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Author SHA1 Message Date
Greyson LaLonde
21fa8e32d9 docs: update changelog and version for v1.14.7
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2026-06-11 10:13:40 -07:00
Greyson LaLonde
f18c03cd8f feat: bump versions to 1.14.7 2026-06-11 10:06:07 -07:00
Greyson LaLonde
50b9c02272 fix(checkpoint): rebuild custom BaseLLM as concrete LLM on restore
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A custom BaseLLM subclass serializes with the inherited llm_type "base",
which the registry maps to the abstract BaseLLM. Restore then crashed on
cls(**value). Rebuild a concrete LLM from the saved config when the
resolved class is abstract.
2026-06-10 22:21:35 -07:00
19 changed files with 2329 additions and 63 deletions

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@@ -4,6 +4,55 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
icon: "clock"
mode: "wide"
---
<Update label="11 يونيو 2026">
## v1.14.7
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7)
## ما الذي تغير
### الميزات
- إضافة واجهات خلفية افتراضية قابلة للتوصيل للذاكرة، والمعرفة، وrag، وflow.
- عرض السبب الحقيقي للإنهاء، ومعلمات العينة، وresponse.id في أحداث LLM.
- تصنيف مشغلات DSL كزخارف واعية للمسار.
- إضافة واجهة برمجة تطبيقات الدردشة لتدفقات المحادثة.
- جعل واجهة القفل قابلة للتجاوز.
- بناء FlowDefinition من بيانات التعريف الخاصة بـ Flow DSL.
- إضافة مزود LLM من Snowflake Cortex الأصلي.
- إضافة دعم لملفات الوكلاء المدربين من crew.
### إصلاحات الأخطاء
- إصلاح نقطة التحقق لإعادة بناء BaseLLM مخصص كـ LLM ملموس عند الاستعادة.
- تقييد الاستعادة على علامة لمنع اللقطات الحية من إعادة التشغيل كاستئناف.
- تحديد حالة وقت التشغيل لكل تشغيل للحد من النمو وعزل التشغيل المتزامن.
- إصلاح إعدادات التتبع على crewai-login.
- احترام suppress_flow_events لأحداث تنفيذ الطريقة.
- استعادة [project.scripts] في حزمة crewai لتثبيت أداة uv.
- حل مشكلات CVE الخاصة بـ pip-audit لـ aiohttp وdocling وdocling-core.
- إصلاح إدخال الملفات الذي لا يعمل بشكل موثوق.
- إصلاح تاريخ نتائج أدوات Snowflake Claude غير المكتملة.
### الوثائق
- تحديث سجل التغييرات والإصدار لـ v1.14.7.
- تحديث وثائق جامع OpenTelemetry.
- تحديث دليل NVIDIA Nemotron LLM.
- إضافة دليل تكامل Databricks.
- إضافة دليل تكامل Snowflake.
### الأداء
- تحسين سرعة استيراد crewai من خلال تحميل مستندات docling بشكل كسول.
### إعادة الهيكلة
- تبسيط تقييم شروط التدفق ليكون بلا حالة لكل حدث.
- فصل منطق المحادثة عن وقت التشغيل وإضافة تعريف المحادثة.
- تقسيم `flow.py` إلى DSL، وتعريف، ووقت تشغيل.
## المساهمون
@Luzk, @alex-clawd, @devin-ai-integration[bot], @greysonlalonde, @gvieira, @jessemiller, @lorenzejay, @lucasgomide, @mattatcha, @vinibrsl
</Update>
<Update label="10 يونيو 2026">
## v1.14.7rc2

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@@ -4,6 +4,55 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="Jun 11, 2026">
## v1.14.7
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7)
## What's Changed
### Features
- Add pluggable default backends for memory, knowledge, rag, and flow.
- Surface real finish_reason, sampling params, and response.id on LLM events.
- Type DSL triggers as route-aware decorators.
- Add chat API for conversational flows.
- Make locking backend overridable.
- Build FlowDefinition from Flow DSL metadata.
- Add native Snowflake Cortex LLM provider.
- Add crew trained agents file support.
### Bug Fixes
- Fix checkpoint to rebuild custom BaseLLM as concrete LLM on restore.
- Gate restore on a flag to prevent live snapshots from replaying as resume.
- Scope runtime state per run to bound growth and isolate concurrent runs.
- Fix telemetry setup on crewai-login.
- Respect suppress_flow_events for method-execution events.
- Restore [project.scripts] in crewai package for uv tool install.
- Resolve pip-audit CVEs for aiohttp, docling, and docling-core.
- Fix file input not working reliably.
- Fix Snowflake Claude incomplete tool result histories.
### Documentation
- Update changelog and version for v1.14.7.
- Update OpenTelemetry collector documentation.
- Update NVIDIA Nemotron LLM guide.
- Add Databricks integration guide.
- Add Snowflake integration guide.
### Performance
- Improve crewai import speed by lazy-loading docling imports.
### Refactoring
- Simplify flow condition evaluation to be stateless per event.
- Decouple convo logic from runtime and add a conversational_definition.
- Split `flow.py` into DSL, definition, and runtime.
## Contributors
@Luzk, @alex-clawd, @devin-ai-integration[bot], @greysonlalonde, @gvieira, @jessemiller, @lorenzejay, @lucasgomide, @mattatcha, @vinibrsl
</Update>
<Update label="Jun 10, 2026">
## v1.14.7rc2

