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deepseek-harness/packages/llm/README.md
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description, kind
description kind
The LLM capability group: a provider-neutral model-call service, the DeepSeek and pi-ai provider adapters, request-retry execution, and replay-aware token measurement. package-group

llm/ — LLM capability family

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Summary

The llm group provides the harness's model-call capability: one provider-neutral service through which any composition streams requests to a model provider, plus adapters, provider-specific request metadata, retry execution, and measurement. The core llm package defines the message, content-block, and stream-chunk vocabulary every plugin and the session log use; provider adapters translate a provider's wire format into that vocabulary; DeepSeek request-extension plugins contribute lifecycle-owned metadata outside model input; llm-retry re-runs failed requests at durable agent-step boundaries; and token-meter measures request and context pressure from the durable log. This page maps the group; each package README owns its per-package contract.

Table of Contents


Packages

Package Role ctx key
llm/ Streams one model call through a registered provider adapter and shares the harness message, block, and chunk vocabulary ctx.llm
llm-deepseek/ Serves the deepseek-official route with direct DeepSeek chat-completions, thinking, and image input registers on ctx.llm
llm-pi-ai/ Serves configured provider routes through pi-ai catalogs and wire protocols, including hand-declared gateways registers on ctx.llm
deepseek-llm-api-extensions/ Registers lifecycle-owned top-level fields on official DeepSeek requests ctx.deepseekLlmApiExtensions
plugin-package-inventory-deepseek/ Contributes the active Loader package inventory to official DeepSeek requests contributes dsh_plugin_packages
llm-retry/ Retries failed model requests under each provider's policy at durable agent-step boundaries listens to agent/request-error
token-meter/ Measures request and context pressure from the durable session log with a fixed heuristic ctx.tokenMeter

Dev Note

None.