Files
tradingagents/tradingagents/__init__.py
Yijia-Xiao d13e9b7946 feat(config): TRADINGAGENTS_* env-var overlay for DEFAULT_CONFIG
Adds a single _ENV_OVERRIDES table in default_config.py with type-aware
coercion (str/int/bool), so users can switch llm_provider, deep/quick
models, backend URL, output language, debate rounds, and the checkpoint
flag purely via .env. Centralizes load_dotenv in the package __init__
so the overlay applies for every entry point (CLI, main.py, programmatic).
Drops the hardcoded model assignments and duplicate dotenv loads in
main.py and cli/main.py. Verified live with OpenAI and Gemini.

#602
2026-05-11 06:12:31 +00:00

39 lines
1.6 KiB
Python

import warnings
# Load .env files at package import so DEFAULT_CONFIG's env-var overlay
# (and every llm_clients consumer) sees the user's keys regardless of
# which entry point started the process. find_dotenv(usecwd=True) walks
# from the CWD, so the installed `tradingagents` console script picks up
# the project's .env instead of stepping up from site-packages.
# load_dotenv defaults to override=False, so it never clobbers values
# the caller has already exported.
try:
from dotenv import find_dotenv, load_dotenv
load_dotenv(find_dotenv(usecwd=True))
load_dotenv(find_dotenv(".env.enterprise", usecwd=True), override=False)
except ImportError:
pass
# langchain-core 1.3.3 calls surface_langchain_deprecation_warnings() in
# its own __init__, which prepends default-action filters for its
# subclassed warning categories. To suppress a specific warning we must
# install our filter AFTER langchain-core has installed its own, so import
# it first. The package is a guaranteed transitive dep via langgraph.
try:
import langchain_core # noqa: F401
except ImportError:
pass
# langgraph-checkpoint 4.0.3 calls Reviver() at module load without an
# explicit allowed_objects, which triggers a noisy pending-deprecation
# warning from langchain-core 1.3.3 on every interpreter start. The fix
# is already merged upstream (langchain-ai/langgraph#7743, 2026-05-08)
# and will arrive in the next langgraph-checkpoint release. Remove this
# block (and the langchain_core preload above) when we bump past it.
warnings.filterwarnings(
"ignore",
message=r"The default value of `allowed_objects`.*",
category=PendingDeprecationWarning,
)