Ai & Machine Learning

Metatextai

Learn how to use Metatextai with Composio

Overview

SLUG: METATEXTAI

Description

Metatext AI specializes in natural language processing and text generation, helping organizations automate writing tasks, sentiment analysis, or content moderation

Authentication Details

generic_api_key
stringRequired

Connecting to Metatextai

Create an auth config

Use the dashboard to create an auth config for the Metatextai toolkit. This allows you to connect multiple Metatextai accounts to Composio for agents to use.

1

Select App

Navigate to Metatextai.

2

Configure Auth Config Settings

Select among the supported auth schemes of and configure them here.

3

Create and Get auth config ID

Click “Create Metatextai Auth Config”. After creation, copy the displayed ID starting with ac_. This is your auth config ID. This is not a sensitive ID — you can save it in environment variables or a database. This ID will be used to create connections to the toolkit for a given user.

Connect Your Account

Using API Key

1from composio import Composio
2
3# Replace these with your actual values
4metatextai_auth_config_id = "ac_YOUR_METATEXTAI_CONFIG_ID" # Auth config ID created above
5user_id = "0000-0000-0000"  # UUID from database/app
6
7composio = Composio()
8
9def authenticate_toolkit(user_id: str, auth_config_id: str):
10    # Replace this with a method to retrieve an API key from the user.
11    # Or supply your own.
12    user_api_key = input("[!] Enter API key")
13
14    connection_request = composio.connected_accounts.initiate(
15        user_id=user_id,
16        auth_config_id=auth_config_id,
17        config={"auth_scheme": "API_KEY", "val": {"generic_api_key": user_api_key}}
18    )
19
20    # API Key authentication is immediate - no redirect needed
21    print(f"Successfully connected Metatextai for user {user_id}")
22    print(f"Connection status: {connection_request.status}")
23    
24    return connection_request.id
25
26
27connection_id = authenticate_toolkit(user_id, metatextai_auth_config_id)
28
29# You can verify the connection using:
30connected_account = composio.connected_accounts.get(connection_id)
31print(f"Connected account: {connected_account}")

Tools

Executing tools

To prototype you can execute some tools to see the responses and working on the Metatextai toolkit’s playground

Python
1from composio import Composio
2from openai import OpenAI
3import json
4
5openai = OpenAI()
6composio = Composio()
7
8# User ID must be a valid UUID format
9user_id = "0000-0000-0000"  # Replace with actual user UUID from your database
10
11tools = composio.tools.get(user_id=user_id, toolkits=["METATEXTAI"])
12
13print("[!] Tools:")
14print(json.dumps(tools))
15
16def invoke_llm(task = "What can you do?"):
17    completion = openai.chat.completions.create(
18        model="gpt-4o",
19        messages=[
20            {
21                "role": "user",
22                "content": task,  # Your task here!
23            },
24        ],
25        tools=tools,
26    )
27
28    # Handle Result from tool call
29    result = composio.provider.handle_tool_calls(user_id=user_id, response=completion)
30    print(f"[!] Completion: {completion}")
31    print(f"[!] Tool call result: {result}")
32
33invoke_llm()

Tool List

Tool Name: Chat Completions

Description

Tool to generate chat completions. Use when you need OpenAI-compatible conversational responses.

Action Parameters

max_tokens
integerDefaults to 100
messages
array
model
stringRequired
project
string
prompt
string
stop
string
temperature
numberDefaults to 0.2

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Classify Text

Description

Tool to classify text. Use when you need to obtain labels and confidence scores from a trained MetatextAI model for given text.

Action Parameters

model
string
options
object
project_id
stringRequired
text
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Create Policy Guardrails

Description

Tool to create a policy guardrail. Use when you need to define automated guardrails for content in a specific application.

Action Parameters

application_id
stringRequired
definition
string
id
stringRequired
override_response
string
rules
arrayRequired
target
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Delete Guardrail Policy

Description

Tool to delete a guardrail policy. Use when you need to remove a policy by ID for a specific application after confirming valid application and policy IDs.

Action Parameters

application_id
stringRequired
policy_id
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Evaluate Messages

Description

Tool to evaluate LLM messages against policies/guardrails. Use after generating model output to get violation details or corrections.

Action Parameters

application
string
correction_enabled
boolean
fail_fast
booleanDefaults to True
messages
arrayRequired
override_response
string
policies
array
policy_ids
array

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Run Extraction

Description

Tool to run information extraction. Use when you need to extract structured data from text.

Action Parameters

model
string
options
object
project_id
stringRequired
text
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Generate Text

Description

Tool to generate text for a project model. Use when you need LLM completions or chat responses. Supports both prompt and message-based inputs with temperature, stop-sequence, and token limits.

Action Parameters

max_tokens
integerDefaults to 100
messages
array
model
stringRequired
project_id
stringRequired
prompt
string
stop
string
temperature
numberDefaults to 0.2

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: List Applications

Description

Tool to retrieve a list of all existing applications. Use when you need to view application IDs, names, and descriptions.

Action Parameters

limit
integer
offset
integer
search
string
tag
string

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: List Models

Description

Tool to retrieve a list of all available models and their supported tasks. Use when you need to choose an appropriate model for chat completions.

Action Parameters

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: List Guardrail Policies

Description

Tool to list all guardrail policies for a specific application. Use after obtaining an application ID to inspect its configured policies.

Action Parameters

application_id
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: List Red Team Test Probes

Description

Tool to list all available red team test probes. Use when you need to discover available probes for red teaming.

Action Parameters

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Run Red Team Test Scan

Description

Tool to run a vulnerability red-team test scan. Use when you need to execute probes against an application.

Action Parameters

application
stringRequired
probes
array

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Update Policy Guardrails

Description

Tool to update an existing policy's guardrails. Use when you need to modify a policy's rules after confirming it exists.

Action Parameters

application_id
stringRequired
definition
string
id
stringRequired
override_response
string
policy_id
stringRequired
rules
arrayRequired
target
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired