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Author SHA1 Message Date
Vinicius Brasil
9d0e3a841b docs: snapshot and changelog for v1.14.8a4 (#6319) 2026-06-24 09:19:33 -07:00
Vinicius Brasil
12a5e91efb feat: bump versions to 1.14.8a4 (#6318) 2026-06-24 09:14:14 -07:00
Rip&Tear
fac3e3579b Fix symlink path traversal in skill archive extraction (#6235)
* Fix symlink path traversal in skill archive extraction

`_safe_extractall` (the Python < 3.12 fallback used by `crewai skills`
archive unpacking) validated each member's *name* against the destination
but never validated symlink/hardlink *targets*. A malicious skill tarball
could plant a symlink escaping the destination (e.g. `link -> /home/user/.ssh`)
followed by a regular member written through it (`link/authorized_keys`),
escaping `dest` even though every member name resolves inside it — the
classic symlink-extraction traversal.

The 3.12+ path (`extractall(..., filter="data")`) already blocks this; the
fallback now mirrors it by rejecting absolute link targets and any link
target that resolves outside the destination directory.

Adds regression tests covering absolute and relative escaping symlinks plus
benign in-tree symlinks and ordinary archives.

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

* Harden skill cache archive extraction

* Reject special skill archive members

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-24 08:50:41 -07:00
Vinicius Brasil
a046e6a50b Validate declarative flow definition paths (#6311)
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2026-06-23 19:28:35 -07:00
Lorenze Jay
1862ff8f6c Support conversational flows in the CLI TUI (#6293)
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* Add conversational flow TUI support

* properly support tui
2026-06-23 18:04:09 -07:00
Vinicius Brasil
f2a074e35b docs: snapshot and changelog for v1.14.8a3 (#6310) 2026-06-23 14:11:31 -07:00
Vinicius Brasil
658b8ee8b9 feat: bump versions to 1.14.8a3 (#6309) 2026-06-23 14:05:23 -07:00
Vinicius Brasil
3452e5c187 Add unified declarative flow loading (#6308)
Add a single declaration loader shared by API and CLI callers.

- Add FlowDefinition.from_declaration for FlowDefinition instances, dictionaries, YAML/JSON strings, and file paths
- Add Flow.from_declaration to build runnable flows directly from the same inputs
- Route declarative flow CLI loading through Flow.from_declaration so path handling and validation stay centralized

```
# Load just the serializable definition when you do not need to run it yet.
definition = FlowDefinition.from_declaration(path="flows/research.crewai")
definition = FlowDefinition.from_declaration(contents=flow_yaml)
definition = FlowDefinition.from_declaration(contents=flow_dict)

# Build a runnable flow directly from the same declaration inputs.
flow = Flow.from_declaration(path="flows/research.crewai")
flow = Flow.from_declaration(contents=flow_yaml)
flow = Flow.from_declaration(contents=flow_dict)
flow = Flow.from_declaration(contents=definition)

# Run it like any other flow.
result = flow.kickoff(inputs={"topic": "AI agents"})

# The CLI now goes through the same path-based loader.
# crewai run --definition flows/research.crewai
```
2026-06-23 12:02:18 -07:00
Lucas Gomide
793539173d fix: pin opentelemetry to ~=1.42.0 (#6292)
The previous `~=1.34.0` pin kept us on the unmaintained 1.34 line —
last patched as `1.34.1` in June 2025, eight minor releases behind
upstream — and caused `_create_exp_backoff_generator` `ImportError`
crashes in factory deployments where the OpenTelemetry Operator's
injected init container shadows
`opentelemetry.exporter.otlp.proto.common._internal` with >=1.35 while
our `opentelemetry-exporter-otlp-proto-grpc==1.34.1` still imports the
removed private symbol. Pinning to `~=1.42.0` tracks the current
upstream stable line; the resolver now lands on 1.42.1 and our public
OTel trace API usage is unaffected.
2026-06-23 14:51:22 -04:00
40 changed files with 1682 additions and 265 deletions

View File

@@ -4,6 +4,57 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
icon: "clock"
mode: "wide"
---
<Update label="24 يونيو 2026">
## v1.14.8a4
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a4)
## ما الذي تغير
### الميزات
- دعم تدفقات المحادثة في واجهة سطر الأوامر TUI.
### إصلاحات الأخطاء
- إصلاح مسار التوجيه الرمزي في استخراج أرشيف المهارات.
- التحقق من صحة مسارات تعريف التدفق الإعلاني.
### الوثائق
- تحديث اللقطة وسجل التغييرات للإصدار v1.14.8a3.
## المساهمون
@lorenzejay, @theCyberTech, @vinibrsl
</Update>
<Update label="23 يونيو 2026">
## v1.14.8a3
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## ما الذي تغير
### الميزات
- إضافة تحميل تدفق موحد إعلاني
- تحسين تجربة بدء تشغيل crewai run
- دمج `crewai run` و `crewai flow kickoff`
- الحفاظ على تقدم طريقة التدفق مرئيًا للفرق المتداخلة
- إضافة دعم واجهة سطر الأوامر الإعلانية للتدفق
- السماح باستخدام `@router()` كطريقة بدء لتدفق
- إضافة مخططات مخرجات مكتوبة لأدوات CrewAI
### إصلاحات الأخطاء
- تثبيت opentelemetry على ~=1.42.0
### الوثائق
- إضافة صفحة استوديو "بطاقة واحدة لكل خطوة"
## المساهمون
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="18 يونيو 2026">
## v1.14.8a2

View File

@@ -21,11 +21,12 @@ CrewAI supports two log-ingestion paths to Datadog — both are first-class and
<Tabs>
<Tab title="Datadog Agent">
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. Each log event ships as a single billable line with structured attributes — see the [log schema reference](#log-schema-reference) for the full field contract.
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. With `CREWAI_LOG_FORMAT=json` set, each log event ships as a single billable line with structured attributes.
**Setup:**
1. Run the Datadog Agent next to your CrewAI containers — see [Datadog's deployment docs](https://docs.datadoghq.com/agent/) for Kubernetes, ECS, or VM setup. Enable log collection (`logs_enabled: true`) and container log collection (`logs_config.container_collect_all: true`).
2. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
2. Set `CREWAI_LOG_FORMAT=json` as an **automation environment variable** in CrewAI AMP (open your automation → **Settings → Environment Variables**) so each log event is a single line instead of a multi-line traceback. AMP propagates the value to every container in the deployment (API + workers) — don't set it on the container or host directly. See [Enabling JSON output](#enabling-json-output) below for the AMP UI walkthrough and the [log schema reference](#log-schema-reference) for the full field contract.
3. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
**Pick this path if** you already operate Datadog Agents (e.g. for infrastructure metrics), or your log volume makes per-event ingestion cost a real concern — collapsing tracebacks into single events keeps Agent ingestion cheap at scale.
</Tab>
@@ -56,10 +57,10 @@ Either path lands the same structured facets in Datadog (`@automation_id`, `@kic
## Log schema reference
<Info>
This schema applies to the **Datadog Agent path** — structured stdout JSON logs emitted by every CrewAI worker container. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
This schema applies to the **Datadog Agent path** — stdout JSON logs produced when `CREWAI_LOG_FORMAT=json` is set. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
</Info>
Every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
When `CREWAI_LOG_FORMAT=json` is set, every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
### Why JSON output
@@ -78,6 +79,20 @@ Every log event is emitted as a **single JSON object per line** to stdout, with
</Card>
</CardGroup>
### Enabling JSON output
`CREWAI_LOG_FORMAT=json` must be set as an **automation environment variable** in CrewAI AMP — it is **not** a container, host, or Docker setting. Open your automation in AMP, click the **Settings** icon, and add the variable under the **Environment Variables** section. AMP applies the value to every container in the deployment (API + workers) on the next restart. See [Update Your Crew](./update-crew) for the full UI walkthrough with screenshots.
```shell
CREWAI_LOG_FORMAT=json
```
Restart the deployment to pick up the change. Every log line on stdout from that point on is a single JSON object.
<Note>
The default value is `text`, which preserves the legacy human-readable line format byte-for-byte. Setting any value other than `json` falls back to text mode. There is no migration step — the variable is read at process start and the format switches immediately.
</Note>
### Example events
A single info-level log inside an active automation kickoff:
@@ -120,7 +135,7 @@ An error with a Python exception is collapsed into a single event with the trace
}
```
Without JSON output, that same error would produce ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
The same error in legacy text mode would have produced ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
### Schema v1 fields
@@ -222,7 +237,7 @@ Open [Logs Explorer](https://app.datadoghq.com/logs) and run a query that matche
<Tab title="Datadog Agent">
Search `service:crewai* @schema:v1`. You should see structured logs with the JSON fields parsed into Datadog facets. Pick a recent event and verify it has `@automation_id`, `@kickoff_id`, `@execution_id`, `@crewai_version`, and (when running inside a span) `@trace_id` / `@span_id` populated.
If nothing appears, confirm the Datadog Agent is tailing container stdout and that the deployment is running a recent enough CrewAI Enterprise build.
If nothing appears, confirm `CREWAI_LOG_FORMAT=json` is set under your automation's **Environment Variables** in AMP, the deployment was restarted after the change, and the Datadog Agent is tailing container stdout.
</Tab>
<Tab title="Datadog OTLP intake">
Search `source:otlp service:crewai*`. OTLP attributes land with their OpenTelemetry names (`automation_id`, `crewai.kickoff.id`, etc.) rather than the stdout JSON keys, but they map to the same dashboard facets after [facet promotion](#prerequisite-promote-facets).
@@ -265,7 +280,7 @@ The `$service` template variable defaults to `*` and will catch every CrewAI dep
| All widgets show "No data" | Facets aren't promoted | Re-do the [Promote facets](#prerequisite-promote-facets) step. Datadog won't query against an un-promoted field. |
| Error Rate widget shows `NaN` | No executions in the time window | Either no traffic, or `@execution_id` isn't faceted. Expand the time range and re-check facets. |
| Throughput chart is flat at the same value | Logs aren't reaching Datadog | Search `service:crewai*` in Logs Explorer. If nothing shows, verify the Datadog Agent is running (Agent path) or the OTel collector endpoint is correct (OTLP path). |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments (pre-structured-logs AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments running text mode (or older AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| Template variables don't filter widgets | The widget's filter line doesn't reference the template variable | Edit the widget and confirm the search includes `$automation $version $service`. |
## Next steps

View File

@@ -4,6 +4,57 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="Jun 24, 2026">
## v1.14.8a4
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a4)
## What's Changed
### Features
- Support conversational flows in the CLI TUI.
### Bug Fixes
- Fix symlink path traversal in skill archive extraction.
- Validate declarative flow definition paths.
### Documentation
- Update snapshot and changelog for v1.14.8a3.
## Contributors
@lorenzejay, @theCyberTech, @vinibrsl
</Update>
<Update label="Jun 23, 2026">
## v1.14.8a3
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## What's Changed
### Features
- Add unified declarative flow loading
- Improve crewai run startup UX
- Consolidate `crewai run` and `crewai flow kickoff`
- Keep flow method progress visible for nested crews
- Add declarative Flow CLI support
- Allow `@router()` as start method of a flow
- Add typed output schemas for CrewAI tools
### Bug Fixes
- Pin opentelemetry to ~=1.42.0
### Documentation
- Add "One Card per Step" Studio page
## Contributors
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="Jun 18, 2026">
## v1.14.8a2

View File

@@ -17,11 +17,12 @@ CrewAI supports two log-ingestion paths to Datadog — both are first-class and
<Tabs>
<Tab title="Datadog Agent">
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. Each log event ships as a single billable line with structured attributes — see the [log schema reference](#log-schema-reference) for the full field contract.
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. With `CREWAI_LOG_FORMAT=json` set, each log event ships as a single billable line with structured attributes.
**Setup:**
1. Run the Datadog Agent next to your CrewAI containers — see [Datadog's deployment docs](https://docs.datadoghq.com/agent/) for Kubernetes, ECS, or VM setup. Enable log collection (`logs_enabled: true`) and container log collection (`logs_config.container_collect_all: true`).
2. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
2. Set `CREWAI_LOG_FORMAT=json` as an **automation environment variable** in CrewAI AMP (open your automation → **Settings → Environment Variables**) so each log event is a single line instead of a multi-line traceback. AMP propagates the value to every container in the deployment (API + workers) — don't set it on the container or host directly. See [Enabling JSON output](#enabling-json-output) below for the AMP UI walkthrough and the [log schema reference](#log-schema-reference) for the full field contract.
3. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
**Pick this path if** you already operate Datadog Agents (e.g. for infrastructure metrics), or your log volume makes per-event ingestion cost a real concern — collapsing tracebacks into single events keeps Agent ingestion cheap at scale.
</Tab>
@@ -52,10 +53,10 @@ Either path lands the same structured facets in Datadog (`@automation_id`, `@kic
## Log schema reference
<Info>
This schema applies to the **Datadog Agent path** — structured stdout JSON logs emitted by every CrewAI worker container. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
This schema applies to the **Datadog Agent path** — stdout JSON logs produced when `CREWAI_LOG_FORMAT=json` is set. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
</Info>
Every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
When `CREWAI_LOG_FORMAT=json` is set, every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
### Why JSON output
@@ -74,6 +75,20 @@ Every log event is emitted as a **single JSON object per line** to stdout, with
</Card>
</CardGroup>
### Enabling JSON output
`CREWAI_LOG_FORMAT=json` must be set as an **automation environment variable** in CrewAI AMP — it is **not** a container, host, or Docker setting. Open your automation in AMP, click the **Settings** icon, and add the variable under the **Environment Variables** section. AMP applies the value to every container in the deployment (API + workers) on the next restart. See [Update Your Crew](./update-crew) for the full UI walkthrough with screenshots.
```shell
CREWAI_LOG_FORMAT=json
```
Restart the deployment to pick up the change. Every log line on stdout from that point on is a single JSON object.
<Note>
The default value is `text`, which preserves the legacy human-readable line format byte-for-byte. Setting any value other than `json` falls back to text mode. There is no migration step — the variable is read at process start and the format switches immediately.
</Note>
### Example events
A single info-level log inside an active automation kickoff:
@@ -116,7 +131,7 @@ An error with a Python exception is collapsed into a single event with the trace
}
```
Without JSON output, that same error would produce ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
The same error in legacy text mode would have produced ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
### Schema v1 fields
@@ -218,7 +233,7 @@ Open [Logs Explorer](https://app.datadoghq.com/logs) and run a query that matche
<Tab title="Datadog Agent">
Search `service:crewai* @schema:v1`. You should see structured logs with the JSON fields parsed into Datadog facets. Pick a recent event and verify it has `@automation_id`, `@kickoff_id`, `@execution_id`, `@crewai_version`, and (when running inside a span) `@trace_id` / `@span_id` populated.
If nothing appears, confirm the Datadog Agent is tailing container stdout and that the deployment is running a recent enough CrewAI Enterprise build.
If nothing appears, confirm `CREWAI_LOG_FORMAT=json` is set under your automation's **Environment Variables** in AMP, the deployment was restarted after the change, and the Datadog Agent is tailing container stdout.
</Tab>
<Tab title="Datadog OTLP intake">
Search `source:otlp service:crewai*`. OTLP attributes land with their OpenTelemetry names (`automation_id`, `crewai.kickoff.id`, etc.) rather than the stdout JSON keys, but they map to the same dashboard facets after [facet promotion](#prerequisite-promote-facets).
@@ -261,7 +276,7 @@ The `$service` template variable defaults to `*` and will catch every CrewAI dep
| All widgets show "No data" | Facets aren't promoted | Re-do the [Promote facets](#prerequisite-promote-facets) step. Datadog won't query against an un-promoted field. |
| Error Rate widget shows `NaN` | No executions in the time window | Either no traffic, or `@execution_id` isn't faceted. Expand the time range and re-check facets. |
| Throughput chart is flat at the same value | Logs aren't reaching Datadog | Search `service:crewai*` in Logs Explorer. If nothing shows, verify the Datadog Agent is running (Agent path) or the OTel collector endpoint is correct (OTLP path). |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments (pre-structured-logs AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments running text mode (or older AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| Template variables don't filter widgets | The widget's filter line doesn't reference the template variable | Edit the widget and confirm the search includes `$automation $version $service`. |
## Next steps

