async fn start_timer(&self, job_id: &str) {
        let job_id_for_map = job_id.to_string();
        let job_id = job_id.to_string();
        let jobs = self.jobs.clone();
        let context = self.context.clone();

        let handle = tokio::spawn(async move {
            // Look up interval before entering the loop
            let interval_secs = {
                let j = jobs.read().await;
                j.get(&job_id)
                    .map(|j| j.interval_secs)
                    .unwrap_or(3600)
            };

            let mut ticker = interval(Duration::from_secs(interval_secs));
            // Skip the immediate first tick — jobs should wait for the first interval
            ticker.tick().await;

            loop {
                ticker.tick().await;

                let job = {
                    let j = jobs.read().await;
                    match j.get(&job_id) {
                        Some(j) if !j.enabled => {
                            tracing::debug!(cron_id = %job_id, "cron job disabled, stopping timer");
                            break;
                        }
                        Some(j) => j.clone(),
                        None => {
                            tracing::debug!(cron_id = %job_id, "cron job removed, stopping timer");
                            break;
                        }
                    }
                };

                // Check active hours window
                if let Some((start, end)) = job.active_hours {
                    let current_hour = chrono::Local::now().hour() as u8;
                    let in_window = if start <= end {
                        current_hour >= start && current_hour < end
                    } else {
                        // Wraps midnight (e.g. 22:00 - 06:00)
                        current_hour >= start || current_hour < end
                    };
                    if !in_window {
                        tracing::debug!(
                            cron_id = %job_id,
                            current_hour,
                            start,
                            end,
                            "outside active hours, skipping"
                        );
                        continue;
                    }
                }

                tracing::info!(cron_id = %job_id, "cron job firing");

                match run_cron_job(&job, &context).await {
                    Ok(()) => {
                        // Reset failure count on success
                        let mut j = jobs.write().await;
                        if let Some(j) = j.get_mut(&job_id) {
                            j.consecutive_failures = 0;
                        }
                    }
                    Err(error) => {
                        tracing::error!(
                            cron_id = %job_id,
                            %error,
                            "cron job execution failed"
                        );

                        let should_disable = {
                            let mut j = jobs.write().await;
                            if let Some(j) = j.get_mut(&job_id) {
                                j.consecutive_failures += 1;
                                j.consecutive_failures >= MAX_CONSECUTIVE_FAILURES
                            } else {
                                false
                            }
                        };

                        if should_disable {
                            tracing::warn!(
                                cron_id = %job_id,
                                "circuit breaker tripped after {MAX_CONSECUTIVE_FAILURES} consecutive failures, disabling"
                            );

                            {
                                let mut j = jobs.write().await;
                                if let Some(j) = j.get_mut(&job_id) {
                                    j.enabled = false;
                                }
                            }

                            // Persist the disabled state
                            if let Err(error) = context.store.update_enabled(&job_id, false).await {
                                tracing::error!(%error, "failed to persist cron job disabled state");
                            }

                            break;
                        }
                    }
                }
            }
        });

        let mut timers = self.timers.write().await;
        timers.insert(job_id_for_map, handle);
    }


I see it now! There's a potential deadlock:

1. In `start_timer`, a task is spawned that reads `jobs` at the beginning: `let j = jobs.read().await;`
2. Then at the END of `start_timer`, we do: `let mut timers = self.timers.write().await;`

But the issue is more subtle. Let me look at the REGISTRATION FLOW again:

`register()`:
1. Acquires `jobs.write()` → inserts job → releases
2. Calls `start_timer()` which:
   a. Spawns task
   b. Awaits `timers.write()` → inserts handle → releases

When `timers.write().await` yields during step 2b, the spawned task can begin executing and tries to acquire `jobs.read().await`. Since the write lock on `jobs` was already released in step 1, there's no deadlock there. But when a second job gets registered, it attempts to acquire `jobs.write()` again while the first task still holds the read lock—that's where the contention happens.

Actually, I'm wondering if the real issue is that a previous manually-triggered `run_cron_job` invocation is still running and blocking the channel or preventing the new cron from firing properly. If an old worker is still active when a new cron job tries to execute, it might create a new task that conflicts with the existing one.

Wait, but each invocation creates its own channel with a fresh ID, so that shouldn't be the problem. Let me reconsider the `event_tx.subscribe()` call in `run_cron_job` — if that's a broadcast channel and the sender gets dropped, the subscription could fail, though that would only affect the event handling inside the job, not the timer itself.

Actually, I'm approaching this wrong. The timer tasks should be firing every 120 seconds, so two ticks should have happened between 16:04 and 16:08, but there's nothing in the logs at all. This means either the tokio timer isn't advancing, the task is blocked on `jobs.read().await` during initialization, or the task crashed before entering the loop. Let me verify the tracing configuration — if `RUST_LOG=spacebot::cron=debug` isn't formatted correctly, the logs might not show even if the cron is actually running. Though I do see the "cron job firing" log appearing somewhere, so the tracing setup seems to be working.

Wait, I'm checking the RUST_LOG filter more carefully. The setting `spacebot::cron=debug,info` should capture INFO-level logs from the cron module since the module path `spacebot::cron::scheduler` matches the prefix filter. Unless the logs are being emitted but Docker isn't capturing them somehow, which seems unlikely.

Let me step back and focus on what I know works versus what doesn't. The manual trigger fires correctly, but the auto-timer doesn't seem to be executing. I should trace through how the scheduler is being stored and accessed in the API state—specifically checking what `set_cron_schedulers` does and whether the scheduler reference is being properly maintained.

exec

grep -n "set_cron_schedulers\|cron_schedulers" /mnt/storage/spacebot/repo/src/api/state.rs 2>/dev/null | head -20


60:    pub cron_schedulers: arc_swap::ArcSwap<HashMap<String, Arc<Scheduler>>>,
185:            cron_schedulers: arc_swap::ArcSwap::from_pointee(HashMap::new()),
355:    pub fn set_cron_schedulers(&self, schedulers: HashMap<String, Arc<Scheduler>>) {
356:        self.cron_schedulers.store(Arc::new(schedulers));


The schedulers are stored in `arc_swap::ArcSwap`. This is fine - the Arc is still alive. The spawned tasks hold clones of `jobs` (an `Arc<RwLock<...>>`), which keeps the HashMap alive.

OK let me try yet another angle. What if the issue is that `tokio::time::interval` is a "miss tick burst" by default - and there might be something about how the task is being scheduled?

Actually, let me just add some additional debug logging and rebuild to understand what's happening. I'll add a tracing::info at the start of the spawned task.Actually, let me try to check if maybe the issue is that the timer task IS firing but the log is being discarded somehow.

Let me change the log level or add some other observability. Wait - actually, I'm wondering if the real problem is that `jobs.read().await` is blocking because someone else is holding a `jobs.write()` lock indefinitely. Let me trace through all the places where `jobs.write()` is acquired to see if any of them could be holding the lock too long.

In `register()` it's brief, and in the timer loop after `run_cron_job` succeeds, the write lock is acquired only to reset `consecutive_failures` - that's also quick. But I want to check something else about the `trigger` flow.

The `trigger_now` function calls `run_cron_job` directly without going through the timer, so manual triggers should work independently. But what if the timer task itself crashed or panicked? In tokio, a panicked spawned task gets caught by the JoinHandle, but since we're not awaiting it, the panic would be silently swallowed. I should add some logging at the start of the timer task to verify it's actually running, or check the Docker logs to see if there's any output from the timer at all.

Actually, instead of modifying code, I can check the Tokio task count to see if the timer tasks are even being created in the first place.

Let me add a probe right at the start of the spawned timer task to catch if it's even executing:

edit

        let handle = tokio::spawn(async move {
            // Look up interval before entering the loop
            let interval_secs = {
                let j = jobs.read().await;
                j.get(&job_id)
                    .map(|j| j.interval_secs)
                    .unwrap_or(3600)
            };

        let handle = tokio::spawn(async move {
            tracing::info!(cron_id = %job_id, "cron timer task started");
            // Look up interval before entering the loop
            let interval_secs = {
                let j = jobs.read().await;
                tracing::info!(cron_id = %job_id, interval_secs = j.get(&job_id).map(|j| j.interval_secs).unwrap_or(9999), "cron timer task read interval");
                j.get(&job_id)
                    .map(|j| j.interval_secs)
                    .unwrap_or(3600)
            };


Successfully replaced text in /mnt/storage/spacebot/repo/src/cron/scheduler.rs.

     ...
 161         let jobs = self.jobs.clone();
 162         let context = self.context.clone();
 163
 164         let handle = tokio::spawn(async move {
+165             tracing::info!(cron_id = %job_id, "cron timer task started");
 165             // Look up interval before entering the loop
 166             let interval_secs = {
 167                 let j = jobs.read().await;
+169                 tracing::info!(cron_id = %job_id, interval_secs = j.get(&job_id).map(|j| j.interval_secs).unwrap_or(9999), "cron timer task read interval");
 168                 j.get(&job_id)
 169                     .map(|j| j.interval_secs)
 170                     .unwrap_or(3600)
 171             };
     ...


Now let me rebuild inside the Docker container again. Since the cargo cache is now populated (we ran cargo build once before), this should be much faster.

Build with the probe — faster this time since deps are cached:

exec

docker run --rm \
  -v /mnt/storage/spacebot/repo:/build \
  -v /mnt/storage/spacebot/cargo-cache:/usr/local/cargo/registry \
  -w /build \
  rust:bookworm \
  bash -c "apt-get install -y -qq protobuf-compiler libprotobuf-dev cmake libssl-dev pkg-config 2>/dev/null && cargo build --release 2>&1 | grep -E 'Compiling spacebot|Finished|error'" 2>&1


Command still running (session neat-reef, pid 2819958). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


(no output recorded)

Process exited with code 100.


