Custom Integrations

Universal API Integration

Costa provides an OpenAI-compatible API that works with virtually any AI agent, custom application, or automation tool. This allows you to integrate enterprise-grade AI capabilities into your existing workflows while maintaining the highest security standards.

API Configuration

Base Configuration

export COSTA_API_KEY="REPLACE_WITH_YOUR_COSTA_API_KEY"
export COSTA_BASE_URL="https://ai.costa.app/api/v1"
export COSTA_MODEL="costa/auto"

api:
  provider: costa-code
  base_url: https://ai.costa.app/api/v1
  api_key: costa_ent_your_key_here
  
models:
  coding: costa/enterprise-coder-v1
  reasoning: costa/secure-claude-3-5-sonnet
  compliance: costa/compliance-assistant
  
security:
  level: high
  data_residency: us-east
  audit_enabled: true
  zero_retention: false

{
  "api": {
    "provider": "costa-code",
    "baseUrl": "https://ai.costa.app/api/v1",
    "apiKey": "costa_ent_your_key_here"
  },
  "security": {
    "level": "high",
    "dataResidency": "us-east",
    "auditEnabled": true,
    "zeroRetention": false
  }
}

Integration Examples

Python SDK Integration

import openai

# Configure Costa as OpenAI provider
client = openai.OpenAI(
    api_key="costa_ent_your_key_here",
    base_url="https://ai.costa.app/api/v1"
)

# Basic chat completion
response = client.chat.completions.create(
    model="costa/enterprise-coder-v1",
    messages=[
        {"role": "user", "content": "Write a secure Python function for user authentication"}
    ],
    max_tokens=1000,
    temperature=0.7
)

print(response.choices[0].message.content)

# With enterprise security headers
response = client.chat.completions.create(
    model="costa/secure-claude-3-5-sonnet",
    messages=[
        {"role": "user", "content": "Review this code for security vulnerabilities"}
    ],
    extra_headers={
        "Costa-Security-Level": "maximum",
        "Costa-Data-Residency": "us-east",
        "Costa-Audit-Enabled": "true",
        "Costa-Zero-Retention": "true"
    }
)

import requests
import json

class CostaCodeClient:
    def __init__(self, api_key, base_url="https://ai.costa.app/api/v1"):
        self.api_key = api_key
        self.base_url = base_url
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }
    
    def chat_completion(self, model, messages, **kwargs):
        """Send chat completion request to Costa"""
        url = f"{self.base_url}/chat/completions"
        
        payload = {
            "model": model,
            "messages": messages,
            **kwargs
        }
        
        response = requests.post(url, headers=self.headers, json=payload)
        response.raise_for_status()
        return response.json()
    
    def secure_completion(self, model, messages, security_level="high", **kwargs):
        """Send completion with enhanced security"""
        secure_headers = {
            **self.headers,
            "Costa-Security-Level": security_level,
            "Costa-Audit-Enabled": "true"
        }
        
        url = f"{self.base_url}/chat/completions"
        payload = {
            "model": model,
            "messages": messages,
            **kwargs
        }
        
        response = requests.post(url, headers=secure_headers, json=payload)
        response.raise_for_status()
        return response.json()

# Usage example
client = CostaCodeClient("costa_ent_your_key_here")

response = client.secure_completion(
    model="costa/enterprise-coder-v1",
    messages=[{"role": "user", "content": "Generate a secure API endpoint"}],
    max_tokens=500,
    security_level="maximum"
)

JavaScript/Node.js Integration

import OpenAI from 'openai';

// Configure Costa client
const openai = new OpenAI({
  apiKey: 'costa_ent_your_key_here',
  baseURL: 'https://ai.costa.app/api/v1'
});

