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cacli

coding agent CLI

Recovering Changes From Transcripts

cacli apply-transcript <transcript.jsonl> can recover reconstructable file edits from Claude Code or Codex JSON/JSONL transcripts.

Examples:

# Produce a reviewable patch without touching the working tree
cacli apply-transcript session.jsonl --mode generate-patch

# Apply the auto-applicable prefix directly to the current tree
cacli apply-transcript session.jsonl --mode auto-apply

# Approve each recoverable edit interactively
cacli apply-transcript session.jsonl --mode interactive

Behavior:

  • The command scans the full transcript before doing anything else.
  • It reconstructs Write, Edit, MultiEdit, and apply_patch style changes.
  • It flags mutating shell commands that cannot be reconstructed, such as sed -i.
  • Automatic replay stops at the first unreconstructable mutating shell command or edit that no longer applies cleanly.
  • generate-patch writes a patch for the auto-applicable prefix without modifying the working tree.

Workflows (cacli flow)

Flows are sandboxed Python scripts that orchestrate coding-agent subprocesses across providers. The orchestration script has no direct filesystem, network, environment, or subprocess access; its side effects go through the injected workflow API, while the agents it launches run with their normal permissions.

Create review_flow.py:

META = {"name": "cross-review", "description": "cross-vendor review"}

async def main():
    phase("Review")
    reviews = await parallel([
        lambda: agent("Find correctness bugs in the current diff", provider="codex"),
        lambda: agent("Find security issues in the current diff", provider="claude"),
    ])
    log(f"Received {len([r for r in reviews if r])} reviews")
    return {"reviews": reviews}

Then run it with a dollar cap:

cacli flow run review_flow.py --budget 5.00

Useful commands:

cacli flow run flow.py [--args JSON] [--budget 10.00] [--resume RUN_ID]
cacli flow runs
cacli flow show RUN_ID
cacli flow docs | less
cacli flow install-skill

cacli flow docs prints the complete DSL reference. Claude users can install the same reference as an agent skill with cacli flow install-skill.

Headline features:

  • Cross-provider agent() calls to Claude, Codex, Devin, Cursor, Gemini, OpenCode, and Pi
  • Structured output validated against JSON Schema
  • Journal-based resume that replays unchanged calls
  • Dollar budgets with resumable budget-exceeded runs
  • Sandboxed orchestration scripts with a focused async Python DSL

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