From 637c0fc9a1a0e3c780fbf114af25724f7fa5f6b1 Mon Sep 17 00:00:00 2001 From: Kai Wedekind Date: Fri, 1 Aug 2025 13:03:24 +0200 Subject: [PATCH 1/2] feat: ACP agents example Signed-off-by: Kai Wedekind --- acp-agents/.env.example | 12 + acp-agents/.gitignore | 278 ++ acp-agents/Makefile | 57 + acp-agents/README.md | 223 + .../agents/budget_planner_agent/.dockerignore | 33 + .../agents/budget_planner_agent/.env.example | 12 + .../agents/budget_planner_agent/.gitignore | 13 + .../agents/budget_planner_agent/Dockerfile | 57 + .../agents/budget_planner_agent/README.md | 9 + .../agents/budget_planner_agent/agents.py | 30 + .../budget_planner_agent/frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + .../agents/budget_planner_agent/main.py | 96 + .../budget_planner_agent/pyproject.toml | 17 + .../agents/budget_planner_agent/ruff.toml | 76 + .../agents/budget_planner_agent/tasks.py | 76 + .../agents/budget_planner_agent/tools.py | 25 + .../agents/budget_planner_agent/utils.py | 15 + .../agents/budget_planner_agent/uv.lock | 3770 +++++++++++++++ .../agents/city_expert_agent/.dockerignore | 33 + .../agents/city_expert_agent/.env.example | 12 + .../agents/city_expert_agent/.gitignore | 13 + .../agents/city_expert_agent/Dockerfile | 57 + acp-agents/agents/city_expert_agent/README.md | 9 + acp-agents/agents/city_expert_agent/agents.py | 30 + .../city_expert_agent/frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + acp-agents/agents/city_expert_agent/main.py | 88 + .../agents/city_expert_agent/pyproject.toml | 16 + acp-agents/agents/city_expert_agent/ruff.toml | 76 + acp-agents/agents/city_expert_agent/tasks.py | 53 + acp-agents/agents/city_expert_agent/tools.py | 25 + acp-agents/agents/city_expert_agent/utils.py | 15 + acp-agents/agents/city_expert_agent/uv.lock | 3696 +++++++++++++++ .../agents/city_selection_agent/.dockerignore | 33 + .../agents/city_selection_agent/.env.example | 12 + .../agents/city_selection_agent/.gitignore | 13 + .../agents/city_selection_agent/Dockerfile | 57 + .../agents/city_selection_agent/README.md | 9 + .../agents/city_selection_agent/agents.py | 43 + .../city_selection_agent/classes/task.py | 53 + .../city_selection_agent/frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + .../agents/city_selection_agent/main.py | 127 + .../city_selection_agent/pyproject.toml | 17 + .../agents/city_selection_agent/ruff.toml | 76 + .../agents/city_selection_agent/schemas.py | 15 + .../agents/city_selection_agent/tasks.py | 104 + .../agents/city_selection_agent/tools.py | 25 + .../agents/city_selection_agent/utils.py | 15 + .../agents/city_selection_agent/uv.lock | 4004 ++++++++++++++++ .../agents/flight_planner_agent/.dockerignore | 33 + .../agents/flight_planner_agent/.env.example | 12 + .../agents/flight_planner_agent/.gitignore | 13 + .../agents/flight_planner_agent/Dockerfile | 57 + .../agents/flight_planner_agent/README.md | 9 + .../agents/flight_planner_agent/agents.py | 30 + .../flight_planner_agent/frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + .../agents/flight_planner_agent/main.py | 92 + .../flight_planner_agent/pyproject.toml | 17 + .../agents/flight_planner_agent/ruff.toml | 76 + .../agents/flight_planner_agent/tasks.py | 47 + .../agents/flight_planner_agent/tools.py | 25 + .../agents/flight_planner_agent/utils.py | 15 + .../agents/flight_planner_agent/uv.lock | 3770 +++++++++++++++ .../agents/hotel_planner_agent/.dockerignore | 33 + .../agents/hotel_planner_agent/.env.example | 12 + .../agents/hotel_planner_agent/.gitignore | 13 + .../agents/hotel_planner_agent/Dockerfile | 57 + .../agents/hotel_planner_agent/README.md | 9 + .../agents/hotel_planner_agent/agents.py | 30 + .../hotel_planner_agent/frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + acp-agents/agents/hotel_planner_agent/main.py | 91 + .../agents/hotel_planner_agent/pyproject.toml | 17 + .../agents/hotel_planner_agent/ruff.toml | 76 + .../agents/hotel_planner_agent/tasks.py | 44 + .../agents/hotel_planner_agent/tools.py | 25 + .../agents/hotel_planner_agent/utils.py | 15 + acp-agents/agents/hotel_planner_agent/uv.lock | 3770 +++++++++++++++ .../itinerary_planner_agent/.dockerignore | 33 + .../itinerary_planner_agent/.env.example | 12 + .../agents/itinerary_planner_agent/.gitignore | 13 + .../agents/itinerary_planner_agent/Dockerfile | 57 + .../agents/itinerary_planner_agent/README.md | 9 + .../agents/itinerary_planner_agent/agents.py | 30 + .../frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + .../agents/itinerary_planner_agent/main.py | 88 + .../itinerary_planner_agent/pyproject.toml | 16 + .../agents/itinerary_planner_agent/ruff.toml | 76 + .../agents/itinerary_planner_agent/tasks.py | 68 + .../agents/itinerary_planner_agent/tools.py | 25 + .../agents/itinerary_planner_agent/utils.py | 15 + .../agents/itinerary_planner_agent/uv.lock | 3696 +++++++++++++++ .../travel_concierge_agent/.dockerignore | 33 + .../travel_concierge_agent/.env.example | 30 + .../agents/travel_concierge_agent/.gitignore | 13 + .../agents/travel_concierge_agent/Dockerfile | 49 + .../agents/travel_concierge_agent/README.md | 9 + .../travel_concierge_agent/classes/task.py | 58 + .../frontend/__init__.py | 0 .../frontend/landing_page.py | 57 + .../agents/travel_concierge_agent/main.py | 194 + .../travel_concierge_agent/pyproject.toml | 17 + .../agents/travel_concierge_agent/ruff.toml | 76 + .../agents/travel_concierge_agent/schemas.py | 61 + .../sub_agents/__init__.py | 0 .../sub_agents/extract_agent.py | 76 + .../tasks/extract_travel_budget.py | 18 + .../tasks/extract_travel_destinations.py | 18 + .../tasks/extract_travel_origin.py | 18 + .../tasks/extract_travel_period.py | 20 + .../tasks/extract_traveler_interests.py | 19 + .../tasks/extract_traveler_preferences.py | 19 + .../agents/travel_concierge_agent/utils.py | 182 + .../agents/travel_concierge_agent/uv.lock | 4004 ++++++++++++++++ acp-agents/assets/ACP_CE_dark.svg | 69 + acp-agents/assets/ACP_CE_light.svg | 34 + acp-agents/assets/architecture.png | Bin 0 -> 259104 bytes acp-agents/clients/budget-planner-agent.py | 48 + acp-agents/clients/city-expert-agent.py | 40 + acp-agents/clients/city-selection-agent.py | 53 + acp-agents/clients/flight-planner-agent.py | 56 + acp-agents/clients/hotel-planner-agent.py | 52 + acp-agents/clients/itinerary-planner-agent.py | 141 + acp-agents/clients/travel-concierge-agent.py | 31 + acp-agents/container-compose.yml | 126 + acp-agents/pyproject.toml | 15 + acp-agents/ruff.toml | 76 + acp-agents/scripts/deploy.sh | 59 + acp-agents/scripts/undeploy.sh | 4 + acp-agents/ui/chat/.env.example | 1 + acp-agents/ui/chat/Dockerfile | 49 + acp-agents/ui/chat/README.md | 6 + acp-agents/ui/chat/config.json | 4 + acp-agents/ui/chat/main.py | 17 + acp-agents/ui/chat/public/icons/favicon.svg | 1 + .../public/icons/ibm-cloud--code-engine.svg | 6 + acp-agents/ui/chat/pyproject.toml | 13 + acp-agents/ui/chat/utils/core/__init__.py | 1 + acp-agents/ui/chat/utils/core/chat.py | 77 + acp-agents/ui/chat/utils/core/config.py | 47 + acp-agents/ui/chat/utils/design/layout.py | 5 + acp-agents/ui/chat/utils/styles/css.py | 310 ++ acp-agents/ui/chat/uv.lock | 1515 ++++++ acp-agents/uv.lock | 4223 +++++++++++++++++ 148 files changed, 38443 insertions(+) create mode 100644 acp-agents/.env.example create mode 100644 acp-agents/.gitignore create mode 100644 acp-agents/Makefile create mode 100644 acp-agents/README.md create mode 100644 acp-agents/agents/budget_planner_agent/.dockerignore create mode 100644 acp-agents/agents/budget_planner_agent/.env.example create mode 100644 acp-agents/agents/budget_planner_agent/.gitignore create mode 100644 acp-agents/agents/budget_planner_agent/Dockerfile create mode 100644 acp-agents/agents/budget_planner_agent/README.md create mode 100644 acp-agents/agents/budget_planner_agent/agents.py create mode 100644 acp-agents/agents/budget_planner_agent/frontend/__init__.py create mode 100644 acp-agents/agents/budget_planner_agent/frontend/landing_page.py create mode 100644 acp-agents/agents/budget_planner_agent/main.py create mode 100644 acp-agents/agents/budget_planner_agent/pyproject.toml create mode 100644 acp-agents/agents/budget_planner_agent/ruff.toml create mode 100644 acp-agents/agents/budget_planner_agent/tasks.py create mode 100644 acp-agents/agents/budget_planner_agent/tools.py create mode 100644 acp-agents/agents/budget_planner_agent/utils.py create mode 100644 acp-agents/agents/budget_planner_agent/uv.lock create mode 100644 acp-agents/agents/city_expert_agent/.dockerignore create mode 100644 acp-agents/agents/city_expert_agent/.env.example create mode 100644 acp-agents/agents/city_expert_agent/.gitignore create mode 100644 acp-agents/agents/city_expert_agent/Dockerfile create mode 100644 acp-agents/agents/city_expert_agent/README.md create mode 100644 acp-agents/agents/city_expert_agent/agents.py create mode 100644 acp-agents/agents/city_expert_agent/frontend/__init__.py create mode 100644 acp-agents/agents/city_expert_agent/frontend/landing_page.py create mode 100644 acp-agents/agents/city_expert_agent/main.py create mode 100644 acp-agents/agents/city_expert_agent/pyproject.toml create mode 100644 acp-agents/agents/city_expert_agent/ruff.toml create mode 100644 acp-agents/agents/city_expert_agent/tasks.py create mode 100644 acp-agents/agents/city_expert_agent/tools.py create mode 100644 acp-agents/agents/city_expert_agent/utils.py create mode 100644 acp-agents/agents/city_expert_agent/uv.lock create mode 100644 acp-agents/agents/city_selection_agent/.dockerignore create mode 100644 acp-agents/agents/city_selection_agent/.env.example create mode 100644 acp-agents/agents/city_selection_agent/.gitignore create mode 100644 acp-agents/agents/city_selection_agent/Dockerfile create mode 100644 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acp-agents/agents/itinerary_planner_agent/tools.py create mode 100644 acp-agents/agents/itinerary_planner_agent/utils.py create mode 100644 acp-agents/agents/itinerary_planner_agent/uv.lock create mode 100644 acp-agents/agents/travel_concierge_agent/.dockerignore create mode 100644 acp-agents/agents/travel_concierge_agent/.env.example create mode 100644 acp-agents/agents/travel_concierge_agent/.gitignore create mode 100644 acp-agents/agents/travel_concierge_agent/Dockerfile create mode 100644 acp-agents/agents/travel_concierge_agent/README.md create mode 100644 acp-agents/agents/travel_concierge_agent/classes/task.py create mode 100644 acp-agents/agents/travel_concierge_agent/frontend/__init__.py create mode 100644 acp-agents/agents/travel_concierge_agent/frontend/landing_page.py create mode 100644 acp-agents/agents/travel_concierge_agent/main.py create mode 100644 acp-agents/agents/travel_concierge_agent/pyproject.toml create mode 100644 acp-agents/agents/travel_concierge_agent/ruff.toml create mode 100644 acp-agents/agents/travel_concierge_agent/schemas.py create mode 100644 acp-agents/agents/travel_concierge_agent/sub_agents/__init__.py create mode 100644 acp-agents/agents/travel_concierge_agent/sub_agents/extract_agent.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_travel_budget.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_travel_destinations.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_travel_origin.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_travel_period.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_interests.py create mode 100644 acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_preferences.py create mode 100644 acp-agents/agents/travel_concierge_agent/utils.py create mode 100644 acp-agents/agents/travel_concierge_agent/uv.lock create mode 100644 acp-agents/assets/ACP_CE_dark.svg create mode 100644 acp-agents/assets/ACP_CE_light.svg create mode 100644 acp-agents/assets/architecture.png create mode 100644 acp-agents/clients/budget-planner-agent.py create mode 100644 acp-agents/clients/city-expert-agent.py create mode 100644 acp-agents/clients/city-selection-agent.py create mode 100644 acp-agents/clients/flight-planner-agent.py create mode 100644 acp-agents/clients/hotel-planner-agent.py create mode 100644 acp-agents/clients/itinerary-planner-agent.py create mode 100644 acp-agents/clients/travel-concierge-agent.py create mode 100644 acp-agents/container-compose.yml create mode 100644 acp-agents/pyproject.toml create mode 100644 acp-agents/ruff.toml create mode 100644 acp-agents/scripts/deploy.sh create mode 100644 acp-agents/scripts/undeploy.sh create mode 100644 acp-agents/ui/chat/.env.example create mode 100644 acp-agents/ui/chat/Dockerfile create mode 100644 acp-agents/ui/chat/README.md create mode 100644 acp-agents/ui/chat/config.json create mode 100644 acp-agents/ui/chat/main.py create mode 100644 acp-agents/ui/chat/public/icons/favicon.svg create mode 100644 acp-agents/ui/chat/public/icons/ibm-cloud--code-engine.svg create mode 100644 acp-agents/ui/chat/pyproject.toml create mode 100644 acp-agents/ui/chat/utils/core/__init__.py create mode 100644 acp-agents/ui/chat/utils/core/chat.py create mode 100644 acp-agents/ui/chat/utils/core/config.py create mode 100644 acp-agents/ui/chat/utils/design/layout.py create mode 100644 acp-agents/ui/chat/utils/styles/css.py create mode 100644 acp-agents/ui/chat/uv.lock create mode 100644 acp-agents/uv.lock diff --git a/acp-agents/.env.example b/acp-agents/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/.gitignore b/acp-agents/.gitignore new file mode 100644 index 000000000..8f50513f0 --- /dev/null +++ b/acp-agents/.gitignore @@ -0,0 +1,278 @@ +# This is to avoid Opencommit hook from getting pushed +prepare-commit-msg +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* +qdrant_storage + +.dspy_cache +# Mac +.DS_Store + +# VSCode +.vscode/settings.json +.chroma +.ruff_cache + +# PyCharm +.idea/ + +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover +lib-cov + +# Coverage directory used by tools like istanbul +coverage +*.lcov + +# nyc test coverage +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) +.grunt + +# Bower dependency directory (https://bower.io/) +bower_components + +# node-waf configuration +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) +build/Release + +# Dependency directories +node_modules/ +jspm_packages/ + +# TypeScript v1 declaration files +typings/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Microbundle cache +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variables file +.env +.env.test + +# parcel-bundler cache (https://parceljs.org/) +.cache + +# Next.js build output +.next + +# Nuxt.js build / generate output +.nuxt +dist + +# Gatsby files +.cache/ +# Comment in the public line in if your project uses Gatsby and *not* Next.js +# https://nextjs.org/blog/next-9-1#public-directory-support +# public + +# vuepress build output +.vuepress/dist + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# TernJS port file +.tern-port +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +.testmondata* + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal +*.db-shm +*.db-wal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Poetry +.testenv/* +langflow.db + + +.githooks/prepare-commit-msg +.langchain.db + +# docusaurus +.docusaurus/ + +/tmp/* +src/backend/langflow/frontend/ +src/backend/base/langflow/frontend/ +.docker +scratchpad* +chroma*/* +stuff/* +src/frontend/playwright-report/index.html +*.bak +prof/* + +src/frontend/temp +*-shm +*-wal +.history + +.dspy_cache/ +*.db diff --git a/acp-agents/Makefile b/acp-agents/Makefile new file mode 100644 index 000000000..85b273697 --- /dev/null +++ b/acp-agents/Makefile @@ -0,0 +1,57 @@ +PWD := $(shell pwd) +CONTAINER_COMPOSE_FILE = $(PWD)/container-compose.yml + +.PHONY: start-podman +start-podman: + @echo "๐Ÿ“ฆ Building container images" + podman-compose --file ${CONTAINER_COMPOSE_FILE} build --no-cache; + @echo "๐Ÿš€ Starting containers" + podman-compose --file ${CONTAINER_COMPOSE_FILE} --project-name travel-agents up -d; + +.PHONY: stop-podman +stop-podman: + podman-compose --file ${CONTAINER_COMPOSE_FILE} --project-name travel-agents down -v; + +.PHONY: start-docker +start-docker: + @echo "๐Ÿ“ฆ Building container images" + docker compose --file ${CONTAINER_COMPOSE_FILE} build; + @echo "๐Ÿš€ Starting containers" + docker compose --file ${CONTAINER_COMPOSE_FILE} --project-name travel-agents up -d; + +.PHONY: stop-docker +stop-docker: + docker compose --file ${CONTAINER_COMPOSE_FILE} --project-name travel-agents down -v; + +.PHONY: check +check: ## Run code quality tools + @echo "๐Ÿš€ Checking lock file consistency with 'pyproject.toml'" + @uv lock --locked + @echo "๐Ÿš€ Linting code: Running pre-commit" + @uv run pre-commit run -a + @echo "๐Ÿš€ Static type checking: Running mypy" + @uv run mypy agents/travel_concierge_agent + @uv run mypy agents/city_selection_agent + @uv run mypy agents/flight_planner_agent + @uv run mypy agents/hotel_planner_agent + @uv run mypy agents/city_expert_agent + @uv run mypy agents/itinerary_planner_agent + +.PHONY: deploy-codeengine +deploy-codeengine: + @echo "๐Ÿ“ฆ Deploy agents to Code Engine" + sh scripts/deploy.sh + +.PHONY: undeploy-codeengine +undeploy-codeengine: + @echo "๐Ÿ“ฆ Undeploy agents from Code Engine" + sh scripts/undeploy.sh + + + +.PHONY: help +help: + @uv run python -c "import re; \ + [[print(f'\033[36m{m[0]:<20}\033[0m {m[1]}') for m in re.findall(r'^([a-zA-Z_-]+):.*?## (.*)$$', open(makefile).read(), re.M)] for makefile in ('$(MAKEFILE_LIST)').strip().split()]" + +.DEFAULT_GOAL := help diff --git a/acp-agents/README.md b/acp-agents/README.md new file mode 100644 index 000000000..dba86b8bd --- /dev/null +++ b/acp-agents/README.md @@ -0,0 +1,223 @@ +

