Merge branch 'main' into worktree-ssrf-redirect-fix

validate_url checked the URL string but ScrapeWebsiteTool and
ScrapeElementFromWebsiteTool then fetched with requests' default
allow_redirects=True, so a public host that 302-redirected to an
internal address reached it without re-validation. The resolved IPs
were also discarded, leaving a DNS time-of-check/time-of-use gap.

Add crewai_tools.security.safe_requests:
- SSRFProtectedAdapter re-runs validate_url on every send, including
  each redirect hop (Session.send calls the adapter per hop).
- Connections validate the actual connected peer IP at connect time,
  so the IP that was authorised is the IP that is used (closes the
  DNS-rebinding gap).

Route the two direct-fetch scrape tools through safe_get and add tests.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

conftest.py

@@ -11,99 +11,7 @@ from typing import Any
 
 from dotenv import load_dotenv
 import pytest
-
-
-def _patch_vcrpy_aiohttp_compat() -> None:
-    """Keep vcrpy's aiohttp stub working under aiohttp 3.14.0.
-
-    aiohttp 3.14.0 (pulled in to fix GHSA-jg22-mg44-37j8 and GHSA-hg6j-4rv6-33pg):
-      * removed ``aiohttp.streams.AsyncStreamReaderMixin`` (folded into ``StreamReader``),
-        which vcrpy's ``MockStream`` still subclasses -- vcr's patch machinery then raises
-        ``AttributeError`` at collection time; and
-      * added a required ``stream_writer`` keyword-only arg to ``ClientResponse.__init__``,
-        which vcrpy's ``MockClientResponse`` does not pass -- raising ``TypeError`` at
-        cassette playback.
-
-    Restore the mixin, then rebuild ``MockClientResponse``'s ``super().__init__`` call from
-    the live ``ClientResponse`` signature (defaulting every required keyword-only arg to
-    ``None``, mirroring vcrpy's original call) so it also survives future aiohttp additions.
-    """
-    import asyncio
-    import inspect
-
-    from aiohttp import streams
-    from aiohttp.client_reqrep import ClientResponse
-
-    if not hasattr(streams, "AsyncStreamReaderMixin"):
-
-        class AsyncStreamReaderMixin:
-            __slots__ = ()
-
-            def __aiter__(self) -> streams.AsyncStreamIterator[bytes]:
-                return streams.AsyncStreamIterator(self.readline)  # type: ignore[attr-defined]
-
-            def iter_chunked(self, n: int) -> streams.AsyncStreamIterator[bytes]:
-                return streams.AsyncStreamIterator(lambda: self.read(n))  # type: ignore[attr-defined]
-
-            def iter_any(self) -> streams.AsyncStreamIterator[bytes]:
-                return streams.AsyncStreamIterator(self.readany)  # type: ignore[attr-defined]
-
-            def iter_chunks(self) -> streams.ChunkTupleAsyncStreamIterator:
-                return streams.ChunkTupleAsyncStreamIterator(self)  # type: ignore[arg-type]
-
-        streams.AsyncStreamReaderMixin = AsyncStreamReaderMixin  # type: ignore[attr-defined]
-
-    # Importing the stub builds MockStream/MockClientResponse, so it must run after the
-    # mixin is restored above.
-    import vcr.stubs.aiohttp_stubs as aiohttp_stubs  # type: ignore[import-untyped]
-
-    if getattr(aiohttp_stubs.MockClientResponse, "_crewai_aiohttp_patched", False):
-        return
-
-    keyword_only = [
-        name
-        for name, param in inspect.signature(ClientResponse.__init__).parameters.items()
-        if param.kind is inspect.Parameter.KEYWORD_ONLY
-    ]
-
-    class _NullStreamWriter:
-        # aiohttp 3.14.0 reads stream_writer.output_size in the "request already
-        # sent" branch (writer is None), so None is not enough -- supply a stub.
-        output_size = 0
-
-    fallback_loop: list[asyncio.AbstractEventLoop] = []
-
-    def _resolve_loop() -> asyncio.AbstractEventLoop:
-        # MockClientResponse is normally built inside aiohttp's running loop, so
-        # prefer that. In a sync context there is no running loop; avoid
-        # asyncio.get_event_loop(), which on 3.12+ emits a DeprecationWarning
-        # (and can RuntimeError) when no current loop is set. Use one cached
-        # loop instead -- the mock only stores it and calls loop.get_debug().
-        try:
-            return asyncio.get_running_loop()
-        except RuntimeError:
-            if not fallback_loop:
-                fallback_loop.append(asyncio.new_event_loop())
-            return fallback_loop[0]
-
-    def _mock_client_response_init(
-        self: Any, method: str, url: Any, request_info: Any = None
-    ) -> None:
-        kwargs: dict[str, Any] = dict.fromkeys(keyword_only)
-        kwargs["request_info"] = request_info
-        if "loop" in kwargs:
-            kwargs["loop"] = _resolve_loop()
-        if "stream_writer" in kwargs:
-            kwargs["stream_writer"] = _NullStreamWriter()
-        ClientResponse.__init__(self, method, url, **kwargs)
-
-    aiohttp_stubs.MockClientResponse.__init__ = _mock_client_response_init
-    aiohttp_stubs.MockClientResponse._crewai_aiohttp_patched = True
-
-
-_patch_vcrpy_aiohttp_compat()
-
-from vcr.request import Request  # type: ignore[import-untyped]  # noqa: E402
+from vcr.request import Request  # type: ignore[import-untyped]
 
 
 try:

docs/ar/changelog.mdx

@@ -4,29 +4,6 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
 icon: "clock"
 mode: "wide"
 ---
-<Update label="8 يونيو 2026">
-  ## v1.14.7a3
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7a3)
-
-  ## ما الذي تغير
-
-  ### إصلاحات الأخطاء
-  - إصلاح تعرض `ask_for_human_input` في `AgentExecutor` التجريبي
-  - حل مشكلات CVEs الخاصة بـ pip-audit لـ `aiohttp`، `docling`، `docling-core`، و `pip`
-
-  ### إعادة هيكلة
-  - نقل `@start` لقراءة من `FlowDefinition`
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.14.7a2
-
-  ## المساهمون
-
-  @greysonlalonde، @lorenzejay، @vinibrsl
-
-</Update>
-
 <Update label="5 يونيو 2026">
   ## v1.14.7a2
 

docs/en/changelog.mdx

@@ -4,29 +4,6 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="Jun 08, 2026">
-  ## v1.14.7a3
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7a3)
-
-  ## What's Changed
-
-  ### Bug Fixes
-  - Fix exposure of `ask_for_human_input` on experimental `AgentExecutor`
-  - Resolve pip-audit CVEs for `aiohttp`, `docling`, `docling-core`, and `pip`
-
-  ### Refactoring
-  - Migrate `@start` to read from `FlowDefinition`
-
-  ### Documentation
-  - Update changelog and version for v1.14.7a2
-
-  ## Contributors
-
-  @greysonlalonde, @lorenzejay, @vinibrsl
-
-</Update>
-
 <Update label="Jun 05, 2026">
   ## v1.14.7a2
 

docs/ko/changelog.mdx

@@ -4,29 +4,6 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="2026년 6월 8일">
-  ## v1.14.7a3
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7a3)
-
-  ## 변경 사항
-
-  ### 버그 수정
-  - 실험적인 `AgentExecutor`에서 `ask_for_human_input` 노출 문제 수정
-  - `aiohttp`, `docling`, `docling-core`, 및 `pip`에 대한 pip-audit CVE 해결
-
-  ### 리팩토링
-  - `@start`를 `FlowDefinition`에서 읽도록 마이그레이션
-
-  ### 문서화
-  - v1.14.7a2에 대한 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @greysonlalonde, @lorenzejay, @vinibrsl
-
-</Update>
-
 <Update label="2026년 6월 5일">
   ## v1.14.7a2
 

docs/pt-BR/changelog.mdx

@@ -4,29 +4,6 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="08 jun 2026">
-  ## v1.14.7a3
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7a3)
-
-  ## O que Mudou
-
-  ### Correções de Bugs
-  - Corrigir a exposição de `ask_for_human_input` no `AgentExecutor` experimental
-  - Resolver CVEs do pip-audit para `aiohttp`, `docling`, `docling-core` e `pip`
-
-  ### Refatoração
-  - Migrar `@start` para ler de `FlowDefinition`
-
-  ### Documentação
-  - Atualizar o changelog e a versão para v1.14.7a2
-
-  ## Contribuidores
-
-  @greysonlalonde, @lorenzejay, @vinibrsl
-
-</Update>
-
 <Update label="05 jun 2026">
   ## v1.14.7a2
 

lib/cli/pyproject.toml

@@ -8,7 +8,7 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "crewai-core==1.14.7a3",
+    "crewai-core==1.14.7a2",
     "click>=8.1.7,<9",
     "pydantic>=2.11.9,<2.13",
     "pydantic-settings~=2.10.1",

lib/cli/src/crewai_cli/__init__.py

@@ -1 +1 @@
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"

lib/cli/src/crewai_cli/templates/crew/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.7a3"
+    "crewai[tools]==1.14.7a2"
 ]
 
