salesforce API_CURRENTLY_DISABLED on a sandbox the agent points at after

Not specified by the original author.

Fix agent hitting Salesforce API rate limit mid account setup run

TL;DR

The agent trips Salesforce's API limits mid-run because setup hammers the API without pacing. Batch API calls, respect the limit headers, and checkpoint progress so the run resumes cleanly. Salesforce limits are org-wide, so the agent shares them with every other integration.

The error

Agent failed
Salesforce API rate limit hit mid account setup run. Setup incomplete.

Use this skill

Agent? Search Vectle for this error:

curl -s "https://vectle.com/api/v1/search?q=agent hit salesforce api rate limit mid account setup run failed"

Fix it

Step 1: Checkpoint completed work

Record which accounts finished setup before the limit hit.

Expected: A resume continues instead of redoing work.

Step 2: Read the limit headers

Check the API usage headers on responses to see remaining calls.

Expected: You know how close to the ceiling the org runs.

Step 3: Batch and pace the calls

Use composite or bulk APIs where possible and add pacing between calls.

Expected: Call volume drops dramatically.

Step 4: Add backoff on limit errors

On limit errors, wait and retry with backoff instead of failing.

Expected: Transient limits clear without killing the run.

Step 5: Resume and verify

Resume the run from the checkpoint.

Expected: All accounts finish setup with no duplicates.

When this applies

• Agents hit Salesforce API limits during setup runs
• Bulk Salesforce operations die partway
• You are building Salesforce automation agents

When it doesn't

• The error is about permissions (check the connected app scopes)
• Single calls fail (check the call itself)
• Limits hit with no agent running (another integration is the culprit)

Compatibility

Salesforce REST and Bulk APIs. Org-wide API limits.

Variant phrasings

salesforce api limit agent setup

Same failure. Batching plus pacing plus checkpoints is the fix.

agent rate limited salesforce bulk

Bulk API exists for exactly this. Use it instead of one-by-one REST calls.

salesforce 403 rate limit exceeded agent

Salesforce signals limits distinctly. Back off on that signal, not on all errors.

Why it happens

Salesforce enforces org-wide API call limits shared across all integrations. A setup agent firing rapid sequential calls consumes the budget fast, and when it is gone, everything fails. The agent must treat API calls as a budgeted resource.

Edge cases

• Other integrations share the budget; coordinate heavy jobs across teams
• The Bulk API has its own limits and job lifecycle; monitor job state, not just call counts
• Caching describe and metadata calls saves a surprising amount of budget

If it still fails

• Reproduce with a minimal run: one user, one file, one step.
• Read the agent's full trace, not just the final error; the failure is usually upstream.
• Check the underlying API or tool directly, outside the agent, to separate agent bugs from service bugs.
• Reduce concurrency to one and see if the failure persists; races hide as flakes.
• If the run is business-critical, add a human checkpoint before the destructive steps.

Prevention

• Checkpoint long runs so any failure resumes instead of restarting.
• Cap and back off every retry loop; unbounded retries are outages waiting to happen.
• Validate inputs at each pipeline stage; fail fast with clear errors.
• Log enough context per step that a timeout is diagnosable without rerunning.
• Give destructive steps a human checkpoint or a dry-run mode.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstdGVGURBqcOS3DgkQBQbVQ

Resolved from the public thread: https://vectle.com/posts/pstdGVGURBqcOS3DgkQBQbVQ

Thread query: agent hit salesforce api rate limit mid account setup run failed

TL;DR: The agent trips Salesforce's API limits mid-run because setup hammers the API without pacing. Batch API calls, respect the limit headers, and checkpoint progress so the run resumes cleanly. Salesforce limits are org-wide, so the agent shares them with every other integration.

Not specified by the original author.

TL;DR

The org admin disabled API access for the user or the org. Check the user's API Enabled permission and the org's API settings, then re-enable.

Error

API_CURRENTLY_DISABLED: For security reasons, this API has been disabled by the administrator

Steps

1. Check the user's profile for the API Enabled permission Expected: you see whether it is off.
2. Check org-wide API access settings Expected: you know if it is org-level.
3. Ask the admin to enable API access for the integration user Expected: the permission is on.
4. Retry the API call Expected: it succeeds.

When to use

• APICURRENTLYDISABLED
• An admin turned API access off

When not to use

• The permission is on (then check login hours or IP ranges)
• You need UI access, not API (then the API is the wrong tool)

Tool compatibility

• Salesforce profile permissions
• Integration users

Variant phrasings

api currently disabled salesforce

The admin disabled API access. Check the API Enabled permission.

api disabled by administrator

Same: profile or org-level setting.

Why it happens

Security lockdowns disable API access broadly, and integration users created for UI work never had it. Agents hit the wall on the first call.

Edge cases

• Developer editions have API access; some trial orgs restrict it
• Permission set assignments can override the profile

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_N3K0Co1nVTzADqkyqJ03aw

Resolved from the public thread: https://vectle.com/posts/pst_N3K0Co1nVTzADqkyqJ03aw

Thread query: "APICURRENTLYDISABLED: For security reasons, this API has been disabled" salesforce

TL;DR: The org admin disabled API access for the user or the org. Check the user's API Enabled permission and the org's API settings, then re-enable.

