mengyonghao fc15a7793a feat(workflow): add parameter extraction node ...

- Implemented ParameterExtractorNode to extract structured parameters from input text using LLM.
- Supports dynamic Jinja2 prompt rendering with field descriptions and types.
- Integrates with RedBearLLM and ModelConfigService for model retrieval.
- Handles JSON repair and raises clear BusinessException on parsing errors.

2025-12-26 14:39:17 +08:00

..

controllers

feat(tool system): Tool system reengineering

2025-12-25 17:30:20 +08:00

core

feat(workflow): add parameter extraction node

2025-12-26 14:39:17 +08:00

models

[add] migrations script

2025-12-25 17:51:27 +08:00

repositories

feat(tool system): Tool system reengineering

2025-12-25 17:30:20 +08:00

schemas

feat(tool system): Tool system reengineering

2025-12-25 17:30:20 +08:00

services

[fix]LLM formatted output

2025-12-25 18:21:00 +08:00

templates/workflows

fix(template): remove default initial model in templates

2025-12-24 12:12:11 +08:00

utils

[add] app api

2025-12-25 10:07:01 +08:00

aioRedis.py

feat: Add base project structure with API and web components

2025-12-02 20:28:01 +08:00

celery_app.py

Merge remote-tracking branch 'origin/develop' into refactor/memory-config-management

2025-12-23 17:30:09 +08:00

celery_worker.py

feat: Add base project structure with API and web components

2025-12-02 20:28:01 +08:00

db.py

feat(workflow): add parameter extraction node

2025-12-26 14:39:17 +08:00

dependencies.py

[add] app chat v1

2025-12-24 20:35:04 +08:00

main.py

[add] app chat v1

2025-12-24 20:35:04 +08:00

tasks.py

[ADD]Support parsing of unstructured data MP3, MP4, etc

2025-12-24 17:50:03 +08:00