Future AGI AI Evaluation SDK

Overview

Future AGI AI Evaluation SDK combines agent evaluation, tracing, and simulation for developers and teams operating AI agents. It is strongest for teams that want those capabilities together, with a route to self-hosting when data must stay inside their network.

The breadth is useful, but the free tier has firm monthly quotas and pauses when they are reached. Teams expecting continuous usage should weigh that against the usage-based Pay-as-you-go option and the fixed-price plans.

Key features

Evaluation and tracing

Evaluation spans heuristic checks, code-based tests, LLM-as-judge assessments, and agentic evaluations, with templates and CI/CD support. Tool-call checks, safety evaluations, and regression runs make the toolkit relevant to teams validating agent workflows as they change, rather than only checking standalone model responses.

TraceAI represents LLM calls, tool use, retrieval, and chain steps as OpenTelemetry spans. That gives teams a way to inspect activity across an agent's workflow. The platform lists 79 integrations and SDK packages for Python, TypeScript, and Java, with featured connections including OpenAI, Anthropic, Google GenAI, Vertex AI, AWS Bedrock, and Azure OpenAI.

Simulation and deployment

Text and voice simulation use personas and scenarios, so teams can exercise interactions beyond a fixed evaluation set. The Free plan allows 1M text simulation tokens and 60 voice minutes per month; those limits suit modest experimentation but may be restrictive for frequent or broad test runs.

The platform is Apache 2.0 licensed and offers Docker, Python SDK, and Node SDK self-hosting options. Its Docker Compose deployment keeps traces, datasets, evaluations, and model calls within the customer's network, which is a meaningful advantage for teams with data-control requirements. Enterprise deployment also includes managed cloud, private cloud in the customer's AWS, GCP, or Azure account, and air-gapped on-premise options.

Pricing

Free costs $0 /month and includes 50 GB storage/mo, 2K AI credits/mo, 100K gateway requests/mo, 100K cache hits/mo, the simulation allowances above, 30-day data retention, and community support. It is a practical starting point, but usage pauses at the cap, so it is not suited to workloads that cannot tolerate interruptions.

Pay-as-you-go starts at $0 /mo + usage and includes everything in Free, usage-based billing after the free tier, volume discounts at scale, 30-day retention, email support, billing alerts, and spending caps. It avoids the Free plan's hard stop, but overages incur charges; teams should use the alerts and caps to manage spend.

Boost costs $250 /mo. It adds 90-day retention, five knowledge bases, 10 annotation queues, 15 monitors, SOC 2 Type II, OAuth SSO, audit logs, a 99.5% SLA, and 48-hour email support. It suits teams needing more retention and operational controls than Free or usage-based plans provide.

Scale costs $750 /mo and includes everything in Boost, one-year retention, unlimited queues and monitors, review workflow, inter-annotator agreement, HIPAA BAA, SAML SSO plus SCIM, a 99.9% SLA, 24-hour email support, and a Slack channel. Its higher cost is aimed at teams with formal review, compliance, and response-time needs.

Enterprise costs $2,000 /mo and includes everything in Scale, custom retention, ABAC, data masking, a dedicated support engineer and CSM, training sessions, architecture review, a financial SLA, and custom rate limits. It is the fit for organizations needing dedicated support and deployment or access controls beyond the standard tiers.

Platforms

Future AGI supports API, Linux, macOS, self-hosted, web, and Windows environments. Its range of SDK and deployment options gives teams flexibility to integrate it into varied development and hosting setups.

Who it's for

This is a strong fit for startups and enterprise teams building AI agents that need evaluation, tracing, and simulation in one platform. Self-hosting and private or air-gapped deployment make it particularly relevant when customer-network boundaries matter. A team seeking only a local test runner, or one whose usage would quickly exceed Free limits without budget for usage charges, may prefer a narrower or simpler option.

Pros and cons

• Pros: Evaluation, tracing, and text and voice simulation sit together, reducing the need to assemble separate tools for those tasks.
• Pros: Apache 2.0 licensing and self-hosting options support teams that need control over where traces, datasets, evaluations, and model calls stay.
• Pros: The paid tiers progressively add retention, collaboration, compliance, support, and service commitments for growing operational needs.
• Cons: Free use pauses at its cap, which can interrupt evaluation or simulation until usage is addressed.
• Cons: Pay-as-you-go avoids the cap but introduces overage charges, so costs depend on usage.
• Cons: Boost, Scale, and Enterprise have substantial fixed monthly prices, making them harder to justify for small projects that do not need their added controls and support.

Alternatives

AI Agent Evaluation Tools is a category directory for comparing options across the space.

Choose Promptfoo if its free Community plan's 10k red-team probes per month and local or self-hosted runs better match a focused evaluation workflow.

W&B Weave is another freemium option with evaluation, tracing, and scorers; consider it if its 1 GB/mo ingestion and 5 GB/mo storage free allowance fits your expected use.

DeepEval is an Apache 2.0 open-source framework for local and CI/CD evaluation runs, a more focused choice for teams prioritizing that workflow.

Noveum offers a free tier with 2.5K credits/mo, 1M spans/mo, 2 GB storage, three members, and 30-day retention; it may suit teams whose needs fit those limits.

Opik makes its core observability and evaluation feature set available as open-source code to download and run locally, an alternative for teams focused on local deployment.

Strands Evals is a free open-source Python SDK and CLI, a fit for teams seeking that form of evaluation tooling.

AgentClash offers a free plan with one workspace and 25 evaluation runs per month, suitable for a small run-volume allowance.

Arklex provides ArkSim as an open-source agent testing framework.

Verdict

Future AGI is a compelling choice for teams that need to evaluate, trace, and simulate AI agents together, especially when self-hosting or enterprise deployment controls matter. Its main reason to choose is that breadth paired with flexible deployment; look elsewhere if the free cap is too limiting and the paid plans or usage charges do not fit your budget.