# Otari Gateway Tames OpenCode Costs

_Otari Gateway integrates with OpenCode to provide real-time cost tracking and budget controls for AI coding sessions, requiring no code changes._

**Updated:** 2026-08-22
**Published:** 2026-06-08
**Source:** https://www.startuphub.ai/ai-news/technology/2026/otari-gateway-tames-opencode-costs

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AI coding can feel like a black box, leaving developers in the dark about session costs and resource consumption. The new [Otari Gateway OpenCode](https://blog.mozilla.ai/use-the-otari-gateway-with-opencode/) integration aims to change that by providing granular visibility and control over AI development workflows.

AI Coding Cost Black BoxDriver

From the articleAI coding can feel like a black box, leaving developers in the dark about session costs and resource consumption.Otari GatewayCoremiddleware between OpenCode and AI model providersFrom the article 9+ mentionsThe new Otari Gateway OpenCode integration aims to change that by providing granular visibility and control over AI development workflows.Integrates with OpenCodeContextno code changes required for AI development workflowsFrom the article 5 mentionsOtari acts as a middleware, sitting between OpenCode and the underlying AI model provider.Tames OpenCode CostsOutcomestreamlines AI development and controls expensesenablesReal-time Cost TrackingEffectgranular visibility into per-session cost trackingFrom the articleThis allows for per-session cost tracking, budget enforcement, and detailed usage breakdowns without any application code modifications.Budget ControlsEffectenforces budgets for AI coding sessionsFrom the article 3 mentionsIt's part of a broader trend towards developers wanting more ownership and control over their AI stacks, as highlighted in pieces like Otari: Own Your AI Stack.Detailed Usage BreakdownsEffectlogs token counts, model names, and timestampsFrom the articleThis allows for per-session cost tracking, budget enforcement, and detailed usage breakdowns without any application code modifications.
Running models like Kimi K2.6, even with its substantial 256K context window, can quickly become an expensive affair. Otari acts as a middleware, sitting between OpenCode and the underlying AI model provider. This allows for per-session cost tracking, budget enforcement, and detailed usage breakdowns without any application code modifications.

The setup involves routing OpenCode requests through the Otari API endpoint. Otari resolves credentials server-side and logs essential metadata such as token counts, model names, and timestamps, ensuring user prompts and completions remain private.

## Streamlining AI Development

Integrating Otari is a three-step process. First, users create an account and generate an API token on otari.ai. Optionally, provider API keys (for OpenAI, Anthropic, etc.) can be added to Otari's settings, allowing the gateway to make calls on the user's behalf.

The second step involves configuring OpenCode's `opencode.jsonc` file to point to the Otari gateway. This includes setting the `baseURL` to Otari's API endpoint and providing the generated API key. Environment variables are recommended for securely managing API keys.

Finally, users select the Otari-configured model within OpenCode to initiate coding sessions. Every interaction then flows through the Otari Gateway, providing immediate insights into usage and costs directly on the Otari dashboard.

This solution offers a crucial layer of financial and operational transparency for AI development, making it easier to manage expensive inference costs. It's part of a broader trend towards developers wanting more ownership and control over their AI stacks, as highlighted in pieces like [Otari: Own Your AI Stack](/ai-news/technology/2026/otari-own-your-ai-stack).

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Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.