Add initial project files for prototypes

prototypes/exxetaGPT/.gitignore

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+# Based on https://raw.githubusercontent.com/github/gitignore/main/Node.gitignore
+
+# Logs
+
+logs
+_.log
+npm-debug.log_
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Caches
+
+.cache
+
+# 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/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+
+web_modules/
+
+# TypeScript cache
+
+*.tsbuildinfo
+
+# Optional npm cache directory
+
+.npm
+
+# Optional eslint cache
+
+.eslintcache
+
+# Optional stylelint cache
+
+.stylelintcache
+
+# 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 variable files
+
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+
+.parcel-cache
+
+# Next.js build output
+
+.next
+out
+
+# Nuxt.js build / generate output
+
+.nuxt
+dist
+
+# Gatsby files
+
+# 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
+
+# vuepress v2.x temp and cache directory
+
+.temp
+
+# Docusaurus cache and generated files
+
+.docusaurus
+
+# Serverless directories
+
+.serverless/
+
+# FuseBox cache
+
+.fusebox/
+
+# DynamoDB Local files
+
+.dynamodb/
+
+# TernJS port file
+
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+
+.vscode-test
+
+# yarn v2
+
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*
+
+# IntelliJ based IDEs
+.idea
+
+# Finder (MacOS) folder config
+.DS_Store

prototypes/exxetaGPT/README.md

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+# exxetagpt
+
+To install dependencies:
+
+```bash
+bun install
+```
+
+To run:
+
+```bash
+bun run index.ts
+```
+
+This project was created using `bun init` in bun v1.1.34. [Bun](https://bun.sh) is a fast all-in-one JavaScript runtime.

prototypes/exxetaGPT/index.py

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+from openai import AzureOpenAI
+from dotenv import load_dotenv
+import os
+import pymupdf
+
+load_dotenv()
+
+BASE_URL = "https://ai.exxeta.com/api/v2/azure/openai"
+API_KEY = os.getenv("API_KEY")
+
+client = AzureOpenAI(
+    api_key=API_KEY,
+    api_version="2023-07-01-preview",
+        base_url=BASE_URL
+    )
+def extract_text_from_pdf(file_path):
+    """Extract text content from a PDF file using PyMuPDF (fitz)."""
+    all_text = ""
+    # Open the PDF file
+    doc = pymupdf.open(file_path)
+
+    # Print number of pages
+    print(f"PDF has {len(doc)} pages")
+
+    # Extract and print text from each page
+    for page_num in range(len(doc)):
+        page = doc[page_num]
+        text = page.get_text()
+
+        # Print page number and content
+        print(text)
+
+        all_text += "[Page " + str(page_num + 1) + "]\n" + text + "\n\n"
+
+    return all_text
+
+
+file_path = "../../pitch-books/Pitchbook 1.pdf"
+pdf_text = extract_text_from_pdf(file_path)
+
+response = client.chat.completions.create(
+        messages=[
+            {
+                "role": "system",
+                "content": "Always respond with a valid JSON object"
+            },
+            {
+                "role": "user",
+                "content": """extract the values from the text. let not found values empty:
+                -Fondsname
+                -Fondsmanager
+                -Name Kapitalverwaltungsgesellschaft
+                -Datum
+                -Risikoprofil
+                -Artikel gem. SFDR
+                -Ziel
+                -Zielrendite über die Fondslaufzeit
+                -Rendite seit Auflage
+                -Zielausschüttungsrendite über die Fondslaufzeit
+                -Ausschüttungsrendite seit Auflage
+                -Laufzeit
+                -LTV (Loan-to-Value)
+                -Soll/Ist
+                -Ziel
+                -Managementgebühren Bezogen auf NAV (Net Asset Value)
+                -Sektorenallokation
+                -Länderallokation
+                for each value return:
+                    - the Key
+                    - the Value
+                    - the page where this value was found
+                    - a confidence score, how confident the model is about the value (low, medium, high)
+
+                Here ist the text:""" + pdf_text
+            }
+        ],
+        model="gpt-4o-mini",
+        response_format={"type": "json_object"}
+        # temperature=0.7,
+        # top_p=0.95,
+        # frequency_penalty=0,
+        # presence_penalty=0,
+        # max_tokens=800,
+        # stop="",
+        # stream=False
+    )
+
+
+
+print(response.choices[0].message.content)

prototypes/exxetaGPT/requirements.txt

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+acres==0.3.0
+annotated-types==0.7.0
+anyio==4.9.0
+certifi==2025.1.31
+charset-normalizer==3.4.1
+ci-info==0.3.0
+click==8.1.8
+configobj==5.0.9
+configparser==7.2.0
+distro==1.9.0
+etelemetry==0.3.1
+filelock==3.18.0
+h11==0.14.0
+httpcore==1.0.8
+httplib2==0.22.0
+httpx==0.28.1
+idna==3.10
+isodate==0.6.1
+jiter==0.9.0
+looseversion==1.3.0
+lxml==5.4.0
+networkx==3.4.2
+nibabel==5.3.2
+nipype==1.10.0
+numpy==2.2.5
+openai==1.75.0
+packaging==25.0
+pandas==2.2.3
+pathlib==1.0.1
+prov==2.0.1
+puremagic==1.28
+pydantic==2.11.3
+pydantic_core==2.33.1
+pydot==3.0.4
+PyMuPDF==1.25.5
+pyparsing==3.2.3
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.0
+pytz==2025.2
+pyxnat==1.6.3
+rdflib==6.3.2
+requests==2.32.3
+scipy==1.15.2
+simplejson==3.20.1
+six==1.17.0
+sniffio==1.3.1
+tqdm==4.67.1
+traits==7.0.2
+typing-inspection==0.4.0
+typing_extensions==4.13.2
+tzdata==2025.2
+urllib3==2.4.0