 [project.scripts]

lib/cli/src/crewai_cli/templates/flow/pyproject.toml

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.7a3"
+    "crewai[tools]==1.14.7a2"
 ]
 
 [project.scripts]

lib/cli/src/crewai_cli/templates/tool/pyproject.toml

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.7a3"
+    "crewai[tools]==1.14.7a2"
 ]
 
 [tool.crewai]

lib/crewai-core/src/crewai_core/__init__.py

@@ -1 +1 @@
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"

lib/crewai-files/src/crewai_files/__init__.py

@@ -152,4 +152,4 @@ __all__ = [
     "wrap_file_source",
 ]
 
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"

lib/crewai-tools/pyproject.toml

@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
 dependencies = [
     "pytube~=15.0.0",
     "requests>=2.33.0,<3",
-    "crewai==1.14.7a3",
+    "crewai==1.14.7a2",
     "tiktoken>=0.8.0,<0.13",
     "beautifulsoup4~=4.13.4",
     "python-docx~=1.2.0",

lib/crewai-tools/src/crewai_tools/__init__.py

@@ -330,4 +330,4 @@ __all__ = [
     "ZapierActionTools",
 ]
 
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"

lib/crewai-tools/src/crewai_tools/security/safe_requests.py

@@ -0,0 +1,158 @@
+"""SSRF-safe HTTP fetching for crewai-tools.
+
+:func:`validate_url` checks the URL it is handed, but it cannot protect a
+fetch on its own: ``requests`` re-resolves DNS at connect time and follows
+redirects automatically, so a public-looking host that 302-redirects to an
+internal address (or that rebinds DNS between validation and connect) reaches
+the internal target without ever being re-checked.
+
+This module closes both gaps at the connection layer:
+
+* :class:`SSRFProtectedAdapter` re-runs :func:`validate_url` for every request
+  it sends. ``requests.Session.send`` invokes the adapter once per redirect
+  hop, so each ``Location`` target is validated before it is followed.
+* The adapter's connections validate the *actual* peer IP immediately after
+  the socket connects. The IP that was authorised is therefore the IP the
+  connection uses, removing the DNS time-of-check/time-of-use gap that
+  :func:`validate_url`'s own ``getaddrinfo`` call leaves open.
+
+Use :func:`safe_get` (or :func:`create_safe_session`) instead of calling
+``requests.get`` directly from any tool that fetches a user- or
+LLM-controlled URL.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+import requests
+from requests.adapters import DEFAULT_POOLBLOCK, HTTPAdapter
+from urllib3.connection import HTTPConnection, HTTPSConnection
+from urllib3.connectionpool import HTTPConnectionPool, HTTPSConnectionPool
+from urllib3.poolmanager import PoolManager
+
+from crewai_tools.security.safe_path import (
+    _is_escape_hatch_enabled,
+    _is_private_or_reserved,
+    validate_url,
+)
+
+
+def _assert_safe_peer(sock: Any) -> None:
+    """Raise if a connected socket's peer is a private/reserved address.
+
+    Validating the real peer (rather than a separately resolved IP) is what
+    defeats DNS rebinding: the address we connected to is the address we check.
+    """
+    if _is_escape_hatch_enabled():
+        return
+    try:
+        peer = sock.getpeername()
+    except OSError:
+        return
+    ip_str = str(peer[0])
+    if _is_private_or_reserved(ip_str):
+        raise ValueError(
+            f"Connection resolved to private/reserved IP {ip_str}. "
+            f"Access to internal networks is not allowed (possible SSRF via "
+            f"redirect or DNS rebinding)."
+        )
+
+
+class _SafeHTTPConnection(HTTPConnection):
+    def connect(self) -> None:
+        super().connect()
+        _assert_safe_peer(self.sock)
+
+
+class _SafeHTTPSConnection(HTTPSConnection):
+    def connect(self) -> None:
+        super().connect()
+        _assert_safe_peer(self.sock)
+
+
+class _SafeHTTPConnectionPool(HTTPConnectionPool):
+    ConnectionCls = _SafeHTTPConnection
+
+
+class _SafeHTTPSConnectionPool(HTTPSConnectionPool):
+    ConnectionCls = _SafeHTTPSConnection
+
+
+_SAFE_POOL_CLASSES = {
+    "http": _SafeHTTPConnectionPool,
+    "https": _SafeHTTPSConnectionPool,
+}
+
+
+class _SafePoolManager(PoolManager):
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        super().__init__(*args, **kwargs)
+        self.pool_classes_by_scheme = _SAFE_POOL_CLASSES
+
+
+class SSRFProtectedAdapter(HTTPAdapter):
+    """Transport adapter that re-validates every hop and pins the peer IP.
+
+    ``validate_url`` runs on each ``send`` — including every redirect hop
+    ``requests`` follows — and the underlying connections reject any socket
+    that ends up connected to a private/reserved address.
+    """
+
+    def init_poolmanager(
+        self,
+        connections: int,
+        maxsize: int,
+        block: bool = DEFAULT_POOLBLOCK,
+        **pool_kwargs: Any,
+    ) -> None:
+        self.poolmanager = _SafePoolManager(
+            num_pools=connections,
+            maxsize=maxsize,
+            block=block,
+            **pool_kwargs,
+        )
+
+    def send(self, request: Any, *args: Any, **kwargs: Any) -> Any:
+        # Re-validate the target of every request the session sends. Because
+        # Session.send calls this once per redirect hop, each Location is
+        # checked before it is followed.
+        validate_url(request.url)
+        return super().send(request, *args, **kwargs)
+
+
+def create_safe_session() -> requests.Session:
+    """Return a ``requests.Session`` that is hardened against SSRF.
+
+    The session validates every request (and redirect hop) and pins
+    connections to the validated peer IP.
+    """
+    session = requests.Session()
+    adapter = SSRFProtectedAdapter()
+    session.mount("http://", adapter)
+    session.mount("https://", adapter)
+    return session
+
+
+def safe_get(url: str, **kwargs: Any) -> requests.Response:
+    """Perform an SSRF-safe ``GET``.
+
+    Drop-in replacement for ``requests.get`` for tools that fetch a
+    user- or LLM-controlled URL. Validates the initial URL and every redirect
+    hop, and rejects connections that land on private/reserved addresses.
+
+    Args:
+        url: The URL to fetch.
+        **kwargs: Forwarded to ``Session.get`` (``headers``, ``cookies``,
+            ``timeout``, ...).
+
+    Returns:
+        The ``requests.Response``.
+
+    Raises:
+        ValueError: If the URL, a redirect target, or the connected peer is
+            not allowed.
+    """
+    validate_url(url)
+    with create_safe_session() as session:
+        return session.get(url, **kwargs)

lib/crewai-tools/src/crewai_tools/tools/scrape_element_from_website/scrape_element_from_website.py

@@ -3,9 +3,8 @@ from typing import Any
 
 from crewai.tools import BaseTool
 from pydantic import BaseModel, Field
-import requests
 
-from crewai_tools.security.safe_path import validate_url
+from crewai_tools.security.safe_requests import safe_get
 
 
 try:
@@ -83,8 +82,7 @@ class ScrapeElementFromWebsiteTool(BaseTool):
         if website_url is None or css_element is None:
             raise ValueError("Both website_url and css_element must be provided.")
 
-        website_url = validate_url(website_url)
-        page = requests.get(
+        page = safe_get(
             website_url,
             headers=self.headers,
             cookies=self.cookies if self.cookies else {},

lib/crewai-tools/src/crewai_tools/tools/scrape_website_tool/scrape_website_tool.py

@@ -3,9 +3,8 @@ import re
 from typing import Any
 
 from pydantic import Field
-import requests
 
-from crewai_tools.security.safe_path import validate_url
+from crewai_tools.security.safe_requests import safe_get
 
 
 try:
@@ -75,8 +74,7 @@ class ScrapeWebsiteTool(BaseTool):
         if website_url is None:
             raise ValueError("Website URL must be provided.")
 
