AI Tooling / Backend
AI Coding Agent CLI
A provider-agnostic command-line agent built around streaming model output and iterative tool execution.
❯ agent run "inspect the codebase"
# Illustrative execution trace
01 Initializing provider abstraction
02 Streaming model response▍
tool_call: read_file("src/main.ts")
Tool result added to context
Continue model → tool → result loop
DEMONSTRATION · NOT A LIVE AI SERVICE
The problem
An effective coding agent must coordinate model output, tools, and results without assuming a single provider or letting an execution loop run indefinitely.
The engineering approach
Use a provider-agnostic LLM abstraction with an iterative execution loop. Process text and tool calls incrementally, return tool results to the model, and bound execution with configurable turn limits.
What’s inside
- Model → tool → result execution loop
- Anthropic and OpenAI-compatible providers
- Asynchronous model-output streaming
- Incremental text and tool-call processing
- Configurable turn limits
- Fault-tolerant tool execution
Challenges & trade-offs
- A shared provider abstraction improves portability while needing to accommodate differences in streaming protocols.
- Turn limits bound execution; fault-tolerant tools preserve useful results when individual calls fail.
GitHub repositoryLive demo not yet provided