text-generation

Enhance Documentation Efficiency with DocsGPT 7b Mistral

26 Apr 2025
Enhance Documentation Efficiency with DocsGPT 7b Mistral

In today's fast-paced development environment, accessing accurate information quickly can make all the difference. The DocsGPT 7b Mistral service offers powerful Cognitive Actions designed to streamline the process of obtaining context-driven answers from extensive documentation. By leveraging advanced language models, developers and technical support teams can receive precise, relevant responses that enhance productivity and decision-making. Whether you are troubleshooting an issue, seeking clarification on a specific feature, or exploring new functionalities, using DocsGPT can significantly reduce the time spent sifting through documentation.

Prerequisites

To get started with DocsGPT, you will need a valid Cognitive Actions API key and a basic understanding of making API calls.

Optimize Docs with DocsGPT

This operation utilizes the DocsGPT-7b-Mistral model, which is specifically optimized for providing context-driven answers from documentation. Fine-tuned with the Lora process, it is particularly beneficial for developers and technical support teams who require precise answers from extensive documentation.

Input Requirements

To use this action, you need to provide a structured input object. The key elements include:

  • Prompt: A string that presents the question or instruction along with any necessary context.
  • Max Tokens: Defines how many tokens the model can generate in response to your prompt.
  • Temperature: Controls the creativity of the response, allowing you to balance between deterministic and more random outputs.
  • Top K and Top P: Parameters that influence the randomness of the output by specifying which and how many tokens to consider.

Example input structure:

{
  "prompt": "### Instruction\nWhen was Aquaman and the Lost Kingdom released?\n### Context\nAquaman and the Lost Kingdom premiered at a fan event at the Grove, Los Angeles on December 19, 2023...",
  "maxTokens": 128,
  "temperature": 0.8,
  "topK": -1,
  "topP": 0.95,
  "presencePenalty": 0,
  "frequencyPenalty": 0
}

Expected Output

The expected output is a concise, relevant answer based on the provided prompt and context. For instance, if the input prompt asks about the release date of a movie, the output will directly provide that information.

Example output:

Aquaman and the Lost Kingdom was released on December 22, 2023, in the United States by Warner Bros. Pictures.

Use Cases for this Specific Action

  • Technical Support: Quickly retrieve answers from product documentation to assist customers or team members, enhancing the quality of support provided.
  • Development Assistance: Developers can use this action to clarify doubts about API usage, feature implementations, or troubleshooting steps, allowing them to focus on coding rather than searching through documentation.
  • Learning and Training: New team members can leverage this action to learn about systems and processes by asking specific questions about the documentation, thereby accelerating their onboarding process.
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "93e1e290-de61-49bc-8aab-aebfe88cccdc" # Action ID for: Optimize Docs with DocsGPT

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "topK": -1,
  "topP": 0.95,
  "prompt": "### Instruction\nWhen was Aquaman and the Lost Kingdom released?\n### Context\nAquaman and the Lost Kingdom premiered at a fan event at the Grove, Los Angeles on December 19, 2023, and was released in the United States on December 22, by Warner Bros. Pictures. The film received mixed reviews from critics, who deemed it inferior to its predecessor. The film has grossed $138 million worldwide.\n### Answer",
  "maxTokens": 128,
  "temperature": 0.8,
  "presencePenalty": 0,
  "frequencyPenalty": 0
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body (non-JSON): {e.response.text}")
    print("------------------------------------------------")

Conclusion

The DocsGPT 7b Mistral service provides a robust solution for developers and support teams looking to enhance their efficiency when working with documentation. By using context-driven queries, teams can access precise information quickly, leading to improved problem-solving and reduced time spent on research. As you integrate these Cognitive Actions into your workflow, consider the various scenarios in which they can streamline your processes and enhance productivity. Start exploring the capabilities of DocsGPT today to transform how you interact with documentation.

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