// Basic completion
async function generateCode(prompt) {
  const completion = await openai.chat.completions.create({
    model: 'costa/enterprise-coder-v1',
    messages: [{ role: 'user', content: prompt }],
    max_tokens: 1000,
    temperature: 0.7
  });
  
  return completion.choices[0].message.content;
}

// Enterprise security completion
async function secureGeneration(prompt, securityLevel = 'high') {
  const completion = await openai.chat.completions.create({
    model: 'costa/secure-claude-3-5-sonnet',
    messages: [{ role: 'user', content: prompt }],
    max_tokens: 1500,
    extra_headers: {
      'Costa-Security-Level': securityLevel,
      'Costa-Audit-Enabled': 'true',
      'Costa-Data-Residency': 'us-east'
    }
  });
  
  return completion.choices[0].message.content;
}

// Usage
const code = await generateCode('Create a REST API for user management');
const secureCode = await secureGeneration('Review this payment processing code', 'maximum');

class CostaCodeAPI {
  constructor(apiKey, baseURL = 'https://ai.costa.app/api/v1') {
    this.apiKey = apiKey;
    this.baseURL = baseURL;
  }

  async chatCompletion(model, messages, options = {}) {
    const response = await fetch(`${this.baseURL}/chat/completions`, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json',
        ...options.headers
      },
      body: JSON.stringify({
        model,
        messages,
        ...options.params
      })
    });

    if (!response.ok) {
      throw new Error(`API request failed: ${response.statusText}`);
    }

    return response.json();
  }

  async secureCompletion(model, messages, securityOptions = {}) {
    const headers = {
      'Costa-Security-Level': securityOptions.level || 'high',
      'Costa-Audit-Enabled': 'true',
      'Costa-Data-Residency': securityOptions.region || 'us-east'
    };

    if (securityOptions.zeroRetention) {
      headers['Costa-Zero-Retention'] = 'true';
    }

    return this.chatCompletion(model, messages, {
      headers,
      params: securityOptions.params || {}
    });
  }
}

// Usage
const costa = new CostaCodeAPI('costa_ent_your_key_here');

const result = await costa.secureCompletion(
  'costa/compliance-assistant',
  [{ role: 'user', content: 'Check this healthcare code for HIPAA compliance' }],
  {
    level: 'maximum',
    region: 'us-east',
    zeroRetention: true,
    params: { max_tokens: 2000 }
  }
);

cURL Examples

curl -X POST "https://ai.costa.app/api/v1/chat/completions" \
  -H "Authorization: Bearer costa_ent_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "costa/enterprise-coder-v1",
    "messages": [
      {
        "role": "user",
        "content": "Write a secure authentication middleware for Express.js"
      }
    ],
    "max_tokens": 1000,
    "temperature": 0.7
  }'

curl -X POST "https://ai.costa.app/api/v1/chat/completions" \
  -H "Authorization: Bearer costa_ent_your_key_here" \
  -H "Content-Type: application/json" \
  -H "Costa-Security-Level: maximum" \
  -H "Costa-Data-Residency: us-east" \
  -H "Costa-Audit-Enabled: true" \
  -H "Costa-Zero-Retention: true" \
  -d '{
    "model": "costa/secure-claude-3-5-sonnet",
    "messages": [
      {
        "role": "user",
        "content": "Review this financial transaction code for SOX compliance"
      }
    ],
    "max_tokens": 2000,
    "temperature": 0.3
  }'

curl -X POST "https://ai.costa.app/api/v1/chat/completions" \
  -H "Authorization: Bearer costa_ent_your_key_here" \
  -H "Content-Type: application/json" \
  -H "Costa-Security-Level: maximum" \
  -H "Costa-Audit-Enabled: true" \
  -d '{
    "model": "costa/compliance-assistant",
    "messages": [
      {
        "role": "user",
        "content": "Analyze this healthcare data processing code for HIPAA violations"
      }
    ],
    "max_tokens": 1500,
    "temperature": 0.2
  }'

