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Default Workspaces and Where New Agents Land

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Every Agent Account you create lands in a workspace — the only question is whether you picked it or the platform did:




CODE
curl --request POST \
--url "https://api.us.nylas.com/v3/connect/custom" \
--header "Authorization: Bearer <NYLAS_API_KEY>" \
--header "Content-Type: application/json" \
--data '{
"provider": "nylas",
"workspace_id": "<WORKSPACE_ID>",
"settings": {
"email": "[email protected]"
}
}'







That top-level workspace_id is optional, and what happens when you omit it is one of the more under-read parts of the Nylas suggest one workspace per agent archetype — your sales-outreach agents and your support-triage agents want different send limits and spam tolerances, so give each group its own workspace rather than one catch-all.






Moving an account after the fact



Placement isn't permanent. An account that landed in the default workspace can be moved with a single grant update:




CODE
curl --request PATCH \
--url "https://api.us.nylas.com/v3/grants/<NYLAS_GRANT_ID>" \
--header "Authorization: Bearer <NYLAS_API_KEY>" \
--header "Content-Type: application/json" \
--data '{
"workspace_id": "<WORKSPACE_ID>"
}'







From that point the account picks up the new workspace's policy and rules. This makes a "graduate the agent" workflow trivial: prototype in the default workspace, then PATCH it into the production workspace — with its stricter outbound rules and tuned spam sensitivity — when it's ready.






Checking what an account actually inherited



Inheritance is invisible until something gets blocked or routed, so the platform keeps receipts. Every rule evaluation — inbound message, SMTP envelope, or outbound send — writes an audit record you can read per grant:




CODE
curl --request GET \
--url "https://api.us.nylas.com/v3/grants/<NYLAS_GRANT_ID>/rule-evaluations?limit=50" \
--header "Authorization: Bearer <NYLAS_API_KEY>"






Each record names the evaluation stage (smtp_rcpt for messages rejected before acceptance, inbox_processing for post-acceptance evaluation, outbound_send for send-time checks), the matched rule IDs, and the actions applied. If an account is sitting in the wrong workspace, this endpoint is usually where you find out — the rules you expected to match never show up in matched_rule_ids.



One subtlety worth internalizing: rule evaluation fails closed. If a block rule can't be evaluated because of a transient infrastructure error, the message is blocked rather than let through — surfaced as a retryable 503 on sends or an SMTP 451 tempfail inbound, with blocked_by_evaluation_error: true on the audit record so you can tell an outage from a genuine match.






A sane starting configuration



If you're setting this up fresh (the quickstart gets you a working account in under 5 minutes), here's the order that avoids surprises:




  1. Create a baseline policy with conservative limits:




CODE
   curl --request POST \
--url "https://api.us.nylas.com/v3/policies" \
--header "Authorization: Bearer <NYLAS_API_KEY>" \
--header "Content-Type: application/json" \
--data '{
"name": "Baseline Agent Policy",
"limits": {
"limit_attachment_size_limit": 26214400,
"limit_attachment_count_limit": 20,
"limit_inbox_retention_period": 365,
"limit_spam_retention_period": 30
},
"spam_detection": {
"use_list_dnsbl": true,
"use_header_anomaly_detection": true,
"spam_sensitivity": 1.0
}
}'







Every limit is optional — omit one and it defaults to your plan's maximum, while a value above the plan maximum is rejected with an error. Two tuning notes from the docs: start spam_sensitivity at 1.0 and adjust from observed behavior, and keep limit_spam_retention_period shorter than limit_inbox_retention_period so spam clears out ahead of the inbox.




  1. Attach it to the default workspace (PATCH with policy_id) so strays are covered.

  2. Create one workspace per agent type, each with its own policy and rules. Enable auto_group with a domain if your agent types map cleanly to domains.

  3. Pass workspace_id explicitly in your provisioning code anyway — auto-grouping is a backstop, not a substitute for being intentional.



The whole model rewards thinking about workspaces before you scale account creation, because retrofitting placement across hundreds of grants means a hundred PATCH calls.



Next step: list your current grants, check which workspace each actually sits in, and ask whether the default workspace has a policy attached. If the answer is "no policy," your unassigned agents are running at plan maximums right now — is that what you intended?

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