From 3d2095fb0403ac8383766a2a011245ee8430faf0 Mon Sep 17 00:00:00 2001 From: Joel Samuel Date: Tue, 2 Dec 2025 22:59:43 -0500 Subject: [PATCH] TensorLake agent example --- .../tensorlake/tensorlake-agent/.editorconfig | 12 + agents/tensorlake/tensorlake-agent/.gitignore | 180 ++ .../tensorlake-agent/.python-version | 1 + agents/tensorlake/tensorlake-agent/AGENTS.md | 110 + agents/tensorlake/tensorlake-agent/README.md | 238 ++ .../tensorlake-agent/agentuity.yaml | 70 + .../agentuity_agents/__init__.py | 1 + .../tensorlake_agent/__init__.py | 1 + .../tensorlake_agent/agent.py | 463 +++ agents/tensorlake/tensorlake-agent/main.py | 6 + .../tensorlake-agent/pyproject.toml | 10 + agents/tensorlake/tensorlake-agent/server.py | 36 + agents/tensorlake/tensorlake-agent/uv.lock | 2598 +++++++++++++++++ 13 files changed, 3726 insertions(+) create mode 100644 agents/tensorlake/tensorlake-agent/.editorconfig create mode 100644 agents/tensorlake/tensorlake-agent/.gitignore create mode 100644 agents/tensorlake/tensorlake-agent/.python-version create mode 100644 agents/tensorlake/tensorlake-agent/AGENTS.md create mode 100644 agents/tensorlake/tensorlake-agent/README.md create mode 100644 agents/tensorlake/tensorlake-agent/agentuity.yaml create mode 100644 agents/tensorlake/tensorlake-agent/agentuity_agents/__init__.py create mode 100644 agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/__init__.py create mode 100644 agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/agent.py create mode 100644 agents/tensorlake/tensorlake-agent/main.py create mode 100644 agents/tensorlake/tensorlake-agent/pyproject.toml create mode 100644 agents/tensorlake/tensorlake-agent/server.py create mode 100644 agents/tensorlake/tensorlake-agent/uv.lock diff --git a/agents/tensorlake/tensorlake-agent/.editorconfig b/agents/tensorlake/tensorlake-agent/.editorconfig new file mode 100644 index 00000000..53fe0544 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/.editorconfig @@ -0,0 +1,12 @@ +# EditorConfig is awesome: https://EditorConfig.org + +# top-most EditorConfig file +root = true + +[*] +indent_style = space +indent_size = 2 +end_of_line = lf +charset = utf-8 +trim_trailing_whitespace = false +insert_final_newline = true \ No newline at end of file diff --git a/agents/tensorlake/tensorlake-agent/.gitignore b/agents/tensorlake/tensorlake-agent/.gitignore new file mode 100644 index 00000000..7a0af131 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/.gitignore @@ -0,0 +1,180 @@ +# 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/ +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/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .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 + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.env.development +.env.production +.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 + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc + +# Agentuity +.agentuity +.agentuity-crash-*.json \ No newline at end of file diff --git a/agents/tensorlake/tensorlake-agent/.python-version b/agents/tensorlake/tensorlake-agent/.python-version new file mode 100644 index 00000000..2c073331 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/.python-version @@ -0,0 +1 @@ +3.11 diff --git a/agents/tensorlake/tensorlake-agent/AGENTS.md b/agents/tensorlake/tensorlake-agent/AGENTS.md new file mode 100644 index 00000000..8b42cb94 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/AGENTS.md @@ -0,0 +1,110 @@ +# Agentuity Python Agent Development + +This guide provides comprehensive instructions for developing AI agents using the Agentuity platform with Python. + +## 1. Agent Development Guidelines + +- Prefer using the `agentuity agent create` command to create a new Agent +- Prefer importing types from the `agentuity` package +- The file should define an async function named `run` +- All code should follow Python best practices and type hints +- Use the provided logger from the `AgentContext` interface such as `context.logger.info("my message: %s", "hello")` + +### Example Agent File + +```python +from agentuity import AgentRequest, AgentResponse, AgentContext + +async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): + return