View File

@@ -4,6 +4,57 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
icon: "clock"
mode: "wide"
---
<Update label="2026년 6월 24일">
## v1.14.8a4
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a4)
## 변경 사항
### 기능
- CLI TUI에서 대화형 흐름 지원.
### 버그 수정
- 기술 아카이브 추출 시 심볼릭 링크 경로 탐색 문제 수정.
- 선언적 흐름 정의 경로 검증.
### 문서
- v1.14.8a3에 대한 스냅샷 및 변경 로그 업데이트.
## 기여자
@lorenzejay, @theCyberTech, @vinibrsl
</Update>
<Update label="2026년 6월 23일">
## v1.14.8a3
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## 변경 사항
### 기능
- 통합 선언적 흐름 로딩 추가
- crewai run 시작 UX 개선
- `crewai run`과 `crewai flow kickoff` 통합
- 중첩된 크루의 흐름 메서드 진행 상황 표시 유지
- 선언적 Flow CLI 지원 추가
- 흐름의 시작 메서드로 `@router()` 허용
- CrewAI 도구에 대한 타입이 지정된 출력 스키마 추가
### 버그 수정
- opentelemetry를 ~=1.42.0으로 고정
### 문서
- "단계당 한 카드" 스튜디오 페이지 추가
## 기여자
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="2026년 6월 18일">
## v1.14.8a2

View File

@@ -21,11 +21,12 @@ CrewAI supports two log-ingestion paths to Datadog — both are first-class and
<Tabs>
<Tab title="Datadog Agent">
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. Each log event ships as a single billable line with structured attributes — see the [log schema reference](#log-schema-reference) for the full field contract.
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. With `CREWAI_LOG_FORMAT=json` set, each log event ships as a single billable line with structured attributes.
**Setup:**
1. Run the Datadog Agent next to your CrewAI containers — see [Datadog's deployment docs](https://docs.datadoghq.com/agent/) for Kubernetes, ECS, or VM setup. Enable log collection (`logs_enabled: true`) and container log collection (`logs_config.container_collect_all: true`).
2. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
2. Set `CREWAI_LOG_FORMAT=json` as an **automation environment variable** in CrewAI AMP (open your automation → **Settings → Environment Variables**) so each log event is a single line instead of a multi-line traceback. AMP propagates the value to every container in the deployment (API + workers) — don't set it on the container or host directly. See [Enabling JSON output](#enabling-json-output) below for the AMP UI walkthrough and the [log schema reference](#log-schema-reference) for the full field contract.
3. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
**Pick this path if** you already operate Datadog Agents (e.g. for infrastructure metrics), or your log volume makes per-event ingestion cost a real concern — collapsing tracebacks into single events keeps Agent ingestion cheap at scale.
</Tab>
@@ -56,10 +57,10 @@ Either path lands the same structured facets in Datadog (`@automation_id`, `@kic
## Log schema reference
<Info>
This schema applies to the **Datadog Agent path** — structured stdout JSON logs emitted by every CrewAI worker container. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
This schema applies to the **Datadog Agent path** — stdout JSON logs produced when `CREWAI_LOG_FORMAT=json` is set. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
</Info>
Every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
When `CREWAI_LOG_FORMAT=json` is set, every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
### Why JSON output
@@ -78,6 +79,20 @@ Every log event is emitted as a **single JSON object per line** to stdout, with
</Card>
</CardGroup>
### Enabling JSON output
`CREWAI_LOG_FORMAT=json` must be set as an **automation environment variable** in CrewAI AMP — it is **not** a container, host, or Docker setting. Open your automation in AMP, click the **Settings** icon, and add the variable under the **Environment Variables** section. AMP applies the value to every container in the deployment (API + workers) on the next restart. See [Update Your Crew](./update-crew) for the full UI walkthrough with screenshots.
```shell
CREWAI_LOG_FORMAT=json
```
Restart the deployment to pick up the change. Every log line on stdout from that point on is a single JSON object.
<Note>
The default value is `text`, which preserves the legacy human-readable line format byte-for-byte. Setting any value other than `json` falls back to text mode. There is no migration step — the variable is read at process start and the format switches immediately.
</Note>
### Example events
A single info-level log inside an active automation kickoff:
@@ -120,7 +135,7 @@ An error with a Python exception is collapsed into a single event with the trace
}
```
Without JSON output, that same error would produce ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
The same error in legacy text mode would have produced ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
### Schema v1 fields
@@ -222,7 +237,7 @@ Open [Logs Explorer](https://app.datadoghq.com/logs) and run a query that matche
<Tab title="Datadog Agent">
Search `service:crewai* @schema:v1`. You should see structured logs with the JSON fields parsed into Datadog facets. Pick a recent event and verify it has `@automation_id`, `@kickoff_id`, `@execution_id`, `@crewai_version`, and (when running inside a span) `@trace_id` / `@span_id` populated.
If nothing appears, confirm the Datadog Agent is tailing container stdout and that the deployment is running a recent enough CrewAI Enterprise build.
If nothing appears, confirm `CREWAI_LOG_FORMAT=json` is set under your automation's **Environment Variables** in AMP, the deployment was restarted after the change, and the Datadog Agent is tailing container stdout.
</Tab>
<Tab title="Datadog OTLP intake">
Search `source:otlp service:crewai*`. OTLP attributes land with their OpenTelemetry names (`automation_id`, `crewai.kickoff.id`, etc.) rather than the stdout JSON keys, but they map to the same dashboard facets after [facet promotion](#prerequisite-promote-facets).
@@ -265,7 +280,7 @@ The `$service` template variable defaults to `*` and will catch every CrewAI dep
| All widgets show "No data" | Facets aren't promoted | Re-do the [Promote facets](#prerequisite-promote-facets) step. Datadog won't query against an un-promoted field. |
| Error Rate widget shows `NaN` | No executions in the time window | Either no traffic, or `@execution_id` isn't faceted. Expand the time range and re-check facets. |
| Throughput chart is flat at the same value | Logs aren't reaching Datadog | Search `service:crewai*` in Logs Explorer. If nothing shows, verify the Datadog Agent is running (Agent path) or the OTel collector endpoint is correct (OTLP path). |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments (pre-structured-logs AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments running text mode (or older AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| Template variables don't filter widgets | The widget's filter line doesn't reference the template variable | Edit the widget and confirm the search includes `$automation $version $service`. |
## Next steps

View File

@@ -4,6 +4,57 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="24 jun 2026">
## v1.14.8a4
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a4)
## O que Mudou
### Recursos
- Suporte a fluxos de conversa na TUI do CLI.
### Correções de Bugs
- Corrigir a travessia de caminho de symlink na extração de arquivo de habilidade.
- Validar os caminhos de definição de fluxo declarativo.
### Documentação
- Atualizar snapshot e changelog para v1.14.8a3.
## Contribuidores
@lorenzejay, @theCyberTech, @vinibrsl
</Update>
<Update label="23 jun 2026">
## v1.14.8a3
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## O que Mudou
### Recursos
- Adicionar carregamento de fluxo declarativo unificado
- Melhorar a experiência de inicialização do crewai run
- Consolidar `crewai run` e `crewai flow kickoff`
- Manter o progresso do método de fluxo visível para equipes aninhadas
- Adicionar suporte a Flow CLI declarativo
- Permitir `@router()` como método de início de um fluxo
- Adicionar esquemas de saída tipados para ferramentas CrewAI
### Correções de Bugs
- Fixar opentelemetry em ~=1.42.0
### Documentação
- Adicionar página "Uma Cartão por Etapa" no Studio
## Contribuidores
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="18 jun 2026">
## v1.14.8a2

View File

@@ -21,11 +21,12 @@ CrewAI supports two log-ingestion paths to Datadog — both are first-class and
<Tabs>
<Tab title="Datadog Agent">
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. Each log event ships as a single billable line with structured attributes — see the [log schema reference](#log-schema-reference) for the full field contract.
The Datadog Agent runs alongside your CrewAI containers (typically as a DaemonSet on Kubernetes) and tails their stdout. With `CREWAI_LOG_FORMAT=json` set, each log event ships as a single billable line with structured attributes.
**Setup:**
1. Run the Datadog Agent next to your CrewAI containers — see [Datadog's deployment docs](https://docs.datadoghq.com/agent/) for Kubernetes, ECS, or VM setup. Enable log collection (`logs_enabled: true`) and container log collection (`logs_config.container_collect_all: true`).
2. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
2. Set `CREWAI_LOG_FORMAT=json` as an **automation environment variable** in CrewAI AMP (open your automation → **Settings → Environment Variables**) so each log event is a single line instead of a multi-line traceback. AMP propagates the value to every container in the deployment (API + workers) — don't set it on the container or host directly. See [Enabling JSON output](#enabling-json-output) below for the AMP UI walkthrough and the [log schema reference](#log-schema-reference) for the full field contract.
3. Confirm logs arrive in Datadog Logs with the JSON fields parsed — see [Verify ingestion](#verify-ingestion).
**Pick this path if** you already operate Datadog Agents (e.g. for infrastructure metrics), or your log volume makes per-event ingestion cost a real concern — collapsing tracebacks into single events keeps Agent ingestion cheap at scale.
</Tab>
@@ -56,10 +57,10 @@ Either path lands the same structured facets in Datadog (`@automation_id`, `@kic
## Log schema reference
<Info>
This schema applies to the **Datadog Agent path** — structured stdout JSON logs emitted by every CrewAI worker container. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
This schema applies to the **Datadog Agent path** — stdout JSON logs produced when `CREWAI_LOG_FORMAT=json` is set. Logs delivered via the **Datadog OTLP intake** use OpenTelemetry attribute names and may differ; see [OpenTelemetry Export](./capture_telemetry_logs).
</Info>
Every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
When `CREWAI_LOG_FORMAT=json` is set, every log event is emitted as a **single JSON object per line** to stdout, with internal newlines escaped. The format is plain JSON — Datadog parses it natively, and the same payload is also consumable by Splunk, Loki, Elasticsearch, and CloudWatch without custom log pipelines.
### Why JSON output
@@ -78,6 +79,20 @@ Every log event is emitted as a **single JSON object per line** to stdout, with
</Card>
</CardGroup>
### Enabling JSON output
`CREWAI_LOG_FORMAT=json` must be set as an **automation environment variable** in CrewAI AMP — it is **not** a container, host, or Docker setting. Open your automation in AMP, click the **Settings** icon, and add the variable under the **Environment Variables** section. AMP applies the value to every container in the deployment (API + workers) on the next restart. See [Update Your Crew](./update-crew) for the full UI walkthrough with screenshots.
```shell
CREWAI_LOG_FORMAT=json
```
Restart the deployment to pick up the change. Every log line on stdout from that point on is a single JSON object.
<Note>
The default value is `text`, which preserves the legacy human-readable line format byte-for-byte. Setting any value other than `json` falls back to text mode. There is no migration step — the variable is read at process start and the format switches immediately.
</Note>
### Example events
A single info-level log inside an active automation kickoff:
@@ -120,7 +135,7 @@ An error with a Python exception is collapsed into a single event with the trace
}
```
Without JSON output, that same error would produce ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
The same error in legacy text mode would have produced ~25 separate log events (one per traceback line) — all of which the backend would bill and index individually.
### Schema v1 fields
@@ -222,7 +237,7 @@ Open [Logs Explorer](https://app.datadoghq.com/logs) and run a query that matche
<Tab title="Datadog Agent">
Search `service:crewai* @schema:v1`. You should see structured logs with the JSON fields parsed into Datadog facets. Pick a recent event and verify it has `@automation_id`, `@kickoff_id`, `@execution_id`, `@crewai_version`, and (when running inside a span) `@trace_id` / `@span_id` populated.
If nothing appears, confirm the Datadog Agent is tailing container stdout and that the deployment is running a recent enough CrewAI Enterprise build.
If nothing appears, confirm `CREWAI_LOG_FORMAT=json` is set under your automation's **Environment Variables** in AMP, the deployment was restarted after the change, and the Datadog Agent is tailing container stdout.
</Tab>
<Tab title="Datadog OTLP intake">
Search `source:otlp service:crewai*`. OTLP attributes land with their OpenTelemetry names (`automation_id`, `crewai.kickoff.id`, etc.) rather than the stdout JSON keys, but they map to the same dashboard facets after [facet promotion](#prerequisite-promote-facets).
@@ -265,7 +280,7 @@ The `$service` template variable defaults to `*` and will catch every CrewAI dep
| All widgets show "No data" | Facets aren't promoted | Re-do the [Promote facets](#prerequisite-promote-facets) step. Datadog won't query against an un-promoted field. |
| Error Rate widget shows `NaN` | No executions in the time window | Either no traffic, or `@execution_id` isn't faceted. Expand the time range and re-check facets. |
| Throughput chart is flat at the same value | Logs aren't reaching Datadog | Search `service:crewai*` in Logs Explorer. If nothing shows, verify the Datadog Agent is running (Agent path) or the OTel collector endpoint is correct (OTLP path). |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments (pre-structured-logs AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| `crewai_version` shows fewer values than expected | Some containers predate the structured-logs work | The `crewai_version` field was added alongside JSON output. Older deployments running text mode (or older AMP builds) won't emit it. Upgrade those deployments to pick up the field. See the [log schema reference](#log-schema-reference) for the full field contract. |
| Template variables don't filter widgets | The widget's filter line doesn't reference the template variable | Edit the widget and confirm the search includes `$automation $version $service`. |
## Next steps