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@@ -4,6 +4,55 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
icon: "clock"
mode: "wide"
---
<Update label="2026년 6월 11일">
## v1.14.7
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7)
## 변경 사항
### 기능
- 메모리, 지식, RAG 및 흐름에 대한 플러그 가능한 기본 백엔드를 추가했습니다.
- LLM 이벤트에서 실제 finish_reason, 샘플링 매개변수 및 response.id를 표시합니다.
- 경로 인식 장식자로서의 타입 DSL 트리거를 설정합니다.
- 대화 흐름을 위한 채팅 API를 추가했습니다.
- 잠금 백엔드를 재정의 가능하도록 만듭니다.
- Flow DSL 메타데이터에서 FlowDefinition을 빌드합니다.
- 네이티브 Snowflake Cortex LLM 공급자를 추가했습니다.
- 훈련된 에이전트 파일 지원을 추가했습니다.
### 버그 수정
- 복원 시 사용자 정의 BaseLLM을 구체적인 LLM으로 재구성하도록 체크포인트를 수정했습니다.
- 라이브 스냅샷이 재개로 재생되지 않도록 플래그를 사용하여 복원을 제한합니다.
- 실행마다 런타임 상태의 범위를 설정하여 성장을 제한하고 동시 실행을 격리합니다.
- crewai-login에서 텔레메트리 설정을 수정했습니다.
- 메서드 실행 이벤트에 대해 suppress_flow_events를 존중합니다.
- uv 도구 설치를 위해 crewai 패키지에서 [project.scripts]를 복원합니다.
- aiohttp, docling 및 docling-core에 대한 pip-audit CVE를 해결합니다.
- 파일 입력이 신뢰할 수 없게 작동하는 문제를 수정했습니다.
- Snowflake Claude의 불완전한 도구 결과 기록을 수정했습니다.
### 문서
- v1.14.7에 대한 변경 로그 및 버전을 업데이트했습니다.
- OpenTelemetry 수집기 문서를 업데이트했습니다.
- NVIDIA Nemotron LLM 가이드를 업데이트했습니다.
- Databricks 통합 가이드를 추가했습니다.
- Snowflake 통합 가이드를 추가했습니다.
### 성능
- docling 가져오기를 지연 로딩하여 crewai 가져오기 속도를 개선했습니다.
### 리팩토링
- 흐름 조건 평가를 이벤트별로 상태 비저장으로 단순화했습니다.
- 대화 논리를 런타임에서 분리하고 conversational_definition을 추가했습니다.
- `flow.py`를 DSL, 정의 및 런타임으로 분리했습니다.
## 기여자
@Luzk, @alex-clawd, @devin-ai-integration[bot], @greysonlalonde, @gvieira, @jessemiller, @lorenzejay, @lucasgomide, @mattatcha, @vinibrsl
</Update>
<Update label="2026년 6월 10일">
## v1.14.7rc2

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@@ -4,6 +4,55 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="11 jun 2026">
## v1.14.7
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.7)
## O que Mudou
### Recursos
- Adicionar backends padrão plugáveis para memória, conhecimento, rag e fluxo.
- Exibir o verdadeiro finish_reason, parâmetros de amostragem e response.id em eventos LLM.
- Tipar os gatilhos DSL como decoradores cientes de rotas.
- Adicionar API de chat para fluxos de conversa.
- Tornar o backend de bloqueio substituível.
- Construir FlowDefinition a partir de metadados Flow DSL.
- Adicionar provedor nativo Snowflake Cortex LLM.
- Adicionar suporte a arquivos de agentes treinados pela equipe.
### Correções de Bugs
- Corrigir checkpoint para reconstruir BaseLLM personalizado como LLM concreto na restauração.
- Controlar a restauração com uma flag para evitar que snapshots ao vivo sejam reproduzidos como retomar.
- Escopar o estado de execução por execução para limitar o crescimento e isolar execuções concorrentes.
- Corrigir configuração de telemetria no crewai-login.
- Respeitar suppress_flow_events para eventos de execução de método.
- Restaurar [project.scripts] no pacote crewai para instalação da ferramenta uv.
- Resolver CVEs de pip-audit para aiohttp, docling e docling-core.
- Corrigir entrada de arquivo que não estava funcionando de forma confiável.
- Corrigir histórias de resultados de ferramentas incompletas do Snowflake Claude.
### Documentação
- Atualizar changelog e versão para v1.14.7.
- Atualizar documentação do coletor OpenTelemetry.
- Atualizar guia do LLM NVIDIA Nemotron.
- Adicionar guia de integração do Databricks.
- Adicionar guia de integração do Snowflake.
### Desempenho
- Melhorar a velocidade de importação do crewai através do carregamento preguiçoso de imports do docling.
### Refatoração
- Simplificar a avaliação de condições de fluxo para ser sem estado por evento.
- Desacoplar a lógica de conversa da execução e adicionar uma conversational_definition.
- Dividir `flow.py` em DSL, definição e execução.
## Contribuidores
@Luzk, @alex-clawd, @devin-ai-integration[bot], @greysonlalonde, @gvieira, @jessemiller, @lorenzejay, @lucasgomide, @mattatcha, @vinibrsl
</Update>
<Update label="10 jun 2026">
## v1.14.7rc2

