HTTPAPI Working Group | R. Polli |
Internet-Draft | Team Digitale, Italian Government |
Intended status: Standards Track | A. Martinez |
Expires: May 14, 2022 | Red Hat |
November 10, 2021 |
This document defines the RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset fields for HTTP, thus allowing servers to publish current service limits and clients to shape their request policy and avoid being throttled out.¶
RFC EDITOR: please remove this section before publication ¶
Discussion of this draft takes place on the HTTP working group mailing list (httpapi@ietf.org), which is archived at https://mailarchive.ietf.org/arch/browse/httpapi/.¶
The source code and issues list for this draft can be found at https://github.com/ietf-wg-httpapi/ratelimit-headers.¶
References to ThisRFC in the IANA Considerations section would be replaced with the RFC number when assigned.¶
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The widespreading of HTTP as a distributed computation protocol requires an explicit way of communicating service status and usage quotas.¶
This was partially addressed by the Retry-After header field defined in [SEMANTICS] to be returned in 429 Too Many Requests (see [STATUS429]) or 503 Service Unavailable responses.¶
Widely deployed quota mechanisms limit the number of acceptable requests in a given time window, e.g. 10 requests per second; currently, there is no standard way to communicate service quotas so that the client can throttle its requests and prevent 4xx or 5xx responses. See Appendix A for further information on the current usage of rate limiting in HTTP.¶
This document defines syntax and semantics for the following fields:¶
The behavior of RateLimit-Reset is compatible with the delay-seconds notation of Retry-After.¶
The fields definition allows to describe complex policies, including the ones using multiple and variable time windows and dynamic quotas, or implementing concurrency limits.¶
The goals of the RateLimit fields are:¶
The following features are out of the scope of this document:¶
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all capitals, as shown here.¶
This document uses the Augmented BNF defined in [RFC5234] and updated by [RFC7405] along with the "#rule" extension defined in Section 5.6.1 of [SEMANTICS].¶
The terms sf-list, sf-item, sf-string, sf-token, sf-integer, bare-item and key refer to the structured types defined therein.¶
Rate limit policies limit the number of acceptable requests in a given time window.¶
A time window is expressed in seconds, using the following syntax:¶
time-window = delay-seconds delay-seconds = sf-integer
Where delay-seconds is a non-negative sf-integer compatible with the "delay-seconds" rule defined in Section 10.2.3 of [SEMANTICS].¶
Subsecond precision is not supported.¶
The service-limit is a value associated to the maximum number of requests that the server is willing to accept from one or more clients on a given basis (originating IP, authenticated user, geographical, ..) during a time-window as defined in Section 2.1.¶
The service-limit is expressed in quota-units and has the following syntax:¶
service-limit = quota-units quota-units = sf-integer
where quota-units is a non-negative sf-integer.¶
The service-limit SHOULD match the maximum number of acceptable requests.¶
The service-limit MAY differ from the total number of acceptable requests when weight mechanisms, bursts, or other server policies are implemented.¶
If the service-limit does not match the maximum number of acceptable requests the relation with that SHOULD be communicated out-of-band.¶
Example: A server could¶
so that we have the following counters¶
GET /books/123 ; service-limit=4, remaining: 3, status=200 GET /books?author=WuMing ; service-limit=4, remaining: 1, status=200 GET /books?author=Eco ; service-limit=4, remaining: 0, status=429
This specification allows describing a quota policy with the following syntax:¶
quota-policy = sf-item
where the associated bare-item is a service-limit and parameters are supported.¶
The following parameters are defined:¶
Other parameters are allowed and can be regarded as comments. They ought to be registered within the "Hypertext Transfer Protocol (HTTP) RateLimit Parameters Registry", as described in Section 7.1.¶
An example policy of 100 quota-units per minute.¶
100;w=60
The definition of a quota-policy does not imply any specific distribution of quota-units over time. Such service specific details can be conveyed as parameters.¶
