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Merge pull request #342 from desi003/update-agentql-examples
Update AgentQL examples
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#AGENTOPS_API_KEY=...
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#OPENAI_API_KEY=...
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# Tools
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AGENTQL_API_KEY=...
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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.agentops/
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agentstack.log
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.agentstack*
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MIT License
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Copyright (c) 2025 Name <Email>
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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# market_monitoring
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Tracks competitor websites for pricing and product updates.
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## How to Build this Project
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### With the CLI
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```bash
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agentstack init market_monitoring
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agentstack generate agent web_scraper
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agentstack generate task scrape_site
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agentstack generate agent market_reporter
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agentstack generate task report
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agentstack tools add agentql
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```
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Add more agents with `agentstack agent <agent_name>` and more tasks with `agentstack task <task_name>`
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Add tools with `agentstack tools add <tool_name>` and view tools available with `agentstack tools list`
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## How to use your Agent
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In this directory, run `uv pip install --requirements pyproject.toml`
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To run your project, use the following command:
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`agentstack run`
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This will initialize your crew of AI agents and begin task execution as defined in your configuration in the main.py file.
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#### Replay Tasks from Latest Crew Kickoff:
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CrewAI now includes a replay feature that allows you to list the tasks from the last run and replay from a specific one. To use this feature, run:
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`crewai replay <task_id>`
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Replace <task_id> with the ID of the task you want to replay.
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#### Reset Crew Memory
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If you need to reset the memory of your crew before running it again, you can do so by calling the reset memory feature:
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`crewai reset-memory`
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This will clear the crew's memory, allowing for a fresh start.
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> 🪩 Project built with [AgentStack](https://github.com/AgentOps-AI/AgentStack)
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{
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"framework": "crewai",
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"tools": [
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"agentql"
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],
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"default_model": "openai/gpt-4o",
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"agentstack_version": "0.3.5",
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"template": "market_monitoring",
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"template_version": "4",
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"use_git": false
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}
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[project]
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name = "market_monitoring"
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version = "0.0.1"
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description = ""
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authors = [
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{ name = "Name <Email>" }
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]
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license = { text = "MIT" }
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requires-python = ">=3.10"
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dependencies = [
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"agentstack[crewai]>=0.3.5",
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]

examples/market_monitoring/src/__init__.py

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web_scraper:
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role: >-
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web scraper
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goal: >-
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Access the website and extract all relevant information about the product in a structured format.
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backstory: >-
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You are an expert web scraper and data extractor.
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llm: openai/gpt-4o
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market_reporter:
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role: >-
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market monitoring reporter
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goal: >-
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Track competitor websites for pricing and product updates, delivering insights into the dashboard.
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backstory: >-
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You are an expert in reporting and tracking competitor's websites.
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llm: openai/gpt-4o
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scrape_site:
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description: >-
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Extract all the data about each electronic product from the following URL links:
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https://www.amazon.com/gp/browse.html?rw_useCurrentProtocol=1&node=565108&ref_=amb_link_BpW_pJfGS-SH8sCy2LOykw_2
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https://www.bestbuy.com/site/computers-pcs/laptop-computers/abcat0502000.c?id=abcat0502000
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expected_output: >-
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A json file.
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agent: >-
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web_scraper
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report:
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description: >-
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Compare products and their prices between the competitor websites and give a report on their performances.
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expected_output: >-
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A few paragraphs about the market products.
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agent: >-
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market_reporter

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