Dontopedia

fastapi-limiter

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

fastapi-limiter has 31 facts recorded in Dontopedia across 8 references, with 5 live disagreements.

31 facts·16 predicates·8 sources·5 in dispute

Mostly:rdf:type(6), provides(5), depends on(2)

Maturity scale raw canonical shape-checked rule-derived certified

Full NamefullName

  • FastAPILimiter[3]all time · 7cca7064 95fc 4477 Ae69 B8062eb1e4c9

Inbound mentions (8)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

usesUses(3)

dependsOnDepends on(1)

implementedByImplemented by(1)

initializesInitializes(1)

initializes-withInitializes With(1)

providedByProvided by(1)

Other facts (26)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

26 facts
PredicateValueRef
Rdf:typePython Package[2]
Rdf:typePython Class[3]
Rdf:typePython Library[4]
Rdf:typeLibrary Class[5]
Rdf:typeLibrary[6]
Rdf:typeLibrary[7]
ProvidesRate Limiter Dependency[1]
ProvidesFastapi Limiter Class[4]
ProvidesFast Api Limiter[7]
ProvidesRate Limiter[7]
ProvidesRate Limiting Service[8]
Depends onRedis[1]
Depends onFastapi[4]
Used byRate Limiter[7]
Used byRate Limiter Depends[7]
IsPython Library[1]
Initialized WithRedis Connection[1]
Is Used byEndpoint Configuration[1]
Used forRate Limiting[2]
Installation Commandpip install fastapi-limiter[2]
Solution forRate Limiting Need[2]
EnablesRate Limiting Feature[2]
Has MethodInit[3]
UsesRedis[5]
Ex:import ItemFastAPILimiter[6]
Class TypeFast Api Limiter[8]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

isbeam/805f1f64-381b-4b25-8a62-a8d574bf54cf
ex:python-library
initialized-withbeam/805f1f64-381b-4b25-8a62-a8d574bf54cf
ex:redis-connection
isUsedBybeam/805f1f64-381b-4b25-8a62-a8d574bf54cf
ex:endpoint-configuration
dependsOnbeam/805f1f64-381b-4b25-8a62-a8d574bf54cf
ex:redis
providesbeam/805f1f64-381b-4b25-8a62-a8d574bf54cf
ex:rate-limiter-dependency
typebeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
ex:PythonPackage
labelbeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
fastapi-limiter
usedForbeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
ex:rate-limiting
installationCommandbeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
pip install fastapi-limiter
solutionForbeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
ex:rate-limiting-need
enablesbeam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
ex:rate-limiting-feature
typebeam/7cca7064-95fc-4477-ae69-b8062eb1e4c9
ex:PythonClass
fullNamebeam/7cca7064-95fc-4477-ae69-b8062eb1e4c9
FastAPILimiter
hasMethodbeam/7cca7064-95fc-4477-ae69-b8062eb1e4c9
ex:init
typebeam/97bcbf7d-12a7-434d-a0bf-c6fb8a595eb9
ex:python-library
providesbeam/97bcbf7d-12a7-434d-a0bf-c6fb8a595eb9
ex:fastapi-limiter-class
dependsOnbeam/97bcbf7d-12a7-434d-a0bf-c6fb8a595eb9
ex:fastapi
usesbeam/5fd1334d-d15d-4873-b3e0-e54e47612682
ex:redis
typebeam/5fd1334d-d15d-4873-b3e0-e54e47612682
ex:LibraryClass
labelbeam/5fd1334d-d15d-4873-b3e0-e54e47612682
FastAPI Rate Limiter
typebeam/cc2498f1-82b7-42fe-8f41-0d8269d6d87e
ex:Library
labelbeam/cc2498f1-82b7-42fe-8f41-0d8269d6d87e
FastAPI Limiter
importItembeam/cc2498f1-82b7-42fe-8f41-0d8269d6d87e
FastAPILimiter
typebeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
ex:Library
labelbeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
FastAPI Limiter
providesbeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
ex:FastAPILimiter
providesbeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
ex:RateLimiter
usedBybeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
ex:rate-limiter
usedBybeam/7cd71c6c-40cf-461f-aac3-8d102300ed38
ex:rate-limiter-depends
classTypebeam/107ad967-64ea-4467-97bc-19767764b900
ex:FastAPILimiter
providesbeam/107ad967-64ea-4467-97bc-19767764b900
ex:rate-limiting-service

References (8)

8 references
  1. ctx:claims/beam/805f1f64-381b-4b25-8a62-a8d574bf54cf
    • full textbeam-chunk
      text/plain1 KBdoc:beam/805f1f64-381b-4b25-8a62-a8d574bf54cf
      Show excerpt
      Implement rate limiting to prevent abuse and ensure that the endpoint can handle 600 req/sec throughput. ```python from fastapi_limiter import FastAPILimiter from fastapi_limiter.depends import RateLimiter @app.on_event("startup") async d
  2. ctx:claims/beam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d8281da4-7bd2-4a80-92b8-2d7678487cc5
      Show excerpt
      - Use a tool like `curl` or Postman to test the `/api/v1/hybrid-search` endpoint with a valid token and ensure that only users with the `search-user` role can access it. ### Conclusion By following these steps, you can integrate Keyclo
  3. ctx:claims/beam/7cca7064-95fc-4477-ae69-b8062eb1e4c9
    • full textbeam-chunk
      text/plain974 Bdoc:beam/7cca7064-95fc-4477-ae69-b8062eb1e4c9
      Show excerpt
      - Initialize the rate limiter using `FastAPILimiter.init` in the `startup` event. 5. **Rate Limiting Decorator**: - Apply the `RateLimiter` decorator to the `/api/v1/hybrid-search` endpoint to enforce rate limiting. In this example,
  4. ctx:claims/beam/97bcbf7d-12a7-434d-a0bf-c6fb8a595eb9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/97bcbf7d-12a7-434d-a0bf-c6fb8a595eb9
      Show excerpt
      Here's an example implementation using FastAPI, Redis for caching, and a load balancer: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel
  5. ctx:claims/beam/5fd1334d-d15d-4873-b3e0-e54e47612682
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5fd1334d-d15d-4873-b3e0-e54e47612682
      Show excerpt
      raise HTTPException(status_code=response.status_code, detail=str(e)) except requests.exceptions.ConnectionError as e: raise HTTPException(status_code=503, detail=str(e)) except requests.exceptions.Timeout as e:
  6. ctx:claims/beam/cc2498f1-82b7-42fe-8f41-0d8269d6d87e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cc2498f1-82b7-42fe-8f41-0d8269d6d87e
      Show excerpt
      Redis can be used to cache frequently accessed data, reducing the load on your backend services and minimizing memory usage. #### Step 1: Install Redis Ensure Redis is installed and running on your server. ```sh sudo apt-get update sudo
  7. ctx:claims/beam/7cd71c6c-40cf-461f-aac3-8d102300ed38
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7cd71c6c-40cf-461f-aac3-8d102300ed38
      Show excerpt
      Here's an example implementation using FastAPI: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel import requests from tenacity import ret
  8. ctx:claims/beam/107ad967-64ea-4467-97bc-19767764b900
    • full textbeam-chunk
      text/plain1 KBdoc:beam/107ad967-64ea-4467-97bc-19767764b900
      Show excerpt
      except requests.exceptions.ConnectionError as e: raise HTTPException(status_code=503, detail=str(e)) except requests.exceptions.Timeout as e: raise HTTPException(status_code=504, detail=str(e)) except Exception a

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