Modular AI subagents for document processing - DOCX editing, PDF filling, and more
Project description
morphllm
Modular AI subagents for document processing. Built for use with OpenAI-compatible APIs.
How It Works
Subagents follow the "Agents as Tools" pattern—specialized secondary agents that your main agent delegates to for domain-specific tasks:
┌─────────────────────┐
│ MAIN AGENT │
│ │
│ • Orchestrates │
│ • Plans │
│ • Delegates │
└──────────┬──────────┘
│
┌────────────────────────────┼────────────────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ DOCX AGENT │ │ PDF AGENT │ │ YOUR AGENT │
│ │ │ │ │ │
│ "Review this │ │ "Fill out │ │ Domain-specific│
│ contract" │ │ this form" │ │ capabilities │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Track changes │ │ Form filling │ │ Custom tools │
│ Comments │ │ Annotations │ │ & APIs │
│ Document edits │ │ (Coming soon) │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Installation
pip install morphllm
With OpenAI support:
pip install morphllm[openai]
Available Subagents
| Subagent | Description | Status |
|---|---|---|
| DOCX | Track changes, comments, and document editing | Available |
| Form filling and annotations | Coming Soon |
Quick Start
DOCX Client (Direct API Access)
from subagents.docx import DocxClient
client = DocxClient()
# Upload a document
doc_id = client.upload("contract.docx", user_id="user1", chat_id="chat1")
# Read content
content = client.read(doc_id)
# Add comments and track changes
client.edit(doc_id, "add_comment", para_text="Introduction", comment="Needs citation")
client.edit(doc_id, "insert_text", para_text="Introduction", after=".", new_text=" [1]")
# Download the edited document
client.download(doc_id, "contract_edited.docx")
DOCX Agent (AI-Powered)
from subagents.docx import DocxAgent
agent = DocxAgent(api_key="sk-...")
agent.set_document("userId/chatId/docId")
# Simple completion
response = agent.complete("Review this contract and flag any issues")
print(response)
# Full chat with history
result = agent.chat([
{"role": "user", "content": "Add comments to unclear sections"},
])
print(result["choices"][0]["message"]["content"])
# Streaming
for chunk in agent.chat_stream([
{"role": "user", "content": "Summarize the document"},
]):
delta = chunk.get("choices", [{}])[0].get("delta", {})
if "content" in delta:
print(delta["content"], end="", flush=True)
With OpenAI SDK
from openai import OpenAI
from subagents.docx import DocxAgent
agent = DocxAgent()
openai = OpenAI(**agent.openai_config())
response = openai.chat.completions.create(
model="morph-docx",
messages=[{"role": "user", "content": "Hello!"}],
)
Building Custom Subagents
Extend the base classes:
from subagents.core import BaseClient, BaseAgent
class MyClient(BaseClient):
def _default_api_url(self) -> str:
return "https://my-api.example.com"
def my_method(self):
return self._get("/my-endpoint")
class MyAgent(BaseAgent):
def _default_model(self) -> str:
return "gpt-4"
def _default_instructions(self) -> str:
return "You are a helpful assistant."
def _get_tools(self) -> list:
return [...]
def _execute_tool(self, name: str, args: dict) -> str:
...
Environment Variables
| Variable | Description | Default |
|---|---|---|
DOCX_API_URL |
DOCX service URL | https://api.subagents.com/v1/morph-docx |
MORPH_API_URL |
Chat completions base URL | https://api.subagents.com/v1 |
MORPH_API_KEY |
API key (optional) |
License
MIT
Project details
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