frank-default-small: use the repo chat_template.jinja so tools render in Qwen3 XML

The Avesed tokenizer_config.json ships no chat_template, so vLLM used its
built-in template, which does not render the <tool_call> instructions;
the model then emitted malformed XML (arguments baked into the function
name) and the qwen3_xml parser could not extract clean calls.

scripts/frank-default-small.env

@@ -42,9 +42,12 @@ NUM_SPEC_TOKENS=5
 # Tool calling. Clients (pi, OpenWebUI) send tool_choice=auto; without
 # --enable-auto-tool-choice vLLM rejects it with HTTP 400. The Avesed
 # chat template renders tools in the Qwen3 XML format, so the qwen3_xml
-# parser is the matching one.
+# parser is the matching one. CHAT_TEMPLATE must point at the repo's
+# chat_template.jinja (the tokenizer_config.json ships none; vLLM's
+# built-in template does not render the XML tool instructions).
 ENABLE_AUTO_TOOL_CHOICE=1
 TOOL_CALL_PARSER=qwen3_xml
+CHAT_TEMPLATE=/home/dank/models/avesed-qwen36-chat_template.jinja
 
 # RDNA flash-attention for the vision encoder (and general FA paths).
 # Without this, the mm encoder falls back to torch SDPA and the warmup