-        website_url = validate_url(website_url)
-        page = requests.get(
+        page = safe_get(
             website_url,
             timeout=15,
             headers=self.headers,

lib/crewai-tools/tests/utilities/test_safe_requests.py

@@ -0,0 +1,124 @@
+"""Tests for SSRF-safe HTTP fetching (redirect + DNS-rebinding protection)."""
+
+from __future__ import annotations
+
+import http.server
+import socketserver
+import threading
+
+import pytest
+import requests
+
+from crewai_tools.security import safe_requests
+from crewai_tools.security.safe_requests import (
+    SSRFProtectedAdapter,
+    create_safe_session,
+    safe_get,
+)
+
+
+INTERNAL_BODY = b"INTERNAL-ONLY-SECRET"
+
+
+class _InternalHandler(http.server.BaseHTTPRequestHandler):
+    def do_GET(self):
+        self.send_response(200)
+        self.send_header("Content-Type", "text/plain")
+        self.end_headers()
+        self.wfile.write(INTERNAL_BODY)
+
+    def log_message(self, *args):  # silence
+        pass
+
+
+def _serve(handler):
+    """Start a localhost server on an ephemeral port; return (server, port)."""
+    server = socketserver.TCPServer(("127.0.0.1", 0), handler)
+    port = server.server_address[1]
+    threading.Thread(target=server.serve_forever, daemon=True).start()
+    return server, port
+
+
+class TestRedirectRevalidation:
+    """Layer 1: validate_url runs on every send, including each redirect hop.
+
+    ``requests.Session.send`` calls ``adapter.send`` once per redirect hop, so
+    re-validating in ``send`` is what blocks a 302 to an internal target.
+    """
+
+    def test_adapter_revalidates_before_any_network_call(self, monkeypatch):
+        calls: list[str] = []
+
+        def spy(url: str) -> str:
+            calls.append(url)
+            if "internal.target" in url:
+                raise ValueError("URL resolves to private/reserved IP")
+            return url
+
+        monkeypatch.setattr(safe_requests, "validate_url", spy)
+
+        adapter = SSRFProtectedAdapter()
+        # Internal redirect target: send() must reject it before ever calling
+        # the real transport (super().send is never reached).
+        req = requests.Request("GET", "http://internal.target/").prepare()
+        with pytest.raises(ValueError, match="private/reserved"):
+            adapter.send(req)
+        assert calls == ["http://internal.target/"]
+
+    def test_session_mounts_protected_adapter(self):
+        session = create_safe_session()
+        assert isinstance(session.get_adapter("http://x"), SSRFProtectedAdapter)
+        assert isinstance(session.get_adapter("https://x"), SSRFProtectedAdapter)
+
+
+class _FakeSock:
+    def __init__(self, peer):
+        self._peer = peer
+
+    def getpeername(self):
+        return self._peer
+
+
+class TestConnectionPeerGuard:
+    """Layer 2: the connection rejects an internal peer IP at connect time.
+
+    This is what closes the validate-then-connect DNS-rebinding gap — the IP
+    the socket actually connected to is the IP that gets checked, so a host
+    that resolved public at validation time but connects internal is blocked.
+    """
+
+    def test_safe_get_blocks_direct_internal(self):
+        # No network: validate_url rejects 127.0.0.1 at the URL layer first.
+        with pytest.raises(ValueError, match="private/reserved"):
+            safe_get("http://127.0.0.1:9/", timeout=10)
+
+    def test_assert_safe_peer_blocks_private(self):
+        with pytest.raises(ValueError, match="private/reserved"):
+            safe_requests._assert_safe_peer(_FakeSock(("127.0.0.1", 80)))
+
+    def test_assert_safe_peer_blocks_metadata(self):
+        with pytest.raises(ValueError, match="private/reserved"):
+            safe_requests._assert_safe_peer(_FakeSock(("169.254.169.254", 80)))
+
+    def test_assert_safe_peer_allows_public(self):
+        # A public IP must not raise.
+        safe_requests._assert_safe_peer(_FakeSock(("93.184.216.34", 80)))
+
+    def test_assert_safe_peer_respects_escape_hatch(self, monkeypatch):
+        monkeypatch.setenv("CREWAI_TOOLS_ALLOW_UNSAFE_PATHS", "true")
+        # No raise even for a private peer when the escape hatch is on.
+        safe_requests._assert_safe_peer(_FakeSock(("127.0.0.1", 80)))
+
+    def test_connection_validates_peer_after_connect(self, monkeypatch):
+        """_SafeHTTPConnection.connect runs the peer guard after connecting."""
+        conn = safe_requests._SafeHTTPConnection("example.com")
+
+        def fake_super_connect(self):
+            # Simulate a rebind: we connected to an internal address.
+            self.sock = _FakeSock(("127.0.0.1", 80))
+
+        monkeypatch.setattr(
+            safe_requests.HTTPConnection, "connect", fake_super_connect
+        )
+        with pytest.raises(ValueError, match="private/reserved"):
+            conn.connect()

lib/crewai/pyproject.toml

@@ -8,8 +8,8 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "crewai-core==1.14.7a3",
-    "crewai-cli==1.14.7a3",
+    "crewai-core==1.14.7a2",
+    "crewai-cli==1.14.7a2",
     # Core Dependencies
     "pydantic>=2.11.9,<2.13",
     "openai>=2.30.0,<3",
@@ -37,7 +37,7 @@ dependencies = [
     "tomli~=2.0.2",
     "json5~=0.10.0",
     "portalocker~=2.7.0",
-    "pydantic-settings>=2.10.1,<3",
+    "pydantic-settings~=2.10.1",
     "httpx~=0.28.1",
     "mcp~=1.26.0",
     "aiosqlite~=0.21.0",
@@ -54,7 +54,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
 
 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.14.7a3",
+    "crewai-tools==1.14.7a2",
 ]
 embeddings = [
     "tiktoken>=0.8.0,<0.13"
@@ -67,11 +67,7 @@ openpyxl = [
 ]
 mem0 = ["mem0ai>=2.0.0,<3"]
 docling = [
-    "docling~=2.97.0",
-    # docling 2.97 split into docling-slim; the chunker package (HierarchicalChunker)
-    # now eagerly imports code-chunking submodules that need tree-sitter/semchunk,
-    # which only the docling-core[chunking] extra provides.
-    "docling-core[chunking]>=2.74.1",
+    "docling~=2.84.0",
 ]
 qdrant = [
     "qdrant-client[fastembed]~=1.14.3",

lib/crewai/src/crewai/__init__.py

@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
 
 _suppress_pydantic_deprecation_warnings()
 
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"
 
 _LAZY_IMPORTS: dict[str, tuple[str, str]] = {
     "Memory": ("crewai.memory.unified_memory", "Memory"),

lib/crewai/src/crewai/experimental/agent_executor.py

@@ -279,16 +279,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):
         """Set state messages."""
         self._state.messages = value
 
-    @property
-    def ask_for_human_input(self) -> bool:
-        """Compatibility property - returns state ask_for_human_input."""
-        return self._state.ask_for_human_input  # type: ignore[no-any-return]
-
-    @ask_for_human_input.setter
-    def ask_for_human_input(self, value: bool) -> None:
-        """Set state ask_for_human_input."""
-        self._state.ask_for_human_input = value
-
     @start()
     def generate_plan(self) -> None:
         """Generate execution plan if planning is enabled.

lib/crewai/src/crewai/flow/dsl/_human_feedback.py

@@ -27,6 +27,7 @@ def _stamp_human_feedback_metadata(
     config: HumanFeedbackConfig,
 ) -> None:
     for attr in [
+        "__is_start_method__",
         "__trigger_methods__",
         "__condition_type__",
         "__trigger_condition__",

lib/crewai/src/crewai/flow/dsl/_start.py

@@ -9,6 +9,7 @@ from crewai.flow.dsl._utils import (
     P,
     R,
     _set_flow_method_definition,
+    _set_trigger_metadata,
 )
 from crewai.flow.flow_definition import FlowMethodDefinition
 from crewai.flow.flow_wrappers import StartMethod
@@ -60,6 +61,7 @@ def start(
                     start=_definition_condition_from_runtime(condition)
                 ),
             )
+            _set_trigger_metadata(wrapper, condition)
         else:
             _set_flow_method_definition(wrapper, FlowMethodDefinition(start=True))
         return wrapper

lib/crewai/src/crewai/flow/dsl/_utils.py

@@ -31,6 +31,7 @@ from crewai.flow.flow_wrappers import (
     FlowMethod,
     ListenMethod,
     RouterMethod,
+    StartMethod,
 )
 from crewai.flow.types import FlowMethodName
 
