Update revision config (any revision, in place)

curl --request PATCH \
  --url https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id} \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "base_version": 123,
  "persona": "<string>",
  "system_prompt": "<string>",
  "system_context_variables": [
    {
      "name": "<string>",
      "enum_values": [
        "<string>"
      ],
      "description": "<string>"
    }
  ],
  "context_variables": [
    {
      "name": "<string>",
      "enum_values": [
        "<string>"
      ],
      "description": "<string>",
      "source": "system",
      "reask_cap": null
    }
  ],
  "variable_defaults": {},
  "channel_specific_config": {},
  "router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model_settings": {
    "model": "<string>",
    "config": {
      "temperature": 1,
      "max_tokens": 2,
      "top_p": 0.5,
      "stop_sequences": [
        "<string>"
      ],
      "request_timeout_ms": 10500,
      "thinking_budget": 2
    }
  },
  "analyzer_model_settings": {
    "model": "<string>",
    "config": {
      "temperature": 1,
      "max_tokens": 2,
      "top_p": 0.5,
      "stop_sequences": [
        "<string>"
      ],
      "request_timeout_ms": 10500,
      "thinking_budget": 2
    }
  },
  "workflow_enabled": false,
  "memory_enabled": true,
  "current_time": {
    "enabled": true,
    "timezone": "<string>"
  },
  "kb_clearance_level": 123,
  "kb_audience_tags": [
    "<string>"
  ],
  "tool_refs": [
    {
      "id": "<string>",
      "slug": "<string>",
      "output_bindings": {},
      "input_defaults": {}
    }
  ],
  "knowledge_base_refs": [
    {
      "id": "<string>",
      "description": "<string>",
      "clearance_level": 123
    }
  ],
  "platform_tools": {},
  "continue_after_flow": true
}
'

import requests

url = "https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id}"

payload = {
    "base_version": 123,
    "persona": "<string>",
    "system_prompt": "<string>",
    "system_context_variables": [
        {
            "name": "<string>",
            "enum_values": ["<string>"],
            "description": "<string>"
        }
    ],
    "context_variables": [
        {
            "name": "<string>",
            "enum_values": ["<string>"],
            "description": "<string>",
            "source": "system",
            "reask_cap": None
        }
    ],
    "variable_defaults": {},
    "channel_specific_config": {},
    "router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model_settings": {
        "model": "<string>",
        "config": {
            "temperature": 1,
            "max_tokens": 2,
            "top_p": 0.5,
            "stop_sequences": ["<string>"],
            "request_timeout_ms": 10500,
            "thinking_budget": 2
        }
    },
    "analyzer_model_settings": {
        "model": "<string>",
        "config": {
            "temperature": 1,
            "max_tokens": 2,
            "top_p": 0.5,
            "stop_sequences": ["<string>"],
            "request_timeout_ms": 10500,
            "thinking_budget": 2
        }
    },
    "workflow_enabled": False,
    "memory_enabled": True,
    "current_time": {
        "enabled": True,
        "timezone": "<string>"
    },
    "kb_clearance_level": 123,
    "kb_audience_tags": ["<string>"],
    "tool_refs": [
        {
            "id": "<string>",
            "slug": "<string>",
            "output_bindings": {},
            "input_defaults": {}
        }
    ],
    "knowledge_base_refs": [
        {
            "id": "<string>",
            "description": "<string>",
            "clearance_level": 123
        }
    ],
    "platform_tools": {},
    "continue_after_flow": True
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.patch(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    base_version: 123,
    persona: '<string>',
    system_prompt: '<string>',
    system_context_variables: [{name: '<string>', enum_values: ['<string>'], description: '<string>'}],
    context_variables: [
      {
        name: '<string>',
        enum_values: ['<string>'],
        description: '<string>',
        source: 'system',
        reask_cap: null
      }
    ],
    variable_defaults: {},
    channel_specific_config: {},
    router_config_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    model_settings: {
      model: '<string>',
      config: {
        temperature: 1,
        max_tokens: 2,
        top_p: 0.5,
        stop_sequences: ['<string>'],
        request_timeout_ms: 10500,
        thinking_budget: 2
      }
    },
    analyzer_model_settings: {
      model: '<string>',
      config: {
        temperature: 1,
        max_tokens: 2,
        top_p: 0.5,
        stop_sequences: ['<string>'],
        request_timeout_ms: 10500,
        thinking_budget: 2
      }
    },
    workflow_enabled: false,
    memory_enabled: true,
    current_time: {enabled: true, timezone: '<string>'},
    kb_clearance_level: 123,
    kb_audience_tags: ['<string>'],
    tool_refs: [{id: '<string>', slug: '<string>', output_bindings: {}, input_defaults: {}}],
    knowledge_base_refs: [{id: '<string>', description: '<string>', clearance_level: 123}],
    platform_tools: {},
    continue_after_flow: true
  })
};

