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stagehand-python@4.2.1a0.dev1594: fix(extension): bind LLM/gateway fetch to a load-time reference ( 3153)

Browserbase Stagehand releases published stagehand-python@4.2.1a0.dev1594: fix(extension): bind LLM/gateway fetch to a load-time reference ( 3153). What Internal hardening of how the browser runtime issues authenticated LLM and Model Gateway requests: they now use a fetch reference captured at startup rather than the ambient global. No public API or…

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Why this signal matters

Browserbase Stagehand releases published stagehand-python@4.2.1a0.dev1594: fix(extension): bind LLM/gateway fetch to a load-time reference ( 3153). This automated release-watch entry was generated from the project's official GitHub release feed and is kept separate from human-reviewed editorial analysis. Release notes: What Internal hardening of how the browser runtime issues authenticated LLM and Model Gateway requests: they now use a fetch reference captured at startup rather than the ambient global. No public API or behavior change for callers. Changes extension/llm/boundFetch.ts (new) — a fetch reference captured at module load. extension/llm/aiSdkClient.ts — pass boundFetch into the provider connection (OpenAI/Anthropic/Google/Groq/Cerebras). extension/llm/LLMProvider.ts — pass boundFetch into getAISDKLanguageModel 's provider factory. extension/llm/gatewayClient.ts — fetchWithoutModel uses boundFetch ; createGatewayLanguageModel always passes the load-time reference (previously only when no model config). sdk-go embedded extension regenerated; gateway-client test updated to the new contract. Draft — part of an incremental hardening series.

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Actionable summary

Treat stagehand-python@4.2.1a0.dev1594: fix(extension): bind LLM/gateway fetch to a load-time reference ( 3153) as an official release signal. Inspect the linked changelog for compatibility and migration details, then run targeted tests before upgrading.

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77/100
Confidence
96%
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What builders should check

  • Review the official Browserbase Stagehand releases release notes before upgrading.
  • Check compatibility, migration, and security notes against your current agent stack.
  • Run focused regression tests before production rollout.
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