Drop-in client wrapping
Wrap supported provider clients in one line so your app can keep using the SDK it already knows, while Bursora handles spend checks in front of the request.
Bursora
Bursora is an AI spend management tool that enforces budgets before provider calls are sent, helping teams control tenant, agent, workflow, and workspace costs. It supports cloud and self-hosted deployment options and works with common AI provider SDKs.
AI spend controls for provider API calls
Bursora is an AI spend management tool that checks usage before a request is sent to the model provider. It is built to stop runaway agent loops, abusive tenants, and misconfigured workflows from creating surprise bills after the fact.
The product wraps existing provider clients with a small SDK layer, then uses tenant, agent, workflow, or workspace tags to decide whether a call should be allowed, throttled, or blocked. The homepage emphasizes that traffic stays direct to the provider instead of being routed through a proxy, and the docs describe both cloud and self-hosted options.
Core capabilities
Scoped budget enforcement
Apply caps by workspace, tenant, agent, or workflow, with monthly resets and configurable limits for each scope.
Pre-call decisioning
Choose the response when a cap is reached: notify, throttle, or block. The source also describes the behavior as pre-call enforcement rather than after-the-fact reporting.
No proxy routing
Keep provider traffic direct instead of rerouting it through a proxy or gateway. The homepage explicitly says Bursora does not sit in the traffic path.
Live spend visibility
View spend grouped by tenant, agent, workflow, and model, plus alerts, top spenders, and projected month-end burn in the dashboard.
Self-hosted deployment
Run the community edition on your own infrastructure with Docker Compose, Postgres, Redis, ClickHouse, and a public hostname.
Practical ways to use Bursora
Per-customer budget control
Set a monthly cap per customer so one free-tier or high-usage account cannot consume more model spend than it should.
Agent budget guardrails
Assign an agent-level budget to catch runaway loops or prompt mistakes in production workflows before they create a large invoice.
Workflow-level limits
Apply a workflow cap to specific automated flows such as onboarding, content generation, or tool-calling pipelines, then notify, throttle, or block when costs rise.
Self-hosted deployment
Use the self-hosted community edition when you want direct control over the app, data stores, and deployment environment instead of the managed cloud offering.
Drop-in SDK protection
Wrap existing provider clients in an application that already uses OpenAI, Anthropic, Google, or AI SDK patterns, without rewriting the whole integration.
Pros and Cons
Pros
- Enforces budgets before the provider call leaves your server, rather than only reporting spend later.
- Supports multiple budget scopes, including workspace, tenant, agent, and workflow.
- Works without proxying traffic through Bursora's servers, so provider requests remain direct.
- Offers both cloud and community edition deployment paths.
- Covers several common AI providers and SDK styles, including OpenAI, Anthropic, Google Gemini, DeepSeek, and the Vercel AI SDK.
Cons
- The source does not document exact cloud pricing beyond a $29/mo teaser on the homepage, so plan details remain limited.
- Some documentation areas are incomplete on the public pages, including finer points of budget behavior, supported languages, and integration setup examples beyond the main SDK wrappers.
- Self-hosting requires several services and operational pieces, including Postgres, Redis, ClickHouse, TLS termination, and a public hostname.
FAQ
How does Bursora enforce budgets?
Bursora is designed to wrap supported AI clients and check spend before a request is sent to the provider. The source shows it can allow, throttle, or block a call when a budget threshold is reached.
Which providers and SDKs does it support?
The docs say Bursora supports OpenAI, Anthropic, Google Gemini, DeepSeek, Groq, xAI, Mistral, Amazon Bedrock, and the Vercel AI SDK. The homepage examples show wrappers for OpenAI, Anthropic, Google, and the Vercel AI SDK.
Can Bursora be self-hosted?
Yes. The self-host docs describe a community edition under Apache 2.0 with no license server and no phone home. It runs with Docker Compose and requires Postgres, Redis, and ClickHouse.
What kinds of budgets can I set?
The source says budgets can be scoped by workspace, tenant, agent, or workflow, and can be set to notify, throttle, or hard block when the limit is reached.
What happens when a budget is hit?
The homepage describes Bursora as fail-open. Its purpose is to stop over-budget calls before they leave your server while keeping traffic directed to the provider rather than through a proxy.
Quick Facts
- Category
- Developer Tool
- Primary function
- Pre-call AI spend control and budget enforcement
- Deployment
- Cloud and self-hosted community edition
- License
- Apache 2.0 for the community edition
- Integrations
- OpenAI, Anthropic, Google Gemini, DeepSeek, Groq, xAI, Mistral, Amazon Bedrock, Vercel AI SDK
- Website
- bursora.com
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