@@ -47,6 +48,7 @@ def is_flow_method(obj: Any) -> TypeIs[FlowMethod[Any, Any]]:
     """Check if the object carries Flow method wrapper metadata."""
     return (
         hasattr(obj, "__is_flow_method__")
+        or hasattr(obj, "__is_start_method__")
         or hasattr(obj, "__trigger_methods__")
         or hasattr(obj, "__is_router__")
         or hasattr(obj, _FLOW_METHOD_DEFINITION_ATTR)
@@ -64,7 +66,7 @@ def _flow_method_names(values: Sequence[Any]) -> list[FlowMethodName]:
 
 
 def _set_trigger_metadata(
-    wrapper: ListenMethod[P, R] | RouterMethod[P, R],
+    wrapper: StartMethod[P, R] | ListenMethod[P, R] | RouterMethod[P, R],
     condition: FlowTrigger,
 ) -> None:
     if isinstance(condition, str):
@@ -96,7 +98,7 @@ def _set_trigger_metadata(
 
 
 def _set_flow_method_definition(
-    wrapper: FlowMethod[P, R],
+    wrapper: StartMethod[P, R] | ListenMethod[P, R] | RouterMethod[P, R],
     definition: FlowMethodDefinition,
 ) -> None:
     setattr(wrapper, _FLOW_METHOD_DEFINITION_ATTR, definition)
@@ -254,11 +256,20 @@ def _condition_from_method_metadata(method: Any) -> FlowDefinitionCondition | No
 
 
 def _flow_method_definition_from_legacy_metadata(method: Any) -> FlowMethodDefinition:
+    is_start = bool(getattr(method, "__is_start_method__", False))
     is_router = bool(getattr(method, "__is_router__", False))
     condition = _condition_from_method_metadata(method)
 
+    if not is_start:
+        start_value: bool | FlowDefinitionCondition | None = None
+    elif condition is not None:
+        start_value = condition
+    else:
+        start_value = True
+
     definition = FlowMethodDefinition(
-        listen=condition,
+        start=start_value,
+        listen=condition if not is_start else None,
         router=is_router,
     )
 
@@ -362,7 +373,7 @@ def _build_method_definition(
 
 def _iter_flow_methods(flow_class: type) -> dict[str, Any]:
     methods: dict[str, Any] = {}
-    for attr_name in flow_class.__dict__:
+    for attr_name in dir(flow_class):
         if attr_name.startswith("_"):
             continue
         try:
@@ -437,17 +448,20 @@ def extract_flow_definition(
     namespace: dict[str, Any],
 ) -> tuple[list[str], dict[str, Any], set[str], dict[str, Any]]:
     """Extract the structural flow registries from a Python class namespace."""
-    start_methods: list[str] = []
-    listeners: dict[str, Any] = {}
-    router_emit: dict[str, Any] = {}
-    routers: set[str] = set()
+    start_methods = []
+    listeners = {}
+    router_emit = {}
+    routers = set()
 
     for attr_name, attr_value in namespace.items():
         if is_flow_method(attr_value):
             method_definition = _get_flow_method_definition(attr_value)
             if method_definition is not None:
+                if method_definition.is_start:
+                    start_methods.append(attr_name)
+
                 condition = _definition_trigger_condition(method_definition)
-                if condition is not None and not method_definition.is_start:
+                if condition is not None:
                     listeners[attr_name] = _runtime_listener_condition_from_definition(
                         condition
                     )
@@ -470,6 +484,9 @@ def extract_flow_definition(
                         router_emit[attr_name] = []
                 continue
 
+            if hasattr(attr_value, "__is_start_method__"):
+                start_methods.append(attr_name)
+
             if (
                 hasattr(attr_value, "__trigger_methods__")
                 and attr_value.__trigger_methods__ is not None
@@ -495,4 +512,18 @@ def extract_flow_definition(
                     else:
                         router_emit[attr_name] = []
 
+            if (
+                hasattr(attr_value, "__is_start_method__")
+                and hasattr(attr_value, "__is_router__")
+                and attr_value.__is_router__
+            ):
+                routers.add(attr_name)
+                if (
+                    hasattr(attr_value, "__router_emit__")
+                    and attr_value.__router_emit__
+                ):
+                    router_emit[attr_name] = attr_value.__router_emit__
+                else:
+                    router_emit[attr_name] = []
+
     return start_methods, listeners, routers, router_emit

lib/crewai/src/crewai/flow/flow_wrappers.py

@@ -158,6 +158,11 @@ class FlowMethod(Generic[P, R]):
 class StartMethod(FlowMethod[P, R]):
     """Wrapper for methods marked as flow start points."""
 
+    __is_start_method__: bool = True
+    __trigger_methods__: list[FlowMethodName] | None = None
+    __condition_type__: FlowConditionType | None = None
+    __trigger_condition__: FlowCondition | None = None
+
 
 class ListenMethod(FlowMethod[P, R]):
     """Wrapper for methods marked as flow listeners."""

lib/crewai/src/crewai/flow/persistence/decorators.py

@@ -67,6 +67,7 @@ def _stamp_persistence_metadata(
 
 
 _PRESERVED_FLOW_ATTRS: Final[tuple[str, ...]] = (
+    "__is_start_method__",
     "__trigger_methods__",
     "__condition_type__",
     "__trigger_condition__",
@@ -210,11 +211,11 @@ def persist(
                 for name, method in target.__dict__.items()
                 if callable(method)
                 and (
-                    hasattr(method, "__trigger_methods__")
+                    hasattr(method, "__is_start_method__")
+                    or hasattr(method, "__trigger_methods__")
                     or hasattr(method, "__condition_type__")
                     or hasattr(method, "__is_flow_method__")
                     or hasattr(method, "__is_router__")
-                    or hasattr(method, "__flow_method_definition__")
                 )
             }
 

lib/crewai/src/crewai/flow/runtime.py

@@ -94,16 +94,16 @@ from crewai.flow.dsl._conditions import (
     _extract_all_methods,
     _extract_all_methods_recursive,
     _normalize_condition,
-    _runtime_listener_condition_from_definition,
     is_flow_condition_dict,
     is_simple_flow_condition,
 )
 from crewai.flow.dsl._utils import (
     build_flow_definition,
     extract_flow_definition,
+    is_flow_method,
 )
 from crewai.flow.flow_context import current_flow_id, current_flow_request_id
-from crewai.flow.flow_definition import FlowDefinition, FlowDefinitionCondition
+from crewai.flow.flow_definition import FlowDefinition
 from crewai.flow.flow_wrappers import (
     FlowCondition,
     FlowMethod,
@@ -603,8 +603,77 @@ class FlowMeta(ModelMetaclass):
 
         cls = super().__new__(mcs, name, bases, namespace)
 
-        _, listeners, routers, router_emit = extract_flow_definition(namespace)
+        start_methods, listeners, routers, router_emit = extract_flow_definition(
+            namespace
+        )
 