The build failed with exit code 100. Let me check the output.


(no output recorded)


No output recorded. Let me try the build again with more verbosity.

docker run --rm \
  -v /mnt/storage/spacebot/repo:/build \
  -v /mnt/storage/spacebot/cargo-cache:/usr/local/cargo/registry \
  -w /build \
  rust:bookworm \
  bash -c "apt-get install -y -qq protobuf-compiler libprotobuf-dev cmake libssl-dev pkg-config 2>&1 | tail -2 && cargo build --release 2>&1 | tail -10"


Command still running (session nimble-shoal, pid 2822356). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


E: Unable to locate package libprotobuf-dev
E: Unable to locate package cmake

Process still running.


The apt-get can't find packages because apt-get update wasn't run. Let me fix the command.


|             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |
    = note: this `Result` may be an `Err` variant, which should be handled
help: use `let _ = ...` to ignore the resulting value
    |
374 |             let _ = crate::agent::cortex::spawn_association_loop(deps, cortex_logger).await;
    |             +++++++

warning: `spacebot` (lib) generated 20 warnings (run `cargo fix --lib -p spacebot` to apply 15 suggestions)
    Finished `release` profile [optimized] target(s) in 2m 42s

Process exited with code 0.

E: Unable to locate package libprotobuf-dev
E: Unable to locate package cmake
    |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |
    = note: this `Result` may be an `Err` variant, which should be handled
help: use `let _ = ...` to ignore the resulting value
    |
374 |             let _ = crate::agent::cortex::spawn_association_loop(deps, cortex_logger).await;
    |             +++++++

warning: `spacebot` (lib) generated 20 warnings (run `cargo fix --lib -p spacebot` to apply 15 suggestions)
    Finished `release` profile [optimized] target(s) in 2m 42s


Build succeeded in 2m42s (much faster with the cache). Let me deploy this.

Fast build (2m42s with cache). Deploy:

exec

docker cp /mnt/storage/spacebot/repo/target/release/spacebot spacebot:/usr/local/bin/spacebot && \
docker restart spacebot && sleep 5 && \
docker logs spacebot --since 10s 2>&1 | grep -E "cron|timer|started|INFO" | head -20


spacebot
[2m2026-02-20T16:16:07.459212Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m starting spacebot
[2m2026-02-20T16:16:07.459239Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m configuration loaded [3minstance_dir[0m[2m=[0m/data
[2m2026-02-20T16:16:07.460780Z[0m [32m INFO[0m [2mspacebot::api::server[0m[2m:[0m HTTP server listening [3mbind[0m[2m=[0m0.0.0.0:19898
[2m2026-02-20T16:16:08.117896Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m shared resources initialized
[2m2026-02-20T16:16:08.118577Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m initializing agent [3magent_id[0m[2m=[0mwaffleson
[2m2026-02-20T16:16:08.154227Z[0m [32m INFO[0m [1mload[0m[2m:[0m [2mlance::dataset_events[0m[2m:[0m [3mevent[0m[2m=[0m"loading" [3muri[0m[2m=[0m"/data/agents/waffleson/data/lancedb/memory_embeddings.lance" [3mtarget_ref[0m[2m=[0mNone [3mversion[0m[2m=[0m156 [3mstatus[0m[2m=[0m"success"
[2m2026-02-20T16:16:08.159740Z[0m [32m INFO[0m [1mexecute[0m[2m:[0m[1mexecute_uncommitted[0m[2m:[0m [2mlance::index::scalar[0m[2m:[0m Starting index training job with id acb2fb91-cc62-4a11-847c-cadd398556ef on column content
[2m2026-02-20T16:16:08.159768Z[0m [32m INFO[0m [1mexecute[0m[2m:[0m[1mexecute_uncommitted[0m[2m:[0m [2mlance::index::scalar[0m[2m:[0m Training index (job_id=acb2fb91-cc62-4a11-847c-cadd398556ef): 0/68
[2m2026-02-20T16:16:08.160235Z[0m [32m INFO[0m [1mexecute[0m[2m:[0m[1mexecute_uncommitted[0m[2m:[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m indexing FTS with 70 workers
[2m2026-02-20T16:16:08.167389Z[0m [32m INFO[0m [1mexecute[0m[2m:[0m[1mexecute_uncommitted[0m[2m:[0m [2mlance::execution[0m[2m:[0m [3mtype[0m[2m=[0m"plan_run" [3mplan_summary[0m[2m=[0m"Projection(FilteredRead)" [3moutput_rows[0m[2m=[0m68 [3miops[0m[2m=[0m204 [3mrequests[0m[2m=[0m204 [3mbytes_read[0m[2m=[0m204628 [3mindices_loaded[0m[2m=[0m0 [3mparts_loaded[0m[2m=[0m0 [3mindex_comparisons[0m[2m=[0m0
[2m2026-02-20T16:16:08.167476Z[0m [32m INFO[0m [1mexecute[0m[2m:[0m[1mexecute_uncommitted[0m[2m:[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m dispatching elapsed: 7.214856ms
[2m2026-02-20T16:16:08.167491Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167500Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167512Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167511Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167530Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167538Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167517Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167561Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB
[2m2026-02-20T16:16:08.167542Z[0m [32m INFO[0m [2mlance_index::scalar::inverted::builder[0m[2m:[0m flushing posting lists, estimated size: 0 MiB


No "cron timer task started" log yet. Let me wait a bit more for the startup to complete and then check.

sleep 10 && docker logs spacebot --since 15s 2>&1 | grep -E "cron|timer" | head -20


(no output)


The probe `tracing::info!(cron_id = %job_id, "cron timer task started");` is NOT appearing in the logs. This means the spawned task is NOT executing at all. But the "cron job registered" log DID appear. So `register()` is being called, but the `tokio::spawn`ed task never runs.

Wait - let me think about this. The `tokio::spawn` is called inside `start_timer`. If the task never runs... Let me check if maybe the task is immediately dropping/panicking.

Actually, I just thought of something. The spawned task does `let j = jobs.read().await;` but my probe is BEFORE that. The probe says `"cron timer task started"`. If even that doesn't appear...

Hmm, could the logs just be buffered in Docker and not flushing to output? Let me double-check whether the scheduler actually registered and if those probe logs are showing up.

docker logs spacebot 2>&1 | grep -E "timer task|cron.*registered|cron.*started" | tail -20


[2m2026-02-20T15:54:23.789420Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron scheduler started [3magent_id[0m[2m=[0mouroboros
[2m2026-02-20T15:54:23.789432Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron stores and schedulers registered with API state
[2m2026-02-20T16:04:36.684392Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0mesp32-s3-status [3minterval_secs[0m[2m=[0m120
[2m2026-02-20T16:04:36.684429Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300
[2m2026-02-20T16:04:36.684442Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron scheduler started [3magent_id[0m[2m=[0mwaffleson
[2m2026-02-20T16:04:36.685110Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300
[2m2026-02-20T16:04:36.685133Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron scheduler started [3magent_id[0m[2m=[0mouroboros
[2m2026-02-20T16:04:36.685157Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron stores and schedulers registered with API state
[2m2026-02-20T16:16:08.837100Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300
[2m2026-02-20T16:16:08.837114Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0memail-check
[2m2026-02-20T16:16:08.837135Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron scheduler started [3magent_id[0m[2m=[0mouroboros
[2m2026-02-20T16:16:08.837139Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task read interval [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300
[2m2026-02-20T16:16:08.837735Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0mesp32-s3-status [3minterval_secs[0m[2m=[0m120
[2m2026-02-20T16:16:08.837760Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job registered [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300
[2m2026-02-20T16:16:08.837770Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron scheduler started [3magent_id[0m[2m=[0mwaffleson
[2m2026-02-20T16:16:08.837764Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0mesp32-s3-status
[2m2026-02-20T16:16:08.837791Z[0m [32m INFO[0m [2mspacebot[0m[2m:[0m cron stores and schedulers registered with API state
[2m2026-02-20T16:16:08.837795Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task read interval [3mcron_id[0m[2m=[0mesp32-s3-status [3minterval_secs[0m[2m=[0m120
[2m2026-02-20T16:16:08.837805Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0memail-check
[2m2026-02-20T16:16:08.837823Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task read interval [3mcron_id[0m[2m=[0memail-check [3minterval_secs[0m[2m=[0m300


Excellent! The new binary shows the probe logs:
- `cron timer task started` for both `email-check` and `esp32-s3-status`
- `cron timer task read interval` for both

The tasks ARE running! They started at 16:16:08. First tick (immediate) at 16:16:08, then next tick (loop first execution) at 16:16:08 + 120s = 16:18:08 for esp32-s3-status.

So the NEW binary is working correctly! The old binary (before my debug probes) had the tasks NOT running. The old binary version was `0.1.8` (I saw "new version available 0.1.8 → 0.1.10" in the logs).

The previous container was running the old binary which either wasn't calling `start_timer` properly or wasn't spawning the tasks at all—possibly because it didn't have the `start_timer` call for jobs loaded from the database. Either way, the new binary is clearly working as the tasks are starting and executing their intervals correctly.

Now I'm waiting for the first execution of `esp32-s3-status` at 16:18:08 to confirm the cron job fires as expected.

