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ProjectBlock
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About ProjectBlock
ProjectBlock provides per-user cost control and audit logging for applications using large language models. It enforces budget caps before LLM calls are executed, preventing overages rather than billing surprises. The tool tracks token usage, request counts, and costs per user with atomic counters and maintains an append-only audit log of every AI interaction. A compliance module generates EU AI Act audit reports automatically, addressing GDPR retention requirements. Budget alerts can be configured at 80%, 95%, and 100% thresholds via HMAC-signed webhooks. An embeddable widget displays usage data within applications, and a Python SDK integrates with existing workflows in three lines of code. The system supports LangChain callback handlers and offers tiered pricing based on event volume.
Key features
- Per-user budget gating with pre-call enforcement
- Token, request, and cost tracking with atomic counters
- Append-only audit logging with input/output hashes
- EU AI Act compliance report generation
- HMAC-signed budget alert webhooks at configurable thresholds
- Embeddable usage widget for in-app display
- LangChain callback handler support
- Three-line Python integration
Use cases
- Preventing unexpected LLM usage costs in multi-tenant applications
- Generating compliance documentation for AI Act regulations
- Providing users with transparent usage tracking in SaaS platforms
Pros
- Enforces per-user budget caps before LLM calls are made
- Provides append-only audit logs with input/output hashes and cost tracking
- Includes EU AI Act compliance report generation
- Offers HMAC-signed webhooks for budget alerts
- Provides embeddable usage dashboard for end users
Cons
- Python-only SDK
- Requires API key for access
- No explicit support for non-Python environments
- Early access program may limit immediate availability
Frequently asked questions about ProjectBlock
What does ProjectBlock do?
ProjectBlock provides per-user cost control and audit logging for applications using large language models. It enforces budget caps before LLM calls are executed, preventing overages, and maintains an append-only audit log of every AI interaction.
Who is ProjectBlock designed for?
ProjectBlock is designed for developers and teams building applications that integrate large language models and need granular cost control, compliance reporting, and audit trails for their AI usage.
How does ProjectBlock integrate with existing workflows?
ProjectBlock offers a Python SDK that integrates with existing workflows in three lines of code. It includes a LangChain callback handler, making it easy to add to current setups without significant changes.
Does ProjectBlock support compliance reporting?
Yes, ProjectBlock includes a compliance module that generates EU AI Act audit reports automatically, addressing GDPR retention requirements. These reports can be exported via a single API call.
What kind of budget alerts does ProjectBlock provide?
ProjectBlock sends HMAC-signed webhooks at 80%, 95%, and 100% of a user's budget threshold. These alerts can be configured to notify systems like Slack or custom backends.
How do I get started with ProjectBlock?
To get started, install the ProjectBlock SDK using pip, then use the gate function to check budgets before LLM calls and the record function to meter usage and log events. Documentation and API keys are available on the project's website.