View File

@@ -8,7 +8,7 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a2",
"crewai-core==1.14.8a4",
"click>=8.1.7,<9",
"pydantic>=2.11.9,<2.13",
"pydantic-settings~=2.10.1",

View File

@@ -1 +1 @@
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"

View File

@@ -17,7 +17,7 @@ from textual.binding import Binding, BindingType
from textual.containers import Horizontal, Vertical, VerticalScroll
from textual.css.query import NoMatches
from textual.screen import ModalScreen
from textual.widgets import Button, Footer, Header, Static
from textual.widgets import Button, Footer, Header, Input, Static
_SPINNER = "⠋⠙⠹⠸⠼⠴⠦⠧⠇⠏"
@@ -382,6 +382,18 @@ Screen {
height: auto;
}
#conversation-input {
display: none;
height: 3;
border-top: hkey #333333;
background: #1c1c1c;
color: #e0e0e0;
}
#conversation-input:focus {
border-top: hkey #1F7982;
}
Header {
background: #1c1c1c;
color: #FF5A50;
@@ -483,6 +495,7 @@ FooterKey .footer-key--key {
total_tasks: int = 0,
agent_names: list[str] | None = None,
task_names: list[str] | None = None,
conversational: bool = False,
):
super().__init__()
self.title = f"CrewAI — {crew_name}"
@@ -544,6 +557,13 @@ FooterKey .footer-key--key {
self._event_handlers: list[tuple[type, Any]] = []
self._crew: Any = None
self._flow: Any = None
self._is_conversational = conversational
self._conversation_messages: list[tuple[str, str]] = []
self._conversation_turns = 0
self._conversation_turn_in_progress = False
self._conversation_previous_defer_trace_finalization: bool | None = None
self._conversation_exit_commands = {"exit", "quit"}
self._default_inputs: dict[str, Any] | None = None
self._crew_result: Any = None
self._crew_json_path: Any = None
@@ -566,6 +586,10 @@ FooterKey .footer-key--key {
yield Static(id="task-header")
with VerticalScroll(id="scroll-area"):
yield Static(id="main-content")
yield Input(
placeholder="Message the flow...",
id="conversation-input",
)
with VerticalScroll(id="log-panel"):
yield Static(id="log-content")
yield Footer()
@@ -574,7 +598,9 @@ FooterKey .footer-key--key {
self._start_time = time.time()
self._subscribe()
self._tick_timer = self.set_interval(1 / 8, self._tick)
if self._crew:
if self._is_conversational and self._flow:
self._start_conversational_session()
elif self._crew:
self._run_crew_worker()
elif self._crew_json_path:
self._load_and_run_worker()
@@ -725,6 +751,140 @@ FooterKey .footer-key--key {
self._tick_timer = self.set_interval(1 / 2, self._tick)
self._unsubscribe_if_no_running_memory_save(wait_for_queued=True)
# ── Conversational flow execution ───────────────────────
def _start_conversational_session(self) -> None:
from crewai.events.listeners.tracing.utils import (
set_suppress_tracing_messages,
set_tui_mode,
)
set_tui_mode(True)
set_suppress_tracing_messages(True)
with self._lock:
self._status = "chatting"
self._current_step = None
self._elapsed_frozen = None
self._conversation_previous_defer_trace_finalization = getattr(
self._flow, "defer_trace_finalization", False
)
self._flow.defer_trace_finalization = True
try:
input_widget = self.query_one("#conversation-input", Input)
input_widget.display = True
input_widget.focus()
except Exception: # noqa: S110
pass
def _finalize_conversational_session(self) -> None:
if not (self._is_conversational and self._flow):
return
try:
self._flow.finalize_session_traces()
except Exception: # noqa: S110
pass
previous = self._conversation_previous_defer_trace_finalization
if previous is not None:
try:
self._flow.defer_trace_finalization = previous
except Exception: # noqa: S110
pass
def on_input_submitted(self, event: Input.Submitted) -> None:
if event.input.id != "conversation-input":
return
if not self._is_conversational:
return
message = event.value.strip()
event.input.value = ""
if not message:
return
if message.lower() in self._conversation_exit_commands:
self._finalize_conversational_session()
self._unsubscribe()
self.exit(self._crew_result)
return
if self._conversation_turn_in_progress:
return
with self._lock:
self._conversation_messages.append(("user", message))
self._conversation_turn_in_progress = True
self._conversation_turns += 1
self._status = "working"
self._current_step = ("yellow", "Thinking…", "")
self._is_streaming = False
self._streaming_text = ""
self._task_full_output = ""
self._current_llm_text = ""
event.input.disabled = True
self._run_conversation_turn_worker(message)
@work(thread=True, exclusive=True, group="conversation")
def _run_conversation_turn_worker(self, message: str) -> None:
from crewai.events.listeners.tracing.utils import (
set_suppress_tracing_messages,
set_tui_mode,
)
set_tui_mode(True)
set_suppress_tracing_messages(True)
try:
result = self._flow.handle_turn(message)
if hasattr(result, "get_full_text") and hasattr(result, "result"):
for _chunk in result:
pass
result = result.result
self.call_from_thread(self._on_conversation_turn_done, result)
except Exception as e:
self.call_from_thread(self._on_conversation_turn_failed, str(e))
def _on_conversation_turn_done(self, result: Any) -> None:
with self._lock:
output = self._stringify_output(result)
self._conversation_messages.append(("assistant", output))
self._crew_result = result
self._conversation_turn_in_progress = False
self._status = "chatting"
self._is_streaming = False
self._streaming_text = ""
self._current_step = None
self._enable_conversation_input()
self._tick()
self._scroll_to_result()
def _on_conversation_turn_failed(self, error: str) -> None:
with self._lock:
self._status = "failed"
self._error = error
self._conversation_turn_in_progress = False
self._is_streaming = False
self._current_step = None
self._enable_conversation_input()
self._tick()
def _enable_conversation_input(self) -> None:
try:
input_widget = self.query_one("#conversation-input", Input)
input_widget.disabled = False
input_widget.focus()
except Exception: # noqa: S110
pass
def _stringify_output(self, result: Any) -> str:
raw_result = getattr(result, "raw", result)
if raw_result is None:
return ""
if isinstance(raw_result, str):
return raw_result
try:
return _json.dumps(raw_result, default=str, ensure_ascii=False)
except TypeError:
return str(raw_result)
# ── Actions ─────────────────────────────────────────────
def action_toggle_sidebar(self) -> None:
@@ -783,6 +943,7 @@ FooterKey .footer-key--key {
self._refresh_log_panel()
async def action_quit(self) -> None:
self._finalize_conversational_session()
self._unsubscribe()
self.exit(self._crew_result)
@@ -958,6 +1119,30 @@ FooterKey .footer-key--key {
t = Text()
sidebar_width = 30
if self._is_conversational:
t.append(" CONVERSATION\n", style=f"bold {_C_PRIMARY}")
t.append("\n")
if self._conversation_turn_in_progress:
t.append(f" {self._spinner()} ", style=_C_PRIMARY)
t.append("Working\n", style=f"bold {_C_TEXT}")
elif self._status == "failed":
t.append(" ✘ Failed\n", style=_C_RED)
else:
t.append(" ● Ready\n", style=_C_GREEN)
t.append(f" Turns {self._conversation_turns}\n", style=_C_DIM)
t.append("\n")
t.append(" TOKENS\n", style=f"bold {_C_PRIMARY}")
t.append("\n")
out = self._output_tokens + self._live_out_tokens
t.append(f"{self._input_tokens:,}\n", style=_C_DIM)
t.append(f"{out:,}\n", style=_C_DIM)
t.append("\n")
t.append(" COMMANDS\n", style=f"bold {_C_PRIMARY}")
t.append("\n")
t.append(" quit / exit\n", style=_C_DIM)
widget.update(t)
return
t.append(" TASKS\n", style=f"bold {_C_PRIMARY}")
t.append("\n")
@@ -1011,6 +1196,22 @@ FooterKey .footer-key--key {
widget = self.query_one("#task-header", Static)
t = Text()
if self._is_conversational:
if self._status == "failed":
t.append("", style=f"bold {_C_RED}")
t.append("Failed", style=f"bold {_C_RED}")
if self._error:
t.append(f"\n{self._error[:120]}", style=_C_RED)
elif self._conversation_turn_in_progress:
t.append(f"{self._spinner()} ", style=_C_PRIMARY)
t.append("Flow is responding", style=f"bold {_C_PRIMARY}")
else:
t.append("", style=f"bold {_C_GREEN}")
t.append("Conversational flow ready", style=f"bold {_C_GREEN}")
t.append(" Type a message below", style=_C_DIM)
widget.update(t)
return
if self._status == "completed":
elapsed = self._elapsed_frozen or (time.time() - self._start_time)
t.append("", style=f"bold {_C_GREEN}")
@@ -1062,6 +1263,41 @@ FooterKey .footer-key--key {
t = Text()
should_scroll = False
if self._is_conversational:
if not self._conversation_messages and not self._is_streaming:
t.append(" Start the conversation below.\n", style=_C_MUTED)
for role, content in self._conversation_messages:
if role == "user":
t.append("\n You\n", style=f"bold {_C_TEAL}")
else:
t.append("\n Assistant\n", style=f"bold {_C_PRIMARY}")
rendered = _format_json_in_text(_unescape_text(content))
for line in rendered.split("\n"):
style = _C_TEXT if role == "assistant" else _C_DIM
t.append(f" {line}\n", style=style)
if self._is_streaming and self._streaming_text:
text = _unescape_text(self._filtered_streaming_text())
if text.strip():
t.append("\n Assistant\n", style=f"bold {_C_PRIMARY}")
for line in text.rstrip().split("\n")[-40:]:
t.append(f" {line}\n", style=_C_TEXT)
should_scroll = True
if self._status == "failed" and self._error:
t.append("\n Error\n", style=f"bold {_C_RED}")
t.append(f" {self._error}\n", style=_C_RED)
widget.update(t)
if should_scroll:
try:
self.query_one("#scroll-area", VerticalScroll).scroll_end(
animate=False
)
except Exception: # noqa: S110
pass
return
# Plan section
if self._plan and self._plan.get("steps"):
plan_title = self._plan.get("plan", "Plan")

