forked from kent/consciousness
c5745e38e2
- context.rs gains is_assistant, render_branch_text, render_prior_context alongside memory_key / is_memory_node. They're pure AST helpers, used by both the finetune pipeline and the forthcoming compare screen. - new subconscious/generate.rs holds gen_continuation(context, entry_idx, skip, client): build the prompt from a context prefix with an arbitrary skip predicate, send to the model, decode the completion. Takes both the predicate and the client so callers can aim it at memory-stripped contexts (finetune), same-context-different-model (F7 compare), or whatever else. - learn.rs drops its private copies of those helpers and the inline generate_alternate; the finetune path now reads as gen_continuation(context, idx, is_memory_node, client). Pure refactor, no behavior change. Co-Authored-By: Proof of Concept <poc@bcachefs.org>
46 lines
1.6 KiB
Rust
46 lines
1.6 KiB
Rust
// generate.rs — Continuation generation for scoring / comparison flows.
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//
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// Shared by the finetune pipeline (learn.rs) and the compare screen:
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// given a context prefix and a skip predicate, generate what the model
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// would say as the next assistant turn.
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use crate::agent::api::{ApiClient, SamplingParams, StreamToken};
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use crate::agent::context::{AstNode, ContextState};
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use crate::agent::tokenizer;
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/// Generate an assistant continuation from the context up to `entry_idx`,
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/// with `skip` applied to identity + conversation entries during prompt
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/// assembly. The model is whichever `client` points at — the default
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/// runtime client for memory-ablation alternates, a test-model client
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/// for F7 comparison.
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pub async fn gen_continuation<F>(
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context: &ContextState,
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entry_idx: usize,
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skip: F,
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client: &ApiClient,
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) -> anyhow::Result<String>
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where F: FnMut(&AstNode) -> bool,
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{
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let (mut prompt, images, _) = context.wire_prompt(0..entry_idx, skip);
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prompt.push(tokenizer::IM_START);
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prompt.extend(tokenizer::encode("assistant\n"));
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let sampling = SamplingParams {
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temperature: 0.6,
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top_p: 0.95,
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top_k: 20,
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};
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let (mut rx, _guard) = client.stream_completion_mm(&prompt, &images, sampling, Some(-5));
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let mut tokens = Vec::new();
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while let Some(tok) = rx.recv().await {
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match tok {
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StreamToken::Token(id) => tokens.push(id),
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StreamToken::Done { .. } => break,
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StreamToken::Error(e) => anyhow::bail!("generation error: {}", e),
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}
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}
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Ok(tokenizer::decode(&tokens))
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}
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