2026-03-06 15:32:13 +08:00
from langchain . tools import tool
refactor: split backend into harness (deerflow.*) and app (app.*) (#1131)
* refactor: extract shared utils to break harness→app cross-layer imports
Move _validate_skill_frontmatter to src/skills/validation.py and
CONVERTIBLE_EXTENSIONS + convert_file_to_markdown to src/utils/file_conversion.py.
This eliminates the two reverse dependencies from client.py (harness layer)
into gateway/routers/ (app layer), preparing for the harness/app package split.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: split backend/src into harness (deerflow.*) and app (app.*)
Physically split the monolithic backend/src/ package into two layers:
- **Harness** (`packages/harness/deerflow/`): publishable agent framework
package with import prefix `deerflow.*`. Contains agents, sandbox, tools,
models, MCP, skills, config, and all core infrastructure.
- **App** (`app/`): unpublished application code with import prefix `app.*`.
Contains gateway (FastAPI REST API) and channels (IM integrations).
Key changes:
- Move 13 harness modules to packages/harness/deerflow/ via git mv
- Move gateway + channels to app/ via git mv
- Rename all imports: src.* → deerflow.* (harness) / app.* (app layer)
- Set up uv workspace with deerflow-harness as workspace member
- Update langgraph.json, config.example.yaml, all scripts, Docker files
- Add build-system (hatchling) to harness pyproject.toml
- Add PYTHONPATH=. to gateway startup commands for app.* resolution
- Update ruff.toml with known-first-party for import sorting
- Update all documentation to reflect new directory structure
Boundary rule enforced: harness code never imports from app.
All 429 tests pass. Lint clean.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: add harness→app boundary check test and update docs
Add test_harness_boundary.py that scans all Python files in
packages/harness/deerflow/ and fails if any `from app.*` or
`import app.*` statement is found. This enforces the architectural
rule that the harness layer never depends on the app layer.
Update CLAUDE.md to document the harness/app split architecture,
import conventions, and the boundary enforcement test.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add config versioning with auto-upgrade on startup
When config.example.yaml schema changes, developers' local config.yaml
files can silently become outdated. This adds a config_version field and
auto-upgrade mechanism so breaking changes (like src.* → deerflow.*
renames) are applied automatically before services start.
- Add config_version: 1 to config.example.yaml
- Add startup version check warning in AppConfig.from_file()
- Add scripts/config-upgrade.sh with migration registry for value replacements
- Add `make config-upgrade` target
- Auto-run config-upgrade in serve.sh and start-daemon.sh before starting services
- Add config error hints in service failure messages
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix comments
* fix: update src.* import in test_sandbox_tools_security to deerflow.*
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: handle empty config and search parent dirs for config.example.yaml
Address Copilot review comments on PR #1131:
- Guard against yaml.safe_load() returning None for empty config files
- Search parent directories for config.example.yaml instead of only
looking next to config.yaml, fixing detection in common setups
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: correct skills root path depth and config_version type coercion
- loader.py: fix get_skills_root_path() to use 5 parent levels (was 3)
after harness split, file lives at packages/harness/deerflow/skills/
so parent×3 resolved to backend/packages/harness/ instead of backend/
- app_config.py: coerce config_version to int() before comparison in
_check_config_version() to prevent TypeError when YAML stores value
as string (e.g. config_version: "1")
- tests: add regression tests for both fixes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: update test imports from src.* to deerflow.*/app.* after harness refactor
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 22:55:52 +08:00
from deerflow . config import get_app_config
from deerflow . utils . readability import ReadabilityExtractor
2026-03-06 15:32:13 +08:00
from . infoquest_client import InfoQuestClient
readability_extractor = ReadabilityExtractor ( )
def _get_infoquest_client ( ) - > InfoQuestClient :
search_config = get_app_config ( ) . get_tool_config ( " web_search " )
search_time_range = - 1
if search_config is not None and " search_time_range " in search_config . model_extra :
search_time_range = search_config . model_extra . get ( " search_time_range " )
2026-03-23 17:06:56 +08:00
2026-03-06 15:32:13 +08:00
fetch_config = get_app_config ( ) . get_tool_config ( " web_fetch " )
fetch_time = - 1
if fetch_config is not None and " fetch_time " in fetch_config . model_extra :
fetch_time = fetch_config . model_extra . get ( " fetch_time " )
fetch_timeout = - 1
if fetch_config is not None and " timeout " in fetch_config . model_extra :
fetch_timeout = fetch_config . model_extra . get ( " timeout " )
navigation_timeout = - 1
if fetch_config is not None and " navigation_timeout " in fetch_config . model_extra :
navigation_timeout = fetch_config . model_extra . get ( " navigation_timeout " )
2026-03-23 17:06:56 +08:00
image_search_config = get_app_config ( ) . get_tool_config ( " image_search " )
image_search_time_range = - 1
if image_search_config is not None and " image_search_time_range " in image_search_config . model_extra :
image_search_time_range = image_search_config . model_extra . get ( " image_search_time_range " )
image_size = " i "
if image_search_config is not None and " image_size " in image_search_config . model_extra :
image_size = image_search_config . model_extra . get ( " image_size " )
2026-03-06 15:32:13 +08:00
return InfoQuestClient (
search_time_range = search_time_range ,
fetch_timeout = fetch_timeout ,
fetch_navigation_timeout = navigation_timeout ,
fetch_time = fetch_time ,
2026-03-23 17:06:56 +08:00
image_search_time_range = image_search_time_range ,
image_size = image_size ,
2026-03-06 15:32:13 +08:00
)
@tool ( " web_search " , parse_docstring = True )
def web_search_tool ( query : str ) - > str :
""" Search the web.
Args :
query : The query to search for .
"""
client = _get_infoquest_client ( )
return client . web_search ( query )
@tool ( " web_fetch " , parse_docstring = True )
def web_fetch_tool ( url : str ) - > str :
""" Fetch the contents of a web page at a given URL.
Only fetch EXACT URLs that have been provided directly by the user or have been returned in results from the web_search and web_fetch tools .
This tool can NOT access content that requires authentication , such as private Google Docs or pages behind login walls .
Do NOT add www . to URLs that do NOT have them .
URLs must include the schema : https : / / example . com is a valid URL while example . com is an invalid URL .
Args :
url : The URL to fetch the contents of .
"""
client = _get_infoquest_client ( )
result = client . fetch ( url )
if result . startswith ( " Error: " ) :
return result
article = readability_extractor . extract_article ( result )
return article . to_markdown ( ) [ : 4096 ]
2026-03-23 17:06:56 +08:00
@tool ( " image_search " , parse_docstring = True )
def image_search_tool ( query : str ) - > str :
""" Search for images online. Use this tool BEFORE image generation to find reference images for characters, portraits, objects, scenes, or any content requiring visual accuracy.
* * When to use : * *
- Before generating character / portrait images : search for similar poses , expressions , styles
- Before generating specific objects / products : search for accurate visual references
- Before generating scenes / locations : search for architectural or environmental references
- Before generating fashion / clothing : search for style and detail references
The returned image URLs can be used as reference images in image generation to significantly improve quality .
Args :
query : The query to search for images .
"""
client = _get_infoquest_client ( )
return client . image_search ( query )