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feat: create example agent using LangGraph (#4)
Signed-off-by: Richard Gebhardt <[email protected]>
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‎.gitignore‎

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**/.env
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**/.venv
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**/.langgraph_api/

‎agent/.python-version‎

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3.13

‎agent/README.md‎

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# Agent
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## Getting started
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### Start Ollama and pull model
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```bash
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brew services start ollama
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ollama pull gpt-oss
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```
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### Install MCP servers
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### Authenticate
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```bash
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oci session authenticate --profile-name <profile name> --region <region name: us-sanjose-1>
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```
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### Start LangGraph API server
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```bash
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cd agent/app
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uv run langgraph dev --no-browser --allow-blocking
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```
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### Interact with the server using the client or API endpoint
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Client:
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```bash
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cd ..
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uv run client.py
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```
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cURL
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payload.json
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```json
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{
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"assistant_id": "agent",
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"input": {
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"messages": [
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{
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"role": "human",
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"content": "What is LangGraph?"
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}
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]
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},
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"context": {
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"model": "ollama:gpt-oss",
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"base_url": "http://localhost:11434"
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},
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"stream_mode": "messages-tuple"
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}
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```
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```bash
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curl -s --request POST \
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--url "http://localhost:2024/runs/stream" \
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--header 'Content-Type: application/json' \
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--data @payload.json
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```

‎agent/app/.gitignore‎

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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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uv.lock
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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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.langgraph_api

‎agent/app/LICENSE‎

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The Universal Permissive License (UPL), Version 1.0
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Subject to the condition set forth below, permission is hereby granted to any
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person obtaining a copy of this software, associated documentation and/or data
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(collectively the "Software"), free of charge and under any and all copyright
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rights in the Software, and any and all patent rights owned or freely
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licensable by each licensor hereunder covering either (i) the unmodified
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Software as contributed to or provided by such licensor, or (ii) the Larger
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Works (as defined below), to deal in both
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(a) the Software, and
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(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
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one is included with the Software (each a "Larger Work" to which the Software
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is contributed by such licensors),
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without restriction, including without limitation the rights to copy, create
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derivative works of, display, perform, and distribute the Software and make,
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use, sell, offer for sale, import, export, have made, and have sold the
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Software and the Larger Work(s), and to sublicense the foregoing rights on
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either these or other terms.
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This license is subject to the following condition:
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The above copyright notice and either this complete permission notice or at
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a minimum a reference to the UPL must be included in all copies or
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substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎agent/app/langgraph.json‎

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{
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"$schema": "https://langgra.ph/schema.json",
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"dependencies": ["."],
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"graphs": {
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"agent": "./src/react_agent/graph.py:graph"
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},
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"env": ".env"
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}

‎agent/app/mcp.json‎

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{
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"mcpServers": {
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"oracle-oci-api-mcp-server": {
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"command": "uvx",
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"args": [
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"oracle.oci-api-mcp-server"
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],
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"transport": "stdio"
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}
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}
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}

‎agent/app/pyproject.toml‎

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[project]
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name = "react-agent"
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version = "0.0.1"
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description = "Example agent"
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license = "UPL-1.0"
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requires-python = ">=3.11,<4.0"
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dependencies = [
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"langgraph>=0.6.6,<0.7.0",
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"langchain-openai>=0.1.22",
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"langchain-anthropic>=0.1.23",
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"langchain>=0.2.14",
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"langchain-fireworks>=0.1.7",
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"python-dotenv>=1.0.1",
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"langchain-tavily>=0.1",
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"langchain-ollama>=0.3.10",
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"langchain-mcp-adapters>=0.1.11",
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]
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[project.optional-dependencies]
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dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
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[dependency-groups]
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dev = [
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"langgraph-cli[inmem]>=0.1.71",
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"pytest>=8.3.5",
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]

‎agent/app/src/react_agent/__init__.py‎

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"""React Agent.
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This module defines a custom reasoning and action agent graph.
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It invokes tools in a simple loop.
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"""
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from react_agent.graph import graph
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__all__ = ["graph"]

‎agent/app/src/react_agent/context.py‎

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"""Define the configurable parameters for the agent."""
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from __future__ import annotations
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import os
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from dataclasses import dataclass, field, fields
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from typing import Annotated, Dict
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from . import prompts
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@dataclass(kw_only=True)
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class Context:
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"""The context for the agent."""
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system_prompt: str = field(
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default=prompts.SYSTEM_PROMPT,
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metadata={
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"description": "The system prompt to use for the agent's interactions. "
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"This prompt sets the context and behavior for the agent."
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},
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)
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model: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
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default="anthropic/claude-3-5-sonnet-20240620",
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metadata={
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"description": "The name of the language model to use for the agent's main interactions. "
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"Should be in the form: provider/model-name."
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},
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)
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model_args: Dict[str, str] = field(default_factory=dict)
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base_url: str = field(
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default="http://localhost:11434",
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metadata={"description": "URL to a modelserver, like Ollama"},
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)
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max_search_results: int = field(
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default=10,
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metadata={
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"description": "The maximum number of search results to return for each search query."
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},
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)
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def __post_init__(self) -> None:
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"""Fetch env vars for attributes that were not passed as args."""
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for f in fields(self):
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if not f.init:
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continue
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if getattr(self, f.name) == f.default:
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setattr(self, f.name, os.environ.get(f.name.upper(), f.default))

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