Reports on running batch and fine-tuning jobs, maintains and searches vector stores, transcribes or voices audio, and runs moderation and evals.
126actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro generates conversational responses using OpenAI models to solve customer problems instantly. The customer gets precise, helpful answers powered by advanced reasoning.
Ayro searches an OpenAI vector store to find the most relevant document chunks for a customer query. Results are ranked by relevance so the agent answers with the most accurate sources.
Ayro uploads files to OpenAI for use in embeddings, batch processing, or assistant tools. The files are now available for all downstream API calls that reference them.
Each card is one request a support team gets, and the Openai actions Ayro runs to close it.
Ayro lists the batches in flight, retrieves the one in question with its status, and reads the events logged against a fine-tuning job, so whether a run finished is answered without opening a dashboard.
Ayro adds the new document to the vector store, searches it to confirm the content comes back, and removes the file a policy change made obsolete, so retrieval stays aligned with the source.
Ayro transcribes a recording, translates a foreign-language file into English, and voices a written answer as speech, so a call recording or a written reply changes format on request.
Ayro runs a moderation pass over the text, starts an evaluation run against a defined eval, and grades the result, so a change is measured rather than shipped on the strength of one spot check.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Openai actions it has and picks the ones a request needs.
Authorize the Openai account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Describe the job the way you would hand it to a teammate. Ayro maps it to the Openai actions that close it and chains as many as the request needs.
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started freeOpenai · Ayro
What can you do in Openai without me setting anything up?
These, right away:
Great, let's start with the first one.
FAQ
Setup, permissions, and the limits of what Ayro can do inside Openai.
It can count them, not price them. Get Input Token Counts returns the token count for an input before it is sent, and List Batches with Retrieve Batch show the volume already processed. Billing is not part of this toolkit, so an actual figure still comes from OpenAI's own usage reporting.
All 126 actions your agent can call on Openai, straight from the live MCP connection.
Add a part (chunk of bytes) to an Upload object.
Cancel an in-progress batch.
Cancel an ongoing evaluation run.
Cancel a background model response by its ID.
Cancel a run that is currently in progress.
Cancel an upload.
Compact a conversation or response to reduce token usage.
Transcribe audio files to text via OpenAI Audio Transcriptions API.
Translate audio files to English text via OpenAI Audio Translations API.
Create and execute a batch from an uploaded file of requests.
Create a chat completion response from OpenAI models.
Generate text completions using OpenAI's legacy Completions API.
Create a new container with configurable memory, expiration, file access, and network policies.
Create a file in a container.
Create a new conversation for multi-turn interactions.
Create items in a conversation with the given ID.
Generate text embeddings via the OpenAI embeddings endpoint.
Create an evaluation structure for testing a model's performance.
Create a new evaluation run for testing model configurations.
Create a fine-tuning job which begins the process of creating a new model from a given dataset.
Generate an image via the OpenAI Images API and return hosted image asset URL and metadata.
Create edited or extended images via OpenAI Images Edit API.
Create a variation of a given image using the OpenAI Images API.
Create a new message in a specific thread.
Classify text and/or image inputs for potentially harmful content via the OpenAI Moderation API.
Create a Realtime API call over WebRTC and receive the SDP answer needed to complete the peer connection.
Create an ephemeral client secret for authenticating Realtime API connections.
Create an ephemeral API token for client-side Realtime API applications.
Create an ephemeral API token for realtime transcriptions via the Realtime API.
Generate a one-shot model response via the Responses API.
Same connection, same setup. Pick the next one your team already uses.
Searches Trello cards semantically, lists the tables in an Airtable base, validates an IBAN, and pushes a prepared deal record in.
Reports deployment accuracy and drift, starts Autopilot runs, queues batch predictions, and keeps datasets linked to the right use case.
Generates chat completions, transcribes and translates audio recordings, and checks the live model catalogue before every request.
Fetches the parsed text and metadata for Metaphor documents by ID, several at a time, turning a set of result IDs into readable content.
Turns recordings and live audio into transcripts with speaker labels, produces SRT and VTT subtitles, and clears finished jobs on request.
Creates Typefully drafts from a request, checks what is already scheduled or published, and clears the notification inbox.

Authorize the account and your agent has all 126 actions from the first conversation.