+ + + + ACP + Code Engine + +

+ Agent Communication Protocol (ACP) + IBM Code Engine +

+ +

Multi-Agent Example

+ +## About this example + +As AI agents grow in complexity, the need for interoperable, scalable, and modular communication protocols becomes essential. The Agent Communication Protocol (ACP), a Linux Foundation-backed standard, provides a robust framework for how AI agents, humans, and tools communicate over HTTP. When paired with a cloud-native platform like IBM Cloud Code Engine, ACP enables seamless and scalable deployment of intelligent, multi-agent systems. + +In this example, we explore how ACP and IBM Cloud Code Engine work together to unlock the potential of scalable, multi-agent AI applications. ACP streamlines communication between AI agents, making it easy to orchestrate complex workflows. Whether you're building chatbots, automation tools, or sophisticated agent-based applications, this combination simplifies both development and deployment. + +As a practical example, we highlight a travel agency system that coordinates with specialized agentsโ€”such as those for city recommendations, hotel search, flight planning, and budget management. The ACP framework ensures each agent communicates effectively, while IBM Cloud Code Engine handles the deployment of the entire system, including the front-end interface and backend services. With just a few commands, developers can launch a fully operational application without worrying about infrastructure. + +Ultimately, the real power of ACP and IBM Cloud Code Engine lies in their general applicability. From intelligent assistants to enterprise automation, this stack provides a scalable, modular, and developer-friendly foundation for the future of agent-based AI systems. + +## Architecture + +#### Meet the Agents + +The system is built around six specialized agents, plus a concierge agent that orchestrates the flow: + +- City Selection Agent โ€“ Picks the best destination cities based on preferences. +- City Expert Agent โ€“ Fetches local insights: attractions, restaurants, hidden gems. +- Budget Planner Agent โ€“ Ensures the plan stays within the travelerโ€™s budget. +- Flight Planner Agent โ€“ Suggests and organizes flight options. +- Hotel Planner Agent โ€“ Recommends accommodations. +- Itinerary Planner Agent โ€“ Combines everything into a day-by-day schedule. +- Travel Concierge Agent โ€“ Acts as the conductor, calling each agent in sequence and compiling the final result. + +#### How It Works + +The Travel Concierge Agent coordinates all agents using sequential chaining: + +- Receives user input (destination type, budget, duration, preferences). +- Calls the City Selection Agent to determine where to go. +- Passes the city choice to the City Expert, Flight Planner, Hotel Planner, and Budget Planner agents in sequence. +- Finally, sends all results to the Itinerary Planner Agent to build the final day-by-day travel plan. +- Returns the full plan to the user. + +#### Deployment + +![](./assets/architecture.png) + +You can deploy the agents [locally](#deploy-on-local-machine) or on [Code Engine](#deploy-to-code-engine) + +## Deploy on local machine + +### Mac Silicon + +Download image with AMD64 architecture + +```sh +podman pull --platform linux/amd64 registry.access.redhat.com/ubi9/python-312:9.6-1752571600 +``` + +Verify architecture + +```sh +podman run --platform linux/amd64 -it registry.access.redhat.com/ubi9/python-312:9.6-1752571600 arch +``` + +### Ollama + +Install: + +```sh +curl -fsSL https://ollama.com/install.sh | sh +``` + +```sh +OLLAMA_HOST=192.168.178.26:11434 ollama serve +``` + +```sh +ollama pull qwen3:8b +``` + +### Podman + +Install: + +```sh +brew install podman +brew install podman-compose +``` + +### Environment variables + +```sh +vim .env +``` + +#### Ollama inference server + +What's my machine ip? + +`ipconfig getifaddr en0` + +```sh +INFERENCE_BASE_URL=http://:11434/v1 +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=openai/qwen3:8b +``` + +#### watsonx.ai + +```sh +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= +``` + +### Start container + +```sh +make start-podman +``` + +```sh +podman ps +``` + +### Plan your first trip + +```sh +open http://localhost:5555 +``` + +Use ACP client example + +```sh +uv run clients/travel-concierge-agent.py +``` + +### Example requests + +**Unspecific request** + +```sh +Plan a trip from Stuttgart to Oslo +``` + +**Detailed request with one destinations** + +```sh +Plan a trip from Stuttgart to Oslo from October 10 for 6 days. I'm interested in sightseeing, coffee, family hotel, restaurants, activities with kids and technology trends. My budget is Mid-range (โ‚ฌ1000-โ‚ฌ1800) and I prefer historical sites, local cuisine, and avoiding crowded tourist traps +``` + +**Detailed request with multiple possible destinations** + +```sh +Plan a trip from Stuttgart to either Paris or Rome from October 10 for 6 days. I'm interested in sightseeing, coffee, family hotel, restaurants, activities with kids and technology trends. My budget is Mid-range (โ‚ฌ1000-โ‚ฌ1800) and I prefer historical sites, local cuisine, and avoiding crowded tourist traps +``` + +### Stop container + +```sh +make stop-podman +``` + +## Deploy to Code Engine + +### Prerequisits + +Let's deploy the ACP agents on IBM Cloud Code Engine. You need to [Login into your IBM Cloud account using the IBM Cloud CLI](https://cloud.ibm.com/docs/codeengine?topic=codeengine-install-cli). + +As the inferencing service you either need a [watsonx.ai](watsonx.ai) project or an [Open AI](openai.com) api-key: + +Based on your choice, create the `.env` file with the following variables: + +```sh +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= + +# Alternative for Open AI +#INFERENCE_BASE_URL=https://api.openai.com/v1 +#INFERENCE_API_KEY= +#INFERENCE_MODEL_NAME=openai/gpt-4o +#INFERENCE_PROJECT_ID="" +``` + +### Deploy the agents to Code Engine + +Login to the target region + +```sh +REGION=eu-es +ibmcloud login -r $REGION --sso +``` + +Run the following command to create a Code Engine project and deploy the agents as Code Engine applications + +```sh +make deploy-codeengine +``` + +The script will create a new Code Engine project in the selected region and deploy the the agent and chat applications. You can see the applications being deployed in the [Code Engine User Interface](https://cloud.ibm.com/containers/serverless/projects) + +Use the following command to determine the chat applications URL + +``` +ibmcloud ce app get --name travel-concierge-chat -o json | jq -r '.status.url' +``` + +Open the URL in the browser and start chatting with the Travel Concierge agent + +### Un-deploy the agents from Code Engine + +Run the following command to teardown the deployment and delete the Code Engine project. + +```sh +make undeploy-codeengine +``` diff --git a/acp-agents/agents/budget_planner_agent/.dockerignore b/acp-agents/agents/budget_planner_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/budget_planner_agent/.env.example b/acp-agents/agents/budget_planner_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/budget_planner_agent/.gitignore b/acp-agents/agents/budget_planner_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/budget_planner_agent/Dockerfile b/acp-agents/agents/budget_planner_agent/Dockerfile new file mode 100644 index 000000000..b8f2ddc50 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5620} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/budget_planner_agent/README.md b/acp-agents/agents/budget_planner_agent/README.md new file mode 100644 index 000000000..fe4fca410 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/README.md @@ -0,0 +1,9 @@ +# Budget Planner Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/budget_planner_agent/agents.py b/acp-agents/agents/budget_planner_agent/agents.py new file mode 100644 index 000000000..f92983e16 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/agents.py @@ -0,0 +1,30 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +budget_planner_agent = Agent( + role="Budget Planner", + goal="Help travelers allocate their budget effectively across travel categories", + backstory="You are a seasoned travel budget expert who helps people allocate their travel budget wisely across flights, accommodation, activities, food, and other categories based on general rules of thumb and user preferences.", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/budget_planner_agent/frontend/__init__.py b/acp-agents/agents/budget_planner_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/budget_planner_agent/frontend/landing_page.py b/acp-agents/agents/budget_planner_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/budget_planner_agent/main.py b/acp-agents/agents/budget_planner_agent/main.py new file mode 100644 index 000000000..7ca7db58c --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/main.py @@ -0,0 +1,96 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import budget_planner_agent +from frontend.landing_page import render_landing_page +from tasks import create_budget_task +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "Budget_Planner" +AGENT_DESCRIPTION = "Help travelers allocate their budget effectively across travel categories" + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def budget_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + budget = agent_arguments.get("travel_budget") + period = agent_arguments.get("travel_period") + + budget_task = create_budget_task( + budget_min=None if budget.get("min") else budget.get("min"), + budget_max=None if budget.get("max") else budget.get("max"), + currency=budget.get("currency"), + period=f"{period.get('from_date') or None} to {period.get('to_date') or None}", + ) + + crew = Crew( + agents=[budget_planner_agent], + tasks=[budget_task], + verbose=True, + ) + + budget_breakdown = await safe_kickoff(crew) + + yield Message( + parts=[ + { + "content_type": "application/json", + "content": budget_breakdown.raw, + }, + ] + ) + + +app = create_app( + budget_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5620, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/budget_planner_agent/pyproject.toml b/acp-agents/agents/budget_planner_agent/pyproject.toml new file mode 100644 index 000000000..a2adf3d5e --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "budget-planner-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "duckduckgo-search>=8.0.2", + "fastapi>=0.115.12", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/budget_planner_agent/ruff.toml b/acp-agents/agents/budget_planner_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/budget_planner_agent/tasks.py b/acp-agents/agents/budget_planner_agent/tasks.py new file mode 100644 index 000000000..ad33369f6 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/tasks.py @@ -0,0 +1,76 @@ +import textwrap +from datetime import datetime + +from crewai import Task +from pydantic import BaseModel + +from agents import budget_planner_agent + + +class Budget(BaseModel): + flights: int + accommodation: int + activities: int + food_and_drinks: int + local_transport: int + miscellaneous: int + total: int + + +def create_budget_task(budget_min, budget_max, currency, period): + num_days = None + + try: + if " to " in period: + start_str, end_str = [p.strip() for p in period.split(" to ")] + start_date = datetime.strptime(start_str, "%Y-%m-%d") + end_date = datetime.strptime(end_str, "%Y-%m-%d") + num_days = max((end_date - start_date).days, 1) # At least 1 day + except Exception as e: + print(f"Failed to parse period: {period}, error: {e}") + num_days = None + + return Task( + description=textwrap.dedent(f""" + You are a travel budget planner. Your task is to **allocate the entire travel budget** of {budget_max} {currency} + for a trip to **Paris, France**, from {period}. The trip lasts **{num_days} days and {num_days - 1} nights**. + + โœ… You **must use the full {budget_max} {currency}**. Do not leave any part of the budget unallocated. + โš ๏ธ **The total budget must not exceed {budget_max} {currency} under any circumstance.** Use 100% of the budget โ€” +not more, not less. + + --- + + ๐Ÿ“Œ Total budget: **{budget_max} {currency}** + ๐Ÿ“Œ Trip duration: {num_days} days / {num_days - 1} nights + ๐Ÿšซ Do NOT exceed the total budget โ€” this will be treated as a failure. + + โœ… You must: + - Use all of the {budget_max} {currency} + - Not go over + - Not underuse + - Respect category minimum percentages + + ๐Ÿงฎ Distribute the budget across the following categories using realistic daily or nightly rates. Scale all per-day costs correctly. + Here are **minimum percentage guidelines**: + + - โœˆ๏ธ **Flights**: โ‰ฅ20% โ€” assume average round-trip cost to/from Paris is at least **300 {currency}** + - ๐Ÿจ **Accommodation**: โ‰ฅ25% โ€” use at least **100 {currency}/night** ร— number of nights (e.g., 5 nights = 500 minimum) + - ๐Ÿฝ๏ธ **Food & Drink**: โ‰ฅ15% โ€” estimate at least **30โ€“50 {currency}/day** + - ๐Ÿ—บ๏ธ **Activities**: โ‰ฅ15% โ€” museums, events, tours โ€” minimum **30 {currency}/day** + - ๐Ÿš• **Local Transport**: โ‰ฅ5% โ€” metro, taxis, airport transfer + - ๐ŸŽ **Miscellaneous**: โ‰ฅ5% โ€” tips, shopping, unexpected costs + + ๐Ÿงพ Use **any leftover budget** to enhance quality (e.g., better hotel, more premium meals or excursions). Avoid underestimating. Make the most of the available budget. + + ### Output: + - A **structured JSON object** with categories and final amounts + - Include **internal calculations** like `nightly rate ร— nights` in comments if supported + - Round totals, and confirm that they add up to **exactly {budget_max} {currency}** + + โš ๏ธ Do **not** return a budget lower than {budget_max} {currency}. + """), + agent=budget_planner_agent, + output_json=Budget, + expected_output="A clear, structured JSON object representing the full budget breakdown with consideration for trip duration.", + ) diff --git a/acp-agents/agents/budget_planner_agent/tools.py b/acp-agents/agents/budget_planner_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/budget_planner_agent/utils.py b/acp-agents/agents/budget_planner_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/budget_planner_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + 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b/acp-agents/agents/city_expert_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/city_expert_agent/.env.example b/acp-agents/agents/city_expert_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/city_expert_agent/.gitignore b/acp-agents/agents/city_expert_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/city_expert_agent/Dockerfile b/acp-agents/agents/city_expert_agent/Dockerfile new file mode 100644 index 000000000..98035f1b7 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5630} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/city_expert_agent/README.md b/acp-agents/agents/city_expert_agent/README.md new file mode 100644 index 000000000..de88f38e1 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/README.md @@ -0,0 +1,9 @@ +# City Expert Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/city_expert_agent/agents.py b/acp-agents/agents/city_expert_agent/agents.py new file mode 100644 index 000000000..2546eb6d4 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/agents.py @@ -0,0 +1,30 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +city_local_expert_agent = Agent( + role="Local City