ContextIQ by Trango Compute helps AI engineers “engineer your AI’s context — visually.” Instead of trying to explain context design through dense prose or code, ContextIQ turns key decisions into clear diagrams and practical inspections. It’s a suite of free tools for reasoning about how LLMs and agents understand, retrieve, remember, and allocate tokens at scale.
Start with the RAG Chunk Inspector to see exactly how documents split into chunks and compare tokenization and context strategies in a live preview. Then explore the Agent Workflow Visualizer to instantly render agent graphs from GitHub URLs across popular frameworks. If you debug traces, the Agent Trace Inspector brings OTLP trace data into a full graph view with per-node token attribution.
Memory and token clarity
Use the Memory Architecture Visualizer to map episodic, semantic, and procedural memory as a DAG with token budgets. The Token Inspector helps you compare token counts and costs across major models, so you can plan without surprises.
Build with confidence
ContextIQ also includes a HyDE Visualizer for retrieval comparisons and an OIDC Inspector for scanning authentication configs. Create diagrams, share exports, and move faster—without credit cards or hidden limits.
Source: https://contextiq.trango-compute.com/
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