The core request is to add support for `OpenAI Codex` and `opencode` as alternative backends for the `autoresearch` tool. This indicates a desire for broader LLM provider compatibility and flexibility, especially given limitations with the current `Claude` integration.

This issue highlights a critical demand for multi-provider flexibility within the `autoresearch` tool. Users are actively requesting support for alternative LLM backends like `OpenAI Codex` and `opencode`, driven by perceived limitations or constraints with the current `Claude` integration. This indicates a market need for developer tools that are not tightly coupled to a single AI provider but can leverage a diverse ecosystem of models. The ability to switch or integrate various LLMs is crucial for developers seeking optimal performance, cost-effectiveness, or to circumvent provider-specific limitations. This directly impacts the product's competitive positioning and long-term viability in a rapidly evolving AI landscape.