Sold by: OpenServ
Quick Launch
Enterprise reasoning infrastructure that improves AI agent reliability, consistency, and production readiness across leading foundation models.
Overview
SERV Reasoning is a reasoning and execution layer designed to make AI agents more reliable for enterprise production environments.
Rather than relying on raw foundation model outputs alone, SERV introduces structured reasoning and execution workflows that improve consistency, auditability, and reproducibility.
SERV integrates with leading foundation models and helps organizations build production-grade AI agents with improved reliability, governance, and operational control.
Common use cases:
- Enterprise AI agents
- Multi-step reasoning workflows
- Agent orchestration
- Tool-using agents
- Production AI systems
- Reliability and governance layers for LLM applications
Highlights
- Improve AI agent reliability and consistency in production environments.
- Works with leading foundation models and existing agent architectures.
- Designed for enterprise-grade governance, auditability, and reproducibility.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Quick Launch
Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
SERV Inference Usage | Metered SERV inference usage. 1 unit = $0.01 of consumption across all models. | $0.01 |
Dimensions summary
You pay for this reasoning API based on actual usage, with no upfront commitment. Billing uses a single metered dimension: SERV Inference Usage, measured in units. Each unit equals $0.01 of consumption, and this applies across all models. Your cost scales directly with how much inference you run. There are no separate tiers, instance sizes, or seat charges. The more reasoning your agents consume, the more units you accrue.
Top-of-mind questions for buyers
One unit equals $0.01 of consumption across all models. As you send requests, the reasoning engine meters the underlying inference work and converts it into units. Your usage accrues in these fixed increments regardless of which model handles the request, so a single price applies uniformly.
The engine breaks requests into bounded, validated steps and forces outputs to follow set specifications. This reduces retries and parsing errors, so fewer wasted calls accrue. Execution work routes to small models while graph creation uses specialist models. Lower token multiplication means fewer metered units for the same task.
You pay only for metered usage, with no upfront commitment. Charges accrue as you run inference, measured in units. When you send no requests, no units accrue. This model suits variable workloads where consumption changes over time rather than a fixed, continuous rate.
docs.openserv.ai
Helpful?
Vendor refund policy
SERV Inference Usage is billed based on metered consumption. Because usage is consumed in real time, charges are generally non-refundable. If you were billed in error or experienced a service issue, contact the OpenServ team at support@openserv.ai within 30 days of the charge and we will review your request and issue a refund where warranted.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
SERV Reasoning API
SERV exposes an OpenAI-compatible Chat Completions API. If you already use the OpenAI SDK, just point it at the SERV base URL and use your SERV API key.
Base URL
<https://inference-api.openserv.ai/v1>
Authentication
All requests require a bearer token: Authorization: Bearer YOUR_SERV_API_KEY
Endpoint
POST /chat/completions
Quickstart (JavaScript)
Quickstart (curl)
Available models
serv-nano, serv-mini, serv-swift, serv-standard, serv-pro, serv-ultra
Response
Standard OpenAI-compatible JSON: id, model, choices[].message, and usage (token counts).
Error codes
- 401 Unauthorized — invalid or missing API key
- 429 Too Many Requests — rate limited; retry with backoff
- 500 Server error
Documentation
Support
Vendor support
For product support, contact the OpenServ Enterprise team. We provide email support for onboarding, API integration, and account questions.
Email: support@openserv.ai Documentation: https://docs.openserv.ai
We typically respond within one business day.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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