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Agentic AI

AI That Builds APIs With You, Not Instead of You

Treblle's Agentic AI generates OpenAPI specs, implementation code, and SDKs from natural language descriptions, executes in an isolated sandbox, keeps your team in control at every decision point, and never sends your API data anywhere you have not approved.

Describe what you want to build

Tell the agent what API you need: its purpose, the resources it will expose, the consumers it will serve, and any constraints. The agent proposes a plan including a spec structure, endpoint list, and implementation approach for your review.

Review, approve, and iterate

The agent pauses at each significant decision point. You see what it is about to generate before it does. Approve, modify the plan, or redirect. The agent tracks progress in real time and surfaces what it has completed and what comes next.

Receive production-ready artifacts

Generated specs, code, and SDKs are validated for accuracy before delivery and integrate directly with Treblle's governance, documentation, and catalog workflows. The output lands in your existing development pipeline, not a separate system.

Agentic AI cards

What is Aspen?

A native API client built for teams who take data privacy seriously

Aspen is Treblle's desktop API client for testing and exploring APIs. It runs natively on your machine, stores all request data and collections on your local file system, and does not route your API requests through an external cloud service. Many popular API clients sync collections, environments, and request history to cloud accounts by default, which means API credentials, internal endpoint structures, and response payloads leave your network. Aspen makes a different choice: Local-Only Storage means your data stays on the machine where you are working. Aspen supports the full testing workflow teams need, including custom environments, variables, pre and post scripting, no-code test execution, and shareable collections, without the privacy trade-off.

Free Ebook

Buyer's Guide to API Observability

Code and Spec Generation

Generate specs, code, and SDKs from intent, not from scratch

The most time-consuming parts of API development are the parts that are most mechanical: writing an OpenAPI specification that covers every edge case, generating boilerplate implementation code that follows your conventions, producing client SDKs in three languages. Treblle's Agentic AI handles all of these from a description of what the API needs to do. OpenAPI Spec Generation produces a complete, valid spec. API Code Generation outputs implementation code that the spec describes. SDK Generation delivers client libraries immediately. Treblle SDK Integration wires observability into the generated code so the API is ready to monitor from the first deployment.

OpenAPI Spec Generation

Generates complete, valid OpenAPI 3.x specifications from natural language descriptions. Covers endpoints, schemas, authentication, and error responses, ready to import into Treblle's documentation and governance workflows.

API Code Generation

Produces implementation code for your API from the generated or provided spec, following your language and framework conventions. Reduces the time from spec to running server from days to hours.

SDK Generation

Generates client SDKs in multiple languages from your API spec. Consumers receive working client libraries immediately rather than writing integration code from the API reference by hand.

Treblle SDK Integration

Automatically integrates the Treblle observability SDK into generated code. Every API the agent builds is instrumented for monitoring, security scanning, and analytics from the first request.

Human Control

AI that works with your team, not around it

Autonomous AI agents that take actions without checkpoints are a significant operational risk. A misunderstood requirement early in the process compounds through every subsequent step. Treblle's Human-in-the-Loop by Default design stops this: the agent proposes its next action, shows you exactly what it will generate or execute, and waits for explicit approval. Real-time Progress Tracking shows where the agent is in the plan, what it has completed, what it is waiting on, and what comes next. Your team remains in the decision seat throughout.

Human-in-the-Loop by Default

The agent pauses at every meaningful decision point to present its plan and wait for approval. No autonomous action against your systems, no artifact published without a human reviewing and confirming first.

Real-time Progress Tracking

A live view of what the agent has completed, what it is working on, and what approval is needed before it can proceed. Full visibility into the agent's state at every point in the workflow.

Safe Execution

Isolated by default, with no access to production systems unsupervised

An AI agent that has access to your production database and deployment pipeline is an AI agent that can cause production incidents. Treblle's Sandboxed Execution runs all agentic tasks in an isolated environment with no connectivity to your live systems unless you explicitly grant it for a specific step. Generated code is validated in the sandbox before it is delivered. Air-Gapped Privacy ensures that for organizations with strict data residency requirements, the entire generation pipeline can operate within your network boundary with no outbound data leaving to external AI services.