+        # === EXPERIMENTAL: conversational gating ===
+        # The built-in conversational graph (``conversation_start``,
+        # ``route_conversation``, ``converse_turn``, ``end_conversation``,
+        # ``answer_from_history_turn``) lives on ``Flow`` itself, decorated
+        # with ``@_conversational_only``. We don't want those methods to
+        # register on non-chat flows. The opt-in is ``conversational = True``
+        # on the subclass; otherwise the methods exist as inert attributes.
+        is_conversational = bool(namespace.get("conversational", False))
+        if not is_conversational:
+            for base in bases:
+                if getattr(base, "conversational", False):
+                    is_conversational = True
+                    break
+
+        # 1. Strip conversational-only methods that landed in the namespace
+        # extraction when this class isn't conversational. Applies to ``Flow``
+        # itself (its own namespace declares the conversational methods).
+        if not is_conversational:
+
+            def _is_conv_only(attr_name: str) -> bool:
+                attr_value = namespace.get(attr_name)
+                return bool(getattr(attr_value, "__conversational_only__", False))
+
+            start_methods = [m for m in start_methods if not _is_conv_only(m)]
+            listeners = {k: v for k, v in listeners.items() if not _is_conv_only(k)}
+            routers = {r for r in routers if not _is_conv_only(r)}
+            router_emit = {k: v for k, v in router_emit.items() if not _is_conv_only(k)}
+
+        # 2. Harvest conversational-only methods from base classes when this
+        # subclass opts in. (extract_flow_definition only scans the current
+        # namespace; without this step, ``class MyChat(Flow): conversational
+        # = True`` would have an empty graph.)
+        if is_conversational:
+            already_registered: set[str] = set(start_methods) | set(listeners.keys())
+            for base in bases:
+                for attr_name in dir(base):
+                    if attr_name.startswith("_") or attr_name in already_registered:
+                        continue
+                    attr_value = getattr(base, attr_name, None)
+                    if not is_flow_method(attr_value):
+                        continue
+                    if not getattr(attr_value, "__conversational_only__", False):
+                        continue
+                    already_registered.add(attr_name)
+
+                    if hasattr(attr_value, "__is_start_method__"):
+                        start_methods.append(attr_name)
+
+                    trigger_methods = getattr(attr_value, "__trigger_methods__", None)
+                    if trigger_methods is not None:
+                        condition_type = getattr(
+                            attr_value, "__condition_type__", OR_CONDITION
+                        )
+                        trigger_condition = getattr(
+                            attr_value, "__trigger_condition__", None
+                        )
+                        if trigger_condition is not None:
+                            listeners[attr_name] = trigger_condition
+                        else:
+                            listeners[attr_name] = (condition_type, trigger_methods)
+
+                        if getattr(attr_value, "__is_router__", False):
+                            routers.add(attr_name)
+                            emit = getattr(attr_value, "__router_emit__", None)
+                            router_emit[attr_name] = list(emit) if emit else []
+
+        cls._start_methods = start_methods  # type: ignore[attr-defined]
         cls._listeners = listeners  # type: ignore[attr-defined]
         cls._routers = routers  # type: ignore[attr-defined]
         cls._router_emit = router_emit  # type: ignore[attr-defined]
@@ -627,6 +696,7 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
     )
     __hash__ = object.__hash__
 
+    _start_methods: ClassVar[list[FlowMethodName]] = []
     _listeners: ClassVar[dict[FlowMethodName, SimpleFlowCondition | FlowCondition]] = {}
     _routers: ClassVar[set[FlowMethodName]] = set()
     _router_emit: ClassVar[dict[FlowMethodName, list[FlowMethodName]]] = {}
@@ -676,31 +746,6 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
             cls._flow_definition = flow_definition
         return flow_definition
 
-    @classmethod
-    def _definition_start_method_names(cls) -> list[FlowMethodName]:
-        return [
-            FlowMethodName(method_name)
-            for method_name, method_definition in cls.flow_definition().methods.items()
-            if method_definition.is_start
-        ]
-
-    @classmethod
-    def _definition_start_condition(
-        cls, method_name: FlowMethodName
-    ) -> FlowDefinitionCondition | None:
-        method_definition = cls.flow_definition().methods.get(str(method_name))
-        if method_definition is None:
-            return None
-        start = method_definition.start
-        if isinstance(start, (str, dict)):
-            return start
-        return None
-
-    @classmethod
-    def _definition_has_start(cls, method_name: FlowMethodName) -> bool:
-        method_definition = cls.flow_definition().methods.get(str(method_name))
-        return bool(method_definition and method_definition.is_start)
-
     initial_state: Annotated[  # type: ignore[type-arg]
         type[BaseModel] | type[dict] | dict[str, Any] | BaseModel | None,
         BeforeValidator(_deserialize_initial_state),
@@ -920,8 +965,16 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
             flow_name = sanitize_scope_name(self.name or self.__class__.__name__)
             self.memory = Memory(root_scope=f"/flow/{flow_name}")
 
-        # Build the runtime method lookup from the static FlowDefinition.
-        for method_name in type(self).flow_definition().methods:
+        # Build the runtime method lookup. ``_start_methods`` / ``_listeners`` /
+        # ``_routers`` are populated by ``FlowMeta.__new__`` and are the source
+        # of truth for which slots are flow methods — including slots a
+        # subclass overrode without re-decorating. Walk those slots first so
+        # the override (which may be a plain function) still gets bound here.
+        registered_slots: set[str] = set()
+        registered_slots.update(getattr(type(self), "_start_methods", []))
+        registered_slots.update(getattr(type(self), "_listeners", {}).keys())
+        registered_slots.update(getattr(type(self), "_routers", set()))
+        for method_name in registered_slots:
             method = getattr(self, method_name, None)
             if method is None:
                 continue
@@ -929,6 +982,32 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
                 method = method.__get__(self, self.__class__)
             self._methods[FlowMethodName(method_name)] = method
 
+        # Also pick up any leftover flow-decorated attributes that aren't
+        # already registered (defensive — preserves the prior catch-all scan).
+        # We walk the MRO's class ``__dict__`` rather than ``dir(self)`` +
+        # ``getattr`` so we don't trigger ``@property`` descriptors (those
+        # would run user code mid-init, before state is set up — e.g. a
+        # user property accessing ``self.state.messages`` would crash).
+        # Conversational-only methods are skipped on non-chat flows.
+        is_conversational = getattr(type(self), "conversational", False)
+        seen_in_dict: set[str] = set()
+        for klass in type(self).__mro__:
+            for method_name, raw in klass.__dict__.items():
+                if method_name.startswith("_") or method_name in self._methods:
+                    continue
+                if method_name in seen_in_dict:
+                    continue
+                seen_in_dict.add(method_name)
+                if not is_flow_method(raw):
+                    continue
+                if (
+                    getattr(raw, "__conversational_only__", False)
+                    and not is_conversational
+                ):
+                    continue
+                bound = raw.__get__(self, self.__class__)
+                self._methods[FlowMethodName(method_name)] = bound
+
     def recall(self, query: str, **kwargs: Any) -> Any:
         """Recall relevant memories. Delegates to this flow's memory.
 
@@ -1018,33 +1097,6 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
         with self._or_listeners_lock:
             self._fired_or_listeners.discard(listener_name)
 
-    def _start_condition_triggered_by(
-        self, method_name: FlowMethodName, trigger: FlowMethodName
-    ) -> bool:
-        condition = type(self)._definition_start_condition(method_name)
-        if condition is None:
-            return False
-        condition_data = _runtime_listener_condition_from_definition(condition)
-        if is_simple_flow_condition(condition_data):
-            condition_type, methods = condition_data
-            if condition_type == OR_CONDITION:
-                return trigger in methods
-            pending_key = PendingListenerKey(method_name)
-            if pending_key not in self._pending_and_listeners:
-                self._pending_and_listeners[pending_key] = set(methods)
-            if trigger in self._pending_and_listeners[pending_key]:
-                self._pending_and_listeners[pending_key].discard(trigger)
-            if not self._pending_and_listeners[pending_key]:
-                self._pending_and_listeners.pop(pending_key, None)
-                return True
-            return False
-        return self._evaluate_condition(
-            condition_data,
-            trigger,
-            method_name,
-            pending_key_prefix=f"start:{method_name}",
-        )
-
     def _rearm_or_listeners_for_trigger(
         self,
         trigger: FlowMethodName,
@@ -2219,24 +2271,37 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
 
             try:
                 # Determine which start methods to execute at kickoff
-                # Conditional start methods are only triggered by their conditions
+                # Conditional start methods (with __trigger_methods__) are only triggered by their conditions
                 # UNLESS there are no unconditional starts (then all starts run as entry points)
-                start_methods = type(self)._definition_start_method_names()
                 unconditional_starts = [
                     start_method
-                    for start_method in start_methods
-                    if type(self)._definition_start_condition(start_method) is None
+                    for start_method in self._start_methods
+                    if not getattr(
+                        self._methods.get(start_method), "__trigger_methods__", None
+                    )
                 ]
                 # If there are unconditional starts, only run those at kickoff
                 # If there are NO unconditional starts, run all starts (including conditional ones)
                 starts_to_execute = (
-                    unconditional_starts if unconditional_starts else start_methods
+                    unconditional_starts
+                    if unconditional_starts
+                    else self._start_methods
                 )
-                tasks = [
-                    self._execute_start_method(start_method)
-                    for start_method in starts_to_execute
-                ]
-                await asyncio.gather(*tasks)
+                if getattr(type(self), "conversational", False):
+                    # Conversational mode: run @start methods sequentially so
+                    # user setup (e.g. permission loading) completes before
+                    # the router fires. ``_start_methods`` preserves
+                    # declaration + harvest order, with ``conversation_start``
+                    # at the end — its router decision only runs after every
+                    # user start finishes.
+                    for start_method in starts_to_execute:
+                        await self._execute_start_method(start_method)
+                else:
+                    tasks = [
+                        self._execute_start_method(start_method)
+                        for start_method in starts_to_execute
+                    ]
+                    await asyncio.gather(*tasks)
             except Exception as e:
                 # Check if flow was paused for human feedback
                 from crewai.flow.async_feedback.types import HumanFeedbackPending
@@ -2759,25 +2824,32 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
                         await asyncio.gather(*tasks)
 
