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Combine agno examples
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‎typescript-sdk/apps/dojo/scripts/prep-dojo-everything.js‎

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@@ -45,7 +45,7 @@ const serverStarterAllFeatures = {
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// Agno
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const agno = {
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command: 'uv venv --allow-existing && uv pip install -r requirements.txt',
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command: 'uv sync',
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name: 'Agno',
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cwd: path.join(integrationsRoot, 'agno/examples'),
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}

‎typescript-sdk/apps/dojo/scripts/run-dojo-everything.js‎

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@@ -45,7 +45,7 @@ const serverStarterAllFeatures = {
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// Agno
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const agno = {
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command: 'uv run agent.py',
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command: 'uv run dev',
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name: 'Agno',
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cwd: path.join(integrationsRoot, 'agno/examples'),
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env: {PORT: 8002},

‎typescript-sdk/apps/dojo/src/agents.ts‎

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@@ -174,10 +174,10 @@ export const agentsIntegrations: AgentIntegrationConfig[] = [
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agents: async () => {
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return {
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agentic_chat: new AgnoAgent({
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url: `${envVars.agnoUrl}/agui`,
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url: `${envVars.agnoUrl}/agentic_chat/agui`,
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}),
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tool_based_generative_ui: new AgnoAgent({
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url: "http://localhost:8000/agui",
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url: `${envVars.agnoUrl}/tool_based_generative_ui/agui`,
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}),
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};
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},

‎typescript-sdk/integrations/agno/examples/.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[codz]
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*$py.class
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# C extensions
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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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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nosetests.xml
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coverage.xml
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*.cover
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*.py,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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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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ipython_config.py
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# pyenv
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.python-version
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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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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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# UV
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# Similar to Pipfile.lock, it is generally recommended to include uv.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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#uv.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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#poetry.toml
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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 recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
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# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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#pdm.lock
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#pdm.toml
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.pdm-python
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.pdm-build/
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# pixi
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# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
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#pixi.lock
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# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
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# in the .venv directory. It is recommended not to include this directory in version control.
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.pixi
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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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# Environments
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.env
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.envrc
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.venv
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env/
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venv/
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# Pyre type checker
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.pyre/
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# IDEs
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS generated files
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Poetry
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poetry.lock
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# UV
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uv.lock
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# LangGraph API
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.langgraph_api
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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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# Abstra
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# Abstra is an AI-powered process automation framework.
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# Ignore directories containing user credentials, local state, and settings.
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# Learn more at https://abstra.io/docs
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.abstra/
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# Visual Studio Code
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# you could uncomment the following to ignore the entire vscode folder
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# .vscode/
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# Ruff stuff:
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.ruff_cache/
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# PyPI configuration file
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.pypirc
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# Marimo
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marimo/_static/
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marimo/_lsp/
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__marimo__/
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# Streamlit
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.streamlit/secrets.toml

‎typescript-sdk/integrations/agno/examples/README.md‎

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Extracted from with-agno
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# Agno Finance Agent
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To install deps
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pip install -r requirements.txt
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An Agno Agent with Finance tools for AG-UI that researches stock prices, analyst recommendations, and stock fundamentals.
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to run
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python agent.py
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## Setup
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This project uses [uv](https://github.com/astral-sh/uv) for dependency management.
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### Prerequisites
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1. Install uv: `pip install uv`
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2. Set your OpenAI API key: `export OPENAI_API_KEY="your-api-key"`
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### Installation
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```bash
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# Install dependencies
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uv sync
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# Activate the virtual environment
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uv shell
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```
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### Running the Agent
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```bash
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# Run the agent
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uv run python agent.py
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```
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The agent will be available at `http://localhost:9001` (or the port specified by the `PORT` environment variable).
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## Development
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```bash
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# Install development dependencies
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uv sync --extra dev
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# Run tests
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uv run pytest
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# Format code
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uv run black .
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uv run isort .
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# Lint code
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uv run flake8 .
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```
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## Features
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- Stock price lookup
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- Analyst recommendations
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- Stock fundamentals analysis
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- AG-UI compatible interface

‎typescript-sdk/integrations/agno/examples/pyproject.toml‎

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[tool.poetry]
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name = "examples"
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version = "0.1.0"
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description = ""
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authors = ["Markus Ecker <[email protected]>"]
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readme = "README.md"
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tool.uv.package = true
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[tool.poetry.dependencies]
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python = "^3.12"
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agno = "^1.7.7"
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openai = "^1.97.0"
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ag-ui-protocol = "^0.1.8"
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fastapi = "^0.116.1"
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uvicorn = "^0.35.0"
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[project]
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name = "server"
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version = "0.1.0"
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description = "Example usage of the AG-UI adapter for Agno"
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license = "MIT"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"agno>=1.7.7",
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"openai>=1.99.1",
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"yfinance>=0.2.63",
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"fastapi>=0.116.1",
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"uvicorn>=0.35.0",
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"ag-ui-protocol>=0.1.8",
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]
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authors = [
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{name = "AG-UI Team"}
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]
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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[tool.poetry.scripts]
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dev = "examples:main"
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[project.scripts]
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dev = "server:main"

‎typescript-sdk/integrations/agno/examples/server/__init__.py‎

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"""Example usage of the AG-UI adapter for Agno.
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This provides a FastAPI application that demonstrates how to use the
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Agno agent with the AG-UI protocol. It includes examples for
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AG-UI dojo features:
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- Agentic Chat (Investment Analyst with Finance tools)
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"""
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from __future__ import annotations
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from fastapi import FastAPI
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import uvicorn
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import os
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from .api import (
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agentic_chat_app,
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tool_based_generative_ui_app,
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)
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app = FastAPI(title='Agno AG-UI server')
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app.mount('/agentic_chat', agentic_chat_app, 'Agentic Chat')
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app.mount('/tool_based_generative_ui', tool_based_generative_ui_app, 'Tool-based Generative UI')
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def main():
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"""Main function to start the FastAPI server."""
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port = int(os.getenv("PORT", "9001"))
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uvicorn.run(app, host="0.0.0.0", port=port)
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if __name__ == "__main__":
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main()
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__all__ = ["main"]

‎typescript-sdk/integrations/agno/examples/server/api/__init__.py‎

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"""Example API for a AG-UI compatible Agno Agent UI."""
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from __future__ import annotations
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from .agentic_chat import app as agentic_chat_app
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from .tool_based_generative_ui import app as tool_based_generative_ui_app
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__all__ = [
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'agentic_chat_app',
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'tool_based_generative_ui_app',
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]

‎typescript-sdk/integrations/agno/examples/agent.py‎ renamed to ‎typescript-sdk/integrations/agno/examples/server/api/agentic_chat.py‎

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This example shows how to create an Agno Agent with tools (YFinanceTools) and expose it in an AG-UI compatible way.
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"""
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import os
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from agno.agent.agent import Agent
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from agno.app.agui.app import AGUIApp
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from agno.models.openai import OpenAIChat
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agui_app = AGUIApp(
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agent=agent,
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name="Investment Analyst",
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app_id="investment_analyst",
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app_id="agentic_chat",
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description="An investment analyst that researches stock prices, analyst recommendations, and stock fundamentals.",
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)
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app = agui_app.get_app()
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if __name__ == "__main__":
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port = int(os.getenv("PORT", "9001"))
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agui_app.serve(app="agent:app", host="0.0.0.0", port=port, reload=True)
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app = agui_app.get_app()

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