codex_dispatch_failed: codex_exit_1 looks small when it is reduced to a queue event. It is not small when it fires on every revenue worker job. At that point the system is not experiencing an ordinary agent failure. It has lost a whole execution lane. Every queued task that depends on Codex subagents becomes a decorative row in a database: claimed, retried, failed, summarized, and then recycled into the same wall.
The cost compounds in three ways. First, useful work stops while the scheduler remains busy, so dashboards show motion without delivery. Second, retry loops burn the scarce resource that matters during a sprint: clean attention. Each new failure adds logs, incidents, and misleading symptoms that have to be separated from the root cause. Third, revenue work loses freshness. A lead review, pricing check, listing fix, payment-flow audit, or customer-facing patch has value because it lands before the window closes. A five-hour delay is not merely five hours; it can turn a high-leverage task into stale archaeology.
The wrong response is to ask whether Codex CLI is broken in the abstract. The right response is to make the failure deterministic. Is the binary missing? Is it present but not executable? Is the subprocess launched from the wrong working directory? Is auth missing inside the worker environment while it works in an interactive shell? Is a policy gate blocking subagents? Is the prompt payload malformed? Is the queue wrapper collapsing several distinct failures into the same exit_1 bucket? Until those questions are answered with artifacts, codex_exit_1 is not a diagnosis. It is a lossy error label.
A durable fix treats the incident as a boundary problem. The dispatch boundary is where task intent becomes a process invocation. That is where the system must capture command, environment, working directory, prompt size, selected model, timeout, stderr tail, stdout tail, exit status, and retry decision. If that boundary stays opaque, every revenue worker becomes a black box. If that boundary is instrumented, the same failure becomes a small classification problem.
The first move is not a broad refactor. The first move is a matrix. Create a minimal canary that exercises the exact dispatch path used by revenue workers, then vary only one dimension at a time. The dimensions are simple: worker type, working directory, environment source, prompt payload, model route, and execution user. The canary must not call a separate helper that bypasses the production dispatcher. It must enter through the same function that revenue jobs use, or the result is comforting noise.
The canary payload should be boring: Return the string ok and exit zero. If that fails, the issue is below business logic. If the canary passes while revenue jobs fail, the issue is above the runner, usually prompt contract, payload serialization, repo state, or task-specific policy. If the canary passes in a shell but fails in the worker, the issue is environment inheritance, permissions, path resolution, keychain access, sandboxing, or daemon launch context.
The matrix should produce rows with fields like dispatch_id, worker_kind, queue_id, cwd, argv, codex_path, env_fingerprint, prompt_bytes, exit_code, signal, duration_ms, stderr_tail, and classifier. The env_fingerprint should not dump secrets. It should include presence booleans and safe hashes for values that determine execution: PATH, HOME, SHELL, USER, TMPDIR, auth token presence, config file presence, and any feature flags controlling subagent dispatch.
This step turns a vague outage into one of three shapes. A universal failure means every Codex dispatch fails, including the minimal canary. A lane-specific failure means normal local tasks pass but revenue workers fail. A payload-specific failure means only certain task classes or prompt shapes fail. Each shape implies a different fix. Universal failures need runner preflight and environment repair. Lane-specific failures need parity checks between interactive and worker contexts. Payload-specific failures need contract validation before the subprocess is spawned.
Most teams patch the worker first because the worker is where the failure is visible. That is backwards. A worker that receives codex_dispatch_failed does not know enough. The dispatcher knows the command it tried to execute. The process wrapper knows the actual exit code. The environment builder knows what it stripped. The queue knows how many retries remain. The summary layer knows what got hidden. The fix belongs at the boundary where those facts can be joined.
The runner should emit a structured event before launch and after exit. Before launch, record runner_prepare with a stable dispatch id, resolved executable path, argument vector, working directory existence, repository root, prompt byte count, timeout, and selected route. After exit, record runner_exit with status, signal, elapsed time, stdout byte count, stderr byte count, short tails, and artifact paths. A third event, runner_classified_failure, should assign the first useful label instead of forwarding raw exit_1.
The classifier does not need machine learning. It needs ordered rules. If executable lookup fails, classify codex_missing. If the path exists but cannot execute, classify codex_not_executable. If the working directory is absent, classify cwd_missing. If stderr mentions authentication, classify auth_unavailable. If stderr mentions a denied filesystem path or policy, classify sandbox_or_policy_block. If the process times out, classify timeout. If the prompt contract validator rejects the payload before launch, classify payload_invalid. If none match, keep unknown_exit_1 and preserve enough evidence to improve the classifier.
That last bucket matters. A good forensics layer does not pretend every failure is known. It makes unknowns smaller over time. The system should be allowed to say unknown_exit_1, but it should never say it without the exact dispatch context that would let the next run promote it to a better class.
The sentence “Codex CLI is broken” hides at least three independent surfaces. The first is executable existence: can the worker resolve and run codex or the configured binary path? The second is readiness: can that process authenticate, find its config, write temporary files, read the repository, and produce output? The third is policy: is this job allowed to spawn the subagent route it selected?
