Codex is stuck and not responding? Check by approval, terminal, and log check
If Codex is stuck and unresponsive, do not send the same message repeatedly. Confirm in order whethe
The Tiangong Model Open Platform is a state-of-the-art generative AI service platform launched by Kunlun Wanwei, with the core model being the AGI Sky-Chat series, which supports natural language processing, code generation, search enhancement, image understanding, and agent construction. The platform opens the AGI Sky-Chat-2.0 and 3.0 model APIs, with advanced functions such as function call, plug-in access, RAG retrieval enhancement, and knowledge base management. Users can build custom agents through the zero-code interface, integrate search engines to achieve accurate information recall, and support multiple rounds of dialogue and system calls in combination with process orchestration. The platform is widely used in scenarios such as intelligent Q&A, content generation, office automation, customer service systems, and programming assistance, making it an efficient solution for enterprises and developers to deploy domestic AI capabilities.
It is most suitable for developing domestic agents, search-enhanced Q & A and office automation applications.
Support, knowledge base management and RAG retrieval enhancements are all important capabilities of it.
Suitable, the platform provides zero-code agent building entrances.
Suitable, its functional design obviously revolves around the implementation of enterprise applications.
It places more emphasis on agent, workflow and business tool access than simply generating text.
Zilliz is an enterprise-grade vector database and Milvus hosting platform aimed at AI application developers, data engineering teams, and enterprise retrieval teams. Its value is not to make all the work for the user at once, but to provide actionable assistance around building vector retrieval, RAG, and large-scale similarity search services: users can create vector libraries, write data, run retrieval, expand capacity, and then complete the subsequent processing based on their own business judgment. When choosing such tools, you need to pay attention to data permissions, index design, and query costs, especially when it comes to accounts, customer information, contracts, courses, audio, video, or code output, all of which should be manually reviewed. Its visibility capabilities include Vector Lakebase, Milvus, real-time vector search, and lake-scale discovery, making it more suitable for enterprise AI retrieval infrastructure.
Xpoz MCP is a social data API for AI Agents, primarily aimed at marketing teams, intelligence analytics, and AI Agent developers, providing data interfaces for brand monitoring, social listening, and lead analysis. It's for people who already have clear tasks, assets, or business processes, bringing together social data APIs, brand monitoring, and competitive intelligence into easier workflows. When using it, you need to focus on platform policies, data authorization, and privacy compliance, especially when it involves customer data, learning content, audio and video materials, business data, or public release, you should first confirm authorization and manual review. Overall, Xpoz MCP is suitable as an auxiliary tool for providing data interfaces for brand monitoring, social listening, and lead analysis, rather than a substitute for professional final judgment.
XCrawl is an AI web scraping and structured data extraction API aimed at developers, data teams, and AI app builders for scraping web pages and outputting structured JSON, Markdown, or search data. It's for those who already have a clear task, footage, or business process that brings together structured extraction, built-in agents, and AI-ready web scraping into a more actionable workflow. When using it, you need to focus on website permissions, rate limiting, and data compliance, especially when it comes to customer information, learning content, audio and video materials, business data, or public publishing. Overall, XCrawl is suitable as an aid for scraping web pages and outputting structured JSON, Markdown, or search data, rather than a substitute for the final judgment of professionals.
WebscrapeAI is a no-code web data collection automation tool aimed at operators, data teams, and researchers to automatically collect web data and organize structured results. It's better for people who already have clear assets, scripts, customer communications, or business processes that centralize no-code ingestion, structured extraction, and automation tasks into a one-to-one workflow that's easier to execute. When using it, you need to pay attention to website permissions, anti-crawling rules, and data compliance, especially when it comes to customer information, human voices, image materials, web page data, or published content, you should first confirm authorization and manual review. Overall, WebscrapeAI is suitable as an auxiliary tool for automatically collecting web page data and organizing structured results, rather than a complete replacement for the final judgment of editors, operations, R&D, or management.
WaterCrawl is a web scraping framework for LLMs, primarily aimed at developers, data teams, and AI application builders, to convert web content into data suitable for large models. It is more suitable for people who already have clear materials, scripts, customer communications, or business processes, centralizing web scraping, structured output, and large model data preparation into a more performable workflow. When using it, you need to pay attention to crawl permissions, rate limiting, and data compliance, especially when it comes to customer information, character voices, image materials, web page data, or published content. Overall, WaterCrawl is suitable as an auxiliary tool for converting web content into data suitable for large models, rather than completely replacing the final judgment of editors, operations, R&D, or managers.
VoiceAIWrapper is an AI API and developer platform for teams and creators who need a practical way to generate, organize, convert, or review work before it moves into a final production flow. It is best used with clear source material, a defined output goal, and a human review step for accuracy, rights, privacy, and publishing quality.
If Codex is stuck and unresponsive, do not send the same message repeatedly. Confirm in order whethe
codex exec In CI, it can analyze code without making changes; first check the sandbox: non-interacti
If Codex Skills is installed but does not trigger, first check if it is located in the scan director
Codex config.toml changes that don't take effect usually don't mean the TOML file is corrupted, but
After exiting the Codex CLI, you don't need to redescribe the entire task; just run codex resume sel
On August 3, 2026, the Qwen team released the Qwen 3.8-Max on the official Qwen blog, positioning it