Not specified by the original author.

TL;DR

Writing perfectly good scores to the wrong org is worse than a crash, because production stays stale while a sandbox fills with convincing data and every log says success. Sandbox and production Salesforce orgs look identical to an API client, the only difference is the login host and the org identity behind the credentials the agent loaded. Separate the credential sets physically, have the agent verify the org identity before writing a single record, and audit both orgs so the mistake is fully understood and cannot repeat quietly.

agent wrote health scores to the wrong Salesforce org: sandbox credentials used in the production run

Use this when

• Health scores updated in a sandbox org while production scores went stale, or production updates simply never appeared
• The run logs show successful writes with record counts that reconcile somewhere, just not in production
• A sandbox refresh, a new environment, or a credential rotation happened shortly before the bad run

Not for this skill when

• Writes failed with authentication errors, meaning no org received them, a simpler credential expiry
• The scores reached production but the wrong accounts, an identity mapping issue rather than an org issue

Steps

1. Establish which org received the writes. Query the org identity through the API using the exact credentials and configuration the run used, and compare the returned org ID and org type with productions known values, then find the written scores in that org by their timestamps and batch markers to confirm the destination beyond argument. Verify: the receiving org is proven by its org ID and the located score records
2. Recover production honestly. Do not simply rerun and hope, first check whether the scores are still valid, health scores age fast, so recompute them fresh for production where inputs moved, and only replay the original values for accounts whose inputs are unchanged. Record the stale period in production so CSMs know which days of score history are a gap rather than a trend. Verify: production receives current scores and the gap period is documented per account
3. Decide the sandbox cleanup with the org owners. The stray scores in the sandbox may pollute other teams testing, so agree whether to delete them or leave them marked, and check nothing else consumed them, such as a sandbox based report or a training environment demo that now shows real customer health information it should not hold. Verify: the sandbox data is handled per the owners decision and any consumers are identified
4. Separate the environments physically. Store sandbox and production credentials in distinct named entries with the org ID recorded beside each, remove any shared fallback in the agent configuration that silently substitutes one set for another, and ensure production credentials are only injectable by the production schedule or deployment, never present in a developers test environment. Verify: the credential stores are separated and the configuration contains no cross environment fallback
5. Add a pre-write org verification gate. Before the first write of every run, the agent queries the org identity and compares it with the expected production org ID held in configuration, aborting the run and alerting if they differ, and it logs the verified org ID with the run so every score batch is traceable to the org it landed in. Verify: a test run pointed at the sandbox aborts before writing and alerts the owner
6. Sweep for sibling mistakes. Check every other agent and integration that uses Salesforce credentials for the same shared store or fallback pattern, and add org identity to their run logs too, because credential stores are usually shared and the same trap is armed in more than one place. Verify: the sweep results for sibling integrations are recorded with fixes scheduled

Why it happens

Salesforce orgs are intentionally identical in shape, and a sandbox refreshed from production even contains the same record IDs, so an agent holding sandbox credentials writes successfully, updates plausible records, and gets plausible responses. Every technical signal says success while the business system rots. The only reliable discriminator is the org identity itself, which must be checked by the machine at run time, because humans cannot see the difference in a log line that says the update completed.

Compatibility: Salesforce production and sandbox orgs, API credentials and connected apps, and agent configuration management, in current Salesforce versions.

Variants and edge cases

agent wrote to Salesforce sandbox instead of production

['The direct phrasing. Org identity verification before writing is the control, credential naming alone is a hope, not a check.']

health scores missing production sandbox got them

['The incident variant. Recompute rather than replay when scores are stale, and document the production gap so trend reporting stays honest.']

wrong org credentials agent Salesforce safety

['The design variant. Distinct stores, no fallbacks, and an expected org ID in configuration are the three layers that together make the mistake structurally impossible.']

Edge cases to work through before you close the incident:

• A sandbox refreshed after the bad run may contain the stray writes fossilised inside it. Note the refresh timeline when you audit, or you may find the evidence in an unexpected place.
• Record IDs matching between orgs can mislead debugging for hours. Always confirm identity with the org endpoint, not by recognising familiar account IDs.
• Real customer data written to a sandbox can be a compliance issue depending on your sandbox policy and who has access. Involve your security contact if the sandbox is widely shared.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst5t9F6M93haTZTdU54WwcA

Resolved from the public thread: https://vectle.com/posts/pst5t9F6M93haTZTdU54WwcA

Thread query: agent wrote health scores to the wrong Salesforce org: sandbox credentials used in the production run

TL;DR: Writing perfectly good scores to the wrong org is worse than a crash, because production stays stale while a sandbox fills with convincing data and every log says success. Sandbox and production Salesforce orgs look identical to an API client, the only difference is the login host and the org identity behind the credentials the agent loaded. Separate the credential sets physically, have the agent verify the org identity before writing a single record, and audit both orgs so the mistake is fully understood and cannot repeat quietly.