Yijia-Xiao 8a22594607 feat(config): expose sampling temperature and document reproducibility ...

Adds a cross-provider temperature config (and TRADINGAGENTS_TEMPERATURE),
forwarded to every LLM client when set, so runs can be made less variable
on models that honor it. Adds a README "Reproducibility" section that
separates the sources of run-to-run variation, what users can control
(temperature, non-reasoning model, pinned date), and what is inherent to
LLM-driven analysis, and notes that the identity and verified-data fixes
already removed the "different companies / fabricated prices" variance.

#178 #168

2026-05-31 03:51:50 +00:00

..

agents

feat(market): verified market-data snapshot to ground numeric claims

2026-05-31 01:58:32 +00:00

dataflows

feat(market): verified market-data snapshot to ground numeric claims

2026-05-31 01:58:32 +00:00

graph

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00

llm_clients

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00

__init__.py

feat(config): TRADINGAGENTS_* env-var overlay for DEFAULT_CONFIG

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

default_config.py

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00