                 if current_trigger in router_results:
-                    for method_name in type(self)._definition_start_method_names():
-                        if self._start_condition_triggered_by(
-                            method_name, current_trigger
-                        ):
-                            if method_name in self._completed_methods:
-                                # Cyclic re-execution: temporarily clear resumption flag so the method actually re-runs
-                                was_resuming = self._is_execution_resuming
-                                self._is_execution_resuming = False
-                                await self._execute_start_method(method_name)
-                                self._is_execution_resuming = was_resuming
-                            else:
-                                await self._execute_start_method(method_name)
+                    for method_name in self._start_methods:
+                        if method_name in self._listeners:
+                            condition_data = self._listeners[method_name]
+                            should_trigger = False
+                            if is_simple_flow_condition(condition_data):
+                                _, trigger_methods = condition_data
+                                should_trigger = current_trigger in trigger_methods
+                            elif isinstance(condition_data, dict):
+                                all_methods = _extract_all_methods(condition_data)
+                                should_trigger = current_trigger in all_methods
+
+                            if should_trigger:
+                                if method_name in self._completed_methods:
+                                    # Cyclic re-execution: temporarily clear resumption flag so the method actually re-runs
+                                    was_resuming = self._is_execution_resuming
+                                    self._is_execution_resuming = False
+                                    await self._execute_start_method(method_name)
+                                    self._is_execution_resuming = was_resuming
+                                else:
+                                    await self._execute_start_method(method_name)
 
     def _evaluate_condition(
         self,
         condition: str | FlowMethodName | FlowCondition,
         trigger_method: FlowMethodName,
         listener_name: FlowMethodName,
-        pending_key_prefix: str | None = None,
     ) -> bool:
         """Recursively evaluate a condition (simple or nested).
 
@@ -2792,11 +2864,6 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
         if isinstance(condition, str):
             return condition == trigger_method
 
-        def _sub_prefix(index: int) -> str | None:
-            if pending_key_prefix is None:
-                return None
-            return f"{pending_key_prefix}:{index}"
-
         if is_flow_condition_dict(condition):
             normalized = _normalize_condition(condition)
             cond_type = normalized.get("type", OR_CONDITION)
@@ -2804,21 +2871,12 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
 
             if cond_type == OR_CONDITION:
                 return any(
-                    self._evaluate_condition(
-                        sub_cond,
-                        trigger_method,
-                        listener_name,
-                        pending_key_prefix=_sub_prefix(index),
-                    )
-                    for index, sub_cond in enumerate(sub_conditions)
+                    self._evaluate_condition(sub_cond, trigger_method, listener_name)
+                    for sub_cond in sub_conditions
                 )
 
             if cond_type == AND_CONDITION:
-                pending_key = PendingListenerKey(
-                    pending_key_prefix
-                    if pending_key_prefix is not None
-                    else f"{listener_name}:{id(condition)}"
-                )
+                pending_key = PendingListenerKey(f"{listener_name}:{id(condition)}")
 
                 if pending_key not in self._pending_and_listeners:
                     all_methods = set(_extract_all_methods(condition))
@@ -2832,15 +2890,12 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
                 nested_conditions_satisfied = all(
                     (
                         self._evaluate_condition(
-                            sub_cond,
-                            trigger_method,
-                            listener_name,
-                            pending_key_prefix=_sub_prefix(index),
+                            sub_cond, trigger_method, listener_name
                         )
                         if is_flow_condition_dict(sub_cond)
                         else True
                     )
-                    for index, sub_cond in enumerate(sub_conditions)
+                    for sub_cond in sub_conditions
                 )
 
                 if direct_methods_satisfied and nested_conditions_satisfied:
@@ -2879,7 +2934,7 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
             if router_only != is_router:
                 continue
 
-            if not router_only and type(self)._definition_has_start(listener_name):
+            if not router_only and listener_name in self._start_methods:
                 continue
 
             if is_simple_flow_condition(condition_data):
@@ -2985,12 +3040,9 @@ class Flow(_ConversationalMixin, BaseModel, Generic[T], metaclass=FlowMeta):
                 # For routers, also check if any conditional starts they triggered are completed
                 # If so, continue their chains
                 if listener_name in self._routers:
-                    for start_method_name in type(
-                        self
-                    )._definition_start_method_names():
+                    for start_method_name in self._start_methods:
                         if (
-                            type(self)._definition_start_condition(start_method_name)
-                            is not None
+                            start_method_name in self._listeners
                             and start_method_name in self._completed_methods
                         ):
                             # This conditional start was executed, continue its chain

lib/crewai/tests/test_flow.py

@@ -272,37 +272,6 @@ def test_flow_with_router():
     assert execution_order == ["start_method", "router", "step_if_true"]
 
 
-def test_start_runtime_uses_flow_definition_without_legacy_start_metadata():
-    execution_order = []
-
-    class DefinitionStartFlow(Flow):
-        @start()
-        def begin(self):
-            execution_order.append("begin")
-            return "begin"
-
-        @router(begin)
-        def route(self):
-            execution_order.append("route")
-            return "branch_event"
-
-        @start("branch_event")
-        def branch(self):
-            execution_order.append("branch")
-            return "branch"
-
-        @listen(branch)
-        def done(self):
-            execution_order.append("done")
-
-    assert not hasattr(DefinitionStartFlow.__dict__["begin"], "__is_start_method__")
-    assert not hasattr(DefinitionStartFlow.__dict__["branch"], "__trigger_methods__")
-
-    DefinitionStartFlow().kickoff()
-
-    assert execution_order == ["begin", "route", "branch", "done"]
-
-
 def test_async_flow():
     """Test an asynchronous flow."""
     execution_order = []

lib/crewai/tests/test_flow_conversation.py

@@ -6,7 +6,6 @@ from typing import Any, Literal
 from unittest.mock import MagicMock, patch
 from uuid import uuid4
 
-import pytest
 from pydantic import BaseModel
 
 from crewai.events.event_bus import crewai_event_bus
@@ -34,16 +33,6 @@ from crewai.flow.conversation import (
     prepare_conversational_turn,
 )
 
-# The built-in conversational graph lives on ``_ConversationalMixin`` and is
-# inherited by ``conversational = True`` subclasses. The definition-first start
-# migration intentionally stopped scanning inherited methods, so that graph no
-# longer registers. These end-to-end conversational tests are out of scope
-# until conversational mode is migrated onto the FlowDefinition.
-conversational_graph_broken = pytest.mark.skip(
-    reason="Experimental conversational registry behavior is out of scope for "
-    "the definition-first start migration."
-)
-
 
 class ConversationalFlow(Flow[ConversationState]):
     """Test base: a ``Flow[ConversationState]`` with conversational mode enabled.
@@ -169,9 +158,6 @@ class TestConversationalFlow:
         )
 
 
-    @pytest.mark.skip(
-        reason="Experimental conversational registry behavior is out of scope for the definition-first start migration."
-    )
     def test_handle_turn_routes_to_listener_and_records_public_result(self) -> None:
         @ConversationConfig(default_intents=["research"], intent_llm="gpt-4o-mini")
         class ResearchFlow(ConversationalFlow):
@@ -190,6 +176,7 @@ class TestConversationalFlow:
             result = flow.handle_turn("research CrewAI")
 
         assert result == "researched answer"
+        assert "conversation_start" in ResearchFlow._start_methods
         assert flow.state.current_user_message == "research CrewAI"
         assert flow.state.last_intent == "research"
         assert [message.role for message in flow.state.messages] == [
@@ -200,7 +187,6 @@ class TestConversationalFlow:
         assert flow.state.events[0].agent_name == "researcher"
         assert flow.state.events[0].visibility == "public"
 
-    @conversational_graph_broken
     def test_private_agent_results_stay_out_of_shared_history(self) -> None:
         class PrivateFlow(ConversationalFlow):
             def route_turn(self, context: dict[str, Any]) -> str | None:
@@ -217,7 +203,6 @@ class TestConversationalFlow:
         assert flow.state.events[0].visibility == "private"
         assert flow.state.agent_threads["planner"][0].content == "private scratch"
 