Two examples of providing further details via custom parameters¶
100;w=60;comment="fixed window" 12;w=1;burst=1000;policy="leaky bucket"
A server MAY use one or more RateLimit response fields defined in this document to communicate its quota policies.¶
The returned values refers to the metrics used to evaluate if the current request respects the quota policy and MAY not apply to subsequent requests.¶
Example: a successful response with the following fields¶
RateLimit-Limit: 10 RateLimit-Remaining: 1 RateLimit-Reset: 7
does not guarantee that the next request will be successful. Server metrics may be subject to other conditions like the one shown in the example from Section 2.2.¶
A server MAY return RateLimit response fields independently of the response status code. This includes throttled responses.¶
This document does not mandate any correlation between the RateLimit values and the returned status code.¶
Servers should be careful in returning RateLimit fields in redirection responses (e.g. 3xx status codes) because a low RateLimit-Remaining value could prevent the client from issuing requests. For example, given the rate limiting fields below, a client could decide to wait 10 seconds before following the Location header, because RateLimit-Remaining is 0.¶
HTTP/1.1 301 Moved Permanently Location: /foo/123 RateLimit-Remaining: 0 RateLimit-Limit: 10 RateLimit-Reset: 10
If a response contains both the Retry-After and the RateLimit-Reset fields, the value of RateLimit-Reset SHOULD reference the same point in time as Retry-After.¶
When using a policy involving more than one time-window, the server MUST reply with the RateLimit fields related to the window with the lower RateLimit-Remaining values.¶
A service returning RateLimit fields MUST NOT convey values exposing an unwanted volume of requests and SHOULD implement mechanisms to cap the ratio between RateLimit-Remaining and RateLimit-Reset (see Section 6.5); this is especially important when quota-policies use a large time-window.¶
Under certain conditions, a server MAY artificially lower RateLimit field values between subsequent requests, e.g. to respond to Denial of Service attacks or in case of resource saturation.¶
Servers usually establish whether the request is in-quota before creating a response, so the RateLimit field values should be already available in that moment. Nonetheless servers MAY decide to send the RateLimit fields in a trailer section.¶
Servers are not required to return RateLimit fields in every response, and clients need to take this into account. For example, an implementer concerned with performance might provide RateLimit fields only when a given quota is going to expire.¶
A client MUST process the received RateLimit fields.¶
A client MUST validate the values received in the RateLimit fields before using them and check if there are significant discrepancies with the expected ones. This includes a RateLimit-Reset moment too far in the future or a service-limit too high.¶
A client receiving RateLimit fields MUST NOT assume that subsequent responses contain the same RateLimit fields, or any RateLimit fields at all.¶
Malformed RateLimit fields MAY be ignored.¶
A client SHOULD NOT exceed the quota-units expressed in RateLimit-Remaining before the time-window expressed in RateLimit-Reset.¶
A client MAY still probe the server if the RateLimit-Reset is considered too high.¶
The value of RateLimit-Reset is generated at response time: a client aware of a significant network latency MAY behave accordingly and use other information (e.g. the Date response header field, or otherwise gathered metrics) to better estimate the RateLimit-Reset moment intended by the server.¶
The quota-policy values and comments provided in RateLimit-Limit are informative and MAY be ignored.¶
If a response contains both the RateLimit-Reset and Retry-After fields, Retry-After MUST take precedence and RateLimit-Reset MAY be ignored.¶
This specification does not mandate a specific throttling behavior and implementers can adopt their preferred policies, including:¶
This section documents the considerations advised in Section 16.3.2 of [SEMANTICS].¶
An intermediary that is not part of the originating service infrastructure and is not aware of the quota-policy semantic used by the Origin Server SHOULD NOT alter the RateLimit fields' values in such a way as to communicate a more permissive quota-policy; this includes removing the RateLimit fields.¶
