Yijia-Xiao 895ed130f9 feat(llm): add Amazon Bedrock as a first-class provider ...

Bedrock uses the Converse API (langchain-aws) and the AWS credential chain, so
it has its own client like Anthropic/Google rather than the OpenAI-compatible
registry. langchain-aws is an optional dependency (pip install ".[bedrock]"),
lazy-imported with a clear install hint; importing the package never requires
it. The model name is a Bedrock model ID / inference profile ID.

2026-06-14 04:24:54 +00:00

..

static

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

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__init__.py

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

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

announcements.py

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

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

config.py

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

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

main.py

feat(llm): unify OpenAI-compatible providers behind a registry + generic endpoint

2026-06-14 03:22:24 +00:00

models.py

Merge remote-tracking branch 'upstream/main' into crypto-analysis-mvp

2026-05-11 16:41:09 +08:00

stats_handler.py

feat: add footer statistics tracking with LangChain callbacks

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

utils.py

feat(llm): add Amazon Bedrock as a first-class provider

2026-06-14 04:24:54 +00:00