response.json({"hello": "world"}) +``` + +## 2. Core Interfaces + +### Agent Handler + +The main handler function for an agent: + +```python +async def run( + request: AgentRequest, + response: AgentResponse, + context: AgentContext +) -> Any: + # Agent implementation + pass +``` + +### AgentRequest + +The `AgentRequest` class provides methods for accessing request data: + +- `request.trigger`: Gets the trigger type of the request +- `request.metadata`: Gets metadata associated with the request +- `request.get(key, default)`: Gets a value from the metadata +- `request.data.contentType`: Gets the content type of the request payload +- `request.data.json`: Gets the payload as a JSON object +- `request.data.text`: Gets the payload as a string +- `request.data.binary`: Gets the payload as bytes + +### AgentResponse + +The `AgentResponse` class provides methods for creating responses: + +- `response.json(data, metadata)`: Creates a JSON response +- `response.text(data, metadata)`: Creates a text response +- `response.binary(data, content_type, metadata)`: Creates a binary response +- `response.html(data, metadata)`: Creates an HTML response +- `response.empty(metadata)`: Creates an empty response +- `response.handoff(params, args, metadata)`: Redirects to another agent +- Media-specific methods: `pdf()`, `png()`, `jpeg()`, `gif()`, `mp3()`, `mp4()`, etc. + +### AgentContext + +The `AgentContext` class provides access to various capabilities: + +- `context.logger`: Logging functionality +- `context.kv`: Key-Value storage +- `context.vector`: Vector storage +- `context.get_agent(agent_id_or_name)`: Gets a handle to a remote agent +- `context.tracer`: OpenTelemetry tracing +- Environment properties: `sdkVersion`, `devmode`, `orgId`, `projectId`, etc. + +## 3. Storage APIs + +### Key-Value Storage + +Access through `context.kv`: + +- `await context.kv.get(name, key)`: Retrieves a value +- `await context.kv.set(name, key, value, params)`: Stores a value with optional params +- `await context.kv.delete(name, key)`: Deletes a value + +### Vector Storage + +Access through `context.vector`: + +- `await context.vector.upsert(name, *documents)`: Inserts or updates vectors +- `await context.vector.search(name, params)`: Searches for vectors +- `await context.vector.delete(name, *ids)`: Deletes vectors + +## 4. Logging + +Access through `context.logger`: + +- `context.logger.debug(message, *args, **kwargs)`: Logs a debug message +- `context.logger.info(message, *args, **kwargs)`: Logs an informational message +- `context.logger.warn(message, *args, **kwargs)`: Logs a warning message +- `context.logger.error(message, *args, **kwargs)`: Logs an error message +- `context.logger.child(**kwargs)`: Creates a child logger with additional context + +## 5. Best Practices + +- Use type hints for better IDE support +- Import types from `agentuity` +- Use structured error handling with try/except blocks +- Leverage the provided logger for consistent logging +- Use the storage APIs for persisting data +- Consider agent communication for complex workflows + +For complete documentation, visit: https://agentuity.dev/SDKs/python/api-reference diff --git a/agents/tensorlake/tensorlake-agent/README.md b/agents/tensorlake/tensorlake-agent/README.md new file mode 100644 index 00000000..bb108d58 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/README.md @@ -0,0 +1,238 @@ +# TensorLake Document AI Agent + +
+ Agentuity
+ Build Agents, Not Infrastructure
+
+ + + +
+
+ +A serverless document processing agent built with Agentuity and TensorLake DocumentAI to parse documents, extract structured data, and detect signatures — all through a simple HTTP endpoint. + +## Introduction + +This repository contains a single powerful agent: + +- **TensorLake Agent**: Parses PDFs and documents using TensorLake's DocumentAI, extracts structured data using Pydantic schemas, and optionally detects signatures on document pages. + +The agent uses TensorLake's cloud-based document processing to handle OCR, text extraction, and schema-based data extraction, while Agentuity provides instant deployment as an HTTP endpoint with zero infrastructure. + +## Installation + +1. Clone the repo: + ```bash + git clone https://github.com/agentuity/tensorlake-agent.git + cd tensorlake-agent + ``` + +2. Install dependencies: + ```bash + uv sync + ``` + +## Configuration + + +1. Open `.env` and set: + ``` + TENSORLAKE_API_KEY=your_tensorlake_api_key + ``` + + Get your API key from the [TensorLake Dashboard](https://docs.tensorlake.ai/platform/authentication#api-keys). + +## Project Structure + +``` +. +├── agentuity_agents +│ └── tensorlake_agent +│ └── agent.py # Main agent logic with schemas +├── agentuity.yaml # Agentuity project configuration +├── pyproject.toml # Python dependencies +├── server.py # Agentuity server entry point +└── README.md +``` + +## Agent + +### TensorLake Agent + +- **File**: `agentuity_agents/tensorlake_agent/agent.py` +- **Purpose**: + 1. Parse documents (PDFs, images) and extract content as markdown chunks. + 2. Extract structured data using pre-defined Pydantic schemas. + 3. Optionally detect signatures on document pages. + 4. Provide demo mode for testing without API quota. + +### Available Actions + +| Action | Description | +|--------|-------------| +| `parse` | Parse a document and extract structured data | +| `status` | Check status of a parse job | +| `analyze` | Run local text analysis on provided text | +| `schemas` | List all available extraction schemas | + +### Available Schemas + +| Schema | Use Case | +|--------|----------| +| `real-estate` | Purchase agreements, leases — extracts buyer/seller info and signatures | +| `invoice` | Invoices, receipts — extracts line items, totals, vendor info | +| `contract` | General contracts — extracts parties, terms, key dates | + +### Example Request + +```json +{ + "action": "parse", + "file_url": "https://tlake.link/lease-agreement", + "schema": "real-estate", + "detect_signatures": false +} +``` + +### Example Response + +```json +{ + "status": "success", + "parse_id": "parse_WhgLQtzb6wTmBq6cGFtrM", + "structured_data": [{ + "buyer": { + "buyer_name": "Nova Ellison", + "buyer_signature_date": "September 10, 2025", + "buyer_signed": true + }, + "seller": { + "seller_name": "Juno Vega", + "seller_signature_date": "September 10, 2025", + "seller_signed": true + } + }], + "chunk_count": 1, + "chunk_preview": [{ + "index": 0, + "content_preview": "## RESIDENTIAL REAL ESTATE PURCHASE AGREEMENT..." + }] +} +``` + +## 📋 Prerequisites + +Before you begin, ensure you have the following installed: + +- **Python**: Version 3.10 or higher (< 3.13) +- **uv**: Python package manager +- **TensorLake API Key**: From [TensorLake Dashboard](https://docs.tensorlake.ai/platform/authentication#api-keys) + +## 🚀 Getting Started + +### Authentication + +Before using Agentuity, you need to authenticate: + +```bash +agentuity login +``` + +This command will open a browser window where you can log in to your Agentuity account. + +### Creating a New Agent + +To create a new agent in your project: + +```bash +agentuity agent new +``` + +Follow the interactive prompts to configure your agent. + +### Development Mode + +Run your project in development mode with: + +```bash +agentuity dev +``` + +This will start your project and open a new browser window connecting your agent to the Agentuity Console in DevMode, allowing you to test and debug your agent in real-time. + +## 🌐 Deployment + +When you're ready to deploy your agent to the Agentuity Cloud: + +```bash +agentuity deploy +``` + +This command will bundle your agent and deploy it to the cloud, making it accessible via the Agentuity platform. + +## 🔧 Configuration + +Your project configuration is stored in `agentuity.yaml`. This file defines your agents, development settings, and deployment configuration. + +### Request Options + +| Field | Type | Default | Description | +|-------|------|---------|-------------| +| `file_url` | string | — | URL to the document (PDF, image, etc.) | +| `schema` | string | — | Schema name for structured extraction | +| `detect_signatures` | boolean | `false` | Enable signature detection (uses quota) | +| `wait` | boolean | `true` | Wait for completion or return immediately | +| `demo` | boolean | `false` | Return sample data without API call | + +## 🛠️ Advanced Usage + +### Environment Variables + +You can set environment variables for your project: + +```bash +agentuity