ev _ = await tg.fetch_post("/api/web/facebook/download", url="https://www.facebook.com/groups/788889186033999/permalink/1325624742360438/?app=fbl", check_errors=True)

noob = await tg.raw.sendVideo(chat_id=m.chat.id, video=_.data.video[0].url, reply_markup=tg.kb().copy_text("ok", "ok").build()).execute()

return noob["ok"]

Userbot scripts > beginner stage

Built frameworks & SDKs:
• tgcore (py/ts)
• userbot-auth
• services-pro
• multi API SDK
• akenoai-lib

Developer path:
Noob > Coder > Lead Developer > Engineer > Architecture 🗿

From userbot scripts
to building your own framework.

TGCore Architecture Update!

• Added fluent chain API
• Added .send() and .skip()
• Added sendMessageDraft endpoint

Minimal usage:
await tg.raw.sendMessage().chat_id(id).text("ok").skip()

No need for long InlineKeyboardMarkup

Keyboard builder integrated

_ = await tg.fetch_post(
  "/api/web/facebook/download",
  url="https://www.facebook.com/groups/788889186033999/permalink/1325624742360438/?app=fbl",
  check_errors=True
)

await tg.raw\
      .sendVideo()\
      .chat_id(m.chat.id)\
      .video(_.data.video[0].url)\
      .reply_markup(
        tg.kb().copy_text(
          "this SDK builder style",
          "use a framework"
        )
        .build()
      )\
      .skip()

InlineKeyboardMarkup 15 lines
vs
tg.kb().url().build() 1 line

InlineKeyboardMarkup([...])
vs
tg.kb().callback().build() 😈

Scripts vs Architecture.

TGCore Architecture Update!

Added new platform methods:
• tg.platform.tiktok.download()
• tg.platform.facebook.download()
• tg.platform.pinterest.download()

Example usage:

resp = await tg.raw.chatCompletions()\
   .model("kimi-dev")\
   .messages(
       [{"role": "user", "content": "say test"}]
   )\
   .stream(False).send(allow_object=True)

return resp.data.choices[0].message.content

• Platform Tools

await tg.platform.tiktok.download(url=url).send()

Why TGCore? Fluent Builder API Advantage

TGCore is an enterprise-grade Telegram SDK framework designed for scalable and secure Telegram automation.

Key capabilities include:
The Fluent Builder API has clean, chainable syntax for easy-to-read bot workflows.

Platform Tools: provides centralized services for multi-bot management.

AI integration: built-in support for modern AI providers

Lead Architect: @zxyeor

Unlike traditional Telegram SDKs that rely on nested calls and verbose syntax, TGCore introduces a fluent builder architecture that simplifies complex operations.

This design reduces repetitive code, avoids patterns that use too many callbacks, and allows developers to build large-scale Telegram automation systems with code that is easy to use.

You can do it in a single line no need for verbose code.

resp = await tg.raw.chatCompletions().model("kimi-dev").messages(
    [{"role": "user", "content": "say test"}]
).stream(False).send(via_chat=True)

return resp.text()

PyPi: https://pypi.org/project/tgcore/1.0.52/

While everyone waits for library updates…

TGCore devs:
"Just build your own architecture"

Developers writing long kwargs everywhere:
"send_message(chat_id=..., text=..., ...)"

TGCore devs:
"tg.raw.sendMessage().chat_id(id).text("hi").send()" 😈

ev user = await tg.platform.facebook.download(url="https://www.facebook.com/share/r/1FNECz3fP7/").send(via_result=True)

await tg.raw.sendVideo().chat_id(m.chat.id).video(user.video_url(0)).skip()

ev user = await tg.platform.blackforest.image().query("Make a picture of a cat clothes logo architecture, background color Abstraction").send(via_result=True)

await tg.raw.sendPhotoUpload().chat_id(m.chat.id).photo(tg.writer(user.image_bytes(), True)).skip()