Yijia-Xiao
a420ad0f3b
Interactive selections and flag defaults overrode TRADINGAGENTS_* env vars. Rule: an explicit env value or CLI flag wins; otherwise the env-applied default is kept. - Research depth: skip the prompt when both round-count env vars are set, and stop overwriting them (#977). - Checkpoint: --checkpoint/--no-checkpoint is tri-state; omitting it keeps TRADINGAGENTS_CHECKPOINT_ENABLED (#976). - Docker ollama: use TRADINGAGENTS_LLM_PROVIDER + OLLAMA_BASE_URL, not a bare LLM_PROVIDER the overlay never reads (#975). - Reasoning/thinking knobs: settable via env; the prompt is skipped when set. - Effort gating: forward effort only to models that accept it (Anthropic Opus 4.5+/Sonnet 4.6+, OpenAI reasoning models); drop it elsewhere. - Boolean env values: raise a named error on invalid input instead of silently becoming False.
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
import re
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from typing import Any
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from langchain_anthropic import ChatAnthropic
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from .base_client import BaseLLMClient, normalize_content
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from .validators import validate_model
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_PASSTHROUGH_KWARGS = (
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"timeout", "max_retries", "api_key", "max_tokens", "temperature",
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"callbacks", "http_client", "http_async_client", "effort",
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)
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# Anthropic's extended-thinking ``effort`` parameter is accepted by Opus 4.5+
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# and Sonnet 4.6+ only. Sonnet 4.5 and any Haiku version 400 with
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# ``"This model does not support the effort parameter"`` (#831). The per-family
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# minimum version below is forward-compatible: future ``claude-{opus,sonnet}-X-Y``
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# releases inherit support automatically, while Sonnet 4.5 and Haiku stay excluded.
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_EFFORT_EXACT = {
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"claude-mythos-preview", # non-standard preview name; effort-capable
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}
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_EFFORT_MODEL = re.compile(r"^claude-(opus|sonnet)-(\d+)-(\d+)$")
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_EFFORT_MIN_VERSION = {"opus": (4, 5), "sonnet": (4, 6)}
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def _supports_effort(model: str) -> bool:
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"""Whether Anthropic accepts the ``effort`` parameter for this model."""
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model_lc = model.lower()
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if model_lc in _EFFORT_EXACT:
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return True
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match = _EFFORT_MODEL.match(model_lc)
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if not match:
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return False
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family, major, minor = match.group(1), int(match.group(2)), int(match.group(3))
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return (major, minor) >= _EFFORT_MIN_VERSION[family]
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class NormalizedChatAnthropic(ChatAnthropic):
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"""ChatAnthropic with normalized content output.
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Claude models with extended thinking or tool use return content as a
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list of typed blocks. This normalizes to string for consistent
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downstream handling.
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"""
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def invoke(self, input, config=None, **kwargs):
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return normalize_content(super().invoke(input, config, **kwargs))
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class AnthropicClient(BaseLLMClient):
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"""Client for Anthropic Claude models."""
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def __init__(self, model: str, base_url: str | None = None, **kwargs):
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super().__init__(model, base_url, **kwargs)
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def get_llm(self) -> Any:
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"""Return configured ChatAnthropic instance."""
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self.warn_if_unknown_model()
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llm_kwargs = {"model": self.model}
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if self.base_url:
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llm_kwargs["base_url"] = self.base_url
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for key in _PASSTHROUGH_KWARGS:
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if key not in self.kwargs:
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continue
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if key == "effort" and not _supports_effort(self.model):
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continue
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llm_kwargs[key] = self.kwargs[key]
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return NormalizedChatAnthropic(**llm_kwargs)
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def validate_model(self) -> bool:
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"""Validate model for Anthropic."""
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return validate_model("anthropic", self.model)
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