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No public announcement. Just quietly added to killed by google. Step 2 just fails with an error: https://developers.google.com/tenor/guides/quickstart

Hello Tenor API customer,

We're writing to inform you about the deprecation of the Tenor API offering on June 30, 2026. We are making this change to focus our resources on enhancing the main Tenor experience.

The Tenor API has been a valuable tool for many developers. We sincerely appreciate your partnership and the innovative ways you have integrated Tenor into your applications. Your contributions have helped shape the Tenor ecosystem.

What you need to know Key Dates:

Starting January 13, 2026, New API key sign-ups and new integrations will no longer be allowed On June 30, 2026, any API or Ads Distribution Agreements you have with Tenor will be terminated The Tenor API will continue to work for existing integrations until June 30, 2026 Advised Action:

Plan and make any necessary changes before June 30, 2026 Potential Impact:

After June 30, 2026, failure to transition out of the API will return an error message when attempting API requests Thanks for choosing Tenor API.

– The Google Cloud Team

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Hi HN,

I'm Bryan, an ex-big-tech engineer that's been tinkering with AI for the past two years. I made Pixie, an open-source project that allows you to debug your AI application interactively in the web browser, with just a few lines of setup.

## Why

I started this project because I find debugging my AI applications time-consuming and cumbersome. A lot of my projects are experimental, so it doesn’t make sense for me to build the frontend just to test, or setup automated tests/evals. So what I ended up doing is a lot of inputting awkwardly into the command line, and looking through walls of logs in different places.

## How it works

Start local devserver:

```bash pip install pixie-sdk pixie ```

Add decorator to an async function or generator for the AI app.

```python import pixie

... @pixie.app async def my_app(initial_input): ... # use this if you want interactivity from web ui # specify expected input type with any json or pydantic type user_input = yield pixie.InputRequired(int) ... ```

Then open [Web UI](https://gopixie.ai) to start debugging.

Here's a [demo](https://www.loom.com/share/6d419cfe20884b3994121697377b2a7e)

It currently works out-of-the-box for applications built with Pydantic-ai, langchain, langgraph and openAI SDK/Agents.

Looks interesting? Would love to hear your thoughts!

I developed SQG because I had to access a SQLite and a DuckDB database from Java and from Typescript and was unhappy about maintaining the DB access code twice.

Also for larger analytics queries (DuckDB) it was annoying to copy the query out of the code into DBeaver, work on it and then copy it back into the code.

So I thought of a way of keeping the SQL queries in a separate file, compatible in DBeaver format so I can run them there, and also generate the code from it.

This works especially well with DuckDB since it has full type information of the query result, better than SQLite which has it only for fields, not for expressions.

For DuckDB it can also generate code using their Apache Arrow API for very fast access.

I hope you find it useful, I am glad to hear your feedback.

GitHub: https://github.com/sqg-dev/sqg Docs: https://sqg.dev Try it online: https://sqg.dev/playground/

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