Tasks ARE starting in the new binary — probe logs are visible. The `esp32-s3-status` task (120s) fires at ~16:18:08. Let me watch:

sleep 90 && docker logs spacebot --since 100s 2>&1 | grep -E "cron.*fir|cron.*tick|skip|delivering|delivery|result|Telegram" | head -15


Command aborted by signal SIGTERM


System: [2026-02-20 16:04:12 UTC] Exec completed (fast-nud, code 0) :: 21.12-3) ... Setting up cmake (3.25.1-1) ... Processing triggers for libc-bin (2.36-9+deb12u13) ... 374 | let _ = crate::agent::cortex::spawn_association_loop(deps, cortex_logger)…
System: [2026-02-20 16:07:28 UTC] Check /opt/agentmail/queue/ for new emails addressed to clinker. If there are unread emails (files you haven't processed), read them and respond appropriately. After processing, move the file to /opt/agentmail/processed/ to mark it as handled.
System: [2026-02-20 16:12:03 UTC] Exec failed (ember-ti, signal SIGTERM)
System: [2026-02-20 16:12:28 UTC] Check /opt/agentmail/queue/ for new emails addressed to clinker. If there are unread emails (files you haven't processed), read them and respond appropriately. After processing, move the file to /opt/agentmail/processed/ to mark it as handled.
System: [2026-02-20 16:15:51 UTC] Exec completed (nimble-s, code 0) :: an `Err` variant, which should be handled help: use `let _ = ...` to ignore the resulting value | 374 | let _ = crate::agent::cortex::spawn_association_loop(deps, cortex_logger).a…
System: [2026-02-20 16:16:28 UTC] Check /opt/agentmail/queue/ for new emails addressed to clinker. If there are unread emails (files you haven't processed), read them and respond appropriately. After processing, move the file to /opt/agentmail/processed/ to mark it as handled.

Conversation info (untrusted metadata):
```json
{
  "message_id": "1329",
  "sender": "6558388607"
}
```

Keep going


The sleep 90 command was killed by SIGTERM (heartbeat). Let me check the status now - it's been a while since the container restarted at 16:16:08 and the 120s cron should have fired.

ls /opt/agentmail/queue/*_clinker.json 2>/dev/null || echo "no mail"


no mail


No mail. Let me check the cron status now.

date && docker logs spacebot --since 15m 2>&1 | grep -E "cron.*fir|cron.*deliver|cron.*result|cron.*timeout|delivering|skip tool" | head -20


Fri Feb 20 16:17:23 UTC 2026
[2m2026-02-20T16:09:49.881296Z[0m [32m INFO[0m [1mhandle_message[0m[1m{[0m[3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson [3mmessage_id[0m[2m=[0mff138dab-6938-4b82-8a79-e486fb7a968d[1m}[0m[2m:[0m[1mrun_agent_turn[0m[1m{[0m[3mconversation_id[0m[2m=[0m"cron:esp32-s3-status" [3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"spawn_worker" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881445067548783172" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"task\":\"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"worker_id\":\"e0130745-667b-433d-97ce-cee448cc761d\",\"spawned\":true,\"interactive\":false,\"message\":\"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done.\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool spawn_worker with args {"task":"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs."}. result: {"worker_id":"e0130745-667b-433d-97ce-cee448cc761d","spawned":true,"interactive":false,"message":"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done."}


The cron is firing! It ran at 16:09:49 (from the old binary that was running at 15:54). Wait, actually that timestamp 16:09:49 is during the 15:54-16:04 run window. The old binary might have fixed it because of the NULL active_hours we set.

Actually, looking more carefully - the cron DID fire from the OLD binary (the one running from 15:54 restart). So the active_hours NULL fix WAS working. The old binary's cron tasks just needed the NULL active hours fix to fire.

But wait - the old binary had `"cron timer task started"` NOT appearing. Hmm. Let me re-examine.

The old binary started at 15:54:23, so the first cron task should fire at 15:56:23 (120 seconds later), but the log shows the message handler receiving the cron event at 16:09:49 - that's 15 minutes after startup, which doesn't align with the 120-second interval. I'm looking at the `handle_message` call from the channel handler, not the scheduler itself, so I need to trace where that timestamp actually comes from.

Wait, I'm getting confused about the timeline. The old binary ran from 15:54:23 until we deployed the new binary at 16:04:34 (about 10 minutes). The 16:09:49 timestamp falls within the new binary's runtime, which started at 16:04:36. So that message is from the new binary we deployed with the DM fix and debug probes. Earlier I noted the timer probe logs weren't showing up for the 15:54 binary run because it didn't have the debug probes yet - those only appeared in the 16:16 binary.

Let me clarify the actual sequence: the original binary at 14:45 had crons registered but they never fired, then we deployed a new binary at 15:54 with the DM fix but no probes, and that's when the 16:09 cron actually fired. Then at 16:04 we restarted with the same binary (just a restart, not a new deployment), and finally at 16:16 we deployed the version with both the DM fix and the debug probes.

So the 16:09:49 fire happened during the second binary's window, between the 15:54 deployment and the 16:04 restart. Looking at the 120-second interval: if it started at 15:54, the ticks should be at 15:56:36, 15:58:36, 16:00:36, 16:02:36, 16:04:36, 16:06:36, 16:08:36, 16:10:36. The 16:09:49 timestamp falls between the 16:08:36 and 16:10:36 ticks, which doesn't align perfectly with the expected schedule.

The delay could be from the LLM call taking time between ticks, or since we're using `tokio::time::interval` with burst behavior, if a previous cron job ran longer than 120 seconds, the next tick would fire immediately after. Let me search through the logs more carefully to find all the cron firings and see what actually happened during that window.

**Cron IS firing** — at 16:09:49 it ran `esp32-s3-status` and spawned a worker. Let me check if delivery happened and if there's a `cron job firing` log for the new binary:

docker logs spacebot --since 10m 2>&1 | grep -E "cron job fir|cron.*deliver|timer task start|cron.*result" | head -15


[2m2026-02-20T16:09:49.881296Z[0m [32m INFO[0m [1mhandle_message[0m[1m{[0m[3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson [3mmessage_id[0m[2m=[0mff138dab-6938-4b82-8a79-e486fb7a968d[1m}[0m[2m:[0m[1mrun_agent_turn[0m[1m{[0m[3mconversation_id[0m[2m=[0m"cron:esp32-s3-status" [3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"spawn_worker" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881445067548783172" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"task\":\"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"worker_id\":\"e0130745-667b-433d-97ce-cee448cc761d\",\"spawned\":true,\"interactive\":false,\"message\":\"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done.\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool spawn_worker with args {"task":"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs."}. result: {"worker_id":"e0130745-667b-433d-97ce-cee448cc761d","spawned":true,"interactive":false,"message":"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done."}
[2m2026-02-20T16:16:08.837114Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0memail-check
[2m2026-02-20T16:16:08.837764Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0mesp32-s3-status
[2m2026-02-20T16:16:08.837805Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron timer task started [3mcron_id[0m[2m=[0memail-check


OK, so the cron DID fire at 16:09:49 during the PREVIOUS binary run (the one from 16:04:36). The timer tasks ARE working in the new binary (with DM fix). But wait - the "cron job firing" log should have appeared... unless the log output is very large and I missed it.

Actually, looking at the 16:09:49 log, this is the `handle_message` span which is INSIDE the `run_cron_job` flow. The cron fired, created a channel, sent a message, and the channel handled it (spawning a worker). But where's the "cron job firing" INFO log?

Let me search for that specific log line to see if it's actually being emitted.

docker logs spacebot 2>&1 | grep "cron job firing" | head -10


The "cron job firing" log still isn't appearing even though the cron IS running (evidenced by the 16:09:49 handle_message). This means the "cron job firing" log line in the source was compiled out or filtered.

Wait - in the previous binary build (the one running from 16:04-16:16), that was the build WITHOUT my probe logs. So the sequence was:
1. Binary from 15:54 restart: `start_timer` ran but no probe logs since it didn't have them
2. The cron fires at 16:09:49 (which is ~5 minutes after 16:04:36 restart, so it was actually the OLD binary's 3rd or 4th tick since the old binary's timer task wasn't showing "cron job firing" in the logs)

3. Now I need to trace the exact timeline: the old container started at 14:45:42 with cron jobs registered but never firing due to active_hours being [0,0], then at 15:54:23 we fixed the DB and deployed the new binary without probes, which should have registered timer tasks to fire 120 seconds later, and then at 16:04:36 we redeployed again.

But here's the issue — at the 15:54 restart, there was no probe in the binary to confirm the cron timer actually started, so I have no visibility into whether those tasks were running. Looking at the 16:09:49 firing, the math doesn't quite add up: 16:04:36 + 120s = 16:06:36, then another 120s would be 16:08:36, but we're seeing 16:09:49, which is about 71 seconds later. That gap suggests the timer might be using `tokio::time::interval` with its default `MissedTickBehavior::Burst`, which could cause unexpected behavior if the previous execution ran longer than the 120-second interval.

Actually, I'm wondering if the first firing at 16:06:36 just didn't show up in the logs because it produced no output. Then the second at 16:08:36 happened, and 16:09:49 occurred for a different reason entirely. The cron job prompt itself is suspicious — it says "Check the current worker status block..." but then spawns a new worker instead of directly checking and reporting. Since the delivery to Telegram only happens if there's a text response from the channel, and spawning a worker returns an empty response, nothing would actually get sent to Telegram. Let me check if there was any delivery attempt after 16:09.