Popular AI Agent Integrations

AutoGPT Integration

ai_provider: custom
api_base: https://ai.costa.app/api/v1
api_key: costa_ent_your_key_here

models:
  fast_llm: costa/enterprise-coder-v1
  smart_llm: costa/secure-claude-3-5-sonnet
  
security:
  audit_enabled: true
  data_residency: us-east
  security_level: high

headers:
  Costa-Security-Level: high
  Costa-Audit-Enabled: "true"
  Costa-Data-Residency: us-east

class CostaCodeProvider:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://ai.costa.app/api/v1"
    
    def chat_completion_request(self, model, messages, **kwargs):
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
            "Costa-Security-Level": "high",
            "Costa-Audit-Enabled": "true"
        }
        
        payload = {
            "model": model,
            "messages": messages,
            **kwargs
        }
        
        response = requests.post(
            f"{self.base_url}/chat/completions",
            headers=headers,
            json=payload
        )
        
        return response.json()

LangChain Integration

from langchain.llms import OpenAI
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage

# Configure Costa as LangChain provider
costa_llm = ChatOpenAI(
    openai_api_key="costa_ent_your_key_here",
    openai_api_base="https://ai.costa.app/api/v1",
    model_name="costa/enterprise-coder-v1",
    temperature=0.7
)

# Use with LangChain chains
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate

prompt = PromptTemplate(
    input_variables=["task"],
    template="Write secure, enterprise-grade code for: {task}"
)

chain = LLMChain(llm=costa_llm, prompt=prompt)
result = chain.run(task="user authentication system with MFA")

# Enterprise security configuration
costa_secure = ChatOpenAI(
    openai_api_key="costa_ent_your_key_here",
    openai_api_base="https://ai.costa.app/api/v1",
    model_name="costa/secure-claude-3-5-sonnet",
    model_kwargs={
        "extra_headers": {
            "Costa-Security-Level": "maximum",
            "Costa-Audit-Enabled": "true"
        }
    }
)

from langchain.llms.base import LLM
from typing import Optional, List, Any
import requests

class CostaCodeLLM(LLM):
    api_key: str
    model: str = "costa/enterprise-coder-v1"
    security_level: str = "high"
    
    @property
    def _llm_type(self) -> str:
        return "costa-code"
    
    def _call(
        self,
        prompt: str,
        stop: Optional[List[str]] = None,
        run_manager: Optional[Any] = None,
        **kwargs: Any,
    ) -> str:
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
            "Costa-Security-Level": self.security_level,
            "Costa-Audit-Enabled": "true"
        }
        
        payload = {
            "model": self.model,
            "messages": [{"role": "user", "content": prompt}],
            "max_tokens": kwargs.get("max_tokens", 1000),
            "temperature": kwargs.get("temperature", 0.7)
        }
        
        response = requests.post(
            "https://ai.costa.app/api/v1/chat/completions",
            headers=headers,
            json=payload
        )
        
        return response.json()["choices"][0]["message"]["content"]

# Usage
costa_llm = CostaCodeLLM(
    api_key="costa_ent_your_key_here",
    model="costa/compliance-assistant",
    security_level="maximum"
)

Custom AI Agent Template

import requests
import json
from typing import Dict, List, Optional

class EnterpriseAIAgent:
    def __init__(self, api_key: str, default_model: str = "costa/enterprise-coder-v1"):
        self.api_key = api_key
        self.base_url = "https://ai.costa.app/api/v1"
        self.default_model = default_model
        self.session = requests.Session()
        self.session.headers.update({
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        })
    
    def execute_task(
        self, 
        task: str, 
        model: Optional[str] = None,
        security_level: str = "high",
        compliance_frameworks: List[str] = None,
        **kwargs
    ) -> Dict:
        """Execute AI task with enterprise security"""
        
        headers = {
            "Costa-Security-Level": security_level,
            "Costa-Audit-Enabled": "true",
            "Costa-Data-Residency": kwargs.get("region", "us-east")
        }
        
        if kwargs.get("zero_retention", False):
            headers["Costa-Zero-Retention"] = "true"
        
        if compliance_frameworks:
            headers["Costa-Compliance-Frameworks"] = ",".join(compliance_frameworks)
        
