forked from kent/consciousness
a29b6d4c5d
When api_base_url is configured, agents call the LLM directly via OpenAI-compatible API (vllm, llama.cpp, etc.) instead of shelling out to claude CLI. Implements the full tool loop: send prompt, if tool_calls execute them and send results back, repeat until text. This enables running agents against local/remote models like Qwen-27B on a RunPod B200, with no dependency on claude CLI. Config fields: api_base_url, api_key, api_model. Falls back to claude CLI when api_base_url is not set. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
28 lines
1 KiB
Rust
28 lines
1 KiB
Rust
// Agent layer: LLM-powered operations on the memory graph
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//
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// Everything here calls external models (Sonnet, Haiku) or orchestrates
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// sequences of such calls. The core graph infrastructure (store, graph,
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// spectral, search, similarity) lives at the crate root.
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//
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// llm — model invocation, response parsing
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// prompts — prompt generation from store data
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// defs — agent file loading and placeholder resolution
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// audit — link quality review via Sonnet
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// consolidate — full consolidation pipeline
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// knowledge — agent execution, conversation fragment selection
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// enrich — journal enrichment, experience mining
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// digest — episodic digest generation (daily/weekly/monthly)
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// daemon — background job scheduler
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// transcript — shared JSONL transcript parsing
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pub mod transcript;
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pub mod api;
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pub mod llm;
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pub mod prompts;
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pub mod defs;
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pub mod audit;
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pub mod consolidate;
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pub mod knowledge;
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pub mod enrich;
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pub mod digest;
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pub mod daemon;
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