Get LLM Models

Get LLM models

curl --request GET \
  --url https://api.inya.ai/platform/v1/agents/config/llm_models \
  --header 'x-api-key: <api-key>'

const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};

fetch('https://api.inya.ai/platform/v1/agents/config/llm_models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "status": "success",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "Models retrieved successfully",
  "response": {
    "LLM": [
      {
        "name": "Gnani",
        "provider": {
          "providerId": "gnani",
          "label": "Gnani",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "Pampa Go",
            "label": "Pampa Go",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "ta-IN",
              "kn-IN",
              "en-US"
            ]
          }
        ]
      },
      {
        "name": "OpenAI",
        "provider": {
          "providerId": "openai",
          "label": "Open AI",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "gpt-4.1-mini",
            "label": "GPT-4.1-MINI",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "en-US"
            ]
          },
          {
            "modelId": "gpt-4o-mini",
            "label": "GPT-4o Mini",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "en-US"
            ]
          }
        ]
      }
    ]
  }
}

{
  "status": "failure",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "<string>"
}

GET

agents

config

llm_models

Get LLM models

curl --request GET \
  --url https://api.inya.ai/platform/v1/agents/config/llm_models \
  --header 'x-api-key: <api-key>'

const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};

fetch('https://api.inya.ai/platform/v1/agents/config/llm_models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "status": "success",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "Models retrieved successfully",
  "response": {
    "LLM": [
      {
        "name": "Gnani",
        "provider": {
          "providerId": "gnani",
          "label": "Gnani",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "Pampa Go",
            "label": "Pampa Go",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "ta-IN",
              "kn-IN",
              "en-US"
            ]
          }
        ]
      },
      {
        "name": "OpenAI",
        "provider": {
          "providerId": "openai",
          "label": "Open AI",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "gpt-4.1-mini",
            "label": "GPT-4.1-MINI",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "en-US"
            ]
          },
          {
            "modelId": "gpt-4o-mini",
            "label": "GPT-4o Mini",
            "functionCalling": true,
            "supportedLanguages": [
              "en-IN",
              "hi-IN",
              "en-US"
            ]
          }
        ]
      }
    ]
  }
}

{
  "status": "failure",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "<string>"
}

What it does: Retrieve all available LLM (Large Language Model) providers and their supported models. The LLM is the reasoning engine of your agent — it processes user input, maintains conversation context, and generates responses based on the system prompt. Use this endpoint to populate model selection options when configuring an agent’s llmParams.

Required Permission

agents

Query Parameters

Name	Type	Required	Description
`provider`	string	No	Filter results to a specific LLM provider (e.g. `gnani`, `openai`). When omitted, all available providers and models are returned.

Minimum working example

curl "https://api.inya.ai/platform/v1/agents/config/llm_models" \
  -H "x-api-key: <your_api_key>"

Additional examples

Filter by Provider

curl "https://api.inya.ai/platform/v1/agents/config/llm_models?provider=gnani" \
  -H "x-api-key: <your_api_key>"

Response

Success (200)

{
  "status": "success",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "Models retrieved successfully",
  "response": {
    "LLM": [
      {
        "name": "Anthropic",
        "provider": {
          "providerId": "anthropic",
          "label": "Anthropic",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "claude-3-5-sonnet-20241022",
            "label": "Claude-3-5-Sonnet",
            "functionCalling": true,
            "supportedLanguages": ["en-IN", "hi-IN", "ta-IN", "kn-IN", "en-US"]
          }
        ]
      },
      {
        "name": "Gnani",
        "provider": {
          "providerId": "gnani",
          "label": "Gnani",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "Pampa Go",
            "label": "Pampa Go",
            "functionCalling": true,
            "supportedLanguages": ["en-IN", "hi-IN", "ta-IN", "kn-IN", "en-US"]
          },
          {
            "modelId": "Pampa Priority",
            "label": "Pampa Priority",
            "functionCalling": true,
            "supportedLanguages": ["en-IN", "hi-IN", "ta-IN", "kn-IN", "en-US"]
          }
        ]
      },
      {
        "name": "OpenAI",
        "provider": {
          "providerId": "openai",
          "label": "Open AI",
          "functionCalling": true,
          "multilingual": true
        },
        "models": [
          {
            "modelId": "gpt-4.1-mini",
            "label": "GPT-4.1-MINI",
            "functionCalling": true,
            "supportedLanguages": ["en-IN", "hi-IN", "en-US"]
          },
          {
            "modelId": "gpt-4o-mini",
            "label": "GPT-4o Mini",
            "functionCalling": true,
            "supportedLanguages": ["en-IN", "hi-IN", "en-US"]
          }
        ]
      }
    ]
  }
}

Response Fields

Field	Type	Description
`LLM[].name`	string	Human-readable provider display name.
`LLM[].provider.providerId`	string	Provider identifier. Use this as the `provider` value in `llmParams` when updating an agent.
`LLM[].provider.label`	string	Human-readable provider label.
`LLM[].provider.functionCalling`	boolean	Whether this provider supports function calling.
`LLM[].provider.multilingual`	boolean	Whether this provider supports multilingual agents.
`LLM[].models[].modelId`	string	Unique model identifier. Use this as the `model` value in `llmParams`.
`LLM[].models[].label`	string	Human-readable model display name.
`LLM[].models[].functionCalling`	boolean	Whether this specific model supports function calling.
`LLM[].models[].supportedLanguages`	string[]	BCP-47 language codes supported by this model.

Errors

401 Unauthorized - Invalid or missing API key

{
  "status": "failure",
  "requestId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "message": "Invalid API key"
}

An unknown provider filter value returns HTTP 200 with an empty LLM array — not an error. See Error Reference for other status codes.

Use Cases

Populating an LLM provider and model selector during agent creation or configuration
Allowing users to switch between language models (e.g. from a smaller model to a larger one)
Filtering models by provider when your organization has a specific LLM contract

The provider.providerId and modelId values returned here map directly to the provider and model fields in the Update Agent llmParams object. Use them as-is.

Use the provider filter to show only the models available from your preferred LLM vendor, simplifying the selection UI for your users.

Save the requestId from every response. You will need it if you contact Gnani support to trace a specific request.

Authorizations

x-api-key

string

header

required

API key with 'agents' permission

Query Parameters

provider

string

Filter results to a specific LLM provider

Example:

"gnani"

Response

Models retrieved successfully

status

string

Example:

"success"

requestId

string

Example:

"a1b2c3d4-e5f6-7890-abcd-ef1234567890"

message

string

response

object

Getting Started

Agents API

Conversations API

Agent Config API

Agent FAQ API

Chat SDK API

Reference

Required Permission

Query Parameters

Minimum working example

Additional examples

Filter by Provider

Response

Success (200)

Response Fields

Errors

Use Cases

Authorizations

Query Parameters

Response

​Required Permission

​Query Parameters

​Minimum working example

​Additional examples

​Filter by Provider

​Response

​Success (200)

​Response Fields

​Errors

​Use Cases

Authorizations

Query Parameters

Response

Required Permission

Query Parameters

Minimum working example

Additional examples

Filter by Provider

Response

Success (200)

Response Fields

Errors

Use Cases