…gate

Completes the event loop lifecycle fix trilogy (#2190 → #2207 → #2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…-closed-delegate

Completes the event loop lifecycle fix trilogy (NousResearch#2190 → NousResearch#2207 → NousResearch#2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…-closed-delegate

Completes the event loop lifecycle fix trilogy (NousResearch#2190 → NousResearch#2207 → NousResearch#2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…-closed-delegate

Completes the event loop lifecycle fix trilogy (NousResearch#2190 → NousResearch#2207 → NousResearch#2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…-closed-delegate

Completes the event loop lifecycle fix trilogy (NousResearch#2190 → NousResearch#2207 → NousResearch#2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.

…allel (NousResearch#2207)

When the model returns multiple tool calls, run_agent.py executes them
concurrently in a ThreadPoolExecutor. Each thread called _run_async()
which used a shared persistent event loop (_get_tool_loop()). If two
async tools (like web_extract) ran in parallel, the second thread would
hit 'This event loop is already running' on the shared loop.

Fix: detect worker threads (not main thread) and use asyncio.run() with
a per-thread fresh loop instead of the shared persistent one. The shared
loop is still used for the main thread (CLI sequential path) to keep
cached async clients (httpx/AsyncOpenAI) alive.

Co-authored-by: Test <test@test.com>

…-closed-delegate

Completes the event loop lifecycle fix trilogy (NousResearch#2190 → NousResearch#2207 → NousResearch#2214). Per-thread persistent loops for worker threads prevent GC crashes on cached async clients.