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Platform / Inference

Two ways to run inference,
one unified API standard

Flexibly choose the Platform Models that OneNexus manages, or take control and deploy your own Self-hosted Models on infrastructure dedicated to your organisation.

01 — Platform models

Call a Platform model

The shared catalog speaks the OpenAI API, so your client and your code stay as they are. Only three things change: the base URL, a Platform API key, and the model value.

python

import os

from openai import OpenAI

client = OpenAI(
    base_url=os.environ["ONX_BASE_URL"],
    api_key=os.environ["ONX_API_KEY"],
)

resp = client.chat.completions.create(
    model="glm-5.3",
    messages=[{"role": "user", "content": "Refactor this module"}],
)

print(resp.choices[0].message.content)

curl

curl $ONX_BASE_URL/chat/completions \
  -H "Authorization: Bearer $ONX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# Base URL and API keys both come from the console

ONX_BASE_URL → https://catalog.onenexus-do.cloud/v1

Follow the Platform model quickstart.

02 — Models

Hosted models today

GLM-5.3

Available in pilot

Long-horizon work, extensive reasoning, and agentic projects. Can be effectively used with smaller model subagents for project-scale workloads.

Context window

256K as configured

Limits and capacity are confirmed during onboarding.

API format

OpenAI

compatible endpoints

GLM-5.3-Vision

Available in pilot

Everyday work with native vision: takes text, images, video, and files as input.

Context window

256K as configured

Limits and capacity are confirmed during onboarding.

API format

OpenAI

compatible endpoints

DeepSeek-V4.1-Vision

Available in pilot

Agentic work with native vision: takes text and images as input.

Context window

256K as configured

Limits and capacity are confirmed during onboarding.

API format

OpenAI

compatible endpoints

Every hosted model supports Tool callingStreamingJSON Schema output

Which model for which work

Department / Capability GLM-5.3GLM-5.3-VisionDeepSeek-V4.1-Vision
Input capabilities Text onlyText, images, video, and filesText and images
Engineering / IT Complex debugging, architecture, large refactorsEveryday coding, tests, UI development from screenshotsAgentic coding loops, code review, fixes from error screenshots
Cybersecurity Deep vulnerability analysis and remediationAlert triage, evidence summaries, incident reportsVulnerability triage, suspicious screenshot and log review
Data / Analytics Complex analysis, pipeline debuggingRoutine SQL, data cleanup, chart and dashboard interpretationData extraction and classification, chart reading
Finance Complex modeling, reconciliation investigationsSpreadsheet reports, financial charts, scanned documentsReceipt and invoice image extraction, expense checks
Operations / Procurement Process design, complicated exceptionsInvoice extraction, supplier comparisons, SOPsIntake triage in automated workflows, form and label reading
Sales / Customer Success Complex RFPs and technical proposalsAccount briefs, follow-ups, CRM updates, customer slidesLead qualification from supplied data, personalized outreach drafts
Marketing Research synthesis, complex campaign analysisContent variants, presentations, visual and video analysisCopy variants, image tagging, creative review
HR Policy comparisons, complex workflow designEmployee FAQs, onboarding materials, training decksPolicy Q&A assistants, form image review
Customer Support Difficult technical escalationsTicket routing, reply drafts, customer screenshot analysisHigh-volume ticket triage, screenshot troubleshooting
Leadership / Product Trade-off analysis, technical feasibilityMeeting summaries, project updates, dashboard interpretationResearch digests, feedback clustering, UI screenshot review

Model availability, context limits, and capacity are confirmed during pilot setup.

03 — Choose how to deploy

Use ready-made models right away, or take charge of your own

Available in pilot

Platform Models

A shared catalog of models that OneNexus manages and runs for you.

  • Uses no GPU quota of your own
  • Integrate in minutes: change only the base URL, API key and model name
  • Clear visibility: track requests and tokens per model in detail, right in the Console
Available in pilot

Self-hosted Models

Your organisation’s specialised models, served from a dedicated endpoint.

  • Absolute security: train on OneNexus Training and deploy directly — your data never leaves the platform
  • Flexible weight sources: use an open-weight model or an internal checkpoint
  • Standard connection: an endpoint fully compatible with the OpenAI API
  • Resources: requires GPU quota for inference workloads

04 — Operating controls

Every model call stays under your control

Manage performance, cost and access end to end, for every AI workload.

Workload configuration

Grant access, set quotas and security boundaries for each user before the service is switched on.

Quota & cost management

Automatically enforce usage limits per department, project and API key to keep budgets on track.

Usage monitoring

Monitor request and token consumption for each model in real time, right in the Console.

Explicit routing

100% of requests are served by exactly the model you specify — no silent swaps or rerouting.

Start easily with the path that fits you best

Use the Platform Model catalog right away with a single API key, or run Self-hosted Models yourself on GPU resources dedicated to your organisation.