.Column('client_ip', sa.Text(), nullable=True))
+    op.add_column('chatrunlog', sa.Column('user_agent', sa.Text(), nullable=True))
+    op.add_column('chatrunlog', sa.Column('browser', sa.Text(), nullable=True))
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column('chatrunlog', 'browser')
+    op.drop_column('chatrunlog', 'user_agent')
+    op.drop_column('chatrunlog', 'client_ip')
+    # ### end Alembic commands ###

backend/alembic/versions/ecb99a158fbf_add_chat_run_audit_logs.py

@@ -0,0 +1,58 @@
+"""add chat run audit logs
+
+Revision ID: ecb99a158fbf
+Revises: 794baf50635b
+Create Date: 2026-07-14 22:22:06.035643
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = 'ecb99a158fbf'
+down_revision: Union[str, Sequence[str], None] = '794baf50635b'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('chatrunlog',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('request_id', sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+    sa.Column('requested_thread_id', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+    sa.Column('response_thread_id', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+    sa.Column('model', sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+    sa.Column('user_prompt', sa.Text(), nullable=True),
+    sa.Column('tool_calls', sa.JSON().with_variant(postgresql.JSONB(astext_type=sa.Text()), 'postgresql'), server_default='[]', nullable=False),
+    sa.Column('assistant_response', sa.Text(), nullable=True),
+    sa.Column('status', sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+    sa.Column('error', sa.Text(), nullable=True),
+    sa.Column('started_at', sa.DateTime(), nullable=False),
+    sa.Column('completed_at', sa.DateTime(), nullable=True),
+    sa.Column('expires_at', sa.DateTime(), nullable=False),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_chatrunlog_expires_at'), 'chatrunlog', ['expires_at'], unique=False)
+    op.create_index(op.f('ix_chatrunlog_request_id'), 'chatrunlog', ['request_id'], unique=True)
+    op.create_index(op.f('ix_chatrunlog_requested_thread_id'), 'chatrunlog', ['requested_thread_id'], unique=False)
+    op.create_index(op.f('ix_chatrunlog_response_thread_id'), 'chatrunlog', ['response_thread_id'], unique=False)
+    op.create_index(op.f('ix_chatrunlog_status'), 'chatrunlog', ['status'], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(op.f('ix_chatrunlog_status'), table_name='chatrunlog')
+    op.drop_index(op.f('ix_chatrunlog_response_thread_id'), table_name='chatrunlog')
+    op.drop_index(op.f('ix_chatrunlog_requested_thread_id'), table_name='chatrunlog')
+    op.drop_index(op.f('ix_chatrunlog_request_id'), table_name='chatrunlog')
+    op.drop_index(op.f('ix_chatrunlog_expires_at'), table_name='chatrunlog')
+    op.drop_table('chatrunlog')
+    # ### end Alembic commands ###

backend/app/agent/agent.py

@@ -2,10 +2,8 @@
 
 from __future__ import annotations
 
-from datetime import date
-
 from agent_framework import Agent
-from agent_framework.openai import OpenAIChatCompletionClient
+from agent_framework.openai import OpenAIChatClient
 
 from app.config import settings
 from app.agent.tools import TOOLS
@@ -22,19 +20,46 @@ Context you can rely on:
   following month. When the user says "this month" or "last month" without
   qualifiers, assume they mean the calendar month unless they mention
   "cycle", "corte", or their credit card.
-- Today's date is {today}. Use it when the user says "this month", "last
+- You do NOT have a reliable clock, and the server runs in UTC while the
-  month", "last year", etc.
+  user may be anywhere (their browser reports their timezone per request).
+  Whenever the question involves a relative date — "hoy", "ayer", "este
+  mes", "este ciclo", "el año pasado" — call get_current_date FIRST and
+  derive ranges from its answer.
 - Amounts are stored as raw numbers in their native currency (see `currency`
   field on transactions/accounts). Tools that return `total_crc` are already
   converted; tools that return per-transaction amounts are NOT.
 
 How to answer:
 - ALWAYS call a tool to get data. Do not invent balances, dates or merchants.
+- Match the tool to the question's time grain: day-scoped questions ("hoy",
+  "ayer", "el martes", a specific date) need get_daily_spending with that
+  day's bounds — cycle or category summaries have NO per-day data, so never
+  answer a day question from them.
+- For a question about a specific salary deposit or its amount (including
+  "cuánto recibí hoy"), call get_salary_deposits with the relevant date range;
+  get_salary_summary is aggregate-only and cannot answer it.
+- Answer like an analyst, not a calculator. An aggregate number on its own
+  is not an answer — show what it is made of, right away, without waiting
+  to be asked:
+  · saldo neto / net worth → headline, then the assets-vs-liabilities
+    split and the accounts behind each side (get_accounts + get_net_worth).
+  · "cuánto gasté hoy/ayer/el martes" → the total, then the purchases
+    behind it (get_recent_transactions with the same date bounds:
+    merchant, amount, source).
+  · cycle or category totals → the top components and how much each
+    contributes.
+- Structure: one headline sentence with the number, a compact markdown
+  table with the breakdown, and — only when the data genuinely supports
+  it — one closing observation (an unusually large item, a comparison to
+  the previous day/cycle). Never pad with filler or generic offers like
+  "si quieres te puedo mostrar…" when you could just show it.
 - Call multiple tools in parallel when the question spans domains
   (e.g. net worth + recent transactions).
 - Format currency with the appropriate symbol: ₡ for CRC (no decimals), $ for
   USD (two decimals), € for EUR (two decimals).
-- When showing lists, prefer markdown tables over prose.
+- When showing lists or structured data (transactions, breakdowns, funds),
+  format them as clean markdown tables: right-align amounts, include a total
+  row when summing, keep merchant names as-is.
 - If a tool returns no data, say so explicitly — do not fill in zeros.
 - You are read-only in this version. If asked to create, edit or delete
   anything, explain that write actions aren't available yet and offer to
@@ -47,28 +72,32 @@ Generative UI — render tools:
 - When showing spending totals, cycle summaries, or category breakdowns →
   call render_spending_summary. Source data: get_cycle_summary (by_source,
   grand_total_crc) + get_analytics_by_category (by_category).
-- When showing transaction lists or other structured data →
+- Do NOT use markdown tables for data render_spending_summary can display.
-  call render_a2ui in a SEPARATE tool-call step, only after all data-fetching
+- CRITICAL RULE: When you call render_spending_summary, that tool call MUST
-  calls have returned. NEVER call render_a2ui in the same batch as any other
+  be the ONLY content in your message. Do NOT include any text content
-  tool.
+  alongside the tool call — no introduction, no list, no explanation,
-- Do NOT use markdown tables for data a render tool can display.
+  nothing. The rendered card IS the complete response. Any text you write in
-- CRITICAL RULE: When you call a render tool (render_spending_summary or
+  the same message as a render call will appear as a duplicate below the
-  render_a2ui), that tool call MUST be the ONLY content in your message.
+  card, which is wrong.
-  Do NOT include any text content alongside the tool call — no introduction,
+- When a render_spending_summary tool result ("ok") is already present for
-  no list, no explanation, nothing. The rendered card IS the complete
+  the current question, the card is already on screen. Do NOT call the tool
-  response. Any text you write in the same message as a render call will
+  again and do NOT add text — end your response with no further output.
-  appear as a duplicate below the card, which is wrong.
 """
 
 
 def build_agent() -> Agent:
-    client = OpenAIChatCompletionClient(
+    # Use the Responses API for every configured model. It preserves one tool
+    # transport across model changes and supports Luna's tool-result turns.
+    client = OpenAIChatClient(
         api_key=settings.OPENAI_API_KEY,
         model=settings.AGENT_MODEL,
     )
     return Agent(
         name="wealthysmart",
-        instructions=SYSTEM_PROMPT.replace("{today}", date.today().isoformat()),
+        # No date baked in: build_agent() runs once at startup, so anything
+        # substituted here freezes at boot (and in server-UTC). The model
+        # gets "today" from the get_current_date tool instead.
+        instructions=SYSTEM_PROMPT,
         client=client,
         tools=TOOLS,
     )

backend/app/agent/chat_audit.py

@@ -0,0 +1,153 @@
+"""Durable diagnostics for individual AG-UI agent runs."""
+
+from __future__ import annotations
+
+import asyncio
+import contextvars
+from datetime import timedelta
+from typing import Any
+
+from sqlmodel import Session, delete, select
+
+from app.config import settings
+from app.db import engine
+from app.models.models import ChatRunLog
+from app.timeutil import utcnow
+
+
+CHAT_LOG_RETENTION_DAYS = 90
+_chat_run_id: contextvars.ContextVar[int | None] = contextvars.ContextVar(
+    "chat_run_id", default=None
+)
+
+
+def set_current_chat_run(run_id: int) -> contextvars.Token:
+    return _chat_run_id.set(run_id)
+
+
+def reset_current_chat_run(token: contextvars.Token) -> None:
+    _chat_run_id.reset(token)
+
+
+def current_chat_run_id() -> int | None:
+    return _chat_run_id.get()
+
+
+def _last_user_prompt(messages: list[dict[str, Any]]) -> str | None:
+    for message in reversed(messages):
+        if message.get("role") == "user" and isinstance(message.get("content"), str):
+            return message["content"]
+    return None
+
+
+def create_chat_run(
+    *,
+    request_id: str,
+    agui_run_id: str | None,
+    thread_id: str | None,
+    messages: list[dict[str, Any]],
+    client_ip: str | None = None,
+    user_agent: str | None = None,
+    browser: str | None = None,
+) -> int:
+    now = utcnow()
+    with Session(engine) as session:
+        row = ChatRunLog(
+            request_id=request_id,
+            agui_run_id=agui_run_id,
+            requested_thread_id=thread_id,
+            model=settings.AGENT_MODEL,
+            client_ip=client_ip,
+            user_agent=user_agent,
+            browser=browser,
+            user_prompt=_last_user_prompt(messages),
+            expires_at=now + timedelta(days=CHAT_LOG_RETENTION_DAYS),
+        )
+        session.add(row)
+        session.commit()
+        session.refresh(row)
+        assert row.id is not None
+        return row.id
+
+
+def _tool_activity(messages: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    calls: dict[str, dict[str, Any]] = {}
+    order: list[str] = []
+    for message in messages:
+        if message.get("role") == "assistant":
+            for call in message.get("toolCalls") or message.get("tool_calls") or []:
+                call_id = str(call.get("id") or "")
+                if not call_id or call_id in calls:
+                    continue
+                function = call.get("function") or {}
+                calls[call_id] = {
+                    "id": call_id,
+                    "name": function.get("name"),
+                    "arguments": function.get("arguments"),
+                }
+                order.append(call_id)
+        elif message.get("role") == "tool":
+            call_id = str(message.get("toolCallId") or message.get("tool_call_id") or "")
+            if call_id in calls:
+                calls[call_id]["result"] = message.get("content")
+                if message.get("error") is not None:
+                    calls[call_id]["error"] = message["error"]
+    return [calls[call_id] for call_id in order]
+
+
+def _last_assistant_response(messages: list[dict[str, Any]]) -> str | None:
+    for message in reversed(messages):
+        if message.get("role") == "assistant" and isinstance(message.get("content"), str):
+            return message["content"]
+    return None
+
+
+def finalize_chat_run_in_session(
+    session: Session, *, run_id: int, response_thread_id: str, messages: list[dict[str, Any]]
+) -> None:
+    row = session.get(ChatRunLog, run_id)
+    if row is None:
+        return
+    row.response_thread_id = response_thread_id
+    row.tool_calls = _tool_activity(messages)
+    row.assistant_response = _last_assistant_response(messages)
+    row.status = "completed"
+    row.completed_at = utcnow()
+    session.add(row)
+
+
+def mark_chat_run_failed(run_id: int, error: str) -> None:
+    with Session(engine) as session:
+        row = session.get(ChatRunLog, run_id)
+        if row is None or row.status == "completed":
+            return
+        row.status = "failed"
+        row.error = error[:4000]
+        row.completed_at = utcnow()
+        session.add(row)
+        session.commit()
+
+
+def finish_pending_chat_run(run_id: int) -> None:
+    with Session(engine) as session:
+        row = session.get(ChatRunLog, run_id)
+        if row is None or row.status != "started":
+            return
+        row.status = "completed"
+        row.completed_at = utcnow()
+        session.add(row)
+        session.commit()
+
+
+def purge_expired_chat_runs() -> int:
+    with Session(engine) as session:
+        result = session.exec(delete(ChatRunLog).where(ChatRunLog.expires_at < utcnow()))
+        session.commit()
+        return result.rowcount or 0
+
+
+async def purge_expired_chat_runs_periodically() -> None:
+    """Purge at startup and then once per day for a bounded audit footprint."""
+    while True:
+        await asyncio.to_thread(purge_expired_chat_runs)
+        await asyncio.sleep(24 * 60 * 60)

backend/app/agent/snapshot_store.py

@@ -0,0 +1,194 @@
+"""Postgres-backed AG-UI thread snapshot store.
+
+Implements the AGUIThreadSnapshotStore protocol from agent-framework-ag-ui so
+the assistant conversation survives page reloads: MAF calls `save` with the
+full cumulative message list at each run end, and `get` on the next request
+(server-side context rebuild, or a client hydration run with empty messages).
+
+Two deliberate choices:
+- Own sessions per call: MAF saves during SSE streaming, after the
+  agent_auth_and_session middleware has already closed the request-bound
+  ContextVar session. Sync SQLModel work runs in a thread so the event loop
+  keeps streaming.
+- `save` normalizes assistant `tool_calls` -> `toolCalls`: @ag-ui/client's
+  Zod schema silently strips the snake_case field, so a replayed snapshot
+  would lose tool calls (and the spending-summary card) on the way to the
+  browser. MAF reads both casings back, so storing camelCase is safe.
+"""
+
+from __future__ import annotations
+
+import asyncio
+from typing import Any
+
+from agent_framework_ag_ui import AGUIThreadSnapshot
+from sqlmodel import Session, select
+
+from app.db import engine
+from app.agent.chat_audit import current_chat_run_id, finalize_chat_run_in_session
+from app.models.models import ChatThreadSnapshot
+from app.timeutil import utcnow
+
+
+def _normalize_message(msg: dict[str, Any]) -> dict[str, Any]:
+    out = dict(msg)
+    tool_calls = out.pop("tool_calls", None)
+    if tool_calls is None:
+        tool_calls = out.pop("toolCalls", None)
+    else:
+        out.pop("toolCalls", None)
+    # MAF writes tool_calls: null on plain-text assistant messages; only a
+    # non-empty list is meaningful downstream.
+    if isinstance(tool_calls, list) and tool_calls:
+        out["toolCalls"] = tool_calls
+    if "tool_call_id" in out:
+        out.setdefault("toolCallId", out["tool_call_id"])
+        del out["tool_call_id"]
+    return out
+
+
+def _clean_messages(messages: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    """Sanitize the cumulative snapshot before storing it.
+
+    MAF's history merge re-records the resent suffix of multi-run turns
+    (frontend-tool roundtrips) without deduplicating, and the model
+    occasionally re-issues an identical render tool call on the follow-up
+    run. Left as-is, the snapshot grows duplicates that replay as repeated
+    bubbles/cards after a reload.
+    """
+    # Pass 1: drop BFF-injected ctx-* system messages, duplicate message
+    # ids, and repeated identical tool calls (same function + arguments)
+    # within one user turn.
+    seen_ids: set[str] = set()
+    turn_calls: set[tuple[Any, Any]] = set()
+    kept_call_ids: set[str] = set()
+    first_pass: list[dict[str, Any]] = []
+    for raw in messages:
+        m = _normalize_message(raw)
+        mid = str(m.get("id", ""))
+        if mid.startswith("ctx-"):
+            continue
+        if mid and mid in seen_ids:
+            continue
+        role = m.get("role")
+        if role == "user":
+            turn_calls = set()
+        if role == "assistant" and isinstance(m.get("toolCalls"), list):
+            kept: list[dict[str, Any]] = []
+            for tc in m["toolCalls"]:
+                fn = tc.get("function") or {}
+                key = (fn.get("name"), fn.get("arguments"))
+                if key in turn_calls:
+                    continue
+                turn_calls.add(key)
+                kept.append(tc)
+                if tc.get("id"):
+                    kept_call_ids.add(str(tc["id"]))
+            if kept:
+                m["toolCalls"] = kept
+            else:
+                m.pop("toolCalls", None)
+                if not m.get("content"):
+                    continue  # nothing left worth replaying
+        if mid:
+            seen_ids.add(mid)
+        first_pass.append(m)
+
+    # Pass 2: one tool result per surviving call id. Results whose call was
+    # deduplicated away must go too — an orphan tool message in the stored
+    # history would 400 the next OpenAI request when MAF rebuilds context.
+    answered: set[str] = set()
+    out: list[dict[str, Any]] = []
+    for m in first_pass:
+        if m.get("role") == "tool":
+            tcid = str(m.get("toolCallId") or "")
+            if tcid and (tcid not in kept_call_ids or tcid in answered):
+                continue
+            if tcid:
+                answered.add(tcid)
+        out.append(m)
+    return out
+
+
+class PostgresSnapshotStore:
+    """One upserted row per (scope, thread_id); latest snapshot only."""
+
+    async def save(
+        self, *, scope: str, thread_id: str, snapshot: AGUIThreadSnapshot
+    ) -> None:
+        def _save() -> None:
+            with Session(engine) as session:
+                row = session.exec(
+                    select(ChatThreadSnapshot).where(
+                        ChatThreadSnapshot.scope == scope,
+                        ChatThreadSnapshot.thread_id == thread_id,
+                    )
+                ).first()
+                if row is None:
+                    row = ChatThreadSnapshot(scope=scope, thread_id=thread_id)
+                row.messages = _clean_messages(snapshot.messages)
+                row.state = snapshot.state
+                row.interrupt = snapshot.interrupt
+                row.updated_at = utcnow()
+                session.add(row)
+                run_id = current_chat_run_id()
+                if run_id is not None:
+                    finalize_chat_run_in_session(
+                        session,
+                        run_id=run_id,
+                        response_thread_id=thread_id,
+                        messages=row.messages,
+                    )
+                session.commit()
+
+        await asyncio.to_thread(_save)
+
+    async def get(
+        self, *, scope: str, thread_id: str
+    ) -> AGUIThreadSnapshot | None:
+        def _get() -> AGUIThreadSnapshot | None:
+            with Session(engine) as session:
+                row = session.exec(
+                    select(ChatThreadSnapshot).where(
+                        ChatThreadSnapshot.scope == scope,
+                        ChatThreadSnapshot.thread_id == thread_id,
+                    )
+                ).first()
+                if row is None:
+                    return None
+                return AGUIThreadSnapshot(
+                    messages=row.messages or [],
+                    state=row.state,
+                    interrupt=row.interrupt,
+                )
+
+        return await asyncio.to_thread(_get)
+
+    async def delete(self, *, scope: str, thread_id: str) -> bool:
+        def _delete() -> bool:
+            with Session(engine) as session:
+                row = session.exec(
+                    select(ChatThreadSnapshot).where(
+                        ChatThreadSnapshot.scope == scope,
+                        ChatThreadSnapshot.thread_id == thread_id,
+                    )
+                ).first()
+                if row is None:
+                    return False
+                session.delete(row)
+                session.commit()
+                return True
+
+        return await asyncio.to_thread(_delete)
+
+    async def clear(self, *, scope: str | None = None) -> None:
+        def _clear() -> None:
+            with Session(engine) as session:
+                stmt = select(ChatThreadSnapshot)
+                if scope is not None:
+                    stmt = stmt.where(ChatThreadSnapshot.scope == scope)
+                for row in session.exec(stmt).all():
+                    session.delete(row)
+                session.commit()
+
+        await asyncio.to_thread(_clear)

