## Summary epic r04 - begin refactor ## Change Type - [x] Cowork feature - [ ] Bug fix - [ ] Core AI contribution - [ ] Test / hardening - [ ] Performance - [ ] Documentation ## Related Work Cowork Task: Core Repo: http://34.143.229.138/gitea-admin/fsg-ai-core-assets Core AI Issue: Core Task: Related PR: ## Scope What is intentionally included? What is intentionally NOT included? ## Validation - [ ] Unit tests - [ ] Integration tests - [ ] Manual verification - [ ] Regression check Commands / evidence: ## Security Impact Permission / credential / network / customer data impact: ## Compatibility - [ ] No breaking change - [ ] Breaking change documented ## Reviewer Notes Anything Cowork reviewers should pay attention to. --------- Co-authored-by: Anh Tran Nguyen Minh <anhtnm1@fpt.com> Co-authored-by: Huong Le Thi Thien <huongltt35@fpt.com> Co-authored-by: Nam Pham Dinh Thanh <nampdt@fpt.com> Co-authored-by: Vu Dam Tuan <vudt15@fpt.com> Co-authored-by: Hiep Ha Van <hiephv3@fpt.com> Co-authored-by: Lam Hoang Van <lamhv7@fpt.com> Reviewed-on: #7 Co-authored-by: Duy Le Huu <duylh19@fpt.com>
This commit was merged in pull request #7.
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@@ -31,6 +31,7 @@ _CMD = re.compile(r"(?<!\S)/agent(?::([\w\-.]+))?(?=$|[\s.,;:!?)\]}»”’'\"
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def _slug(name: str) -> str:
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"""Định danh an toàn suy từ tên agent (dùng chung hàm với Co4E)."""
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from .co4e import slugify
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return slugify(name)
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@@ -45,6 +46,11 @@ def collect_agents(shared_dir: str = "") -> List[dict]:
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seen: set[str] = set()
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def _add(slug: str, name: str, desc: str, persona: str, source: str) -> None:
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"""Thêm một agent vào danh sách gộp; bỏ qua nếu trùng slug hoặc thiếu persona.
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Agent không có persona thì không dùng được — thêm vào chỉ làm bảng gợi ý dài
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ra mà chọn vào lại không chạy.
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"""
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if not slug or slug in seen or not persona.strip():
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return
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seen.add(slug)
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@@ -69,6 +75,7 @@ def collect_agents(shared_dir: str = "") -> List[dict]:
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def _persona_block(agent: dict) -> str:
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"""Khối prompt mô tả một agent, chèn vào đầu lượt chat khi người dùng gõ ``/agent:``."""
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return f"## Agent: {agent['name']}\n{agent['persona']}"
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