CVE-2026-107286: Pydantic AI Concurrency Limitation Issue Leading to Resource Locking
Summary
CVE-2026-107286: Pydantic AI: Concurrency-limited models can keep their slot when a streamed request ends early. Affects pydantic-ai versions >= 2.10.0, < 2.53.0. Fixed in 2.53.0. How to fix ↓
Also tracked for
- pydantic-ai-slim · PyPI
The same CVE-2026-107286 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
Pydantic AI is a Python library designed for data validation and settings management using Python type annotations. It provides a robust framework for building data models and managing their lifecycle, including support for concurrency-limited models. However, a recent vulnerability has been identified that affects the concurrency management of these models, particularly in streaming scenarios, which can lead to resource locking and degraded application performance.
Vulnerability Detail
The vulnerability arises from the interaction between the ConcurrencyLimitedModel and the anyio.CapacityLimiter used in Pydantic AI. When a streamed request ends prematurely, the slot that was acquired for concurrency may not be released properly, leading to a situation where the slot remains occupied. This can prevent subsequent requests from proceeding, effectively causing a denial of service for clients trying to access the streaming endpoint. The issue is exacerbated when multiple clients repeatedly start and disconnect streams, as the completed requests retain their slots. This vulnerability is particularly critical for applications that share a long-lived model limiter across requests.
How To Fix
Latest published version: 2.60.0 as of 23 Oct 2026
pip install --upgrade "pydantic-ai==2.60.0"
Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.
If you need the minimum change
2.53.0
This is the first release that contains the fix.
pip install --upgrade "pydantic-ai==2.53.0"
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Workaround
If upgrading is not immediately feasible, consider using the agent-level max_concurrency setting instead of a concurrency-limited model. Additionally, avoid using streaming runs through a concurrency-limited model to mitigate the risk of resource locking.
Conclusion
The vulnerability identified as CVE-2026-107286 in Pydantic AI poses a significant risk to applications utilizing concurrency-limited models, particularly in streaming contexts. It is crucial for developers to upgrade to the patched versions or implement the suggested workarounds to mitigate the risks associated with this issue.
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FAQ
The vulnerability can lead to resource locking, preventing new requests from being processed, which may result in denial of service for clients.
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Versions of Pydantic AI starting from 2.10.0 up to 2.52.0 are affected by this vulnerability.
If immediate upgrading is not possible, use the agent-level max_concurrency setting or avoid streaming runs through a concurrency-limited model.
The CVSS score of this vulnerability is 7.5, indicating a high severity level.
References
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