prototypes/fast-agent/.gitignore

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+# FastAgent secrets file
+fastagent.secrets.yaml
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual Environment
+.env
+.venv
+env/
+venv/
+ENV/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo

prototypes/fast-agent/.python-version

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+3.13

prototypes/fast-agent/agent.py

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+import asyncio
+from mcp_agent.core.fastagent import FastAgent
+
+# Create the application
+fast = FastAgent("fast-agent example")
+
+
+# Define the agent
+@fast.agent(instruction="You are a helpful AI Agent")
+async def main():
+    # use the --model command line switch or agent arguments to change model
+    async with fast.run() as agent:
+        await agent.interactive()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

prototypes/fast-agent/fastagent.config.yaml

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+# FastAgent Configuration File
+
+# Default Model Configuration:
+#
+# Takes format:
+#   <provider>.<model_string>.<reasoning_effort?> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini.low)
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
+#
+# If not specified, defaults to "haiku".
+# Can be overriden with a command line switch --model=<model>, or within the Agent constructor.
+
+default_model: openai.gpt-4o-mini
+openai:
+  base_url: "https://ai.exxeta.com/api/v2/azure/openai"  # Optional, only include to override
+# reasoning_effort: "medium"  # Default reasoning effort: "low", "medium", or "high"
+  api_version: "2023-05-15"
+
+# Logging and Console Configuration:
+logger:
+    level: "info"
+    # level: "debug" | "info" | "warning" | "error"
+    # type: "none" | "console" | "file" | "http"
+    # path: "/path/to/logfile.jsonl"
+
+
+    # Switch the progress display on or off
+    progress_display: true
+
+    # Show chat User/Assistant messages on the console
+    show_chat: true
+    # Show tool calls on the console
+    show_tools: true
+    # Truncate long tool responses on the console
+    truncate_tools: true
+
+# MCP Servers
+mcp:
+    servers:
+        fetch:
+            command: "uvx"
+            args: ["mcp-server-fetch"]
+        filesystem:
+            command: "npx"
+            args: ["-y", "@modelcontextprotocol/server-filesystem", "."]

prototypes/fast-agent/fastagent.jsonl

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+{"level":"ERROR","timestamp":"2025-04-27T12:31:28.710267","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:31:28.770+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '93b54269-15746'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:32:25.709293","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:32:25.774+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '93b54269-15748'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:32:32.209425","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:32:32.235+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '93b54269-15749'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:32:33.396324","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:32:33.445+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '93b54269-15750'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:33:14.581286","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:33:14.644+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '93b54269-15752'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:34:52.331047","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:34:52.392+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '848fc34a-15755'}"}
+{"level":"ERROR","timestamp":"2025-04-27T12:35:01.450602","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:35:01.464+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '848fc34a-15756'}"}
+{"level":"INFO","timestamp":"2025-04-27T12:37:33.316933","namespace":"mcp_agent.context","message":"Configuring logger with level: info"}
+{"level":"INFO","timestamp":"2025-04-27T12:37:33.317593","namespace":"mcp_agent.fast-agent example","message":"MCPAgent initialized","data":{"data":{"progress_action":"Running","target":"fast-agent example","agent_name":"fast-agent example"}}}
+{"level":"INFO","timestamp":"2025-04-27T12:37:33.317624","namespace":"mcp_agent.core.direct_factory","message":"Loaded default","data":{"data":{"progress_action":"Loaded","agent_name":"default"}}}
+{"level":"ERROR","timestamp":"2025-04-27T12:37:36.005537","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:37:36.033+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '848fc34a-15761'}"}
+{"level":"INFO","timestamp":"2025-04-27T12:38:34.788876","namespace":"mcp_agent.fast-agent example","message":"MCPAgent cleanup","data":{"data":{"progress_action":"Finished","target":"fast-agent example","agent_name":"fast-agent example"}}}
+{"level":"INFO","timestamp":"2025-04-27T12:41:29.080203","namespace":"mcp_agent.context","message":"Configuring logger with level: info"}
+{"level":"INFO","timestamp":"2025-04-27T12:41:29.080791","namespace":"mcp_agent.fast-agent example","message":"MCPAgent initialized","data":{"data":{"progress_action":"Running","target":"fast-agent example","agent_name":"fast-agent example"}}}
+{"level":"INFO","timestamp":"2025-04-27T12:41:29.080823","namespace":"mcp_agent.core.direct_factory","message":"Loaded default","data":{"data":{"progress_action":"Loaded","agent_name":"default"}}}
+{"level":"ERROR","timestamp":"2025-04-27T12:41:31.441433","namespace":"mcp_agent.llm.providers.augmented_llm_openai.default","message":"Error: Error code: 404 - {'timestamp': '2025-04-27T10:41:31.466+00:00', 'path': '/api/v2/azure/openai/chat/completions', 'status': 404, 'error': 'Not Found', 'requestId': '848fc34a-15769'}"}
+{"level":"INFO","timestamp":"2025-04-27T13:02:03.841182","namespace":"mcp_agent.fast-agent example","message":"MCPAgent cleanup","data":{"data":{"progress_action":"Finished","target":"fast-agent example","agent_name":"fast-agent example"}}}

prototypes/fast-agent/main.py

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+def main():
+    print("Hello from fast-agent!")
+
+
+if __name__ == "__main__":
+    main()

prototypes/fast-agent/pyproject.toml

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+[project]
+name = "fast-agent"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "fast-agent-mcp>=0.2.18",
+]