ThinkWatch
Centralizes control over AI API access across multiple vendors, enforcing security policies, usage limits, and audit trails—critical for enterprises managing…
Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.
- Route all AI API requests through a single compliance gateway with audit logs
- Enforce per-team or per-user rate limits and spending caps across vendors
- Audit which users accessed which models and for what purpose
Centralizes control over AI API access across multiple vendors, enforcing security policies, usage limits, and audit trails—critical for enterprises managing LLM spend and compliance risk at scale.
Organizations running multiple LLM integrations (OpenAI, Anthropic, Gemini, self-hosted) that need unified governance, cost visibility, and role-based access controls.
https://github.com/ThinkWatchProject/ThinkWatch
By ThinkWatchProject
How to Get It
Self-hosted service — clone the repo and start it: make infra && make dev-secrets && make dev-backend (dev), or deploy with Docker Compose / Kubernetes per https://thinkwat.ch/docs/deployment-guide
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me route all AI API requests through a single compliance gateway with audit logs
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Pushing the Frontiers of AI: Project Debater (video) — Hacker News · 2 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 814 GitHub stars; 2 contributors; last commit 17d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 814 GitHub stars; 2 contributors; last commit 17d ago; license no license.