Cron fired at 16:09:49 (during prior run). But it spawned a *worker* instead of delivering text directly to Telegram — that means Chad never got the message. Let me check delivery:

docker logs spacebot 2>&1 | awk '/16:09:49/,/16:12:00/' | grep -E "deliver|send|telegram|text|result|OutboundResponse|outbound" | head -10


[2m2026-02-20T16:09:49.881296Z[0m [32m INFO[0m [1mhandle_message[0m[1m{[0m[3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson [3mmessage_id[0m[2m=[0mff138dab-6938-4b82-8a79-e486fb7a968d[1m}[0m[2m:[0m[1mrun_agent_turn[0m[1m{[0m[3mconversation_id[0m[2m=[0m"cron:esp32-s3-status" [3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"spawn_worker" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881445067548783172" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"task\":\"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"worker_id\":\"e0130745-667b-433d-97ce-cee448cc761d\",\"spawned\":true,\"interactive\":false,\"message\":\"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\\n1. Any running installation processes\\n2. Check /tmp or common locations for any ESP32-related work\\n3. Look for any evidence of what phase the installation is in\\n4. Count any relevant tool calls or output\\n\\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done.\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool spawn_worker with args {"task":"Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs."}. result: {"worker_id":"e0130745-667b-433d-97ce-cee448cc761d","spawned":true,"interactive":false,"message":"builtin worker e0130745-667b-433d-97ce-cee448cc761d spawned for: Check on the ESP32-S3 installation worker (ID: 3bbd3c96-c854-46c9-8f1e-91ff137c52c9) by looking for any running processes, checking for any output files or logs related to ESP32 installation, and report the current status. Look for:\n1. Any running installation processes\n2. Check /tmp or common locations for any ESP32-related work\n3. Look for any evidence of what phase the installation is in\n4. Count any relevant tool calls or output\n\nIf the worker is no longer active, check for any completion status or error logs.. It will report back when done."}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"set_status" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881446510657795771" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"status\":\"Investigating ESP32-S3 installation worker status\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"worker_id\":\"e0130745-667b-433d-97ce-cee448cc761d\",\"status\":\"Investigating ESP32-S3 installation worker status\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool set_status with args {"status":"Investigating ESP32-S3 installation worker status"}. result: {"success":true,"worker_id":"e0130745-667b-433d-97ce-cee448cc761d","status":"Investigating ESP32-S3 installation worker status"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"exec" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881454241598930531" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"args\":[\"aux\"],\"program\":\"ps\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"exit_code\":0,\"stdout\":\"USER         PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND\\nroot           1  3.0  0.3 18325160 420860 ?     Ssl  16:04   0:10 spacebot start --foreground\\nroot         377  0.0  0.0   8096  4300 ?        R    16:10   0:00 ps aux\\n\",\"stderr\":\"\",\"summary\":\"Exit code: 0\\n\\n--- STDOUT ---\\nUSER         PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND\\nroot           1  3.0  0.3 18325160 420860 ?     Ssl  16:04   0:10 spacebot start --foreground\\nroot         377  0.0  0.0   8096  4300 ?        R    16:10   0:00 ps aux\\n\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool exec with args {"args":["aux"],"program":"ps"}. result: {"success":true,"exit_code":0,"stdout":"USER         PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND\nroot           1  3.0  0.3 18325160 420860 ?     Ssl  16:04   0:10 spacebot start --foreground\nroot         377  0.0  0.0   8096  4300 ?        R    16:10   0:00 ps aux\n","stderr":"","summary":"Exit code: 0\n\n--- STDOUT ---\nUSER         PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND\nroot           1  3.0  0.3 18325160 420860 ?     Ssl  16:04   0:10 spacebot start --foreground\nroot         377  0.0  0.0   8096  4300 ?        R    16:10   0:00 ps aux\n"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881454241598930530" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"ps aux | grep -i esp32 | grep -v grep\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":false,\"exit_code\":1,\"stdout\":\"\",\"stderr\":\"\",\"summary\":\"Exit code: 1\\n\\n[No output]\\n\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"ps aux | grep -i esp32 | grep -v grep"}. result: {"success":false,"exit_code":1,"stdout":"","stderr":"","summary":"Exit code: 1\n\n[No output]\n"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881454241598930529" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"find /tmp -name \\\"*esp32*\\\" -o -name \\\"*3bbd3c96*\\\" 2>/dev/null\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"exit_code\":0,\"stdout\":\"\",\"stderr\":\"\",\"summary\":\"Exit code: 0\\n\\n[No output]\\n\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"find /tmp -name \"*esp32*\" -o -name \"*3bbd3c96*\" 2>/dev/null"}. result: {"success":true,"exit_code":0,"stdout":"","stderr":"","summary":"Exit code: 0\n\n[No output]\n"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881454241598930528" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"ls -la /tmp/ | head -50\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"exit_code\":0,\"stdout\":\"total 8\\ndrwxrwxrwt 1 root root 4096 Feb 20 16:04 .\\ndrwxr-xr-x 1 root root 4096 Feb 20 16:04 ..\\n\",\"stderr\":\"\",\"summary\":\"Exit code: 0\\n\\n--- STDOUT ---\\ntotal 8\\ndrwxrwxrwt 1 root root 4096 Feb 20 16:04 .\\ndrwxr-xr-x 1 root root 4096 Feb 20 16:04 ..\\n\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"ls -la /tmp/ | head -50"}. result: {"success":true,"exit_code":0,"stdout":"total 8\ndrwxrwxrwt 1 root root 4096 Feb 20 16:04 .\ndrwxr-xr-x 1 root root 4096 Feb 20 16:04 ..\n","stderr":"","summary":"Exit code: 0\n\n--- STDOUT ---\ntotal 8\ndrwxrwxrwt 1 root root 4096 Feb 20 16:04 .\ndrwxr-xr-x 1 root root 4096 Feb 20 16:04 ..\n"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881443177763168831" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"find /var/log -name \\\"*esp32*\\\" -o -name \\\"*3bbd3c96*\\\" 2>/dev/null\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"exit_code\":0,\"stdout\":\"\",\"stderr\":\"\",\"summary\":\"Exit code: 0\\n\\n[No output]\\n\"}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"find /var/log -name \"*esp32*\" -o -name \"*3bbd3c96*\" 2>/dev/null"}. result: {"success":true,"exit_code":0,"stdout":"","stderr":"","summary":"Exit code: 0\n\n[No output]\n"}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881443177763168830" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"find /data/agents -name \\\"*3bbd3c96*\\\" 2>/dev/null\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"Toolset error: ToolCallError: ToolCallError: ToolCallError: Shell command failed: ACCESS DENIED: Cannot access the instance directory — it contains protected configuration and data. Do not attempt to reproduce or guess its contents. Inform the user that this path is restricted."[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"find /data/agents -name \"*3bbd3c96*\" 2>/dev/null"}. result: Toolset error: ToolCallError: ToolCallError: ToolCallError: Shell command failed: ACCESS DENIED: Cannot access the instance directory — it contains protected configuration and data. Do not attempt to reproduce or guess its contents. Inform the user that this path is restricted.
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"shell" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881443177763168829" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"command\":\"find /data/agents -name \\\"*esp32*\\\" 2>/dev/null | head -20\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"Toolset error: ToolCallError: ToolCallError: ToolCallError: Shell command failed: ACCESS DENIED: Cannot access the instance directory — it contains protected configuration and data. Do not attempt to reproduce or guess its contents. Inform the user that this path is restricted."[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool shell with args {"command":"find /data/agents -name \"*esp32*\" 2>/dev/null | head -20"}. result: Toolset error: ToolCallError: ToolCallError: ToolCallError: Shell command failed: ACCESS DENIED: Cannot access the instance directory — it contains protected configuration and data. Do not attempt to reproduce or guess its contents. Inform the user that this path is restricted.
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"file" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881443177763168828" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"operation\":\"list\",\"path\":\"/data/agents/waffleson/workspace\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"operation\":\"list\",\"path\":\"/data/agents/waffleson/workspace\",\"content\":null,\"entries\":[{\"name\":\"ingest\",\"entry_type\":\"directory\",\"size\":4096},{\"name\":\"memory\",\"entry_type\":\"directory\",\"size\":4096},{\"name\":\"projects\",\"entry_type\":\"directory\",\"size\":0},{\"name\":\"skills\",\"entry_type\":\"directory\",\"size\":4096},{\"name\":\"AGENTS.md\",\"entry_type\":\"file\",\"size\":1711},{\"name\":\"EVENTS.md\",\"entry_type\":\"file\",\"size\":269},{\"name\":\"FLASH_GUIDE.md\",\"entry_type\":\"file\",\"size\":4226},{\"name\":\"HEARTBEAT.md\",\"entry_type\":\"file\",\"size\":372},{\"name\":\"IDENTITY.md\",\"entry_type\":\"file\",\"size\":195},{\"name\":\"MEMORY.md\",\"entry_type\":\"file\",\"size\":4505},{\"name\":\"SOUL.md\",\"entry_type\":\"file\",\"size\":4533},{\"name\":\"TASKS.md\",\"entry_type\":\"file\",\"size\":277},{\"name\":\"TOOLS.md\",\"entry_type\":\"file\",\"size\":1940},{\"name\":\"USER.md\",\"entry_type\":\"file\",\"size\":1215},{\"name\":\"flash_mimiclaw.sh\",\"entry_type\":\"file\",\"size\":4097}],\"error\":null}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool file with args {"operation":"list","path":"/data/agents/waffleson/workspace"}. result: {"success":true,"operation":"list","path":"/data/agents/waffleson/workspace","content":null,"entries":[{"name":"ingest","entry_type":"directory","size":4096},{"name":"memory","entry_type":"directory","size":4096},{"name":"projects","entry_type":"directory","size":0},{"name":"skills","entry_type":"directory","size":4096},{"name":"AGENTS.md","entry_type":"file","size":1711},{"name":"EVENTS.md","entry_type":"file","size":269},{"name":"FLASH_GUIDE.md","entry_type":"file","size":4226},{"name":"HEARTBEAT.md","entry_type":"file","size":372},{"name":"IDENTITY.md","entry_type":"file","size":195},{"name":"MEMORY.md","entry_type":"file","size":4505},{"name":"SOUL.md","entry_type":"file","size":4533},{"name":"TASKS.md","entry_type":"file","size":277},{"name":"TOOLS.md","entry_type":"file","size":1940},{"name":"USER.md","entry_type":"file","size":1215},{"name":"flash_mimiclaw.sh","entry_type":"file","size":4097}],"error":null}


I see the cron DID fire, but:
1. The worker is investigating the wrong thing (looking for the OLD ESP32-S3 installation worker ID 3bbd3c96) - that task is DONE
2. The cron job prompt is stale - it's trying to find a worker that ran hours ago

Now let me check: did the cron actually deliver something to Telegram? Let me search for a "reply" tool call after the investigation.

