# Poki SafeTalk (`vikkyalayemie/poki-safetalk`) Actor

Culturally-aware, crisis-safe AI conversation in English, Pidgin, Yoruba, Igbo, and Hausa -- with guaranteed handoff to verified Nigerian helplines when risk language is detected.

- **URL**: https://apify.com/vikkyalayemie/poki-safetalk.md
- **Developed by:** [Victoria Alayemie](https://apify.com/vikkyalayemie) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Poki SafeTalk

Culturally-aware, crisis-safe AI conversation in **English, Pidgin, Yoruba, Igbo, and Hausa** — built on Meta's Llama 3.3-70B via Groq, with a guaranteed, deterministic handoff to a verified Nigerian crisis helpline whenever risk language is detected.

This is the same safety-first conversational engine built for [Poki](https://github.com/VikkyRia/MindMate-Deploy), an AI mental health companion for Nigerians — packaged here so other builders (chatbots, HR/wellness platforms, telehealth tools) can integrate safe, native-language emotional support without building the multilingual and safety architecture from scratch.

### Why this exists

Most AI infrastructure ignores Nigerian Pidgin and indigenous languages entirely, and most chatbot safety relies on hoping the model itself catches a crisis. This Actor solves both: genuine conversational fluency in five languages, and a crisis-detection layer that sits **outside** the AI model — so a mental-health emergency is never left to an LLM's judgment alone.

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `message` | string | Yes | The user's message to respond to |
| `language` | string | No (default: `english`) | One of `english`, `pidgin`, `yoruba`, `igbo`, `hausa` |
| `conversationHistory` | array | No | Prior turns for context: `[{ role: 'user'\|'assistant', content: string }]`. Only the last 10 are used. |

Example input:

```json
{
  "message": "I've been feeling really overwhelmed lately",
  "language": "pidgin"
}
```

### Output

```json
{
  "reply": "Ah, I hear you my friend...",
  "language": "pidgin",
  "riskFlag": false,
  "source": "llama-3.3-70b"
}
```

If `riskFlag` is `true`, `reply` contains verified Nigerian crisis-helpline contact information instead of a normal conversational response — the AI model is bypassed entirely for that turn.

`source` indicates how the reply was generated: `llama-3.3-70b` (normal AI response), `safety-layer` (crisis detected, deterministic response), `demo-mode` (no API key configured), or `error` (the AI call failed).

### Setup

This Actor requires a `GROQ_API_KEY` environment variable, set as a secret in the Actor's **Settings > Environment variables** in Apify Console. Get a free key at [console.groq.com](https://console.groq.com).

Optionally set `GROQ_MODEL` to override the default (`llama-3.3-70b-versatile`) — check [console.groq.com/docs/models](https://console.groq.com/docs/models) for current available models, as Groq's catalog changes over time.

### Example use cases

- Add safe, native-language mental health support to an existing HR or student-wellness chatbot
- Build a WhatsApp or Telegram bot for community mental health support in Nigerian languages
- Add a crisis-safety layer to any general-purpose chatbot serving Nigerian users

### Known limitations

Crisis-keyword detection currently has direct pattern coverage for **English and Pidgin**. Yoruba, Igbo, and Hausa crisis phrasing is not yet keyword-matched — the model is still instructed to respond carefully in all five languages, but guaranteed deterministic routing currently only fires on English/Pidgin triggers. Extending this with native-speaker-verified phrases is a priority next step.

# Actor input Schema

## `message` (type: `string`):

The user's message to respond to.

## `language` (type: `string`):

Which language to converse in.

## `conversationHistory` (type: `array`):

Prior turns for context, oldest first. Each item: { role: 'user' | 'assistant', content: string }. Only the last 10 are used.

## Actor input object example

```json
{
  "message": "Hello, I've been feeling a bit overwhelmed lately.",
  "language": "english",
  "conversationHistory": []
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vikkyalayemie/poki-safetalk").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("vikkyalayemie/poki-safetalk").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call vikkyalayemie/poki-safetalk --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vikkyalayemie/poki-safetalk"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iLgmElyZUT3PrVucX/builds/kvKi9zt7cbV9TDwKi/openapi.json