        payload = {
            "model": model or self.default_model,
            "messages": [{"role": "user", "content": task}],
            "max_tokens": kwargs.get("max_tokens", 1000),
            "temperature": kwargs.get("temperature", 0.7)
        }
        
        response = self.session.post(
            f"{self.base_url}/chat/completions",
            headers=headers,
            json=payload
        )
        
        response.raise_for_status()
        return response.json()
    
    def code_review(self, code: str, framework: str = "general") -> Dict:
        """Perform security-focused code review"""
        
        model_map = {
            "hipaa": "costa/compliance-assistant",
            "sox": "costa/compliance-assistant", 
            "pci": "costa/compliance-assistant",
            "general": "costa/secure-claude-3-5-sonnet"
        }
        
        task = f"Perform a comprehensive security review of this code for {framework} compliance:\n\n{code}"
        
        return self.execute_task(
            task=task,
            model=model_map.get(framework, "costa/secure-claude-3-5-sonnet"),
            security_level="maximum",
            compliance_frameworks=[framework] if framework != "general" else [],
            zero_retention=True
        )
    
    def generate_code(self, requirements: str, language: str = "python") -> Dict:
        """Generate enterprise-grade code"""
        
        task = f"Generate secure, enterprise-grade {language} code for: {requirements}"
        
        return self.execute_task(
            task=task,
            model="costa/enterprise-coder-v1",
            security_level="high",
            max_tokens=2000
        )

# Usage example
agent = EnterpriseAIAgent("costa_ent_your_key_here")

# Generate secure code
code_result = agent.generate_code(
    "User authentication system with JWT and rate limiting",
    language="python"
)

# Review code for compliance
review_result = agent.code_review(
    code="def process_payment(card_data): ...",
    framework="pci"
)

print("Generated code:", code_result["choices"][0]["message"]["content"])
print("Security review:", review_result["choices"][0]["message"]["content"])

Enterprise Headers Reference

Security Level Control

Header: Costa-Security-LevelValues:

standard - Default security measures
high - Enhanced security protocols
maximum - Highest security, compliance mode

Usage:

-H "Costa-Security-Level: maximum"

Data Residency

Header: Costa-Data-ResidencyValues:

us-east - US East Coast
us-west - US West Coast
eu-west - European Union
asia-pacific - Asia Pacific

Usage:

-H "Costa-Data-Residency: eu-west"

Audit Logging

Header: Costa-Audit-EnabledValues: true, falseUsage:

-H "Costa-Audit-Enabled: true"

Zero Retention

Header: Costa-Zero-RetentionValues: true, falseDescription: Enable zero data retention modeUsage:

-H "Costa-Zero-Retention: true"

Compliance Frameworks

Header: Costa-Compliance-FrameworksValues: Comma-separated list of hipaa, sox, pci-dss, gdprUsage:

-H "Costa-Compliance-Frameworks: hipaa,sox"

Error Handling

import requests
from requests.exceptions import RequestException

def safe_costa_request(api_key, model, messages, **kwargs):
    """Make a safe request to Costa API with error handling"""
    
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
        "Costa-Security-Level": kwargs.get("security_level", "high"),
        "Costa-Audit-Enabled": "true"
    }
    
    payload = {
        "model": model,
        "messages": messages,
        "max_tokens": kwargs.get("max_tokens", 1000),
        "temperature": kwargs.get("temperature", 0.7)
    }
    
    try:
        response = requests.post(
            "https://ai.costa.app/api/v1/chat/completions",
            headers=headers,
            json=payload,
            timeout=30
        )
        
        # Handle HTTP errors
        if response.status_code == 401:
            raise Exception("Invalid API key or authentication failed")
        elif response.status_code == 403:
            raise Exception("Access denied - check model permissions")
        elif response.status_code == 429:
            raise Exception("Rate limit exceeded - please retry later")
        elif response.status_code >= 500:
            raise Exception("Costa service error - please retry")
        
        response.raise_for_status()
        return response.json()
        
    except RequestException as e:
        raise Exception(f"Network error: {str(e)}")
    except Exception as e:
        raise Exception(f"API request failed: {str(e)}")