An intermediary MAY alter the RateLimit fields in such a way as to communicate a more restrictive quota-policy when:¶
An intermediary SHOULD forward a request even when presuming that it might not be serviced; the service returning the RateLimit fields is the sole responsible of enforcing the communicated quota-policy, and it is always free to service incoming requests.¶
This specification does not mandate any behavior on intermediaries respect to retries, nor requires that intermediaries have any role in respecting quota-policies. For example, it is legitimate for a proxy to retransmit a request without notifying the client, and thus consuming quota-units.¶
As is the ordinary case for HTTP caching ([RFC7234]), a response with RateLimit fields might be cached and re-used for subsequent requests. A cached RateLimit response does not modify quota counters but could contain stale information. Clients interested in determining the freshness of the RateLimit fields could rely on fields such as Date and on the time-window of a quota-policy.¶
The following RateLimit response fields are defined¶
The RateLimit-Limit response field indicates the service-limit associated to the client in the current time-window.¶
If the client exceeds that limit, it MAY not be served.¶
The field is a List Structured Field of positive length. The first member is named expiring-limit and its syntax is service-limit, while the syntax of the other optional members is quota-policy ¶
RateLimit-Limit = sf-list
The expiring-limit value MUST be set to the service-limit that is closer to reach its limit.¶
The quota-policy is defined in Section 2.3, and its values are informative.¶
RateLimit-Limit: 100
A time-window associated to expiring-limit can be communicated via an optional quota-policy value, like shown in the following example¶
RateLimit-Limit: 100, 100;w=10
If the expiring-limit is not associated to a time-window, the time-window MUST either be:¶
Policies using multiple quota limits MAY be returned using multiple quota-policy items, like shown in the following two examples:¶
RateLimit-Limit: 10, 10;w=1, 50;w=60, 1000;w=3600, 5000;w=86400 RateLimit-Limit: 10, 10;w=1;burst=1000, 1000;w=3600
This field MUST NOT occur multiple times and can be sent in a trailer section.¶
The RateLimit-Remaining response field indicates the remaining quota-units defined in Section 2.2 associated to the client.¶
The field is an Integer Structured Field and its value is¶
RateLimit-Remaining = quota-units
This field MUST NOT occur multiple times and can be sent in a trailer section.¶
Clients MUST NOT assume that a positive RateLimit-Remaining value is a guarantee that further requests will be served.¶
A low RateLimit-Remaining value is like a yellow traffic-light for either the number of requests issued in the time-window or the request throughput: the red light may arrive suddenly (see Section 3).¶
One example of RateLimit-Remaining use is below.¶
RateLimit-Remaining: 50
The RateLimit-Reset response field indicates either¶
The field is an Integer Structured Field and its value is¶
RateLimit-Reset = delay-seconds
The delay-seconds format is used because:¶
This field MUST NOT occur multiple times and can be sent in a trailer section.¶
An example of RateLimit-Reset use is below.¶
RateLimit-Reset: 50
The client MUST NOT assume that all its service-limit will be restored after the moment referenced by RateLimit-Reset. The server MAY arbitrarily alter the RateLimit-Reset value between subsequent requests e.g. in case of resource saturation or to implement sliding window policies.¶
This specification does not prevent clients to make over-quota requests.¶
Servers should always implement mechanisms to prevent resource exhaustion.¶
Servers should not disclose to untrusted parties operational capacity information that can be used to saturate its infrastructural resources.¶
While this specification does not mandate whether non 2xx responses consume quota, if 401 and 403 responses count on quota a malicious client could probe the endpoint to get traffic information of another user.¶
As intermediaries might retransmit requests and consume quota-units without prior knowledge of the User Agent, RateLimit fields might reveal the existence of an intermediary to the User Agent.¶
RateLimit-* fields convey hints from the server to the clients in order to avoid being throttled out.¶
