AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證A transcript pastebin for agentic sessions.
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
A transcript pastebin for agentic sessions.
Upload a session file, get a shareable URL, and anyone with the link can view the server-rendered transcript.
Anonymous upload, delete-by-token.
No accounts, no dashboards.
Currently supported: Claude Code, Codex, OpenCode, and Pi. Future transcript support for: Gemini CLI.
1. Upload a raw session file (via web UI or API).
2. The server redacts secrets, parses the session, renders it to HTML, and stores it.
3. You get a share URL and a delete token.
4. Anyone with the URL sees the rendered transcript. Only you (with the token) can delete it.檢視完整 README ↗A transcript pastebin for agentic sessions.
Upload a session file, get a shareable URL, and anyone with the link can view the server-rendered transcript. Anonymous upload, delete-by-token. No accounts, no dashboards.
Currently supported: Claude Code, Codex, OpenCode, and Pi. Future transcript support for: Gemini CLI.
The companion CLI lives in cli/ in this repo and is published to PyPI as
sessionbin.
Everything needed to run and exercise the project lives in a container: the backend, the
CLI, gitleaks, and all supported agent harnesses so you can produce real sessions.
podman build -t sessionbin-dev -f dev/Containerfile dev/
podman run --rm -it -p 8000:8000 -v "$PWD":/repo:Z \
-v sessionbin-uv-cache:/root/.cache/uv \
--name sessionbin-dev sessionbin-dev
The site is then at http://127.0.0.1:8000. The container syncs dependencies, installs
the CLI from cli/, applies migrations, and runs the dev server against your mounted
checkout, so edits reload live. The database and stored pastes go to /state in the
container.
To produce a real session and upload it, exec into the running container:
podman exec -it sessionbin-dev bash
cd /work && mkdir -p demo && cd demo # any scratch directory
export ANTHROPIC_API_KEY=... # or pass --env-file to podman run
export OPENAI_API_KEY=... # for Codex and Pi
claude -p "..." --model claude-haiku-4-5 # Claude Code
codex exec --skip-git-repo-check "..." # Codex
opencode run -m anthropic/claude-haiku-4-5 "..." # OpenCode
pi --provider openai --model gpt-5-mini -p "..." # Pi
sessionbin upload --latest -y --server http://127.0.0.1:8000
Run the checks with tox run (inside the container or on the host).
Adding support for a new harness? Install it in dev/Containerfile as well, or the
dev container can no longer produce a real session to test the new adapter against.
Running the backend outside a container needs Python 3.14 and gitleaks on PATH — the
settings module raises at import without it.