Sandboxed Execution

All agentic AI tasks run in an isolated environment with no access to production systems by default. Generated code is validated in the sandbox before delivery. Mistakes in AI output stay contained.

Air-Gapped Privacy

Configure the agentic AI to operate entirely within your network boundary. API descriptions, code, and specs are processed without leaving your infrastructure, meeting the strictest data residency requirements.

Model Control

Your models, your rules, with accuracy built in

Generic AI generation tools lock you into a single LLM with no transparency about how your data is handled. Treblle's Bring Your Own Model lets you connect the LLM your organization has already approved: whether that is an OpenAI GPT model under your enterprise agreement, Anthropic Claude accessed through your AWS Bedrock account, or a self-hosted open-source model that never leaves your network. Built-In Accuracy validation checks generated specs and code against known-good patterns before delivering them, reducing the rate of hallucinated endpoints or invalid schema structures that would require manual correction.

Bring Your Own Model

Connect any LLM to the Treblle agentic layer: OpenAI, Anthropic Claude, Azure-hosted models, or self-hosted open-source alternatives. Use the model your organization has approved and contracted for, not a default you cannot control.

Built-In Accuracy

Generated specs and code are validated against structural and semantic rules before delivery. Reduces hallucinated endpoints, invalid schema references, and OpenAPI compliance errors that would require manual review and correction.

Related Capabilities

Treblle works best when working in unison. Check out other capabilities that will help you make the most out of your API landscape.

API Documentation

Auto-generated, always-current documentation that feeds the catalog's consumer-facing interactive docs, spec downloads, and SDK generation without a manual publishing step.

Explore API Documentation

API Governance

Governance scores factor in compliance posture alongside design quality, performance, and security, giving a complete picture of each API's maturity.

Explore API Governance

API Observability

The same full-payload capture that powers observability simultaneously feeds compliance evaluation, with no additional instrumentation.

Explore API Observability

Agentic AI: Common Questions

Agentic AI for APIs refers to AI systems that can autonomously or semi-autonomously complete multi-step API development tasks: generating specifications, writing implementation code, producing SDKs, and refactoring APIs. Unlike a code completion tool that suggests the next line, an agentic AI system plans and executes a sequence of steps to accomplish a goal, checking in with human reviewers at defined decision points.

Treblle's OpenAPI Spec Generation takes a description of the API you want to build and produces a complete, valid OpenAPI specification. This includes endpoint definitions, request and response schemas, authentication requirements, and error response structures. The generated spec follows OpenAPI 3.x standards and can be imported directly into Treblle's documentation, governance, and catalog workflows.

Human-in-the-Loop by Default means Treblle's agentic AI pauses at significant decision points to present its plan and wait for explicit approval before proceeding. The AI does not autonomously execute code against your systems, modify production configurations, or publish artifacts without a human reviewing and approving each step. Teams can see what the agent is about to do before it does it.

Sandboxed Execution in Treblle means agentic AI tasks run in an isolated environment that has no access to your production systems unless you explicitly grant it. Code generation, spec validation, and test execution happen in a contained context so a mistake in the AI's output cannot propagate to live services. This makes it safe to explore and iterate without protecting every step manually.

Yes. Treblle's Bring Your Own Model feature lets you connect your own LLM to the agentic AI layer, whether that is an OpenAI GPT model, Anthropic Claude, an Azure-hosted model, or a self-hosted open-source alternative. This gives teams control over which model processes their API descriptions and code, which is essential for organizations with data residency requirements or existing enterprise AI contracts.

Air-Gapped Privacy in Treblle Agentic AI means the system can be configured to operate without sending your API descriptions, code, or specifications to external services. For organizations in regulated industries or those with strict data handling policies, this allows full use of AI-assisted API generation within a controlled network boundary.

Build better APIs faster, without losing control

Talk to our architecture team about deploying the Treblle API Catalog across your organization.

Treblle

All Systems Operational

Gartner: Magic Quadrant, 2025

Gartner AI API Strategy, 2025

Everest Group: Enterprise App Integration Platforms, 2026

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© 2026 Treblle. All Rights Reserved.
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LinkedInYouTubeGitHubX / Twitter