-    @conversational_graph_broken
     def test_answer_from_history_uses_configured_llm_and_appends_reply(self) -> None:
         @ConversationConfig(answer_from_history_llm="gpt-4o-mini")
         class HistoryFlow(ConversationalFlow):
@@ -248,7 +233,6 @@ class TestConversationalFlow:
         assert flow.state.messages[-1].content == "summary from history"
         llm.call.assert_called_once()
 
-    @conversational_graph_broken
     def test_router_config_uses_structured_intent_response(self) -> None:
         class ResearchRoute(BaseModel):
             intent: Literal["research", "clarify"]
@@ -285,7 +269,6 @@ class TestConversationalFlow:
         assert llm.call.call_args.kwargs["response_format"] is ResearchRoute
         assert flow.state.messages[-1].content == "researched"
 
-    @conversational_graph_broken
     def test_router_config_falls_back_for_invalid_intent(self) -> None:
         class ResearchRoute(BaseModel):
             intent: str
@@ -367,7 +350,6 @@ class TestConversationalFlow:
             "end",
         }
 
-    @conversational_graph_broken
     def test_router_config_uses_conversational_defaults(self) -> None:
         llm = MagicMock()
 
@@ -394,7 +376,6 @@ class TestConversationalFlow:
         )
         assert flow.state.messages[-1].content == "researched"
 
-    @conversational_graph_broken
     def test_builtin_converse_appends_assistant_message_and_uses_history(self) -> None:
         class ResearchRoute(BaseModel):
             intent: Literal["research", "converse", "end"]
@@ -442,7 +423,6 @@ class TestConversationalFlow:
         assert any(message["content"] == "prior findings" for message in messages)
         assert any(message["content"] == "summarize findings" for message in messages)
 
-    @conversational_graph_broken
     def test_conversational_turn_emits_message_and_route_events(self) -> None:
         class ResearchRoute(BaseModel):
             intent: Literal["research", "converse", "end"]
@@ -493,7 +473,6 @@ class TestConversationalFlow:
         assert routes[0].user_message == "just chat"
         assert routes[0].session_id == messages[0].session_id
 
-    @conversational_graph_broken
     def test_builtin_end_marks_conversation_ended(self) -> None:
         class ResearchRoute(BaseModel):
             intent: Literal["research", "converse", "end"]
@@ -522,7 +501,6 @@ class TestConversationalFlow:
         assert flow.state.ended is True
         assert flow.state.messages[-1].content == "Conversation ended."
 
-    @conversational_graph_broken
     def test_router_auto_enables_when_custom_routes_declared_and_no_explicit_config(
         self,
     ) -> None:
@@ -555,7 +533,6 @@ class TestConversationalFlow:
         # Router LLM should have been invoked.
         assert router_llm.call.call_count >= 1
 
-    @conversational_graph_broken
     def test_router_auto_enable_skipped_when_only_builtin_routes(self) -> None:
         """No custom routes → no auto-enable; falls through to converse."""
 
@@ -573,7 +550,6 @@ class TestConversationalFlow:
         # chat_llm was used by converse_turn, not as a router.
         assert chat_llm.call.call_count == 1
 
-    @conversational_graph_broken
     def test_router_auto_enable_skipped_when_default_intents_set(self) -> None:
         """Legacy ``default_intents`` opts out of router auto-enable."""
 
@@ -594,9 +570,6 @@ class TestConversationalFlow:
         assert result == "legacy-searched"
         assert flow.state.last_intent == "search"
 
-    @pytest.mark.skip(
-        reason="Experimental conversational sequential-start behavior is out of scope for the definition-first start migration."
-    )
     def test_user_start_methods_run_sequentially_before_router_in_conversational_mode(
         self,
     ) -> None:
@@ -648,9 +621,6 @@ class TestConversationalFlow:
         assert "attach_bus" in order  # still fires every turn
         assert "route_turn" in order
 
-    @pytest.mark.skip(
-        reason="Experimental inherited conversational start registration is out of scope for the definition-first start migration."
-    )
     def test_subclass_can_override_conversation_start_without_redecorating(
         self,
     ) -> None:
@@ -658,7 +628,7 @@ class TestConversationalFlow:
 
         Before the metaclass fix, subclasses had to re-apply ``@start()`` on
         every override or the parent's ``conversation_start`` would silently
-        drop out of the start registry — leaving the flow with nothing to fire.
+        drop out of ``_start_methods`` — leaving the flow with nothing to fire.
         """
 
         bootstrap_calls: list[str] = []
@@ -678,12 +648,13 @@ class TestConversationalFlow:
                 return "worked"
 
         flow = BootstrapFlow()
+        assert "conversation_start" in flow._start_methods
+
         flow.handle_turn("hi")
 
         assert bootstrap_calls == ["ran"]
         assert flow.state.messages[-1].content == "worked"
 
-    @conversational_graph_broken
     def test_handle_turn_reruns_graph_after_prior_turn_completed(self) -> None:
         """Multi-turn must not flip ``_is_execution_resuming`` and short-circuit.
 
@@ -782,7 +753,6 @@ class TestConversationalFlow:
 
         assert catalog["BARE"] == ""
 
-    @conversational_graph_broken
     def test_router_messages_include_route_catalog(self) -> None:
         """The router system prompt must enumerate routes with descriptions."""
 
@@ -816,7 +786,6 @@ class TestConversationalFlow:
         assert "- converse: Ordinary chat" in system_message
         assert system_message.startswith("A research-focused assistant.")
 
-    @conversational_graph_broken
     def test_router_decision_persists_last_intent_and_passes_it_next_turn(
         self,
     ) -> None:
@@ -861,7 +830,6 @@ class TestConversationalFlow:
         ]
         assert '"last_intent": "research"' in second_call_user_content
 
-    @conversational_graph_broken
     def test_custom_route_still_runs_with_builtin_routes(self) -> None:
         class ResearchRoute(BaseModel):
             intent: Literal["research", "converse", "end"]
@@ -910,7 +878,6 @@ class TestConversationalFlow:
         assert flow.state.current_user_message is None
         assert flow.state.session_ready is False
 
-    @conversational_graph_broken
     def test_mixin_handle_turn_resolves_on_flow_subclass(self) -> None:
         """``Flow`` mixes in ``_ConversationalMixin`` — opt-in subclasses get its methods.
 
@@ -943,7 +910,6 @@ class TestConversationalFlow:
         flow.handle_turn("anything")
         assert flow.state.messages[-1].content == "worked"
 
-    @conversational_graph_broken
     def test_chat_runs_repl_over_handle_turn_and_finalizes(self) -> None:
         @ConversationConfig(defer_trace_finalization=False)
         class MyChat(ConversationalFlow):
@@ -984,7 +950,6 @@ class TestConversationalFlow:
         mock_finalize.assert_called_once_with()
         assert flow.defer_trace_finalization is False
 
-    @conversational_graph_broken
     def test_chat_stringifies_repl_output_like_conversation_helpers(self) -> None:
         class RawResult:
             raw = "raw assistant output"

lib/crewai/tests/test_flow_definition.py

@@ -8,7 +8,6 @@ import logging
 from pathlib import Path
 from typing import Annotated, Literal
 
-import pytest
 from pydantic import BaseModel
 
 import crewai.flow.dsl as flow_dsl
@@ -224,9 +223,6 @@ def test_flow_definition_excludes_conversational_builtins_for_regular_flows():
     assert "converse_turn" not in methods
 
 
-@pytest.mark.skip(
-    reason="Experimental conversational inherited built-ins are out of scope for the definition-first start migration."
-)
 def test_flow_definition_includes_conversational_builtins_when_enabled():
     class ChatFlow(Flow):
         conversational = True
@@ -302,9 +298,8 @@ def test_flow_definition_fragments_cover_start_listen_and_condition_sugar():
         "or": [{"and": ["manual_event", "by_string"]}, "fallback_event"]
     }
 
-    assert not hasattr(FragmentFlow.__dict__["begin"], "__is_start_method__")
-    assert not hasattr(FragmentFlow.__dict__["restart"], "__trigger_methods__")
-    assert "restart" not in FragmentFlow._listeners
+    assert set(FragmentFlow._start_methods) == {"begin", "restart"}
+    assert FragmentFlow._listeners["restart"] == ("OR", ["restart_event"])
     assert FragmentFlow._listeners["by_callable"] == ("OR", ["begin"])
     assert FragmentFlow._listeners["by_string"] == ("OR", ["manual_event"])
     assert FragmentFlow._listeners["by_and"] == {
@@ -354,7 +349,7 @@ def test_extract_flow_definition_prefers_fragments_over_legacy_metadata():
     assert router_emit == {"decide": ["done"]}
 
