OpenAI Agents FunctionSpan

An OpenAI Agents FunctionSpan is an OpenAI agents span that tracks tool call executions with input/output capture.

• AKA: OpenAI Agents Tool Span, OpenAI Agents Tool Call Span, OpenAI Agents Function Call Span.
• Context:
  • It can typically record OpenAI Agents Function Name through tool identification.
  • It can typically capture OpenAI Agents Function Arguments via parameter logging.
  • It can typically store OpenAI Agents Function Results with output recording.
  • It can often track OpenAI Agents Function Duration through execution timing.
  • It can often detect OpenAI Agents Function Errors via exception capture.
  • It can often include OpenAI Agents Function Metadata with context information.
  • It can often monitor OpenAI Agents Function Retries through attempt tracking.
  • It can range from being a Simple OpenAI Agents FunctionSpan to being a Complex OpenAI Agents FunctionSpan, depending on its function complexity.
  • It can range from being a Synchronous OpenAI Agents FunctionSpan to being an Asynchronous OpenAI Agents FunctionSpan, depending on its execution model.
  • It can range from being a Internal OpenAI Agents FunctionSpan to being an External OpenAI Agents FunctionSpan, depending on its tool location.
  • It can range from being a Fast OpenAI Agents FunctionSpan to being a Slow OpenAI Agents FunctionSpan, depending on its execution time.
  • ...
• Example(s):
  • OpenAI Agents FunctionSpan Types, such as:
    • Web Search Function Span for search tool calls.
    • Database Query Function Span for data retrieval calls.
    • API Call Function Span for external service calls.
    • File Operation Function Span for filesystem operations.
  • OpenAI Agents FunctionSpan Operations, such as:
    • Function Invocation initiating tool execution.
    • Argument Validation checking parameter correctness.
    • Result Processing handling tool outputs.
  • OpenAI Agents FunctionSpan Metrics, such as:
    • Function Success Rate tracking execution reliability.
    • Function Latency measuring response times.
    • Function Usage Count monitoring call frequency.
  • ...
• Counter-Example(s):
  • OpenAI Agents GenerationSpan, which tracks LLM calls rather than tool calls.
  • OpenAI Agents AgentSpan, which monitors agent execution rather than function execution.
  • System Call Trace, which tracks OS operations rather than agent tools.
• See: OpenAI Agents Span, OpenAI Agents Tracing System, OpenAI Function Calling, Tool-Centric LLM Gateway, OpenAI Agents AgentSpan, Function Execution Monitoring, OpenAI Agents SDK.

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