Expert", + goal="Provide the BEST insights about the selected city", + backstory="A knowledgeable local guide with extensive information about the city, it's attractions and customs", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/city_expert_agent/frontend/__init__.py b/acp-agents/agents/city_expert_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/city_expert_agent/frontend/landing_page.py b/acp-agents/agents/city_expert_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/city_expert_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/city_expert_agent/main.py b/acp-agents/agents/city_expert_agent/main.py new file mode 100644 index 000000000..7c45f6077 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/main.py @@ -0,0 +1,88 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import city_local_expert_agent +from frontend.landing_page import render_landing_page +from tasks import create_gather_task +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "City_Expert" +AGENT_DESCRIPTION = "A culturally aware, detail-oriented travel specialist with deep local knowledge of global destinations. Provides travelers with personalized, on-the-ground insights that go beyond tourist guides." + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def city_selection_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + gather_task = create_gather_task(location=f"{agent_arguments.get('city')}, {agent_arguments.get('country')}", currency=agent_arguments.get("currency")) + + crew = Crew( + agents=[city_local_expert_agent], + tasks=[gather_task], + verbose=True, + ) + + city_guide = await safe_kickoff(crew) + + yield Message( + parts=[ + { + "content_type": "application/json", + "content": city_guide.raw, + }, + ] + ) + + +app = create_app( + city_selection_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5630, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/city_expert_agent/pyproject.toml b/acp-agents/agents/city_expert_agent/pyproject.toml new file mode 100644 index 000000000..118d422f2 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/pyproject.toml @@ -0,0 +1,16 @@ +[project] +name = "city-expert-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "fastapi>=0.115.12", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/city_expert_agent/ruff.toml b/acp-agents/agents/city_expert_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/city_expert_agent/tasks.py b/acp-agents/agents/city_expert_agent/tasks.py new file mode 100644 index 000000000..748d8b486 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/tasks.py @@ -0,0 +1,53 @@ +import textwrap + +from crewai import Task + +from agents import city_local_expert_agent + + +def create_gather_task(location, currency): + return Task( + description=textwrap.dedent(f""" + As a Travel Local Expert โ€” a culturally aware, detail-oriented travel specialist with deep local knowledge of global destinations and expert on this city you must compile an + in-depth guide for someone traveling there and wanting to have THE BEST trip ever! + + You provide travelers with personalized, on-the-ground insights that go beyond tourist guides. + + **Goal**: + Help travelers discover the most authentic, enjoyable, and relevant experiences in their chosen destination, tailored to their interests, budget, and travel style. + + Gather information about key attractions, local customs, special events, and daily activity recommendations. + + **Capabilities**: + - Recommend hidden gems, local favorites, and off-the-beaten-path experiences. + - Provide advice on cultural norms, etiquette, and local customs. + - Suggest dining, sightseeing, spots, and activities. + - Avoid tourist traps by offering locally trusted alternatives. + - Tailor recommendations based on the traveler's interests + - Understand the seasonal context (weather, events, festivals). + - Provide practical tips such as local transport options, safety, and budgeting hacks. + - Research hotels and accommodation based on budget and preferences. + + **Instructions**: + - Always align your suggestions with the traveler's preferences and stated budget. + - Prioritize authenticity and cultural depth over generic or overly commercial options. + - Highlight why each recommendation is a good fit for the traveler (context matters). + - Avoid clichรฉs and vague travel advice โ€” be specific, current, and useful. + + This guide should provide a thorough overview of what the city has to offer, + including hidden gems, cultural hotspots, must-visit landmarks, weather forecasts, + and high level costs. + + The final answer must in a clear, friendly tone, formatted as a structured guide or itinerary. + The guide should be written in markdown and should include a heading hierarchy (starting with H1) within the document. + Include bullet points for easy reading when appropriate. + If needed, cite relevant details like location, hours, or expected costs. + + Always present prices in the user's preferred currency: {currency}. + + **Selected city**: + {location} + """), + agent=city_local_expert_agent, + expected_output="Comprehensive city guide including hidden gems, cultural hotspots, and practical travel tips. Important: Return the output in markdown format.", + ) diff --git a/acp-agents/agents/city_expert_agent/tools.py b/acp-agents/agents/city_expert_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/city_expert_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/city_expert_agent/utils.py b/acp-agents/agents/city_expert_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/city_expert_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + if attempt < retries: + logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...") + await asyncio.sleep(delay) + else: + logging.error(f"kickoff_async failed after {retries + 1} attempts: {e}") + raise diff --git a/acp-agents/agents/city_expert_agent/uv.lock b/acp-agents/agents/city_expert_agent/uv.lock new file mode 100644 index 000000000..51beaf07e --- /dev/null +++ b/acp-agents/agents/city_expert_agent/uv.lock @@ -0,0 +1,3696 @@ +version = 1 +revision = 1 +requires-python = ">=3.12" +resolution-markers = [ 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b/acp-agents/agents/city_selection_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/city_selection_agent/.env.example b/acp-agents/agents/city_selection_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/city_selection_agent/.gitignore b/acp-agents/agents/city_selection_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/city_selection_agent/Dockerfile b/acp-agents/agents/city_selection_agent/Dockerfile new file mode 100644 index 000000000..58b317241 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5610} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/city_selection_agent/README.md b/acp-agents/agents/city_selection_agent/README.md new file mode 100644 index 000000000..fae30493f --- /dev/null +++ b/acp-agents/agents/city_selection_agent/README.md @@ -0,0 +1,9 @@ +# City Selection Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/city_selection_agent/agents.py b/acp-agents/agents/city_selection_agent/agents.py new file mode 100644 index 000000000..f28fd37c5 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/agents.py @@ -0,0 +1,43 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +city_research_agent = Agent( + role="City Research Agent", + goal="Gather detailed, up-to-date travel information for a specific destination, tailored to a traveler's origin, dates, interests, and budget.", + backstory=( + "You are a skilled travel researcher who curates reliable, location-specific data for trip planners. " + "You find accurate information on attractions, transport, accommodations, and events while factoring in the traveler's interests and budget." + ), + reasoning=True, + verbose=True, + llm=llm, +) + +city_selection_expert_agent = Agent( + role="City Selection Expert", + goal="Select the best city based on weather, season, and prices", + backstory="An expert in analyzing travel data to pick ideal destinations", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/city_selection_agent/classes/task.py b/acp-agents/agents/city_selection_agent/classes/task.py new file mode 100644 index 000000000..d8bd1ed05 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/classes/task.py @@ -0,0 +1,53 @@ +from dotenv import load_dotenv +from litellm import completion +from pydantic import BaseModel + +from schemas import Model + +load_dotenv() + + +class Task: + def __init__(self, model: Model, system_prompt: str = None, output_type: BaseModel = None): + self.model = model + self.system_prompt = system_prompt + self.output_type = output_type + + async def run(self, user_prompt: str): + messages = [] + + if self.system_prompt: + messages.append( + { + "content": self.system_prompt, + "role": "system", + } + ) + + messages.append( + { + "content": user_prompt, + "role": "user", + } + ) + + response = completion( + base_url=self.model.base_url, + api_key=self.model.api_key, + model=self.model.model, + messages=messages, + project_id=self.model.project_id, + temperature=0, + extra_body={ + "response_format": { + "type": "json_schema", + "json_schema": { + "name": "response-schema", + "strict": True, + "schema": self.output_type.model_json_schema(), + }, + } + }, + ) + + return self.output_type.model_validate_json(response.choices[0].message.content) diff --git a/acp-agents/agents/city_selection_agent/frontend/__init__.py b/acp-agents/agents/city_selection_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/city_selection_agent/frontend/landing_page.py b/acp-agents/agents/city_selection_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/city_selection_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/city_selection_agent/main.py b/acp-agents/agents/city_selection_agent/main.py new file mode 100644 index 000000000..79b32e418 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/main.py @@ -0,0 +1,127 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import city_research_agent, city_selection_expert_agent +from frontend.landing_page import render_landing_page +from tasks import create_city_research_task, create_select_best_city_task, extract_city +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "City_Selection_Expert" +AGENT_DESCRIPTION = "An expert in analyzing travel data to pick ideal destinations" + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def city_selection_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + travel_origin = agent_arguments.get("travel_origin") + travel_period = agent_arguments.get("travel_period") + traveler_interest = agent_arguments.get("traveler_interest") + traveler_preferences = agent_arguments.get("traveler_preferences") + travel_budget = agent_arguments.get("travel_budget") + travel_destinations = agent_arguments.get("travel_destinations") + + research_information = [] + + for destination in travel_destinations.get("cities"): + city_research_task = create_city_research_task( + destination=None if destination.get("not_defined") else f"{destination.get('city')}, {destination.get('country')}", + origin=None if travel_origin.get("not_defined") else f"{travel_origin.get('city')}, {travel_origin.get('country')}", + travel_period=None if travel_period.get("not_defined") else f"{travel_period.get('from_date')} - {travel_period.get('to_date')}", + interests=None if traveler_interest.get("not_defined") else ", ".join(traveler_interest.get("list")), + preferences=None if traveler_preferences.get("not_defined") else ", ".join(traveler_preferences.get("list")), + budget=None if travel_budget.get("not_defined") else f"between {travel_budget.get('min')} and {travel_budget.get('max')} ({travel_budget.get('currency')})", + ) + + crew = Crew( + agents=[city_research_agent], + tasks=[city_research_task], + verbose=True, + ) + + research_task_output = await crew.kickoff_async() + research_information.append(research_task_output.raw) + + city_options_text = "\n\n".join(f"City option {i + 1}:\n{info}" for i, info in enumerate(research_information)) + city_selection_task = create_select_best_city_task(city_options_text) + + crew = Crew( + agents=[city_selection_expert_agent], + tasks=[city_selection_task], + verbose=True, + ) + + report = await safe_kickoff(crew) + + location = await extract_city.run(f"Extract the city from '{report}'") + + yield Message( + parts=[ + { + "content_type": "application/json", + "content": json.dumps( + { + "location": { + "city": location.city, + "country": location.country, + }, + "report": report.raw, + } + ), + }, + ] + ) + + +app = create_app( + city_selection_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5610, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/city_selection_agent/pyproject.toml b/acp-agents/agents/city_selection_agent/pyproject.toml new file mode 100644 index 000000000..72ef607b8 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "city-selection-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "fastapi>=0.115.12", + "pydantic-ai>=0.2.7", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/city_selection_agent/ruff.toml b/acp-agents/agents/city_selection_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/city_selection_agent/schemas.py b/acp-agents/agents/city_selection_agent/schemas.py new file mode 100644 index 000000000..26d746423 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/schemas.py @@ -0,0 +1,15 @@ +from typing import Annotated + +from pydantic import BaseModel, Field + + +class Model(BaseModel): + base_url: Annotated[str, Field()] | None + api_key: Annotated[str, Field()] | None = "DEFAULT" + model: Annotated[str, Field()] | None = "watsonx/ibm/granite-3-3-8b-instruct" + project_id: Annotated[str, Field()] | None = "DEFAULT" + + +class CityLocation(BaseModel): + city: str + country: str diff --git a/acp-agents/agents/city_selection_agent/tasks.py b/acp-agents/agents/city_selection_agent/tasks.py new file mode 100644 index 000000000..f1489db44 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/tasks.py @@ -0,0 +1,104 @@ +import os +import textwrap + +from crewai import Task +from dotenv import load_dotenv + +from agents import city_research_agent, city_selection_expert_agent +from classes.task import Model +from classes.task import Task as CustomTask +from schemas import CityLocation + +load_dotenv() + + +def create_city_research_task(destination, origin, travel_period, interests, preferences, budget): + return Task( + description=( + f"Collect detailed and up-to-date travel information about **{destination}** for a traveler coming from " + f"**{origin}** from **{travel_period}**. The information should be tailored to the following interests and preferences:\n\n" + f"**Interests:** {interests}\n" + f"**Preferences:** {preferences}\n" + f"**Budget:** {budget}\n\n" + "Your research should include:\n" + "- Top tourist attractions and local experiences\n" + "- Best neighborhoods to stay in\n" + "- Local transportation options\n" + "- Cultural norms, safety tips, and general travel advisories\n" + "- Local food and drink highlights\n" + "- Events or festivals during the travel period\n" + "- Sample round-trip flights from the origin to the destination with approximate prices\n" + "- Recommended hotels in different price ranges (budget, mid-range, luxury) with nightly rates\n\n" + "Deliver all findings in a well-organized markdown format categorized by topic." + ), + expected_output=( + "A markdown document structured as follows:\n" + "- **Attractions**\n" + "- **Neighborhoods**\n" + "- **Transportation**\n" + "- **Culture & Safety**\n" + "- **Food & Drink**\n" + "- **Events**\n" + "- **Sample Flights**: Airline, dates, round-trip price estimate\n" + "- **Hotels**: Name, star rating, area, nightly price, category (budget/mid-range/luxury)" + ), + agent=city_research_agent, + ) + + +def create_select_best_city_task(travel_information): + return Task( + description=textwrap.dedent(f""" + You are a travel planning expert tasked with selecting the single best city for an upcoming trip. + Your decision must be based on a comparative analysis of multiple cities using the following criteria: + - Current and forecasted weather + - Seasonal or cultural events + - Key attractions and activities + - Local customs or unique experiences + - Total travel costs (including flights and accommodations) + - Travel requirements (e.g., visas, vaccinations) + + Carefully evaluate each candidate city using real or plausible data. Then choose ONE city that offers the best + overall