The previous two posts covered how events flow from the SDK to the UI. This post focuses on visualizing one specific type of event: tool calls. Tool invocations are the most frequent operations in an Agent application. A typical task might call tools twenty or thirty times—reading files, writing files, executing commands, searching code. If every tool call renders as the same gray block, it's hard
Post 1 covered how AgentBridge converts the SDK's AsyncStream<SDKMessage> into [AgentEvent]. This post looks at what [AgentEvent] becomes — how TimelineView renders 18 event types, handles scroll behavior, and stays smooth when the event count gets large. TimelineView is the main body of the workspace, filling all the space between the sidebar and the input box. Its view hierarchy is shallow: Time
Building AI calling agents shouldn't require a commercial license or massive per-minute markups. If you are a Python developer, you should be able to spin up a sub-500ms latency voice agent on your own machine. Prerequisites Python 3.10+ A Twilio or Telnyx SIP Trunk LiveKit Credentials An OpenAI API Key First, clone the Siphon repository and install the requirements. pip install siphon-ai Next, c