v0.18.2-rc1: launch: fix openclaw not picking up newly selected model (#14943)

Ollama, the open-source platform for running large language models (LLMs) like Llama 3 and Mistral locally, has pushed a new release candidate, v0.18.2-rc1. The primary fix addresses a significant bug (issue #14943) in the 'launch' process related to its OpenClaw component. The bug caused active AI sessions to retain a stale reference to a previously selected model. Even if a user or application changed the primary model designation, OpenClaw would fail to pick up this change, continuing to use the old model for generation. This could lead to unexpected outputs, broken workflows, and debugging headaches for developers building on Ollama's API.

The fix ensures that when the primary model is updated, OpenClaw correctly refreshes its internal state and uses the newly selected model for subsequent operations. This is crucial for applications that dynamically switch between models—like comparing outputs from Llama 3 70B versus a smaller, faster model like Phi-2—or for users managing multiple specialized models. The commit (5759c2d) was verified and signed by GitHub, and the release is tagged as a release candidate (rc), meaning it's undergoing final testing before a stable public release. For the project's 166k GitHub stars and its extensive user base, this patch reinforces the stability of programmatic interactions with Ollama's powerful local inference engine.