Python (Simple)

pip install requests

import os
import requests
 
API_KEY = os.environ["GUIDEDMIND_API_KEY"]
BASE_URL = "https://api.guidedmind.ai"
 
headers = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json",
}

def search(query, limit=5, threshold=0.7):
    response = requests.post(
        f"{BASE_URL}/rag/search",
        headers=headers,
        json={
            "query": query,
            "options": {
                "limit": limit,
                "threshold": threshold,
                "include_metadata": True,
            },
        },
    )
    response.raise_for_status()
    return response.json()
 
# Usage
results = search("What is the refund policy?")
for result in results["results"]:
    print(f"Score: {result['score']:.2f}")
    print(f"Content: {result['content'][:200]}...")
    print("---")

def upload_document(file_path, project_id):
    with open(file_path, "rb") as f:
        response = requests.post(
            f"{BASE_URL}/rag/upload",
            headers={"X-API-Key": API_KEY},
            files={"file": f},
            data={"project_id": project_id},
        )
    response.raise_for_status()
    return response.json()
 
# Usage
result = upload_document("./policies.pdf", "proj_abc123")
print(f"Uploaded: {result['document_id']}")

def upload_and_process(file_path, project_id):
    with open(file_path, "rb") as f:
        response = requests.post(
            f"{BASE_URL}/rag/upload-and-process",
            headers={"X-API-Key": API_KEY},
            files={"file": f},
            data={
                "project_id": project_id,
                "chunk_size": "512",
                "chunk_overlap": "50",
            },
        )
    response.raise_for_status()
    return response.json()
 
# Usage
result = upload_and_process("./policies.pdf", "proj_abc123")
print(f"Processed: {result['chunks_created']} chunks")

import time
 
def search_with_retry(query, max_retries=3):
    for attempt in range(max_retries):
        response = requests.post(
            f"{BASE_URL}/rag/search",
            headers=headers,
            json={"query": query},
        )
 
        if response.status_code == 429:
            retry_after = response.json().get("retry_after", 30)
            wait_time = retry_after * (2 ** attempt)
            print(f"Rate limited. Waiting {wait_time}s...")
            time.sleep(wait_time)
            continue
 
        response.raise_for_status()
        return response.json()
 
    raise Exception("Max retries exceeded")

import os
import requests
 
class GuidedMindClient:
    def __init__(self, api_key=None):
        self.base_url = "https://api.guidedmind.ai"
        self.headers = {
            "X-API-Key": api_key or os.environ["GUIDEDMIND_API_KEY"],
            "Content-Type": "application/json",
        }
 
    def search(self, query, limit=5, threshold=0.7):
        resp = requests.post(
            f"{self.base_url}/rag/search",
            headers=self.headers,
            json={
                "query": query,
                "options": {"limit": limit, "threshold": threshold},
            },
        )
        resp.raise_for_status()
        return resp.json()
 
    def upload(self, file_path, project_id):
        with open(file_path, "rb") as f:
            resp = requests.post(
                f"{self.base_url}/rag/upload",
                headers={"X-API-Key": self.headers["X-API-Key"]},
                files={"file": f},
                data={"project_id": project_id},
            )
        resp.raise_for_status()
        return resp.json()
 
# Usage
client = GuidedMindClient()
results = client.search("How do I reset my password?")
print(f"Found {len(results['results'])} results")