System Prompt Service - Complete Developer Documentation¶

POST /v2/upload-text
Content-Type: multipart/form-data

file=@sales_openai35_prompt.txt
model=openai-35
agent_type=Sales-Agent

if not file.filename.endswith(".txt"):
    raise HTTPException(status_code=400, detail="Only .txt files are allowed.")

result = system_prompt_collection.update_one(
    {
        "filename": file.filename,
        "model": model,
        "agent_type": agent_type
    },
    {"$set": document},
    upsert=True  # Insert if not found, update if exists
)

action = "updated" if result.matched_count > 0 else "inserted"

{
  "message": "File inserted successfully",
  "filename": "sales_openai35_prompt.txt",
  "model": "openai-35",
  "agent_type": "Sales-Agent"
}

{
  "message": "File updated successfully",
  "filename": "sales_openai35_prompt.txt",
  "model": "openai-35",
  "agent_type": "Sales-Agent"
}

content = await file.read()
text_content = content.decode("utf-8")

document = {
    "filename": file.filename,
    "model": model,
    "agent_type": agent_type,
    "content": text_content,
    "uploaded_at": datetime.now(pytz.utc)
}

You are a helpful sales assistant for our company. Your primary goal is to:

1. Understand customer needs
2. Recommend appropriate products or services
3. Handle objections professionally
4. Guide customers towards a purchase decision

Always maintain a friendly, professional tone. Be persuasive but not pushy.
Use the customer's name when appropriate. Focus on benefits, not just features.

If you don't know the answer to a question, be honest and offer to find out more information.

GET /v2/get-uploaded-texts

GET /v2/get-uploaded-texts?model=openai-35

GET /v2/get-uploaded-texts?agent_type=Sales-Agent

GET /v2/get-uploaded-texts?model=openai-35&agent_type=Sales-Agent

query = {}
if model:
    query["model"] = model
if agent_type:
    query["agent_type"] = agent_type

results = list(system_prompt_collection.find(query, {"_id": 0}))

{
  "results": [
    {
      "filename": "sales_openai35_prompt.txt",
      "model": "openai-35",
      "agent_type": "Sales-Agent",
      "content": "You are a helpful sales assistant...",
      "uploaded_at": "2025-01-15T14:00:00+00:00"
    },
    {
      "filename": "service_openai35_prompt.txt",
      "model": "openai-35",
      "agent_type": "Service-Agent",
      "content": "You are a customer service representative...",
      "uploaded_at": "2025-01-15T14:05:00+00:00"
    }
  ]
}

{
  "detail": "No matching documents found."
}

You are an expert sales consultant representing our company. Your role is to:

1. Qualify leads by understanding their needs and pain points
2. Present solutions that align with their requirements
3. Handle objections using the LAER framework (Listen, Acknowledge, Explore, Respond)
4. Close deals by creating urgency while maintaining trust

Communication Style:
- Be consultative, not pushy
- Ask open-ended questions
- Listen actively and paraphrase to show understanding
- Use social proof and case studies when appropriate

Remember: Your goal is to help customers make informed decisions, not just to sell.

You are a dedicated customer service representative. Your mission is to:

1. Resolve customer issues quickly and effectively
2. Maintain a positive, empathetic tone even when dealing with complaints
3. Take ownership of problems and follow through to resolution
4. Educate customers on product features and best practices

Guidelines:
- Always greet customers warmly
- Apologize sincerely when appropriate
- Provide clear, step-by-step solutions
- Offer alternatives if the first solution doesn't work
- End interactions by confirming customer satisfaction

Your success is measured by customer happiness, not just issue resolution.

You are a certified fitness coach with expertise in personalized training programs. Your role:

1. Assess client fitness levels and goals
2. Design safe, effective workout routines
3. Provide nutritional guidance (general, not medical advice)
4. Motivate and encourage clients through their fitness journey

Approach:
- Start by understanding current fitness level and any limitations
- Set SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound)
- Focus on progressive overload and proper form
- Emphasize consistency over intensity for beginners
- Celebrate small wins to maintain motivation

Safety First: Always advise consulting a doctor before starting new exercise programs.

{
    "_id": ObjectId("..."),
    "filename": "sales_openai35_prompt.txt",
    "model": "openai-35",
    "agent_type": "Sales-Agent",
    "content": "You are a helpful sales assistant for our company...",
    "uploaded_at": ISODate("2025-01-15T14:00:00Z")
}

// Composite index for efficient lookups
db.system_prompts.createIndex({ model: 1, agent_type: 1 });

// Unique index to prevent duplicates
db.system_prompts.createIndex(
  { filename: 1, model: 1, agent_type: 1 },
  { unique: true }
);

db.system_prompts.find({ model: "openai-35" });

db.system_prompts.findOne({
  model: "openai-35",
  agent_type: "Sales-Agent",
});

db.system_prompts.countDocuments({});
// Expected: ~66 (11 models × 6 agents)

# In selection-chatbot-service (lines 264-268)
system_prompt = system_prompt_collection.find_one({
    "chatbot_purpose": chatbot_purpose,  # "Service Bot" → mapped to "Service-Agent"
    "model": selection_model.lower()      # "openai-35"
})

content = system_prompt.get("content", "")

# system_prompts_user collection
user_system_prompt_collection.insert_one({
    "user_id": user_id,
    "project_id": project_id,
    "chatbot_purpose": chatbot_purpose,
    "model": selection_model,
    "system_prompt": content,  # From this service!
    "created_at": datetime.utcnow().isoformat()
})

FROM python:3.9-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY src/ .

EXPOSE 8009

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8009"]

systemprompt-service:
  build: ./systemprompt-service
  container_name: systemprompt-service
  ports:
    - "8009:8009"
  networks:
    - app-network
  labels:
    - "logging=loki"
    - "app=machine-agent-app"
  environment:
    - MONGO_URI=${MONGO_URI}
    - MONGO_DB_NAME=Machine_agent_demo
    - DD_SERVICE=systemprompt-service
    - DD_ENV=production
  restart: always

fastapi>=0.95.0
uvicorn[standard]>=0.22.0
pymongo>=4.3.3
python-multipart>=0.0.6
python-dotenv>=1.0.0
pytz>=2023.3
tiktoken>=0.5.0  # Token counting (not used in current code)
ddtrace>=1.19.0

import requests

models = ["openai-4", "openai-35", "mistral", "gemini-flash-25"]
agents = ["Sales-Agent", "Service-Agent", "Fitness coach"]

for model in models:
    for agent in agents:
        filename = f"{agent.lower().replace(' ', '_')}_{model}.txt"

        with open(f"prompts/{filename}", "rb") as f:
            files = {"file": f}
            data = {
                "model": model,
                "agent_type": agent
            }

            response = requests.post(
                "http://localhost:8009/v2/upload-text",
                files=files,
                data=data
            )

            print(f"{filename}: {response.json()['message']}")

import requests

response = requests.get(
    "http://localhost:8009/v2/get-uploaded-texts",
    params={
        "model": "openai-35",
        "agent_type": "Sales-Agent"
    }
)

prompts = response.json()["results"]
if prompts:
    print(prompts[0]["content"])