PTSRaiAgent

150 Commits 20 Branches 0 Tags

3 Commits

Include renames

Author	SHA1	Message	Date
ElebobaandClaude Opus 5.5	e72378f178	fix(bot): agent polish — instant small talk, capped tool calls, analogues, plain text, definitions allowed CI / ruff · pytest (pull_request) Successful in 2m43s Details - Greetings / chit-chat answered without the LLM (instant, free, no medical findings dumped into «привет»). - At most 4 tool calls per turn (one «как дела?» turn fired 23 parallel searches). - «My drug» is never asked back; analogues → the drug's group, replacement only by the doctor. - Markdown stripped to plain text with «•»; no sources footer under short replies. - Diagnosis filter no longer blocks definitions («ПТСР — это расстройство…»); diagnosis-like statements about the patient are still blocked. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-04 22:43:18 +03:00
ElebobaandClaude Opus 5.5	b4731fb1d6	chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules CI / ruff · pytest (pull_request) Successful in 22s Details Freeze interfaces between lanes A (bot), B (backend), C (dashboard) so three developers work in parallel without touching each other's files: dialog Event/Reply + engine registry with echo stub, integration protocols with in-memory defaults, MonitoringService with noop stub, /api/v1 schemas with fixture-backed routes, frozen main.py wiring, config/modules.yaml + due_scales(), DAR-5, tzdata, Andrey trajectory, lanes in WORKFLOW, ADR-010. Refs #34 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-03 15:22:25 +03:00
ElebobaandClaude Opus 5.5	924a51c483	feat(bot): LLM gateway with GigaChat and offline mock providers CI / ruff · pytest (pull_request) Successful in 23s Details Single entry point app/llm/gateway.py: extract_item, extract_checkin, risk_classify, phrase, summarize_for_doctor. Two-level design: LLMProvider (transport, GigaChat) and LLMTasks (PromptedTasks over a provider, or rule-based MockTasks). Shared policy in the gateway: assert_scrubbed backstop, confidence threshold 0.5, risk failure -> NONE, forbidden-output filter with config/texts/phrases.yaml fallbacks. Refs #7 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-03 15:00:41 +03:00

Author

SHA1

Message

Date

ElebobaandClaude Opus 5.5

e72378f178

fix(bot): agent polish — instant small talk, capped tool calls, analogues, plain text, definitions allowed

CI / ruff · pytest (pull_request) Successful in 2m43s

Details

- Greetings / chit-chat answered without the LLM (instant, free, no medical findings dumped into «привет»).
- At most 4 tool calls per turn (one «как дела?» turn fired 23 parallel searches).
- «My drug» is never asked back; analogues → the drug's group, replacement only by the doctor.
- Markdown stripped to plain text with «•»; no sources footer under short replies.
- Diagnosis filter no longer blocks definitions («ПТСР — это расстройство…»); diagnosis-like statements about
  the patient are still blocked.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

2026-10-04 22:43:18 +03:00

ElebobaandClaude Opus 5.5

b4731fb1d6

chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules

CI / ruff · pytest (pull_request) Successful in 22s

Details

Freeze interfaces between lanes A (bot), B (backend), C (dashboard) so three developers work in
parallel without touching each other's files: dialog Event/Reply + engine registry with echo stub,
integration protocols with in-memory defaults, MonitoringService with noop stub, /api/v1 schemas
with fixture-backed routes, frozen main.py wiring, config/modules.yaml + due_scales(), DAR-5,
tzdata, Andrey trajectory, lanes in WORKFLOW, ADR-010.

Refs #34

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

2026-10-03 15:22:25 +03:00

ElebobaandClaude Opus 5.5

924a51c483

feat(bot): LLM gateway with GigaChat and offline mock providers

CI / ruff · pytest (pull_request) Successful in 23s

Details

Single entry point app/llm/gateway.py: extract_item, extract_checkin,
risk_classify, phrase, summarize_for_doctor. Two-level design:
LLMProvider (transport, GigaChat) and LLMTasks (PromptedTasks over a
provider, or rule-based MockTasks). Shared policy in the gateway:
assert_scrubbed backstop, confidence threshold 0.5, risk failure -> NONE,
forbidden-output filter with config/texts/phrases.yaml fallbacks.

Refs #7

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

2026-10-03 15:00:41 +03:00