Editing Openai/694057b6-101c-8007-9a65-c40578c7252d (section)

===== Tool calls may appear: =====
* in structured fields (preferred), or
* in assistant content in fallback mode.

The worker must support both.

====== When an assistant message contains tool_calls, parse them into a list of tool call objects, then partition: ======
* normal_calls = [c for c in tool_calls if c.name in normal_tool_names]
* exit_calls = [c for c in tool_calls if c.name in exit_tool_names]
* unknown_calls = everything else

Rules:
* If unknown_calls is non-empty → treat as FAILED(reason="tool_parse_error") (preserve partial output).
* Record each exit_call into signals[] immediately (best effort parsing).
* Proceed with normal_calls via the normal tool loop.

Important detail (prevents “unanswered tool calls”):
* When continuing generation after normal tool execution, the worker should append an assistant message containing only the normal tool calls, not the exit tool calls.
* Exit tool calls are treated as out-of-band signals and are not part of the conversation that requires tool responses.

This keeps exit-tools “no round trip” while avoiding confusing the model with unresponded calls.

====== If no structured tool_calls are present but the model is expected to call tools, the worker uses a BIOS-enforced convention, for example: ======
* A tool call is represented as a single JSON object (or JSON line) that includes: - {"tool": "<name>", "arguments": { ... }} - optionally with a stable prefix/suffix marker if you choose to enforce one.

Fallback parsing rules:
* Attempt parsing only when the accumulated assistant output contains a clearly delimited tool-call candidate.
* If parsed tool name is in normal tools: - treat it as a normal tool call - strip the tool-call directive from the user-visible output (so the final result isn’t polluted)
* If tool name is in exit tools: - record signal - optionally strip directive from output (recommended)
* If parsing fails or tool name unknown: - FAILED(reason="tool_parse_error") (preserve output as-is for debugging)

This fallback logic should be isolated in tooling.py and unit-tested heavily.