In November 2022, OpenAI released the large language model (LLM) based ChatGPT tool, marking a significant leap towards the artificial general intelligence (AGI). The enormous knowledge and information packed in the LLM enables it to make decisions flexibly according to the complex and non-standardized inputs (prompts). LLM-based agents, characterized by their strong generalization abilities and broad applicability, have demonstrated significant advancements in language proficiency and interaction with humans . Motivated by the outstanding performance of these agent, scholars have explored and exploited their capability in the various tasks of chemical and material research, such as literature mining , molecule and material design , reaction condition recommendation and optimization , and lab apparatus automation . The existing reports of LLM-based agents showed scattered coverage of the stages in chemical synthesis reaction development but have not presented a path to fully exploit the potential of LLMbased agents in the entire development process. Herein, we demonstrate a unified LLM-based reaction development framework (LLM-RDF) to explore the universality and performance of LLM-based agents in the entire of chemical synthesis reaction development process (Fig. ). The findings of this work serve to map out the viable path to the autonomous end-to-end chemical synthesis development using the emerging LLM technology.