143 docs
Self-hosting

Platform LLM

Configure the LLM 143 uses for platform reasoning, classification, and analysis.

The platform LLM powers product reasoning inside 143: prioritization, summaries, failure explanation, and classification. Keep it separate from coding-agent credentials, which are used to run code-editing sessions.

Configuration model

Self-hosted deployments should define:

  • Provider.
  • Model.
  • API key or credential reference.
  • Rate limits appropriate for expected usage.
  • Fallback behavior when the provider is unavailable.

Operational guidance

  • Keep platform LLM credentials separate from coding-agent credentials.
  • Monitor provider errors and latency.
  • Start with conservative limits and raise them after observing real workload.
  • Document which models are approved for production use.

For agents

When debugging behavior, distinguish platform LLM decisions from coding-agent execution. They use different credentials and serve different parts of the workflow.

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