fix(structured): harden structured output for local servers and thinking models

- Local servers (LM Studio, vLLM) reject the object-form tool_choice langchain
  sends for function calling. The generic openai_compatible provider now binds
  the schema as a tool without forcing tool_choice.
- A structured call can return no parsed result (a thinking model answering in
  plain text); fall back to free text with a clear reason instead of an opaque
  render error.
This commit is contained in:
Yijia-Xiao
2026-06-21 22:09:43 +00:00
parent 9ad98c55c5
commit 517eeaf4b9
4 changed files with 70 additions and 2 deletions

View File

@@ -121,6 +121,24 @@ def _structured_trader_llm(captured: dict, proposal: TraderProposal | None = Non
return llm
@pytest.mark.unit
def test_invoke_structured_falls_back_when_result_is_none():
# A thinking model can answer in plain text, leaving the parser with None.
# That must fall back to free text, not crash on render(None) (#1051).
from tradingagents.agents.utils.structured import invoke_structured_or_freetext
structured = MagicMock()
structured.invoke.return_value = None
plain = MagicMock()
plain.invoke.return_value = MagicMock(content="FREETEXT")
out = invoke_structured_or_freetext(
structured, plain, "prompt", render=lambda r: r.rating, agent_name="t"
)
assert out == "FREETEXT"
plain.invoke.assert_called_once()
@pytest.mark.unit
class TestTraderAgent:
def test_structured_path_produces_rendered_markdown(self):