A familiar API with a stricter runtime behind it.

Connect with a standard model client, then add customer scope, governed knowledge, agents, metering, and audit as the product requires.

Deeplinq puts one governed, billable layer between your applications, data, and models. Keep OpenAI and Anthropic interfaces while providers change behind them. Identity, live grants, budgets, guardrails, and tool approvals are enforced where each decision occurs. Model, billing, policy, and agent activity enters one correlated, tamper-evident record.

Change the base URL. Keep the client.

The credential represents the application, organization, and, when required, the person making the request. Deeplinq checks model access, balance, and policy before provider spend occurs.

First governed request

from openai import OpenAI

client = OpenAI(
    base_url="https://api.example.com/v1",
    api_key="<access-token>",
)

response = client.chat.completions.create(
    model="auto",
    messages=[
        {"role": "user", "content": "Summarize the policy."},
    ],
)

Make the first request · Understand the authentication lanes

One platform. Four business outcomes.

The gateway, knowledge, agents, billing, and audit layers work as one system, so control becomes part of the product instead of a parallel project.

Create new revenue

Meter real usage, set model pricing and margin, fund customer credits, and stop calls before an empty balance incurs provider cost.

Ship sooner

Connect standard model clients, configure governed knowledge, and run durable assistants without assembling a separate agent platform.

Earn trust

Return cited answers, keep personal connections owner-only, and pause before a sensitive tool action executes.

Show the evidence

Enforce tenant boundaries and export a tamper-evident record of identity, policy, model, billing, and agent activity.

Go deeper by control boundary.

01StartGatewaySend compatible model traffic with the caller's organization and identity.02ControlGovernanceApply roles, model and resource grants, guardrails, credits, and approval boundaries.03BuildKnowledgeIngest authorized sources and return screened, cited answers with projects and memory.04AutomateAgentsRun durable work with live tool policy, bounded outcomes, and human approval.05OperateEvidenceVerify readiness, correlation, metering, audit integrity, delivery, and recovery.

Choose your responsibility.

A partner productDefine the boundary between the product, Deeplinq, identity provider, and deployment owner.An application integrationTake authentication, failures, observability, and handoff through production readiness.A platform deploymentVerify identity, storage, models, security, recovery, release, and rollback.A specific API contractFind the registered operation, authority class, compatibility schema, and source.

Proof, not promises.

The current documentation maps 146 shipped capability records, 227 registered HTTP operations, and 99 runtime settings to task guides, reference, implementation source, and executable proof. Roadmap work is not presented as available behavior.

Review every shipped capability · Browse the complete API surface · Configure every runtime setting