Document Parser Agent

Agent ID: document-parser-agent

Agent Overview

Extracts text and structured information from documents.

Task Description:

Utilizes OCR and AI models to parse PDFs, images, and other document formats to extract text and identify key-value pairs or tables.

Reusability:

Reusable Component

Agent Type:

Simple AI (Prompt-driven)

Implementation Notes:

Genkit flow with Gemini (or similar model with multimodal capabilities) for OCR and information extraction. Can handle various layouts.

Supporting Teams

Teams responsible for the continuous improvement and monitoring of this agent's efficacy.

AI Core Services

Performance & Evaluation Metrics

Key indicators of this agent's operational effectiveness and continuous improvement strategy.

Last Evaluated

2024-07-28

Accuracy

95.0%

Latency

avg 1.8s/doc

Cost Per Interaction

$0.009/doc

General Evaluation Notes

Accuracy depends on document quality and layout complexity.

Interaction & Capabilities (A2A)

Information relevant for Agent-to-Agent communication and skill definition.

Identity (Core A2A):

Name: Document Parser Agent
Unique ID: document-parser-agent

Primary Function (A2A):

Utilizes OCR and AI models to parse PDFs, images, and other document formats to extract text and identify key-value pairs or tables.

Defined Agent Skills (A2A Interface):

Skill Orchestration & Execution

The operational logic for this agent, including the invocation and management of its defined skills, is handled by the backend system's orchestration layer. This layer is responsible for the agent's execution sequence, data handling according to its skill schemas, and any necessary interactions with tools or external services. The specific method (e.g., AI model call, deterministic code execution) is detailed in the 'Implementation Notes' within the Agent Overview.

Agent Card JSON (Definition)

The raw JSON representation of this agent's definition, including its skills and evaluation metrics.

{
  "id": "document-parser-agent",
  "name": "Document Parser Agent",
  "description": "Extracts text and structured information from documents.",
  "isReusable": true,
  "taskDescription": "Utilizes OCR and AI models to parse PDFs, images, and other document formats to extract text and identify key-value pairs or tables.",
  "icon": {
    "displayName": "FileText"
  },
  "agentType": "ai-simple",
  "implementationNotes": "Genkit flow with Gemini (or similar model with multimodal capabilities) for OCR and information extraction. Can handle various layouts.",
  "responsibleTeamIds": [
    "team-ai-core"
  ],
  "skills": [
    {
      "id": "parse-document-content",
      "name": "Parse Document Content",
      "description": "Extracts text and structured data from a document.",
      "inputSchemaExample": "{\n  \"properties\": {\n    \"documentReference\": {\n      \"type\": \"string\"\n    },\n    \"documentTypeHint\": {\n      \"type\": \"string\"\n    }\n  }\n}",
      "outputSchemaExample": "{\n  \"properties\": {\n    \"extractedText\": {\n      \"type\": \"string\"\n    },\n    \"structuredData\": {\n      \"type\": \"object\"\n    }\n  }\n}"
    }
  ],
  "evaluation": {
    "lastEvaluated": "2024-07-28",
    "accuracy": 0.95,
    "latency": "avg 1.8s/doc",
    "costPerInteraction": "$0.009/doc",
    "notes": "Accuracy depends on document quality and layout complexity."
  },
  "inputs": [
    "gds-raw-document-data"
  ],
  "outputs": [
    "gds-parsed-document-content"
  ]
}