backend/app/agent/tools.py

@@ -13,7 +13,7 @@ write tool requires an explicit user-confirmation step in the UI.
 from __future__ import annotations
 
 import contextvars
-from datetime import datetime
+from datetime import datetime, time, timedelta
 from typing import Annotated, Optional
 
 from pydantic import Field
@@ -35,17 +35,20 @@ from app.models.models import (
 from app.services.budget_projection import (
     MAX_YEAR,
     MIN_YEAR,
+    NOT_INSTALLMENT_ANCHOR,
     compute_monthly_projection,
     compute_yearly_projection_with_cumulative,
     get_cycle_range,
 )
 from app.services import exchange_rate as fx
+from app.timeutil import client_tz, today_client
 from app.services.exchange_rate import (
     get_converted_amount_expr,
     get_current_rate,
 )
 
 _session_ctx: contextvars.ContextVar[Session] = contextvars.ContextVar("agent_session")
+SALARY_TRANSACTION_TYPES = (TransactionType.SALARY, TransactionType.DEPOSITO)
 
 
 def set_session(session: Session) -> contextvars.Token:
@@ -140,7 +143,11 @@ def get_recent_transactions(
     q = select(Transaction).where(
         col(Transaction.transaction_type).notin_(
             [TransactionType.SALARY, TransactionType.DEPOSITO]
-        )
+        ),
+        # Tasa Cero generates future-dated cuotas; "recent" means already
+        # billed (same rule as /transactions/recent). Bound is end of the
+        # user's today in their request timezone (CR fallback).
+        Transaction.date < datetime.combine(today_client() + timedelta(days=1), time.min),
     )
     if source:
         q = q.where(Transaction.source == TransactionSource(source))
@@ -333,7 +340,7 @@ def get_salary_summary() -> dict:
             func.count(),
             func.coalesce(func.sum(amount_crc), 0),
             func.max(Transaction.date),
-        ).where(Transaction.transaction_type == TransactionType.SALARY)
+        ).where(col(Transaction.transaction_type).in_(SALARY_TRANSACTION_TYPES))
     ).first()
     count = row[0] if row else 0
     total = float(row[1]) if row else 0.0
@@ -341,6 +348,44 @@ def get_salary_summary() -> dict:
     return {"count": count, "total_crc": total, "latest_date": latest}
 
 
+def get_salary_deposits(
+    limit: Annotated[int, Field(ge=1, le=100, description="How many deposits to return")] = 20,
+    start_date: Annotated[
+        Optional[str], Field(description="ISO date lower bound, inclusive")
+    ] = None,
+    end_date: Annotated[
+        Optional[str], Field(description="ISO date upper bound, exclusive")
+    ] = None,
+) -> list[dict]:
+    """Individual salary deposits, newest first. Use this for questions about
+    a specific salary or a day/range (for example, "cuánto recibí hoy").
+    Amounts remain in their recorded currency; use the currency field when
+    presenting them."""
+    q = select(Transaction).where(
+        col(Transaction.transaction_type).in_(SALARY_TRANSACTION_TYPES)
+    )
+    if start_date:
+        q = q.where(Transaction.date >= datetime.fromisoformat(start_date))
+    if end_date:
+        q = q.where(Transaction.date < datetime.fromisoformat(end_date))
+    q = q.order_by(col(Transaction.date).desc(), col(Transaction.id).desc()).limit(limit)
+    return [
+        {
+            "id": t.id,
+            "date": t.date.isoformat(),
+            "amount": float(t.amount),
+            "currency": t.currency.value,
+            "merchant": t.merchant,
+            "source": t.source.value,
+            "bank": t.bank.value,
+            "transaction_type": t.transaction_type.value,
+            "reference": t.reference,
+            "notes": t.notes,
+        }
+        for t in _s().exec(q).all()
+    ]
+
+
 def get_municipal_receipts(
     limit: Annotated[int, Field(ge=1, le=50)] = 12,
     offset: Annotated[int, Field(ge=0, description="Skip the N most recent")] = 0,
@@ -491,7 +536,68 @@ def list_categories() -> list[dict]:
 
 
 # Registered with the agent in agent.py
+def get_daily_spending(
+    start_date: Annotated[str, Field(description="ISO date lower bound, inclusive")],
+    end_date: Annotated[str, Field(description="ISO date upper bound, exclusive")],
+) -> list[dict]:
+    """Spending per day in CRC (converted), COMPRA only, excluding future
+    Tasa Cero cuotas and installment anchors. THE tool for day-scoped
+    questions: 'cuánto gasté hoy / ayer / el martes'. Days with no spending
+    are simply absent from the result."""
+    session = _s()
+    amount_crc = get_converted_amount_expr(session)
+    rows = session.exec(
+        select(
+            func.date(Transaction.date).label("day"),
+            func.coalesce(func.sum(amount_crc), 0),
+            func.count(),
+        )
+        .where(
+            Transaction.transaction_type == TransactionType.COMPRA,
+            NOT_INSTALLMENT_ANCHOR,
+            Transaction.date >= datetime.fromisoformat(start_date),
+            Transaction.date < datetime.fromisoformat(end_date),
+            # Future-dated Tasa Cero cuotas are not money already spent.
+            Transaction.date < datetime.combine(today_client() + timedelta(days=1), time.min),
+        )
+        .group_by(func.date(Transaction.date))
+        .order_by(func.date(Transaction.date))
+    ).all()
+    return [
+        {"date": str(day), "total_crc": float(total), "count": count}
+        for day, total, count in rows
+    ]
+
+
+def get_current_date() -> dict:
+    """Today's date in the user's own timezone (sent by their browser;
+    Costa Rica fallback) and the active credit-card billing cycle. ALWAYS
+    call this before resolving any relative date reference — 'hoy', 'ayer',
+    'este mes', 'este ciclo', 'el ciclo pasado' — the server clock and your
+    own assumptions about today are unreliable."""
+    today = today_client()
+    # get_cycle_range(y, m) is the cycle STARTING on the 18th of m; before
+    # the 18th we are still in the cycle that started last month.
+    if today.day >= 18:
+        cycle_year, cycle_month = today.year, today.month
+    elif today.month == 1:
+        cycle_year, cycle_month = today.year - 1, 12
+    else:
+        cycle_year, cycle_month = today.year, today.month - 1
+    start, end = get_cycle_range(cycle_year, cycle_month)
+    return {
+        "date": today.isoformat(),
+        "weekday": today.strftime("%A"),
+        "timezone": str(client_tz()),
+        "cycle_year": cycle_year,
+        "cycle_month": cycle_month,
+        "cycle_range": [start.date().isoformat(), end.date().isoformat()],
+    }
+
+
 TOOLS = [
+    get_current_date,
+    get_daily_spending,
     get_accounts,
     get_net_worth,
     get_recent_transactions,
@@ -500,6 +606,7 @@ TOOLS = [
     list_recurring_items,
     get_pension_snapshots,
     get_salary_summary,
+    get_salary_deposits,
     get_municipal_receipts,
     get_analytics_by_category,
     get_monthly_trend,

backend/app/api/v1/endpoints/chat.py

@@ -0,0 +1,41 @@
+"""Assistant chat thread management.
+
+The conversation itself is persisted by the AG-UI snapshot store
+(app/agent/snapshot_store.py) under a single ("default", "main") thread;
+this router only exposes the reset used by "Nueva conversación".
+"""
+
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+from sqlmodel import Session, select
+
+from app.auth import get_current_user
+from app.db import get_session
+from app.models.models import ChatThreadSnapshot
+
+router = APIRouter(prefix="/chat", tags=["chat"])
+
+CHAT_SCOPE = "default"
+CHAT_THREAD_ID = "main"
+
+
+class ClearThreadResponse(BaseModel):
+    cleared: bool
+
+
+@router.delete("/thread", response_model=ClearThreadResponse)
+def clear_thread(
+    session: Session = Depends(get_session),
+    _user: str = Depends(get_current_user),
+):
+    row = session.exec(
+        select(ChatThreadSnapshot).where(
+            ChatThreadSnapshot.scope == CHAT_SCOPE,
+            ChatThreadSnapshot.thread_id == CHAT_THREAD_ID,
+        )
+    ).first()
+    if row is None:
+        return {"cleared": False}
+    session.delete(row)
+    session.commit()
+    return {"cleared": True}

backend/app/api/v1/router.py

@@ -6,6 +6,7 @@ from app.api.v1.endpoints import (
     auth,
     budget,
     categories,
+    chat,
     exchange_rate,
     import_transactions,
     installments,
@@ -38,3 +39,4 @@ api_router.include_router(pensions.router)
 api_router.include_router(municipal_receipts.router)
 api_router.include_router(savings_accrual.router)
 api_router.include_router(sync_status.router)
+api_router.include_router(chat.router)

backend/app/config.py

@@ -20,7 +20,7 @@ class Settings(BaseSettings):
     VAPID_PUBLIC_KEY: str = ""
     VAPID_CLAIM_EMAIL: str = "mailto:admin@wealth.cescalante.dev"
     OPENAI_API_KEY: str = ""
-    AGENT_MODEL: str = "gpt-5.4-mini"
+    AGENT_MODEL: str = "gpt-5.6-luna"
 
     @property
     def cors_origins_list(self) -> list[str]:

backend/app/logging.py

@@ -0,0 +1,31 @@
+"""Structured, redacted application logging for container stdout."""
+
+from __future__ import annotations
+
+import json
+from datetime import date, datetime
+from enum import Enum
+from typing import Any
+
+
+class _JSONEncoder(json.JSONEncoder):
+    def default(self, value: Any) -> Any:
+        if isinstance(value, (datetime, date)):
+            return value.isoformat()
+        if isinstance(value, Enum):
+            return value.value
+        return super().default(value)
+
+
+def configure_structured_logging() -> None:
+    """Reserved lifecycle hook for the structured stdout audit channel."""
+
+
+def log_event(event: str, **fields: Any) -> None:
+    """Write a single JSON line; callers must not pass credentials or bodies."""
+    # stdout is Docker's durable capture point. `flush=True` also makes this
+    # visible immediately in `docker compose logs` during an active SSE run.
+    print(
+        json.dumps({"event": event, **fields}, cls=_JSONEncoder, separators=(",", ":")),
+        flush=True,
+    )

backend/app/main.py

@@ -1,6 +1,7 @@
 import asyncio
 import json
 import uuid
+from time import perf_counter
 from http.cookies import SimpleCookie
 from contextlib import asynccontextmanager
 
@@ -11,6 +12,15 @@ from jose import JWTError, jwt
 from pydantic import BaseModel
 
 from app.agent.agent import build_agent
+from app.agent.chat_audit import (
+    create_chat_run,
+    finish_pending_chat_run,
+    mark_chat_run_failed,
+    purge_expired_chat_runs_periodically,
+    reset_current_chat_run,
+    set_current_chat_run,
+)
+from app.agent.snapshot_store import PostgresSnapshotStore
 from app.agent.tools import reset_session, set_session
 from app.api.v1.router import api_router
 from app.auth import (
@@ -22,10 +32,47 @@ from app.auth import (
 from app.config import settings
 from app.db import get_session, run_alembic_upgrade
 from app.seed import seed_db
+from app.timeutil import reset_client_timezone, set_client_timezone
 from app.services.exchange_rate import refresh_rates_periodically
+from app.logging import configure_structured_logging, log_event
 
 
 AGENT_PATH = "/api/v1/agent/agui"
+MAX_USER_AGENT_LENGTH = 512
+
+
+def _request_client_details(request: Request) -> tuple[str, str | None, str | None]:
+    """Return the browser client details propagated through the frontend BFF.
+
+    Production nginx-proxy supplies X-Real-IP and the frontend forwards it to
+    FastAPI. For direct local development, fall back to X-Forwarded-For and
+    then the socket peer. The BFF is the only production path to the backend,
+    which is not publicly exposed.
+    """
+    client_ip = request.headers.get("x-real-ip", "").strip()
+    if not client_ip:
+        forwarded = request.headers.get("x-forwarded-for", "")
+        client_ip = forwarded.split(",", 1)[0].strip()
+    if not client_ip:
+        client_ip = request.client.host if request.client else "unknown"
+
+    user_agent = request.headers.get("user-agent", "").strip()[:MAX_USER_AGENT_LENGTH] or None
+    if not user_agent:
+        return client_ip, None, None
+    ua = user_agent.lower()
+    if "edg/" in ua or "edgios/" in ua:
+        browser = "Edge"
+    elif "opr/" in ua or "opera" in ua:
+        browser = "Opera"
+    elif "firefox/" in ua or "fxios/" in ua:
+        browser = "Firefox"
+    elif "chrome/" in ua or "crios/" in ua:
+        browser = "Chrome"
+    elif "safari/" in ua:
+        browser = "Safari"
+    else:
+        browser = "Other"
+    return client_ip, user_agent, browser
 
 
 def _pair_orphan_tool_calls(messages: list) -> list:
@@ -63,19 +110,60 @@ def _pair_orphan_tool_calls(messages: list) -> list:
     return out
 
