import os
from meibel import MeibelClient
from meibel.models import UpdateAgentDefinitionRequest

client = MeibelClient(api_key=os.environ["MEIBEL_API_KEY"])

request = UpdateAgentDefinitionRequest(
    display_name="Customer Support Agent",
    instructions="You are a helpful customer support agent for Acme Corp.",
    llm_model="gpt-4o",
    temperature=0.3,
    max_tokens=2048,
    tags=["support", "production"],
)

response = client.agents.update("agent_abc123", request)

print(f"Updated agent {response.id}, version {response.version}")

import { MeibelClient } from "meibel";

const client = new MeibelClient({ apiKey: process.env.MEIBEL_API_KEY });

const updatedAgent = await client.agents.update("agent_abc123", {
  display_name: "Support Assistant",
  instructions: "You are a helpful customer support agent for Acme Corp. Be concise and friendly.",
  llm_model: "gpt-4o",
  temperature: 0.3,
  max_tokens: 2048,
  tools: [
    {
      name: "search_knowledge_base",
      type: "rag_search",
      description: "Search the support knowledge base for relevant articles",
      config: { datasource_id: "ds_kb_9f8e7d6c" },
      use_for: ["answering product questions", "troubleshooting steps"],
    },
  ],
  execution_policy: {
    datasources: {
      ds_kb_9f8e7d6c: {
        documents: {
          filter: { "data_element.__name__": { $nin: ["internal_notes.pdf"] } },
        },
      },
    },
  },
  tags: ["support", "production"],
});

console.log(`Updated agent ${updatedAgent.id} to version ${updatedAgent.version}`);
console.log(`Catalog URN: ${updatedAgent.catalog_urn}`);

package main

import (
	"context"
	"fmt"
	"os"

	v2 "github.com/meibel-ai/meibel-go/v2"
)

func main() {
	client := v2.NewClient(v2.WithAPIKey(os.Getenv("MEIBEL_API_KEY")))

	resp, err := client.Agents.Update(context.Background(), "agent_abc123", v2.UpdateAgentDefinitionRequest{
		DisplayName: v2.String("Support Assistant"),
		Instructions: v2.String("You are a helpful customer support agent for Acme Corp."),
		LlmModel:    v2.String("gpt-4o"),
		Temperature: v2.Float64(0.3),
		MaxTokens:   v2.Int(2048),
		Tools: []v2.AgentToolDefinition{
			{
				Name:        "order_lookup",
				Type:        "database_query",
				Description: v2.String("Look up order details by order ID"),
				Config: map[string]any{
					"datasource_id": "ds_orders_prod",
				},
			},
		},
		Tags: []string{"support", "production"},
	})
	if err != nil {
		panic(err)
	}

	fmt.Printf("Updated agent %s to version %s\n", resp.ID, resp.Version)
}

curl --request PUT \
  --url https://api.meibel.ai/v2/agents/{agent_id} \
  --header 'Content-Type: application/json' \
  --header 'Meibel-API-Key: <api-key>' \
  --data '
{
  "display_name": "<string>",
  "instructions": "<string>",
  "type": "<string>",
  "description": "<string>",
  "llm_model": "<string>",
  "fallback_models": [
    "<string>"
  ],
  "datasources": [
    "<string>"
  ],
  "tools": [
    {
      "name": "<string>",
      "type": "<string>",
      "description": "",
      "config": {},
      "parameters_schema": {},
      "use_for": [
        "<string>"
      ],
      "avoid_for": [
        "<string>"
      ],
      "require_approval": false,
      "approval_message": "<string>"
    }
  ],
  "artifacts": [
    "<string>"
  ],
  "confidence_configs": [
    "<string>"
  ],
  "temperature": 1,
  "max_tokens": 123,
  "tags": [
    "<string>"
  ],
  "icon": "<string>",
  "execution_policy": {
    "datasources": {},
    "tools": {}
  },
  "execution_policy_ids": [
    "<string>"
  ]
}
'

const options = {
  method: 'PUT',
  headers: {'Meibel-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    display_name: '<string>',
    instructions: '<string>',
    type: '<string>',
    description: '<string>',
    llm_model: '<string>',
    fallback_models: ['<string>'],
    datasources: ['<string>'],
    tools: [
      {
        name: '<string>',
        type: '<string>',
        description: '',
        config: {},
        parameters_schema: {},
        use_for: ['<string>'],
        avoid_for: ['<string>'],
        require_approval: false,
        approval_message: '<string>'
      }
    ],
    artifacts: ['<string>'],
    confidence_configs: ['<string>'],
    temperature: 1,
    max_tokens: 123,
    tags: ['<string>'],
    icon: '<string>',
    execution_policy: {datasources: {}, tools: {}},
    execution_policy_ids: ['<string>']
  })
};

fetch('https://api.meibel.ai/v2/agents/{agent_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.meibel.ai/v2/agents/{agent_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'display_name' => '<string>',
    'instructions' => '<string>',
    'type' => '<string>',
    'description' => '<string>',
    'llm_model' => '<string>',
    'fallback_models' => [
        '<string>'
    ],
    'datasources' => [
        '<string>'
    ],
    'tools' => [
        [
                'name' => '<string>',
                'type' => '<string>',
                'description' => '',
                'config' => [
                                
                ],
                'parameters_schema' => [
                                
                ],
                'use_for' => [
                                '<string>'
                ],
                'avoid_for' => [
                                '<string>'
                ],
                'require_approval' => false,
                'approval_message' => '<string>'
        ]
    ],
    'artifacts' => [
        '<string>'
    ],
    'confidence_configs' => [
        '<string>'
    ],
    'temperature' => 1,
    'max_tokens' => 123,
    'tags' => [
        '<string>'
    ],
    'icon' => '<string>',
    'execution_policy' => [
        'datasources' => [
                
        ],
        'tools' => [
                
        ]
    ],
    'execution_policy_ids' => [
        '<string>'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Meibel-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

HttpResponse<String> response = Unirest.put("https://api.meibel.ai/v2/agents/{agent_id}")
  .header("Meibel-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"display_name\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"type\": \"<string>\",\n  \"description\": \"<string>\",\n  \"llm_model\": \"<string>\",\n  \"fallback_models\": [\n    \"<string>\"\n  ],\n  \"datasources\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"\",\n      \"config\": {},\n      \"parameters_schema\": {},\n      \"use_for\": [\n        \"<string>\"\n      ],\n      \"avoid_for\": [\n        \"<string>\"\n      ],\n      \"require_approval\": false,\n      \"approval_message\": \"<string>\"\n    }\n  ],\n  \"artifacts\": [\n    \"<string>\"\n  ],\n  \"confidence_configs\": [\n    \"<string>\"\n  ],\n  \"temperature\": 1,\n  \"max_tokens\": 123,\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"icon\": \"<string>\",\n  \"execution_policy\": {\n    \"datasources\": {},\n    \"tools\": {}\n  },\n  \"execution_policy_ids\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.meibel.ai/v2/agents/{agent_id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Put.new(url)
request["Meibel-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"display_name\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"type\": \"<string>\",\n  \"description\": \"<string>\",\n  \"llm_model\": \"<string>\",\n  \"fallback_models\": [\n    \"<string>\"\n  ],\n  \"datasources\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"\",\n      \"config\": {},\n      \"parameters_schema\": {},\n      \"use_for\": [\n        \"<string>\"\n      ],\n      \"avoid_for\": [\n        \"<string>\"\n      ],\n      \"require_approval\": false,\n      \"approval_message\": \"<string>\"\n    }\n  ],\n  \"artifacts\": [\n    \"<string>\"\n  ],\n  \"confidence_configs\": [\n    \"<string>\"\n  ],\n  \"temperature\": 1,\n  \"max_tokens\": 123,\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"icon\": \"<string>\",\n  \"execution_policy\": {\n    \"datasources\": {},\n    \"tools\": {}\n  },\n  \"execution_policy_ids\": [\n    \"<string>\"\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "catalog_urn": "<string>",
  "version": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}