Orquesta AI Prompts
Enterprise-ready no-code building block for product teams to infuse products with AI capabilities and prompt management tools.. [Freemium]
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What is Orquesta AI Prompts?
Orquesta AI Prompts is a unified generative AI collaboration platform that enables teams to build, ship, and scale AI agents with full control. The platform provides complete agent lifecycle management, covering the workflow from building and configuring intelligent agents to observing production behavior, evaluating outputs against real metrics, and continuously improving based on production data. AI drifts, hallucinates, and regresses silently, so Orq.ai implements quality gates and observability to address these challenges.
Key features include AI Gateway with access to 400+ models from 28+ providers, full AI observability with real-time tracing of every prompt and tool call, offline and online evals for quality measurement, AI Governance via Control Tower for monitoring cost and compliance, and a Shared Library for versioned prompts, skills, MCPs, and tools. The platform supports framework-agnostic development with LangGraph, OpenAI Agents, CrewAI, Vercel AI, and OpenTelemetry, offers Auto Router for intelligent model selection, and includes Orq MCP & Skills for querying traces from coding agents.
Orq.ai is designed for AI engineers, GenAI leads, principal engineers, founding engineers, and development teams building production AI applications. It serves organizations ranging from individual developers to large enterprises needing enterprise security, EU compliance, SOC 2 certification, GDPR compliance, and EU AI Act alignment. The platform supports cloud, hybrid, and on-prem deployment with data residency options in the EU or chosen regions.
Orquesta AI Prompts pricing
Pricing model: Freemium
Three plans available: Developer (Free) includes 1 user, 50k spans/month, 3 agents, 50 runs/month, 2 knowledge bases/memory stores, 10 MB storage, 14-day trace retention, 1 GB ingestion, 50/day rate limits, 3 deployments, 1 webhook, email support. Developer Paid (Growth) costs €35/seat per month with unlimited users, 100k spans/month (then €7/100k spans), unlimited agents, 500 runs/month, 10 MB storage, 30-day trace retention, higher rate limits, unlimited deployments, 5 webhooks, Teams add-on for Slack/Teams support. Enterprise offers custom pricing with unlimited everything, custom span pricing, custom storage, custom rate limits, uptime SLA, dedicated account manager, solutions engineer, SLA, SSO/SCIM API, HIPAA, audit logs, VPC deployment, AWS/Azure marketplace, and priority document processing.
Orquesta AI Prompts pros
- Access to 400+ models from 28+ providers through AI Gateway
- Real-time tracing of every prompt, tool call, and retrieval step
- Framework agnostic - works with LangGraph, OpenAI Agents, CrewAI, Vercel AI
- Auto Router automatically selects best model by cost, latency, or quality
- SOC 2 Type II certified with GDPR compliance and EU AI Act alignment
- EU data residency option with automatic sensitive field masking
- Self-hosted and on-premise deployment available for Enterprise
- Shared Library with versioned prompts, skills, MCPs, and tools
- Offline and online evals with side-by-side version comparison
- Feedback API captures ratings and corrections in two lines of code
- Orq MCP & Skills enable querying traces from any coding agent in plain English
- Identities feature provides per-identity quotas and cost attribution
- Multi-agent system building with A2A protocol exposure
- RAG-as-a-Service with chunk explorer, embedding, and reranking
- PII filtering and role-based access control for security
Orquesta AI Prompts cons
- Free Developer plan limited to 1 user only
- Free plan only includes 3 agents maximum
- Free plan limited to 50 agent runs per month
- Free plan only 10 MB storage for knowledge bases and memory stores
- Free plan has 14-day trace retention vs 30 days for paid
- Free plan limited to 50 API requests per day rate limit
- Only 1 webhook allowed on free plan vs unlimited on Enterprise
- No Slack/Teams support on free plan without Teams add-on
Frequently asked questions about Orquesta AI Prompts
What is the easiest way to try Orq.ai?
You can sign up for a free Developer account to start building with your own data. The free plan includes 50k spans per month, and access to all core platform features with some restrictions — no credit card required.
What is a span?
A span is the fundamental unit of observability in Orq.ai. Each span represents a discrete operation in your AI application, such as a model invocation, a tool execution, a retrieval step, or an evaluation. Spans are the building blocks of traces and are automatically created when your application interacts with Orq.ai.
What is the difference between a span and a trace?
A trace represents a complete end-to-end interaction in your application, such as a user request or an agent invocation. A span is a single step within that trace. For example, when an agent processes a user query, the full interaction is captured as one trace, while each individual operation within it (an LLM call, a tool execution, a retrieval step) is recorded as a separate span. Billing is based on spans.
What is an agent run?
An agent run is recorded each time an agent is invoked through Orq.ai's Agent Runtime. A single agent run may contain multiple spans (LLM calls, tool executions, memory lookups, etc.), giving you full visibility into every step of the agent's behavior.
What is a knowledge base and what is a memory store?
Knowledge bases and memory stores are both built on top of a vector database but serve different purposes. A knowledge base is fully controlled by the builder — you upload and manage documents, and can expose them on deployments and agents for retrieval-augmented generation (RAG). A memory store is filled dynamically by agents at runtime, such as conversation history or contextual memory. The free plan includes 2 combined — that could be 2 knowledge bases, 2 memory stores, or 1 of each.
What is a deployment?
A deployment exposes a prompt and model configuration to the Orq.ai API so your application can call it in production. Deployments include versioning, retries, fallbacks, and contextual rules. The free plan includes 3 deployments.
Can I use my own private or fine-tuned models?
Yes! All Orq.ai plans support private and fine-tuned models. You can connect your own models through the AI Router alongside 300+ supported models from 20+ providers.
Does Orq.ai support self-hosted or on-premise deployment?
Yes, self-hosted and on-premise deployment options are available for Enterprise customers. This includes deployment in your own VPC or private cloud to meet stricter compliance and data residency requirements.
What security and compliance standards does Orq.ai meet?
Orq.ai is SOC 2 Type II certified, GDPR compliant, and aligned with the EU AI Act, ensuring enterprise-grade security and data protection. For organizations with advanced security needs, they offer self-hosted, VPC, or hybrid deployment options.
Which plan is right for me?
Developer Free is for individual developers or single teams getting started with 50k spans/month and core platform features. Developer Paid (Growth) is for small teams needing higher limits with 100k spans/month at €35/seat, with additional spans at €7 per 100k. Enterprise is for larger organizations with custom requirements such as high data volumes, advanced security needs, on-premise deployment, dedicated support, and role-based access control.