fix(deps): bump pydantic to 2.13.4 to avoid pydantic-core thread segfault (#29021)

* fix(deps): bump pydantic to 2.13.4 to avoid pydantic-core thread segfault

pydantic-core 2.41.5 (pulled by pydantic==2.12.5) segfaults when the
OpenAI SDK's Responses API resource (client.responses.create /
client.responses.stream) is exercised from a non-main threading.Thread.

Hermes always dispatches codex_responses calls from a daemon thread in
agent/chat_completion_helpers.py:_call, so the crash is 100%
reproducible whenever the active provider is xai-oauth or openai-codex.
Symptom: `hermes -z "ping"` (or any oneshot path) dies with SIGSEGV /
exit 139 and zero output — hermes_cli/oneshot.py redirects stderr to
/dev/null, hiding the crash.

Bumping pydantic to 2.13.4 pulls in pydantic-core 2.46.4, which
eliminates the crash. Verified end-to-end: `hermes -z "ping"` against
xai-oauth/grok-4.3 now returns the expected response.

Minimal repro (any OpenAI base_url; not xAI-specific):

    import threading
    from openai import OpenAI
    cli = OpenAI(api_key="sk-bogus", base_url="https://api.openai.com/v1")
    def go():
        try: cli.responses.create(model="gpt-4o", input="ping")
        except BaseException as e: print(type(e).__name__)
    threading.Thread(target=go).start()
    # → SIGSEGV with pydantic-core 2.41.5; clean 401 with 2.46.4

* chore(deps): regenerate uv.lock for pydantic 2.13.4 bump
This commit is contained in:
Fabio Siqueira
2026-05-20 15:27:14 -04:00
committed by GitHub
parent 419910ee21
commit 57a61057f5
2 changed files with 102 additions and 93 deletions

View File

@@ -41,7 +41,11 @@ dependencies = [
"ruamel.yaml==0.18.17",
"requests==2.33.0", # CVE-2026-25645
"jinja2==3.1.6",
"pydantic==2.12.5",
# Bumped from 2.12.5 to 2.13.4 to pull in pydantic-core 2.46.4.
# pydantic-core 2.41.5 (pulled by 2.12.5) segfaults when the OpenAI SDK's
# Responses API resource is exercised from a non-main thread, which is the
# codex_responses dispatch in agent/chat_completion_helpers.py:_call.
"pydantic==2.13.4",
# Interactive CLI (prompt_toolkit is used directly by cli.py)
"prompt_toolkit==3.0.52",
# Cron scheduler (built-in feature — scheduled cron/interval jobs use croniter).