env set TENSORLAKE_API_KEY your_api_key +``` + +### Secrets Management + +For sensitive information, use secrets: + +```bash +agentuity env set --secret TENSORLAKE_API_KEY your_api_key +``` + +### Adding Custom Schemas + +Define your own Pydantic model in `agent.py`: + +```python +class MyCustomSchema(BaseModel): + field_one: str + field_two: int + +# Register it in the SCHEMAS dict: +SCHEMAS["my-custom"] = MyCustomSchema +``` + +Then use `"schema": "my-custom"` in your requests. + +## 📖 Documentation + +- **Agentuity SDK**: [agentuity.dev/SDKs/python](https://agentuity.dev/SDKs/python) +- **TensorLake Docs**: [docs.tensorlake.ai](https://docs.tensorlake.ai) +- **Sample Document**: [tlake.link/lease-agreement](https://tlake.link/lease-agreement) + +## 🆘 Troubleshooting + +If you encounter any issues: + +1. Check the [Agentuity documentation](https://agentuity.dev/SDKs/python) +2. Check the [TensorLake documentation](https://docs.tensorlake.ai) +3. Join the [Agentuity Discord community](https://discord.gg/agentuity) for support +4. Contact the Agentuity support team + +## 📝 License + +This project is licensed under the terms specified in the LICENSE file. diff --git a/agents/tensorlake/tensorlake-agent/agentuity.yaml b/agents/tensorlake/tensorlake-agent/agentuity.yaml new file mode 100644 index 00000000..16d98bf3 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/agentuity.yaml @@ -0,0 +1,70 @@ +# yaml-language-server: $schema=https://raw.githubusercontent.com/agentuity/cli/refs/heads/main/agentuity.schema.json + +# ------------------------------------------------ +# This file is generated by Agentuity +# You should check this file into version control +# ------------------------------------------------ + +# The version semver range required to run this project +version: '>=0.0.179' +# The ID of the project which is automatically generated +project_id: proj_0cd5516a3e32573c9756f18dcd35fa7f +# The name of the project which is editable +name: tensorlake-agent +# The description of the project which is editable +description: "TensorLake Document AI agent for parsing documents and extracting structured data" +# The development configuration for the project +development: + # The port to run the development server on which can be overridden by setting the PORT environment variable + port: 3500 + watch: + # Whether to watch for changes and automatically restart the server + enabled: true + # Rules for files to watch for changes + files: + - agentuity_agents/** + # The command to run the development server + command: uv + # The arguments to pass to the development server + args: + - run + - --env-file + - .env + - --env-file + - .env.development + - server.py +deployment: + command: uv + args: + - run + - server.py + # You should tune the resources for the deployment + resources: + # The memory requirements + memory: 250Mi + # The CPU requirements + cpu: 500M + # The disk size requirements + disk: 300Mi + # The deployment mode + mode: + # on-demand or provisioned + type: on-demand +# You should not need to change these value +bundler: + enabled: true + identifier: python-uv + language: python + runtime: uv + agents: + dir: agentuity_agents + ignore: + - '**/__pycache__/**' +# The agents that are part of this project +agents: + - # The ID of the Agent which is automatically generated + id: agent_81f145e75d4457212767b5bd77c19de9 + # The name of the Agent which is editable + name: tensorlake_agent + # The description of the Agent which is editable + description: An agent that triggers and monitors TensorLake applications for distributed, durable Python workflows diff --git a/agents/tensorlake/tensorlake-agent/agentuity_agents/__init__.py b/agents/tensorlake/tensorlake-agent/agentuity_agents/__init__.py new file mode 100644 index 00000000..08a1c156 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/agentuity_agents/__init__.py @@ -0,0 +1 @@ +# This file is intentionally left blank. diff --git a/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/__init__.py b/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/__init__.py new file mode 100644 index 00000000..08a1c156 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/__init__.py @@ -0,0 +1 @@ +# This file is