---
title: "ElevenLabs best practices"
answer: "ElevenLabs logs arrive from post-call transcription webhooks rather than live API interception, so they land after a conversation ends and omit fields that only exist at request time. Knowing which fields are structurally unavailable saves you from chasing gaps that are not misconfiguration."
category: "Provider guides"
tags: ["elevenlabs","voice","providers"]
published: 2026-08-30T13:57:52Z
updated: 2026-08-30T13:57:52Z
canonical_url: https://coolhandlabs.com/help/elevenlabs-best-practices
index_url: https://coolhandlabs.com/help.md
---

# ElevenLabs best practices

ElevenLabs logs arrive from post-call transcription webhooks rather than live API interception, so they land after a conversation ends and omit fields that only exist at request time. Knowing which fields are structurally unavailable saves you from chasing gaps that are not misconfiguration.

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## Logs come from post-call webhooks, not real-time API interception

ElevenLabs logs are populated from transcription webhooks sent after a voice conversation ends — not from intercepting LLM API calls. This has significant implications for what data is available.

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## What the prompt and response fields contain

| Field | Contents |
|-------|---------|
| **User Prompt** | All user-side utterances from the full conversation, joined |
| **Assistant Response** | All agent-side utterances from the full conversation, joined |

These are transcripts of the whole call, not individual turns.

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## Most fields are always blank

The webhook payload does not include: model name, temperature, input/output token counts, latency, or system prompt. All of these will always be blank for ElevenLabs logs.

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## Structured outputs

Not applicable — ElevenLabs is a voice AI platform, not a text generation API.

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## Caching

Not applicable.

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## What ElevenLabs logs are useful for

Conversation quality review, feedback collection on voice interactions, and volume tracking. Not useful for cost analysis (no token counts) or performance benchmarking (no latency or model data).


---

Related:
- [Anthropic API best practices](https://coolhandlabs.com/help/anthropic-api-best-practices.md)
- [AWS Bedrock best practices](https://coolhandlabs.com/help/aws-bedrock-best-practices.md)
- [OpenAI API best practices](https://coolhandlabs.com/help/openai-api-best-practices.md)
- [Google Gemini best practices](https://coolhandlabs.com/help/google-gemini-best-practices.md)

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