View File

@@ -378,12 +378,40 @@ class SkillCommand(BaseCommand, PlusAPIMixin):
def _safe_extractall(tf: tarfile.TarFile, dest: Path) -> None:
"""Path-traversal-safe extraction for Python < 3.12."""
"""Path-traversal-safe extraction for Python versions without tar filters.
Validates both the member's own path and, for symlink/hardlink members,
the link target. Without the link-target check a malicious archive can
plant a symlink that escapes ``dest`` (e.g. ``link -> /home/user/.ssh``)
followed by a regular member written *through* that link
(``link/authorized_keys``), escaping ``dest`` even though every member
name resolves inside it. This mirrors the protection that
``tarfile.extractall(..., filter="data")`` provides when available.
"""
dest_resolved = dest.resolve()
for member in tf.getmembers():
member_path = (dest / member.name).resolve()
if not member_path.is_relative_to(dest_resolved):
raise ValueError(f"Blocked path traversal attempt: {member.name!r}")
if not (member.isfile() or member.isdir() or member.issym() or member.islnk()):
raise ValueError(f"Blocked unsupported tar member: {member.name!r}")
if member.issym() or member.islnk():
link_target = member.linkname
# Absolute link targets always escape the destination.
if os.path.isabs(link_target):
raise ValueError(
f"Blocked link target escaping destination: "
f"{member.name!r} -> {link_target!r}"
)
# Hardlink names are relative to the archive root; symlink
# targets are relative to the member's own directory.
anchor = dest if member.islnk() else (dest / member.name).parent
resolved_target = (anchor / link_target).resolve()
if not resolved_target.is_relative_to(dest_resolved):
raise ValueError(
f"Blocked link target escaping destination: "
f"{member.name!r} -> {link_target!r}"
)
tf.extractall(dest) # noqa: S202

View File

@@ -0,0 +1,105 @@
from __future__ import annotations
import importlib
import inspect
from pathlib import Path
import subprocess
import sys
from typing import Any
import click
def _project_script_target(script_name: str) -> str | None:
try:
from crewai_cli.utils import read_toml
pyproject = read_toml()
except Exception:
return None
target = pyproject.get("project", {}).get("scripts", {}).get(script_name)
return target if isinstance(target, str) else None
def _prepare_project_import_path() -> None:
cwd = Path.cwd()
for path in (cwd / "src", cwd):
path_str = str(path)
if path.exists() and path_str not in sys.path:
sys.path.insert(0, path_str)
def _load_conversational_flow_from_kickoff_script() -> Any | None:
target = _project_script_target("kickoff")
if not target or ":" not in target:
return None
module_name, _callable_name = target.split(":", 1)
_prepare_project_import_path()
try:
module = importlib.import_module(module_name)
from crewai.flow.flow import Flow
except Exception:
return None
for value in vars(module).values():
if (
inspect.isclass(value)
and value is not Flow
and issubclass(value, Flow)
and getattr(value, "conversational", False)
):
return value()
for value in vars(module).values():
if (
isinstance(value, Flow)
and getattr(value, "conversational", False)
and callable(getattr(value, "handle_turn", None))
):
return value
return None
def _run_conversational_flow_tui(flow: Any) -> Any:
from crewai_cli.crew_run_tui import CrewRunApp
app = CrewRunApp(
crew_name=getattr(flow, "name", None) or type(flow).__name__,
conversational=True,
)
app._flow = flow
app.run()
if app._status == "failed":
raise SystemExit(1)
return app._crew_result
def kickoff_flow() -> None:
"""
Kickoff the flow by running a command in the UV environment.
"""
flow = _load_conversational_flow_from_kickoff_script()
if flow is not None:
_run_conversational_flow_tui(flow)
return
command = ["uv", "run", "kickoff"]
try:
result = subprocess.run(command, capture_output=False, text=True, check=True) # noqa: S603
if result.stderr:
click.echo(result.stderr, err=True)
except subprocess.CalledProcessError as e:
click.echo(f"An error occurred while running the flow: {e}", err=True)
click.echo(e.output, err=True)
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)

View File

@@ -604,6 +604,16 @@ def _run_flow_project(
run_declarative_flow_in_project_env(definition=definition)
return
from crewai_cli.kickoff_flow import (
_load_conversational_flow_from_kickoff_script,
_run_conversational_flow_tui,
)
flow = _load_conversational_flow_from_kickoff_script()
if flow is not None:
_run_conversational_flow_tui(flow)
return
_execute_uv_script("kickoff", entity_type="flow")

View File

@@ -1,17 +1,18 @@
from __future__ import annotations
import json
from pathlib import Path
from pathlib import Path, PureWindowsPath
import subprocess
from typing import Any
import click
from pydantic import ValidationError
from crewai_cli.utils import build_env_with_all_tool_credentials
def run_declarative_flow_in_project_env(
definition: str, inputs: str | None = None
definition: str | Path, inputs: str | None = None
) -> None:
"""Run a declarative flow inside the project's Python environment."""
if is_declarative_flow_project_env() or not _has_project_file():
@@ -24,7 +25,7 @@ def run_declarative_flow_in_project_env(
_execute_declarative_flow_command(["uv", "run", "crewai", "run"])
def plot_declarative_flow_in_project_env(definition: str) -> None:
def plot_declarative_flow_in_project_env(definition: str | Path) -> None:
"""Plot a declarative flow inside the project's Python environment."""
if is_declarative_flow_project_env() or not _has_project_file():
plot_declarative_flow(definition=definition)
@@ -33,7 +34,7 @@ def plot_declarative_flow_in_project_env(definition: str) -> None:
_execute_declarative_flow_command(["uv", "run", "crewai", "flow", "plot"])
def run_declarative_flow(definition: str, inputs: str | None = None) -> None:
def run_declarative_flow(definition: str | Path, inputs: str | None = None) -> None:
"""Run a declarative flow from a definition path."""
parsed_inputs = _parse_inputs(inputs)
@@ -49,7 +50,7 @@ def run_declarative_flow(definition: str, inputs: str | None = None) -> None:
click.echo(_format_result(result))
def plot_declarative_flow(definition: str) -> None:
def plot_declarative_flow(definition: str | Path) -> None:
"""Plot a declarative flow from a definition path."""
try:
flow = load_declarative_flow(definition)
@@ -61,11 +62,10 @@ def plot_declarative_flow(definition: str) -> None:
raise SystemExit(1) from exc
def load_declarative_flow(definition: str) -> Any:
def load_declarative_flow(definition: str | Path) -> Any:
"""Load a declarative Flow instance from a definition path."""
try:
from crewai.flow.flow import Flow
from crewai.flow.flow_definition import FlowDefinition
except ImportError as exc:
click.echo(
"Running declarative flows requires the full crewai package.",
@@ -74,19 +74,36 @@ def load_declarative_flow(definition: str) -> Any:
raise SystemExit(1) from exc
definition_path = Path(definition).expanduser()
definition_source = _read_declarative_flow_source(definition_path, definition)
try:
if not definition_path.is_file():
if definition_path.exists():
click.echo(
f"Invalid --definition path: {definition} is not a file.",
err=True,
)
raise SystemExit(1)
click.echo(
f"Invalid --definition path: {definition} does not exist.", err=True
)
raise SystemExit(1)
except OSError as exc:
click.echo(f"Invalid --definition path: {definition} ({exc})", err=True)
raise SystemExit(1) from exc
flow_definition = _parse_declarative_flow(
FlowDefinition,
definition_source,
source_path=definition_path,
)
return Flow.from_definition(flow_definition)
try:
return Flow.from_declaration(path=definition_path)
except (OSError, UnicodeError, ValueError, ValidationError) as exc:
click.echo(
f"Unable to read --definition path {definition_path}: {exc}",
err=True,
)
raise SystemExit(1) from exc
def configured_project_declarative_flow(
pyproject_data: dict[str, Any] | None = None,
) -> str | None:
project_root: Path | None = None,
) -> Path | None:
"""Return the configured declarative flow source for flow projects."""
if pyproject_data is None:
try:
@@ -102,7 +119,66 @@ def configured_project_declarative_flow(
definition = crewai_config.get("definition")
if not isinstance(definition, str):
return None
return definition.strip() or None
definition = definition.strip()
if not definition:
return None
return _resolve_project_definition_path(
definition=definition,
project_root=project_root or Path.cwd(),
)
def _resolve_project_definition_path(definition: str, project_root: Path) -> Path:
definition_path = Path(definition)
windows_definition_path = PureWindowsPath(definition)
if definition.startswith("~"):
raise click.UsageError(
"[tool.crewai] definition must be a project-local path; "
f"got {definition!r}."
)
if definition_path.is_absolute() or windows_definition_path.is_absolute():
raise click.UsageError(
"[tool.crewai] definition must be relative to the project root; "
f"got {definition!r}."
)
try:
root = project_root.resolve(strict=True)
except OSError as exc:
raise click.UsageError(
f"Invalid project root for [tool.crewai] definition: {exc}"
) from exc
candidate = root / definition_path
try:
resolved_candidate = candidate.resolve(strict=False)
except OSError as exc:
raise click.UsageError(
f"Invalid [tool.crewai] definition path {definition!r}: {exc}"
) from exc
if not resolved_candidate.is_relative_to(root):
raise click.UsageError(
"[tool.crewai] definition must resolve inside the project root; "
f"got {definition!r}."
)
if not resolved_candidate.exists():
raise click.UsageError(
"[tool.crewai] definition must point to an existing file; "
f"got {definition!r}."
)
if not resolved_candidate.is_file():
raise click.UsageError(
"[tool.crewai] definition must point to a regular file; "
f"got {definition!r}."
)
return resolved_candidate
def _execute_declarative_flow_command(command: list[str]) -> None:
@@ -154,53 +230,6 @@ def _parse_inputs(inputs: str | None) -> dict[str, Any] | None:
return parsed
def _read_declarative_flow_source(path: Path, definition: str) -> str:
try:
if path.is_file():
source = _read_declarative_flow_file(path)
elif path.exists():
click.echo(
f"Invalid --definition path: {definition} is not a file.", err=True
)
raise SystemExit(1)
else:
click.echo(
f"Invalid --definition path: {definition} does not exist.", err=True
)
raise SystemExit(1)
except OSError as exc:
click.echo(f"Invalid --definition path: {definition} ({exc})", err=True)
raise SystemExit(1) from exc
return source
def _read_declarative_flow_file(path: Path) -> str:
try:
source = path.read_text(encoding="utf-8")
except (OSError, UnicodeError) as exc:
click.echo(
f"Unable to read --definition path {path}: {exc}",
err=True,
)
raise SystemExit(1) from exc
return source
def _parse_declarative_flow(
flow_definition_cls: type[Any], source: str, *, source_path: Path
) -> Any:
if _looks_like_json(source):
return flow_definition_cls.from_json(source, source_path=source_path)
return flow_definition_cls.from_yaml(source, source_path=source_path)
def _looks_like_json(source: str) -> bool:
stripped = source.lstrip()
return stripped.startswith("{")
def _format_result(result: Any) -> str:
raw_result = getattr(result, "raw", result)
if isinstance(raw_result, str):

