* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
* **Intuitive**: Great editor support. <dfn title="also known as auto-complete, autocompletion, IntelliSense">Completion</dfn> everywhere. Less time debugging.

                                <groupId>org.apache.maven.plugins</groupId>
                                <artifactId>maven-failsafe-plugin</artifactId>
                                <version>3.0.0-M7</version>
                                <executions>
                                    <execution>
                                        <id>pre-integration-test-setup</id>

        "type": "query"
      }
    ]
  },
  "time": {
    "from": "now-1h",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ],
    "time_options": [
      "5m",
      "15m",
      "1h",
      "6h",

# Number of snapshots for hot thread monitoring.
crawler.hotthread.snapshots=10
# Number of threads for hot thread monitoring.
crawler.hotthread.threads=3
# Timeout for hot thread monitoring (e.g., 30s).
crawler.hotthread.timeout=30s
# Type of hot thread monitoring (e.g., cpu).
crawler.hotthread.type=cpu
# Metadata fields to exclude from document content.

of cookies that net/http will accept when parsing HTTP headers. If the number of
cookie in a header exceeds the number set in `httpcookiemaxnum`, cookie parsing
will fail early. The default value is `httpcookiemaxnum=3000`. Setting
`httpcookiemaxnum=0` will allow the cookie parsing to accept an indefinite
number of cookies. To avoid denial of service attacks, this setting and default
was backported to Go 1.25.2 and Go 1.24.8.

markdown==3.8 \
    --hash=sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc \
    --hash=sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f
    # via tb-nightly
markdown-it-py==3.0.0 \
    --hash=sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1 \
    --hash=sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb
    # via rich
markupsafe==3.0.2 \

ce,p=i.popper,s=-1!==['bottom','top'].indexOf(o),d=s?'left':'top',a=s?'width':'height',l={start:ae({},d,r[d]),end:ae({},d,r[d]+r[a]-p[a])};e.offsets.popper=le({},p,l[n])}return e}},offset:{order:200,enabled:!0,fn:J,offset:0},preventOverflow:{order:300,enabled:!0,fn:function(e,t){var o=t.boundariesElement||p(e.instance.popper);e.instance.reference===o&&(o=p(o));var n=B('transform'),i=e.instance.popper.style,r=i.top,s=i.left,d=i[n];i.top='',i.left='',i[n]='';var a=v(e.instance.popper,e.instance.re...

        assertTrue(result.contains("...[omitted]..."));
        assertTrue(result.contains("[Referenced documents: Test Doc]"));
        // Head (300) + omitted marker + tail (200) + source titles
        assertTrue(result.length() < 1000);
    }

    @Test
    public void test_buildAssistantHistoryContent_smartSummary_shortContent() {

    // Not skipping 400, because it moved back down
    assertEquals((Integer) 400, it.next());
    assertEquals((Integer) 13, it.next());
    assertEquals((Integer) 200, it.next());
    assertEquals((Integer) 300, it.next());
    // Last from forgetMeNot.
    assertEquals((Integer) 500, it.next());
  }

  public void testRemoveFromStringHeap() {
    MinMaxPriorityQueue<String> mmHeap =

FastAPI는 현대적이고, 빠르며(고성능), 파이썬 표준 타입 힌트에 기초한 Python의 API를 빌드하기 위한 웹 프레임워크입니다.

주요 특징으로:

* **빠름**: (Starlette과 Pydantic 덕분에) **NodeJS** 및 **Go**와 대등할 정도로 매우 높은 성능. [사용 가능한 가장 빠른 파이썬 프레임워크 중 하나](#performance).
* **빠른 코드 작성**: 약 200%에서 300%까지 기능 개발 속도 증가. *
* **적은 버그**: 사람(개발자)에 의한 에러 약 40% 감소. *
* **직관적**: 훌륭한 편집기 지원. <dfn title="다른 말로는: 자동 완성, 자동완성, IntelliSense">자동완성</dfn>이 모든 곳에서 동작. 적은 디버깅 시간.
* **쉬움**: 쉽게 사용하고 배우도록 설계. 적은 문서 읽기 시간.