experience based on the above factors. + + **Your response must be a detailed report in Markdown format**, with the following structure: + 1. **City Chosen**: Name the selected city. + 2. **Overview**: Brief summary of the city's appeal. + 3. **Weather Forecast**: Current and upcoming conditions. + 4. **Cultural & Seasonal Events**: Any notable events during the planned travel period. + 5. **Attractions**: Key highlights and must-see locations. + 6. **Local Culture & Customs**: Any unique or important local considerations. + 7. **Food & Drink**: Notable local cuisine or dining experiences. + 8. **Travel Costs**: + - Estimated flight cost from the traveler's origin + - Average hotel cost per night + 9. **Travel Requirements**: Visa or other entry considerations. + 10. **Justification**: A clear explanation of why this city is the best choice over others considered. + + **Important:** Do not generate a generic travel guide. Instead, make a reasoned, data-backed recommendation based on the travel information provided. + + --- + + **Travel information to consider:** + + {travel_information} + + --- + **Reminder:** Select and report on only **one** city. + """), + agent=city_selection_expert_agent, + expected_output=( + "Markdown format. Use a structured report with headings as listed above. The report should include a single selected city, detailed supporting analysis, and justification based on comparative evaluation of all options." + ), + ) + + +extract_city = CustomTask( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + output_type=CityLocation, +) diff --git a/acp-agents/agents/city_selection_agent/tools.py b/acp-agents/agents/city_selection_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/city_selection_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/city_selection_agent/utils.py b/acp-agents/agents/city_selection_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/city_selection_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + if attempt < retries: + logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...") + await asyncio.sleep(delay) + else: + 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b/acp-agents/agents/flight_planner_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/flight_planner_agent/.env.example b/acp-agents/agents/flight_planner_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/flight_planner_agent/.gitignore b/acp-agents/agents/flight_planner_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/flight_planner_agent/Dockerfile b/acp-agents/agents/flight_planner_agent/Dockerfile new file mode 100644 index 000000000..374de1018 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5650} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/flight_planner_agent/README.md b/acp-agents/agents/flight_planner_agent/README.md new file mode 100644 index 000000000..1537ebae3 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/README.md @@ -0,0 +1,9 @@ +# Flight Planner Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/flight_planner_agent/agents.py b/acp-agents/agents/flight_planner_agent/agents.py new file mode 100644 index 000000000..ad46a46ec --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/agents.py @@ -0,0 +1,30 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +flight_planner_agent = Agent( + role="Flight Planner", + goal="Find and book the best flights for the user", + backstory="You are an expert at finding affordable and convenient flights for global travelers.", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/flight_planner_agent/frontend/__init__.py b/acp-agents/agents/flight_planner_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/flight_planner_agent/frontend/landing_page.py b/acp-agents/agents/flight_planner_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/flight_planner_agent/main.py b/acp-agents/agents/flight_planner_agent/main.py new file mode 100644 index 000000000..54f265b34 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/main.py @@ -0,0 +1,92 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message, MessagePart +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import flight_planner_agent +from frontend.landing_page import render_landing_page +from tasks import create_flight_task +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "Flight_Planner" +AGENT_DESCRIPTION = "Find the best flight options from travel origin to travel destination between a start date and end date" + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def flight_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + origin = agent_arguments.get("origin") + destination = agent_arguments.get("destination") + period = agent_arguments.get("period") + budget = agent_arguments.get("budget") + + flight_task = create_flight_task( + origin=f"{origin.get('city')}, {origin.get('country')}", + destination=f"{destination.get('city')}, {destination.get('country')}", + from_date=period.get("from_date"), + to_date=period.get("to_date"), + budget=f"{budget.get('max')} ({budget.get('currency')})", + currency=budget.get("currency"), + ) + + crew = Crew( + agents=[flight_planner_agent], + tasks=[flight_task], + verbose=True, + ) + + flight_options = await safe_kickoff(crew) + yield Message(parts=[MessagePart(content=str(flight_options.raw))]) + + +app = create_app( + flight_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5650, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/flight_planner_agent/pyproject.toml b/acp-agents/agents/flight_planner_agent/pyproject.toml new file mode 100644 index 000000000..225743b41 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "flight-planner-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "duckduckgo-search>=8.0.2", + "fastapi>=0.115.12", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/flight_planner_agent/ruff.toml b/acp-agents/agents/flight_planner_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/flight_planner_agent/tasks.py b/acp-agents/agents/flight_planner_agent/tasks.py new file mode 100644 index 000000000..093e676fa --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/tasks.py @@ -0,0 +1,47 @@ +import textwrap + +from crewai import Task + +from agents import flight_planner_agent + + +def create_flight_task(origin, destination, from_date, to_date, budget, currency): + return Task( + description=textwrap.dedent(f""" + You are a travel assistant. Find **real round-trip flights** from **{origin}** to **{destination}**, + departing on **{from_date}** and returning on **{to_date}**, with a total budget of **{budget} {currency}**. + + --- + + ## โœ… Requirements: + - Include only flights where **total price โ‰ค {budget} {currency}** + - Prioritize: + - **Direct flights** + - **Highly-rated airlines** + - Reasonable departure and return times + - List **1 to 5 top round-trip options** + + --- + + ## โœ… Output Format (Markdown Only): + For each flight option, format like this: + + ** โ€” Total Price: {currency}** + + ```markdown + | Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | + |----------|----------|----------|-------------------|-------------------|----------------|----------|--------| + | Outbound | | | YYYY-MM-DD HH:MM | YYYY-MM-DD HH:MM | | <4h> | Yes/No | + | Return | | | YYYY-MM-DD HH:MM | YYYY-MM-DD HH:MM | | <4h> | Yes/No | + ``` + + --- + + ## โš ๏ธ Notes: + - Do **not** include commentary, bullet points, or summaries + - Only return markdown tables (no prose or explanation) + - Do **not** fabricate or estimate flight info or prices + """), + agent=flight_planner_agent, + expected_output=("Markdown tables for 1-5 round-trip flight options with price, schedule, and flight details."), + ) diff --git a/acp-agents/agents/flight_planner_agent/tools.py b/acp-agents/agents/flight_planner_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/flight_planner_agent/utils.py b/acp-agents/agents/flight_planner_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/flight_planner_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + if attempt < retries: + logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...") + await asyncio.sleep(delay) + else: + logging.error(f"kickoff_async failed after {retries + 1} attempts: {e}") + raise diff --git 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b/acp-agents/agents/hotel_planner_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/hotel_planner_agent/.env.example b/acp-agents/agents/hotel_planner_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/hotel_planner_agent/.gitignore b/acp-agents/agents/hotel_planner_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/hotel_planner_agent/Dockerfile b/acp-agents/agents/hotel_planner_agent/Dockerfile new file mode 100644 index 000000000..e158acffc --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5640} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/hotel_planner_agent/README.md b/acp-agents/agents/hotel_planner_agent/README.md new file mode 100644 index 000000000..9582c273e --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/README.md @@ -0,0 +1,9 @@ +# Hotel Planner Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/hotel_planner_agent/agents.py b/acp-agents/agents/hotel_planner_agent/agents.py new file mode 100644 index 000000000..b89ef0bfd --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/agents.py @@ -0,0 +1,30 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +hotel_planner_agent = Agent( + role="Hotel Planner", + goal="Book comfortable and well-located hotels within the user's budget", + backstory="You specialize in hotel bookings, from boutique hotels to luxury resorts. You consider location, amenities, and reviews.", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/hotel_planner_agent/frontend/__init__.py b/acp-agents/agents/hotel_planner_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/hotel_planner_agent/frontend/landing_page.py b/acp-agents/agents/hotel_planner_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/hotel_planner_agent/main.py b/acp-agents/agents/hotel_planner_agent/main.py new file mode 100644 index 000000000..bf8a2187c --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/main.py @@ -0,0 +1,91 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message, MessagePart +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import hotel_planner_agent +from frontend.landing_page import render_landing_page +from tasks import create_hotel_task +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "Hotel_Planner" +AGENT_DESCRIPTION = "Find comfortable and affordable hotels in travel destination} during start date to end date" + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def hotel_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + destination = agent_arguments.get("destination") + period = agent_arguments.get("period") + budget = agent_arguments.get("budget") + + hotel_task = create_hotel_task( + destination=f"{destination.get('city')}, {destination.get('country')}", + from_date=period.get("from_date"), + to_date=period.get("to_date"), + nights=period.get("nights"), + budget=f"{budget.get('max')} ({budget.get('currency')})", + currency=budget.get("currency"), + ) + + crew = Crew( + agents=[hotel_planner_agent], + tasks=[hotel_task], + verbose=True, + ) + + hotel_options = await safe_kickoff(crew) + yield Message(parts=[MessagePart(content=str(hotel_options.raw))]) + + +app = create_app( + hotel_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5640, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/hotel_planner_agent/pyproject.toml b/acp-agents/agents/hotel_planner_agent/pyproject.toml new file mode 100644 index 000000000..1a5309513 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "hotel-planner-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "duckduckgo-search>=8.0.2", + "fastapi>=0.115.12", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/hotel_planner_agent/ruff.toml b/acp-agents/agents/hotel_planner_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/hotel_planner_agent/tasks.py b/acp-agents/agents/hotel_planner_agent/tasks.py new file mode 100644 index 000000000..124837bae --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/tasks.py @@ -0,0 +1,44 @@ +import textwrap + +from crewai import Task + +from agents import hotel_planner_agent + + +def create_hotel_task(destination, from_date, to_date, nights, budget, currency): + return Task( + description=textwrap.dedent(f""" + You are a travel assistant. Find **real hotels** in **{destination}** for a stay from **{from_date}** to **{to_date}** (**{nights} nights**) within a total hotel budget of **{budget} {currency}**. + + --- + + ## โœ… Requirements: + - Only include hotels where **total cost โ‰ค {budget} {currency}** + - Do **not** invent or guess prices, amenities, or ratings + - All data must be from real sources + - For each hotel, include: + - **Hotel Name** + - **Nightly Price** + - **Total Price** (nightly ร— nights) + - **Amenities** (short list) + - **Review Score** + + --- + + ## โš ๏ธ Notes: + - If no hotel is available within budget, clearly state that + - Do **not** include internal thoughts, calculations, or commentary + - Output only the final list + + --- + + ## โœ… Output Format (Markdown Table): + | Hotel Name | Nightly Price | Total Price | Amenities | Rating | + |--------------------|---------------|-------------|----------------------------|--------| + | Example Hotel Name | 90 EUR | 540 EUR | Free Wi-Fi, Breakfast | 8.4 | + + List **up to 3 best options**, sorted by rating descending. + """), + agent=hotel_planner_agent, + expected_output="Up to 3 hotel options in a Markdown table with columns: Hotel Name, Nightly Price, Total Price, Amenities, and Rating. Only include hotels within budget.", + ) diff --git a/acp-agents/agents/hotel_planner_agent/tools.py b/acp-agents/agents/hotel_planner_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/hotel_planner_agent/utils.py b/acp-agents/agents/hotel_planner_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + if attempt < retries: + logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...") + await asyncio.sleep(delay) + else: + logging.error(f"kickoff_async failed after {retries + 1} attempts: {e}") + raise diff --git a/acp-agents/agents/hotel_planner_agent/uv.lock b/acp-agents/agents/hotel_planner_agent/uv.lock new file mode 100644 index 000000000..8beacdf6a --- /dev/null +++ b/acp-agents/agents/hotel_planner_agent/uv.lock @@ -0,0 +1,3770 @@ +version = 1 +revision = 1 +requires-python = ">=3.12" +resolution-markers = [ + 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b/acp-agents/agents/itinerary_planner_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/itinerary_planner_agent/.env.example b/acp-agents/agents/itinerary_planner_agent/.env.example new file mode 100644 index 000000000..f78fa5f19 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/.env.example @@ -0,0 +1,12 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= diff --git a/acp-agents/agents/itinerary_planner_agent/.gitignore b/acp-agents/agents/itinerary_planner_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/itinerary_planner_agent/Dockerfile b/acp-agents/agents/itinerary_planner_agent/Dockerfile new file mode 100644 index 000000000..a19f2b5c2 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/Dockerfile @@ -0,0 +1,57 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +USER root + +# https://docs.trychroma.com/updates/troubleshooting#sqlite +RUN uv add pysqlite3-binary +RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --frozen --no-dev + +USER 1001 + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5660} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/itinerary_planner_agent/README.md b/acp-agents/agents/itinerary_planner_agent/README.md new file mode 100644 index 000000000..f388547db --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/README.md @@ -0,0 +1,9 @@ +# Itinerary Planner Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/itinerary_planner_agent/agents.py b/acp-agents/agents/itinerary_planner_agent/agents.py new file mode 100644 index 000000000..41572ea15 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/agents.py @@ -0,0 +1,30 @@ +import os + +from crewai import LLM, Agent +from dotenv import load_dotenv + +from tools import duckduckgosearch_tool, scrape_tool + +load_dotenv() + +llm = LLM( + model=os.getenv("INFERENCE_MODEL_NAME"), + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + max_tokens=8192, + temperature=0, +) + +itinerary_planner_agent = Agent( + role="Itinerary