VS Code workflows
Copilot-style extensions, coding assistants, and custom provider settings.
Configure an OpenAI-compatible provider and set the Keyvera base URL.
OPENAI-COMPATIBLE INTEGRATIONS
Your tool.
Your workflow.
Use Keyvera with any editor, agent, SDK, framework, or internal tool that accepts an OpenAI-compatible API base URL and API key. Change the connection—not how you work.
base_url = "https://api.keyvera.cloud/v1"
api_key = "sk-keyvera-..."
model = "claude-sonnet-5"VS CODEOPENCLAWHERMESPYTHON SDKJAVASCRIPT SDKAGENT FRAMEWORKSREST CLIENTSEDGE RUNTIMESVS CODEOPENCLAWHERMESPYTHON SDKJAVASCRIPT SDKAGENT FRAMEWORKSREST CLIENTSEDGE RUNTIMES
01 / COMPATIBILITY DIRECTORYUse the interface
Use the interface
you already know.
There is no special wrapper to install. If the tool can send OpenAI-compatible requests to a custom base URL, it can connect to Keyvera.
OpenClaw
Keep your existing agent configuration and choose Keyvera as its OpenAI-compatible provider.
Use your Keyvera key and select the model ID for each task.
Hermes
Route compatible chat and agent requests without changing the workflow that surrounds them.
Set the API base URL and replace the provider key.
SDKs & frameworks
Official OpenAI SDKs, agent frameworks, Node services, edge functions, and custom apps.
Override the base URL in your existing client configuration.
02 / THREE SETTINGSConnect in the
Connect in the
configuration screen.
Every compatible tool has different labels, but the values are the same.
- 01Find provider settingsLook for OpenAI, custom provider, API base URL, or endpoint settings.
- 02Set the base URL
https://api.keyvera.cloud/v1 - 03Add your Keyvera keyUse a Keyvera API key, then select a model ID from Model Plaza.
03 / NO REBUILD REQUIREDCompatible by
Compatible by
design.
Keep your prompts, tools, extensions, application logic, and agent workflow. Keyvera only becomes the model connection behind it.
INTEGRATION DETAILS
What “OpenAI-compatible integration” means for Keyvera.
Keyvera integration is possible with any tool that lets you configure an API base URL and API key. That includes editors, local agent tools, internal dashboards, backend services, scripts, and custom applications that already speak the OpenAI chat-completions request shape.
Editors and agent tools
VS Code workflows, OpenClaw, Hermes, and similar AI workspaces usually separate the model provider from the workflow around it. When a tool supports a custom OpenAI-compatible provider, Keyvera can become that provider connection.
The practical setup is simple: keep the tool, keep its prompts and extensions, then replace the base URL and provider credential with Keyvera values.
SDKs and server frameworks
The same approach works in application code. Python services, JavaScript or TypeScript backends, edge functions, server-rendered applications, and worker runtimes can point an existing OpenAI client at the Keyvera endpoint.
This reduces migration cost because the application does not need provider-specific request builders for every model family.
Custom HTTP clients
If a system does not use an SDK, it can still call Keyvera over HTTPS. Send the request to the OpenAI-compatible path, include the Keyvera API key, specify the model route, and parse the response using the same structure your app already expects.
Teams can use curl, REST clients, Go, Rust, PHP, Java, or internal developer tooling as long as they can set headers and JSON payloads.
Implementation checklist
Before production use, confirm authentication, model ID selection, streaming behavior, timeout handling, retry policy, request logging, and token-cost tracking. The Model Plaza provides route IDs and exact token prices.
For data-handling boundaries, review Security; for cost planning, review Pricing; for general platform context, review Features.
ONE BASE URL / EVERY MODEL
Keep building.
Route smarter.
Bring the tool. Keyvera supplies the model connection.
Create your API key ↗