Role is now just System/User/Assistant — maps 1:1 to the grammar.
Leaf types are NodeBody variants: Content, Thinking, ToolCall,
ToolResult, Memory, Dmn, Log. Each variant renders itself; no Role
needed on leaves. AstNode is Leaf(NodeLeaf) | Branch{role, children}.
ContextState holds four Vec<AstNode> sections directly.
Moved tool call XML parsing from api/parsing.rs into context_new.rs
so all grammar knowledge lives in one place.
Tokenizer encode() now returns empty vec when uninitialized instead
of panicking, so tests work without the tokenizer file.
26 tests: XML parsing, incremental streaming (char-by-char feeds
found and fixed a lookahead bug), rendering for all node types,
tokenizer round-trip verification.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
Add agent/tokenizer.rs with global Qwen 3.5 tokenizer that generates
actual token IDs including chat template wrapping. ContextEntry now
stores token_ids: Vec<u32> instead of tokens: usize — the count is
derived from the length.
ContextEntry::new() tokenizes automatically via the global tokenizer.
ContextSection::push_entry() takes a raw ConversationEntry and
tokenizes it. set_message() re-tokenizes without needing an external
tokenizer parameter.
Token IDs include the full chat template: <|im_start|>role\ncontent
<|im_end|>\n — so concatenating token_ids across entries produces a
ready-to-send prompt for vLLM's /v1/completions endpoint.
The old tiktoken CoreBPE is now unused on Agent (will be removed in
a followup). Token counts are now exact for Qwen 3.5 instead of the
~85-90% approximation from cl100k_base.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