Clients MUST NOT consider the quota-units returned in RateLimit-Remaining as a service level agreement.¶
In case of resource saturation, the server MAY artificially lower the returned values or not serve the request regardless of the advertised quotas.¶
Consider that service-limit may not be restored after the moment referenced by RateLimit-Reset, and the RateLimit-Reset value should not be considered fixed nor constant.¶
Subsequent requests may return a higher RateLimit-Reset value to limit concurrency or implement dynamic or adaptive throttling policies.¶
When returning RateLimit-Reset you must be aware that many throttled clients may come back at the very moment specified.¶
This is true for Retry-After too.¶
For example, if the quota resets every day at 18:00:00 and your server returns the RateLimit-Reset accordingly¶
Date: Tue, 15 Nov 1994 08:00:00 GMT RateLimit-Reset: 36000
there's a high probability that all clients will show up at 18:00:00.¶
This could be mitigated by adding some jitter to the field-value.¶
Resource exhaustion issues can be associated with quota policies using a large time-window, because a user agent by chance or on purpose might consume most of its quota-units in a significantly shorter interval.¶
This behavior can be even triggered by the provided RateLimit fields. The following example describes a service with an unconsumed quota-policy of 10000 quota-units per 1000 seconds.¶
RateLimit-Limit: 10000, 10000;w=1000 RateLimit-Remaining: 10000 RateLimit-Reset: 10
A client implementing a simple ratio between RateLimit-Remaining and RateLimit-Reset could infer an average throughput of 1000 quota-units per second, while RateLimit-Limit conveys a quota-policy with an average of 10 quota-units per second. If the service cannot handle such load, it should return either a lower RateLimit-Remaining value or an higher RateLimit-Reset value. Moreover, complementing large time-window quota-policies with a short time-window one mitigates those risks.¶
RateLimit fields may assume unexpected values by chance or purpose. For example, an excessively high RateLimit-Remaining value may be:¶
or an high RateLimit-Reset value could inhibit clients to contact the server.¶
Clients MUST validate the received values to mitigate those risks.¶
IANA is requested to update one registry and create one new registry.¶
Please add the following entries to the "Hypertext Transfer Protocol (HTTP) Field Name Registry" registry ([SEMANTICS]):¶
Field Name | Status | Specification |
---|---|---|
RateLimit-Limit | permanent | Section 5.1 of ThisRFC |
RateLimit-Remaining | permanent | Section 5.2 of ThisRFC |
RateLimit-Reset | permanent | Section 5.3 of ThisRFC |
IANA is requested to create a new registry to be called "Hypertext Transfer Protocol (HTTP) RateLimit Parameters Registry", to be located at https://www.iana.org/assignments/http-ratelimit-parameters. Registration is done on the advice of a Designated Expert, appointed by the IESG or their delegate. All entries are Specification Required ([IANA], Section 4.6).¶
Registration requests consist of the following information:¶
The initial contents of this registry should be:¶
Field Name | Parameter name | Description | Specification | Comments (optional) |
---|---|---|---|---|
RateLimit-Limit | w | Time window | Section 2.3 of ThisRFC |
Servers use quota mechanisms to avoid systems overload, to ensure an equitable distribution of computational resources or to enforce other policies - e.g. monetization.¶
A basic quota mechanism limits the number of acceptable requests in a given time window, e.g. 10 requests per second.¶
When quota is exceeded, servers usually do not serve the request replying instead with a 4xx HTTP status code (e.g. 429 or 403) or adopt more aggressive policies like dropping connections.¶
Quotas may be enforced on different basis (e.g. per user, per IP, per geographic area, ..) and at different levels. For example, an user may be allowed to issue:¶
Moreover system metrics, statistics and heuristics can be used to implement more complex policies, where the number of acceptable requests and the time window are computed dynamically.¶
To help clients throttling their requests, servers may expose the counters used to evaluate quota policies via HTTP header fields.¶
Those response headers may be added by HTTP intermediaries such as API gateways and reverse proxies.¶
