@copilotkit/aimock
Eliminates dependency on live AI API costs and rate limits during development and testing, reducing integration risks and enabling faster iteration cycles wi…
Mock infrastructure for AI application testing — LLM APIs, image generation, image editing, text-to-speech, transcription, audio translation, audio generation, video generation, embeddings, MCP tools, A2A agents, AG-UI event streams, vector databases, sea
- Test AI features without spending money on real API calls during development
- Simulate vector database responses to verify retrieval-augmented generation workflows
- Mock image generation endpoints to validate AI image pipeline integration points
Eliminates dependency on live AI API costs and rate limits during development and testing, reducing integration risks and enabling faster iteration cycles without vendor API overhead.
Development teams building AI-powered applications who need isolated, repeatable test environments before production deployment.
https://www.npmjs.com/package/@copilotkit/aimock
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How to Get It
npx @copilotkit/aimock
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me test AI features without spending money on real API calls during development
Trust Signals Auto-scanned
Community Pulse New
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Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 654 GitHub stars; 20 contributors; last commit 1d ago; license MIT.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 654 GitHub stars; 20 contributors; last commit 1d ago; license MIT.