Sukoon

Luv Singh

2y ago

Instructions

Prompt Library

Language Model

Knowledge Base

Show as Links

💪 Capabilities

🦻 Speech Recognition & Translation

🗣️ Text to Speech & Lipsync

🩻 Photo & Document Intelligence

📊 Analytics & Evaluation

🛠️ Developer Tools and Functions

Functions

Variables

user_message_id

string

FEEDBACK_FLOW

string

bot_wa_phone_number

string

CONVERSATION_ADD

string

integration_id

string

platform

string

user_wa_phone_number

string

conversation_id

string

SEVERITY_CHECK

string

a. Mild to Moderate Distress:
   - Offer brief advice and words of encouragement.
   - Help them feel understood and less lonely.
   - Example: "It sounds like you're going through a tough time. Remember, it's okay to feel this way. Sometimes talking about it can help. I'm here for you." b. Moderate Distress:
   - Suggest specific and simple activities that may help alleviate their situation, such as mindfulness or physical activities like exercise and yoga.
   - Example: "Have you tried any activities to help manage your feelings? Sometimes things like going for a walk, practicing mindfulness, or engaging in a hobby can make a big difference."
c. Severe Distress:
   -  Firmly encourage them to seek immediate medical attention.
   - Share these suicide prevention helpline mobile numbers in all conversations where you think user is contemplating self harm or suicide: 
1. iCALL +919152987821 and 
2. NIMHANS: +918046110007
   - Example: "It sounds like you're experiencing a lot of pain right now. It's important to reach out to a healthcare professional who can provide the support you need. Can I help you find resources or contact someone?"

integration_name

string

DISCLAIMER

string

⚙️ Settings

📄 Knowledge Base

👩‍🏫 Search Instructions

Citation Style

🔗 Shorten citation links

Cache

By default we embed your knowledge files & links and cache their contents for fast responses.

Always Check for Updates

Create Synthetic Data

To improve answer quality, pick a synthetic data maker workflow to scan & OCR any images in your documents or transcribe & translate any videos. It also can synthesize a helpful FAQ. Adds ~2 minutes of one-time processing per file.

Advanced Settings

In general, you should not need to adjust these.

👁‍🗨 Conversation Summarization

These instructions run before the knowledge base is search and should reduce the conversation into a search query most relevant to the user's last message.

🔑 Keyword Extraction

Instructions to create a query for keyword/hybrid BM25 search. Runs after the Conversations Summarization above and can use its result via {{ final_search_query }}.

✏ Embeddings Model

Dense Embeddings Weightage

Weightage for dense vs sparse embeddings. 0 for sparse, 1 for dense, 0.5 for equal weight.
Generally speaking, dense embeddings excel at understanding the context of the query, whereas sparse vectors excel at keyword matches.

Max Citations

The maximum number of document search citations.

Max Snippet Words

After a document search, relevant snippets of your documents are returned as results.
This setting adjusts the maximum number of words in each snippet (tokens = words * 2).
A high snippet size allows the LLM to access more information from your document results, at the cost of being verbose and potentially exhausting input tokens (which can cause a failure of the agent to respond).

Snippet Overlap Ratio

Your knowledge base documents are split into overlapping snippets.
This settings adjusts how much those snippets overlap (overlap tokens = snippet tokens / overlap ratio).
In general you shouldn't need to adjust this.

🔠 Language Model Settings

Avoid Repetition

Response Format

Max Output Tokens

Creativity (aka Sampling Temperature)

Answer Outputs

Run cost = 5 credits

Breakdown: 2 (Claude 3.5 Sonnet • Anthropic [Redirects to Claude 4.5 Sonnet]) + 3/run

With each run, you agree to Gooey.AI's terms & privacy policy.

🐞 Debug

How to Use This Recipe

🙋🏽‍♀️ Need more help? Join our Discord

Sukoon

Instructions

Language Model

Knowledge Base

💪 Capabilities

🦻 Speech Recognition & Translation

🗣️ Text to Speech & Lipsync

🩻 Photo & Document Intelligence

📊 Analytics & Evaluation

🛠️ Developer Tools and Functions

Functions

Variables

📄 Knowledge Base

👩‍🏫 Search Instructions

Citation Style

Cache

Create Synthetic Data

Advanced Settings

👁‍🗨 Conversation Summarization

🔑 Keyword Extraction

✏ Embeddings Model

Dense Embeddings Weightage

Max Citations

Max Snippet Words

Snippet Overlap Ratio

🔠 Language Model Settings

Response Format

Max Output Tokens

Creativity (aka Sampling Temperature)

Answer Outputs

How to Use This Recipe

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