View File

@@ -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]==1.14.8a2"
"crewai[tools]==1.14.8a4"
]
[project.scripts]

View File

@@ -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]==1.14.8a2"
"crewai[tools]==1.14.8a4"
]
[build-system]

View File

@@ -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]==1.14.8a2"
"crewai[tools]==1.14.8a4"
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.8a2"
"crewai[tools]==1.14.8a4"
]
[tool.crewai]

View File

@@ -0,0 +1,140 @@
"""Regression tests for path-traversal-safe archive extraction.
Guards against symlink/hardlink-based path traversal in the fallback used on
Python versions without tarfile extraction filters. The filtered path relies on
`tarfile.extractall(..., filter="data")`; the fallback must provide the same
protection by validating link targets, not just member names.
"""
from __future__ import annotations
import io
import tarfile
from pathlib import Path
import pytest
from crewai_cli.experimental.skills.main import _safe_extractall
def _tar_from_members(build) -> tarfile.TarFile:
"""Build an in-memory tar archive via `build(tf)` and return it for reading."""
buf = io.BytesIO()
with tarfile.open(fileobj=buf, mode="w") as tf:
build(tf)
buf.seek(0)
return tarfile.open(fileobj=buf, mode="r")
def test_blocks_symlink_escaping_destination(tmp_path: Path) -> None:
"""A symlink whose target escapes dest, plus a file written through it,
must be rejected before anything is extracted."""
outside = tmp_path / "outside"
outside.mkdir()
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
link = tarfile.TarInfo("link")
link.type = tarfile.SYMTYPE
link.linkname = str(outside) # absolute path outside dest
tf.addfile(link)
payload = b"pwned"
info = tarfile.TarInfo("link/evil.txt")
info.size = len(payload)
tf.addfile(info, io.BytesIO(payload))
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="escaping destination"):
_safe_extractall(tf, dest)
assert not (outside / "evil.txt").exists()
def test_blocks_relative_symlink_escaping_destination(tmp_path: Path) -> None:
"""A relative symlink (../..) that escapes dest is also rejected."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
link = tarfile.TarInfo("sub/link")
link.type = tarfile.SYMTYPE
link.linkname = "../../outside" # escapes dest from sub/
tf.addfile(link)
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="escaping destination"):
_safe_extractall(tf, dest)
def test_blocks_hardlink_escaping_destination(tmp_path: Path) -> None:
"""A hardlink whose target escapes dest is rejected."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
link = tarfile.TarInfo("escape")
link.type = tarfile.LNKTYPE
link.linkname = "../outside.txt" # escapes archive root
tf.addfile(link)
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="escaping destination"):
_safe_extractall(tf, dest)
def test_blocks_special_tar_member(tmp_path: Path) -> None:
"""Special tar members such as FIFOs are rejected."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
fifo = tarfile.TarInfo("pipe")
fifo.type = tarfile.FIFOTYPE
tf.addfile(fifo)
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="unsupported tar member"):
_safe_extractall(tf, dest)
def test_allows_benign_relative_symlink(tmp_path: Path) -> None:
"""A symlink that stays within dest is permitted."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
payload = b"hi"
info = tarfile.TarInfo("real.txt")
info.size = len(payload)
tf.addfile(info, io.BytesIO(payload))
link = tarfile.TarInfo("alias.txt")
link.type = tarfile.SYMTYPE
link.linkname = "real.txt" # stays inside dest
tf.addfile(link)
with _tar_from_members(build) as tf:
_safe_extractall(tf, dest)
assert (dest / "real.txt").read_bytes() == b"hi"
assert (dest / "alias.txt").is_symlink()
assert (dest / "alias.txt").readlink() == Path("real.txt")
def test_allows_benign_archive(tmp_path: Path) -> None:
"""An ordinary archive of regular files extracts correctly."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
for name, body in (("SKILL.md", b"# skill"), ("scripts/run.py", b"print(1)")):
payload = body
info = tarfile.TarInfo(name)
info.size = len(payload)
tf.addfile(info, io.BytesIO(payload))
with _tar_from_members(build) as tf:
_safe_extractall(tf, dest)
assert (dest / "SKILL.md").read_bytes() == b"# skill"
assert (dest / "scripts" / "run.py").read_bytes() == b"print(1)"

View File

@@ -126,6 +126,52 @@ def test_chain_deploy_does_not_login_for_deploy_exit(monkeypatch, capsys) -> Non
assert "Deploy failed with exit code 42" in capsys.readouterr().out
def test_conversation_turn_done_records_assistant_message() -> None:
class RawResult:
raw = "hello from the flow"
app = CrewRunApp(conversational=True)
app._conversation_turn_in_progress = True
app._enable_conversation_input = lambda: None # type: ignore[method-assign]
app._tick = lambda: None # type: ignore[method-assign]
app._scroll_to_result = lambda: None # type: ignore[method-assign]
app._on_conversation_turn_done(RawResult())
assert app._conversation_messages == [("assistant", "hello from the flow")]
assert app._conversation_turn_in_progress is False
assert app._status == "chatting"
assert isinstance(app._crew_result, RawResult)
@pytest.mark.asyncio
async def test_conversation_input_submits_turn() -> None:
class FakeFlow:
defer_trace_finalization = False
def handle_turn(self, message: str) -> str:
return f"reply: {message}"
def finalize_session_traces(self) -> None:
pass
app = CrewRunApp(crew_name="Demo", conversational=True)
app._flow = FakeFlow()
async with app.run_test() as pilot:
await pilot.click("#conversation-input")
await pilot.press("h", "i", "enter")
for _ in range(50):
await pilot.pause(0.05)
if app._conversation_messages[-1:] == [("assistant", "reply: hi")]:
break
assert app._conversation_messages == [
("user", "hi"),
("assistant", "reply: hi"),
]
def test_plan_step_status_updates_only_the_explicit_step() -> None:
app = _app_with_plan()

View File

@@ -3,6 +3,7 @@ from __future__ import annotations
from pathlib import Path
import subprocess
import click
import pytest
from click.testing import CliRunner
@@ -107,6 +108,8 @@ def test_configured_project_declarative_flow(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
monkeypatch.chdir(tmp_path)
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(FLOW_YAML, encoding="utf-8")
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = " flow.yaml "\n',
encoding="utf-8",
@@ -114,4 +117,132 @@ def test_configured_project_declarative_flow(
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
assert configured_project_declarative_flow() == "flow.yaml"
assert configured_project_declarative_flow() == definition_path.resolve()
@pytest.mark.parametrize(
("definition", "expected_error"),
[
("C:/tmp/flow.yaml", "must be relative to the project root"),
("~/flow.yaml", "must be a project-local path"),
("../flow.yaml", "must resolve inside the project root"),
],
)
def test_configured_project_declarative_flow_rejects_unsafe_paths(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
definition: str,
expected_error: str,
) -> None:
monkeypatch.chdir(tmp_path)
(tmp_path / "pyproject.toml").write_text(
f'[tool.crewai]\ntype = "flow"\ndefinition = "{definition}"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
with pytest.raises(click.UsageError) as exc_info:
configured_project_declarative_flow()
assert expected_error in exc_info.value.message
def test_configured_project_declarative_flow_allows_normalized_project_path(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
monkeypatch.chdir(tmp_path)
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(FLOW_YAML, encoding="utf-8")
(tmp_path / "src").mkdir()
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = "src/../flow.yaml"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
assert configured_project_declarative_flow() == definition_path.resolve()
def test_configured_project_declarative_flow_rejects_absolute_path(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
monkeypatch.chdir(tmp_path)
definition = tmp_path / "flow.yaml"
(tmp_path / "pyproject.toml").write_text(
f'[tool.crewai]\ntype = "flow"\ndefinition = "{definition.as_posix()}"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
with pytest.raises(click.UsageError) as exc_info:
configured_project_declarative_flow()
assert "must be relative to the project root" in exc_info.value.message
def test_configured_project_declarative_flow_rejects_symlink_escape(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
monkeypatch.chdir(tmp_path)
outside_definition = tmp_path.parent / "outside-flow.yaml"
outside_definition.write_text(FLOW_YAML, encoding="utf-8")
link = tmp_path / "flow.yaml"
try:
link.symlink_to(outside_definition)
except (NotImplementedError, OSError) as exc:
pytest.skip(f"symlinks unavailable: {exc}")
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = "flow.yaml"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
with pytest.raises(click.UsageError) as exc_info:
configured_project_declarative_flow()
assert "must resolve inside the project root" in exc_info.value.message
def test_configured_project_declarative_flow_rejects_missing_file(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
monkeypatch.chdir(tmp_path)
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = "missing-flow.yaml"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
with pytest.raises(click.UsageError) as exc_info:
configured_project_declarative_flow()
assert "must point to an existing file" in exc_info.value.message
def test_configured_project_declarative_flow_rejects_directory(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
monkeypatch.chdir(tmp_path)
(tmp_path / "flow.yaml").mkdir()
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = "flow.yaml"\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
with pytest.raises(click.UsageError) as exc_info:
configured_project_declarative_flow()
assert "must point to a regular file" in exc_info.value.message

View File

@@ -0,0 +1,63 @@
from __future__ import annotations
import sys
from crewai_cli import kickoff_flow
def test_loads_conversational_flow_from_kickoff_script(tmp_path, monkeypatch) -> None:
package_dir = tmp_path / "src" / "demo_chat"
package_dir.mkdir(parents=True)
(package_dir / "__init__.py").write_text("")
(package_dir / "main.py").write_text(
"\n".join(
[
"from crewai.flow import Flow",
"",
"class DemoChatFlow(Flow):",
" conversational = True",
]
)
)
(tmp_path / "pyproject.toml").write_text(
"\n".join(
[
"[project]",
'name = "demo-chat"',
"[project.scripts]",
'kickoff = "demo_chat.main:kickoff"',
]
)
)
monkeypatch.chdir(tmp_path)
sys.modules.pop("demo_chat.main", None)
sys.modules.pop("demo_chat", None)
flow = kickoff_flow._load_conversational_flow_from_kickoff_script()
assert flow is not None
assert type(flow).__name__ == "DemoChatFlow"
assert flow.conversational is True
def test_kickoff_flow_falls_back_to_uv_when_no_conversational_flow(
monkeypatch,
) -> None:
calls: list[list[str]] = []
def fake_run(command, capture_output, text, check):
calls.append(command)
class Result:
stderr = ""
return Result()
monkeypatch.setattr(
kickoff_flow, "_load_conversational_flow_from_kickoff_script", lambda: None
)
monkeypatch.setattr(kickoff_flow.subprocess, "run", fake_run)
kickoff_flow.kickoff_flow()
assert calls == [["uv", "run", "kickoff"]]

