Auto Prompt Generation, Model Switching, and Evaluation

Automate Prompts Save 85% cost

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Auto prompt generation for any model

Dynamically generate prompt for various use cases

Observability Suite

Get insights from most important metrics and debug with detailed logs

Model Router

Higher performance and lower cost than any single LLM

Select the Cost Optimized Model from dropdown

Best model is choosen automatically based on algorithm

Generate prompts at 85% less cost

import Trainkore from 'trainkore-ai';
  const trainkore = new Trainkore()

  const chat = await trainkore.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'gpt-4o,
  });

  console.log(chat.choices);

from trainkore_ai import Trainkore
trainkore = Trainkore()

chat = trainkore.chat.completions.create(
    messages = [{ "role": 'user', "content": 'Say this is a test' }],
    model = 'gpt-4o
)

print(chat.choices)

curl https://api.trainkore.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: openai" \
  -d '{
    "model": "gpt-4o",
    "messages": [{
        "role": "user",
        "content": "Say this is a test."
      }]
  }'

Integrate in a minute

Works with OpenAI and other AI providers out of the box. Natively integrated with Langchain, LlamaIndex and more.

Prompt Playground with Versioning

Includes all the famous models from OpenAI, Gemini, Coherence, Anthropic, Azure and many more.

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Iterative Logs and performance analysis

Get the input,output, rating , prompts , metadata and many more

Model agnostic template for every model

Prompt Generation

Auto

Model Switching

Optimized

Monitor Usage

Observability

Prompt Evaluation