On the web we can find many different rate-limit headers, usually containing the number of allowed requests in a given time window, and when the window is reset.¶
The common choice is to return three headers containing:¶
A major interoperability issue in throttling is the lack of standard headers, because:¶
User Agents interfacing with different servers may thus need to process different headers, or the very same application interface that sits behind different reverse proxies may reply with different throttling headers.¶
The client exhausted its service-limit for the next 50 seconds. The time-window is communicated out-of-band or inferred by the field values.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 100 Ratelimit-Remaining: 0 Ratelimit-Reset: 50 {"hello": "world"}
Since the field values are not necessarily correlated with the response status code, a subsequent request is not required to fail. The example below shows that the server decided to serve the request even if RateLimit-Remaining is 0. Another server, or the same server under other load conditions, could have decided to throttle the request instead.¶
Request:¶
GET /items/456 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 100 Ratelimit-Remaining: 0 Ratelimit-Reset: 48 {"still": "successful"}
The server uses two custom fields, namely acme-RateLimit-DayLimit and acme-RateLimit-HourLimit to expose the following policy:¶
The client consumed 4900 quota-units in the first 14 hours.¶
Despite the next hourly limit of 1000 quota-units, the closest limit to reach is the daily one.¶
The server then exposes the RateLimit-* fields to inform the client that:¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json acme-RateLimit-DayLimit: 5000 acme-RateLimit-HourLimit: 1000 RateLimit-Limit: 5000 RateLimit-Remaining: 100 RateLimit-Reset: 36000 {"hello": "world"}
Throttling fields may be used to limit concurrency, advertising limits that are lower than the usual ones in case of saturation, thus increasing availability.¶
The server adopted a basic policy of 100 quota-units per minute, and in case of resource exhaustion adapts the returned values reducing both RateLimit-Limit and RateLimit-Remaining.¶
After 2 seconds the client consumed 40 quota-units¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 100 RateLimit-Remaining: 60 RateLimit-Reset: 58 {"elapsed": 2, "issued": 40}
At the subsequent request - due to resource exhaustion - the server advertises only RateLimit-Remaining: 20.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 100 RateLimit-Remaining: 20 RateLimit-Reset: 56 {"elapsed": 4, "issued": 41}
A client exhausted its quota and the server throttles it sending Retry-After.¶
In this example, the values of Retry-After and RateLimit-Reset reference the same moment, but this is not a requirement.¶
The 429 Too Many Requests HTTP status code is just used as an example.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 429 Too Many Requests Content-Type: application/json Date: Mon, 05 Aug 2019 09:27:00 GMT Retry-After: Mon, 05 Aug 2019 09:27:05 GMT RateLimit-Reset: 5 RateLimit-Limit: 100 Ratelimit-Remaining: 0 { "title": "Too Many Requests", "status": 429, "detail": "You have exceeded your quota" }
The client has 99 quota-units left for the next 50 seconds. The time-window is communicated by the w parameter, so we know the throughput is 100 quota-units per minute.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 100, 100;w=60 Ratelimit-Remaining: 99 Ratelimit-Reset: 50 {"hello": "world"}
The policy conveyed by RateLimit-Limit states that the server accepts 100 quota-units per minute.¶
To avoid resource exhaustion, the server artificially lowers the actual limits returned in the throttling headers.¶
The RateLimit-Remaining then advertises only 9 quota-units for the next 50 seconds to slow down the client.¶
Note that the server could have lowered even the other values in RateLimit-Limit: this specification does not mandate any relation between the field values contained in subsequent responses.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 10, 100;w=60 Ratelimit-Remaining: 9 Ratelimit-Reset: 50 { "status": 200, "detail": "Just slow down without waiting." }
Continuing the previous example, let's say the client waits 10 seconds and performs a new request which, due to resource exhaustion, the server rejects and pushes back, advertising RateLimit-Remaining: 0 for the next 20 seconds.¶