View File

@@ -645,6 +645,10 @@ def test_run_crew_runs_python_flow_project(monkeypatch, capsys):
"_execute_uv_script",
lambda script_name, **kwargs: calls.append((script_name, kwargs)),
)
monkeypatch.setattr(
"crewai_cli.kickoff_flow._load_conversational_flow_from_kickoff_script",
lambda: None,
)
run_crew_module.run_crew()
@@ -652,6 +656,41 @@ def test_run_crew_runs_python_flow_project(monkeypatch, capsys):
assert calls == [("kickoff", {"entity_type": "flow"})]
def test_run_crew_runs_conversational_flow_tui(monkeypatch, capsys):
class Flow:
pass
flow = Flow()
calls = []
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
"read_toml",
lambda: {"tool": {"crewai": {"type": "flow"}}},
)
monkeypatch.setattr(
"crewai_cli.kickoff_flow._load_conversational_flow_from_kickoff_script",
lambda: flow,
)
monkeypatch.setattr(
"crewai_cli.kickoff_flow._run_conversational_flow_tui",
lambda loaded_flow: calls.append(loaded_flow),
)
monkeypatch.setattr(
run_crew_module,
"_execute_uv_script",
lambda *_args, **_kwargs: pytest.fail(
"conversational flows must use the TUI"
),
)
run_crew_module.run_crew()
assert capsys.readouterr().out == ""
assert calls == [flow]
def test_run_crew_rejects_filename_for_flow_project(monkeypatch):
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
@@ -666,9 +705,14 @@ def test_run_crew_rejects_filename_for_flow_project(monkeypatch):
assert "--filename can only be used when running crews" in exc_info.value.message
def test_run_crew_runs_configured_declarative_flow_project(monkeypatch, capsys):
def test_run_crew_runs_configured_declarative_flow_project(
monkeypatch, tmp_path: Path, capsys
):
calls = []
monkeypatch.chdir(tmp_path)
definition_path = tmp_path / "flow.yaml"
definition_path.write_text("schema: crewai.flow/v1\n", encoding="utf-8")
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
@@ -695,4 +739,4 @@ def test_run_crew_runs_configured_declarative_flow_project(monkeypatch, capsys):
run_crew_module.run_crew()
assert capsys.readouterr().out == ""
assert calls == [("flow.yaml", None)]
assert calls == [(definition_path.resolve(), None)]

View File

@@ -60,6 +60,43 @@ def test_run_declarative_flow_reports_missing_file(
)
def test_run_declarative_flow_reports_empty_file(
tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(" \n", encoding="utf-8")
with pytest.raises(SystemExit):
run_declarative_flow_module.run_declarative_flow(str(definition_path))
assert "Flow declaration file is empty" in capsys.readouterr().err
@pytest.mark.parametrize(
"contents, expected_error",
[
("[]\n", "Flow declaration must contain a mapping"),
("schema: crewai.flow/v1\nmethods: {}\n", "Field required"),
],
)
def test_load_declarative_flow_reports_invalid_declarations(
tmp_path: Path,
capsys: pytest.CaptureFixture[str],
contents: str,
expected_error: str,
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(contents, encoding="utf-8")
with pytest.raises(SystemExit) as exc_info:
run_declarative_flow_module.load_declarative_flow(str(definition_path))
assert exc_info.value.code == 1
stderr = capsys.readouterr().err
assert f"Unable to read --definition path {definition_path}:" in stderr
assert expected_error in stderr
def test_run_declarative_flow_in_project_env_uses_uv(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:

View File

@@ -16,9 +16,9 @@ dependencies = [
"pyjwt>=2.13.0,<3",
"pydantic>=2.11.9,<2.13",
"rich>=13.7.1",
"opentelemetry-api~=1.34.0",
"opentelemetry-sdk~=1.34.0",
"opentelemetry-exporter-otlp-proto-http~=1.34.0",
"opentelemetry-api~=1.42.0",
"opentelemetry-sdk~=1.42.0",
"opentelemetry-exporter-otlp-proto-http~=1.42.0",
"tomli~=2.0.2",
]

View File

@@ -1 +1 @@
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"

View File

@@ -152,4 +152,4 @@ __all__ = [
"wrap_file_source",
]
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"

View File

@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
dependencies = [
"pytube~=15.0.0",
"requests>=2.33.0,<3",
"crewai==1.14.8a2",
"crewai==1.14.8a4",
"tiktoken>=0.8.0,<0.13",
"beautifulsoup4~=4.13.4",
"python-docx~=1.2.0",

View File

@@ -330,4 +330,4 @@ __all__ = [
"ZapierActionTools",
]
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"

View File

@@ -8,8 +8,8 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a2",
"crewai-cli==1.14.8a2",
"crewai-core==1.14.8a4",
"crewai-cli==1.14.8a4",
# Core Dependencies
"pydantic>=2.11.9,<2.13",
"openai>=2.30.0,<3",
@@ -18,9 +18,9 @@ dependencies = [
"pdfplumber~=0.11.4",
"regex~=2026.1.15",
# Telemetry and Monitoring
"opentelemetry-api~=1.34.0",
"opentelemetry-sdk~=1.34.0",
"opentelemetry-exporter-otlp-proto-http~=1.34.0",
"opentelemetry-api~=1.42.0",
"opentelemetry-sdk~=1.42.0",
"opentelemetry-exporter-otlp-proto-http~=1.42.0",
# Data Handling
"chromadb~=1.1.0",
"tokenizers>=0.21,<1",
@@ -55,7 +55,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = [
"crewai-tools==1.14.8a2",
"crewai-tools==1.14.8a4",
]
embeddings = [
"tiktoken>=0.8.0,<0.13"

View File

@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
_suppress_pydantic_deprecation_warnings()
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"
_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
"Memory": ("crewai.memory.unified_memory", "Memory"),

View File

@@ -9,6 +9,7 @@ from __future__ import annotations
from datetime import datetime, timezone
import json
import logging
import os
from pathlib import Path
import tarfile
from typing import TypedDict
@@ -127,12 +128,36 @@ class SkillCacheManager:
def _safe_extractall(tf: tarfile.TarFile, dest: Path) -> None:
"""Path-traversal-safe extraction for Python < 3.12."""
"""Path-traversal-safe extraction for Python versions without tar filters.
Validates both the member's own path and, for symlink/hardlink members,
the link target. Without the link-target check a malicious archive can
plant a symlink that escapes ``dest`` followed by a regular member written
through that link, escaping ``dest`` even though every member name resolves
inside it. This mirrors the protection that
``tarfile.extractall(..., filter="data")`` provides when available.
"""
dest_resolved = dest.resolve()
for member in tf.getmembers():
member_path = (dest / member.name).resolve()
if not member_path.is_relative_to(dest_resolved):
raise ValueError(f"Blocked path traversal attempt: {member.name!r}")
if not (member.isfile() or member.isdir() or member.issym() or member.islnk()):
raise ValueError(f"Blocked unsupported tar member: {member.name!r}")
if member.issym() or member.islnk():
link_target = member.linkname
if os.path.isabs(link_target):
raise ValueError(
f"Blocked link target escaping destination: "
f"{member.name!r} -> {link_target!r}"
)
anchor = dest if member.islnk() else (dest / member.name).parent
resolved_target = (anchor / link_target).resolve()
if not resolved_target.is_relative_to(dest_resolved):
raise ValueError(
f"Blocked link target escaping destination: "
f"{member.name!r} -> {link_target!r}"
)
tf.extractall(dest) # noqa: S202

View File

@@ -1,7 +1,7 @@
"""Flow Definition: the serializable, declarative Flow contract.
Defines :class:`FlowDefinition` and its sub-models — a static, declarative
(JSON/YAML) representation of a Flow: its methods, trigger conditions,
Defines :class:`FlowDefinition` and its sub-models — a static declarative
representation of a Flow: its methods, trigger conditions,
state, and configuration. It is independent of the Python authoring
layer that may have produced it and of the engine that runs it (see
``runtime``).
@@ -235,7 +235,7 @@ class FlowPersistenceDefinition(BaseModel):
``persistence`` may hold a live backend when the definition is built from
a decorated class — the engine then persists through the exact instance
the user configured; the JSON/YAML projection degrades it to its
the user configured; the declarative projection degrades it to its
serialized config.
"""
@@ -275,7 +275,7 @@ class FlowHumanFeedbackDefinition(BaseModel):
"""Static human feedback configuration.
``llm`` and ``provider`` may hold live Python objects when the definition
is built from a decorated class; the JSON/YAML projection degrades them to
is built from a decorated class; the declarative projection degrades them to
a serialized config (``llm``) or a ``module:qualname`` ref (``provider``).
"""
@@ -777,7 +777,7 @@ class FlowDefinition(BaseModel):
return self
def to_dict(self, *, exclude_none: bool = True) -> dict[str, Any]:
"""Serialize the definition to a JSON/YAML-ready dictionary."""
"""Serialize the definition to a declaration-ready dictionary."""
return self.model_dump(by_alias=True, exclude_none=exclude_none, mode="json")
def to_json(self, *, indent: int | None = 2, exclude_none: bool = True) -> str:
@@ -817,16 +817,37 @@ class FlowDefinition(BaseModel):
return definition
@classmethod
def from_json(cls, data: str, *, source_path: Path | None = None) -> FlowDefinition:
"""Load a definition from JSON."""
return cls.from_dict(json.loads(data), source_path=source_path)
def from_declaration(
cls,
*,
contents: FlowDefinition | str | dict[str, Any] | None = None,
path: Path | str | None = None,
) -> FlowDefinition:
"""Load a declarative flow from contents or a file path."""
if isinstance(contents, cls):
return contents
@classmethod
def from_yaml(cls, data: str, *, source_path: Path | None = None) -> FlowDefinition:
"""Load a definition from YAML."""
loaded = yaml.safe_load(data) or {}
source_path: Path | None = None
if contents is None:
if path is None:
raise ValueError("Provide contents or path")
source_path = Path(path)
contents = source_path.expanduser().read_text(encoding="utf-8")
if isinstance(contents, dict):
return cls.from_dict(contents)
if not isinstance(contents, str):
raise TypeError("Flow declaration contents must be a string or dictionary")
if not contents.strip():
if source_path is not None:
raise ValueError(f"Flow declaration file is empty: {source_path}")
raise ValueError("Flow declaration contents are empty")
loaded = yaml.safe_load(contents)
if not isinstance(loaded, dict):
raise ValueError("Flow definition YAML must contain a mapping")
raise ValueError("Flow declaration must contain a mapping")
return cls.from_dict(loaded, source_path=source_path)
@classmethod

View File

@@ -25,6 +25,7 @@ from datetime import datetime
import enum
import inspect
import logging
from pathlib import Path
import threading
from typing import (
TYPE_CHECKING,
@@ -769,6 +770,21 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
@classmethod
def from_definition(cls, definition: FlowDefinition, **kwargs: Any) -> Flow[Any]:
"""Build a runnable Flow directly from a definition; no subclass required."""
return cls.from_declaration(contents=definition, **kwargs)
@classmethod
def from_declaration(
cls,
*,
contents: FlowDefinition | str | dict[str, Any] | None = None,
path: Path | str | None = None,
**kwargs: Any,
) -> Flow[Any]:
"""Build a runnable declarative flow from contents or a file path."""
definition = FlowDefinition.from_declaration(
contents=contents,
path=path,
)
return cls.model_validate(
{**definition.config.model_dump(), **kwargs},
context={"flow_definition": definition},

