mirror of
https://github.com/TauricResearch/TradingAgents.git
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Yijia-Xiao
c9695673bf
- build_llm_kwargs(config) replaces the graph's _get_provider_kwargs, with the retry and token coercion beside it
118 lines
4.0 KiB
Python
118 lines
4.0 KiB
Python
"""Configurable output-token cap (#1204).
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Some model/gateway combinations (e.g. deepseek-v4-flash deployments) emit
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unbounded reasoning/output and hang or trip an idle timeout. An opt-in
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``max_tokens`` config knob is forwarded to every provider so a run can bound it;
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Gemini names the parameter ``max_output_tokens``, so it is forwarded under the
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right key per provider.
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"""
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from __future__ import annotations
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import importlib
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import pytest
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import tradingagents.default_config as default_config_module
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from tradingagents.llm_clients.factory import _coerce_max_tokens, build_llm_kwargs
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# --- coercion / validation -------------------------------------------------
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@pytest.mark.unit
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@pytest.mark.parametrize("value,expected", [(1, 1), (8192, 8192), ("4096", 4096)])
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def test_coerce_accepts_positive_ints_and_numeric_strings(value, expected):
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assert _coerce_max_tokens(value) == expected
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@pytest.mark.unit
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@pytest.mark.parametrize("bad", [0, -1, "0", "-5"])
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def test_coerce_rejects_non_positive(bad):
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with pytest.raises(ValueError, match="> 0"):
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_coerce_max_tokens(bad)
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@pytest.mark.unit
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@pytest.mark.parametrize("bad", [True, False])
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def test_coerce_rejects_booleans(bad):
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with pytest.raises(ValueError, match="boolean"):
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_coerce_max_tokens(bad)
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@pytest.mark.unit
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@pytest.mark.parametrize("bad", ["abc", "1.5", None])
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def test_coerce_rejects_non_integers(bad):
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with pytest.raises(ValueError, match="integer"):
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_coerce_max_tokens(bad)
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# --- forwarding into provider kwargs (right key per provider) --------------
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@pytest.mark.unit
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def test_not_forwarded_when_unset():
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kwargs = build_llm_kwargs({"llm_provider": "openai", "max_tokens": None})
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assert "max_tokens" not in kwargs
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assert "max_output_tokens" not in kwargs
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@pytest.mark.unit
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@pytest.mark.parametrize("provider", ["openai", "anthropic", "deepseek", "openai_compatible"])
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def test_forwarded_as_max_tokens_for_non_google(provider):
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kwargs = build_llm_kwargs({"llm_provider": provider, "max_tokens": 8192})
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assert kwargs["max_tokens"] == 8192
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assert "max_output_tokens" not in kwargs
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@pytest.mark.unit
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def test_forwarded_as_max_output_tokens_for_google():
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# Gemini's kwarg name differs; forwarding plain max_tokens would be rejected.
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kwargs = build_llm_kwargs({"llm_provider": "google", "max_tokens": 8192})
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assert kwargs["max_output_tokens"] == 8192
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assert "max_tokens" not in kwargs
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@pytest.mark.unit
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def test_env_string_is_coerced():
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kwargs = build_llm_kwargs({"llm_provider": "openai", "max_tokens": "4096"})
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assert kwargs["max_tokens"] == 4096
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@pytest.mark.unit
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def test_invalid_value_fails_loudly():
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with pytest.raises(ValueError):
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build_llm_kwargs({"llm_provider": "openai", "max_tokens": 0})
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# --- client-side allowlists carry the kwarg --------------------------------
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@pytest.mark.unit
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def test_openai_and_google_clients_accept_the_kwarg():
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from tradingagents.llm_clients import openai_client
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from tradingagents.llm_clients.google_client import GoogleClient # noqa: F401
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assert "max_tokens" in openai_client._PASSTHROUGH_KWARGS
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# Google client forwards max_output_tokens through construction.
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llm = GoogleClient("gemini-3.5-flash", api_key="x", max_output_tokens=8192).get_llm()
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assert getattr(llm, "max_output_tokens", None) == 8192
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# --- env overlay -----------------------------------------------------------
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def _reload_with_env(monkeypatch, **overrides):
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for key in list(default_config_module._ENV_OVERRIDES):
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monkeypatch.delenv(key, raising=False)
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for key, val in overrides.items():
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monkeypatch.setenv(key, val)
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return importlib.reload(default_config_module)
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@pytest.mark.unit
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def test_default_is_none(monkeypatch):
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dc = _reload_with_env(monkeypatch)
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assert dc.DEFAULT_CONFIG["max_tokens"] is None
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@pytest.mark.unit
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def test_env_override_sets_config(monkeypatch):
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dc = _reload_with_env(monkeypatch, TRADINGAGENTS_MAX_TOKENS="8192")
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assert dc.DEFAULT_CONFIG["max_tokens"] == "8192"
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assert _coerce_max_tokens(dc.DEFAULT_CONFIG["max_tokens"]) == 8192
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