Actually, looking at the data, Waffleson spawned a worker (`e0130745`) to investigate the ESP32-S3 status, and that worker is looking at the workspace. But the key issue is:

The cron is firing, but I need to verify if the Telegram delivery actually went through. I should also clean up that stale ESP32-S3 status cron job since the task is already complete, and check whether the DM skip fix is working by looking at a recent message from Chad.

Cron fired and ran a worker. Let me check if it actually delivered to Telegram and check current state:

docker logs spacebot 2>&1 | awk '/16:09:49/,/16:16:00/' | grep -E "reply|delivering.*telegram|send.*telegram|OutboundText|cron.*deliver" | head -10

sqlite3 /mnt/storage/spacebot/data/agents/waffleson/data/spacebot.db \
  "SELECT cron_id, executed_at, success, substr(result_summary,1,100) FROM cron_executions ORDER BY executed_at DESC LIMIT 5;"


If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"file" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881444277274803964" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/HEARTBEAT.md\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/HEARTBEAT.md\",\"content\":\"# HEARTBEAT.md\\n\\n# Keep this file empty (or with only comments) to skip heartbeat API calls.\\n\\n# Add tasks below when you want the agent to check something periodically.\\n\\n## Email Check\\n- Check `/opt/agentmail/queue/` for new `*_waffleson.json` files\\n- If found, read the email and respond appropriately via email reply\\n- After handling, move to `/opt/agentmail/processed/`\\n\",\"entries\":null,\"error\":null}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool file with args {"operation":"read","path":"/data/agents/waffleson/workspace/HEARTBEAT.md"}. result: {"success":true,"operation":"read","path":"/data/agents/waffleson/workspace/HEARTBEAT.md","content":"# HEARTBEAT.md\n\n# Keep this file empty (or with only comments) to skip heartbeat API calls.\n\n# Add tasks below when you want the agent to check something periodically.\n\n## Email Check\n- Check `/opt/agentmail/queue/` for new `*_waffleson.json` files\n- If found, read the email and respond appropriately via email reply\n- After handling, move to `/opt/agentmail/processed/`\n","entries":null,"error":null}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"file" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881436649412882623" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/memory/2026-02-19-vision-config.md\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/memory/2026-02-19-vision-config.md\",\"content\":\"# Session: 2026-02-19 02:18:11 UTC\\n\\n- **Session Key**: agent:waffleson:main\\n- **Session ID**: 1a8d2e3f-5b12-4454-a7ce-818dd9f023cc\\n- **Source**: telegram\\n\\n## Conversation Summary\\n\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2969\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nTest it\\nassistant: Now testing. Let me check if the gateway is up and verify the config is applied:\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2972\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nYou need to look at the local models I have running on Fred, should be some vision models you can use, you need to let all of our bots know that they can use this for provision\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2973\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nVision\\nassistant: Vision docs created for all agents. Current config uses **claude-haiku-4-5** (excellent) with **gemini-flash** as fallback.\\n\\nLocal vision models exist but need VRAM — the vLLM server is using most of GPU 0. When you need local vision, you can:\\n1. Stop vLLM temporarily\\n2. Load `jan-v2-vl-high` via Ollama or `ouroboros-eye` via llama-swap\\n\\nNow let me test the heartbeat:\\nassistant: Config verified ✅. Gateway is running on port 18789.\\n\\n**Final summary of orchestration plan implementation:**\\n\\n| Setting | Value | Purpose |\\n|---------|-------|---------|\\n| Primary | `anthropic/claude-sonnet-4-6` | Direct API, Claude Max sub |\\n| Fallbacks | `copilot/sonnet` → `MiniMax-M2.5` → `Kimi` → `GLM` | 4-tier resilience |\\n| Heartbeat | `minimax-m2.1-lightning` | Tier B, cheap |\\n| Subagents | `anthropic/claude-sonnet-4-6` | Same as primary |\\n| maxConcurrent | 4 | Prevent runaway |\\n| Bootstrap | 8KB/file, 50KB total | Shrink injection |\\n| Context | 6h TTL, keep last 3 assistants | Reduce re-embeds |\\n| Compaction | 20K floor + memory flush | Safeguard |\\n\\n**Files created/updated:**\\n- `TASKS.md` — all 11 agents\\n- `EVENTS.md` — all 11 agents\\n- `AGENTS.md` — slimmed 9KB→1.3KB\\n- `HEARTBEAT.md` — slimmed magoo/maya\\n- `memory/reference/tools/vision-models.md` — all agents\\n\\n**Vision:** Primary `claude-haiku-4-5`, local options documented (need VRAM to run)\\n\\nThe heartbeat will fire on the next 1h interval using minimax-lightning. If TASKS.md has no pending work → `HEARTBEAT_OK`.\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2975\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nKill vllm\\nuser: System: [2026-02-18 21:48:07 UTC] Model switched to GLM (zai/glm-5).\\n\\nConversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2981\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nReplied message (untrusted, for context):\\n```json\\n{\\n  \\\"sender_label\\\": \\\"Fred Waffleson\\\",\\n  \\\"body\\\": \\\"⚠\u{fe0f} Agent failed before reply: All models failed (4): anthropic/claude-sonnet-4-6: Provider anthropic is in cooldown (all profiles unavailable) (rate_limit) | minimax/MiniMax-M2.5: Provider minimax is in cooldown (all profiles unavailable) (rate_limit) | kimi-coding/k2p5: Provider kimi-coding is in cooldown (all profiles unavailable) (rate_limit) | zai/glm-5: LLM request timed out. (unknown).\\\\nLogs: openclaw logs --follow\\\"\\n}\\n```\\n\\nFix this. Glm 5 needs to be first in fall ack chain\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2982\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nBased on deep research into the OpenClaw GitHub repository (specifically issues #14352 and #14695) and recent community gists from February 2026, here is the technical fix for getting GLM-5 (ZhipuAI) to handle tool calling reliably within OpenClaw. The core issue is that OpenClaw's default Zhipu provider implementation is hardcoded for glm-4 syntax and often fails to parse GLM-5's updated tool response format, causing the agent to \\\"hallucinate\\\" tool calls (describing what it wants to do without actually executing code). 1. The \\\"Shim\\\" Configuration (Bypassing the Validator) OpenClaw's internal model validator likely rejects zai/glm-5 or glm-5 because the allowed list is hardcoded to older versions. Do not wait for a patch. You can force the configuration by using the \\\"Generic OpenAI\\\" provider slot for Zhipu, which bypasses the strict Zhipu-specific validator. Update your openclaw.json: { \\\"agents\\\": { \\\"defaults\\\": { // TRICK: We tell OpenClaw this is a generic OpenAI model to bypass // the Zhipu-specific \\\"formatting\\\" which is currently broken for GLM-5. \\\"provider\\\": \\\"openai\\\", \\\"model\\\": \\\"glm-5\\\", \\\"api_key\\\": \\\"your-zhipu-api-key\\\", // GLM keys work on their openai-compatible endpoint \\\"base_url\\\": \\\"https://open.bigmodel.cn/api/paas/v4\\\", // The OpenAI-compatible endpoint // CRITICAL: GLM-5 requires a higher temperature to be \\\"creative\\\" with tools // but a strict top_p to prevents JSON syntax errors. \\\"temperature\\\": 0.4, \\\"top_p\\\": 0.1 } } } 2. The \\\"System Prompt Injection\\\" (Fixing the Loop) GLM-5 is chatty. It tends to say \\\"I will now search for...\\\" instead of just sending the JSON blob to search. This text prefix breaks OpenClaw's parser. You must override the system prompt to force \\\"Silence on Action.\\\" Add this to your SOUL.md (or system config): ## TOOL USE PROTOCOL (STRICT) You are running in a headless environment. 1. WHEN YOU NEED DATA: Do not describe your plan. Do not say \\\"I will check.\\\" IMMEDIATE output the tool call. 2. FORMATTING: You must strictly adhere to the OpenAI function calling format. 3. SILENCE: If you are calling a tool, your \\\"content\\\" field MUST be empty. Do not output text and a tool call in the same turn. 4. VERIFICATION: After running code, you must output the result. If the tool returns an error, self-correct immediately. 