fix(examples): tool closures failing to pickle across spawned worker processes - #477
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- tool functions closing over local state can't pickle to their own spawned worker process, moved them to module level - background-process registry, missing main guards, and shared temp dirs also broke across worker processes, fixed those too - swapped a deprecated gemini model in the ADK credentials example
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Describe the new behavior from this PR, and why it's needed
@toolruns in a separate OS process under the SDK's default spawn multiprocessing method
16k_credentials_google_adk.py,79_agent_message_bus.py,80_live_dashboard.py,81_chat_repl.py,82_coding_agent.py,82b_coding_agent_tui.py— runtime-only values (execution ids, working dir, shell timeout, IPCpaths) now cross via environment variables instead of closures
82b_coding_agent_tui.pyalso shared an in-memory registry acrossfour separate worker processes — replaced with a file-based registry keyed by process id, status
via PID probing
80_live_dashboard.py,81_chat_repl.py,subscription-agent.pyran orchestration asunconditional top-level code, so every spawned worker re-executed it and crashed trying to spawn
its own workers — wrapped in
if __name__ == "__main__":39c_serverless_code_execution.py_start_mock_server(port=9753) ran at module level, so every worker re-bound the port. The example hung indefinitely (>6m40s with no output past its header). Moved inside main. Verified: now completes with 2**100 = 1267650600228229401496703205376, Tool calls: 1, FinishReason.STOP.Alternatives considered
None