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ccglass
Inspect what AI coding agents send to LLMs
ccglass is a local traffic inspector for AI coding agents. It shows the exact prompts, tool schemas, message history, token usage, cache hits, costs, and streamed responses sent by Claude Code, Codex, OpenCode, DeepSeek-TUI, Kimi, and more.
Hey Product Hunt,
I built ccglass because I wanted a simple way to see what AI coding agents are actually sending to the model.
When using Claude Code, Codex, OpenCode, DeepSeek-TUI, Kimi, or other coding agents, a lot happens behind the scenes: system prompts, tool schemas, message
history, tool calls, streamed responses, token usage, cache hits, and cost. Normal HTTP proxy tools often miss this traffic because these clients do not
always respect HTTP_PROXY/HTTPS_PROXY, and TLS interception can be painful.
ccglass is a lightweight local reverse proxy plus dashboard. Run one command, choose the agent you want to inspect, and it opens a local dashboard showing
every request in real time.
A few things it can show:
- Full system prompts and message history
- Tool schemas, tool calls, and tool results
- Token usage, cache hit rate, latency, and estimated cost
- Reassembled streamed responses
- Turn-to-turn diffs
- Export to raw HTTP, Markdown, JSON, or HAR
It is open source, runs locally, and is designed for people building with AI coding agents who want more visibility into what is really happening.
I would love feedback from developers using Claude Code, Codex, OpenCode, or similar tools. What should ccglass inspect next?
About ccglass on Product Hunt
“Inspect what AI coding agents send to LLMs”
ccglass was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #142 on the daily leaderboard. ccglass is a local traffic inspector for AI coding agents. It shows the exact prompts, tool schemas, message history, token usage, cache hits, costs, and streamed responses sent by Claude Code, Codex, OpenCode, DeepSeek-TUI, Kimi, and more.
On the analytics side, ccglass competes within Productivity, Open Source, Artificial Intelligence, GitHub and Vercel Day — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how ccglass performed against the three products that launched closest to it on the same day.
Who hunted ccglass?
ccglass was hunted by 侯垒. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ccglass including community comment highlights and product details, visit the product overview.
侯垒