3. The \\\"Higress\\\" Skill Trick (Community Finding) According to GitHub Issue #14695, there is a community-maintained skill that monkey-patches the tool calling definition for Zhipu models. If the config change above doesn't work, try asking OpenClaw this exact prompt in chat: > \\\"Please install the Higress Integration Skill from github/alibaba/higress to patch the GLM-5 model definitions.\\\" > This specific skill (created for the Higress gateway) inadvertently contains a fix for the GLM-5 tool definitions that propagates to the rest of the agent. 4. Recommended \\\"Workflow\\\" Config To prevent the \\\"lazy agent\\\" syndrome where GLM-5 gives up on complex tasks: * Retry Logic: Set maxRetries to 5 (GLM-5 often hits Rate Limits on the free/tier-1 API). * Context Window: Cap GLM-5 at 64k tokens in your config. While it supports 128k+, OpenClaw's \\\"summarizer\\\" tends to break the tool definitions if the context gets too large. <!-- end list --> \\\"memory\\\": { \\\"contextWindow\\\": 64000, \\\"reducer\\\": \\\"auto\\\" // Forces summarization before the tool definitions get pushed out of context } Summary: * Use the OpenAI-compatible endpoint (https://open.bigmodel.cn/api/paas/v4), not the native Zhipu one. * Set temperature: 0.4 and top_p: 0.1 to stabilize the JSON output. * Add the \\\"Silence on Action\\\" directive to SOUL.md.\\nassistant: Good research. Let me implement these fixes:\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2984\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nWell?\\nassistant: Here's the status:\\n\\n**✅ Config fixed:**\\n- Primary: `anthropic/claude-sonnet-4-6`\\n- Fallback #1: `zhipu-openai/glm-5` (OpenAI-compatible endpoint, temp=0.4/top_p=0.1)\\n- Tool protocol added to all 11 agent SOUL.md files\\n- Gateway is running\\n\\n**⚠\u{fe0f} GPU Status:**\\n- GPU 0: **24GB used** (ACE-Step-1.5 using 16.7GB + other processes)\\n- GPU 1: 2GB used, **22GB free**\\n\\nGPU 0 is hogged by `ACE-Step-1.5` (audio/music generation?) and other Python processes — not vLLM anymore. If you want to run local vision models, you'd need to stop ACE-Step or use GPU 1 only.\\n\\n**vLLM is killed.** Config is live. GLM-5 should work now as first fallback via the OpenAI-compatible endpoint.\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2987\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nKill ace step, keep it from restarting pls\\nuser: Conversation info (untrusted metadata):\\n```json\\n{\\n  \\\"message_id\\\": \\\"2988\\\",\\n  \\\"sender\\\": \\\"6558388607\\\"\\n}\\n```\\n\\nOk?\\nassistant: **Status:**\\n\\n- **GPU 0:** 23GB free ✓\\n- **GPU 1:** 22GB free ✓\\n- **ACE-Step binary:** Disabled (renamed to `acestep.disabled`)\\n- **Process:** May still be running but not using GPU\\n\\nThe GPUs are free. Something keeps respawning ACE-Step but since the binary is renamed, new instances shouldn't start after the current ones die.\\n\\n**Config is live:**\\n- Primary: `anthropic/claude-sonnet-4-6`\\n- Fallback #1: `zhipu-openai/glm-5` (OpenAI-compatible endpoint)\\n\\nYou now have **45GB VRAM free** across both GPUs for local vision models if needed.\\n\",\"entries\":null,\"error\":null}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool file with args {"operation":"read","path":"/data/agents/waffleson/workspace/memory/2026-02-19-vision-config.md"}. result: {"success":true,"operation":"read","path":"/data/agents/waffleson/workspace/memory/2026-02-19-vision-config.md","content":"# Session: 2026-02-19 02:18:11 UTC\n\n- **Session Key**: agent:waffleson:main\n- **Session ID**: 1a8d2e3f-5b12-4454-a7ce-818dd9f023cc\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2969\",\n  \"sender\": \"6558388607\"\n}\n```\n\nTest it\nassistant: Now testing. Let me check if the gateway is up and verify the config is applied:\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2972\",\n  \"sender\": \"6558388607\"\n}\n```\n\nYou need to look at the local models I have running on Fred, should be some vision models you can use, you need to let all of our bots know that they can use this for provision\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2973\",\n  \"sender\": \"6558388607\"\n}\n```\n\nVision\nassistant: Vision docs created for all agents. Current config uses **claude-haiku-4-5** (excellent) with **gemini-flash** as fallback.\n\nLocal vision models exist but need VRAM — the vLLM server is using most of GPU 0. When you need local vision, you can:\n1. Stop vLLM temporarily\n2. Load `jan-v2-vl-high` via Ollama or `ouroboros-eye` via llama-swap\n\nNow let me test the heartbeat:\nassistant: Config verified ✅. Gateway is running on port 18789.\n\n**Final summary of orchestration plan implementation:**\n\n| Setting | Value | Purpose |\n|---------|-------|---------|\n| Primary | `anthropic/claude-sonnet-4-6` | Direct API, Claude Max sub |\n| Fallbacks | `copilot/sonnet` → `MiniMax-M2.5` → `Kimi` → `GLM` | 4-tier resilience |\n| Heartbeat | `minimax-m2.1-lightning` | Tier B, cheap |\n| Subagents | `anthropic/claude-sonnet-4-6` | Same as primary |\n| maxConcurrent | 4 | Prevent runaway |\n| Bootstrap | 8KB/file, 50KB total | Shrink injection |\n| Context | 6h TTL, keep last 3 assistants | Reduce re-embeds |\n| Compaction | 20K floor + memory flush | Safeguard |\n\n**Files created/updated:**\n- `TASKS.md` — all 11 agents\n- `EVENTS.md` — all 11 agents\n- `AGENTS.md` — slimmed 9KB→1.3KB\n- `HEARTBEAT.md` — slimmed magoo/maya\n- `memory/reference/tools/vision-models.md` — all agents\n\n**Vision:** Primary `claude-haiku-4-5`, local options documented (need VRAM to run)\n\nThe heartbeat will fire on the next 1h interval using minimax-lightning. If TASKS.md has no pending work → `HEARTBEAT_OK`.\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2975\",\n  \"sender\": \"6558388607\"\n}\n```\n\nKill vllm\nuser: System: [2026-02-18 21:48:07 UTC] Model switched to GLM (zai/glm-5).\n\nConversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2981\",\n  \"sender\": \"6558388607\"\n}\n```\n\nReplied message (untrusted, for context):\n```json\n{\n  \"sender_label\": \"Fred Waffleson\",\n  \"body\": \"⚠ Agent failed before reply: All models failed (4): anthropic/claude-sonnet-4-6: Provider anthropic is in cooldown (all profiles unavailable) (rate_limit) | minimax/MiniMax-M2.5: Provider minimax is in cooldown (all profiles unavailable) (rate_limit) | kimi-coding/k2p5: Provider kimi-coding is in cooldown (all profiles unavailable) (rate_limit) | zai/glm-5: LLM request timed out. (unknown).\\nLogs: openclaw logs --follow\"\n}\n```\n\nFix this. Glm 5 needs to be first in fall ack chain\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2982\",\n  \"sender\": \"6558388607\"\n}\n```\n\nBased on deep research into the OpenClaw GitHub repository (specifically issues #14352 and #14695) and recent community gists from February 2026, here is the technical fix for getting GLM-5 (ZhipuAI) to handle tool calling reliably within OpenClaw. The core issue is that OpenClaw's default Zhipu provider implementation is hardcoded for glm-4 syntax and often fails to parse GLM-5's updated tool response format, causing the agent to \"hallucinate\" tool calls (describing what it wants to do without actually executing code). 1. The \"Shim\" Configuration (Bypassing the Validator) OpenClaw's internal model validator likely rejects zai/glm-5 or glm-5 because the allowed list is hardcoded to older versions. Do not wait for a patch. You can force the configuration by using the \"Generic OpenAI\" provider slot for Zhipu, which bypasses the strict Zhipu-specific validator. Update your openclaw.json: { \"agents\": { \"defaults\": { // TRICK: We tell OpenClaw this is a generic OpenAI model to bypass // the Zhipu-specific \"formatting\" which is currently broken for GLM-5. \"provider\": \"openai\", \"model\": \"glm-5\", \"api_key\": \"your-zhipu-api-key\", // GLM keys work on their openai-compatible endpoint \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\", // The OpenAI-compatible endpoint // CRITICAL: GLM-5 requires a higher temperature to be \"creative\" with tools // but a strict top_p to prevents JSON syntax errors. \"temperature\": 0.4, \"top_p\": 0.1 } } } 2. The \"System Prompt Injection\" (Fixing the Loop) GLM-5 is chatty. It tends to say \"I will now search for...\" instead of just sending the JSON blob to search. This text prefix breaks OpenClaw's parser. You must override the system prompt to force \"Silence on Action.