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docs(ms-ai-architect): KB-refresh MEDIUM 6/33 — multi-turn: RPM/TPM-forhold varierer per modell (6 RPM/1K kun eldre chat)

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Kjell Tore Guttormsen 2026-06-24 11:38:23 +02:00
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skills/ms-ai-advisor/references/prompt-engineering/multi-turn-conversation-management.md
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@ -1,6 +1,6 @@
# Multi-Turn Conversation and Context Management # Multi-Turn Conversation and Context Management
**Last updated:** 2026-02 **Last updated:** 2026-06-24
**Status:** GA **Status:** GA
**Category:** Prompt Engineering & LLM Optimization **Category:** Prompt Engineering & LLM Optimization
@ -312,7 +312,7 @@ AgentSession resumedSession = await agent.DeserializeSessionAsync(serializedSess
- Prompt tokens + `max_tokens` parameter + `best_of` parameter - Prompt tokens + `max_tokens` parameter + `best_of` parameter
- **Ikke** identisk med billing token count - **Ikke** identisk med billing token count
**RPM (Requests-Per-Minute)** er koblet til TPM: **6 RPM per 1K TPM**. **RPM (Requests-Per-Minute)** er koblet til TPM, men **forholdet varierer per modell**. For eldre chat-modeller (gpt-4o-klassen) er det **6 RPM per 1K TPM**; reasoning-modeller bruker andre forhold (f.eks. o3 og o4-mini: 1 RPM/1K TPM; o3-mini, o1-mini og o3-pro: 1 RPM/10K TPM; o1: 1 RPM/6K TPM).
**Best practices:** **Best practices:**
- Implementer exponential backoff ved 429-errors - Implementer exponential backoff ved 429-errors