Sends prompts to deepseek-chat or deepseek-reasoner with tool calling and thinking mode, and checks balance and model availability first.
4actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro generates responses using DeepSeek's Anthropic-compatible API, supporting system prompts and tool calls for flexible interactions. This ensures DeepSeek compatibility.
Ayro uses DeepSeek's reasoning model to generate intelligent responses for complex customer questions, leveraging advanced inference. This powers thoughtful, accurate answers.
Ayro shows available DeepSeek models and their capabilities, helping your team pick the right model for each conversation type. This enables model optimization.
Each card is one request a support team gets, and the DeepSeek actions Ayro runs to close it.
Ayro sends the conversation to deepseek-chat or deepseek-reasoner and controls temperature and max tokens, using either the standard chat completion endpoint or the Anthropic-compatible one with extended thinking.
Ayro reads the granted and topped-up balance on the DeepSeek account and lists which models are currently available, so a request is not sent to a model that is retired or against credit that has run out.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the DeepSeek actions it has and picks the ones a request needs.
Authorize the DeepSeek 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 DeepSeek 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 freeDeepSeek · Ayro
What can you do in DeepSeek 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 DeepSeek.
Yes. Get User Balance returns the account's current balance split into granted and topped-up amounts, broken down by currency in CNY or USD, so Ayro can flag a low balance before a batch of calls rather than after they start failing.
All 4 actions your agent can call on DeepSeek, straight from the live MCP connection.
Create a model response using DeepSeek's Anthropic-compatible API format with support for system prompts, tool calling, streaming, and thinking mode.
Create a chat completion using DeepSeek models (deepseek-chat or deepseek-reasoner).
Get user's current account balance including granted and topped-up balances with detailed breakdown by currency (CNY or USD).
List currently available DeepSeek models and provides basic information about each one such as the owner and availability.
Same connection, same setup. Pick the next one your team already uses.
Pulls bot transcripts and usage figures, clones blueprints into new bots, resyncs training datasets, and wires up messaging channels.
Speaks written answers aloud with a chosen voice and reports whether an avatar video render has finished and where the file sits.
Creates and reconfigures pipes, manages retrieval memories and threads, and pulls execution traces when a run needs debugging.
Runs similarity searches and reranks results, upserts records with generated embeddings, provisions indexes and namespaces, and runs backups and imports.
Creates and edits AI21 assistants, validates the Python behind their plans, indexes site content, and runs an assistant on request.
Writes thread messages into a user graph, retrieves the context relevant to the conversation, searches it semantically, and deletes data on request.

Authorize the account and your agent has all 4 actions from the first conversation.