The server advertises a smaller window with a lower limit to slow down the client for the rest of its original window after the 20 seconds elapse.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 429 Too Many Requests Content-Type: application/json RateLimit-Limit: 0, 15;w=20 Ratelimit-Remaining: 0 Ratelimit-Reset: 20 { "status": 429, "detail": "Wait 20 seconds, then slow down!" }
Alternatively, given the same context where the previous example starts, we can convey the same information to the client via Retry-After, with the advantage that the server can now specify the policy's nominal limit and window that will apply after the reset, e.g. assuming the resource exhaustion is likely to be gone by then, so the advertised policy does not need to be adjusted, yet we managed to stop requests for a while and slow down the rest of the current window.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 429 Too Many Requests Content-Type: application/json Retry-After: 20 RateLimit-Limit: 15, 100;w=60 Ratelimit-Remaining: 15 Ratelimit-Reset: 40 { "status": 429, "detail": "Wait 20 seconds, then slow down!" }
Note that in this last response the client is expected to honor Retry-After and perform no requests for the specified amount of time, whereas the previous example would not force the client to stop requests before the reset time is elapsed, as it would still be free to query again the server even if it is likely to have the request rejected.¶
The server does not expose RateLimit-Remaining values (for example, because the underlying counters are not available). Instead, it resets the limit counter every second.¶
It communicates to the client the limit of 10 quota-units per second always returning the couple RateLimit-Limit and RateLimit-Reset.¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 10 Ratelimit-Reset: 1 {"first": "request"}
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 Ok Content-Type: application/json RateLimit-Limit: 10 Ratelimit-Reset: 1 {"second": "request"}
This is a standardized way of describing the policy detailed in Appendix B.1.2:¶
The client consumed 4900 quota-units in the first 14 hours.¶
Despite the next hourly limit of 1000 quota-units, the closest limit to reach is the daily one.¶
The server then exposes the RateLimit fields to inform the client that:¶
Request:¶
GET /items/123 HTTP/1.1 Host: api.example
Response:¶
HTTP/1.1 200 OK Content-Type: application/json RateLimit-Limit: 5000, 1000;w=3600, 5000;w=86400 RateLimit-Remaining: 100 RateLimit-Reset: 36000 {"hello": "world"}
Thanks to Willi Schoenborn, Alejandro Martinez Ruiz, Alessandro Ranellucci, Amos Jeffries, Martin Thomson, Erik Wilde and Mark Nottingham for being the initial contributors of these specifications. Kudos to the first community implementers: Aapo Talvensaari, Nathan Friedly and Sanyam Dogra.¶
RateLimit-Limit: 100 RateLimit-Remaining: 50 RateLimit-Reset: 60
The key runtime value is the first element of the list: expiring-limit, the others quota-policy are informative. So for the following field:¶
RateLimit-Limit: 100, 100;w=60;burst=1000;comment="sliding window", 5000;w=3600;burst=0;comment="fixed window"
the key value is the one referencing the lowest limit: 100 ¶
The most common syntax we found on the web is X-RateLimit-* and when starting this I-D we opted for it ¶
The basic form of those fields is easily parseable, even by implementers processing responses using technologies like dynamic interpreter with limited syntax.¶
Using a single field complicates parsing and takes a significantly different approach from the existing ones: this can limit adoption.¶
RFC Editor: Please remove this section before publication. ¶
Commonly used header field names are:¶
There are variants too, where the window is specified in the header field name, eg:¶
Here are some interoperability issues:¶
The semantic of RateLimit-Remaining depends on the windowing algorithm. A sliding window policy for example may result in having a RateLimit-Remaining value related to the ratio between the current and the maximum throughput. e.g.¶
RateLimit-Limit: 12, 12;w=1 RateLimit-Remaining: 6 ; using 50% of throughput, that is 6 units/s RateLimit-Reset: 1
If this is the case, the optimal solution is to achieve¶
RateLimit-Limit: 12, 12;w=1 RateLimit-Remaining: 1 ; using 100% of throughput, that is 12 units/s RateLimit-Reset: 1
At this point you should stop increasing your request rate.¶
RFC Editor: Please remove this section before publication. ¶