 
+def _drop_stale_client_history(session, thread_id, messages: list) -> list:
+    """Conversation history is server-owned (the AG-UI snapshot store).
+
+    A request that carries assistant/tool history for a thread with NO
+    stored snapshot comes from a stale client — typically a second tab that
+    was open when 'Nueva conversación' cleared the thread. Trusting it
+    would re-persist the cleared conversation ('chunks' resurrecting after
+    every clear). Keep only the last user turn; MAF starts the thread
+    fresh from there.
+    """
+    if not thread_id or not messages:
+        return messages
+    has_history = any(m.get("role") in ("assistant", "tool") for m in messages)
+    if not has_history:
+        return messages
+    from sqlmodel import select
+
+    from app.models.models import ChatThreadSnapshot
+
+    row = session.exec(
+        select(ChatThreadSnapshot.id).where(
+            ChatThreadSnapshot.thread_id == str(thread_id)
+        )
+    ).first()
+    if row is not None:
+        return messages  # thread exists; history is legitimate
+    last_user = None
+    for i in range(len(messages) - 1, -1, -1):
+        if messages[i].get("role") == "user":
+            last_user = i
+            break
+    return messages[last_user:] if last_user is not None else []
+
+
 @asynccontextmanager
 async def lifespan(app: FastAPI):
+    configure_structured_logging()
     run_alembic_upgrade()
     seed_db()
     rate_refresh_task = asyncio.create_task(refresh_rates_periodically())
+    chat_audit_cleanup_task = asyncio.create_task(purge_expired_chat_runs_periodically())
     try:
         yield
     finally:
         rate_refresh_task.cancel()
+        chat_audit_cleanup_task.cancel()
         try:
             await rate_refresh_task
         except asyncio.CancelledError:
             pass
+        try:
+            await chat_audit_cleanup_task
+        except asyncio.CancelledError:
+            pass
 
 
 app = FastAPI(title="WealthySmart API", version="0.1.0", lifespan=lifespan)
@@ -89,6 +177,67 @@ app.add_middleware(
 )
 
 
+async def log_api_request(request: Request, call_next):
+    """Emit redacted, one-line diagnostics for API requests only.
+
+    This deliberately records no request/response bodies, headers, tokens,
+    passwords, or financial payloads. Full assistant content is retained only
+    in the bounded chat-run audit table.
+    """
+    request_id = uuid.uuid4().hex
+    request.state.request_id = request_id
+    client_ip, user_agent, browser = _request_client_details(request)
+    request.state.client_ip = client_ip
+    request.state.user_agent = user_agent
+    request.state.browser = browser
+    started = perf_counter()
+    status_code = 500
+    is_logged_api = request.url.path.startswith("/api/") and request.url.path != "/api/health"
+
+    def emit(error_type: str | None = None) -> None:
+        if not is_logged_api:
+            return
+        route = request.scope.get("route")
+        log_event(
+            "api_request",
+            request_id=request_id,
+            method=request.method,
+            path=getattr(route, "path", request.url.path),
+            status_code=status_code,
+            duration_ms=round((perf_counter() - started) * 1000, 1),
+            error_type=error_type,
+            client_ip=client_ip,
+            user_agent=user_agent,
+            browser=browser,
+        )
+
+    try:
+        response = await call_next(request)
+        status_code = response.status_code
+        response.headers["X-Request-ID"] = request_id
+        original_iterator = getattr(response, "body_iterator", None)
+        if original_iterator is None:
+            emit()
+            return response
+
+        async def logged_stream():
+            error_type: str | None = None
+            try:
+                async for chunk in original_iterator:
+                    yield chunk
+            except Exception as exc:
+                error_type = type(exc).__name__
+                raise
+            finally:
+                emit(error_type)
+
+        response.body_iterator = logged_stream()
+        return response
+    except Exception as exc:
+        emit(type(exc).__name__)
+        raise
+
+
 @app.middleware("http")
 async def agent_auth_and_session(request: Request, call_next):
     """For the AG-UI route, validate the JWT, repair message history, and
@@ -119,25 +268,94 @@ async def agent_auth_and_session(request: Request, call_next):
     except JWTError:
         return Response(status_code=401, content="Invalid token")
 
+    session_gen = get_session()
+    session = next(session_gen)
+    token_var = set_session(session)
+
+    chat_run_id: int | None = None
     # Repair orphan tool_calls before the MAF agent sees the message history.
     if request.method == "POST" and "application/json" in request.headers.get("content-type", ""):
         raw = await request.body()
         try:
             body = json.loads(raw)
             if isinstance(body.get("messages"), list):
+                body["messages"] = _drop_stale_client_history(
+                    session,
+                    body.get("threadId") or body.get("thread_id"),
+                    body["messages"],
+                )
                 body["messages"] = _pair_orphan_tool_calls(body["messages"])
                 raw = json.dumps(body).encode()
-        except Exception:
+            log_event(
-            pass
+                "agent_request",
+                request_id=request.state.request_id,
+                agui_run_id=body.get("runId"),
+                thread_id=body.get("threadId") or body.get("thread_id"),
+                message_count=len(body.get("messages") or []),
+                has_user_message=any(
+                    message.get("role") == "user" for message in body.get("messages") or []
+                ),
+                client_ip=request.state.client_ip,
+                user_agent=request.state.user_agent,
+                browser=request.state.browser,
+            )
+            # The BFF removes its `method: agent/run` envelope before
+            # forwarding to MAF. A non-empty user message is the reliable
+            # backend-side distinction between an agent run and hydration.
+            if any(message.get("role") == "user" for message in body.get("messages") or []):
+                chat_run_id = create_chat_run(
+                    request_id=request.state.request_id,
+                    agui_run_id=body.get("runId"),
+                    thread_id=body.get("threadId") or body.get("thread_id"),
+                    messages=body.get("messages") or [],
+                    client_ip=request.state.client_ip,
+                    user_agent=request.state.user_agent,
+                    browser=request.state.browser,
+                )
+        except Exception as exc:
+            # Parsing/repair must not prevent the agent endpoint from serving;
+            # the access log will still capture a resulting error response.
+            log_event(
+                "chat_audit_start_failed",
+                request_id=request.state.request_id,
+                error_type=type(exc).__name__,
+            )
+            body = None
         # Starlette caches the body; replace it so call_next sees the fixed bytes.
         request._body = raw  # type: ignore[attr-defined]
-
+    # Browser's IANA timezone, forwarded by the BFF — lets tools resolve
-    session_gen = get_session()
+    # "today" wherever the user is (falls back to Costa Rica).
-    session = next(session_gen)
+    tz_token = set_client_timezone(request.headers.get("x-client-timezone"))
-    token_var = set_session(session)
+    audit_token = set_current_chat_run(chat_run_id) if chat_run_id is not None else None
     try:
-        return await call_next(request)
+        response = await call_next(request)
+        if chat_run_id is None:
+            return response
+
+        original_iterator = response.body_iterator
+
+        async def audit_stream():
+            try:
+                async for chunk in original_iterator:
+                    yield chunk
+            except Exception as exc:
+                mark_chat_run_failed(chat_run_id, f"{type(exc).__name__}: {exc}")
+                raise
+            else:
+                # MAF normally finalizes via PostgresSnapshotStore.save(). If
+                # it emitted no snapshot, do not leave a permanently-open row.
+                finish_pending_chat_run(chat_run_id)
+
+        response.body_iterator = audit_stream()
+        return response
+    except Exception as exc:
+        if chat_run_id is not None:
+            mark_chat_run_failed(chat_run_id, f"{type(exc).__name__}: {exc}")
+        raise
     finally:
+        if audit_token is not None:
+            reset_current_chat_run(audit_token)
+        reset_client_timezone(tz_token)
         reset_session(token_var)
         try:
             next(session_gen)
@@ -145,11 +363,26 @@ async def agent_auth_and_session(request: Request, call_next):
             pass
 
 
+# FastAPI wraps function middlewares in reverse registration order. Register
+# this after the AG-UI auth middleware so it observes every API response,
+# including auth failures that return before calling the inner application.
+app.middleware("http")(log_api_request)
+
+
 # Register app routes
 app.include_router(api_router)
 
-# Mount the AG-UI agent endpoint.
+# Mount the AG-UI agent endpoint. The snapshot store persists the chat
-add_agent_framework_fastapi_endpoint(app, build_agent(), AGENT_PATH)
+# thread across page reloads; scope is a constant because this is a
+# single-user app and auth is already enforced by agent_auth_and_session
+# (the scope resolver only sees the AGUIRequest, which carries no identity).
+add_agent_framework_fastapi_endpoint(
+    app,
+    build_agent(),
+    AGENT_PATH,
+    snapshot_store=PostgresSnapshotStore(),
+    snapshot_scope_resolver=lambda _request: "default",
+)
 
 
 @app.get("/")

backend/app/models/models.py

@@ -4,7 +4,7 @@ from decimal import Decimal
 from typing import Annotated, Optional
 
 from pydantic import PlainSerializer
-from sqlalchemy import JSON, Column, UniqueConstraint
+from sqlalchemy import JSON, Column, Text, UniqueConstraint
 from sqlalchemy.dialects.postgresql import JSONB
 from sqlmodel import Field, Relationship, SQLModel
 
@@ -537,3 +537,67 @@ class WaterMeterReading(WaterMeterReadingBase, table=True):
 class WaterMeterReadingRead(WaterMeterReadingBase):
     id: int
     created_at: datetime
+
+
+# --- Assistant Chat Thread ---
+
+
+class ChatThreadSnapshot(SQLModel, table=True):
+    """Latest AG-UI thread snapshot per (scope, thread_id).
+
+    Written by app/agent/snapshot_store.py: MAF overwrites the full
+    cumulative message list at each run end — one row per thread, not an
+    append log.
+    """
+
+    __table_args__ = (UniqueConstraint("scope", "thread_id"),)
+
+    id: Optional[int] = Field(default=None, primary_key=True)
+    scope: str = Field(index=True)
+    thread_id: str
+    messages: list = Field(
+        default_factory=list,
+        sa_column=Column(JSON_OR_JSONB, nullable=False, server_default="[]"),
+    )
+    state: Optional[dict] = Field(
+        default=None, sa_column=Column(JSON_OR_JSONB, nullable=True)
+    )
+    interrupt: Optional[list] = Field(
+        default=None, sa_column=Column(JSON_OR_JSONB, nullable=True)
+    )
+    updated_at: datetime = Field(default_factory=utcnow)
+
+
+# --- Assistant Chat Run Audit ---
+
+
+class ChatRunLog(SQLModel, table=True):
+    """Append-only diagnostic record for an AG-UI agent/run request.
+
+    Thread snapshots are mutable conversation state. This table instead keeps
+    the request, model, tool activity, and final emitted answer for a bounded
+    retention period so individual assistant runs can be investigated later.
+    """
+
+    id: Optional[int] = Field(default=None, primary_key=True)
+    request_id: str = Field(index=True, unique=True)
+    agui_run_id: Optional[str] = Field(default=None, index=True)
+    requested_thread_id: Optional[str] = Field(default=None, index=True)
+    response_thread_id: Optional[str] = Field(default=None, index=True)
+    model: str
+    client_ip: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
+    user_agent: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
+    browser: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
+    user_prompt: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
+    tool_calls: list = Field(
+        default_factory=list,
+        sa_column=Column(JSON_OR_JSONB, nullable=False, server_default="[]"),
+    )
+    assistant_response: Optional[str] = Field(
+        default=None, sa_column=Column(Text, nullable=True)
+    )
+    status: str = Field(default="started", index=True)
+    error: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
+    started_at: datetime = Field(default_factory=utcnow)
+    completed_at: Optional[datetime] = Field(default=None)
+    expires_at: datetime = Field(index=True)

backend/app/timeutil.py

@@ -1,4 +1,55 @@
-from datetime import datetime, timezone
+import contextvars
+from datetime import date, datetime, timedelta, timezone, tzinfo
+from zoneinfo import ZoneInfo
+
+# Costa Rica has no DST; a fixed offset is exact year-round. This is the
+# FALLBACK when the request doesn't declare a timezone (n8n posts, tests).
+CR_TZ = timezone(timedelta(hours=-6))
+
+# Per-request client timezone, set by the agent middleware from the
+# X-Client-Timezone header (IANA name sent by the browser). Falls back to
+# Costa Rica so headless callers keep the owner's local semantics.
+_client_tz: contextvars.ContextVar[tzinfo] = contextvars.ContextVar(
+    "client_tz", default=CR_TZ
+)
+
+
+def set_client_timezone(name: str | None) -> contextvars.Token | None:
+    """Bind the request's IANA timezone; ignores unknown/absent names.
+
+    Proxies that see the header twice merge the values into a comma list
+    ("Zone, Zone") — take the first entry.
+    """
+    if not name:
+        return None
+    try:
+        return _client_tz.set(ZoneInfo(name.split(",")[0].strip()))
+    except (KeyError, ValueError):
+        return None
+
+
+def reset_client_timezone(token: contextvars.Token | None) -> None:
+    if token is not None:
+        _client_tz.reset(token)
+
+
+def client_tz() -> tzinfo:
+    return _client_tz.get()
+
+
+def today_client() -> date:
+    """Current date where the USER is (request timezone, CR fallback).
+
+    The server clock is UTC — at 6 pm in Costa Rica it is already "tomorrow"
+    in UTC. Anything user-facing that means "today" (agent answers, date
+    defaults) must come from here, never date.today().
+    """
+    return datetime.now(client_tz()).date()
+
+
+def today_cr() -> date:
+    """Current date in Costa Rica (UTC-6) — timezone-independent fallback."""
+    return datetime.now(CR_TZ).date()
 
 
 def utcnow() -> datetime:

backend/constraints.txt

@@ -1,8 +1,8 @@
 a2a-sdk==0.3.23
 ag-ui-protocol==0.1.19
-agent-framework==1.2.1
+agent-framework==1.11.0
 agent-framework-a2a==1.0.0b260428
-agent-framework-ag-ui==1.0.0b260428
+agent-framework-ag-ui==1.0.0rc8
 agent-framework-anthropic==1.0.0b260428
 agent-framework-azure-ai-search==1.0.0b260428
 agent-framework-azure-cosmos==1.0.0b260428
@@ -11,7 +11,7 @@ agent-framework-bedrock==1.0.0b260428
 agent-framework-chatkit==1.0.0b260428
 agent-framework-claude==1.0.0b260428
 agent-framework-copilotstudio==1.0.0b260428
-agent-framework-core==1.2.1
+agent-framework-core==1.11.0
 agent-framework-declarative==1.0.0b260428
 agent-framework-devui==1.0.0b260428
 agent-framework-durabletask==1.0.0b260428
@@ -21,7 +21,7 @@ agent-framework-github-copilot==1.0.0b260402
 agent-framework-lab==1.0.0b251024
 agent-framework-mem0==1.0.0b260428
 agent-framework-ollama==1.0.0b260428
-agent-framework-openai==1.2.1
+agent-framework-openai==1.10.1
 agent-framework-orchestrations==1.0.0b260428
 agent-framework-purview==1.0.0b260428
 agent-framework-redis==1.0.0b260428
@@ -165,7 +165,7 @@ six==1.17.0
 sniffio==1.3.1
 SQLAlchemy==2.0.50
 sqlmodel==0.0.38
-sse-starlette==3.4.4
+sse-starlette==3.4.5
 starlette==1.2.1
 tenacity==9.1.4
 tqdm==4.68.2

backend/requirements.txt

@@ -11,6 +11,6 @@ httpx
 pywebpush
 py-vapid
 python-dateutil
-agent-framework==1.2.1
+agent-framework==1.11.0
-agent-framework-ag-ui==1.0.0b260428
+agent-framework-ag-ui==1.0.0rc8
-agent-framework-openai==1.2.1
+agent-framework-openai==1.10.1

backend/tests/conftest.py

@@ -10,6 +10,9 @@ os.environ.setdefault(
 os.environ.setdefault("ADMIN_USERNAME", "testadmin")
 os.environ.setdefault("ADMIN_PASSWORD", "test-password")
 os.environ.setdefault("DATABASE_URL", "sqlite://")
+# app.main builds the MAF agent at import; the OpenAI client only needs a
+# syntactically-present key.
+os.environ.setdefault("OPENAI_API_KEY", "test-dummy-key")
 
 import pytest
 from sqlalchemy.pool import StaticPool

backend/tests/test_agent_config.py

@@ -0,0 +1,14 @@
+"""Assistant transport configuration."""
+
+from agent_framework.openai import OpenAIChatClient
+
+from app.agent import agent as agent_module
+
+
+def test_agent_uses_responses_client_for_the_configured_model(monkeypatch):
+    monkeypatch.setattr(agent_module.settings, "AGENT_MODEL", "gpt-5.6-luna")
+
+    agent = agent_module.build_agent()
+
+    assert isinstance(agent.client, OpenAIChatClient)
+    assert agent.client.model == "gpt-5.6-luna"

backend/tests/test_agent_tools.py

@@ -17,6 +17,7 @@ from app.models.models import (
     MunicipalReceipt,
     PensionSnapshot,
     Transaction,
+    TransactionType,
     WaterMeterReading,
 )
 