View File

@@ -8,7 +8,9 @@ import json
import tarfile
from pathlib import Path
from crewai.experimental.skills.cache import SkillCacheManager
import pytest
from crewai.experimental.skills.cache import SkillCacheManager, _safe_extractall
def _make_tar_gz(files: dict[str, str]) -> bytes:
@@ -35,6 +37,15 @@ def _make_tar_gz(files: dict[str, str]) -> bytes:
return out.getvalue()
def _tar_from_members(build) -> tarfile.TarFile:
"""Build an in-memory tar archive via `build(tf)` and return it for reading."""
buf = io.BytesIO()
with tarfile.open(fileobj=buf, mode="w") as tf:
build(tf)
buf.seek(0)
return tarfile.open(fileobj=buf, mode="r")
class TestSkillCacheManager:
def test_get_cached_path_missing(self, tmp_path: Path) -> None:
cache = SkillCacheManager(cache_root=tmp_path)
@@ -113,3 +124,85 @@ class TestSkillCacheManager:
dest = cache.store("acme", "my-skill", None, archive)
meta = json.loads((dest / ".crewai_meta.json").read_text())
assert meta["version"] is None
def test_safe_extractall_blocks_symlink_escaping_cache_destination(
tmp_path: Path,
) -> None:
"""A symlink whose target escapes dest is rejected before extraction."""
outside = tmp_path / "outside"
outside.mkdir()
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
link = tarfile.TarInfo("link")
link.type = tarfile.SYMTYPE
link.linkname = str(outside)
tf.addfile(link)
payload = b"pwned"
info = tarfile.TarInfo("link/evil.txt")
info.size = len(payload)
tf.addfile(info, io.BytesIO(payload))
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="escaping destination"):
_safe_extractall(tf, dest)
assert not (outside / "evil.txt").exists()
def test_safe_extractall_blocks_hardlink_escaping_cache_destination(
tmp_path: Path,
) -> None:
"""A hardlink whose target escapes dest is rejected."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
link = tarfile.TarInfo("escape")
link.type = tarfile.LNKTYPE
link.linkname = "../outside.txt"
tf.addfile(link)
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="escaping destination"):
_safe_extractall(tf, dest)
def test_safe_extractall_blocks_special_cache_tar_member(tmp_path: Path) -> None:
"""Special tar members such as FIFOs are rejected."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
fifo = tarfile.TarInfo("pipe")
fifo.type = tarfile.FIFOTYPE
tf.addfile(fifo)
with _tar_from_members(build) as tf:
with pytest.raises(ValueError, match="unsupported tar member"):
_safe_extractall(tf, dest)
def test_safe_extractall_allows_benign_cache_symlink(tmp_path: Path) -> None:
"""A symlink that stays within dest is permitted."""
dest = tmp_path / "dest"
dest.mkdir()
def build(tf: tarfile.TarFile) -> None:
payload = b"hi"
info = tarfile.TarInfo("real.txt")
info.size = len(payload)
tf.addfile(info, io.BytesIO(payload))
link = tarfile.TarInfo("alias.txt")
link.type = tarfile.SYMTYPE
link.linkname = "real.txt"
tf.addfile(link)
with _tar_from_members(build) as tf:
_safe_extractall(tf, dest)
assert (dest / "real.txt").read_bytes() == b"hi"
assert (dest / "alias.txt").is_symlink()
assert (dest / "alias.txt").readlink() == Path("real.txt")

View File

@@ -613,7 +613,7 @@ def test_flow_definition_merges_stacked_listen_router():
assert methods["second_router"].emit == ["second_approval", "not_approved"]
def test_flow_definition_round_trips_json_and_yaml():
def test_flow_definition_round_trips_declaration_serialization():
class RoundTripFlow(Flow):
@start()
def begin(self):
@@ -629,16 +629,122 @@ def test_flow_definition_round_trips_json_and_yaml():
definition = RoundTripFlow.flow_definition()
json_round_trip = flow_definition.FlowDefinition.from_json(definition.to_json())
yaml_round_trip = flow_definition.FlowDefinition.from_yaml(definition.to_yaml())
round_trips = [
flow_definition.FlowDefinition.from_declaration(contents=definition.to_json()),
flow_definition.FlowDefinition.from_declaration(contents=definition.to_yaml()),
]
assert json_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.methods["decide"].router is True
assert yaml_round_trip.methods["decide"].listen == "begin"
for round_trip in round_trips:
assert round_trip.to_dict() == definition.to_dict()
assert round_trip.methods["decide"].router is True
assert round_trip.methods["decide"].listen == "begin"
def test_each_action_round_trips_json_and_yaml():
def test_flow_definition_from_declaration_accepts_contents():
data = {
"schema": "crewai.flow/v1",
"name": "DeclarationFlow",
"methods": {
"begin": {
"start": True,
"do": {
"call": "expression",
"expr": "'started'",
},
},
},
}
definition = flow_definition.FlowDefinition.from_dict(data)
contents = [
definition,
data,
definition.to_json(),
definition.to_yaml(),
]
expected = definition.to_dict()
for content in contents:
loaded = flow_definition.FlowDefinition.from_declaration(contents=content)
assert loaded.to_dict() == expected
def test_flow_definition_from_declaration_rejects_empty_file(tmp_path: Path):
declaration_path = tmp_path / "flow.crewai"
declaration_path.write_text(" \n", encoding="utf-8")
with pytest.raises(ValueError, match="Flow declaration file is empty"):
flow_definition.FlowDefinition.from_declaration(path=declaration_path)
@pytest.mark.parametrize("contents", ["[]", "false", "0", "null", "~"])
def test_flow_definition_from_declaration_rejects_falsey_non_mapping_contents(
contents: str,
):
with pytest.raises(ValueError, match="Flow declaration must contain a mapping"):
flow_definition.FlowDefinition.from_declaration(contents=contents)
def test_flow_definition_from_declaration_accepts_paths(tmp_path: Path):
definition = flow_definition.FlowDefinition.from_dict(
{
"schema": "crewai.flow/v1",
"name": "DeclarationFlow",
"methods": {
"begin": {
"start": True,
"do": {
"call": "expression",
"expr": "'started'",
},
},
},
}
)
declaration_path = tmp_path / "flow.crewai"
declaration_path.write_text(definition.to_yaml(), encoding="utf-8")
path_inputs = [
declaration_path,
str(declaration_path),
]
for path_input in path_inputs:
loaded = flow_definition.FlowDefinition.from_declaration(path=path_input)
assert loaded.to_dict() == definition.to_dict()
assert loaded.source_path == declaration_path.resolve()
def test_flow_definition_from_declaration_requires_input():
with pytest.raises(ValueError, match="Provide contents or path"):
flow_definition.FlowDefinition.from_declaration()
def test_flow_definition_from_declaration_prefers_contents_over_path(
tmp_path: Path,
):
data = {
"schema": "crewai.flow/v1",
"name": "ContentsFlow",
"methods": {
"begin": {
"start": True,
"do": {"call": "expression", "expr": "'started'"},
},
},
}
declaration_path = tmp_path / "missing.crewai"
loaded = flow_definition.FlowDefinition.from_declaration(
contents=data,
path=declaration_path,
)
assert loaded.name == "ContentsFlow"
assert loaded.source_path is None
def test_each_action_round_trips_declaration_serialization():
definition = flow_definition.FlowDefinition.from_dict(
{
"schema": "crewai.flow/v1",
@@ -677,15 +783,17 @@ def test_each_action_round_trips_json_and_yaml():
}
)
json_round_trip = flow_definition.FlowDefinition.from_json(definition.to_json())
yaml_round_trip = flow_definition.FlowDefinition.from_yaml(definition.to_yaml())
round_trips = [
flow_definition.FlowDefinition.from_declaration(contents=definition.to_json()),
flow_definition.FlowDefinition.from_declaration(contents=definition.to_yaml()),
]
assert json_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.methods["process_rows"].description == (
"Process every loaded row."
)
assert yaml_round_trip.methods["process_rows"].do.call == "each"
for round_trip in round_trips:
assert round_trip.to_dict() == definition.to_dict()
assert round_trip.methods["process_rows"].description == (
"Process every loaded row."
)
assert round_trip.methods["process_rows"].do.call == "each"
def test_flow_definition_rejects_invalid_method_names():