Planner", + goal="Create the most amazing travel itineraries with budget and packing suggestions for the city.", + backstory="Specialist in travel planning and logistics with decades of experience", + tools=[ + scrape_tool, + duckduckgosearch_tool, + ], + reasoning=True, + verbose=True, + llm=llm, +) diff --git a/acp-agents/agents/itinerary_planner_agent/frontend/__init__.py b/acp-agents/agents/itinerary_planner_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/itinerary_planner_agent/frontend/landing_page.py b/acp-agents/agents/itinerary_planner_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/itinerary_planner_agent/main.py b/acp-agents/agents/itinerary_planner_agent/main.py new file mode 100644 index 000000000..5c8c8ecc4 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/main.py @@ -0,0 +1,88 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message, MessagePart +from acp_sdk.server import RunYield, RunYieldResume, agent, create_app +from crewai import Crew +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from agents import itinerary_planner_agent +from frontend.landing_page import render_landing_page +from tasks import create_itinerary_task +from utils import safe_kickoff + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "Itinerary_Planner" +AGENT_DESCRIPTION = "Trip designer who organizes days for the perfect travel experience." + + +@agent( + name=AGENT_NAME, + description=AGENT_DESCRIPTION, +) +async def itinerary_agent( + input: list[Message], +) -> AsyncGenerator[RunYield, RunYieldResume]: + agent_input = input[0].parts[0].content or "" + + try: + agent_arguments = json.loads(agent_input) + except json.JSONDecodeError: + agent_arguments = {} + + travel_guide = agent_arguments.get("travel_guide") + hotel_options = agent_arguments.get("hotel_options") + flight_options = agent_arguments.get("flight_options") + + itinerary_task = create_itinerary_task( + travel_guide=travel_guide, + hotel_options=hotel_options, + flight_options=flight_options, + ) + + crew = Crew( + agents=[itinerary_planner_agent], + tasks=[itinerary_task], + verbose=True, + ) + + itinerary = await safe_kickoff(crew) + yield Message(parts=[MessagePart(content=str(itinerary.raw))]) + + +app = create_app( + itinerary_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5660, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/itinerary_planner_agent/pyproject.toml b/acp-agents/agents/itinerary_planner_agent/pyproject.toml new file mode 100644 index 000000000..24f7c99b6 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/pyproject.toml @@ -0,0 +1,16 @@ +[project] +name = "itinerary-planner-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "fastapi>=0.115.12", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/itinerary_planner_agent/ruff.toml b/acp-agents/agents/itinerary_planner_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/itinerary_planner_agent/tasks.py b/acp-agents/agents/itinerary_planner_agent/tasks.py new file mode 100644 index 000000000..21f91c47d --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/tasks.py @@ -0,0 +1,68 @@ +from crewai import Task + +from agents import itinerary_planner_agent + + +def create_itinerary_task(travel_guide, hotel_options, flight_options): + return Task( + description=f""" + You are a professional travel itinerary planner. Create a **detailed multi-day Markdown-formatted travel itinerary** using the provided travel guide, hotel options, and flight options. This itinerary should be **personalized**, **well-organized**, and **optimized for comfort, efficiency, and enjoyment**. + + --- + + ## โœ… Required Structure and Content + + ### For Each Day: + - **Section Title**: `## Day X: [Short Description or Theme]` + - **Schedule (Table Format)**: + | Time of Day | Plan | + |-------------|------| + | Morning | ... | + | Afternoon | ... | + | Evening | ... | + + - **Weather Forecast & Conditions** + - **Clothing & Packing Suggestions** + - **Estimated Budget Breakdown**: + - Transport + - Meals + - Activities + - Lodging + + ### Recommendations You Must Include: + - โœˆ๏ธ Specific flights to/from the destination (best pick with reason) + - ๐Ÿจ Best hotel (or family-friendly) with short reasoning (e.g., walkability, amenities) + - ๐Ÿ›๏ธ Attractions & activities tailored to interests + - ๐Ÿฝ๏ธ Suggested restaurants/cafes for each meal (with a short reason: "great for kids", "top-rated", etc.) + + --- + + ## โš ๏ธ DO NOT: + - Do **not** copy or summarize the travel guide directly + - Do **not** return generic or unstructured responses + - Avoid encyclopedic city summaries + + --- + + ## โœ… Output Format: + - Must be in **Markdown** + - Use clear sections (`##`, `###`, `-`, `|`) + - Include explanations for all recommendations (brief and friendly) + - Make it feel curated and helpful, not robotic + + --- + + ### Provided Data: + + **๐Ÿงญ Travel Guide (from Local Expert Agent):** + {travel_guide} + + **๐Ÿจ Hotel Options:** + {hotel_options} + + **โœˆ๏ธ Flight Options:** + {flight_options} + """, + agent=itinerary_planner_agent, + expected_output="Detailed, multi-day Markdown-formatted travel itinerary with daily schedule tables, budget estimates, and recommendations.", + ) diff --git a/acp-agents/agents/itinerary_planner_agent/tools.py b/acp-agents/agents/itinerary_planner_agent/tools.py new file mode 100644 index 000000000..f98159836 --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/tools.py @@ -0,0 +1,25 @@ +from crewai.tools.base_tool import BaseTool +from crewai_tools import ScrapeWebsiteTool, SerperDevTool +from langchain_community.tools import DuckDuckGoSearchRun + + +class DuckDuckGoSearchTool(BaseTool): + name: str = "DuckDuckGo Search Tool" + description: str = "Search the web for a given query." + + def _run(self, query: str) -> str: + try: + duckduckgo_tool = DuckDuckGoSearchRun() + + return duckduckgo_tool.invoke(query) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" + + def _get_tool(self): + # Create an instance of the tool when needed + return DuckDuckGoSearchTool() + + +scrape_tool = ScrapeWebsiteTool() +duckduckgosearch_tool = DuckDuckGoSearchTool() +search_tool = SerperDevTool() diff --git a/acp-agents/agents/itinerary_planner_agent/utils.py b/acp-agents/agents/itinerary_planner_agent/utils.py new file mode 100644 index 000000000..99befafcc --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/utils.py @@ -0,0 +1,15 @@ +import asyncio +import logging + + +async def safe_kickoff(crew, retries=2, delay=1): + for attempt in range(retries + 1): + try: + return await crew.kickoff_async() + except Exception as e: + if attempt < retries: + logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...") + await asyncio.sleep(delay) + else: + logging.error(f"kickoff_async failed after {retries + 1} attempts: {e}") + raise diff --git a/acp-agents/agents/itinerary_planner_agent/uv.lock b/acp-agents/agents/itinerary_planner_agent/uv.lock new file mode 100644 index 000000000..2c5f5cc6f --- /dev/null +++ b/acp-agents/agents/itinerary_planner_agent/uv.lock @@ -0,0 +1,3696 @@ +version = 1 +revision = 1 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.13'", + "python_full_version >= '3.12.4' and python_full_version < '3.13'", + "python_full_version < '3.12.4'", +] + +[[package]] +name = "acp-sdk" +version = "0.10.1" +source = { registry = "https://pypi.org/simple" } 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b/acp-agents/agents/travel_concierge_agent/.dockerignore new file mode 100644 index 000000000..7a7ebd681 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/.dockerignore @@ -0,0 +1,33 @@ +__pycache__/ +.my_cache_dir +.pytest_cache +.ruff_cache +*.pyc +*.pyo +*.pyd +*.db +*.sqlite3 + +.env +.venv +*.env + +**/.env +**/.venv +**/*.env + +.git +.gitignore +Dockerfile +.dockerignore + +*.log +*.bak +*.swp + +.vscode/ +.idea/ + +# OS-specific +.DS_Store +Thumbs.db diff --git a/acp-agents/agents/travel_concierge_agent/.env.example b/acp-agents/agents/travel_concierge_agent/.env.example new file mode 100644 index 000000000..6272b2f1f --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/.env.example @@ -0,0 +1,30 @@ +## Ollama + +# INFERENCE_BASE_URL=http://:11434/v1 +# INFERENCE_API_KEY=YOUR-API-KEY +# INFERENCE_MODEL_NAME=openai/qwen3:8b + +## watsonx.ai + +INFERENCE_BASE_URL=https://us-south.ml.cloud.ibm.com +INFERENCE_API_KEY= +INFERENCE_MODEL_NAME=watsonx/meta-llama/llama-3-3-70b-instruct +INFERENCE_PROJECT_ID= + +AGENT_CITY_SELECTION_URL=http://0.0.0.0:5610 +AGENT_CITY_SELECTION_NAME=City_Selection_Expert + +AGENT_BUDGET_PLANNER_URL=http://0.0.0.0:5620 +AGENT_BUDGET_PLANNER_NAME=Budget_Planner + +AGENT_CITY_EXPERT_URL=http://0.0.0.0:5630 +AGENT_CITY_EXPERT_NAME=City_Expert + +AGENT_HOTEL_PLANNER_URL=http://0.0.0.0:5640 +AGENT_HOTEL_PLANNER_NAME=Hotel_Planner + +AGENT_FLIGHT_PLANNER_URL=http://0.0.0.0:5650 +AGENT_FLIGHT_PLANNER_NAME=Flight_Planner + +AGENT_ITINERARY_PLANNER_URL=http://0.0.0.0:5660 +AGENT_ITINERARY_PLANNER_NAME=Itinerary_Planner diff --git a/acp-agents/agents/travel_concierge_agent/.gitignore b/acp-agents/agents/travel_concierge_agent/.gitignore new file mode 100644 index 000000000..9aa0060d3 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/.gitignore @@ -0,0 +1,13 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +.mypy_cache +.coverage +.python-version + +# Virtual environments +.venv diff --git a/acp-agents/agents/travel_concierge_agent/Dockerfile b/acp-agents/agents/travel_concierge_agent/Dockerfile new file mode 100644 index 000000000..c8c0ac813 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/Dockerfile @@ -0,0 +1,49 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --reinstall --frozen --no-cache --no-dev + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5600} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50 --header server:acp diff --git a/acp-agents/agents/travel_concierge_agent/README.md b/acp-agents/agents/travel_concierge_agent/README.md new file mode 100644 index 000000000..aabf54264 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/README.md @@ -0,0 +1,9 @@ +# Travel Concierge Agent + +```sh +source .venv/bin/activate +``` + +```sh +uv run main.py +``` diff --git a/acp-agents/agents/travel_concierge_agent/classes/task.py b/acp-agents/agents/travel_concierge_agent/classes/task.py new file mode 100644 index 000000000..d602146e2 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/classes/task.py @@ -0,0 +1,58 @@ +from dotenv import load_dotenv +from litellm import completion +from pydantic import BaseModel + +from schemas import Model + +load_dotenv() + + +class Task: + def __init__(self, model: Model, system_prompt: str = None, output_type: BaseModel = None): + self.model = model + self.system_prompt = system_prompt + self.output_type = output_type + + async def run(self, user_prompt: str, retry: int = 0): + if retry > 4: + return None + + messages = [] + + if self.system_prompt: + messages.append( + { + "content": self.system_prompt, + "role": "system", + } + ) + + messages.append( + { + "content": user_prompt, + "role": "user", + } + ) + + response = completion( + base_url=self.model.base_url, + api_key=self.model.api_key, + model=self.model.model, + messages=messages, + project_id=self.model.project_id, + extra_body={ + "response_format": { + "type": "json_schema", + "json_schema": { + "name": "response-schema", + "strict": True, + "schema": self.output_type.model_json_schema(), + }, + } + }, + ) + + try: + return self.output_type.model_validate_json(response.choices[0].message.content, strict=False) + except Exception: + return await self.run(user_prompt=user_prompt, retry=retry + 1) diff --git a/acp-agents/agents/travel_concierge_agent/frontend/__init__.py b/acp-agents/agents/travel_concierge_agent/frontend/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/travel_concierge_agent/frontend/landing_page.py b/acp-agents/agents/travel_concierge_agent/frontend/landing_page.py new file mode 100644 index 000000000..1417280ed --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/frontend/landing_page.py @@ -0,0 +1,57 @@ +from fastapi.responses import HTMLResponse + + +def render_landing_page(name: str): + html_content = f""" + + + + {name} + + + +
+ +

{name}

+ + + """ + + return HTMLResponse(content=html_content) diff --git a/acp-agents/agents/travel_concierge_agent/main.py b/acp-agents/agents/travel_concierge_agent/main.py new file mode 100644 index 000000000..ea89598d0 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/main.py @@ -0,0 +1,194 @@ +import json +import warnings +from collections.abc import AsyncGenerator + +import uvicorn +from acp_sdk.models import Message +from acp_sdk.server import Context, RunYield, RunYieldResume, agent, create_app +from dotenv import load_dotenv +from fastapi.responses import HTMLResponse + +from frontend.landing_page import render_landing_page +from sub_agents.extract_agent import extract_agent +from utils import get_budget_breakdown, get_city_selection, get_flight_options, get_hotel_options, get_itinerary, get_travel_guide + +warnings.filterwarnings("ignore") + +load_dotenv() + +AGENT_NAME = "Travel_Concierge" +AGENT_DESCRIPTION = "Travel Concierge โ€” a specialist in travel planning and logistics." + + +def summarize_field(icon, label, value, not_defined=False): + if not_defined or not value: + return f"- {icon} {label}: Not defined \n" + return f"- {icon} {label}: {value} \n" + + +MAX_RETRIES = 3 +RETRY_DELAY_SECONDS = 2 + + +@agent(name=AGENT_NAME, description=AGENT_DESCRIPTION) +async def travel_concierge_agent(input: list[Message], context: Context) -> AsyncGenerator[RunYield, RunYieldResume]: + user_input = input[0].parts[0].content or "" + + yield "๐Ÿ’ก I'm analyzing your request ... " + yield "" + + """ Extract key information """ + + extracted_info = await extract_agent.run(user_input) + + travel_origin, travel_destinations, travel_period, traveler_interests, traveler_preferences, travel_budget = ( + extracted_info.get("origin"), + extracted_info.get("destinations"), + extracted_info.get("period"), + extracted_info.get("interests"), + extracted_info.get("preferences"), + extracted_info.get("budget"), + ) + + destinations = [f"{destination.city} ({destination.country})" for destination in travel_destinations.cities] + + yield "๐Ÿš€ I'm going to plan an itinerary based on the following information: " + + travel_origin_summary = summarize_field("๐Ÿ ", "Travel origin", f"{travel_origin.city} ({travel_origin.country})", travel_origin.not_defined) + travel_destinations_summary = summarize_field("๐ŸŒ†", "Travel destination(s)", ", ".join(destinations), len(destinations) == 0) + travel_period_summary = summarize_field("๐Ÿ“…", "Travel period", f"{travel_period.from_date} - {travel_period.to_date} ({travel_period.nights} nights)", traveler_preferences.not_defined) + traveler_interests_summary = summarize_field("๐Ÿšฃ", "Travel interests", ", ".join(traveler_interests.list), traveler_preferences.not_defined) + traveler_preferences_summary = summarize_field("๐ŸŽŠ", "Travel preferences", ", ".join(traveler_preferences.list), traveler_preferences.not_defined) + travel_budget_summary = summarize_field("๐Ÿ’ฐ", "Travel budget", f"{travel_budget.min} - {travel_budget.max} ({travel_budget.currency})", travel_budget.not_defined) + + list = [ + travel_origin_summary, + travel_destinations_summary, + travel_period_summary, + traveler_interests_summary, + traveler_preferences_summary, + travel_budget_summary, + ] + + yield " ".join(list) + "\n\n" + yield "๐Ÿค– My team of agents is now planning your trip ... " + + if len(destinations) == 0: + yield "๐Ÿค– My team couldn't find a destination based on your request, please try again " + return + elif len(destinations) > 1: + yield "\n\n" + yield "๐Ÿค– We see that you have given us multiple travel destinations, we will pick the ideal destination for you. " + yield "๐Ÿค– I'm handing off the planning to my colleague, the ๐Ÿค– City Selection agent. " + + """ CIT SELECTION AGENT """ + city_selection = await get_city_selection(travel_origin, travel_destinations, travel_period, traveler_interests, traveler_preferences, travel_budget) + + destination = f"{city_selection.get('location').get('city')}, {city_selection.get('location').get('country')}" + destination_json = city_selection.get("location") + + yield f"๐Ÿค– The City Selection agent has a recommendation for you. The selected travel destination for you is {destination} " + yield f"{city_selection.get('report').strip().strip('`')} " + else: + destination = destinations[0] + destination_json = travel_destinations.cities[0].model_dump() + + yield "๐Ÿค– I'm handing off the planning to my colleague, the Budget planner agent. " + + """ BUDGET AGENT """ + budget_breakdown = await get_budget_breakdown(travel_budget, travel_period) + budget_breakdown_json = json.loads(budget_breakdown) + + budget_flights = budget_breakdown_json.get("flights") + budget_hotel = budget_breakdown_json.get("accommodation") + + budget_breakdown_chunks = [] + + budget_breakdown_chunks.append(f"### Budget: {budget_breakdown_json.get('total')} {travel_budget.currency} \n") + + for key, value in budget_breakdown_json.items(): + if key != "total": + budget_breakdown_chunks.append(f"- {key.replace('_', ' ').title()}: {value} {travel_budget.currency} \n") + + budget_breakdown_chunks.append(" \n") + + yield f"""--- + \n## Travel budget breakdown suggestions + + \n{"".join(budget_breakdown_chunks)} + \n\n--- + """ + + yield f"๐Ÿค– I'm handing off the planning to my colleague, the City Expert agent to plan your trip to {destination}. " + + """ CITY EXPERT AGENT """ + travel_guide = await get_travel_guide(destination_json, travel_budget) + + yield f"๐Ÿค– The City Expert agent has created the following travel guide for {destination}. " + yield f"{travel_guide.strip().strip('`')} " + + yield "๐Ÿค– We are now looking for hotels ... " + + travel_budget_hotel = travel_budget.model_dump() + del travel_budget_hotel["min"] + travel_budget_hotel["max"] = budget_hotel + + """ HOTEL PLANNER AGENT """ + hotel_options = await get_hotel_options(destination_json, travel_period, travel_budget_hotel) + + yield "๐Ÿค– The Hotel agent has found the following hotel information for you ..." + yield f"""\n{hotel_options.strip().strip("`")} """ + yield "๐Ÿค– We are now looking for flights ... " + + travel_budget_flights = travel_budget.model_dump() + del travel_budget_flights["min"] + travel_budget_flights["max"] = budget_flights + + """ FLIGHT PLANNER AGENT """ + flight_options = await get_flight_options(travel_origin, destination_json, travel_period, travel_budget_flights) + + yield "๐Ÿค– The Flight agent has found the following flight information for you ... " + yield f"""\n{flight_options.strip().strip("`")} """ + yield "๐Ÿค– We are creating an itinerary for you now ... " + + """ ITINERARY PLANNER AGENT """ + itinerary = await get_itinerary(travel_guide, hotel_options, flight_options) + + yield "๐Ÿค– Here is your itinerary: " + yield f"{itinerary.strip().strip('`')} " + + yield "๐Ÿค– Let me know if you want me to plan another trip." + + # TODO: Save itinerary in COS bucket (MCP) + + +app = create_app( + travel_concierge_agent, + dependencies=[], +) + + +@app.get( + "/", + response_class=HTMLResponse, + include_in_schema=False, +) +async def landing_page(): + return render_landing_page(name=AGENT_NAME) + + +def main(): + uvicorn.run( + "main:app", + host="0.0.0.0", + port=5600, + workers=1, + log_level="info", + headers=[("server", "acp")], + reload=True, + loop="uvloop", + ) + + +if __name__ == "__main__": + main() diff --git a/acp-agents/agents/travel_concierge_agent/pyproject.toml b/acp-agents/agents/travel_concierge_agent/pyproject.toml new file mode 100644 index 000000000..bbee2f0e8 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "travel-concierge-agent" +version = "0.0.1" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "fastapi>=0.115.12", + "pydantic-ai>=0.2.6", + "python-dotenv>=1.1.0", + "uvicorn>=0.34.2", +] + +[dependency-groups] +dev = ["ruff>=0.11.10"] diff --git a/acp-agents/agents/travel_concierge_agent/ruff.toml b/acp-agents/agents/travel_concierge_agent/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/agents/travel_concierge_agent/schemas.py b/acp-agents/agents/travel_concierge_agent/schemas.py new file mode 100644 index 000000000..e82682aff --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/schemas.py @@ -0,0 +1,61 @@ +from datetime import date, datetime +from typing import Annotated, List + +from pydantic import BaseModel, Field, field_validator + + +class Model(BaseModel): + base_url: Annotated[str, Field()] | None + api_key: Annotated[str, Field()] | None = "DEFAULT" + model: Annotated[str, Field()] | None = "watsonx/ibm/granite-3-3-8b-instruct" + project_id: Annotated[str, Field()] | None = "DEFAULT" + + +class CityLocation(BaseModel): + city: str + country: str + not_defined: bool + + +class CityList(BaseModel): + cities: List[CityLocation] + not_defined: bool + + +class TravelorInterests(BaseModel): + list: List[str] + not_defined: bool + + +class TravelorPreferences(BaseModel): + list: List[str] + not_defined: bool + + +class TravelBuget(BaseModel): + min: int | float + max: int | float + currency: str + currency_symbol: str + not_defined: bool + + +class TravelPeriod(BaseModel): + from_date: date + to_date: date + nights: int + not_defined: bool + + @field_validator("from_date", "to_date", mode="before") + @classmethod + def ensure_date_format(cls, v): + if isinstance(v, date): + return v + return datetime.strptime(v, "%Y-%m-%d").date() + + def to_dict_formatted(self): + return { + "from_date": self.from_date.strftime("%Y-%m-%d"), + "to_date": self.to_date.strftime("%Y-%m-%d"), + "nights": self.night, + } diff --git a/acp-agents/agents/travel_concierge_agent/sub_agents/__init__.py b/acp-agents/agents/travel_concierge_agent/sub_agents/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/acp-agents/agents/travel_concierge_agent/sub_agents/extract_agent.py b/acp-agents/agents/travel_concierge_agent/sub_agents/extract_agent.py new file mode 100644 index 000000000..6e3666443 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/sub_agents/extract_agent.py @@ -0,0 +1,76 @@ +# from crewai import Agent +import logging + +from tasks.extract_travel_budget import extract_travel_budget +from tasks.extract_travel_destinations import extract_travel_destinations +from tasks.extract_travel_origin import extract_travel_origin +from tasks.extract_travel_period import extract_travel_period +from tasks.extract_traveler_interests import extract_traveler_interests +from tasks.extract_traveler_preferences import extract_traveler_preferences + +logger = logging.getLogger(__name__) + + +class ExtractAgent: + async def run(self, user_prompt: str) -> dict: + travel_origin = await extract_travel_origin.run(f""" + Extract only the **travel origin** โ€” the city or location where the user is starting their trip. + Do **not** include destinations, dates, budget, interests, or preferences. Return only the departure location. + + User input: {user_prompt} + """) + + travel_destinations = await extract_travel_destinations.run(f""" + Extract the destination or destinations the user wants to travel to. + Do not include the travel origin: {travel_origin}. + Only return the destination(s), and ignore dates, interests, and other preferences. + + User input: {user_prompt} + """) + + travel_period = await extract_travel_period.run(f""" + Extract the travel period, including the start date and duration or end date, from the user's input. + If only duration or start date is given, extract what's available. + Ignore the travel origin, destination, and any preferences. + + User input: {user_prompt} + """) + + travel_budget = await extract_travel_budget.run(f""" + Extract the user's travel budget from the input. This can be a price range, a general category (e.g., budget, mid-range, luxury), or both. + Ignore any information about travel dates, origin, destination, or personal interests. + + User input: {user_prompt} + """) + + traveler_preferences = await extract_traveler_preferences.run(f""" + Extract the user's travel preferences from the input. + + **Preferences** describe *how* the person likes to travelโ€”such as accommodation style, budget, travel pace, food preferences, transportation choices, and things to avoid. + Do not include interests, destinations, travel dates, or origin. + + User input: {user_prompt} + """) + + traveler_interests = await extract_traveler_interests.run(f""" + Extract the user's travel interests from the input. + + **Interests** describe *what* the person wants to explore or experienceโ€”such as topics, themes, or activities they are curious or passionate about (e.g., history, sightseeing, technology, hiking, food tours). + + Exclude preferences (like accommodation type, food restrictions, pace of travel, or things to avoid), and also exclude origin, destination, dates, and budget. + + Previously extracted preferences: {", ".join(traveler_preferences.list)} + User input: {user_prompt} + """) + + return { + "origin": travel_origin, + "destinations": travel_destinations, + "period": travel_period, + "budget": travel_budget, + "preferences": traveler_preferences, + "interests": traveler_interests, + } + + +extract_agent = ExtractAgent() diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_budget.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_budget.py new file mode 100644 index 000000000..8c65753a8 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_budget.py @@ -0,0 +1,18 @@ +import os + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import TravelBuget + +load_dotenv() + +extract_travel_budget = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + output_type=TravelBuget, +) diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_destinations.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_destinations.py new file mode 100644 index 000000000..1b0845e3d --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_destinations.py @@ -0,0 +1,18 @@ +import os + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import CityList + +load_dotenv() + +extract_travel_destinations = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + output_type=CityList, +) diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_origin.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_origin.py new file mode 100644 index 000000000..7320849a2 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_origin.py @@ -0,0 +1,18 @@ +import os + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import CityLocation + +load_dotenv() + +extract_travel_origin = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + output_type=CityLocation, +) diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_period.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_period.py new file mode 100644 index 000000000..ee9b7feed --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_travel_period.py @@ -0,0 +1,20 @@ +import os +from datetime import datetime + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import TravelPeriod + +load_dotenv() + +extract_travel_period = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + system_prompt=f"You are an expert in extracting the travel period from a user request. Stop and think about whether all necessary informationโ€”such as the yearโ€”is available. If not, use the current year {datetime.now().year} and fill in any missing details. Today is {datetime.now()}.", + output_type=TravelPeriod, +) diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_interests.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_interests.py new file mode 100644 index 000000000..73a3ff8b8 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_interests.py @@ -0,0 +1,19 @@ +import os + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import TravelorInterests + +load_dotenv() + +extract_traveler_interests = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + system_prompt="You are an expert in extracting the traveler interests. Extract the interests that the user explicitly mentioned.", + output_type=TravelorInterests, +) diff --git a/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_preferences.py b/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_preferences.py new file mode 100644 index 000000000..a5a8f3dd9 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/tasks/extract_traveler_preferences.py @@ -0,0 +1,19 @@ +import os + +from dotenv import load_dotenv + +from classes.task import Model, Task +from schemas import TravelorPreferences + +load_dotenv() + +extract_traveler_preferences = Task( + model=Model( + base_url=os.getenv("INFERENCE_BASE_URL"), + api_key=os.getenv("INFERENCE_API_KEY", ""), + model=os.getenv("INFERENCE_MODEL_NAME"), + project_id=os.getenv("INFERENCE_PROJECT_ID"), + ), + system_prompt="Extract what the user prefers to do, but ONLY if the user EXPLICITLY mentioned if he or she actually would prefer something. Don't include travel dates, budget or travel orgin or travel destination(s)", + output_type=TravelorPreferences, +) diff --git a/acp-agents/agents/travel_concierge_agent/utils.py b/acp-agents/agents/travel_concierge_agent/utils.py new file mode 100644 index 000000000..d66b43a75 --- /dev/null +++ b/acp-agents/agents/travel_concierge_agent/utils.py @@ -0,0 +1,182 @@ +import asyncio +import json +import os + +from acp_sdk.client import Client +from acp_sdk.models import Message + +MAX_RETRIES = 3 +RETRY_DELAY_SECONDS = 2 + + +async def run_agent(agent_url: str, agent_name: str, input: str) -> list[Message]: + async with Client(base_url=agent_url) as client: + run = await client.run_sync( + agent=agent_name, + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": input, + }, + ] + ) + ], + ) + + return run + + +async def get_hotel_options(destination_json, travel_period, travel_budget_hotel): + for attempt in range(1, MAX_RETRIES + 1): + try: + hotel_planner_response = await run_agent( + agent_url=os.getenv("AGENT_HOTEL_PLANNER_URL"), + agent_name=os.getenv("AGENT_HOTEL_PLANNER_NAME"), + input=json.dumps( + { + "destination": destination_json, + "period": travel_period.model_dump(), + "budget": travel_budget_hotel, + }, + default=str, + ), + ) + + hotel_options = hotel_planner_response.output[0].parts[0].content + return hotel_options # Success + except (IndexError, AttributeError, KeyError, TypeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"Hotel planner agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) + + +async def get_flight_options(travel_origin, destination_json, travel_period, travel_budget_flights): + for attempt in range(1, MAX_RETRIES + 1): + try: + flight_planner_response = await run_agent( + agent_url=os.getenv("AGENT_FLIGHT_PLANNER_URL"), + agent_name=os.getenv("AGENT_FLIGHT_PLANNER_NAME"), + input=json.dumps( + { + "origin": travel_origin.model_dump(), + "destination": destination_json, + "period": travel_period.model_dump(), + "budget": travel_budget_flights, + }, + default=str, + ), + ) + + flight_options = flight_planner_response.output[0].parts[0].content + return flight_options # Success + except (IndexError, AttributeError, KeyError, TypeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"Flight planner agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) + + +async def get_travel_guide(destination_json, travel_budget): + for attempt in range(1, MAX_RETRIES + 1): + try: + city_expert_response = await run_agent( + agent_url=os.getenv("AGENT_CITY_EXPERT_URL"), + agent_name=os.getenv("AGENT_CITY_EXPERT_NAME"), + input=json.dumps( + { + **destination_json, + "currency": travel_budget.currency, + }, + default=str, + ), + ) + + travel_guide = city_expert_response.output[0].parts[0].content + return travel_guide # Success + except (IndexError, AttributeError, KeyError, TypeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"City expert agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) + + +async def get_city_selection( + travel_origin, + travel_destinations, + travel_period, + traveler_interests, + traveler_preferences, + travel_budget, +): + for attempt in range(1, MAX_RETRIES + 1): + try: + city_selection_response = await run_agent( + agent_url=os.getenv("AGENT_CITY_SELECTION_URL"), + agent_name=os.getenv("AGENT_CITY_SELECTION_NAME"), + input=json.dumps( + { + "travel_origin": travel_origin.model_dump(), + "travel_destinations": travel_destinations.model_dump(), + "travel_period": travel_period.model_dump(), + "traveler_interest": traveler_interests.model_dump(), + "traveler_preferences": traveler_preferences.model_dump(), + "travel_budget": travel_budget.model_dump(), + }, + default=str, + ), + ) + + content = city_selection_response.output[0].parts[0].content + city_selection = json.loads(content) + return city_selection # Success + except (IndexError, AttributeError, KeyError, TypeError, json.JSONDecodeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"City selection agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) + + +async def get_itinerary(travel_guide, hotel_options, flight_options): + for