Persist manual requests until exchange confirmation, preserve stop protection, and reconcile fills before settling plans. Tighten model stream, crawler, skill, research accounting, and frontend race handling, with regression coverage. Keep queued analyses pending until a fresh account snapshot is available.
The analyst prompts the model with trading rules, published skills,
account sizing inputs and prefetched market data, exposes read-only
tools plus submit_trade_plan, and validates and sizes the submitted plan
in pure functions covered by pytest. Manual analyses run as dry runs
while trading is stopped; the trading page shows the latest plan and an
analysis detail drawer.
- Providers get a default reasoning effort (low..max, empty = not sent);
chat can override it per message. OpenAI sends reasoning_effort,
Claude sends output_config.effort with adaptive thinking, and thinking
blocks are replayed during the tool loop.
- Show a thinking indicator while waiting for model output.
- Surface in-stream upstream errors (e.g. overloaded) instead of
breaking the SSE stream, and retry them up to 3 times when nothing
has been emitted yet.
- Model providers for OpenAI and Anthropic message formats (e.g. via
Sub2API), with API keys encrypted at rest and never returned
- Skills tree with markdown editing, priorities, drafts, publishing and
rollback; only published skills enter the chat prompt
- Chat page with tool calls over collected news and Binance USD-M
klines, a persisted CONTEXT.md, reset, and stop-generation support
- Chat may only create skill drafts and update CONTEXT.md; publishing,
deleting, moving and priority changes stay with the user
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