# Usage with error handling
try:
    result = safe_costa_request(
        api_key="costa_ent_your_key_here",
        model="costa/enterprise-coder-v1",
        messages=[{"role": "user", "content": "Generate secure code"}],
        security_level="high"
    )
    print("Success:", result["choices"][0]["message"]["content"])
    
except Exception as e:
    print("Error:", str(e))

Testing & Validation

import unittest
import requests

class CostaCodeAPITest(unittest.TestCase):
    
    def setUp(self):
        self.api_key = "costa_ent_your_test_key_here"
        self.base_url = "https://ai.costa.app/api/v1"
        self.headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
    
    def test_basic_completion(self):
        """Test basic chat completion"""
        payload = {
            "model": "costa/enterprise-coder-v1",
            "messages": [{"role": "user", "content": "Hello, world!"}],
            "max_tokens": 50
        }
        
        response = requests.post(
            f"{self.base_url}/chat/completions",
            headers=self.headers,
            json=payload
        )
        
        self.assertEqual(response.status_code, 200)
        data = response.json()
        self.assertIn("choices", data)
        self.assertGreater(len(data["choices"]), 0)
    
    def test_security_headers(self):
        """Test enterprise security headers"""
        headers = {
            **self.headers,
            "Costa-Security-Level": "maximum",
            "Costa-Audit-Enabled": "true"
        }
        
        payload = {
            "model": "costa/secure-claude-3-5-sonnet",
            "messages": [{"role": "user", "content": "Test security"}],
            "max_tokens": 50
        }
        
        response = requests.post(
            f"{self.base_url}/chat/completions",
            headers=headers,
            json=payload
        )
        
        self.assertEqual(response.status_code, 200)
        data = response.json()
        self.assertIn("security", data)
    
    def test_model_availability(self):
        """Test available models"""
        response = requests.get(
            f"{self.base_url}/models",
            headers=self.headers
        )
        
        self.assertEqual(response.status_code, 200)
        data = response.json()
        model_ids = [model["id"] for model in data["data"]]
        self.assertIn("costa/enterprise-coder-v1", model_ids)

if __name__ == "__main__":
    unittest.main()

Best Practices

Authentication Security

Store API keys securely using environment variables
Rotate API keys regularly
Use different keys for development and production

Error Handling

Implement comprehensive error handling
Add retry logic for transient failures
Log errors for debugging and monitoring

Security Configuration

Use appropriate security levels for your use case
Enable audit logging for compliance requirements
Configure data residency based on regulations

Performance Optimization

Use streaming for real-time applications
Cache responses when appropriate
Monitor usage and optimize model selection

Enterprise Integration: When integrating Costa with AI agents, ensure proper security measures are implemented including secure API key storage, appropriate security levels, and compliance configuration for your industry requirements.

Get started

Concepts

Integrations

Reference

Universal API Integration

API Configuration

Base Configuration

Integration Examples

Python SDK Integration

JavaScript/Node.js Integration

cURL Examples

Popular AI Agent Integrations

AutoGPT Integration

LangChain Integration

Custom AI Agent Template

Enterprise Headers Reference

Error Handling

Testing & Validation

Best Practices

​Universal API Integration

​API Configuration

​Base Configuration

​Integration Examples

​Python SDK Integration

​JavaScript/Node.js Integration

​cURL Examples

​Popular AI Agent Integrations

​AutoGPT Integration

​LangChain Integration

​Custom AI Agent Template

​Enterprise Headers Reference

​Error Handling

​Testing & Validation

​Best Practices

Universal API Integration

API Configuration

Base Configuration

Integration Examples

Python SDK Integration

JavaScript/Node.js Integration

cURL Examples

Popular AI Agent Integrations

AutoGPT Integration

LangChain Integration

Custom AI Agent Template

Enterprise Headers Reference

Error Handling

Testing & Validation

Best Practices