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feat: collect agent response per cycle (#46)
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README.md

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@@ -651,6 +651,7 @@ In the OpenTelemetry Span model, information such as "the model ID used for the
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| `ai.tool.input` | The input parameters provided to the tool |
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| `ai.tool.output` | The response/output from the tool invocation |
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| `ai.tool.error` | Error information if tool invocation fails |
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| `ai.tool.error.traceback` | Full Python traceback information when tool invocation fails |
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| `ai.user.input` | The input provided by the user in the conversation |
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| `ai.llm.request.inference.config` | Configuration settings for the LLM inference |
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| `ai.llm.request.messages` | Messages being sent to the LLM |
@@ -671,6 +672,9 @@ In the OpenTelemetry Span model, information such as "the model ID used for the
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| `ai.llm.response.trace` | Trace information |
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| `ai.llm.response.performance.config` | The performance config |
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| `ai.agent.response` | The final concatenated response from the agent |
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| `ai.agent.cycle.nr` | The cycle number during agent conversation processing, indicating which iteration of the conversation loop is being executed |
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| `ai.agent.cycle.response` | The agent's response text for a specific cycle/iteration during conversation processing |
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| `ai.conversation.aborted` | Boolean flag indicating whether the conversation was aborted due to a stop event |
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| `service.name` | Name of the service, set to the class name of the agent |
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