Yijia-Xiao cc39a35c42 feat(llm): let each model tier run on its own provider (#1440) ...

- quick_think_provider / deep_think_provider and their backend URLs (with TRADINGAGENTS_* variables) choose a tier's provider; unset, a tier uses llm_provider and backend_url
- a tier on another provider gets that provider's own settings and endpoint, and the run settings and report header name each tier's provider
- the CLI checks each tier provider's model variable and key before the run

2026-10-03 21:27:43 +00:00

..

static

chore(release): v0.1.0 – initial public release of TradingAgents

2025-06-05 04:27:57 -07:00

__init__.py

chore(release): v0.1.0 – initial public release of TradingAgents

2025-06-05 04:27:57 -07:00

announcements.py

feat(cli): run an analysis without questions from flags (#1127, #1133)

2026-09-24 20:42:51 +00:00

config.py

feat: add announcements panel fetching from api.tauric.ai/v1/announcements

2026-02-03 22:27:20 +00:00

display.py

feat(graph): run the analysts at the same time (#1255)

2026-09-25 06:35:54 +00:00

main.py

fix(cli): take the backtest's analysts as an analysis does

2026-09-29 05:57:18 +00:00

models.py

build: require Python 3.11 and pandas 3

2026-09-29 05:57:18 +00:00

prefs.py

refactor(cli): write the saved selections through the shared file writer

2026-09-29 05:57:18 +00:00

prompts.py

fix(cli): write the state log, and name the analysts as users know them

2026-09-29 05:57:17 +00:00

run.py

feat(graph): settle past decisions alongside the analysts (#1428)

2026-10-03 21:27:43 +00:00

selections.py

feat(llm): let each model tier run on its own provider (#1440)

2026-10-03 21:27:43 +00:00

stats_handler.py

chore(lint): make the repository ruff-clean under the strict select

2026-06-14 16:38:36 +00:00