intentionally left blank. diff --git a/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/agent.py b/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/agent.py new file mode 100644 index 00000000..4c60995c --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/agentuity_agents/tensorlake_agent/agent.py @@ -0,0 +1,463 @@ +""" +TensorLake Agent - Document AI & Distributed Applications + +This agent provides: +1. Document parsing with signature detection +2. Structured data extraction from documents +3. Text analysis using TensorLake distributed functions +""" + +import os +import re +import json +from typing import List, Tuple, Optional +from pydantic import BaseModel +from agentuity import AgentRequest, AgentResponse, AgentContext + +# TensorLake imports +from tensorlake.applications import application, function, run_local_application, Request +from tensorlake.documentai import DocumentAI, ParseStatus, ParsingOptions, StructuredExtractionOptions + + +# ============================================================================ +# Document AI Schemas +# ============================================================================ + +class Buyer(BaseModel): + """Schema for buyer information extraction.""" + buyer_name: str + buyer_signature_date: str + buyer_signed: bool + + +class Seller(BaseModel): + """Schema for seller information extraction.""" + seller_name: str + seller_signature_date: str + seller_signed: bool + + +class RealEstateSchema(BaseModel): + """Schema for real estate document extraction.""" + buyer: Buyer + seller: Seller + + +class InvoiceLineItem(BaseModel): + """Schema for invoice line items.""" + description: str + quantity: int + unit_price: float + total: float + + +class InvoiceSchema(BaseModel): + """Schema for invoice extraction.""" + invoice_number: str + invoice_date: str + vendor_name: str + total_amount: float + line_items: List[InvoiceLineItem] + + +class ContractParty(BaseModel): + """Schema for contract party extraction.""" + name: str + role: str + signed: bool + signature_date: Optional[str] = None + + +class ContractSchema(BaseModel): + """Schema for general contract extraction.""" + contract_type: str + effective_date: str + parties: List[ContractParty] + key_terms: List[str] + + +# Schema registry for easy lookup +SCHEMAS = { + "real-estate": RealEstateSchema, + "invoice": InvoiceSchema, + "contract": ContractSchema, +} + + +# ============================================================================ +# Text Analysis Functions (Distributed TensorLake) +# ============================================================================ + +EXCLUDE = { + "the", "and", "of", "to", "in", "a", "is", "for", "on", "as", "by", "with", + "that", "from", "at", "an", "be", "it", "or", "are", "was", "this", "which", + "also", "has", "have", "had", "been", "will", "would", "could", "should" +} + + +@function(description="Return top-K non-stopword tokens from a text blob") +def topk_words(text: str, k: int = 25) -> List[Tuple[str, int]]: + """Extract the most frequent words from text, excluding common stopwords.""" + counts = {} + for tok in re.findall(r"[A-Za-z]{2,}", text.lower()): + if tok in EXCLUDE: + continue + counts[tok] = counts.get(tok, 0) + 1 + return sorted(counts.items(), key=lambda x: x[1], reverse=True)[:k] + + +class AnalyzeTextRequest(BaseModel): + """Request parameters for text analysis.""" + text: str + k: int = 25 + + +@application() +@function() +def analyze_text(request: AnalyzeTextRequest) -> dict: + """TensorLake application for text analysis.""" + topk = topk_words(request.text, request.k) + return { + "total_unique_words": len(set(re.findall(r"[A-Za-z]{2,}", request.text.lower()))), + "k": request.k, + "topk": topk + } + + +# ============================================================================ +# Agentuity Agent Handler +# ============================================================================ + +def welcome(): + """Welcome message with example prompts.""" + return { + "welcome": "Welcome to the TensorLake Agent! I can parse documents, extract structured data, and analyze text.", + "prompts": [ + { + "data": '{"action": "parse", "schema": "real-estate", "demo": true}', + "contentType": "application/json" + }, + { + "data": '{"action": "parse", "file_url": "https://tlake.link/lease-agreement", "schema": "real-estate"}', + "contentType": "application/json" + }, + { + "data": '{"action": "analyze", "text": "TensorLake is a platform for distributed Python applications.", "k": 5}', + "contentType": "application/json" + } + ] + } + + +async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): + """ + Main agent handler. + + Actions: + - "parse": Parse a document with optional signature detection and schema extraction + - "status": Check status of a parse job + - "analyze": Run text analysis locally via TensorLake + - "schemas": List available extraction schemas + """ + try: + # Parse request + data = await request.data.json() + + if data is None: + return response.json({ + "message": "TensorLake Document AI Agent ready", + "actions": { + "parse": "Parse a document with signature detection and structured extraction", + "status": "Check status of a parse job", + "analyze": "Run text analysis locally", + "schemas": "List available extraction schemas" + }, + "example_parse": { + "action": "parse", + "file_url": "https://tlake.link/lease-agreement", + "schema": "real-estate", + "detect_signatures": True + } + }) + + action = data.get("action", "parse") + + # ==================================================================== + # Parse Document with DocumentAI + # ==================================================================== + if action == "parse": + file_url = data.get("file_url") or data.get("file") + schema_name = data.get("schema") + # Default to False to avoid quota issues - set to True if you have quota + detect_signatures = data.get("detect_signatures", False) + wait_for_result = data.get("wait", True) + demo_mode = data.get("demo", False) + + # Demo mode - return sample data without hitting the API + if demo_mode: + context.logger.info("Running in DEMO mode - returning sample data") + + demo_responses = { + "real-estate": { + "status": "success", + "mode": "demo", + "parse_id": "demo_real_estate_001", + "structured_data": [{ + "buyer": { + "buyer_name": "Nova Ellison", + "buyer_signature_date": "September 10, 2025", + "buyer_signed": True + }, + "seller": { + "seller_name": "Juno Vega", + "seller_signature_date": "September 10, 2025", + "seller_signed": True + } + }], + "chunk_count": 10, + "chunk_preview": [ + {"index": 0, "content_preview": "## RESIDENTIAL REAL ESTATE PURCHASE AGREEMENT\n\nI. THE PARTIES. This Real Estate Purchase Agreement..."}, + {"index": 1, "content_preview": "II. LEGAL DESCRIPTION. The real property is a: Single-Family Home\nStreet Address: 789 Solution Ln..."}, + {"index": 2, "content_preview": "IV. EARNEST MONEY. After acceptance by all Parties, the Buyer agrees to make a payment of $10,000..."} + ], + "signatures_detected": [ + {"page": 1, "type": "initials", "signer": "buyer"}, + {"page": 1, "type": "initials", "signer": "seller"}, + {"page": 10, "type": "full_signature", "signer": "Nova Ellison (Buyer)"}, + {"page": 10, "type": "full_signature", "signer": "Juno Vega (Seller)"}, + {"page": 10, "type": "full_signature", "signer": "Aster Polaris (Agent)"} + ] + }, + "invoice": { + "status": "success", + "mode": "demo", + "parse_id": "demo_invoice_001", + "structured_data": [{ + "invoice_number": "INV-2025-0042", + "invoice_date": "2025-12-01", + "vendor_name": "TensorLake Cloud Services", + "total_amount": 1549.99, + "line_items": [ + {"description": "DocumentAI Pro - Monthly", "quantity": 1, "unit_price": 999.99, "total": 999.99}, + {"description": "Signature Detection (500 pages)", "quantity": 1, "unit_price": 350.00, "total": 350.00}, + {"description": "API Calls Overage", "quantity": 2000, "unit_price": 0.10, "total": 200.00} + ] + }], + "chunk_count": 2 + }, + "contract": { + "status": "success", + "mode": "demo", + "parse_id": "demo_contract_001", + "structured_data": [{ + "contract_type": "Service Agreement", + "effective_date": "2025-01-01", + "parties": [ + {"name": "Acme Corp", "role": "Client", "signed": True, "signature_date": "2024-12-15"}, + {"name": "TensorLake Inc", "role": "Provider", "signed": True, "signature_date": "2024-12-16"} + ], + "key_terms": [ + "12-month term with auto-renewal", + "99.9% uptime SLA", + "30-day termination notice required", + "Confidentiality clause included" + ] + }], + "chunk_count": 8 + } + } + + # Return demo data for the requested schema + if schema_name and schema_name in demo_responses: + return response.json(demo_responses[schema_name]) + else: + # Generic demo response + return response.json({ + "status": "success", + "mode": "demo", + "parse_id": "demo_generic_001", + "message": "Demo mode - specify a schema for richer sample data", + "available_schemas": list(SCHEMAS.keys()), + "chunk_count": 5, + "chunk_preview": [ + {"index": 0, "content_preview": "This is a sample document chunk from demo mode..."