Lack of visibility and debugging transparency
8/10 HighWhen AI agents fail, developers have no unified visibility across the entire stack. They must stitch together logs from the agent framework, hosting platform, LLM provider, and third-party APIs, creating a debugging nightmare. This makes it impossible to determine whether failures stem from tool calls, prompts, memory logic, model timeouts, or hallucinations.
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When the agent chooses the wrong tool, or gets routed to the wrong tool subset, nothing tells you. There's no explicit failure. The agent just... burns tokens on the wrong path. Or silently fails. Or produces output that looks correct but isn't.
The most consistent complaint from developers? Lack of visibility. When something breaks (and it will), you're left wondering: Was it the tool call? The prompt? The memory logic? A model timeout? Or just the model hallucinating again? There's no unified view across the stack.