@@ -149,3 +150,137 @@ def test_recent_transactions_json_safe(bound_session):
     out = tools.get_recent_transactions()
     json.dumps(out)
     assert out[0]["amount"] == 42.42
+
+
+def test_recent_transactions_exclude_future_cuotas(bound_session):
+    from datetime import timedelta
+
+    from app.timeutil import today_cr
+
+    today = datetime.combine(today_cr(), datetime.min.time())
+    bound_session.add(
+        Transaction(amount=Decimal("10"), merchant="BILLED", date=today)
+    )
+    bound_session.add(
+        Transaction(
+            amount=Decimal("20"),
+            merchant="FUTURE CUOTA:03/06",
+            date=today + timedelta(days=45),
+        )
+    )
+    bound_session.commit()
+    merchants = [t["merchant"] for t in tools.get_recent_transactions()]
+    assert "BILLED" in merchants
+    assert "FUTURE CUOTA:03/06" not in merchants
+
+
+def test_salary_deposits_returns_individual_filtered_rows(bound_session):
+    bound_session.add_all(
+        [
+            Transaction(
+                amount=Decimal("1500"),
+                merchant="SALARY JULY",
+                date=datetime(2026, 7, 14, 9),
+                transaction_type=TransactionType.SALARY,
+                reference="PAY-2026-07",
+            ),
+            Transaction(
+                amount=Decimal("1400"),
+                merchant="SALARY JUNE",
+                date=datetime(2026, 6, 14, 9),
+                transaction_type=TransactionType.SALARY,
+            ),
+            Transaction(
+                amount=Decimal("999"),
+                merchant="PURCHASE",
+                date=datetime(2026, 7, 14, 10),
+            ),
+        ]
+    )
+    bound_session.commit()
+
+    out = tools.get_salary_deposits(
+        start_date="2026-07-14", end_date="2026-07-15"
+    )
+
+    json.dumps(out)
+    assert out == [
+        {
+            "id": out[0]["id"],
+            "date": "2026-07-14T09:00:00",
+            "amount": 1500.0,
+            "currency": "CRC",
+            "merchant": "SALARY JULY",
+            "source": "CREDIT_CARD",
+            "bank": "BAC",
+            "transaction_type": "SALARY",
+            "reference": "PAY-2026-07",
+            "notes": None,
+        }
+    ]
+
+
+def test_get_current_date_is_costa_rica_and_cycle_consistent():
+    from app.timeutil import today_cr
+
+    out = tools.get_current_date()
+    today = today_cr()
+    assert out["date"] == today.isoformat()
+    # The active cycle must contain today: [start, end)
+    start, end = out["cycle_range"]
+    assert start <= out["date"] < end
+    assert start.endswith("-18") and end.endswith("-18")
+
+
+def test_daily_spending_day_scoped(bound_session):
+    from datetime import timedelta
+
+    from app.timeutil import today_cr
+
+    today = datetime.combine(today_cr(), datetime.min.time())
+    bound_session.add(
+        Transaction(amount=Decimal("100"), merchant="TODAY-A", date=today.replace(hour=9))
+    )
+    bound_session.add(
+        Transaction(amount=Decimal("50"), merchant="TODAY-B", date=today.replace(hour=15))
+    )
+    bound_session.add(
+        Transaction(
+            amount=Decimal("999"),
+            merchant="FUTURE CUOTA",
+            date=today + timedelta(days=40),
+        )
+    )
+    bound_session.commit()
+
+    out = tools.get_daily_spending(
+        start_date=today.date().isoformat(),
+        end_date=(today.date() + timedelta(days=60)).isoformat(),
+    )
+    assert len(out) == 1
+    assert out[0]["date"] == today.date().isoformat()
+    assert out[0]["total_crc"] == 150.0
+    assert out[0]["count"] == 2
+
+
+def test_get_current_date_respects_client_timezone():
+    from datetime import datetime, timezone as tz
+
+    from app.timeutil import (
+        client_tz,
+        reset_client_timezone,
+        set_client_timezone,
+    )
+
+    token = set_client_timezone("Asia/Tokyo")
+    try:
+        out = tools.get_current_date()
+        assert out["timezone"] == "Asia/Tokyo"
+        assert out["date"] == datetime.now(client_tz()).date().isoformat()
+    finally:
+        reset_client_timezone(token)
+
+    # Unknown names are ignored — CR fallback stays active.
+    assert set_client_timezone("Not/AZone") is None
+    assert set_client_timezone(None) is None
+    assert tools.get_current_date()["timezone"] == "UTC-06:00"

backend/tests/test_chat_audit.py

@@ -0,0 +1,139 @@
+"""Chat-run audit persistence and redacted HTTP access logs."""
+
+import asyncio
+from datetime import timedelta
+
+from agent_framework_ag_ui import AGUIThreadSnapshot
+from starlette.requests import Request
+from starlette.responses import Response
+from sqlmodel import select
+
+import app.agent.chat_audit as chat_audit
+import app.agent.snapshot_store as snapshot_store_module
+from app.agent.snapshot_store import PostgresSnapshotStore
+from app.models.models import ChatRunLog
+from app.timeutil import utcnow
+
+
+def _audit_store(monkeypatch, engine):
+    monkeypatch.setattr(chat_audit, "engine", engine)
+    monkeypatch.setattr(snapshot_store_module, "engine", engine)
+    return PostgresSnapshotStore()
+
+
+def test_snapshot_completes_chat_run_with_tools_and_response(monkeypatch, engine, session):
+    store = _audit_store(monkeypatch, engine)
+    run_id = chat_audit.create_chat_run(
+        request_id="req-1",
+        agui_run_id="run-1",
+        thread_id="main",
+        messages=[{"role": "user", "content": "¿Cuál es mi saldo?"}],
+        client_ip="203.0.113.7",
+        user_agent="Mozilla/5.0 TestBrowser/1.0",
+        browser="TestBrowser",
+    )
+    token = chat_audit.set_current_chat_run(run_id)
+    try:
+        asyncio.run(
+            store.save(
+                scope="default",
+                thread_id="resp_123",
+                snapshot=AGUIThreadSnapshot(
+                    messages=[
+                        {"id": "u1", "role": "user", "content": "¿Cuál es mi saldo?"},
+                        {
+                            "id": "a1",
+                            "role": "assistant",
+                            "content": None,
+                            "tool_calls": [
+                                {
+                                    "id": "call-1",
+                                    "type": "function",
+                                    "function": {"name": "get_net_worth", "arguments": "{}"},
+                                }
+                            ],
+                        },
+                        {"id": "t1", "role": "tool", "tool_call_id": "call-1", "content": "{\"net_crc\": 1}"},
+                        {"id": "a2", "role": "assistant", "content": "Tu saldo es ₡1."},
+                    ]
+                ),
+            )
+        )
+    finally:
+        chat_audit.reset_current_chat_run(token)
+
+    row = session.get(ChatRunLog, run_id)
+    assert row is not None
+    assert row.status == "completed"
+    assert row.agui_run_id == "run-1"
+    assert row.response_thread_id == "resp_123"
+    assert row.user_prompt == "¿Cuál es mi saldo?"
+    assert row.client_ip == "203.0.113.7"
+    assert row.user_agent == "Mozilla/5.0 TestBrowser/1.0"
+    assert row.browser == "TestBrowser"
+    assert row.assistant_response == "Tu saldo es ₡1."
+    assert row.tool_calls == [
+        {
+            "id": "call-1",
+            "name": "get_net_worth",
+            "arguments": "{}",
+            "result": '{"net_crc": 1}',
+        }
+    ]
+
+
+def test_failure_and_retention_cleanup(monkeypatch, engine, session):
+    _audit_store(monkeypatch, engine)
+    failed_id = chat_audit.create_chat_run(
+        request_id="req-failed", agui_run_id="run-failed", thread_id="main", messages=[]
+    )
+    chat_audit.mark_chat_run_failed(failed_id, "RuntimeError: provider unavailable")
+    assert session.get(ChatRunLog, failed_id).status == "failed"
+
+    expired = ChatRunLog(
+        request_id="req-expired",
+        model="gpt-5.6-luna",
+        expires_at=utcnow() - timedelta(seconds=1),
+    )
+    session.add(expired)
+    session.commit()
+
+    assert chat_audit.purge_expired_chat_runs() == 1
+    assert session.exec(select(ChatRunLog).where(ChatRunLog.request_id == "req-expired")).first() is None
+
+
+def test_api_access_log_never_contains_request_body(monkeypatch):
+    from app.main import log_api_request
+
+    logged = []
+    monkeypatch.setattr("app.main.log_event", lambda event, **fields: logged.append((event, fields)))
+    scope = {
+        "type": "http",
+        "method": "POST",
+        "path": "/api/auth/login",
+        "raw_path": b"/api/auth/login",
+        "query_string": b"",
+        "headers": [
+            (b"x-real-ip", b"203.0.113.9"),
+            (b"user-agent", b"Mozilla/5.0 Chrome/138.0.0.0 Safari/537.36"),
+        ],
+        "scheme": "http",
+        "server": ("testserver", 80),
+        "client": ("testclient", 1234),
+    }
+    request = Request(scope)
+
+    async def call_next(_request):
+        return Response(status_code=201)
+
+    response = asyncio.run(log_api_request(request, call_next))
+    assert response.headers["X-Request-ID"]
+    assert logged[0][0] == "api_request"
+    fields = logged[0][1]
+    assert fields["path"] == "/api/auth/login"
+    assert fields["status_code"] == 201
+    assert fields["client_ip"] == "203.0.113.9"
+    assert fields["browser"] == "Chrome"
+    assert fields["user_agent"] == "Mozilla/5.0 Chrome/138.0.0.0 Safari/537.36"
+    assert "password" not in fields
+    assert "body" not in fields

backend/tests/test_chat_persistence.py

@@ -0,0 +1,167 @@
+"""Chat thread persistence: snapshot store round-trip + clear endpoint."""
+
+import asyncio
+
+from agent_framework_ag_ui import AGUIThreadSnapshot
+from sqlmodel import select
+
+import app.agent.snapshot_store as snapshot_store_module
+from app.agent.snapshot_store import PostgresSnapshotStore
+from app.api.v1.endpoints.chat import clear_thread
+from app.models.models import ChatThreadSnapshot
+
+
+def _store(monkeypatch, engine):
+    # The store opens its own sessions from app.db.engine; point it at the
+    # test engine instead.
+    monkeypatch.setattr(snapshot_store_module, "engine", engine)
+    return PostgresSnapshotStore()
+
+
+def test_save_get_roundtrip_normalizes_and_filters(monkeypatch, engine):
+    store = _store(monkeypatch, engine)
+    snapshot = AGUIThreadSnapshot(
+        messages=[
+            {"id": "u1", "role": "user", "content": "hola"},
+            {
+                "id": "a1",
+                "role": "assistant",
+                "content": "",
+                # MAF emits snake_case; the store must return camelCase so
+                # @ag-ui/client's Zod schema doesn't strip it.
+                "tool_calls": [{"id": "t1", "type": "function"}],
+            },
+            {"id": "t1r", "role": "tool", "content": "ok", "tool_call_id": "t1"},
+            # MAF writes tool_calls: null on plain-text assistant messages —
+            # must not survive as toolCalls: null in the replay.
+            {"id": "a2", "role": "assistant", "content": "done", "tool_calls": None},
+            {"id": "ctx-123", "role": "system", "content": "run context"},
+        ],
+        state={"k": "v"},
+    )
+    asyncio.run(store.save(scope="default", thread_id="main", snapshot=snapshot))
+
+    loaded = asyncio.run(store.get(scope="default", thread_id="main"))
+    assert loaded is not None
+    assert [m["id"] for m in loaded.messages] == ["u1", "a1", "t1r", "a2"]
+    assistant = loaded.messages[1]
+    assert "tool_calls" not in assistant
+    assert assistant["toolCalls"] == [{"id": "t1", "type": "function"}]
+    tool_msg = loaded.messages[2]
+    assert "tool_call_id" not in tool_msg
+    assert tool_msg["toolCallId"] == "t1"
+    text_msg = loaded.messages[3]
+    assert "toolCalls" not in text_msg and "tool_calls" not in text_msg
+    assert loaded.state == {"k": "v"}
+
+
+def test_save_upserts_single_row(monkeypatch, engine, session):
+    store = _store(monkeypatch, engine)
+    for n in range(3):
+        snap = AGUIThreadSnapshot(
+            messages=[{"id": f"u{i}", "role": "user", "content": str(i)} for i in range(n + 1)]
+        )
+        asyncio.run(store.save(scope="default", thread_id="main", snapshot=snap))
+
+    rows = session.exec(select(ChatThreadSnapshot)).all()
+    assert len(rows) == 1
+    assert len(rows[0].messages) == 3
+
+
+def test_get_unknown_thread_returns_none(monkeypatch, engine):
+    store = _store(monkeypatch, engine)
+    assert asyncio.run(store.get(scope="default", thread_id="nope")) is None
+
+
+def test_delete_and_scope_isolation(monkeypatch, engine):
+    store = _store(monkeypatch, engine)
+    snap = AGUIThreadSnapshot(messages=[{"id": "u1", "role": "user", "content": "x"}])
+    asyncio.run(store.save(scope="default", thread_id="main", snapshot=snap))
+
+    assert asyncio.run(store.get(scope="other", thread_id="main")) is None
+    assert asyncio.run(store.delete(scope="default", thread_id="main")) is True
+    assert asyncio.run(store.delete(scope="default", thread_id="main")) is False
+    assert asyncio.run(store.get(scope="default", thread_id="main")) is None
+
+
+def test_save_dedupes_multi_run_turn(monkeypatch, engine):
+    """Mirror of MAF's duplicate merge on frontend-tool roundtrips: repeated
+    message ids, a re-issued identical render call, and extra tool results."""
+    store = _store(monkeypatch, engine)
+
+    def call(cid, name, args='{"a":1}'):
+        return {"id": cid, "type": "function", "function": {"name": name, "arguments": args}}
+
+    snapshot = AGUIThreadSnapshot(
+        messages=[
+            {"id": "u1", "role": "user", "content": "resumen"},
+            {"id": "a1", "role": "assistant", "content": "",
+             "tool_calls": [call("c1", "get_cycle_summary"), call("c2", "render_spending_summary")]},
+            {"id": "t1", "role": "tool", "content": "data", "tool_call_id": "c1"},
+            # MAF re-records the resent suffix verbatim…
+            {"id": "u1", "role": "user", "content": "resumen"},
+            {"id": "t1", "role": "tool", "content": "data", "tool_call_id": "c1"},
+            {"id": "t2", "role": "tool", "content": "ok", "tool_call_id": "c2"},
+            # …plus a synthetic second result for an answered call…
+            {"id": "t3", "role": "tool", "content": "", "tool_call_id": "c1"},
+            # …and the model re-issues the same render call with a new id.
+            {"id": "a2", "role": "assistant", "content": "",
+             "tool_calls": [call("c3", "render_spending_summary")]},
+            {"id": "t4", "role": "tool", "content": "ok", "tool_call_id": "c3"},
+        ]
+    )
+    asyncio.run(store.save(scope="default", thread_id="main", snapshot=snapshot))
+
+    loaded = asyncio.run(store.get(scope="default", thread_id="main"))
+    assert [m["id"] for m in loaded.messages] == ["u1", "a1", "t1", "t2"]
+    # The duplicate render call (c3) and its result are gone; each surviving
+    # call has exactly one result.
+    assert [tc["id"] for tc in loaded.messages[1]["toolCalls"]] == ["c1", "c2"]
+    assert [(m["toolCallId"]) for m in loaded.messages if m["role"] == "tool"] == ["c1", "c2"]
+
+
+def test_clear_thread_endpoint(monkeypatch, engine, session):
+    store = _store(monkeypatch, engine)
+    assert clear_thread(session=session, _user="testadmin") == {"cleared": False}
+
+    snap = AGUIThreadSnapshot(messages=[{"id": "u1", "role": "user", "content": "x"}])
+    asyncio.run(store.save(scope="default", thread_id="main", snapshot=snap))
+
+    assert clear_thread(session=session, _user="testadmin") == {"cleared": True}
+    assert asyncio.run(store.get(scope="default", thread_id="main")) is None
+
+
+def test_drop_stale_client_history(session, monkeypatch, engine):
+    from app.main import _drop_stale_client_history
+
+    history = [
+        {"role": "user", "content": "vieja pregunta"},
+        {"role": "assistant", "content": "vieja respuesta"},
+        {"role": "tool", "content": "x", "toolCallId": "t1"},
+        {"role": "user", "content": "nueva pregunta"},
+    ]
+
+    # No stored snapshot for the thread → stale client: keep last user turn.
+    assert _drop_stale_client_history(session, "main", list(history)) == [
+        {"role": "user", "content": "nueva pregunta"}
+    ]
+
+    # Fresh conversation (no assistant/tool yet) passes through.
+    fresh = [{"role": "user", "content": "hola"}]
+    assert _drop_stale_client_history(session, "main", list(fresh)) == fresh
+
+    # Empty messages (hydration trigger) pass through.
+    assert _drop_stale_client_history(session, "main", []) == []
+
+    # With a stored snapshot the full history is legitimate.
+    store = _store(monkeypatch, engine)
+    asyncio.run(
+        store.save(
+            scope="default",
+            thread_id="main",
+            snapshot=AGUIThreadSnapshot(
+                messages=[{"id": "u1", "role": "user", "content": "hola"}]
+            ),
+        )
+    )
+    assert _drop_stale_client_history(session, "main", list(history)) == history

