Usage limits

Because the Google Chat API is a shared service, we apply quotas and limitations to make sure that it's used fairly by all users and to protect the overall performance of Google Workspace.

If you exceed a quota, you'll receive a 429: Too many requests HTTP status code response. Additional rate limit checks on the Chat backend might also generate the same error response. If this error happens, you should use an exponential backoff algorithm and try again later. As long as you stay within the per-minute quotas listed in the following tables, there's no limit to the number of requests you can make per day.

Two quota types apply to Chat API methods: per-space and per-project quotas.

Per-space quotas

Per-space quotas limit the rate of queries in a given space and are shared among all Chat apps acting in that space calling the listed Chat API methods for each quota.

The following table details per-space query limits:

Per-space Quota

Chat API methods

Limit (per 60 seconds, shared
among all Chat apps in the space)

Reads per minute

media.download

spaces.get

spaces.members.get

spaces.members.list

spaces.messages.get

spaces.messages.list

spaces.messages.attachments.get

spaces.messages.reactions.list

900

Writes per minute

media.upload

spaces.delete

spaces.patch

spaces.messages.create (also applies to incoming webhooks)

spaces.messages.delete

spaces.messages.patch

spaces.messages.reactions.create

spaces.messages.reactions.delete

60

Per-project quotas

Per-project quotas limit the rate of queries for a Google Cloud project, and thus apply to a single Chat app calling the specified Chat API methods for each quota.

The following table details per-project query limits. You can also find these limits on the Quotas page.

Per-project Quota

Chat API methods

Limit (per 60 seconds)

Message writes per minute

spaces.messages.create

spaces.messages.patch

spaces.messages.delete

3000

Message reads per minute

spaces.messages.get

spaces.messages.list

3000

Membership writes per minute

spaces.members.create

spaces.members.delete

300

Membership reads per minute

spaces.members.get

spaces.members.list

3000

Space writes per minute

spaces.setup

spaces.create

spaces.patch

spaces.delete

60

Space reads per minute

spaces.get

spaces.list

spaces.findDirectMessage

3000

Attachment writes per minute

media.upload

600

Attachment reads per minute

spaces.messages.attachments.get

media.download

3000

Reaction writes per minute

spaces.messages.reactions.create

spaces.messages.reactions.delete

600

Reaction reads per minute

spaces.messages.reactions.list

3000

Additional usage limits

There are additional quota limits for creating spaces of type GROUP_CHAT or SPACE (by using either the spaces.create or the spaces.setup method). Create less than 35 spaces per minute and 210 spaces per hour of these types. Spaces of type DIRECT_MESSAGE aren't subject to these additional quota limits.

Large queries per second (QPS) of any API targeting the same space can trigger additional internal limits that aren't visible in the Quotas page.

Resolve time-based quota errors

For all time-based errors (maximum of N requests per X minutes), we recommend your code catches the exception and uses a truncated exponential backoff to make sure your devices don't generate excessive load.

Exponential backoff is a standard error handling strategy for network applications. An exponential backoff algorithm retries requests using exponentially increasing wait times between requests, up to a maximum backoff time. If requests are still unsuccessful, it's important that the delays between requests increase over time until the request is successful.

Example algorithm

An exponential backoff algorithm retries requests exponentially, increasing the wait time between retries up to a maximum backoff time. For example:

  1. Make a request to Google Chat API.
  2. If the request fails, wait 1 + random_number_milliseconds and retry the request.
  3. If the request fails, wait 2 + random_number_milliseconds and retry the request.
  4. If the request fails, wait 4 + random_number_milliseconds and retry the request.
  5. And so on, up to a maximum_backoff time.
  6. Continue waiting and retrying up to some maximum number of retries, but don't increase the wait period between retries.

where:

  • The wait time is min(((2^n)+random_number_milliseconds), maximum_backoff), with n incremented by 1 for each iteration (request).
  • random_number_milliseconds is a random number of milliseconds less than or equal to 1,000. This helps to avoid cases in which many clients are synchronized by some situation and all retry at once, sending requests in synchronized waves. The value of random_number_milliseconds is recalculated after each retry request.
  • maximum_backoff is typically 32 or 64 seconds. The appropriate value depends on the use case.

The client can continue retrying after it has reached the maximum_backoff time. Retries after this point don't need to continue increasing backoff time. For example, if a client uses a maximum_backoff time of 64 seconds, then after reaching this value, the client can retry every 64 seconds. At some point, clients should be prevented from retrying indefinitely.

The wait time between retries and the number of retries depend on your use case and network conditions.

Request a per-project quota increase

Depending on your project's resource usage, you might want to request a quota increase. API calls by a service account are considered to be using a single account. Applying for an increased quota doesn't guarantee approval. Large quota increases can take longer to be approved.

Not all projects have the same quotas. As you increasingly use Google Cloud over time, your quotas might need to increase. If you expect a notable upcoming increase in usage, you can proactively request quota adjustments from the Quotas page in the Google Cloud console.

To learn more, see the following resources: