rob thijssen
0121a1930f
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The OpenAI `tools` API field isn't load-bearing in this stack —
neuron's chat template renders only message.content, so tool
definitions sent that way never reach the model. Move both sides
of the tool conversation into the Qwen3 Hermes wire format the
model is actually trained on:
- Append a `# Tools` block to the system prompt describing every
available function (qwen3::render_tool_block).
- Parse `<tool_call>{json}</tool_call>` markers out of the streamed
content via a chunk-boundary-safe state machine (qwen3::ToolCallParser),
surfacing them as the existing CompletionEvent::ToolCall* events
so the agent loop doesn't change.
- Re-serialise assistant turns that called tools with inline
`<tool_call>` blocks and tool results as user turns wrapped in
`<tool_response>` (qwen3::render_assistant_with_tool_calls,
render_tool_response).
Verified against cortex+Qwen3.6-27B: the model produces a
well-formed `<tool_call>{"name":"list_dir","arguments":{"path":"/tmp"}}</tool_call>`
in response to a Hermes-formatted prompt.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>