docker-compose.prod.yml

@@ -16,6 +16,11 @@ services:
       interval: 10s
       timeout: 5s
       retries: 5
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
 
   backend:
     build:
@@ -31,11 +36,17 @@ services:
       VAPID_PRIVATE_KEY: ${VAPID_PRIVATE_KEY}
       VAPID_PUBLIC_KEY: ${VAPID_PUBLIC_KEY}
       OPENAI_API_KEY: ${OPENAI_API_KEY}
-      AGENT_MODEL: ${AGENT_MODEL:-gpt-5.4-mini}
+      AGENT_MODEL: ${AGENT_MODEL:-gpt-5.6-luna}
+      # MAF 1.6+ enables OTel instrumentation by default; keep it off explicitly.
+      ENABLE_INSTRUMENTATION: "false"
     expose:
       - "8000"
     networks:
-      - wealthysmart-network
+      wealthysmart-network:
+        # Avoid the generic `backend` name, which is also used on the shared
+        # nginx network by another application.
+        aliases:
+          - wealthysmart-api
     depends_on:
       db:
         condition: service_healthy
@@ -45,6 +56,11 @@ services:
       timeout: 5s
       retries: 3
       start_period: 10s
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
 
   frontend:
     build:
@@ -57,8 +73,8 @@ services:
     restart: unless-stopped
     environment:
       NODE_ENV: production
-      BACKEND_URL: http://wealthysmart-backend-prod:8000
+      BACKEND_URL: http://wealthysmart-api:8000
-      AGENT_URL: http://wealthysmart-backend-prod:8000/api/v1/agent/agui
+      AGENT_URL: http://wealthysmart-api:8000/api/v1/agent/agui
       JWT_SECRET: ${SECRET_KEY}
       COOKIE_DOMAIN: wealth.cescalante.dev
       COOKIE_SECURE: "true"
@@ -78,6 +94,11 @@ services:
       interval: 30s
       timeout: 10s
       retries: 3
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
 
 networks:
   wealthysmart-network:

docker-compose.yml

@@ -15,6 +15,11 @@ services:
       interval: 5s
       timeout: 3s
       retries: 5
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
 
   backend:
     build:
@@ -30,7 +35,9 @@ services:
       VAPID_PRIVATE_KEY: ${VAPID_PRIVATE_KEY:-}
       VAPID_PUBLIC_KEY: ${VAPID_PUBLIC_KEY:-}
       OPENAI_API_KEY: ${OPENAI_API_KEY:-}
-      AGENT_MODEL: ${AGENT_MODEL:-gpt-5.4-mini}
+      AGENT_MODEL: ${AGENT_MODEL:-gpt-5.6-luna}
+      # MAF 1.6+ enables OTel instrumentation by default; keep it off explicitly.
+      ENABLE_INSTRUMENTATION: "false"
     ports:
       - "8001:8000"
     volumes:
@@ -38,6 +45,11 @@ services:
     depends_on:
       db:
         condition: service_healthy
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
     develop:
       watch:
         - path: ./backend/app
@@ -58,9 +70,17 @@ services:
       - "5175:3000"
     environment:
       NODE_ENV: development
+      # Vite runs inside this container, so localhost would refer to the
+      # frontend rather than the Python service.
+      BACKEND_URL: http://backend:8000
       AGENT_URL: http://backend:8000/api/v1/agent/agui
     depends_on:
       - backend
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "5"
     develop:
       watch:
         - path: ./frontend/src

frontend/e2e/asistente.spec.ts

@@ -0,0 +1,113 @@
+import { expect, test, type Page } from "@playwright/test";
+
+test.setTimeout(150_000);
+
+async function startFreshAssistant(page: Page) {
+  await page.goto("/login");
+  await page.getByLabel("Username").fill(process.env.ADMIN_USERNAME!);
+  await page.getByLabel("Password").fill(process.env.ADMIN_PASSWORD!);
+  await page.getByRole("button", { name: /sign in/i }).click();
+  await page.waitForURL("/");
+
+  const initialConnect = page.waitForResponse((response) => {
+    if (!response.url().includes("/api/copilotkit") || response.request().method() !== "POST") {
+      return false;
+    }
+    try {
+      return JSON.parse(response.request().postData() ?? "{}").method === "agent/connect";
+    } catch {
+      return false;
+    }
+  });
+  await page.goto("/asistente");
+  await expect(page.getByRole("heading", { name: "Asistente" })).toBeVisible();
+  await (await initialConnect).finished();
+
+  const newConversation = page.getByRole("button", { name: "Nueva conversación" });
+  if (await newConversation.isEnabled()) {
+    await newConversation.click();
+    const reconnect = page.waitForResponse((response) => {
+      if (!response.url().includes("/api/copilotkit") || response.request().method() !== "POST") {
+        return false;
+      }
+      try {
+        return JSON.parse(response.request().postData() ?? "{}").method === "agent/connect";
+      } catch {
+        return false;
+      }
+    });
+    await page.getByRole("button", { name: "Borrar historial" }).click();
+    await (await reconnect).finished();
+    await expect(
+      page.getByRole("textbox", { name: "Escribe tu pregunta…" }),
+    ).toBeEnabled({ timeout: 30_000 });
+  }
+}
+
+async function ask(page: Page, question: string, expectedTool: string) {
+  // The BFF response is the exact CopilotKit stream consumed by the browser.
+  // Checking it catches server-side RUN_ERROR events even if the UI changes.
+  const stream = page.waitForResponse(
+    (response) => {
+      if (
+        !response.url().includes("/api/copilotkit") ||
+        response.request().method() !== "POST"
+      ) {
+        return false;
+      }
+      try {
+        return JSON.parse(response.request().postData() ?? "{}").method === "agent/run";
+      } catch {
+        return false;
+      }
+    },
+  );
+  const composer = page.getByRole("textbox", { name: "Escribe tu pregunta…" });
+  await expect(composer).toBeEnabled({ timeout: 30_000 });
+  await composer.fill(question);
+  const sendButton = page.getByTestId("copilot-send-button");
+  await expect(sendButton).toBeEnabled({ timeout: 30_000 });
+  await sendButton.click();
+  await expect(page.getByText(question, { exact: true }).last()).toBeVisible();
+
+  const response = await stream;
+  await response.finished();
+  const events = await response.text();
+  expect(events).not.toContain("RUN_ERROR");
+  expect(events).toContain(expectedTool);
+
+  // The HTTP stream may finish before CopilotKit has committed the tool run
+  // and released its client-side running state. Waiting for the page action
+  // avoids losing the next Enter keypress during that short interval.
+  await expect(page.getByRole("button", { name: "Nueva conversación" })).toBeEnabled({
+    timeout: 30_000,
+  });
+}
+
+test("Asistente completes Luna's read-only tool flows", async ({ page }) => {
+  const consoleErrors: string[] = [];
+  page.on("console", (message) => {
+    if (message.type() === "error") consoleErrors.push(message.text());
+  });
+
+  await startFreshAssistant(page);
+
+  await ask(page, "What date is it today?", "get_current_date");
+  await ask(page, "List my last 10 transactions.", "get_recent_transactions");
+  await ask(page, "What is my net worth?", "get_net_worth");
+  await ask(page, "How much did I spend today?", "get_daily_spending");
+  await ask(page, "Show my spending by category this month.", "render_spending_summary");
+
+  const spendingCard = page.getByTestId("spending-summary-card");
+  await expect(spendingCard).toBeVisible({ timeout: 30_000 });
+  await expect(page.getByRole("textbox", { name: "Escribe tu pregunta…" })).toBeEnabled({
+    timeout: 30_000,
+  });
+
+  await page.reload();
+  await expect(page.getByRole("heading", { name: "Asistente" })).toBeVisible();
+  await expect(page.getByText("Show my spending by category this month.", { exact: true })).toBeVisible();
+  await expect(page.getByTestId("spending-summary-card")).toBeVisible();
+
+  expect(consoleErrors.join("\n")).not.toContain("ChatClientException");
+});

frontend/e2e/feature-doc.ts

@@ -0,0 +1,127 @@
+import fs from "node:fs";
+import path from "node:path";
+import { test, type Page, type TestInfo } from "@playwright/test";
+import * as narration from "./narration";
+import { renderFinalVideo } from "./video-render";
+import type { Clip } from "./subtitles";
+
+const DEMO = !!process.env.PW_DEMO;
+
+/**
+ * Wraps test.step() so every step of a demo spec produces a captioned
+ * screenshot, and — in PW_DEMO mode — a native Playwright screencast
+ * recording with cursor annotations, chapter-title cards, burned-in
+ * subtitles and (when `say` is available) spoken Spanish narration.
+ * Screenshots/video/subtitles land in e2e-docs/<slug>/ and are also
+ * attached to the Playwright HTML report; save() stitches everything into
+ * a Markdown walkthrough that can be published as-is.
+ */
+export class FeatureDoc {
+  private steps: { title: string; caption: string; file: string }[] = [];
+  private clips: Clip[] = [];
+  private readonly dir: string;
+  private recordingStartedAt = 0;
+
+  constructor(
+    private page: Page,
+    private testInfo: TestInfo,
+    private slug: string,
+    private title: string,
+    private intro: string,
+  ) {
+    this.dir = path.resolve("e2e-docs", slug);
+    fs.rmSync(this.dir, { recursive: true, force: true });
+    fs.mkdirSync(this.dir, { recursive: true });
+  }
+
+  /** Starts the native screencast recording. Call before the first step(). */
+  async start() {
+    if (!DEMO) return;
+    this.recordingStartedAt = Date.now();
+    await this.page.screencast.start({
+      path: path.join(this.dir, "raw.webm"),
+      size: { width: 1920, height: 1080 },
+    });
+    await this.page.screencast.showActions({ cursor: "pointer" });
+  }
+
+  async step(title: string, caption: string, fn: () => Promise<void>) {
+    const narrationPromise = DEMO
+      ? narration.synthesize(caption, this.testInfo.outputDir, this.clips.length)
+      : Promise.resolve(null);
+
+    const stepStart = Date.now();
+    if (DEMO) {
+      await this.page.screencast.showChapter(title, { description: caption, duration: 1500 });
+    }
+
+    await test.step(title, fn);
+
+    const narrationResult = await narrationPromise;
+    if (DEMO) {
+      const elapsed = Date.now() - stepStart;
+      const target = (narrationResult?.durationMs ?? 0) + 300;
+      if (target > elapsed) await this.page.waitForTimeout(target - elapsed);
+    }
+
+    const file = `${String(this.steps.length + 1).padStart(2, "0")}-${title
+      .toLowerCase()
+      .normalize("NFD")
+      .replace(/[̀-ͯ]+/g, "")
+      .replace(/[^a-z0-9]+/g, "-")
+      .replace(/^-|-$/g, "")}.png`;
+    const body = await this.page.screenshot({
+      path: path.join(this.dir, file),
+      animations: "disabled",
+    });
+    await this.testInfo.attach(title, { body, contentType: "image/png" });
+    this.steps.push({ title, caption, file });
+
+    if (DEMO) {
+      this.clips.push({
+        title,
+        caption,
+        file,
+        startMs: stepStart - this.recordingStartedAt,
+        endMs: Date.now() - this.recordingStartedAt,
+        narration: narrationResult,
+      });
+    }
+  }
+
+  async save() {
+    let videoName = "video.mp4";
+    if (DEMO) {
+      await this.page.screencast.stop();
+      const { videoFile, degraded } = await renderFinalVideo({
+        rawWebmPath: path.join(this.dir, "raw.webm"),
+        clips: this.clips,
+        outDir: this.dir,
+      });
+      for (const warning of degraded) console.warn(`[${this.slug}] ${warning}`);
+      videoName = path.basename(videoFile);
+      await this.testInfo.attach("video", {
+        path: videoFile,
+        contentType: videoName.endsWith(".mp4") ? "video/mp4" : "video/webm",
+      });
+    }
+
+    const md = [
+      `# ${this.title}`,
+      "",
+      this.intro,
+      "",
+      `> Generado automáticamente por \`${path.basename(this.testInfo.file)}\` — ${this.steps.length} pasos. El video completo del recorrido está en [${videoName}](${videoName}).`,
+      "",
+      ...this.steps.flatMap((s, i) => [
+        `## ${i + 1}. ${s.title}`,
+        "",
+        s.caption,
+        "",
+        `![${s.title}](${s.file})`,
+        "",
+      ]),
+    ].join("\n");
+    fs.writeFileSync(path.join(this.dir, "index.md"), md);
+  }
+}

frontend/e2e/financiamientos-demo.spec.ts

@@ -0,0 +1,102 @@
+import { test, expect } from "@playwright/test";
+import { FeatureDoc } from "./feature-doc";
+
+/**
+ * Demo walkthrough of the Financiamientos (Tasa Cero) feature. Doubles as an
+ * e2e smoke test and as the generator for e2e-docs/financiamientos/ — a
+ * captioned, screenshot-per-step Markdown doc plus the full video (native
+ * cursor/chapters, burned-in subtitles, spoken narration) in the Playwright
+ * HTML report.
+ */
+// NOTE: do not `test.use({ video: "off" })` here — disabling the fixture
+// video breaks page.screencast's internal sizing (verified: it then records
+// a shrunken frame letterboxed inside the requested canvas). The fixture's
+// own video ends up redundant/unused but harmless.
+
+test("@demo Financiamientos — compras Tasa Cero en cuotas", async ({ page }, testInfo) => {
+  const doc = new FeatureDoc(
+    page,
+    testInfo,
+    "financiamientos",
+    "Financiamientos — Tasa Cero",
+    "WealthySmart trackea las compras BAC Tasa Cero como planes de cuotas mensuales: cada cuota futura ya cuenta en el presupuesto del mes que le toca, en lugar de registrar la compra como un solo pago.",
+  );
+  await doc.start();
+
+  await doc.step(
+    "Iniciar sesión",
+    "El acceso está protegido con usuario y contraseña; la sesión vive en una cookie HTTP-only.",
+    async () => {
+      await page.goto("/login");
+      // CopilotKit mounts its dev web-inspector in dev builds; keep it out of
+      // the recording — it isn't part of the product.
+      await page.addStyleTag({ content: "cpk-web-inspector { display: none !important; }" });
+      await page.getByLabel("Username").fill(process.env.ADMIN_USERNAME!);
+      await page.getByLabel("Password").fill(process.env.ADMIN_PASSWORD!);
+      await expect(page.getByRole("button", { name: /sign in/i })).toBeEnabled();
+    },
+  );
+
+  await doc.step(
+    "Panel de inicio",
+    "Después del login se llega al dashboard Inicio, con el resumen del mes y la navegación lateral por módulos.",
+    async () => {
+      await page.getByRole("button", { name: /sign in/i }).click();
+      await page.waitForURL("/");
+      await expect(page.getByRole("link", { name: "Financiamientos", exact: true })).toBeVisible();
+      await page.waitForLoadState("networkidle");
+    },
+  );
+
+  await doc.step(
+    "Modo privacidad",
+    "El botón de privacidad difumina todos los montos sensibles — útil para compartir pantalla (y para este demo).",
+    async () => {
+      await page.getByRole("button", { name: "Toggle privacy mode" }).click();
+      await expect(page.locator("html")).toHaveClass(/privacy/);
+    },
+  );
+
+  await doc.step(
+    "Página de Financiamientos",
+    "El módulo resume todos los planes Tasa Cero: saldo faltante total, cuánto suman las cuotas de los planes activos cada mes, y cuántos planes siguen vivos.",
+    async () => {
+      await page.getByRole("link", { name: "Financiamientos", exact: true }).click();
+      await page.waitForURL("/financiamientos");
+      await expect(page.getByText("Saldo faltante total")).toBeVisible();
+      await expect(page.getByText("Cuotas por mes (activos)")).toBeVisible();
+      await page.waitForLoadState("networkidle");
+    },
+  );
+
+  await doc.step(
+    "Tabla de planes",
+    "Cada plan muestra el comercio, el avance de cuotas (facturadas vs. totales), el monto de la cuota, el saldo que falta y cuándo cae la próxima cuota.",
+    async () => {
+      const rows = page.getByRole("button", { name: /editar plan de/i });
+      await expect(rows.first()).toBeVisible();
+      expect(await rows.count()).toBeGreaterThan(0);
+      await expect(page.getByRole("columnheader", { name: "Próxima cuota" })).toBeVisible();
+    },
+  );
+
+  await doc.step(
+    "Detalle de un plan",
+    "Al hacer clic en un plan se abre su detalle editable: fecha ancla, número de cuotas y monto. Desde aquí también se puede deshacer la conversión a Tasa Cero.",
+    async () => {
+      await page.getByRole("button", { name: /editar plan de/i }).first().click();
+      await expect(page.getByRole("heading", { name: "Editar plan Tasa Cero" })).toBeVisible();
+    },
+  );
+
+  await doc.step(
+    "Cerrar el detalle",
+    "El plan queda igual que estaba — el recorrido es de solo lectura.",
+    async () => {
+      await page.keyboard.press("Escape");
+      await expect(page.getByRole("heading", { name: "Editar plan Tasa Cero" })).toBeHidden();
+    },
+  );
+
+  await doc.save();
+});

