Add initial project files for prototypes
Jaronim Pracht
parent
b20e3ab72e
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39844a5785
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# Based on https://raw.githubusercontent.com/github/gitignore/main/Node.gitignore
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# Logs
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logs
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_.log
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npm-debug.log_
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yarn-debug.log*
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yarn-error.log*
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lerna-debug.log*
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.pnpm-debug.log*
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# Caches
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.cache
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# Diagnostic reports (https://nodejs.org/api/report.html)
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report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
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# Runtime data
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pids
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_.pid
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_.seed
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*.pid.lock
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# Directory for instrumented libs generated by jscoverage/JSCover
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lib-cov
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# Coverage directory used by tools like istanbul
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coverage
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*.lcov
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# nyc test coverage
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.nyc_output
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# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
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.grunt
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# Bower dependency directory (https://bower.io/)
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bower_components
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# node-waf configuration
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.lock-wscript
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# Compiled binary addons (https://nodejs.org/api/addons.html)
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build/Release
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# Dependency directories
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node_modules/
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jspm_packages/
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# Snowpack dependency directory (https://snowpack.dev/)
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web_modules/
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# TypeScript cache
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*.tsbuildinfo
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# Optional npm cache directory
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.npm
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# Optional eslint cache
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.eslintcache
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# Optional stylelint cache
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.stylelintcache
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# Microbundle cache
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.rpt2_cache/
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.rts2_cache_cjs/
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.rts2_cache_es/
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.rts2_cache_umd/
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# Optional REPL history
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.node_repl_history
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# Output of 'npm pack'
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*.tgz
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# Yarn Integrity file
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.yarn-integrity
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# dotenv environment variable files
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.env
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.env.development.local
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.env.test.local
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.env.production.local
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.env.local
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# parcel-bundler cache (https://parceljs.org/)
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.parcel-cache
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# Next.js build output
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.next
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out
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# Nuxt.js build / generate output
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.nuxt
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dist
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# Gatsby files
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# Comment in the public line in if your project uses Gatsby and not Next.js
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# https://nextjs.org/blog/next-9-1#public-directory-support
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# public
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# vuepress build output
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.vuepress/dist
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# vuepress v2.x temp and cache directory
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.temp
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# Docusaurus cache and generated files
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.docusaurus
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# Serverless directories
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.serverless/
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# FuseBox cache
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.fusebox/
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# DynamoDB Local files
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.dynamodb/
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# TernJS port file
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.tern-port
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# Stores VSCode versions used for testing VSCode extensions
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.vscode-test
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# yarn v2
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.yarn/cache
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.yarn/unplugged
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.yarn/build-state.yml
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.yarn/install-state.gz
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.pnp.*
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# IntelliJ based IDEs
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.idea
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# Finder (MacOS) folder config
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.DS_Store
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# exxetagpt
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To install dependencies:
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```bash
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bun install
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```
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To run:
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```bash
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bun run index.ts
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```
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This project was created using `bun init` in bun v1.1.34. [Bun](https://bun.sh) is a fast all-in-one JavaScript runtime.
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from openai import AzureOpenAI
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from dotenv import load_dotenv
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import os
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import pymupdf
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load_dotenv()
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BASE_URL = "https://ai.exxeta.com/api/v2/azure/openai"
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API_KEY = os.getenv("API_KEY")
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client = AzureOpenAI(
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api_key=API_KEY,
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api_version="2023-07-01-preview",
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base_url=BASE_URL
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)
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def extract_text_from_pdf(file_path):
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"""Extract text content from a PDF file using PyMuPDF (fitz)."""
