Model Context Shell lets AI agents compose MCP tool calls using something like Unix shell scripting. Instead of the agent orchestrating each tool call individually (loading all intermediate data into ...
This workflow shows how to add observability to LLM API calls made through LiteLLM. It uses LiteLLM's callback system to capture structured telemetry data -- request details, response content, token ...
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