frontend/e2e/narration.ts

@@ -0,0 +1,59 @@
+import { execFile, execFileSync } from "node:child_process";
+import fs from "node:fs";
+import path from "node:path";
+import { promisify } from "node:util";
+
+const execFileAsync = promisify(execFile);
+
+let sayChecked = false;
+let sayAvailable = false;
+
+function hasSay() {
+  if (!sayChecked) {
+    sayChecked = true;
+    try {
+      execFileSync("say", ["-v", "?"], { stdio: "ignore" });
+      sayAvailable = true;
+    } catch {
+      console.warn("`say` not found — skipping TTS narration (subtitles still work).");
+    }
+  }
+  return sayAvailable;
+}
+
+const cache = new Map<string, Promise<{ path: string; durationMs: number } | null>>();
+
+/** Synthesizes Spanish narration for a caption via macOS `say`. Returns null (never throws) if unavailable. */
+export function synthesize(
+  text: string,
+  outDir: string,
+  index: number,
+  voice = "Paulina",
+): Promise<{ path: string; durationMs: number } | null> {
+  const key = `${voice}:${text}`;
+  const cached = cache.get(key);
+  if (cached) return cached;
+
+  const promise = (async () => {
+    if (!hasSay()) return null;
+    fs.mkdirSync(outDir, { recursive: true });
+    const file = path.join(outDir, `narration-${String(index).padStart(2, "0")}.aiff`);
+    try {
+      await execFileAsync("say", ["-v", voice, "-o", file, text]);
+      const { stdout } = await execFileAsync("ffprobe", [
+        "-v", "error",
+        "-show_entries", "format=duration",
+        "-of", "csv=p=0",
+        file,
+      ]);
+      const durationMs = Math.round(parseFloat(stdout.trim()) * 1000);
+      return { path: file, durationMs };
+    } catch (err) {
+      console.warn(`Narration synthesis failed for "${text.slice(0, 40)}…": ${err}`);
+      fs.rmSync(file, { force: true });
+      return null;
+    }
+  })();
+  cache.set(key, promise);
+  return promise;
+}

frontend/e2e/subtitles.ts

@@ -0,0 +1,33 @@
+export interface Clip {
+  title: string;
+  caption: string;
+  file: string;
+  startMs: number;
+  endMs: number;
+  narration: { path: string; durationMs: number } | null;
+}
+
+export function msToSrtTimestamp(ms: number): string {
+  const clamped = Math.max(0, Math.round(ms));
+  const hours = Math.floor(clamped / 3_600_000);
+  const minutes = Math.floor((clamped % 3_600_000) / 60_000);
+  const seconds = Math.floor((clamped % 60_000) / 1000);
+  const millis = clamped % 1000;
+  const pad = (n: number, len = 2) => String(n).padStart(len, "0");
+  return `${pad(hours)}:${pad(minutes)}:${pad(seconds)},${pad(millis, 3)}`;
+}
+
+/** One subtitle cue per step, spanning its full on-screen duration. */
+export function buildSrt(clips: Clip[]): string {
+  return clips
+    .map((clip, i) => {
+      const index = i + 1;
+      return [
+        String(index),
+        `${msToSrtTimestamp(clip.startMs)} --> ${msToSrtTimestamp(clip.endMs)}`,
+        clip.caption,
+        "",
+      ].join("\n");
+    })
+    .join("\n");
+}

frontend/e2e/video-render.ts

@@ -0,0 +1,88 @@
+import { execFile, execFileSync } from "node:child_process";
+import fs from "node:fs";
+import path from "node:path";
+import { promisify } from "node:util";
+import { buildSrt, type Clip } from "./subtitles";
+
+const execFileAsync = promisify(execFile);
+
+function hasFfmpeg() {
+  try {
+    execFileSync("ffmpeg", ["-version"], { stdio: "ignore" });
+    return true;
+  } catch {
+    return false;
+  }
+}
+
+const SUBTITLE_STYLE =
+  "FontSize=22,PrimaryColour=&H00FFFFFF,BackColour=&H80000000,BorderStyle=3,Outline=1,Shadow=0,MarginV=40";
+
+function escapeForFilter(p: string) {
+  // ffmpeg filter arguments treat ':' and '\' specially — escape both.
+  return p.replace(/\\/g, "\\\\").replace(/:/g, "\\:");
+}
+
+export async function renderFinalVideo({
+  rawWebmPath,
+  clips,
+  outDir,
+}: {
+  rawWebmPath: string;
+  clips: Clip[];
+  outDir: string;
+}): Promise<{ videoFile: string; degraded: string[] }> {
+  const degraded: string[] = [];
+  const srtPath = path.join(outDir, "captions.srt");
+  fs.writeFileSync(srtPath, buildSrt(clips));
+
+  if (!hasFfmpeg()) {
+    const dest = path.join(outDir, "video.webm");
+    fs.renameSync(rawWebmPath, dest);
+    degraded.push("ffmpeg not found — kept raw video.webm, no subtitles burned in, no narration.");
+    return { videoFile: dest, degraded };
+  }
+
+  const narrated = clips.filter((c) => c.narration);
+  const mp4Path = path.join(outDir, "video.mp4");
+  const srtArg = `subtitles=${escapeForFilter(srtPath)}:force_style='${SUBTITLE_STYLE}'`;
+
+  if (narrated.length === 0) {
+    degraded.push("No narration available — burned-in subtitles only.");
+    await execFileAsync("ffmpeg", [
+      "-y", "-i", rawWebmPath,
+      "-vf", srtArg,
+      "-c:v", "libx264", "-crf", "20", "-pix_fmt", "yuv420p",
+      "-movflags", "+faststart",
+      "-an",
+      mp4Path,
+    ]);
+  } else {
+    const audioInputs = narrated.flatMap((c) => ["-i", c.narration!.path]);
+    const adelayParts = narrated.map(
+      (c, i) => `[${i + 1}:a]adelay=${Math.max(0, Math.round(c.startMs))}|${Math.max(0, Math.round(c.startMs))}[a${i}]`,
+    );
+    const mixInputs = narrated.map((_, i) => `[a${i}]`).join("");
+    const filterComplex = [
+      `[0:v]${srtArg}[vout]`,
+      ...adelayParts,
+      `${mixInputs}amix=inputs=${narrated.length}:normalize=0[aout]`,
+    ].join(";");
+
+    await execFileAsync("ffmpeg", [
+      "-y", "-i", rawWebmPath, ...audioInputs,
+      "-filter_complex", filterComplex,
+      "-map", "[vout]", "-map", "[aout]",
+      "-c:v", "libx264", "-crf", "20", "-pix_fmt", "yuv420p",
+      "-c:a", "aac",
+      "-shortest",
+      "-movflags", "+faststart",
+      mp4Path,
+    ]);
+  }
+
+  fs.rmSync(rawWebmPath, { force: true });
+  for (const c of narrated) fs.rmSync(c.narration!.path, { force: true });
+
+  return { videoFile: mp4Path, degraded };
+}

frontend/package.json

@@ -9,14 +9,16 @@
     "build": "vite build",
     "preview": "tsx server.ts",
     "typecheck": "tsc --noEmit",
+    "e2e": "playwright test",
+    "demo": "PW_DEMO=1 playwright test --grep @demo",
     "gen:api": "openapi-typescript openapi.json -o src/lib/api-types.gen.ts"
   },
   "dependencies": {
-    "@ag-ui/client": "0.0.52",
+    "@ag-ui/client": "0.0.57",
     "@base-ui/react": "^1.4.1",
-    "@copilotkit/react-core": "1.56.4",
+    "@copilotkit/react-core": "1.62.3",
-    "@copilotkit/react-ui": "1.56.4",
+    "@copilotkit/react-ui": "1.62.3",
-    "@copilotkit/runtime": "1.56.4",
+    "@copilotkit/runtime": "1.62.3",
     "@fontsource-variable/ibm-plex-sans": "^5.2.8",
     "@fontsource-variable/noto-sans": "^5.2.10",
     "@hono/node-server": "^1.14.4",
@@ -41,6 +43,7 @@
     "tw-animate-css": "^1.4.0"
   },
   "devDependencies": {
+    "@playwright/test": "^1.61.1",
     "@tailwindcss/vite": "^4",
     "@types/node": "^20",
     "@types/react": "^19",

frontend/playwright.config.ts

@@ -0,0 +1,52 @@
+import fs from "node:fs";
+import path from "node:path";
+import { fileURLToPath } from "node:url";
+import { defineConfig } from "@playwright/test";
+
+// Demo specs log in with the real dev credentials; pull them from the repo
+// .env so they never live in the test source.
+const repoEnv = path.resolve(path.dirname(fileURLToPath(import.meta.url)), "../.env");
+if (fs.existsSync(repoEnv)) {
+  for (const line of fs.readFileSync(repoEnv, "utf8").split("\n")) {
+    const m = line.match(/^([A-Z_]+)=["']?(.*?)["']?$/);
+    if (m && !(m[1] in process.env)) process.env[m[1]] = m[2];
+  }
+}
+
+export default defineConfig({
+  testDir: "./e2e",
+  outputDir: "./test-results",
+  fullyParallel: false,
+  // Demo runs synthesize narration and run several ffmpeg passes in save();
+  // that can exceed the 30s default, especially with many steps.
+  timeout: process.env.PW_DEMO ? 120_000 : 30_000,
+  reporter: [
+    ["list"],
+    ["html", { outputFolder: "playwright-report", open: "never" }],
+  ],
+  use: {
+    baseURL: "http://localhost:3000",
+    // Demo runs (pnpm demo) pace every action so the recorded video is
+    // watchable by a human; functional e2e runs stay at full speed.
+    launchOptions: {
+      slowMo: process.env.PW_DEMO ? 500 : 0,
+    },
+    locale: "es-CR",
+    timezoneId: "America/Costa_Rica",
+    viewport: { width: 1920, height: 1080 },
+    // Retina-density rendering so doc screenshots stay crisp when zoomed.
+    deviceScaleFactor: 2,
+    // Full recordings are only useful for the paced demo. Keeping them off
+    // for regular e2e avoids making test success depend on artifact uploads.
+    video: process.env.PW_DEMO ? { mode: "on", size: { width: 1920, height: 1080 } } : "off",
+    screenshot: "only-on-failure",
+    trace: process.env.PW_DEMO ? "on" : "on-first-retry",
+  },
+  webServer: {
+    command: "pnpm dev",
+    url: "http://localhost:3000",
+    reuseExistingServer: true,
+    stdout: "ignore",
+    timeout: 60_000,
+  },
+});

frontend/server.ts

@@ -1,12 +1,12 @@
 import { serve } from "@hono/node-server";
 import { serveStatic } from "@hono/node-server/serve-static";
 import {
+  AgentRunner,
   CopilotRuntime,
-  ExperimentalEmptyAdapter,
+  createCopilotRuntimeHandler,
-  copilotRuntimeNextJSAppRouterEndpoint,
+} from "@copilotkit/runtime/v2";
-} from "@copilotkit/runtime";
 import { HttpAgent, Middleware, EventType } from "@ag-ui/client";
-import { Observable } from "rxjs";
+import { Observable, ReplaySubject } from "rxjs";
 import { Hono } from "hono";
 
 const BACKEND_URL =
@@ -120,6 +120,27 @@ class DeduplicateToolCallMiddleware extends (Middleware as any) {
     const open = new Set<string>();   // tool call IDs currently in progress
     const closed = new Set<string>(); // tool call IDs that already received END
 
+    // Render tools are display-once: after the client returns their result,
+    // the model sometimes re-issues the same call (fresh id) on the
+    // follow-up run, painting a second identical card. Track which render
+    // tools already ran in the current user turn (from the request's own
+    // message history) and suppress repeats — both their streamed events
+    // and their entries in this run's MESSAGES_SNAPSHOT.
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const inputMessages: any[] = Array.isArray(input?.messages) ? input.messages : [];
+    let lastUserIdx = -1;
+    inputMessages.forEach((m, i) => { if (m?.role === "user") lastUserIdx = i; });
+    const renderedThisTurn = new Set<string>();
+    for (const m of inputMessages.slice(lastUserIdx + 1)) {
+      const calls = m?.toolCalls ?? m?.tool_calls;
+      if (m?.role !== "assistant" || !Array.isArray(calls)) continue;
+      for (const tc of calls) {
+        const name = tc?.function?.name;
+        if (name && RENDER_TOOLS.has(name)) renderedThisTurn.add(name);
+      }
+    }
+    const suppressed = new Set<string>(); // toolCallIds of dropped repeats
+
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     return new Observable<any>((observer) => {
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -132,13 +153,51 @@ class DeduplicateToolCallMiddleware extends (Middleware as any) {
 
           if (type === EventType.TOOL_CALL_START) {
             if (!id || closed.has(id) || open.has(id)) return; // duplicate
+            const name: string | undefined = event?.toolCallName;
+            if (name && RENDER_TOOLS.has(name)) {
+              if (renderedThisTurn.has(name)) {
+                suppressed.add(id);
+                return; // repeat render call — drop the whole call
+              }
+              renderedThisTurn.add(name);
+            }
             open.add(id);
           } else if (type === EventType.TOOL_CALL_ARGS || type === EventType.TOOL_CALL_END) {
+            if (id && suppressed.has(id)) return;
             if (id && closed.has(id)) return; // already completed, drop
             if (type === EventType.TOOL_CALL_END && id) {
               open.delete(id);
               closed.add(id);
             }
+          } else if (type === EventType.MESSAGES_SNAPSHOT && suppressed.size > 0) {
+            // eslint-disable-next-line @typescript-eslint/no-explicit-any
+            const msgs: any[] = Array.isArray(event?.messages) ? event.messages : [];
+            const cleaned = msgs
+              // eslint-disable-next-line @typescript-eslint/no-explicit-any
+              .map((m: any) => {
+                const calls = m?.toolCalls ?? m?.tool_calls;
+                if (m?.role !== "assistant" || !Array.isArray(calls)) return m;
+                // eslint-disable-next-line @typescript-eslint/no-explicit-any
+                const kept = calls.filter((tc: any) => !suppressed.has(String(tc?.id ?? "")));
+                if (kept.length === calls.length) return m;
+                const { toolCalls: _a, tool_calls: _b, ...rest } = m;
+                return kept.length > 0 ? { ...rest, toolCalls: kept } : rest;
+              })
+              // eslint-disable-next-line @typescript-eslint/no-explicit-any
+              .filter((m: any) => {
+                if (m?.role === "tool" && suppressed.has(String(m?.toolCallId ?? m?.tool_call_id ?? ""))) {
+                  return false;
+                }
+                if (m?.role === "assistant") {
+                  const calls = m?.toolCalls ?? m?.tool_calls;
+                  const hasCalls = Array.isArray(calls) && calls.length > 0;
+                  const hasText = typeof m?.content === "string" && m.content.length > 0;
+                  if (!hasCalls && !hasText) return false;
+                }
+                return true;
+              });
+            observer.next({ ...event, messages: cleaned });
+            return;
           }
 
           observer.next(event); // emit raw BaseEvent
@@ -191,24 +250,25 @@ class StripModelArtifactsMiddleware extends (Middleware as any) {
   }
 }
 
-// ── ReconcileSnapshotMiddleware ──────────────────────────────────────────────
+// ── DropRunMessagesSnapshotMiddleware ────────────────────────────────────────
-// MAF's `_build_messages_snapshot` (agent_framework_ag_ui/_agent_run.py:686)
+// MAF's run-end MESSAGES_SNAPSHOT re-mints ids for post-tool-call text (their
-// mints a fresh UUID for the post-tool-call assistant text instead of reusing
+// #3619) and, with thread persistence on, rebuilds history under STORE ids.
-// the streamed TEXT_MESSAGE_START id. The resulting MESSAGES_SNAPSHOT then
+// ag-ui's apply treats the snapshot as authoritative: client messages absent
-// contains TWO assistant entries: the streamed id (holding the toolCalls) and
+// from it are dropped, matching ids are replaced. Because streamed ids and
-// a brand-new id (holding the duplicated text). ag-ui's snapshot merge replaces
+// snapshot ids never agree for tool+text turns, every mid-session snapshot
-// by id then APPENDS unknown ids, so the browser ends up with two assistant
+// either duplicates the current answer (fresh-id append) or wipes earlier
-// bubbles for the same answer. Dropping the snapshot entirely fixes the dupe
+// ones (store-id replace with empty content) — both observed live. During a
-// but breaks render_a2ui card persistence (cards rely on the snapshot to keep
+// normal run the client already built the exact turn from streamed events,
-// the assistant-with-toolCalls message in state past the run). The right fix
+// so the snapshot adds nothing: swallow it. Hydration replays (empty
-// is to drop just the orphan text-only assistant message that has no streamed
+// input.messages) pass through untouched — there the snapshot IS the
-// counterpart. Remove once `_agent_run.py:686` reuses `flow.message_id`.
+// conversation, and the client converges to store ids on every reload.
 
