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Ahura AI

Cheap inference for everyday turns.

Single-turn inference across several models, priced per call. Send a prompt, get an answer, pay for exactly that. Use it for the many small decisions an agent makes, without running a model gateway.

What it does

Multiple models, one call
Pick a model, or let the platform choose a low-cost one that suits the task.
Embeddings
Turn text into vectors for search and similarity.
Metered per call
Cost is known up front and charged per request.
Stateless by design
Keep context in Memory or Store. Each call stands alone.

An agent calls it like this

{ "tool": "ai.infer", "model": "lite", "prompt": "Classify this ticket: …", "max_tokens": 200 }

Interactive simulation

Try Ahura AI

Press Run to send the call. The dashboard shows what it would use in a partition. Simulated: nothing is actually executed.

ahura mcp · ptn_demo_7f3a

# Route a ticket with a cheap model.

→ POST /mcp

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "ai.classify",
    "arguments": {
      "text": "My invoice was charged twice.",
      "labels": [
        "billing",
        "bug",
        "feature",
        "other"
      ]
    }
  }
}

# Draft a reply.

→ POST /mcp

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "ai.infer",
    "arguments": {
      "model": "lite",
      "prompt": "Draft a one-line reply to a double-charge complaint.",
      "max_tokens": 60
    }
  }
}

# Embed text for search.

→ POST /mcp

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "ai.embed",
    "arguments": {
      "input": [
        "Refund policy",
        "Cancellation terms"
      ]
    }
  }
}

Ready. Press Run.

ptn_demo_7f3a

Partition · N. Virginia · created just now

Simulated

Activeus-eastRetention hold

days left

Run time

0.0s

0 calls

Size

2.3MB

0.00 ACU used

Services in this partition

AI
0 calls · 0.00 ACU

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Why it matters

Where Ahura AI beats juggling model APIs.

Most agent turns are small decisions. Wiring up several model providers just to make them is expensive in money and in code.

Direct model APIs

Open accounts, manage keys and quotas with each provider.
Hard-code model names and rewrite when they change.
Build retries, JSON repair and batching yourself.
Find out what a call cost at the end of the month.

Ahura AI

One endpoint, one balance, many models.
Ask for a tier and let the model behind it improve over time.
Schemas, repair, classification, extraction and batching are single calls.
Exact token cost on every response, with usage rollups.

Cost
A cheap tier for routine turns, a strong one when it matters.
Quality
Structured output validated and repaired automatically.
Privacy
Prompts and answers are not stored by default.
Simplicity
No provider keys inside your agent.

Ahura AI is single-turn. It does not manage conversations, stream responses or fine-tune models.

In depth

What Ahura AI can do.

Tiers, not model names
Ask for micro, lite, pro or a quality alias. The model behind a tier can be upgraded without changing your agent.
Structured output
Pass a JSON schema and get validated JSON back. If the first answer does not fit, Ahura repairs it once automatically.
One-call helpers
Classify text against up to 50 labels, extract fields into a schema, or summarise long documents, in a single call each.
Long documents handled
Summaries of text larger than a model’s window are split, summarised and combined for you.
Images in
Send images for understanding on the tiers that support them.
Embeddings
Turn up to 96 strings per call into vectors, in English or multilingual models, with a choice of size.
Batches
Run up to 20 requests in parallel in one call.
Know the cost
Estimate tokens first, see the exact usage and cost on every response, and roll usage up per account.
Private by design
Prompts and answers are not stored. Only usage counts are kept. Opt in to tracing when you want a record.

Models

Available models.

One call, many models. Pick one by name, or let Ahura choose a low-cost model that fits the task. Models are added and retired over time, so the live list is returned by the ai.models tool.

Claude Opus 5.5
Anthropic
The most capable tier for deep reasoning, long documents and difficult multi-step work.
Frontier
Claude Sonnet 5.5
Anthropic
Strong all-round quality at a moderate cost. A sensible default for agent work.
Balanced
Claude Haiku 5.5
Anthropic
Quick, inexpensive responses for classification, routing and high-volume tasks.
Fast and low-cost
Llama 4 Maverick
Meta
Large open-weights multimodal model for general chat, reasoning and image understanding.
Open weights
Llama 4 Scout
Meta
Efficient open-weights model with a very long context window for large inputs.
Open weights
Llama 3.3 70B
Meta
Proven open-weights text model with dependable instruction following.
Open weights
Mistral Large 2
Mistral AI
Capable multilingual model with strong coding and function-calling skills.
Balanced
DeepSeek-R1
DeepSeek
Reasoning-focused model that works through problems step by step.
Frontier
Qwen3 235B
Alibaba
Large mixture-of-experts open-weights model strong in multilingual and coding tasks.
Open weights
gpt-oss-120b
OpenAI
Open-weights reasoning model suited to agentic and tool-using workloads.
Open weights
Command R+
Cohere
Enterprise model built for retrieval-augmented answers with citations.
Balanced
Ahura Text Embeddings
Ahura
Turns text into vectors for search, similarity and clustering.
Embeddings

Every call, listed

9 tools your agent can call. Each one is a standard MCP tool with a typed schema and a price shown in tools/list.

Inference

ai.infer: One model turn, with system prompt, schema, images and limits.
ai.classify: Choose a label, or several, for a piece of text.
ai.extract: Pull structured fields from text or a stored file.
ai.summarize: Summarise as bullets, a paragraph or a one-liner.
ai.batch: Up to 20 requests at once.

Embeddings

ai.embed: Vectors for text, inline or from a stored file.

Information

ai.models: Tiers, limits, prices and which are available right now.
ai.count_tokens: Approximate token count for a tier.
ai.usage: Token usage and cost rollups.

Ahura AI is single-turn. Keep conversation history in Memory or Store and send what is needed. Streaming responses are not included. For fine-tuning and image generation, see Ahura GPU.

Use cases with AI

All use cases

and 10 more

Industries using Ahura AI

Data Science

Works with

Next: Ahura Quantum

Ahura Quantum

The first fully integrated quantum environment for agent workflows.

Ahura GPU

Scale-to-zero acceleration for inference and training.

Ahura Memory

Fast working memory for agents.

Ahura Store

Persistent files and objects.

Partitions

Where this service's data lives and how it freezes.

Ahura AI

What it does

An agent calls it like this

Try Ahura AI

Where Ahura AI beats juggling model APIs.

Direct model APIs

Ahura AI

What Ahura AI can do.

Tiers, not model names

Structured output

One-call helpers

Long documents handled

Images in

Embeddings

Batches

Know the cost

Private by design

Available models.

Claude Opus 5.5

Claude Sonnet 5.5

Claude Haiku 5.5

Llama 4 Maverick

Llama 4 Scout

Llama 3.3 70B

Mistral Large 2

DeepSeek-R1

Qwen3 235B

gpt-oss-120b

Command R+

Ahura Text Embeddings

Every call, listed

Inference

Embeddings

Information

Use cases with AI

Industries using Ahura AI

Works with