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@@ -8,7 +8,7 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.7rc2",
"crewai-core==1.14.7",
"click>=8.1.7,<9",
"pydantic>=2.11.9,<2.13",
"pydantic-settings~=2.10.1",

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@@ -1 +1 @@
__version__ = "1.14.7rc2"
__version__ = "1.14.7"

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@@ -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]==1.14.7rc2"
"crewai[tools]==1.14.7"
]
[project.scripts]

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@@ -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]==1.14.7rc2"
"crewai[tools]==1.14.7"
]
[project.scripts]

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@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.7rc2"
"crewai[tools]==1.14.7"
]
[tool.crewai]

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@@ -1 +1 @@
__version__ = "1.14.7rc2"
__version__ = "1.14.7"

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@@ -152,4 +152,4 @@ __all__ = [
"wrap_file_source",
]
__version__ = "1.14.7rc2"
__version__ = "1.14.7"

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@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
dependencies = [
"pytube~=15.0.0",
"requests>=2.33.0,<3",
"crewai==1.14.7rc2",
"crewai==1.14.7",
"tiktoken>=0.8.0,<0.13",
"beautifulsoup4~=4.13.4",
"python-docx~=1.2.0",

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@@ -330,4 +330,4 @@ __all__ = [
"ZapierActionTools",
]
__version__ = "1.14.7rc2"
__version__ = "1.14.7"

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@@ -8,8 +8,8 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.7rc2",
"crewai-cli==1.14.7rc2",
"crewai-core==1.14.7",
"crewai-cli==1.14.7",
# Core Dependencies
"pydantic>=2.11.9,<2.13",
"openai>=2.30.0,<3",
@@ -54,7 +54,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = [
"crewai-tools==1.14.7rc2",
"crewai-tools==1.14.7",
]
embeddings = [
"tiktoken>=0.8.0,<0.13"

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@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
_suppress_pydantic_deprecation_warnings()
__version__ = "1.14.7rc2"
__version__ = "1.14.7"
_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
"Memory": ("crewai.memory.unified_memory", "Memory"),

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@@ -82,6 +82,7 @@ _LLM_TYPE_REGISTRY: dict[str, str] = {
def _validate_llm_ref(value: Any) -> Any:
if isinstance(value, dict):
import importlib
import inspect
llm_type = value.get("llm_type")
if not llm_type or llm_type not in _LLM_TYPE_REGISTRY:
@@ -92,6 +93,12 @@ def _validate_llm_ref(value: Any) -> Any:
dotted = _LLM_TYPE_REGISTRY[llm_type]
mod_path, cls_name = dotted.rsplit(".", 1)
cls = getattr(importlib.import_module(mod_path), cls_name)
if inspect.isabstract(cls):
from crewai.llm import LLM
return LLM(
**{k: v for k, v in value.items() if v is not None and k != "llm_type"}
)
return cls(**value)
return value

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@@ -2,6 +2,7 @@
from __future__ import annotations
import inspect
import json
import os
import sqlite3
@@ -742,3 +743,26 @@ class TestCheckpointReusedExecutor:
assert len(result.tasks_output) == 2
assert result.tasks_output[1].raw
class TestCustomLLMCheckpointRestore:
"""A custom BaseLLM subclass serializes with the inherited llm_type "base".
Restoring it must not try to instantiate the abstract BaseLLM; it is rebuilt
as a concrete LLM from the saved config instead.
"""
def test_restore_does_not_instantiate_abstract_base_llm(self) -> None:
agent = Agent(role="r", goal="g", backstory="b", llm=_FinalAnswerLLM())
task = Task(description="d", expected_output="e", agent=agent)
crew = Crew(agents=[agent], tasks=[task], verbose=False)
raw = RuntimeState(root=[crew]).model_dump_json()
restored = RuntimeState.model_validate_json(
raw, context={"from_checkpoint": True}
)
llm = restored.root[0].agents[0].llm
assert isinstance(llm, BaseLLM)
assert not inspect.isabstract(type(llm))
assert llm.model == "stub"

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@@ -1,3 +1,3 @@
"""CrewAI development tools."""
__version__ = "1.14.7rc2"
__version__ = "1.14.7"