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
-class ReconcileSnapshotMiddleware extends (Middleware as any) {
+class DropRunMessagesSnapshotMiddleware extends (Middleware as any) {
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   run(input: any, next: any): Observable<any> {
-    const streamedTextIds = new Set<string>();
+    const isHydration =
+      !Array.isArray(input?.messages) || input.messages.length === 0;
 
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     return new Observable<any>((observer) => {
@@ -217,33 +277,9 @@ class ReconcileSnapshotMiddleware extends (Middleware as any) {
         // eslint-disable-next-line @typescript-eslint/no-explicit-any
         next: (eventWithState: any) => {
           const event = eventWithState.event;
-          const type: string = event?.type ?? "";
+          if (event?.type === EventType.MESSAGES_SNAPSHOT && !isHydration) {
-
+            return; // client state from streaming is already correct
-          if (type === EventType.TEXT_MESSAGE_START && event?.messageId) {
-            streamedTextIds.add(String(event.messageId));
           }
-
-          if (type === EventType.MESSAGES_SNAPSHOT) {
-            // eslint-disable-next-line @typescript-eslint/no-explicit-any
-            const msgs: any[] = Array.isArray(event?.messages) ? event.messages : [];
-            const filtered = msgs.filter((m) => {
-              if (m?.role !== "assistant") return true;
-              const id = String(m?.id ?? "");
-              const hasText = typeof m?.content === "string" && m.content.length > 0;
-              const hasToolCalls =
-                (Array.isArray(m?.toolCalls) && m.toolCalls.length > 0) ||
-                (Array.isArray(m?.tool_calls) && m.tool_calls.length > 0);
-              if (hasText && !hasToolCalls && !streamedTextIds.has(id)) {
-                return false; // drop orphan text-only assistant duplicate
-              }
-              return true;
-            });
-            if (filtered.length !== msgs.length) {
-              observer.next({ ...event, messages: filtered });
-              return;
-            }
-          }
-
           observer.next(event);
         },
         // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -261,7 +297,7 @@ class ReconcileSnapshotMiddleware extends (Middleware as any) {
 // below the card. This middleware buffers TEXT_MESSAGE_* events and discards
 // them if any render tool call is detected in the same turn.
 
-const RENDER_TOOLS = new Set(["render_a2ui", "render_spending_summary"]);
+const RENDER_TOOLS = new Set(["render_spending_summary"]);
 
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 class SuppressRenderToolTextMiddleware extends (Middleware as any) {
@@ -347,60 +383,193 @@ app.use("*", async (c, next) => {
   });
 });
 
-app.all("/api/copilotkit/*", async (c) => {
+// ── CopilotKit v2 runtime (module scope, built once) ─────────────────────────
-  const cookieHeader = c.req.header("cookie") ?? "";
+// Migrated 2026-07-04 off the deprecated copilotRuntimeNextJSAppRouterEndpoint
-  const match = cookieHeader.match(/(?:^|;\s*)ws_token=([^;]+)/);
+// wrapper (which was already the v2 single-route handler underneath) onto
-  const token = match?.[1];
+// createCopilotRuntimeHandler directly, with a Postgres-backed AgentRunner:
-  const agentHeaders: Record<string, string> = token
+// run() is a pure proxy to the MAF backend (which persists every turn in
-    ? { Authorization: `Bearer ${token}` }
+// chatthreadsnapshot), and connect() forwards to MAF's snapshot hydration —
-    : {};
+// so the ONLY conversation store is the DB. This deletes the in-memory
+// runner (whose process-local replay resurrected cleared conversations) and
+// the client-side hydration hack that compensated for it.
 
-  const agent = new HttpAgent({ url: AGENT_URL, headers: agentHeaders });
+// The v2 handler nags about anonymous telemetry unless disabled.
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+process.env.COPILOTKIT_TELEMETRY_DISABLED ??= "true";
+
+function makeWealthysmartAgent(headers: Record<string, string> = {}): HttpAgent {
+  const agent = new HttpAgent({ url: AGENT_URL, headers });
+  // CK_MIDDLEWARES=off runs the stack bare — used to audit which of these
+  // workarounds are still needed after CopilotKit/MAF upgrades.
+  /* eslint-disable @typescript-eslint/no-explicit-any */
+  if (process.env.CK_MIDDLEWARES !== "off") {
     agent.use(new SuppressRenderToolTextMiddleware() as any);
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
     agent.use(new StripModelArtifactsMiddleware() as any);
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    agent.use(new DropRunMessagesSnapshotMiddleware() as any);
-  agent.use(new ReconcileSnapshotMiddleware() as any);
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
     agent.use(new DeduplicateToolCallMiddleware() as any);
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  }
+  if (process.env.CK_DEBUG_EVENTS === "1" || process.env.CK_MIDDLEWARES === "off") {
     agent.use(new DebugLogMiddleware() as any);
+  }
+  /* eslint-enable @typescript-eslint/no-explicit-any */
+  return agent;
+}
+
+// ── PostgresAgentRunner ───────────────────────────────────────────────────────
+// The conversation store is Postgres (chatthreadsnapshot), written by MAF at
+// every run end. So the runner records NOTHING:
+// - run() proxies the agent's event stream (the per-request clone the v2
+//   handler prepared, auth headers already forwarded onto it).
+// - connect() asks MAF for its snapshot hydration — an empty-messages run
+//   returns RUN_STARTED → [STATE_SNAPSHOT] → MESSAGES_SNAPSHOT → RUN_FINISHED
+//   with no LLM call (unknown thread: RUN_STARTED → RUN_FINISHED). The same
+//   stream shape the in-memory runner's replay approximated, but sourced
+//   from the DB, so it is correct across clears, restarts and instances.
+// - Live runs are tracked in-process only for stop(); the official
+//   sqlite-runner does the same (single-instance limitation acknowledged).
+// isRunning() has no caller in the v2 SSE path (verified at 1.62.2).
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+const liveRuns = new Map<string, any>();
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+function proxyAgentRun(agent: any, input: any, threadId: string): Observable<any> {
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  const subject = new ReplaySubject<any>(Infinity);
+  liveRuns.set(threadId, agent);
+  agent
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    .runAgent(input, { onEvent: ({ event }: any) => subject.next(event) })
+    .then(() => subject.complete())
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    .catch((err: any) => subject.error(err))
+    .finally(() => {
+      if (liveRuns.get(threadId) === agent) liveRuns.delete(threadId);
+    });
+  return subject.asObservable();
+}
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+class PostgresAgentRunner extends (AgentRunner as any) {
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  run(request: any): Observable<any> {
+    return proxyAgentRun(request.agent, request.input, request.threadId);
+  }
+
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  connect(request: any): Observable<any> {
+    // request.headers = authorization + x-* from the incoming browser
+    // request (extractForwardableHeaders) — exactly what MAF needs.
+    const agent = makeWealthysmartAgent(request.headers ?? {});
+    agent.threadId = request.threadId;
+    // No messages + known threadId = MAF's hydration trigger.
+    return proxyAgentRun(agent, {}, `connect:${request.threadId}`);
+  }
+
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  isRunning(request: any): Promise<boolean> {
+    return Promise.resolve(liveRuns.has(request.threadId));
+  }
+
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  async stop(request: any): Promise<boolean | undefined> {
+    const agent = liveRuns.get(request.threadId);
+    if (!agent) return false;
+    try {
+      agent.abortRun();
+      liveRuns.delete(request.threadId);
+      return true;
+    } catch {
+      return false;
+    }
+  }
+}
 
 const runtime = new CopilotRuntime({
-    agents: { wealthysmart: agent },
+  agents: { wealthysmart: makeWealthysmartAgent() },
-    a2ui: { injectA2UITool: true },
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  runner: new PostgresAgentRunner() as any,
+  // a2ui disabled 2026-07-04: CK 1.60+ validates generated ops against a
+  // catalog and our agent's ops fail validation (surface never paints).
+  // Markdown tables cover the use case until the pipeline matures.
+  a2ui: { enabled: false },
   beforeRequestMiddleware: async ({ request: outbound }) => {
     if (outbound.method !== "POST") return;
     const ct = outbound.headers.get("content-type") ?? "";
     if (!ct.includes("application/json")) return;
     try {
-        const body = (await outbound.clone().json()) as { messages?: AGUIMessage[] };
+      const body = (await outbound.clone().json()) as {
+        messages?: AGUIMessage[];
+        context?: { description?: string; value?: string }[];
+      };
       if (!Array.isArray(body.messages)) return;
-        const paired = pairOrphanToolCalls(body.messages);
+      // An empty messages array is MAF's hydration trigger (known threadId
-        if (paired.length === body.messages.length) return;
+      // + no messages → replay the stored snapshot without invoking the
+      // LLM). Injecting anything would turn it into a normal run.
+      if (body.messages.length === 0) return;
+      let messages = pairOrphanToolCalls(body.messages);
+
+      // MAF's AG-UI endpoint declares `context` on its request model but
+      // never feeds it to the model (agent_framework_ag_ui, checked at
+      // python-1.10.0). CopilotKit 1.60+ ships the A2UI catalog schema and
+      // guidelines in that context — without them the model emits ops the
+      // A2UI validator rejects and the surface never paints. Inject the
+      // context as a system message ourselves. Remove once MAF consumes
+      // RunAgentInput.context.
+      if (Array.isArray(body.context) && body.context.length > 0) {
+        const contextText = body.context
+          .map((c) => `## ${c.description ?? "Context"}\n${c.value ?? ""}`)
+          .join("\n\n");
+        messages = [
+          {
+            id: `ctx-${Date.now()}`,
+            role: "system",
+            content: `Additional run context:\n\n${contextText}`,
+          } as AGUIMessage,
+          ...messages,
+        ];
+      }
+
+      if (messages === body.messages) return;
       return new Request(outbound.url, {
         method: outbound.method,
         headers: outbound.headers,
-          body: JSON.stringify({ ...body, messages: paired }),
+        body: JSON.stringify({ ...body, messages }),
       });
     } catch (err) {
       // Skipping the repair is survivable; doing it silently is not —
       // orphan tool calls then fail downstream with no trace of why.
-        console.error("[copilotkit] orphan-tool-call repair skipped:", err);
+      console.error("[copilotkit] outbound request repair skipped:", err);
       return;
     }
   },
 });
 
-  const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
+const ckHandler = createCopilotRuntimeHandler({
   runtime,
-    serviceAdapter: new ExperimentalEmptyAdapter(),
+  basePath: "/api/copilotkit",
-    endpoint: "/api/copilotkit",
+  // Single-route mode: same envelope protocol the client already resolved
+  // via auto-detect (its GET /info probe 405s here, so it stays "single").
+  // Multi-route would only add /threads* REST endpoints we don't use and is
+  // exposed to CopilotKit#4953 (frontend tools under multi-route).
+  mode: "single-route",
+  cors: false,
 });
 
-  return handleRequest(c.req.raw as Parameters<typeof handleRequest>[0]);
+// The v2 handler forwards only `authorization` and `x-*` headers to agents
-});
+// and to runner.connect — cookies never pass. Translate the auth cookie into
+// a Bearer header before the handler sees the request.
+function withBearerFromCookie(req: Request): Request {
+  if (req.headers.get("authorization")) return req;
+  const cookie = req.headers.get("cookie") ?? "";
+  const match = cookie.match(/(?:^|;\s*)ws_token=([^;]+)/);
+  if (!match) return req;
+  const headers = new Headers(req.headers);
+  headers.set("Authorization", `Bearer ${match[1]}`);
+  return new Request(req, { headers });
+}
+
+app.all("/api/copilotkit/*", (c) => ckHandler(withBearerFromCookie(c.req.raw)));
+app.all("/api/copilotkit", (c) => ckHandler(withBearerFromCookie(c.req.raw)));
 
 app.get("/api/health", (c) => c.json({ ok: true }));
 

frontend/src/App.tsx

@@ -77,7 +77,17 @@ export default function App() {
         <PrivacyProvider>
           <AuthProvider>
             <QueryClientProvider client={queryClient}>
-              <CopilotKit runtimeUrl="/api/copilotkit" agent="wealthysmart" a2ui={{}}>
+              <CopilotKit
+                runtimeUrl="/api/copilotkit"
+                agent="wealthysmart"
+                headers={{
+                  // Lets the agent resolve "hoy"/"este mes" in the user's
+                  // local time wherever they are; backend falls back to
+                  // Costa Rica when absent.
+                  "X-Client-Timezone":
+                    Intl.DateTimeFormat().resolvedOptions().timeZone,
+                }}
+              >
                 <AppRoutes />
                 <Toaster richColors position="top-right" closeButton />
               </CopilotKit>

frontend/src/components/Layout.tsx

@@ -27,11 +27,14 @@ export default function Layout() {
   const { privacyMode, togglePrivacy } = usePrivacy();
   const { pathname } = useLocation();
   const title = titleFor(pathname);
+  // Asistente hosts its own scroll container (the chat), so its route caps
+  // the shell at the viewport; every other page keeps normal body scroll.
+  const fullHeight = pathname === "/asistente";
 
   return (
     <SidebarProvider>
       <AppSidebar />
-      <SidebarInset>
+      <SidebarInset className={fullHeight ? "h-svh overflow-hidden" : undefined}>
         <header className="sticky top-0 z-40 flex h-14 shrink-0 items-center gap-2 border-b border-border bg-background/90 px-4 backdrop-blur-sm">
           <SidebarTrigger className="-ml-1" />
           <Separator