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all_text = ""
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# Open the PDF file
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doc = pymupdf.open(file_path)
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# Print number of pages
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print(f"PDF has {len(doc)} pages")
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# Extract and print text from each page
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for page_num in range(len(doc)):
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page = doc[page_num]
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text = page.get_text()
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# Print page number and content
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print(text)
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all_text += "[Page " + str(page_num + 1) + "]\n" + text + "\n\n"
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return all_text
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file_path = "../../pitch-books/Pitchbook 1.pdf"
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pdf_text = extract_text_from_pdf(file_path)
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response = client.chat.completions.create(
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messages=[
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{
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"role": "system",
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"content": "Always respond with a valid JSON object"
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},
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{
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"role": "user",
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"content": """extract the values from the text. let not found values empty:
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-Fondsname
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-Fondsmanager
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-Name Kapitalverwaltungsgesellschaft
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-Datum
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-Risikoprofil
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-Artikel gem. SFDR
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-Ziel
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-Zielrendite über die Fondslaufzeit
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-Rendite seit Auflage
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-Zielausschüttungsrendite über die Fondslaufzeit
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-Ausschüttungsrendite seit Auflage
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-Laufzeit
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-LTV (Loan-to-Value)
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-Soll/Ist
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-Ziel
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-Managementgebühren Bezogen auf NAV (Net Asset Value)
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-Sektorenallokation
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-Länderallokation
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for each value return:
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- the Key
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- the Value
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- the page where this value was found
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- a confidence score, how confident the model is about the value (low, medium, high)
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Here ist the text:""" + pdf_text
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}
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],
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model="gpt-4o-mini",
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response_format={"type": "json_object"}
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# temperature=0.7,
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# top_p=0.95,
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# frequency_penalty=0,
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# presence_penalty=0,
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# max_tokens=800,
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# stop="",
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# stream=False
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)
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print(response.choices[0].message.content)
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acres==0.3.0
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annotated-types==0.7.0
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anyio==4.9.0
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certifi==2025.1.31
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charset-normalizer==3.4.1
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ci-info==0.3.0
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click==8.1.8
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configobj==5.0.9
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configparser==7.2.0
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distro==1.9.0
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etelemetry==0.3.1
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filelock==3.18.0
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h11==0.14.0
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httpcore==1.0.8
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httplib2==0.22.0
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httpx==0.28.1
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idna==3.10
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isodate==0.6.1
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jiter==0.9.0
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looseversion==1.3.0
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lxml==5.4.0
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networkx==3.4.2
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nibabel==5.3.2
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nipype==1.10.0
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numpy==2.2.5
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openai==1.75.0
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packaging==25.0
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pandas==2.2.3
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pathlib==1.0.1
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prov==2.0.1
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puremagic==1.28
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pydantic==2.11.3
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pydantic_core==2.33.1
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pydot==3.0.4
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PyMuPDF==1.25.5
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pyparsing==3.2.3
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python-dateutil==2.9.0.post0
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python-dotenv==1.1.0
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pytz==2025.2
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pyxnat==1.6.3
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rdflib==6.3.2
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requests==2.32.3
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scipy==1.15.2
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simplejson==3.20.1
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six==1.17.0
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sniffio==1.3.1
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tqdm==4.67.1
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traits==7.0.2
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typing-inspection==0.4.0
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typing_extensions==4.13.2
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tzdata==2025.2
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urllib3==2.4.0
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# FastAgent secrets file
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fastagent.secrets.yaml
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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.env
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.venv
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env/
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venv/
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ENV/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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3.13
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import asyncio
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from mcp_agent.core.fastagent import FastAgent
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# Create the application
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fast = FastAgent("fast-agent example")
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# Define the agent
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@fast.agent(instruction="You are a helpful AI Agent")
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async def main():
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# use the --model command line switch or agent arguments to change model
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async with fast.run() as agent:
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await agent.interactive()
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if __name__ == "__main__":
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asyncio.run(main())
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# FastAgent Configuration File
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# Default Model Configuration:
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#
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# Takes format:
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# <provider>.<model_string>.<reasoning_effort?> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini.low)
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# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
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# and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
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#
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# If not specified, defaults to "haiku".
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# Can be overriden with a command line switch --model=<model>, or within the Agent constructor.
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default_model: openai.gpt-4o-mini
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openai:
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base_url: "https://ai.exxeta.com/api/v2/azure/openai" # Optional, only include to override
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# reasoning_effort: "medium" # Default reasoning effort: "low", "medium", or "high"
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api_version: "2023-05-15"
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# Logging and Console Configuration:
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logger:
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level: "info"
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# level: "debug" | "info" | "warning" | "error"
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# type: "none" | "console" | "file" | "http"
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# path: "/path/to/logfile.jsonl"
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# Switch the progress display on or off
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progress_display: true
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# Show chat User/Assistant messages on the console
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show_chat: true
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# Show tool calls on the console
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show_tools: true
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# Truncate long tool responses on the console
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truncate_tools: true
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# MCP Servers
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mcp:
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servers:
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fetch:
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command: "uvx"
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args: ["mcp-server-fetch"]
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filesystem:
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command: "npx"
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args: ["-y", "@modelcontextprotocol/server-filesystem", "."]
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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'}"}
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{"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'}"}
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{"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'}"}
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{"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'}"}
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{"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'}"}
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{"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'}"}
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{"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'}"}
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{"level":"INFO","timestamp":"2025-04-27T12:37:33.316933","namespace":"mcp_agent.context","message":"Configuring logger with level: info"}
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{"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"}}}
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{"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"}}}
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{"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'}"}
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{"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"}}}
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{"level":"INFO","timestamp":"2025-04-27T12:41:29.080203","namespace":"mcp_agent.context","message":"Configuring logger with level: info"}
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{"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"}}}
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{"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"}}}
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{"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'}"}
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{"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"}}}
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def main():
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print("Hello from fast-agent!")
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||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
[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",
|
||||
]
|
||||
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Reference in New Issue