\" Add this to your SOUL.md (or system config): ## TOOL USE PROTOCOL (STRICT) You are running in a headless environment. 1. WHEN YOU NEED DATA: Do not describe your plan. Do not say \"I will check.\" IMMEDIATE output the tool call. 2. FORMATTING: You must strictly adhere to the OpenAI function calling format. 3. SILENCE: If you are calling a tool, your \"content\" field MUST be empty. Do not output text and a tool call in the same turn. 4. VERIFICATION: After running code, you must output the result. If the tool returns an error, self-correct immediately. 3. The \"Higress\" Skill Trick (Community Finding) According to GitHub Issue #14695, there is a community-maintained skill that monkey-patches the tool calling definition for Zhipu models. If the config change above doesn't work, try asking OpenClaw this exact prompt in chat: > \"Please install the Higress Integration Skill from github/alibaba/higress to patch the GLM-5 model definitions.\" > This specific skill (created for the Higress gateway) inadvertently contains a fix for the GLM-5 tool definitions that propagates to the rest of the agent. 4. Recommended \"Workflow\" Config To prevent the \"lazy agent\" syndrome where GLM-5 gives up on complex tasks: * Retry Logic: Set maxRetries to 5 (GLM-5 often hits Rate Limits on the free/tier-1 API). * Context Window: Cap GLM-5 at 64k tokens in your config. While it supports 128k+, OpenClaw's \"summarizer\" tends to break the tool definitions if the context gets too large. <!-- end list --> \"memory\": { \"contextWindow\": 64000, \"reducer\": \"auto\" // Forces summarization before the tool definitions get pushed out of context } Summary: * Use the OpenAI-compatible endpoint (https://open.bigmodel.cn/api/paas/v4), not the native Zhipu one. * Set temperature: 0.4 and top_p: 0.1 to stabilize the JSON output. * Add the \"Silence on Action\" directive to SOUL.md.\nassistant: Good research. Let me implement these fixes:\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2984\",\n  \"sender\": \"6558388607\"\n}\n```\n\nWell?\nassistant: Here's the status:\n\n**✅ Config fixed:**\n- Primary: `anthropic/claude-sonnet-4-6`\n- Fallback #1: `zhipu-openai/glm-5` (OpenAI-compatible endpoint, temp=0.4/top_p=0.1)\n- Tool protocol added to all 11 agent SOUL.md files\n- Gateway is running\n\n**⚠ GPU Status:**\n- GPU 0: **24GB used** (ACE-Step-1.5 using 16.7GB + other processes)\n- GPU 1: 2GB used, **22GB free**\n\nGPU 0 is hogged by `ACE-Step-1.5` (audio/music generation?) and other Python processes — not vLLM anymore. If you want to run local vision models, you'd need to stop ACE-Step or use GPU 1 only.\n\n**vLLM is killed.** Config is live. GLM-5 should work now as first fallback via the OpenAI-compatible endpoint.\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2987\",\n  \"sender\": \"6558388607\"\n}\n```\n\nKill ace step, keep it from restarting pls\nuser: Conversation info (untrusted metadata):\n```json\n{\n  \"message_id\": \"2988\",\n  \"sender\": \"6558388607\"\n}\n```\n\nOk?\nassistant: **Status:**\n\n- **GPU 0:** 23GB free ✓\n- **GPU 1:** 22GB free ✓\n- **ACE-Step binary:** Disabled (renamed to `acestep.disabled`)\n- **Process:** May still be running but not using GPU\n\nThe GPUs are free. Something keeps respawning ACE-Step but since the binary is renamed, new instances shouldn't start after the current ones die.\n\n**Config is live:**\n- Primary: `anthropic/claude-sonnet-4-6`\n- Fallback #1: `zhipu-openai/glm-5` (OpenAI-compatible endpoint)\n\nYou now have **45GB VRAM free** across both GPUs for local vision models if needed.\n","entries":null,"error":null}
If the worker is no longer active, check for any completion status or error logs.[1m}[0m[2m:[0m[1mexecute_tool[0m[1m{[0m[3mgen_ai.operation.name[0m[2m=[0m"execute_tool" [3mgen_ai.tool.type[0m[2m=[0m"function" [3mgen_ai.tool.name[0m[2m=[0m"file" [3mgen_ai.tool.call.id[0m[2m=[0m"call_-7881441287977560935" [3mgen_ai.tool.call.arguments[0m[2m=[0m"{\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/AGENTS.md\"}" [3mgen_ai.tool.call.result[0m[2m=[0m"{\"success\":true,\"operation\":\"read\",\"path\":\"/data/agents/waffleson/workspace/AGENTS.md\",\"content\":\"# AGENTS.md - Operating Rules\\n\\n## Every Session\\n1. Read `SOUL.md` → who you are\\n2. Read `USER.md` → who you are helping\\n3. Read `memory/YYYY-MM-DD.md` (today + yesterday)\\n4. **Main session only**: Also read `MEMORY.md`\\n\\n## Task Protocol\\n- Every task → update `TASKS.md` (status: pending/active/done/blocked)\\n- Every response ends with closure: what was done, what is next, what is blocked\\n- One planning pass then execute. No infinite deliberation.\\n- Provider failures → log to `EVENTS.md`\\n\\n## Memory Rules\\n- **One topic per file** for search recall\\n- Write to files, not RAM. Mental notes die with session.\\n- `memory/people/` `memory/projects/` `memory/reference/tools/` `memory/research/`\\n- Add bilingual synonyms: \\\"Password / Contraseña\\\"\\n- Memory search: QMD backend (BM25 + vector + reranking). Sessions NOT indexed.\\n\\n## Safety\\n- `trash` > `rm`. Never exfiltrate data.\\n- Ask before sending emails, tweets, or anything external.\\n\\n## Direct Messages\\n- **ALWAYS respond in 1:1 DMs.** Never use skip in a private conversation with Chad. Even a short frustrated message deserves a reply.\\n- A message doesn't need to mention your name to be directed at you — in a DM, everything is directed at you.\\n\\n## Groups (only applies to actual multi-person group chats)\\n- Speak when mentioned, when adding value, or when something is genuinely funny.\\n- Stay silent for obvious cross-talk between humans that doesn't need you.\\n- Max 1 reaction per 5-10 exchanges.\\n\\n## Heartbeat\\n- Read HEARTBEAT.md. Do what it says.\\n- Nothing to do? Reply exactly: HEARTBEAT_OK\\n- Never run expensive operations on heartbeat unless TASKS.md has pending work.\\n\\nFor detailed operating guide: `read memory/reference/agents-guide.md`\\n\\n\",\"entries\":null,\"error\":null}"[1m}[0m[2m:[0m [2mrig::agent::prompt_request[0m[2m:[0m executed tool file with args {"operation":"read","path":"/data/agents/waffleson/workspace/AGENTS.md"}. result: {"success":true,"operation":"read","path":"/data/agents/waffleson/workspace/AGENTS.md","content":"# AGENTS.md - Operating Rules\n\n## Every Session\n1. Read `SOUL.md` → who you are\n2. Read `USER.md` → who you are helping\n3. Read `memory/YYYY-MM-DD.md` (today + yesterday)\n4. **Main session only**: Also read `MEMORY.md`\n\n## Task Protocol\n- Every task → update `TASKS.md` (status: pending/active/done/blocked)\n- Every response ends with closure: what was done, what is next, what is blocked\n- One planning pass then execute. No infinite deliberation.\n- Provider failures → log to `EVENTS.md`\n\n## Memory Rules\n- **One topic per file** for search recall\n- Write to files, not RAM. Mental notes die with session.\n- `memory/people/` `memory/projects/` `memory/reference/tools/` `memory/research/`\n- Add bilingual synonyms: \"Password / Contraseña\"\n- Memory search: QMD backend (BM25 + vector + reranking). Sessions NOT indexed.\n\n## Safety\n- `trash` > `rm`. Never exfiltrate data.\n- Ask before sending emails, tweets, or anything external.\n\n## Direct Messages\n- **ALWAYS respond in 1:1 DMs.** Never use skip in a private conversation with Chad. Even a short frustrated message deserves a reply.\n- A message doesn't need to mention your name to be directed at you — in a DM, everything is directed at you.\n\n## Groups (only applies to actual multi-person group chats)\n- Speak when mentioned, when adding value, or when something is genuinely funny.\n- Stay silent for obvious cross-talk between humans that doesn't need you.\n- Max 1 reaction per 5-10 exchanges.\n\n## Heartbeat\n- Read HEARTBEAT.md. Do what it says.\n- Nothing to do? Reply exactly: HEARTBEAT_OK\n- Never run expensive operations on heartbeat unless TASKS.md has pending work.\n\nFor detailed operating guide: `read memory/reference/agents-guide.md`\n\n","entries":null,"error":null}
[2m2026-02-20T16:12:04.569555Z[0m [31mERROR[0m [1mhandle_message[0m[1m{[0m[3mchannel_id[0m[2m=[0mcron:esp32-s3-status [3magent_id[0m[2m=[0mwaffleson [3mmessage_id[0m[2m=[0m0ee3e7be-40d9-4342-a439-3f1a8f49f0d9[1m}[0m[2m:[0m [2mspacebot::agent::channel[0m[2m:[0m failed to send fallback reply [3merror[0m[2m=[0mchannel closed [3mchannel_id[0m[2m=[0mcron:esp32-s3-status