Those surfaces need distinct probes. Existence is checked with command -v codex or equivalent path resolution inside the worker process, not in a login shell. Readiness is checked with a harmless command such as codex --version plus a minimal non-destructive prompt through the same invocation mode the dispatcher uses. Policy is checked by asking the route planner whether the job kind may use Codex, which models are allowed, whether subagents are enabled, and whether the job is blocked by safety gates or concurrency ceilings.
The common bug is that an interactive terminal has a healthy PATH and valid config, while the daemonized worker has a thin launch environment. On macOS this often shows up as a binary that exists for a user shell but disappears for a background process. Another common bug is auth that lives in an interactive profile while the worker runs with a different HOME or cannot read the expected config directory. A third bug is policy drift: the queue records that a revenue job should use Codex, while the claim-time router or worker sandbox rejects that route after the job is already claimed.
The fix is not to smear more retries over the queue. Add a preflight gate with three explicit booleans: cli_resolves, cli_ready, and route_allowed. If cli_resolves is false, fail fast with installation or path guidance. If cli_ready is false, fail with auth or config guidance. If route_allowed is false, do not claim the job for that worker. A revenue lane should never discover after claim that its basic execution route is impossible.
A retry is useful when it changes the odds. Retrying timeout with a larger limit can be rational. Retrying a transient network error after a short backoff can be rational. Retrying codex_missing ten times is theater. Retrying auth_unavailable without changing auth state is theater. Retrying route_not_allowed after the same worker claims the same job again is a small denial-of-service attack against the queue.
Revenue worker retries should be keyed by classifier, not by generic failure. The retry table can be blunt. codex_missing, codex_not_executable, cwd_missing, payload_invalid, and route_not_allowed are deterministic hard stops. They should fail once, emit an actionable incident, and keep the job out of the same lane until the preflight changes. timeout, rate_limited, and transient_io may retry with backoff and a cap. unknown_exit_1 may retry once only if the second attempt captures expanded diagnostics.
The queue also needs duplicate suppression. If five revenue jobs fail with the same failure_fingerprint, the system should open one incident and attach the other four as affected work, not create five separate mysteries. A fingerprint can include classifier, executable path, working directory root, route, and normalized stderr signature. The goal is to stop converting one infrastructure failure into a pile of fake business failures.
Evidence-aware retrying improves prioritization. A dispatch outage should outrank content polish because it blocks a class of future work. A single malformed payload should return to the producer contract, not page the whole runtime. A route policy mismatch should go to the router and claim logic. The system becomes faster because the failure carries its repair address.
A clean fix fits into a five-day sprint because the work is narrow and sequential. Day one is reproduction and matrix capture. Build the minimal canary, run it through the production dispatcher, record the universal versus lane-specific versus payload-specific result, and preserve artifacts. The deliverable is not a theory. It is a table of dispatch attempts with enough fields to identify where execution diverges.
Day two is runner instrumentation. Add runner_prepare, runner_exit, and runner_classified_failure events. Ensure stderr and stdout tails are bounded, secret-safe, and linked to artifact files. Add the initial ordered classifier rules. Update worker summaries so they surface the classifier and repair hint instead of flattening everything into codex_exit_1.
Day three is preflight. Implement cli_resolves, cli_ready, and route_allowed checks in the same environment that will run the job. Cache results for a short interval so every job does not pay the full probe cost, but invalidate on config changes. Wire hard-stop failures so impossible jobs are not claimed by workers that cannot run them.
Day four is retry policy and duplicate suppression. Replace generic retry loops with classifier-aware decisions. Add failure_fingerprint. Collapse repeat incidents. Make the queue explain why a job will retry, park, reroute, or fail fast. This is where the system stops burning cycles on deterministic failures.
Day five is regression coverage and operational documentation. Add tests for missing executable, bad permissions, missing working directory, auth unavailable, policy block, invalid payload, timeout, and unknown exit. Add a runbook that starts with the matrix and ends with the classifier. The sprint is complete only when the next codex_exit_1 produces a specific repair path within one run.
The objective is not to make Codex never fail. That is an unserious target. The objective is to make Codex dispatch failures narrow, named, and recoverable. A broken binary should not masquerade as a bad revenue task. An auth problem should not look like a model problem. A route policy block should not be retried as if it were a network hiccup. A malformed prompt should be rejected before a subprocess is spawned.
When the boundary is instrumented, the revenue lane becomes inspectable. Operators can see whether Codex is installed where the worker can reach it, whether the worker environment is ready, whether policy allows the route, whether the payload is valid, and whether the retry decision is rational. That changes the incident from “all subagents are failing” to “the worker launch context cannot resolve the configured Codex binary” or “the revenue route is claiming jobs that claim-time policy later rejects.” Those are fixable sentences.
The deeper lesson is that autonomous systems do not get reliable by becoming optimistic. They get reliable by refusing to hide their own edges. codex_dispatch_failed is a useful alarm only after it is connected to the exact boundary condition that produced it. Until then it is a bucket for lost information.
The sprint to run is Agent Failure Forensics. It packages the work that matters: deterministic reproduction, runner-boundary evidence, failure classification, preflight gates, retry discipline, and regression coverage. That is the path from a five-day revenue freeze risk to a dispatch layer that tells the truth fast enough to keep shipping.
Five business days, fixed price, full runbook on delivery. Sample deliverables on the sprint page show exactly what you get before you commit.
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