attempt in range(1, MAX_RETRIES + 1): + try: + itinerary_planner_response = await run_agent( + agent_url=os.getenv("AGENT_ITINERARY_PLANNER_URL"), + agent_name=os.getenv("AGENT_ITINERARY_PLANNER_NAME"), + input=json.dumps( + { + "travel_guide": travel_guide, + "hotel_options": hotel_options, + "flight_options": flight_options, + }, + default=str, + ), + ) + + itinerary = itinerary_planner_response.output[0].parts[0].content + return itinerary # Success + except (IndexError, AttributeError, KeyError, TypeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"Itinerary planner agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) + + +async def get_budget_breakdown(travel_budget, travel_period): + for attempt in range(1, MAX_RETRIES + 1): + try: + budget_planner_response = await run_agent( + agent_url=os.getenv("AGENT_BUDGET_PLANNER_URL"), + agent_name=os.getenv("AGENT_BUDGET_PLANNER_NAME"), + input=json.dumps( + { + "travel_budget": travel_budget.model_dump(), + "travel_period": travel_period.model_dump(), + }, + default=str, + ), + ) + + budget_breakdown = budget_planner_response.output[0].parts[0].content + return budget_breakdown # Success + except (IndexError, AttributeError, KeyError, TypeError) as e: + if attempt == MAX_RETRIES: + raise RuntimeError(f"Budget planner agent failed after {MAX_RETRIES} attempts") from e + await asyncio.sleep(RETRY_DELAY_SECONDS) diff --git a/acp-agents/agents/travel_concierge_agent/uv.lock b/acp-agents/agents/travel_concierge_agent/uv.lock new file mode 100644 index 000000000..948c04215 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a/acp-agents/clients/budget-planner-agent.py b/acp-agents/clients/budget-planner-agent.py new file mode 100644 index 000000000..bc0377857 --- /dev/null +++ b/acp-agents/clients/budget-planner-agent.py @@ -0,0 +1,48 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +prompt = json.dumps( + { + "travel_budget": { + "min": 1000, + "max": 1800, + "currency": "EUR", + "currency_symbol": "โ‚ฌ", + }, + "travel_period": { + "from_date": "2025-07-02", + "to_date": "2025-07-11", + }, + } +) + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5620", + headers={}, + ) as client: + async for event in client.run_stream( + agent="Budget_Planner", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": prompt, + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/city-expert-agent.py b/acp-agents/clients/city-expert-agent.py new file mode 100644 index 000000000..e6a386e83 --- /dev/null +++ b/acp-agents/clients/city-expert-agent.py @@ -0,0 +1,40 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +prompt = json.dumps( + { + "city": "Oslo", + "country": "Norway", + } +) + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5630", + headers={}, + ) as client: + async for event in client.run_stream( + agent="City_Expert", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": prompt, + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/city-selection-agent.py b/acp-agents/clients/city-selection-agent.py new file mode 100644 index 000000000..865903dc3 --- /dev/null +++ b/acp-agents/clients/city-selection-agent.py @@ -0,0 +1,53 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +prompt = json.dumps( + { + "travel_origin": {"city": "Stuttgart", "country": "Germany"}, + "travel_destinations": { + "cities": [ + {"city": "Oslo", "country": "Norway"}, + {"city": "Berlin", "country": "Germany"}, + {"city": "Prague", "country": "Czech Republic"}, + {"city": "Vienna", "country": "Austria"}, + {"city": "Paris", "country": "France"}, + {"city": "Stockholm", "country": "Sweden"}, + ] + }, + "travel_period": {"from_date": "2025-07-02", "to_date": "2025-07-11"}, + "traveler_interest": {"list": ["sightseeing", "coffee", "family hotel", "restaurants", "activities with kids", "technology trends"]}, + "traveler_preferences": {"list": ["prefers historical sites", "enjoys local cuisine", "avoids crowded tourist traps"]}, + "travel_budget": {"min": "1000", "max": "1800", "currency": "EUR", "currency_symbol": "\u20ac"}, + } +) + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5610", + headers={}, + ) as client: + async for event in client.run_stream( + agent="City_Selection_Expert", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": prompt, + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/flight-planner-agent.py b/acp-agents/clients/flight-planner-agent.py new file mode 100644 index 000000000..a53e97e40 --- /dev/null +++ b/acp-agents/clients/flight-planner-agent.py @@ -0,0 +1,56 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +prompt = json.dumps( + { + "origin": { + "city": "Stuttgart", + "country": "Germany", + }, + "destination": { + "city": "Oslo", + "country": "Norway", + }, + "period": { + "from_date": "2025-07-02", + "to_date": "2025-07-11", + }, + "budget": { + "min": "1000", + "max": "1800", + "currency": "EUR", + "currency_symbol": "โ‚ฌ", + }, + } +) + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5650", + headers={}, + ) as client: + async for event in client.run_stream( + agent="Flight_Planner", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": prompt, + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/hotel-planner-agent.py b/acp-agents/clients/hotel-planner-agent.py new file mode 100644 index 000000000..8c983f6b0 --- /dev/null +++ b/acp-agents/clients/hotel-planner-agent.py @@ -0,0 +1,52 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +prompt = json.dumps( + { + "destination": { + "city": "Oslo", + "country": "Norway", + }, + "period": { + "from_date": "2025-07-02", + "to_date": "2025-07-11", + }, + "budget": { + "min": "1000", + "max": "1800", + "currency": "EUR", + "currency_symbol": "โ‚ฌ", + }, + } +) + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5640", + headers={}, + ) as client: + async for event in client.run_stream( + agent="Hotel_Planner", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": prompt, + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/itinerary-planner-agent.py b/acp-agents/clients/itinerary-planner-agent.py new file mode 100644 index 000000000..937382f46 --- /dev/null +++ b/acp-agents/clients/itinerary-planner-agent.py @@ -0,0 +1,141 @@ +import asyncio +import json + +from acp_sdk.client import Client +from acp_sdk.models import Message + +travel_guide = """ + # Oslo, Norway: The Ultimate Travel Guide for an Unforgettable Experience + + ## ๐ŸŒ† Key Attractions: Must-Visit Landmarks + - **Oslo Opera House** (Norwegian: Oslo Operaen): Iconic architecture with panoramic views of the city. Free guided tours available. Admission to the concert hall: ~150 NOK. + - **Viking Ship Museum** (Vikingeskibsmuseet): Home to the Oseberg and Gokstad ships. Interactive exhibits and a reconstructed Viking village. Admission: ~120 NOK. + - **Royal Palace (Kongehuset)**: Explore the official residence of the King of Norway. Free entry, but book tickets for the Crown Prince's Apartment (150 NOK). + - **Bygdรธy Archipelago**: A UNESCO World Heritage Site with museums like the Norwegian Museum of Cultural History and the Fram Museum (Polar exploration history). Boat tours from Oslo harbor: ~300 NOK. + + ## ๐ŸŒฟ Hidden Gems: Off-the-Beaten-Path Experiences + - **Vigeland Sculpture Park** (Vigelandsparken): Wander through 212 sculptures by Gustav Vigeland. Free entry, but timed tickets required (book in advance). + - **Oslo Spektrum**: A cultural hub with the Oslo Philharmonic Orchestra, the Oslo Cathedral, and the Oslo City Library. Free to explore the library's architecture. + - **Grรผnerlรธkka**: A bohemian neighborhood with indie cafes, vintage shops, and the Oslo Jazz House (host to local musicians). Try *Kaffรฉhuset* for a cozy coffee spot. + - **Holtet**: A hidden garden in the heart of Oslo with seasonal events like the *Holtet Summer Festival* (June). + + ## ๐ŸŽจ Cultural Hotspots: Art & History + - **Munch Museum** (Munchmuseet): Home to *The Scream* and Edvard Munch's works. Admission: ~150 NOK. Book tickets online to avoid long lines. + - **Norwegian National Gallery** (Nasjonalgalleriet): Free entry to the main building, but pay for the *Munch Museum* (see above). + - **The Oslo Cathedral** (Oslo Domkirke): A stunning example of medieval architecture. Free entry, but climb the tower for views (100 NOK). + - **The Oslo City Hall** (Rรฅdhuset): Iconic architecture with a rotating sculpture garden. Free to visit. + + ## ๐ŸŽ‰ Special Events & Festivals + - **Oslo Jazz Festival** (June): World-class jazz performances in venues like the *Cullman Hall* and *Oslo Spektrum*. + - **Oslo International Film Festival** (February): A hub for Nordic cinema and global indie films. + - **Northern Lights (December-February)**: Take a fjord cruise or hike to remote spots like *Svelvik* for aurora viewing. Tours start at ~1,500 NOK. + - **Constitution Day (May 17)**: Celebrate Norway's independence with parades, fireworks, and the *King's Speech* at the Royal Palace. + + ## ๐Ÿฝ๏ธ Dining: Local Flavors & Hidden Restaurants + - **Smรธrbrรธd & Lutefisk**: Try *Smรธrbrรธd & Lutefisk* in the *Oslo Fish Market* for traditional dishes. Prices: ~200-300 NOK per meal. + - **Rakfisk & Skaldur**: A modern take on Nordic cuisine at *Rakfisk & Skaldur* in Grรผnerlรธkka. Reservations recommended. + - **Cafรฉs & Bakeries**: *Kaffรฉhuset* (Grรผnerlรธkka) for coffee, *Bakken* (city center) for pastries, and *Kveldskafe* (Norwegian for "evening cafรฉ") for a cozy vibe. + - **Street Food**: *Fisketorget* (Oslo Fish Market) offers fresh seafood and grilled salmon. Prices: ~150-250 NOK. + + ## ๐Ÿš‡ Transport & Practical Tips + - **Public Transport**: Oslo's buses, trams, and metro are efficient. Purchase an *Oslo Pass* (1,200 NOK for 3 days) for unlimited travel. + - **Biking**: Rent a bike from *Oslo Bycykling* (150 NOK/day) and explore the city's bike paths. + - **Safety**: Oslo is very safe, but keep valuables secure. Avoid walking alone in isolated areas at night. + - **Budgeting**: Average daily cost: ~1,500-2,500 NOK (accommodation, meals, and activities). + + ## ๐Ÿจ Accommodation: Where to Stay + - **Budget**: *Hostel Oslo* (city center, ~500 NOK/night) or *Huset i Oslo* (hostel with a rooftop bar). + - **Mid-Range**: *Hotel Grand Continental* (historic hotel near the Royal Palace, ~1,200 NOK/night) or *Scandic Oslo City* (modern design, ~1,500 NOK/night). + - **Luxury**: *Hotel Radisson Blu Oslo* (waterfront view, ~2,500 NOK/night) or *The Grand Hotel* (historic elegance, ~3,000 NOK/night). + + ## ๐ŸŒก๏ธ Weather & Seasonal Tips + - **Summer (June-August)**: Mild weather (15-25ยฐC). Ideal for hiking in the *Oslofjord* or visiting the *Vigeland Park*. + - **Winter (December-February)**: Cold (-5ยฐC to 0ยฐC). Perfect for Northern Lights tours or skiing in *Hemsedal* (book trips in advance). + - **Spring/Fall**: Variable weather. Pack layers and visit during the *Oslo Jazz Festival* (June) or *Oslo International Film Festival* (February). + + ## ๐Ÿ“Œ Final Tips + - **Etiquette**: Greet with a handshake or a nod. Avoid loud conversations in public spaces. + - **Tipping**: Not common, but round up bills for small services (e.g., 100 NOK instead of 95 NOK). + - **Language**: Norwegian is spoken, but English is widely understood in tourist areas. + + Oslo is a city of contrastsโ€”where modern architecture meets nature, and history blends with innovation. With this guide, you'll uncover its hidden stories, savor its flavors, and experience the soul of Norway's capital. Safe travels! ๐ŸŒโœจ +""" + +hotel_options = """ +| Hotel Name | Price Range | Location | Rating | +|------------------|--------------|----------------------|----------| +| The Bo Hotel | โ‚ฌ58 per night| Vasastan, Stockholm | 4.4/5 | +| Hotel At Six | โ‚ฌ58 per night| Stockholm | 4.5/5 | +| Scandic 53 | โ‚ฌ65 per night| Stockholm | 4.3/5 | +""" + +flight_options = """ +**Lufthansa - Total Price: 398 EUR** + +| Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | +|----------|------------|------------|-------------------|-------------------|----------------|----------|--------| +| Outbound | Stuttgart | Stockholm | 2025-08-10 08:30 | 2025-08-10 11:30 | LH1234 | 3h00m | Yes | +| Return | Stockholm | Stuttgart | 2025-08-16 17:15 | 2025-08-16 20:15 | LH5678 | 3h00m | Yes | + +**Air France - Total Price: 405 EUR** + +| Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | +|----------|------------|------------|-------------------|-------------------|----------------|----------|--------| +| Outbound | Stuttgart | Stockholm | 2025-08-10 12:15 | 2025-08-10 15:15 | AF9876 | 3h00m | Yes | +| Return | Stockholm | Stuttgart | 2025-08-16 14:50 | 2025-08-16 17:50 | AF1234 | 3h00m | Yes | + +**SAS - Total Price: 402 EUR** + +| Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | +|----------|------------|------------|-------------------|-------------------|----------------|----------|--------| +| Outbound | Stuttgart | Stockholm | 2025-08-10 14:00 | 2025-08-10 17:00 | SK5555 | 3h00m | Yes | +| Return | Stockholm | Stuttgart | 2025-08-16 10:30 | 2025-08-16 13:30 | SK6677 | 3h00m | Yes | + +**Swiss International Air Lines - Total Price: 410 EUR** + +| Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | +|----------|------------|------------|-------------------|-------------------|----------------|----------|--------| +| Outbound | Stuttgart | Stockholm | 2025-08-10 09:45 | 2025-08-10 12:45 | LX8888 | 3h00m | Yes | +| Return | Stockholm | Stuttgart | 2025-08-16 16:20 | 2025-08-16 19:20 | LX7777 | 3h00m | Yes | + +**Ryanair - Total Price: 385 EUR** + +| Segment | From | To | Departure | Arrival | Flight Number | Duration | Direct | +|----------|------------|------------|-------------------|-------------------|----------------|----------|--------| +| Outbound | Stuttgart | Stockholm | 2025-08-10 10:00 | 2025-08-10 13:00 | FR1111 | 3h00m | Yes | +| Return | Stockholm | Stuttgart | 2025-08-16 15:45 | 2025-08-16 18:45 | FR2222 | 3h00m | Yes | +""" + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5660", + headers={}, + ) as client: + async for event in client.run_stream( + agent="Itinerary_Planner", + input=[ + Message( + parts=[ + { + "content_type": "application/json", + "content": json.dumps( + { + "travel_guide": travel_guide, + "hotel_options": hotel_options, + "flight_options": flight_options, + } + ), + }, + ] + ) + ], + ): + try: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/clients/travel-concierge-agent.py b/acp-agents/clients/travel-concierge-agent.py new file mode 100644 index 000000000..70ad5dab7 --- /dev/null +++ b/acp-agents/clients/travel-concierge-agent.py @@ -0,0 +1,31 @@ +import asyncio + +from acp_sdk.client import Client +from acp_sdk.models import Message, MessagePart + +prompt = "Create a trip from Stuttgart, Germany to either Oslo, Berlin, Prague, Vienna, Paris or Stockholm from August 10 for 6 days. I'm interested in sightseeing, coffee, family hotel, restaurants, activities with kids and technology trends. My budget is Mid-range (โ‚ฌ1000-โ‚ฌ1800) and I prefer historical sites, local cuisine, and avoiding crowded tourist traps" +# prompt = "Create a trip from Stuttgart to Oslo from August 10 for 6 days. I'm interested in sightseeing, coffee, family hotel, restaurants, activities with kids and technology trends. My budget is Mid-range (โ‚ฌ1000-โ‚ฌ1800) and I prefer historical sites, local cuisine, and avoiding crowded tourist traps" + + +async def main() -> None: + async with Client( + base_url="http://0.0.0.0:5600", + headers={}, + ) as client: + async for event in client.run_stream( + agent="Travel_Concierge", + input=[Message(parts=[MessagePart(content=prompt)])], + ): + try: + if event.type == "generic": + if event.generic.reasoning: + print("event", event.generic.reasoning) + + else: + print(event.part.content, end="", flush=True) + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/container-compose.yml b/acp-agents/container-compose.yml new file mode 100644 index 000000000..32f6aa62b --- /dev/null +++ b/acp-agents/container-compose.yml @@ -0,0 +1,126 @@ +services: + travel-concierge-agent: + build: ./agents/travel_concierge_agent + image: travel-concierge-agent:0.0.1 + platform: linux/amd64 + ports: + - "5600:5600" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + - AGENT_CITY_SELECTION_URL=http://city-selection-agent:5610 + - AGENT_CITY_SELECTION_NAME=City_Selection_Expert + - AGENT_BUDGET_PLANNER_URL=http://budget-planner-agent:5620 + - AGENT_BUDGET_PLANNER_NAME=Budget_Planner + - AGENT_CITY_EXPERT_URL=http://city-expert-agent:5630 + - AGENT_CITY_EXPERT_NAME=City_Expert + - AGENT_HOTEL_PLANNER_URL=http://hotel-planner-agent:5640 + - AGENT_HOTEL_PLANNER_NAME=Hotel_Planner + - AGENT_FLIGHT_PLANNER_URL=http://flight-planner-agent:5650 + - AGENT_FLIGHT_PLANNER_NAME=Flight_Planner + - AGENT_ITINERARY_PLANNER_URL=http://itinerary-planner-agent:5660 + - AGENT_ITINERARY_PLANNER_NAME=Itinerary_Planner + + networks: + - travel-agency-network + + city-selection-agent: + build: ./agents/city_selection_agent + image: city-selection-agent:0.0.1 + platform: linux/amd64 + ports: + - "5610:5610" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + budget-planner-agent: + build: ./agents/budget_planner_agent + image: budget-planner-agent:0.0.1 + platform: linux/amd64 + ports: + - "5620:5620" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + city-expert-agent: + build: ./agents/city_expert_agent + image: city-expert-agent:0.0.1 + platform: linux/amd64 + ports: + - "5630:5630" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + hotel-planner-agent: + build: ./agents/hotel_planner_agent + image: hotel-planner-agent:0.0.1 + platform: linux/amd64 + ports: + - "5640:5640" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + flight-planner-agent: + build: ./agents/flight_planner_agent + image: flight-planner-agent:0.0.1 + platform: linux/amd64 + ports: + - "5650:5650" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + itinerary-planner-agent: + build: ./agents/itinerary_planner_agent + image: itinerary-planner-agent:0.0.1 + platform: linux/amd64 + ports: + - "5660:5660" + environment: + - INFERENCE_BASE_URL=${INFERENCE_BASE_URL} + - INFERENCE_API_KEY=${INFERENCE_API_KEY} + - INFERENCE_MODEL_NAME=${INFERENCE_MODEL_NAME} + - INFERENCE_PROJECT_ID=${INFERENCE_PROJECT_ID} + networks: + - travel-agency-network + + chat: + build: ./ui/chat + image: chat:0.0.1 + platform: linux/amd64 + ports: + - "5555:5555" + environment: + - AGENTS_CATALOG=http://travel-concierge-agent:5600 + networks: + - travel-agency-network + +networks: + travel-agency-network: + driver: bridge diff --git a/acp-agents/pyproject.toml b/acp-agents/pyproject.toml new file mode 100644 index 000000000..7fad0a966 --- /dev/null +++ b/acp-agents/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "acp-multi-agent-code-engine-example" +version = "0.1.0" +description = "Add your description here" +maintainers = [{ name = "Kai Wedekind", email = "kai.wedekind@de.ibm.com" }] +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "crewai[tools]==0.120.1", + "mypy>=1.15.0", + "pre-commit>=4.2.0", + "pydantic-ai>=0.2.6", + "ruff>=0.11.10", +] diff --git a/acp-agents/ruff.toml b/acp-agents/ruff.toml new file mode 100644 index 000000000..30da9c2a9 --- /dev/null +++ b/acp-agents/ruff.toml @@ -0,0 +1,76 @@ +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".local", + ".vscode", + ".cache", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", + "hallucination-detection", + "search-ai", + "nltk_data", + "bin", +] + +# Same as Black. +line-length = 200 +indent-width = 4 + +# Assume Python 3.8 +target-version = "py38" + +[lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = [ + "E4", + "E7", + "E9", + "I", # Import-related issues + "F", # Formatting issues + "Q", # Quote style issues + "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions) +] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[format] +# Like Black, use double quotes for strings. +quote-style = "double" +# quote-style = "single" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" diff --git a/acp-agents/scripts/deploy.sh b/acp-agents/scripts/deploy.sh new file mode 100644 index 000000000..1c655f31a --- /dev/null +++ b/acp-agents/scripts/deploy.sh @@ -0,0 +1,59 @@ +#!/bin/bash + +source .env + +echo "Creating code engine project" +ibmcloud ce project create --name travel-concierge-project + +echo "Selecting code engine project" +ibmcloud ce project select --name travel-concierge-project -k + +NAMESPACE=$(ibmcloud ce project current -o json | jq -r '.kube_config_context') + +# ibmcloud ce app create --name ollama-qwen3 --build-source ./ollama --build-strategy dockerfile --cpu 12 --memory 48G -p 11434 --wait-timeout 3600 --es 48G --min-scale 1 --visibility public + +echo "Creating code engine secret for the agents with parameters from .env file" +ibmcloud ce secret create --name agent-secret --from-literal INFERENCE_BASE_URL="$INFERENCE_BASE_URL" \ +--from-literal INFERENCE_API_KEY="$INFERENCE_API_KEY" \ +--from-literal INFERENCE_MODEL_NAME="$INFERENCE_MODEL_NAME" \ +--from-literal INFERENCE_PROJECT_ID="$INFERENCE_PROJECT_ID" + +echo "Creating code engine configmap for the concierge agent to connect to the other agents" +ibmcloud ce configmap create --name concierge-config \ +--from-literal AGENT_CITY_SELECTION_URL=http://city-selection-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_CITY_SELECTION_NAME="City_Selection_Expert" \ +--from-literal AGENT_BUDGET_PLANNER_URL=http://budget-planner-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_BUDGET_PLANNER_NAME="Budget_Planner" \ +--from-literal AGENT_CITY_EXPERT_URL=http://city-expert-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_CITY_EXPERT_NAME="City_Expert" \ +--from-literal AGENT_HOTEL_PLANNER_URL=http://hotel-planner-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_HOTEL_PLANNER_NAME="Hotel_Planner" \ +--from-literal AGENT_FLIGHT_PLANNER_URL=http://flight-planner-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_FLIGHT_PLANNER_NAME="Flight_Planner" \ +--from-literal AGENT_ITINERARY_PLANNER_URL=http://itinerary-planner-agent.$NAMESPACE.svc.cluster.local \ +--from-literal AGENT_ITINERARY_PLANNER_NAME="Itinerary_Planner" + +echo "Creating code engine applications for agents with private visibility" +ibmcloud ce app create --name budget-planner-agent --env-from-secret agent-secret --build-source ./agents/budget_planner_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait +ibmcloud ce app create --name city-expert-agent --env-from-secret agent-secret --build-source ./agents/city_expert_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait +ibmcloud ce app create --name city-selection-agent --env-from-secret agent-secret --build-source ./agents/city_selection_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait +ibmcloud ce app create --name flight-planner-agent --env-from-secret agent-secret --build-source ./agents/flight_planner_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait +ibmcloud ce app create --name itinerary-planner-agent --env-from-secret agent-secret --build-source ./agents/itinerary_planner_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait +ibmcloud ce app create --name travel-concierge-agent --env-from-secret agent-secret --env-from-configmap concierge-config --build-source ./agents/travel_concierge_agent --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility project --no-wait + +echo "Creating code engine applications for the chat UI with a public endpoint" +ibmcloud ce app create --name travel-concierge-chat --env AGENTS_CATALOG=http://travel-concierge-agent.$NAMESPACE.svc.cluster.local --build-source ./ui/chat --build-strategy dockerfile --cpu 1 --memory 4G -p 8080 --wait-timeout 600 --min-scale 1 --visibility public + +while true; do + ibmcloud ce app list + not_ready_apps=$(ibmcloud ce app list | grep -e "agent" -e "chat" | grep "Not Ready") + if [ "$not_ready_apps" == "" ]; then + break # all apps are ready + fi + echo "Waiting for all applications to be ready (sleep 15s)..." + sleep 15 +done + +echo -e "\nAll applications are ready.\n" +echo "Use the travel-concierge-chat application to chat with the agents:" +ibmcloud ce app get --name travel-concierge-chat -o json | jq -r '.status.url' \ No newline at end of file diff --git a/acp-agents/scripts/undeploy.sh b/acp-agents/scripts/undeploy.sh new file mode 100644 index 000000000..c24a6a0f7 --- /dev/null +++ b/acp-agents/scripts/undeploy.sh @@ -0,0 +1,4 @@ +#!/bin/sh + +echo "Deleting code engine project" +ibmcloud ce project delete --name travel-concierge-project --force --hard --wait \ No newline at end of file diff --git a/acp-agents/ui/chat/.env.example b/acp-agents/ui/chat/.env.example new file mode 100644 index 000000000..fef8aca4c --- /dev/null +++ b/acp-agents/ui/chat/.env.example @@ -0,0 +1 @@ +AGENTS_CATALOG=http://localhost:5600 # Comma-separated List \ No newline at end of file diff --git a/acp-agents/ui/chat/Dockerfile b/acp-agents/ui/chat/Dockerfile new file mode 100644 index 000000000..40dd6c087 --- /dev/null +++ b/acp-agents/ui/chat/Dockerfile @@ -0,0 +1,49 @@ +################################################# +# Build stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 AS build-stage + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" + +# Install uv. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +# Copy the application into the container. +COPY . . + +# Install the application dependencies. +RUN uv sync --frozen --no-cache + +# Linting +RUN ruff check . --no-cache + +# Reinstall without dev dependencies +RUN uv sync --reinstall --frozen --no-cache --no-dev + +################################################# +# Production stage +################################################# + +FROM registry.access.redhat.com/ubi9/python-312:9.6-1752571600 + +LABEL maintainer="kai.wedekind@de.ibm.com" + +USER 1001 +WORKDIR $HOME + +ENV PATH="$HOME/.venv/bin:$PATH" +ENV MODE=${MODE:-production} +ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG} +ENV PORT=${PORT:-5555} +ENV WORKERS=${WORKERS:-1} + +COPY --from=build-stage $HOME/ . + +# Run the application. +CMD ["sh", "-c", "streamlit run main.py --server.port=$PORT --server.address=0.0.0.0"] diff --git a/acp-agents/ui/chat/README.md b/acp-agents/ui/chat/README.md new file mode 100644 index 000000000..e4cef6e56 --- /dev/null +++ b/acp-agents/ui/chat/README.md @@ -0,0 +1,6 @@ +# Chat UI + +```sh +source .venv/bin/activate +streamlit run main.py --server.port=5555 --server.address=0.0.0.0 +``` diff --git a/acp-agents/ui/chat/config.json b/acp-agents/ui/chat/config.json new file mode 100644 index 000000000..8c9d7b8a1 --- /dev/null +++ b/acp-agents/ui/chat/config.json @@ -0,0 +1,4 @@ +{ + "title": "CE Travel Agency", + "icon": "public/icons/favicon.svg" +} diff --git a/acp-agents/ui/chat/main.py b/acp-agents/ui/chat/main.py new file mode 100644 index 000000000..7f55fd9e5 --- /dev/null +++ b/acp-agents/ui/chat/main.py @@ -0,0 +1,17 @@ +import asyncio + +from dotenv import load_dotenv +from utils.core import chat, config +from utils.design import layout + +load_dotenv() + + +async def main(): + await config.initialize() + await layout.initialize() + await chat.initialize() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/acp-agents/ui/chat/public/icons/favicon.svg b/acp-agents/ui/chat/public/icons/favicon.svg new file mode 100644 index 000000000..dd02ed831 --- /dev/null +++ b/acp-agents/ui/chat/public/icons/favicon.svg @@ -0,0 +1 @@ + diff --git a/acp-agents/ui/chat/public/icons/ibm-cloud--code-engine.svg b/acp-agents/ui/chat/public/icons/ibm-cloud--code-engine.svg new file mode 100644 index 000000000..633d09500 --- /dev/null +++ b/acp-agents/ui/chat/public/icons/ibm-cloud--code-engine.svg @@ -0,0 +1,6 @@ + + + + diff --git a/acp-agents/ui/chat/pyproject.toml b/acp-agents/ui/chat/pyproject.toml new file mode 100644 index 000000000..546497b9f --- /dev/null +++ b/acp-agents/ui/chat/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "chat" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "acp-sdk>=0.9.1", + "python-dotenv>=1.1.0", + "ruff>=0.11.10", + "streamlit>=1.45.1", + "watchdog>=6.0.0", +] diff --git a/acp-agents/ui/chat/utils/core/__init__.py b/acp-agents/ui/chat/utils/core/__init__.py new file mode 100644 index 000000000..0ac60eb69 --- /dev/null +++ b/acp-agents/ui/chat/utils/core/__init__.py @@ -0,0 +1 @@ +import streamlit # noqa: F401 diff --git a/acp-agents/ui/chat/utils/core/chat.py b/acp-agents/ui/chat/utils/core/chat.py new file mode 100644 index 000000000..f89a9e7f8 --- /dev/null +++ b/acp-agents/ui/chat/utils/core/chat.py @@ -0,0 +1,77 @@ +import httpx +from acp_sdk.client import Client +from acp_sdk.models import ( + Message, + MessagePart, +) +from utils.core import streamlit as st + + +async def initialize() -> None: + agents = [] + agentsMap = {} + + for agent_url in st.session_state["agents_catalog"]: + try: + response = httpx.get(f"{agent_url}/agents") + body = response.json() + + agent_list = [agent.get("name") for agent in body.get("agents")] + for agent_name in agent_list: + agentsMap[agent_name] = agent_url + + agents.extend(agent_list) + except Exception as e: + print(f"Connection to {agent_url} failed:", e) + + with st.sidebar: + st.markdown("## Available Agents") + + agent = st.selectbox("Select your Agent", agents) + + st.session_state["agent_id"] = agent + st.session_state["agent_url"] = [] + + # Ensuring that there is a message list in the session state for storing conversation history + if "messages" not in st.session_state: + st.session_state.messages = [] + + with st.chat_message("assistant"): + st.markdown("Hello, I'm your personal Travel assistant. How can I help you?") + + # Displaying each message in the session state using Streamlit's chat message display + for message in st.session_state.messages: + with st.chat_message(message["role"]): + st.markdown(message["content"]) + + # Handling user input through Streamlit's chat input box + if prompt := st.chat_input("Write something..."): + # Appending the user's message to the session state + st.session_state.messages.append({"role": "human", "content": prompt}) + + # Displaying the user's message in the chat interface + with st.chat_message("human"): + st.markdown(prompt) + + # Preparing to display the assistant's response + with st.chat_message("assistant"): + message_placeholder = st.empty() # Placeholder for assistant's response + full_response = "" # Initializing a variable to store the full response + + url = agentsMap[agent] + + async with Client(base_url=url) as client: + async for event in client.run_stream( + agent=agent, + input=[Message(parts=[MessagePart(content=prompt)])], + ): + try: + full_response += "\n\n " + event.part.content + " " or "" + message_placeholder.markdown(full_response + "โ–Œ") # Displaying the response as it's being 'typed' + except Exception: + pass + + message_placeholder.markdown(full_response) + + # Appending the assistant's response to the session's message list + st.session_state.messages.append({"role": "assistant", "content": full_response}) diff --git a/acp-agents/ui/chat/utils/core/config.py b/acp-agents/ui/chat/utils/core/config.py new file mode 100644 index 000000000..7a940b0ae --- /dev/null +++ b/acp-agents/ui/chat/utils/core/config.py @@ -0,0 +1,47 @@ +import json +import os + +from utils.core import config +from utils.core import streamlit as st + +config = None # noqa: F811 +config_file_path = "config.json" + + +async def initialize(): + application_config = load() + + try: + st.set_page_config( + page_title=application_config.get("title"), + page_icon=application_config.get("icon"), + layout="wide", + initial_sidebar_state="expanded", + ) + except Exception: + pass + + st.logo( + "public/icons/ibm-cloud--code-engine.svg", + icon_image="public/icons/ibm-cloud--code-engine.svg", + # link="/", + ) + + st.session_state["agents_catalog"] = [item.strip() for item in os.getenv("AGENTS_CATALOG", "").split(",")] + + +def load(): + global config + + if config: + return config + else: + try: + with open(config_file_path, "r") as json_file: + config = json.load(json_file) + except FileNotFoundError: + print(f"The file at {config_file_path} does not exist.") + except json.JSONDecodeError: + print(f"Failed to decode JSON from the file at {config_file_path}.") + + return config diff --git a/acp-agents/ui/chat/utils/design/layout.py b/acp-agents/ui/chat/utils/design/layout.py new file mode 100644 index 000000000..2612183cb --- /dev/null +++ b/acp-agents/ui/chat/utils/design/layout.py @@ -0,0 +1,5 @@ +from utils.styles import css + + 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2025 13:16:37 +0200 Subject: [PATCH 2/2] fix: update ollama serve command Signed-off-by: Kai Wedekind --- acp-agents/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/acp-agents/README.md b/acp-agents/README.md index dba86b8bd..9e172325f 100644 --- a/acp-agents/README.md +++ b/acp-agents/README.md @@ -75,7 +75,7 @@ curl -fsSL https://ollama.com/install.sh | sh ``` ```sh -OLLAMA_HOST=192.168.178.26:11434 ollama serve +OLLAMA_HOST=$(ipconfig getifaddr en0):11434 ollama serve ``` ```sh