} + ] + }) + + if not file_url: + return response.json({ + "error": "Missing file_url", + "example": { + "action": "parse", + "file_url": "https://tlake.link/lease-agreement", + "schema": "real-estate", + "detect_signatures": False + }, + "note": "Set detect_signatures: true only if you have signature detection quota" + }) + + context.logger.info("Parsing document: %s (signatures: %s)", file_url, detect_signatures) + + # Initialize DocumentAI client + doc_ai = DocumentAI() + + # Configure parsing options + parsing_options = ParsingOptions(signature_detection=detect_signatures) + + # Configure structured extraction if schema provided + extraction_options = None + if schema_name and schema_name in SCHEMAS: + extraction_options = [ + StructuredExtractionOptions( + schema_name=schema_name, + json_schema=SCHEMAS[schema_name] + ) + ] + context.logger.info("Using schema: %s", schema_name) + + # Submit parse job + parse_id = doc_ai.parse( + file=file_url, + parsing_options=parsing_options, + structured_extraction_options=extraction_options, + ) + + context.logger.info("Parse job submitted: %s", parse_id) + + # If not waiting, return the parse_id immediately + if not wait_for_result: + return response.json({ + "status": "submitted", + "parse_id": parse_id, + "message": "Use 'status' action to check progress" + }) + + # Wait for completion + context.logger.info("Waiting for parse completion...") + result = doc_ai.wait_for_completion(parse_id) + + if result.status == ParseStatus.FAILURE: + error_msg = getattr(result, 'error', None) or "Document parsing failed" + context.logger.error("Parse job failed: %s", error_msg) + + # Check if it's a quota error and suggest retry without signatures + if "quota" in str(error_msg).lower() or "signature" in str(error_msg).lower(): + return response.json({ + "status": "failed", + "parse_id": parse_id, + "error": str(error_msg), + "suggestion": "Try again with detect_signatures: false to avoid quota limits" + }) + + return response.json({ + "status": "failed", + "parse_id": parse_id, + "error": str(error_msg) + }) + + context.logger.info("Parse completed successfully") + + # Build response + response_data = { + "status": "success", + "parse_id": parse_id, + } + + # Add structured data if available + if result.structured_data: + response_data["structured_data"] = [ + sd.data for sd in result.structured_data + ] + + # Add chunk summaries (first 5 chunks) + if result.chunks: + response_data["chunk_count"] = len(result.chunks) + response_data["chunk_preview"] = [ + { + "index": i, + "content_preview": chunk.content[:200] + "..." if len(chunk.content) > 200 else chunk.content + } + for i, chunk in enumerate(result.chunks[:5]) + ] + + return response.json(response_data) + + # ==================================================================== + # Check Parse Status + # ==================================================================== + elif action == "status": + parse_id = data.get("parse_id") + + if not parse_id: + return response.json({"error": "Missing parse_id"}) + + doc_ai = DocumentAI() + result = doc_ai.wait_for_completion(parse_id) + + response_data = { + "parse_id": parse_id, + "status": "success" if result.status == ParseStatus.SUCCESS else "failed" + } + + if result.structured_data: + response_data["structured_data"] = [ + sd.data for sd in result.structured_data + ] + + if result.chunks: + response_data["chunk_count"] = len(result.chunks) + + return response.json(response_data) + + # ==================================================================== + # List Available Schemas + # ==================================================================== + elif action == "schemas": + schemas_info = {} + for name, schema_class in SCHEMAS.items(): + schemas_info[name] = { + "description": schema_class.