View File

@@ -454,7 +454,7 @@ def assert_parity(flow_cls, yaml_str, inputs=None, ordered=True):
class_flow = flow_cls()
class_result, class_events = _run_with_events(class_flow, inputs)
definition = FlowDefinition.from_yaml(yaml_str)
definition = FlowDefinition.from_declaration(contents=yaml_str)
definition_flow = Flow.from_definition(definition)
definition_result, definition_events = _run_with_events(definition_flow, inputs)
@@ -477,6 +477,21 @@ def test_simple_chain_parity():
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_flow_from_declaration_builds_runnable_flow():
flow = Flow.from_declaration(contents=CHAIN_YAML)
assert flow.kickoff() == "confirmed:True"
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_flow_from_declaration_accepts_flow_definition():
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_declaration(contents=definition)
assert flow.kickoff() == "confirmed:True"
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_and_or_merge_parity():
flow, _ = assert_parity(MergeFlow, MERGE_YAML, ordered=False)
assert flow.state["joined"] is True
@@ -499,7 +514,7 @@ def test_cyclic_flow_parity():
def test_definition_flow_events_use_definition_name():
definition = FlowDefinition.from_yaml(CHAIN_YAML)
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_definition(definition)
_, events = _run_with_events(flow)
assert events
@@ -588,7 +603,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "found:ai agents"
@@ -639,7 +654,7 @@ methods:
listen: begin
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "ai"}) == "found:ai agents"
@@ -758,7 +773,7 @@ methods:
listen: begin
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "search:hello agents"
@@ -783,7 +798,7 @@ methods:
listen: build_query
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "found:ai agents news"
@@ -803,7 +818,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert (
flow.kickoff(inputs={"limit": 2, "domains": ["crewai.com", "example.com"]})
@@ -836,7 +851,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"question": "What is CrewAI?"}) == {
"agent": "Analyst",
@@ -874,7 +889,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"questions": ["one", "two"]}) == [
"Analyst:one",
@@ -905,7 +920,7 @@ def test_agent_action_round_trips_with_inline_definition():
}
)
round_trip = FlowDefinition.from_yaml(definition.to_yaml())
round_trip = FlowDefinition.from_declaration(contents=definition.to_yaml())
action = round_trip.to_dict()["methods"]["answer"]["do"]
assert action["call"] == "agent"
@@ -968,7 +983,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_crew_action_runs_inline_yaml_definition(monkeypatch: pytest.MonkeyPatch):
@@ -1010,7 +1025,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "inline_research",
@@ -1086,7 +1101,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "referenced_research",
@@ -1160,9 +1175,7 @@ methods:
other_cwd.mkdir()
monkeypatch.chdir(other_cwd)
flow = Flow.from_definition(
FlowDefinition.from_yaml(yaml_str, source_path=flow_path)
)
flow = Flow.from_definition(FlowDefinition.from_declaration(path=flow_path))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "relative_research",
@@ -1185,10 +1198,9 @@ methods:
from_declaration: ../outside/crew.jsonc
start: true
"""
flow_path.write_text(yaml_str, encoding="utf-8")
flow = Flow.from_definition(
FlowDefinition.from_yaml(yaml_str, source_path=flow_path)
)
flow = Flow.from_definition(FlowDefinition.from_declaration(path=flow_path))
with pytest.raises(
ValueError,
@@ -1411,7 +1423,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_code_action_renders_keyword_inputs():
@@ -1429,7 +1441,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"name": "hello"}) == "hello!"
@@ -1448,7 +1460,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"value": "ok"}) == "callable:ok"
@@ -1472,7 +1484,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
"normalized:a",
@@ -1499,7 +1511,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
caller_thread_id = threading.get_ident()
assert flow.kickoff(inputs={"rows": ["a"]}) == ["process_rows:a"]
@@ -1526,7 +1538,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == ["async:a", "async:b"]
@@ -1548,7 +1560,7 @@ methods:
FlowScriptExecutionDisabledError,
match="CREWAI_ALLOW_FLOW_SCRIPT_EXECUTION=1",
) as exc_info:
Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert "methods with unresolvable actions" not in str(exc_info.value)
@@ -1572,7 +1584,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"raw_score": 3.2}) == "rounded:4"
assert flow.state["rounded"] == 4
@@ -1601,7 +1613,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "alpha:alpha"
assert flow.state["input_matches_output"] is True
@@ -1639,7 +1651,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": [" a ", " b "]}) == ["global:a", "global:b"]
@@ -1671,7 +1683,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
{"row": "a", "normalized": "saved:a"},
@@ -1700,7 +1712,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == ["a", "b"]
assert flow._method_outputs == [
@@ -1738,7 +1750,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
"local:a",
@@ -1777,7 +1789,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(
inputs={
@@ -1811,7 +1823,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": [{"kind": "keep", "value": "a"}]}) == ["a"]
@@ -1838,7 +1850,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(
inputs={
@@ -1868,7 +1880,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(ValueError, match="if expression must evaluate to a boolean"):
flow.kickoff(inputs={"rows": [{"value": "truthy"}]})
@@ -1898,7 +1910,7 @@ methods:
listen: process_rows
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
events = []
with crewai_event_bus.scoped_handlers():
@@ -2069,7 +2081,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(RuntimeError, match="bad row"):
flow.kickoff(inputs={"rows": ["ok", "bad"]})
@@ -2190,7 +2202,7 @@ methods:
listen: right
"""
definition = FlowDefinition.from_yaml(yaml_str)
definition = FlowDefinition.from_declaration(contents=yaml_str)
assert Flow.from_definition(definition).kickoff(
inputs={"direction": "left"}
@@ -2213,7 +2225,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_expression_action_rejects_unknown_cel_root():
@@ -2229,7 +2241,7 @@ methods:
"""
with pytest.raises(ValidationError, match="unknown CEL root"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_tool_action_requires_module_qualname_ref():
@@ -2263,14 +2275,16 @@ def test_pydantic_state_from_ref_parity():
def test_pydantic_state_default_overlay():
flow = Flow.from_definition(FlowDefinition.from_yaml(PYDANTIC_STATE_OVERLAY_YAML))
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=PYDANTIC_STATE_OVERLAY_YAML)
)
result = flow.kickoff()
assert result == "count=6"
assert flow.state.count == 6
def test_json_schema_state():
flow = Flow.from_definition(FlowDefinition.from_yaml(JSON_SCHEMA_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=JSON_SCHEMA_STATE_YAML))
result = flow.kickoff()
assert result == "count=1"
assert flow.state.count == 1
@@ -2279,14 +2293,14 @@ def test_json_schema_state():
def test_json_schema_state_validates_inputs():
flow = Flow.from_definition(FlowDefinition.from_yaml(JSON_SCHEMA_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=JSON_SCHEMA_STATE_YAML))
with pytest.raises(ValueError, match="Invalid inputs"):
flow.kickoff(inputs={"count": "not-a-number"})
def test_pydantic_state_falls_back_to_json_schema_when_ref_unimportable():
flow = Flow.from_definition(
FlowDefinition.from_yaml(PYDANTIC_REF_WITH_SCHEMA_FALLBACK_YAML)
FlowDefinition.from_declaration(contents=PYDANTIC_REF_WITH_SCHEMA_FALLBACK_YAML)
)
result = flow.kickoff()
assert result == "count=1"
@@ -2295,7 +2309,9 @@ def test_pydantic_state_falls_back_to_json_schema_when_ref_unimportable():
def test_pydantic_state_without_ref_or_schema_falls_back_to_dict(caplog):
with caplog.at_level("ERROR"):
flow = Flow.from_definition(FlowDefinition.from_yaml(UNRESOLVABLE_STATE_YAML))
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=UNRESOLVABLE_STATE_YAML)
)
assert "falling back to dict state" in caplog.text
result = flow.kickoff()
@@ -2305,7 +2321,7 @@ def test_pydantic_state_without_ref_or_schema_falls_back_to_dict(caplog):
def test_dict_state_is_a_copy_of_default_plus_id():
definition = FlowDefinition.from_yaml(DICT_STATE_YAML)
definition = FlowDefinition.from_declaration(contents=DICT_STATE_YAML)
flow = Flow.from_definition(definition)
assert flow.state["count"] == 5
@@ -2322,7 +2338,7 @@ def test_dict_state_is_a_copy_of_default_plus_id():
def test_unknown_state_type_falls_back_to_dict(caplog):
with caplog.at_level("WARNING"):
flow = Flow.from_definition(FlowDefinition.from_yaml(UNKNOWN_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=UNKNOWN_STATE_YAML))
assert "falling back to dict state" in caplog.text
result = flow.kickoff()
@@ -2395,7 +2411,7 @@ def _run_capturing_flow_lifecycle(yaml_str, event_types):
def capture(source, event):
events.append(event)
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
result = flow.kickoff()
return flow, result, events
@@ -2409,7 +2425,7 @@ _LIFECYCLE_EVENTS = [
]
def test_config_suppress_flow_events_from_yaml():
def test_config_suppress_flow_events_from_declaration():
twin_events = []
with crewai_event_bus.scoped_handlers():
for event_type in _LIFECYCLE_EVENTS:
@@ -2432,14 +2448,14 @@ def test_config_suppress_flow_events_from_yaml():
)
def test_config_max_method_calls_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(CAPPED_LOOP_YAML))
def test_config_max_method_calls_from_declaration():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=CAPPED_LOOP_YAML))
with pytest.raises(RecursionError, match="has been called 2 times"):
flow.kickoff()
def test_config_stream_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(STREAMING_CHAIN_YAML))
def test_config_stream_from_declaration():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=STREAMING_CHAIN_YAML))
streaming = flow.kickoff()
assert isinstance(streaming, FlowStreamingOutput)
for _ in streaming:
@@ -2448,7 +2464,7 @@ def test_config_stream_from_yaml():
assert flow.stream is True
def test_config_defer_trace_finalization_from_yaml():
def test_config_defer_trace_finalization_from_declaration():
_, _, baseline_events = _run_capturing_flow_lifecycle(
CHAIN_YAML, [FlowFinishedEvent]
)
@@ -2462,7 +2478,7 @@ def test_config_defer_trace_finalization_from_yaml():
assert deferred_events == []
def test_config_checkpoint_from_yaml(tmp_path):
def test_config_checkpoint_from_declaration(tmp_path):
yaml_str = (
CHAIN_YAML
+ f"""
@@ -2471,19 +2487,23 @@ config:
location: {tmp_path}
"""
)
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert isinstance(flow.checkpoint, CheckpointConfig)
assert flow.checkpoint.location == str(tmp_path)
def test_config_input_provider_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(INPUT_PROVIDER_CHAIN_YAML))
def test_config_input_provider_from_declaration():
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=INPUT_PROVIDER_CHAIN_YAML)
)
assert isinstance(flow.input_provider, StubInputProvider)
def test_round_trip_config_equivalence():
class_flow = ConfiguredFlow()
definition = FlowDefinition.from_yaml(ConfiguredFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(
contents=ConfiguredFlow.flow_definition().to_yaml()
)
definition_flow = Flow.from_definition(definition)
assert definition.config.suppress_flow_events is True
@@ -2653,9 +2673,9 @@ class MethodPersistedFlow(Flow):
return "two"
def test_flow_level_persist_from_yaml_saves_once_per_method():
def test_flow_level_persist_from_declaration_saves_once_per_method():
yaml_str = _flow_level_persist_yaml("yaml-flow-level")
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
result = flow.kickoff()
assert result == "two"
@@ -2665,9 +2685,9 @@ def test_flow_level_persist_from_yaml_saves_once_per_method():
assert final_save["id"] == flow.state["id"]
def test_method_level_persist_from_yaml_saves_only_that_method():
def test_method_level_persist_from_declaration_saves_only_that_method():
yaml_str = _method_level_persist_yaml("yaml-method-level")
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-method-level") == ["first"]
@@ -2696,20 +2716,20 @@ methods:
persist:
enabled: false
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-opt-out") == ["first"]
def test_persist_restore_by_id_from_yaml():
def test_persist_restore_by_id_from_declaration():
yaml_str = _flow_level_persist_yaml("yaml-restore")
flow1 = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow1 = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow1.kickoff()
assert flow1.state["count"] == 2
flow2 = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow2 = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow2.kickoff(inputs={"id": flow1.state["id"]})
assert flow2.state["count"] == 4
@@ -2729,7 +2749,9 @@ def test_method_level_persist_decorator_saves_only_that_method():
def test_round_trip_persist_equivalence():
definition = FlowDefinition.from_yaml(ClassPersistedFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(
contents=ClassPersistedFlow.flow_definition().to_yaml()
)
before = len(DefinitionStoreBackend.saves["class-decorator"])
flow = Flow.from_definition(definition)
@@ -2738,7 +2760,7 @@ def test_round_trip_persist_equivalence():
assert _saved_methods("class-decorator")[before:] == ["first", "second"]
def test_method_persist_backend_overrides_flow_level_backend_from_yaml():
def test_method_persist_backend_overrides_flow_level_backend_from_declaration():
yaml_str = f"""
schema: crewai.flow/v1
name: PersistedFlow
@@ -2762,7 +2784,7 @@ methods:
persistence_type: DefinitionStoreBackend
store: yaml-mixed-method
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-mixed-flow") == ["first"]
@@ -2910,8 +2932,8 @@ methods:
"""
def test_human_feedback_from_yaml_default_outcome_routes():
flow = Flow.from_definition(FlowDefinition.from_yaml(REVIEW_YAML))
def test_human_feedback_from_declaration_default_outcome_routes():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=REVIEW_YAML))
with patch.object(flow, "_request_human_feedback", return_value="") as request:
result = flow.kickoff()
@@ -2922,8 +2944,8 @@ def test_human_feedback_from_yaml_default_outcome_routes():
assert flow.last_human_feedback.output == "draft-content"
def test_human_feedback_from_yaml_collapses_and_routes():
flow = Flow.from_definition(FlowDefinition.from_yaml(REVIEW_YAML))
def test_human_feedback_from_declaration_collapses_and_routes():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=REVIEW_YAML))
with (
patch.object(flow, "_request_human_feedback", return_value="ship it"),
@@ -2940,7 +2962,7 @@ def test_round_trip_human_feedback_equivalence():
with patch.object(class_flow, "_request_human_feedback", return_value=""):
class_result = class_flow.kickoff()
definition = FlowDefinition.from_yaml(ReviewFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(contents=ReviewFlow.flow_definition().to_yaml())
twin = Flow.from_definition(definition)
with patch.object(twin, "_request_human_feedback", return_value=""):
twin_result = twin.kickoff()
@@ -2953,8 +2975,8 @@ def test_round_trip_human_feedback_equivalence():
)
def test_human_feedback_pending_and_resume_from_yaml():
definition = FlowDefinition.from_yaml(PENDING_REVIEW_YAML)
def test_human_feedback_pending_and_resume_from_declaration():
definition = FlowDefinition.from_declaration(contents=PENDING_REVIEW_YAML)
flow = Flow.from_definition(definition)
pending = flow.kickoff()
@@ -2975,7 +2997,7 @@ def test_human_feedback_pending_and_resume_from_yaml():
assert flow_id not in DefinitionStoreBackend.pending
def test_flow_config_provider_fallback_from_yaml():
def test_flow_config_provider_fallback_from_declaration():
yaml_str = f"""
schema: crewai.flow/v1
name: ConfigProviderFlow
@@ -3001,7 +3023,7 @@ methods:
return "from-config"
provider = RecordingProvider()
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
previous = flow_config.hitl_provider
flow_config.hitl_provider = provider
@@ -3104,7 +3126,7 @@ methods:
message: "Review:"
provider: {__name__}:_NeedsArgsProvider
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(
ValueError, match="cannot instantiate human_feedback.provider ref"
@@ -3125,7 +3147,7 @@ methods:
message: "Review:"
provider: missing_module_xyz:Provider
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(
ValueError, match="unresolvable human_feedback.provider ref"
@@ -3137,7 +3159,7 @@ def _checkpoint_chain_flow(tmp_path):
from crewai.state.provider.json_provider import JsonProvider
from crewai.state.runtime import RuntimeState
definition = FlowDefinition.from_yaml(CHAIN_YAML)
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_definition(definition)
result = flow.kickoff()
assert result == "confirmed:True"
@@ -3177,7 +3199,7 @@ state:
methods: {}
"""
with pytest.raises(ValidationError, match="default"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_definition_method_missing_from_class_fails_loudly():

View File

@@ -1,3 +1,3 @@
"""CrewAI development tools."""
__version__ = "1.14.8a2"
__version__ = "1.14.8a4"

63
uv.lock generated
View File

@@ -13,7 +13,7 @@ resolution-markers = [
]
[options]
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 = "2026-06-20T16:46:21.117658Z"
exclude-newer-span = "P3D"
[options.exclude-newer-package]
@@ -1452,9 +1452,9 @@ requires-dist = [
{ name = "openai", specifier = ">=2.30.0,<3" },
{ name = "openpyxl", specifier = "~=3.1.5" },
{ name = "openpyxl", marker = "extra == 'openpyxl'", specifier = "~=3.1.5" },
{ name = "opentelemetry-api", specifier = "~=1.34.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.34.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.34.0" },
{ name = "opentelemetry-api", specifier = "~=1.42.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.42.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.42.0" },
{ name = "pandas", marker = "extra == 'pandas'", specifier = "~=2.2.3" },
{ name = "pdfplumber", specifier = "~=0.11.4" },
{ name = "portalocker", specifier = "~=2.7.0" },
@@ -1539,9 +1539,9 @@ requires-dist = [
{ name = "appdirs", specifier = "~=1.4.4" },
{ name = "cryptography", specifier = ">=42.0" },
{ name = "httpx", specifier = "~=0.28.1" },
{ name = "opentelemetry-api", specifier = "~=1.34.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.34.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.34.0" },
{ name = "opentelemetry-api", specifier = "~=1.42.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.42.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.42.0" },
{ name = "packaging", specifier = ">=23.0" },
{ name = "portalocker", specifier = "~=2.7.0" },
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