 
-def test_flow_definition_falls_back_to_legacy_listener_router_metadata_without_fragment():
+def test_flow_definition_falls_back_to_legacy_metadata_without_fragment():
     class LegacyMetadataFlow(Flow):
         @start()
         def begin(self):
@@ -368,7 +363,7 @@ def test_flow_definition_falls_back_to_legacy_listener_router_metadata_without_f
         def left(self):
             return "left"
 
-    for method_name in ("decide", "left"):
+    for method_name in ("begin", "decide", "left"):
         method = LegacyMetadataFlow.__dict__[method_name]
         delattr(method, "__flow_method_definition__")
 
@@ -818,7 +813,7 @@ def test_start_false_not_classified_as_start_method():
     assert viz_structure["nodes"]["handle"]["type"] != "start"
 
 
-def test_flow_definition_cache_is_not_reused_by_subclasses():
+def test_flow_definition_cache_is_not_inherited_by_subclasses():
     class ParentFlow(Flow):
         @start()
         def begin(self):
@@ -836,7 +831,7 @@ def test_flow_definition_cache_is_not_reused_by_subclasses():
     assert parent_definition.name == "ParentFlow"
     assert child_definition.name == "ChildFlow"
     assert child_definition is not parent_definition
-    assert set(child_definition.methods) == {"child_step"}
+    assert set(child_definition.methods) == {"begin", "child_step"}
 
 
 def test_flow_definition_logs_diagnostics_when_loaded_from_contract(caplog):

lib/crewai/tests/test_human_feedback_decorator.py

@@ -173,9 +173,7 @@ class TestDecoratorAttributePreservation:
         flow = TestFlow()
         method = flow._methods.get("my_start_method")
         assert method is not None
-        fragment = getattr(method, "__flow_method_definition__", None)
-        assert fragment is not None
-        assert fragment.start is True
+        assert hasattr(method, "__is_start_method__") or "my_start_method" in flow._start_methods
 
     def test_preserves_listen_method_attributes(self):
         """Test that @human_feedback preserves @listen decorator attributes."""

lib/devtools/src/crewai_devtools/__init__.py

@@ -1,3 +1,3 @@
 """CrewAI development tools."""
 
-__version__ = "1.14.7a3"
+__version__ = "1.14.7a2"

pyproject.toml

@@ -187,9 +187,6 @@ exclude-newer = "3 days"
 # urllib3 <2.7.0 has GHSA-qccp-gfcp-xxvc (ProxyManager cross-origin redirect leaks Authorization/Cookie) and GHSA-mf9v-mfxr-j63j (streaming decompression-bomb bypass); force 2.7.0+.
 # langsmith <0.8.0 has GHSA-3644-q5cj-c5c7 (public prompt manifest deserialization, SSRF/secret disclosure); force 0.8.0+.
 # authlib <1.6.12 has GHSA-jj8c-mmj3-mmgv (CSRF bypass in cache-based state storage) and PYSEC-2026-188.
-# pip 26.1.1 has PYSEC-2026-196; force 26.1.2+.
-# aiohttp <=3.13.x has GHSA-jg22-mg44-37j8, GHSA-hg6j-4rv6-33pg; fixed in 3.14.0; force 3.14.0+.
-# docling-core 2.74.0 has GHSA-j5xp-7m2f-49jv, GHSA-jmmv-h3mp-59v8; force 2.74.1+.
 # pip <26.1.1 has GHSA-58qw-9mgm-455v (archive handling); OSV considers 26.1.1 unaffected.
 # paramiko <5.0.0 has GHSA-r374-rxx8-8654 (SHA-1 in rsakey.py); OSV considers 5.0.0 unaffected. Transitive via composio-core.
 # starlette <1.0.1 has PYSEC-2026-161 (missing Host header validation poisons request.url.path, bypassing path-based auth). Transitive via fastapi.
@@ -211,12 +208,7 @@ override-dependencies = [
     "gitpython>=3.1.50,<4",
     "langsmith>=0.8.0,<1",
     "authlib>=1.6.12",
-    "pip>=26.1.2",
-    "aiohttp>=3.14.0",
-    # [chunking] carried here because override-dependencies replace the whole
-    # requirement; without it the docling extra's chunking deps get stripped.
-    "docling-core[chunking]>=2.74.1",
-    "pydantic-settings>=2.14.0",
+    "pip>=26.1.1",
     "paramiko>=5.0.0",
     "starlette>=1.0.1",
 ]

uv.lock

@@ -13,7 +13,7 @@ resolution-markers = [
 ]
 
 [options]
-exclude-newer = "2026-06-06T00:11:14.404922Z"
+exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
 exclude-newer-span = "P3D"
 
 [manifest]
@@ -26,10 +26,8 @@ members = [
     "crewai-tools",
 ]
 overrides = [
-    { name = "aiohttp", specifier = ">=3.14.0" },
     { name = "authlib", specifier = ">=1.6.12" },
     { name = "cryptography", specifier = ">=46.0.7" },
-    { name = "docling-core", extras = ["chunking"], specifier = ">=2.74.1" },
     { name = "gitpython", specifier = ">=3.1.50,<4" },
     { name = "langchain-core", specifier = ">=1.3.3,<2" },
     { name = "langchain-text-splitters", specifier = ">=1.1.2,<2" },
@@ -38,8 +36,7 @@ overrides = [
     { name = "openai", specifier = ">=2.30.0,<3" },
     { name = "paramiko", specifier = ">=5.0.0" },
     { name = "pillow", specifier = ">=12.1.1" },
-    { name = "pip", specifier = ">=26.1.2" },
-    { name = "pydantic-settings", specifier = ">=2.14.0" },
+    { name = "pip", specifier = ">=26.1.1" },
     { name = "pypdf", specifier = ">=6.10.2,<7" },
     { name = "python-multipart", specifier = ">=0.0.27,<1" },
     { name = "rich", specifier = ">=13.7.1" },
@@ -168,7 +165,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.14.0"
+version = "3.13.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -178,88 +175,78 @@ dependencies = [
     { name = "frozenlist" },
     { name = "multidict" },
     { name = "propcache" },
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ee/ab/93ce242f899b68c51b0578c027aafa791ab3614cb9345fa5d37b5f5c8e3e/aiohttp-3.14.0.tar.gz", hash = "sha256:2882de819734c715fd1b9c11c97e09fa020d14438203d1d354d8ed1702791c9b", size = 7940674, upload-time = "2026-06-01T19:41:02.763Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/45/4a/064321452809dae953c1ed6e017504e72551a26b6f5708a5a80e4bf556ff/aiohttp-3.13.4.tar.gz", hash = "sha256:d97a6d09c66087890c2ab5d49069e1e570583f7ac0314ecf98294c1b6aaebd38", size = 7859748, upload-time = "2026-03-28T17:19:40.6Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ef/f0/f81190ba488cd106c2fc6d92680e56bb223bbbbf1e6908c2617011290112/aiohttp-3.14.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:692e409052e7436029bbb32977cd7c5bf806ac5fa4085b973996785ffadad33c", size = 760606, upload-time = "2026-06-01T19:36:39.054Z" },
-    { url = "https://files.pythonhosted.org/packages/f6/54/444d37eebf0f15db661ca44ec7caf93962f3c5ca92eb4c9a5d888b70aaa2/aiohttp-3.14.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:40af7ebe53c7990e110dc4ad03566b12c3ac996254298a3d39046dd69cfcb2c2", size = 514677, upload-time = "2026-06-01T19:36:42.408Z" },
-    { url = "https://files.pythonhosted.org/packages/d0/d1/da280e23321c132c0a3fa7c8cc2830621d79174edc64c829443346489a36/aiohttp-3.14.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02cb2ffbb7da32f82e21ad9952669c45bd88a80e0878264c2f59fe1c6fb2badd", size = 510155, upload-time = "2026-06-01T19:36:44.072Z" },
-    { url = "https://files.pythonhosted.org/packages/09/b8/2e36d54d0991ec5bba451444004591ee0af58cb1662a3a81c562878b9c1f/aiohttp-3.14.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e2514cb7195f6d7c219339635bea71ae47d1569b051300d32df9dcfabcdb869", size = 1699947, upload-time = "2026-06-01T19:36:45.762Z" },
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