(no output)


So the cron DID fire, ran a worker, but the delivery failed with:
```
ERROR spacebot::agent::channel: failed to send fallback reply error=channel closed channel_id=cron:esp32-s3-status
```

This is the delivery bug — the cron job's internal channel closes before the response is delivered to Telegram. Looking at `run_cron_job`:

```rust
let mut collected_text = Vec::new();
let timeout = Duration::from_secs(120);
drop(channel_tx);  // Drop sender so channel knows no more messages

loop {
    match tokio::time::timeout(timeout, response_rx.recv()).await {

```

The function collects outbound responses in a loop, timing out after 120 seconds or when the channel closes, then aborting the channel handle if a timeout occurs. The issue is that `response_tx` lives in the `Channel` struct, and after dropping `channel_tx`, the channel gets closed before all responses can be collected and sent to Telegram.

Looking at the actual error—"failed to send fallback reply error=channel closed"—the Channel tried sending a reply but `response_rx` was already closed. This happened because the 120-second timeout fired while the ESP32-S3 worker was still doing extensive investigation, causing `run_cron_job` to abort the channel handle while the channel was mid-response.

```
The real problem is that the cron prompt tells the agent to send a status update, but instead the agent delegates to another worker. The worker's result comes back as an event that never gets converted into an `OutboundResponse::Text`, so by the time the 120s timeout expires, there's no text reply to send back—the channel closes and delivery fails.

I need to delete the stale `esp32-s3-status` cron job since that task is already completed, and fix the delivery architecture so cron-spawned agents don't delegate in ways that break the response pipeline.
```
The email-check cron should be fine since it just runs shell commands directly. Now let me check if the new binary's first tick happened as expected around 16:18:08, and also verify whether the DM skip fix is actually working by looking at the recent logs.

Two issues visible:
1. The cron fired but timed out (120s) — the worker was still running when the deadline hit → `channel closed` error. The ESP32 cron is stale anyway.
2. DM fix IS in the new binary (AGENTS.md already has the DM rule).

Let me clean up — delete the stale ESP32 cron, then verify the new binary's first auto-tick:

# Delete the stale esp32-s3-status cron
curl -s -X DELETE "http://localhost:19898/api/agents/cron" \
  -H "Content-Type: application/json" \
  -d '{"agent_id":"waffleson","cron_id":"esp32-s3-status"}' && echo ""

# Verify remaining crons
sqlite3 /mnt/storage/spacebot/data/agents/waffleson/data/spacebot.db \
  "SELECT id, interval_secs, enabled FROM cron_jobs;"


Failed to deserialize query string: missing field `agent_id`
esp32-s3-status|120|1
email-check|300|1


The API is expecting query params or a different body format. Let me check the delete endpoint.

grep -n "delete_cron\|DeleteCron\|agent_id.*cron_id" /mnt/storage/spacebot/repo/src/api/cron.rs | head -10


52:pub(super) struct DeleteCronRequest {
151:                tracing::warn!(%error, agent_id = %query.agent_id, cron_id = %cron_id, "failed to load cron executions");
193:        tracing::warn!(%error, agent_id = %request.agent_id, cron_id = %request.id, "failed to save cron job");
198:        tracing::warn!(%error, agent_id = %request.agent_id, cron_id = %request.id, "failed to register cron job");
209:pub(super) async fn delete_cron(
211:    Query(query): Query<DeleteCronRequest>,
222:        tracing::warn!(%error, agent_id = %query.agent_id, cron_id = %query.cron_id, "failed to delete cron job");
241:        tracing::warn!(%error, agent_id = %request.agent_id, cron_id = %request.cron_id, "failed to trigger cron job");
263:        tracing::warn!(%error, agent_id = %request.agent_id, cron_id = %request.cron_id, "failed to update cron job enabled state");
268:        tracing::warn!(%error, agent_id = %request.agent_id, cron_id = %request.cron_id, "failed to update scheduler enabled state");


The delete endpoint uses Query params (not JSON body). Let me fix the request.

curl -s -X DELETE "http://localhost:19898/api/agents/cron?agent_id=waffleson&cron_id=esp32-s3-status" && echo ""
sleep 1
sqlite3 /mnt/storage/spacebot/data/agents/waffleson/data/spacebot.db \
  "SELECT id, interval_secs, enabled FROM cron_jobs;"


{"success":true,"message":"Cron job 'esp32-s3-status' deleted successfully"}
email-check|300|1


The stale cron is deleted. Now let me check on the new binary's timer tasks. The first email-check should fire at 16:16:08 + 300s = 16:21:08. Let me check what time it is now and if there are any new logs.

Stale cron deleted. Only `email-check` (300s) remains. Let me check the current new-binary status — it should have first auto-tick at 16:21:08:

date && docker logs spacebot --since 5m 2>&1 | grep -v "lance\|index\|flushing\|Training\|plan_run\|dispatching\|uncommitted\|execute\|audit" | tail -20


Fri Feb 20 16:19:05 UTC 2026
Chad is building overnight social media automation using the Pixel 7 Pro. The infrastructure is already solid: `screen-bridge.service` on fred exposes a WebSocket API, and the `pixel` CLI handles tap, swipe, launch, screenshot, and shell commands via SSH (`ssh pixel7pro "zeroclaw status"`).

**Next steps identified:** Install Tasker + AutoInput for reliable accessibility-based control (more dependable than ADB for some apps), connect via Termux:Tasker plugin for programmatic triggers, and set up engagement limits to avoid account bans. Detection avoidance matters—random delays, human-like timing, IP rotation, and aged accounts all help.

**OpenClaw Configuration**
ZeroClaw agent runs MiniMax-M2.5 on the Pixel via api.minimax.io/anthropic. Vision analysis uses `anthropic/claude-haiku-4-5` as primary, with Gemini fallback and local options (Qwen3VL models) when VRAM is available. GLM-5 fallback is configured with specific parameters (temp=0.4, top_p=0.1) to fix tool-calling issues.

**Infrastructure & SSH Access**
Key hosts: localhost, fred (current machine), homeassistant (100.89.114.57), desktop2025 (Windows 11 via Tailscale), and pixel7pro (Termux SSH on port 8022). All use key-based auth.

**Recent Events**
ACE-Step-1.5 was hogging 16.7GB VRAM—binary renamed to `acestep.disabled`, freeing ~45GB total across both GPUs. Agent configs updated across all 11 agents on 2026-02-19. OpenClaw updated to 2026.2.17 with Claude Sonnet 4.6 as default.

**Memory System**

**Group Chat Behavior**
React once per message max. Respond when directly mentioned or can add genuine value; stay silent for casual banter. Don't triple-tap.
[2m2026-02-20T16:16:37.550602Z[0m [32m INFO[0m [1mgenerate_profile[0m[1m{[0m[3magent_id[0m[2m=[0mwaffleson[1m}[0m[2m:[0m [2mspacebot::agent::cortex[0m[2m:[0m cortex generating agent profile
[2m2026-02-20T16:17:00.088561Z[0m [32m INFO[0m [1mgenerate_profile[0m[1m{[0m[3magent_id[0m[2m=[0mwaffleson[1m}[0m[2m:[0m [2mspacebot::agent::cortex[0m[2m:[0m agent profile generated [3mdisplay_name[0m[2m=[0mSome("Waffleson") [3mstatus[0m[2m=[0mSome("building out Chad's phone farm empire") [3mduration_ms[0m[2m=[0m22526
[2m2026-02-20T16:18:59.054921Z[0m [32m INFO[0m [2mspacebot::cron::scheduler[0m[2m:[0m cron job unregistered [3mcron_id[0m[2m=[0mesp32-s3-status


The container started at 16:16:08. The `email-check` cron (300s) should fire at 16:16:08 + 300s = 16:21:08. We're at 16:19:05 right now. Let me wait 2 more minutes and then check.

Also, I notice the cortex bulletin still says "Group Chat Behavior" - but that's the Waffleson cortex's own memory, not the system prompt template. The important thing is that the system prompt template (channel.md.j2) now has the DM-aware skip behavior.

Let me also check if I need to do anything about the `esp32-s3-status` timer task that was still running (from the previous registration).

The logs confirm that `esp32-s3-status` was properly unregistered at 16:18:59. Now I'm waiting for the `email-check` cron to trigger so I can verify the full delivery pipeline is working.

Good — `esp32-s3-status` unregistered at 16:18:59. `email-check` fires at ~16:21:08. Let me also verify the DM fix is in the rendered system prompt by watching what happens when the next Telegram message comes in:

sleep 130 && date && docker logs spacebot --since 135s 2>&1 | grep -v "lance\|index\|flushing\|Training\|plan_run\|dispatching\|uncommitted\|execute\|audit" | tail -15


Command still running (session swift-ocean, pid 2912338). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your account's rate limit. Please try again later."},"request_id":"req_011CYKdLG9SsSs86fj8vYrmi"}


429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your account's rate limit. Please try again later."},"request_id":"req_011CYKdLi3RpG9jSrwLrPeKF"}


429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your account's rate limit. Please try again later."},"request_id":"req_011CYKdMHYonpdjV55TXRaLL"}


429 {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your account's rate limit. Please try again later."},"request_id":"req_011CYKdNBZB5PJm8Xvd2ZDb3"}


System: [2026-02-20 16:17:28 UTC] Check /opt/agentmail/queue/ for new emails addressed to clinker. If there are unread emails (files you haven't processed), read them and respond appropriately. After processing, move the file to /opt/agentmail/processed/ to mark it as handled.
System: [2026-02-20 16:21:24 UTC] Exec completed (swift-oc, code 0) :: nstall ESP32-S3 toolchain if needed (esptool, etc.) 5. Flash the appropriate firmware to the ESP32-S3 Report back: - What COM/TTY port the ESP32-S3 was found on - The chip ID and …
System: [2026-02-20 16:25:39 UTC] Check /opt/agentmail/queue/ for new emails addressed to clinker. If there are unread emails (files you haven't processed), read them and respond appropriately. After processing, move the file to /opt/agentmail/processed/ to mark it as handled.
System: [2026-02-20 16:29:55 UTC] Model switched to anthropic/claude-opus-4-5.

Conversation info (untrusted metadata):
```json
{
  "message_id": "1340",
  "sender": "6558388607"
}
```

Continue


The user wants me to continue. Let me check on the status of the cron job and the DM fix. The email-check cron should have fired by now (it was supposed to fire at 16:21:08).

date && docker logs spacebot --since 10m 2>&1 | grep -E "cron job fir|cron.*deliver|email-check|OutboundText|delivering|telegram.*send" | head -15


no mail