__doc__ or f"Schema for {name} extraction", + "fields": list(schema_class.model_fields.keys()) + } + + return response.json({ + "available_schemas": schemas_info, + "usage": "Include 'schema': '' in your parse request" + }) + + # ==================================================================== + # Text Analysis (Local TensorLake) + # ==================================================================== + elif action == "analyze": + text = data.get("text", "") + k = data.get("k", 25) + + if not text: + return response.json({"error": "No text provided for analysis"}) + + context.logger.info("Running local TensorLake analysis with k=%d", k) + + tl_request: Request = run_local_application( + analyze_text, + AnalyzeTextRequest(text=text, k=k) + ) + output = tl_request.output() + + return response.json({ + "status": "success", + "mode": "local", + "result": output + }) + + else: + return response.json({ + "error": f"Unknown action: {action}", + "valid_actions": ["parse", "status", "analyze", "schemas"] + }) + + except Exception as e: + context.logger.error("Error in TensorLake agent: %s", str(e)) + return response.json({ + "error": str(e), + "type": type(e).__name__ + }) diff --git a/agents/tensorlake/tensorlake-agent/main.py b/agents/tensorlake/tensorlake-agent/main.py new file mode 100644 index 00000000..de230a1d --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/main.py @@ -0,0 +1,6 @@ +def main(): + print("Hello from tensorlake-agent!") + + +if __name__ == "__main__": + main() diff --git a/agents/tensorlake/tensorlake-agent/pyproject.toml b/agents/tensorlake/tensorlake-agent/pyproject.toml new file mode 100644 index 00000000..6610bf78 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/pyproject.toml @@ -0,0 +1,10 @@ +[project] +name = "tensorlake-agent" +version = "0.1.0" +description = "TensorLake Document AI agent for parsing documents and extracting structured data" +requires-python = ">=3.10, <3.13" +dependencies = [ + "agentuity>=0.0.106", + "tensorlake>=0.1.0", + "pydantic>=2.0.0", +] diff --git a/agents/tensorlake/tensorlake-agent/server.py b/agents/tensorlake/tensorlake-agent/server.py new file mode 100644 index 00000000..e8a5e7ec --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/server.py @@ -0,0 +1,36 @@ +from agentuity import autostart +import logging +import os +import sys + +if __name__ == "__main__": + # Check if AGENTUITY_API_KEY is set + if not os.environ.get("AGENTUITY_API_KEY") and not os.environ.get( + "AGENTUITY_SDK_KEY" + ): + print( + "\033[31m[ERROR] AGENTUITY_SDK_KEY is not set. This should have been set automatically by the Agentuity CLI or picked up from the .env file.\033[0m" + ) + if os.environ.get("_", "").endswith("uv") and os.path.exists(".env"): + print( + "\033[31m[ERROR] Re-run the command with `uv run --env-file .env server.py`\033[0m" + ) + sys.exit(1) + + # Check if AGENTUITY_TRANSPORT_URL is set + if not os.environ.get("AGENTUITY_TRANSPORT_URL"): + print( + "\033[31m[WARN] You are running this agent outside of the Agentuity environment. Any automatic Agentuity features will be disabled.\033[0m" + ) + print( + "\033[31m[WARN] Recommend running `agentuity dev` to run your project locally instead of `python script`.\033[0m" + ) + + # Setup logging after environment checks + logging.basicConfig( + stream=sys.stdout, + level=logging.INFO, + format="[%(levelname)-5.5s] %(message)s", + ) + + autostart() diff --git a/agents/tensorlake/tensorlake-agent/uv.lock b/agents/tensorlake/tensorlake-agent/uv.lock new file mode 100644 index 00000000..2d96e031 --- /dev/null +++ b/agents/tensorlake/tensorlake-agent/uv.lock @@ -0,0 +1,2598 @@ +version = 1 +revision = 2 +requires-python = ">=3.10, <3.13" + +[[package]] +name = "agentuity" +version = "0.0.106" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "aiohttp" }, + { name = "aiohttp-sse" }, + { name = "asyncio" }, + { name = "httpx" }, + { name = "mail-parser" }, + { name = "openai-agents" }, + { name = "opentelemetry-api" }, + { name = 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