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feat(tiktok): tiktok.scrape capability + billing wire-up
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@ -35,6 +35,7 @@ _PLATFORM_RATE_KEYS: dict[BillingUnit, str] = {
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BillingUnit.GOOGLE_MAPS_REVIEW: "GOOGLE_MAPS_MICROS_PER_REVIEW",
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BillingUnit.YOUTUBE_VIDEO: "YOUTUBE_MICROS_PER_VIDEO",
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BillingUnit.YOUTUBE_COMMENT: "YOUTUBE_MICROS_PER_COMMENT",
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BillingUnit.TIKTOK_VIDEO: "TIKTOK_MICROS_PER_VIDEO",
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}
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@ -51,6 +52,7 @@ _UNIT_NOUNS: dict[BillingUnit, str] = {
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BillingUnit.GOOGLE_MAPS_REVIEW: "review",
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BillingUnit.YOUTUBE_VIDEO: "video",
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BillingUnit.YOUTUBE_COMMENT: "comment",
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BillingUnit.TIKTOK_VIDEO: "video",
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}
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@ -25,6 +25,7 @@ class BillingUnit(StrEnum):
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GOOGLE_MAPS_REVIEW = "google_maps_review"
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YOUTUBE_VIDEO = "youtube_video"
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YOUTUBE_COMMENT = "youtube_comment"
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TIKTOK_VIDEO = "tiktok_video"
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class BillableInput(Protocol):
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5
surfsense_backend/app/capabilities/tiktok/__init__.py
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5
surfsense_backend/app/capabilities/tiktok/__init__.py
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@ -0,0 +1,5 @@
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"""``tiktok.*`` namespace: platform-native TikTok data verbs."""
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from __future__ import annotations
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from app.capabilities.tiktok.scrape import definition as _scrape # noqa: F401
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@ -0,0 +1 @@
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"""``tiktok.scrape``: public TikTok videos over the browser-driven scraper."""
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@ -0,0 +1,23 @@
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"""``tiktok.scrape`` capability registration (billed per video; see config
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``TIKTOK_MICROS_PER_VIDEO``)."""
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from __future__ import annotations
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from app.capabilities.core import BillingUnit, Capability, register_capability
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from app.capabilities.tiktok.scrape.executor import build_scrape_executor
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from app.capabilities.tiktok.scrape.schemas import ScrapeInput, ScrapeOutput
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TIKTOK_SCRAPE = Capability(
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name="tiktok.scrape",
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description=(
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"Scrape public TikTok videos. Use urls, profiles, hashtags, or "
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"search_queries."
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),
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input_schema=ScrapeInput,
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output_schema=ScrapeOutput,
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executor=build_scrape_executor(),
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billing_unit=BillingUnit.TIKTOK_VIDEO,
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docs_url="/docs/connectors/native/tiktok",
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)
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register_capability(TIKTOK_SCRAPE)
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48
surfsense_backend/app/capabilities/tiktok/scrape/executor.py
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48
surfsense_backend/app/capabilities/tiktok/scrape/executor.py
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@ -0,0 +1,48 @@
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"""``tiktok.scrape`` executor: verb input → scraper → TikTok video items."""
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from __future__ import annotations
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from collections.abc import Awaitable, Callable
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from app.capabilities.core import Executor
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from app.capabilities.core.progress import emit_progress
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from app.capabilities.tiktok.scrape.schemas import ScrapeInput, ScrapeOutput
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from app.exceptions import ForbiddenError
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from app.proprietary.platforms.tiktok import (
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TikTokAccessBlockedError,
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TikTokScrapeInput,
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scrape_tiktok,
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)
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ScrapeFn = Callable[..., Awaitable[list[dict]]]
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def build_scrape_executor(scrape_fn: ScrapeFn | None = None) -> Executor:
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"""Bind the executor to a scraper fn (defaults to the proprietary actor)."""
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scrape_fn = scrape_fn or scrape_tiktok
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async def execute(payload: ScrapeInput) -> ScrapeOutput:
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actor_input = TikTokScrapeInput(
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startUrls=[{"url": url} for url in payload.urls],
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profiles=payload.profiles,
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hashtags=payload.hashtags,
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searchQueries=payload.search_queries,
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resultsPerPage=payload.results_per_page,
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)
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emit_progress(
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"starting", "Resolving TikTok targets", total=payload.max_items, unit="item"
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)
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try:
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items = await scrape_fn(actor_input, limit=payload.max_items)
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except TikTokAccessBlockedError as exc:
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# Anonymous-only scraper; a hard block can't be retried with creds.