frontend/src/components/SalaryEntryDialog.tsx

@@ -0,0 +1,177 @@
+import { useState } from 'react';
+import { toast } from 'sonner';
+
+import api from '@/lib/api';
+import { formatLocalDatetime } from '@/lib/format';
+import { Button } from '@/components/ui/button';
+import { Input } from '@/components/ui/input';
+import { Label } from '@/components/ui/label';
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from '@/components/ui/dialog';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+import { Alert, AlertDescription } from '@/components/ui/alert';
+import { AlertCircle } from 'lucide-react';
+
+interface Props {
+  onClose: () => void;
+  onSaved: () => void;
+}
+
+export default function SalaryEntryDialog({ onClose, onSaved }: Props) {
+  const [form, setForm] = useState({
+    amount: '',
+    currency: 'CRC',
+    date: formatLocalDatetime(new Date()),
+    bank: 'BAC',
+    reference: '',
+    notes: '',
+  });
+  const [saving, setSaving] = useState(false);
+  const [error, setError] = useState('');
+
+  const handleSubmit = async (event: React.FormEvent) => {
+    event.preventDefault();
+    const amount = Number(form.amount);
+    if (!Number.isFinite(amount) || amount <= 0) {
+      setError('Ingresá un monto mayor que cero.');
+      return;
+    }
+
+    setSaving(true);
+    setError('');
+    try {
+      await api.post('/transactions/', {
+        amount,
+        currency: form.currency,
+        date: form.date,
+        bank: form.bank,
+        merchant: 'Salario',
+        transaction_type: 'SALARY',
+        source: 'TRANSFER',
+        reference: form.reference.trim() || null,
+        notes: form.notes.trim() || null,
+      });
+      toast.success('Salario registrado');
+      onSaved();
+      onClose();
+    } catch (err) {
+      const status = err && typeof err === 'object' && 'response' in err
+        ? (err as { response: { status: number } }).response.status
+        : null;
+      setError(
+        status === 409
+          ? 'Ya existe una transacción con ese comprobante.'
+          : 'No se pudo registrar el salario. Intentá de nuevo.',
+      );
+    } finally {
+      setSaving(false);
+    }
+  };
+
+  return (
+    <Dialog open onOpenChange={(open) => { if (!open) onClose(); }}>
+      <DialogContent className="sm:max-w-md">
+        <DialogHeader>
+          <DialogTitle>Registrar salario</DialogTitle>
+          <DialogDescription>
+            Guardá el depósito recibido mientras configurás una nueva automatización.
+          </DialogDescription>
+        </DialogHeader>
+
+        <form onSubmit={handleSubmit} className="space-y-5">
+          {error && (
+            <Alert variant="destructive">
+              <AlertCircle className="h-4 w-4" />
+              <AlertDescription>{error}</AlertDescription>
+            </Alert>
+          )}
+
+          <div className="grid grid-cols-2 gap-4">
+            <div className="space-y-2">
+              <Label htmlFor="salary-amount">Monto</Label>
+              <Input
+                id="salary-amount"
+                type="number"
+                min="0.01"
+                step="0.01"
+                inputMode="decimal"
+                value={form.amount}
+                onChange={(e) => setForm({ ...form, amount: e.target.value })}
+                placeholder="0.00"
+                autoFocus
+                required
+              />
+            </div>
+            <div className="space-y-2">
+              <Label>Moneda</Label>
+              <Select value={form.currency} onValueChange={(value) => value && setForm({ ...form, currency: value })}>
+                <SelectTrigger><SelectValue /></SelectTrigger>
+                <SelectContent>
+                  <SelectItem value="CRC">CRC (₡)</SelectItem>
+                  <SelectItem value="USD">USD ($)</SelectItem>
+                  <SelectItem value="EUR">EUR (€)</SelectItem>
+                </SelectContent>
+              </Select>
+            </div>
+            <div className="col-span-2 space-y-2">
+              <Label htmlFor="salary-date">Fecha del depósito</Label>
+              <Input
+                id="salary-date"
+                type="datetime-local"
+                value={form.date}
+                onChange={(e) => setForm({ ...form, date: e.target.value })}
+                required
+              />
+            </div>
+            <div className="space-y-2">
+              <Label>Banco</Label>
+              <Select value={form.bank} onValueChange={(value) => value && setForm({ ...form, bank: value })}>
+                <SelectTrigger><SelectValue /></SelectTrigger>
+                <SelectContent>
+                  <SelectItem value="BAC">BAC</SelectItem>
+                  <SelectItem value="BCR">BCR</SelectItem>
+                  <SelectItem value="DAVIVIENDA">Davivienda</SelectItem>
+                </SelectContent>
+              </Select>
+            </div>
+            <div className="space-y-2">
+              <Label htmlFor="salary-reference">Comprobante</Label>
+              <Input
+                id="salary-reference"
+                value={form.reference}
+                onChange={(e) => setForm({ ...form, reference: e.target.value })}
+                placeholder="Opcional"
+              />
+            </div>
+            <div className="col-span-2 space-y-2">
+              <Label htmlFor="salary-notes">Nota</Label>
+              <Input
+                id="salary-notes"
+                value={form.notes}
+                onChange={(e) => setForm({ ...form, notes: e.target.value })}
+                placeholder="Ej. Quincena de julio"
+              />
+            </div>
+          </div>
+
+          <DialogFooter>
+            <Button type="button" variant="outline" onClick={onClose}>Cancelar</Button>
+            <Button type="submit" disabled={saving}>{saving ? 'Guardando…' : 'Registrar salario'}</Button>
+          </DialogFooter>
+        </form>
+      </DialogContent>
+    </Dialog>
+  );
+}

frontend/src/components/chat/ChatCards.tsx

@@ -76,7 +76,10 @@ export function SpendingSummaryCard({
   ];
 
   return (
-    <div className="rounded-xl border border-border bg-card text-card-foreground p-4 space-y-4 my-2 shadow-sm">
+    <div
+      data-testid="spending-summary-card"
+      className="rounded-xl border border-border bg-card text-card-foreground p-4 space-y-4 my-2 shadow-sm"
+    >
       {/* Header */}
       <div className="flex items-start justify-between gap-4">
         <div>

frontend/src/lib/api-types.gen.ts

@@ -345,6 +345,23 @@ export interface paths {
         patch: operations["update_category_api_v1_categories__category_id__patch"];
         trace?: never;
     };
+    "/api/v1/chat/thread": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        get?: never;
+        put?: never;
+        post?: never;
+        /** Clear Thread */
+        delete: operations["clear_thread_api_v1_chat_thread_delete"];
+        options?: never;
+        head?: never;
+        patch?: never;
+        trace?: never;
+    };
     "/api/v1/exchange-rate/": {
         parameters: {
             query?: never;
@@ -898,11 +915,9 @@ export interface components {
         AGUIRequest: {
             /**
              * Availableinterrupts
-             * @description List of interrupts that can be resumed by the server
+             * @description Canonical AG-UI interrupts that can be resumed by the server
              */
-            availableInterrupts?: {
+            availableInterrupts?: components["schemas"]["Interrupt"][] | null;
-                [key: string]: unknown;
-            }[] | null;
             /**
              * Context
              * @description List of context objects provided to the agent
@@ -931,11 +946,9 @@ export interface components {
             parent_run_id?: string | null;
             /**
              * Resume
-             * @description Resume payload containing interrupt responses
+             * @description Resume payload for continuing interrupted runs
              */
-            resume?: {
+            resume?: components["schemas"]["ResumeEntry"][] | null;
-                [key: string]: unknown;
-            } | null;
             /**
              * Run Id
              * @description Optional run identifier for tracking
@@ -1200,6 +1213,11 @@ export interface components {
             /** Name */
             name?: string | null;
         };
+        /** ClearThreadResponse */
+        ClearThreadResponse: {
+            /** Cleared */
+            cleared: boolean;
+        };
         /**
          * Currency
          * @enum {string}
@@ -1351,6 +1369,34 @@ export interface components {
             /** Num Installments */
             num_installments?: number | null;
         };
+        /**
+         * Interrupt
+         * @description A pause carried inside ``RunFinishedEvent.outcome`` when the outcome is
+         *     ``RunFinishedInterruptOutcome``. The client resumes
+         *     by addressing this interrupt in the resume array of the next RunAgentInput.
+         */
+        Interrupt: {
+            /** Expiresat */
+            expiresAt?: string | null;
+            /** Id */
+            id: string;
+            /** Message */
+            message?: string | null;
+            /** Metadata */
+            metadata?: {
+                [key: string]: unknown;
+            } | null;
+            /** Reason */
+            reason: string;
+            /** Responseschema */
+            responseSchema?: {
+                [key: string]: unknown;
+            } | null;
+            /** Toolcallid */
+            toolCallId?: string | null;
+        } & {
+            [key: string]: unknown;
+        };
         /** LoginRequest */
         LoginRequest: {
             /** Password */
@@ -1809,6 +1855,23 @@ export interface components {
                 [key: string]: unknown;
             } | null;
         };
+        /**
+         * ResumeEntry
+         * @description A per-interrupt response in the resume array of a RunAgentInput.
+         */
+        ResumeEntry: {
+            /** Interruptid */
+            interruptId: string;
+            /** Payload */
+            payload?: unknown | null;
+            /**
+             * Status
+             * @enum {string}
+             */
+            status: "resolved" | "cancelled";
+        } & {
+            [key: string]: unknown;
+        };
         /** SalariosSummary */
         SalariosSummary: {
             /** Count */
@@ -3023,6 +3086,39 @@ export interface operations {
             };
         };
     };
+    clear_thread_api_v1_chat_thread_delete: {
+        parameters: {
+            query?: never;
+            header?: {
+                authorization?: string | null;
+            };
+            path?: never;
+            cookie?: {
+                ws_token?: string | null;
+            };
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["ClearThreadResponse"];
+                };
+            };
+            /** @description Validation Error */
+            422: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": components["schemas"]["HTTPValidationError"];
+                };
+            };
+        };
+    };
     current_rate_api_v1_exchange_rate__get: {
         parameters: {
             query?: never;

frontend/src/pages/Asistente.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useRef } from "react";
+import { useEffect, useRef, useState } from "react";
 import { useLocation, useNavigate } from "react-router-dom";
 import {
   CopilotChat,
@@ -7,10 +7,18 @@ import {
   useCopilotKit,
 } from "@copilotkit/react-core/v2";
 import { useCopilotAction } from "@copilotkit/react-core";
-import { Sparkles } from "lucide-react";
+import { MessageSquarePlus, Sparkles } from "lucide-react";
+import { toast } from "sonner";
+import { Button } from "@/components/ui/button";
+import ConfirmDialog from "@/components/ConfirmDialog";
 import { PageHeader } from '@/components/page-header';
 import { SpendingSummaryCard, type SpendingSummaryArgs } from "@/components/chat/ChatCards";
 
+// Single persistent conversation: the backend snapshot store keys on this
+// same id (backend/app/api/v1/endpoints/chat.py). An explicit, stable
+// threadId also stops CopilotChat from wiping messages on remount.
+const CHAT_THREAD_ID = "main";
+
 const STATIC_SUGGESTIONS = {
   available: "before-first-message" as const,
   suggestions: [
@@ -24,28 +32,74 @@ const STATIC_SUGGESTIONS = {
 export default function Asistente() {
   useConfigureSuggestions(STATIC_SUGGESTIONS);
 
-  // A question typed on the Inicio dashboard arrives via router state:
-  // append it as a user message and run the agent once.
   const location = useLocation();
   const navigate = useNavigate();
   const { agent } = useAgent({ agentId: "wealthysmart" });
   const { copilotkit } = useCopilotKit();
-  const sentRef = useRef(false);
+  const [confirmClear, setConfirmClear] = useState(false);
+  const [clearing, setClearing] = useState(false);
+
+  // Ask-box flow: a question typed on Inicio arrives via router state.
+  // History hydration is no longer done here — CopilotChat's mount connect
+  // replays the persisted thread through the BFF's PostgresAgentRunner. We
+  // still await our own connect before sending so the run's input carries
+  // the full client-known history (idempotent with CopilotChat's connect:
+  // the MESSAGES_SNAPSHOT merge is id-based).
+  const bootRef = useRef(false);
   useEffect(() => {
     const ask = (location.state as { ask?: string } | null)?.ask;
-    if (!ask || sentRef.current || !agent) return;
+    if (!ask || !agent || bootRef.current) return;
-    sentRef.current = true;
+    bootRef.current = true;
     // Clear the state so back/refresh doesn't re-send the question.
     navigate(location.pathname, { replace: true, state: null });
+    void (async () => {
+      agent.threadId = CHAT_THREAD_ID;
+      if (agent.messages.length === 0) {
+        try {
+          await copilotkit.connectAgent({ agent });
+        } catch (err) {
+          console.error("[asistente] connect before ask failed:", err);
+        }
+      }
       agent.addMessage({
         id: crypto.randomUUID(),
         role: "user",
         content: ask,
       });
       void copilotkit.runAgent({ agent });
+    })();
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [agent]);
 
+  const clearThread = async () => {
+    setClearing(true);
+    try {
+      const res = await fetch("/api/v1/chat/thread", {
+        method: "DELETE",
+        credentials: "include",
+      });
+      if (!res.ok) {
+        throw new Error(`DELETE /chat/thread → ${res.status}`);
+      }
+      // NOTE: there is no official flush for the runtime's in-memory thread
+      // store at CK 1.62 — the single-route endpoint we mount only accepts
+      // agent/run|connect|stop, info, transcribe; the threads/* router
+      // (incl. threads/clear) is a separate entrypoint this adapter doesn't
+      // serve. The BFF's connect intercept (server.ts) is what keeps that
+      // process memory from ever reaching the UI.
+      // Full reload is the reliable reset: CopilotKit keeps chat state in
+      // more places than agent.messages (clearing it in place left the
+      // conversation rendered), while a fresh boot hydrates from the
+      // now-empty store and shows the welcome screen + suggestions.
+      window.location.reload();
+    } catch (err) {
+      console.error("[asistente] clear thread failed:", err);
+      toast.error("No se pudo borrar la conversación. Intenta de nuevo.");
+      setClearing(false);
+      setConfirmClear(false);
+    }
+  };
+
   useCopilotAction({
     name: "render_spending_summary",
     description:
@@ -92,12 +146,43 @@ export default function Asistente() {
           icon={Sparkles}
           title="Asistente"
           subtitle="Pregúntale a WealthySmart sobre tus finanzas."
+          actions={
+            <Button
+              variant="outline"
+              size="sm"
+              onClick={() => setConfirmClear(true)}
+              // Also disabled mid-run: MAF saves the thread at run END, so
+              // clearing while an answer streams would delete the row only
+              // to have the finishing run write it right back.
+              disabled={!agent || agent.messages.length === 0 || agent.isRunning}
+            >
+              <MessageSquarePlus />
+              Nueva conversación
+            </Button>
+          }
         />
       </div>
 
+      {confirmClear && (
+        <ConfirmDialog
+          title="¿Nueva conversación?"
+          message="Se borrará el historial del chat guardado. Esta acción no se puede deshacer."
+          confirmLabel="Borrar historial"
+          onConfirm={clearThread}
+          onCancel={() => setConfirmClear(false)}
+          loading={clearing}
+        />
+      )}
+
       <div className="flex-1 min-h-0 rounded-xl border border-border overflow-hidden bg-card">
         <CopilotChat
           className="h-full"
+          // Without an explicit agentId, CopilotChat resolves DEFAULT_AGENT_ID
+          // ("default") — a DIFFERENT client agent instance than
+          // useAgent({agentId:"wealthysmart"}); clearing one leaves the other
+          // rendering its own copy of the conversation.
+          agentId="wealthysmart"
+          threadId={CHAT_THREAD_ID}
           labels={{
             modalHeaderTitle: "WealthySmart",
             welcomeMessageText: "¿Qué quieres saber sobre tus finanzas?",

frontend/src/pages/Salarios.tsx

@@ -1,7 +1,7 @@
-import { useMemo } from 'react';
+import { useMemo, useState } from 'react';
 import { useQuery } from '@tanstack/react-query';
 import { type ColumnDef } from '@tanstack/react-table';
-import { Landmark, RefreshCw, Download } from 'lucide-react';
+import { Landmark, RefreshCw, Download, Plus } from 'lucide-react';
 
 import { type Transaction, getSalarios, getSalariosSummary } from '@/lib/api';
 import { formatAmount, formatDate } from '@/lib/format';
@@ -13,8 +13,10 @@ import { DataTableColumnHeader } from '@/components/ui/data-table-column-header'
 import { Card, CardContent } from '@/components/ui/card';
 import { Button } from '@/components/ui/button';
 import { Badge } from '@/components/ui/badge';
+import SalaryEntryDialog from '@/components/SalaryEntryDialog';
 
 export default function Salarios() {
+  const [entryOpen, setEntryOpen] = useState(false);
   const query = useQuery({
     queryKey: ['salarios'],
     queryFn: async () => {
@@ -95,6 +97,10 @@ export default function Salarios() {
         subtitle="Historial de depósitos salariales"
         actions={
           <>
+            <Button size="sm" onClick={() => setEntryOpen(true)}>
+              <Plus className="w-4 h-4 mr-2" aria-hidden="true" />
+              Registrar salario
+            </Button>
             <Button
               variant="outline"
               size="sm"
@@ -152,6 +158,12 @@ export default function Salarios() {
           </CardContent>
         </Card>
       )}
+      {entryOpen && (
+        <SalaryEntryDialog
+          onClose={() => setEntryOpen(false)}
+          onSaved={() => { void query.refetch(); }}
+        />
+      )}
     </div>
   );
 }

frontend/vite.config.ts

@@ -3,6 +3,11 @@ import react from "@vitejs/plugin-react-oxc";
 import tailwindcss from "@tailwindcss/vite";
 import path from "path";
 
+// Browser requests arrive at Vite, which then proxies them to the backend.
+// Locally the backend is published on the host; Docker Compose supplies the
+// service hostname instead (see docker-compose.yml).
+const backendUrl = process.env.BACKEND_URL ?? "http://localhost:8001";
+
 export default defineConfig({
   plugins: [react(), tailwindcss()],
   resolve: {
@@ -19,7 +24,7 @@ export default defineConfig({
       },
       // All other API calls → Python backend
       "/api": {
-        target: "http://localhost:8001",
+        target: backendUrl,
         changeOrigin: true,
       },
     },