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raise ForbiddenError(
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f"TikTok refused anonymous access: {exc}",
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code="TIKTOK_ACCESS_BLOCKED",
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) from exc
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emit_progress(
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"done", f"Scraped {len(items)} item(s)", current=len(items), unit="item"
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)
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return ScrapeOutput(items=items)
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return execute
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86
surfsense_backend/app/capabilities/tiktok/scrape/schemas.py
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86
surfsense_backend/app/capabilities/tiktok/scrape/schemas.py
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@ -0,0 +1,86 @@
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"""``tiktok.scrape`` I/O contracts.
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A lean, agent-friendly surface over ``TikTokScrapeInput``
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(``app/proprietary/platforms/tiktok``). The executor maps this to the full
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scraper input; the scraper's ``TikTokVideoItem`` is reused verbatim as the
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output element. Any TikTok URL kind (video, profile, hashtag, search) goes in
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``urls``; ``profiles``/``hashtags``/``search_queries`` are typed shortcuts.
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"""
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from __future__ import annotations
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from pydantic import BaseModel, Field, model_validator
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from app.proprietary.platforms.tiktok import TikTokVideoItem
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MAX_TIKTOK_SOURCES = 20
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"""Per-call cap on each source list: bounds a synchronous request's fan-out."""
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MAX_TIKTOK_ITEMS = 100
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"""Hard ceiling on items returned per call, regardless of the per-target count."""
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class ScrapeInput(BaseModel):
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urls: list[str] = Field(
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default_factory=list,
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max_length=MAX_TIKTOK_SOURCES,
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description=(
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"TikTok URLs to scrape: a video, a profile (/@<user>), a hashtag "
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"(/tag/<name>), or a search URL. Provide these OR profiles/hashtags/"
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"search_queries (at least one source is required)."
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),
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)
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profiles: list[str] = Field(
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default_factory=list,
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max_length=MAX_TIKTOK_SOURCES,
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description="Profile usernames (with or without a leading '@').",
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)
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hashtags: list[str] = Field(
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default_factory=list,
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max_length=MAX_TIKTOK_SOURCES,
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description="Hashtag names to scrape, without the leading '#'.",
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)
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search_queries: list[str] = Field(
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default_factory=list,
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max_length=MAX_TIKTOK_SOURCES,
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description="Search terms to run on TikTok.",
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)
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results_per_page: int = Field(
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default=10,
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ge=1,
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le=MAX_TIKTOK_ITEMS,
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description="Max videos to pull per profile/hashtag/search target.",
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)
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max_items: int = Field(
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default=10,
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ge=1,
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le=MAX_TIKTOK_ITEMS,
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description="Max total items to return across all sources.",
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)
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@model_validator(mode="after")
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def _require_a_source(self) -> ScrapeInput:
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if not any((self.urls, self.profiles, self.hashtags, self.search_queries)):
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raise ValueError(
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"Provide at least one of 'urls', 'profiles', 'hashtags', or "
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"'search_queries'."
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)
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return self
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@property
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def estimated_units(self) -> int:
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"""Worst-case billable items for the pre-flight gate: ``max_items`` is a
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hard cross-source ceiling (le=100), so no call can exceed it."""
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return self.max_items
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class ScrapeOutput(BaseModel):
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items: list[TikTokVideoItem] = Field(
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default_factory=list,
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description="One item per video returned, in emission order.",
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)
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@property
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def billable_units(self) -> int:
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"""One returned item = one billable unit."""
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return len(self.items)
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@ -714,6 +714,9 @@ class Config:
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# Kept separate from the video rate so comments can be re-tuned toward the
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# cheaper per-comment market ($0.40-2.00/1k) without touching video pricing.
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YOUTUBE_MICROS_PER_COMMENT = int(os.getenv("YOUTUBE_MICROS_PER_COMMENT", "1500"))
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# Browser-driven listings make TikTok heavier per item than the API-backed
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# video meter, so it sits a touch above YouTube's video rate.
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TIKTOK_MICROS_PER_VIDEO = int(os.getenv("TIKTOK_MICROS_PER_VIDEO", "3500"))
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# Low-balance WARNING threshold (micro-USD). Surfaced by the quota service
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# so the UI can nudge the user to top up / enable auto-reload. $0.50.
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@ -4,6 +4,7 @@ from fastapi import APIRouter, Depends
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import app.capabilities.google_maps
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import app.capabilities.google_search
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import app.capabilities.reddit
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import app.capabilities.tiktok
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import app.capabilities.web
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import app.capabilities.youtube # noqa: F401
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from app.automations.api import router as automations_router
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