fetch('https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_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-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'base_version' => 123,
    'persona' => '<string>',
    'system_prompt' => '<string>',
    'system_context_variables' => [
        [
                'name' => '<string>',
                'enum_values' => [
                                '<string>'
                ],
                'description' => '<string>'
        ]
    ],
    'context_variables' => [
        [
                'name' => '<string>',
                'enum_values' => [
                                '<string>'
                ],
                'description' => '<string>',
                'source' => 'system',
                'reask_cap' => null
        ]
    ],
    'variable_defaults' => [
        
    ],
    'channel_specific_config' => [
        
    ],
    'router_config_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'model_settings' => [
        'model' => '<string>',
        'config' => [
                'temperature' => 1,
                'max_tokens' => 2,
                'top_p' => 0.5,
                'stop_sequences' => [
                                '<string>'
                ],
                'request_timeout_ms' => 10500,
                'thinking_budget' => 2
        ]
    ],
    'analyzer_model_settings' => [
        'model' => '<string>',
        'config' => [
                'temperature' => 1,
                'max_tokens' => 2,
                'top_p' => 0.5,
                'stop_sequences' => [
                                '<string>'
                ],
                'request_timeout_ms' => 10500,
                'thinking_budget' => 2
        ]
    ],
    'workflow_enabled' => false,
    'memory_enabled' => true,
    'current_time' => [
        'enabled' => true,
        'timezone' => '<string>'
    ],
    'kb_clearance_level' => 123,
    'kb_audience_tags' => [
        '<string>'
    ],
    'tool_refs' => [
        [
                'id' => '<string>',
                'slug' => '<string>',
                'output_bindings' => [
                                
                ],
                'input_defaults' => [
                                
                ]
        ]
    ],
    'knowledge_base_refs' => [
        [
                'id' => '<string>',
                'description' => '<string>',
                'clearance_level' => 123
        ]
    ],
    'platform_tools' => [
        
    ],
    'continue_after_flow' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

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

curl_close($curl);

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

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id}"

	payload := strings.NewReader("{\n  \"base_version\": 123,\n  \"persona\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"system_context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\"\n    }\n  ],\n  \"context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\",\n      \"source\": \"system\",\n      \"reask_cap\": null\n    }\n  ],\n  \"variable_defaults\": {},\n  \"channel_specific_config\": {},\n  \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"analyzer_model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"workflow_enabled\": false,\n  \"memory_enabled\": true,\n  \"current_time\": {\n    \"enabled\": true,\n    \"timezone\": \"<string>\"\n  },\n  \"kb_clearance_level\": 123,\n  \"kb_audience_tags\": [\n    \"<string>\"\n  ],\n  \"tool_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"slug\": \"<string>\",\n      \"output_bindings\": {},\n      \"input_defaults\": {}\n    }\n  ],\n  \"knowledge_base_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"description\": \"<string>\",\n      \"clearance_level\": 123\n    }\n  ],\n  \"platform_tools\": {},\n  \"continue_after_flow\": true\n}")

	req, _ := http.NewRequest("PATCH", url, payload)

	req.Header.Add("x-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.patch("https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id}")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"base_version\": 123,\n  \"persona\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"system_context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\"\n    }\n  ],\n  \"context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\",\n      \"source\": \"system\",\n      \"reask_cap\": null\n    }\n  ],\n  \"variable_defaults\": {},\n  \"channel_specific_config\": {},\n  \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"analyzer_model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"workflow_enabled\": false,\n  \"memory_enabled\": true,\n  \"current_time\": {\n    \"enabled\": true,\n    \"timezone\": \"<string>\"\n  },\n  \"kb_clearance_level\": 123,\n  \"kb_audience_tags\": [\n    \"<string>\"\n  ],\n  \"tool_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"slug\": \"<string>\",\n      \"output_bindings\": {},\n      \"input_defaults\": {}\n    }\n  ],\n  \"knowledge_base_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"description\": \"<string>\",\n      \"clearance_level\": 123\n    }\n  ],\n  \"platform_tools\": {},\n  \"continue_after_flow\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api-sandbox.featherhq.com/v1/assistants/{agent_id}/revisions/{revision_id}")

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

request = Net::HTTP::Patch.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"base_version\": 123,\n  \"persona\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"system_context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\"\n    }\n  ],\n  \"context_variables\": [\n    {\n      \"name\": \"<string>\",\n      \"enum_values\": [\n        \"<string>\"\n      ],\n      \"description\": \"<string>\",\n      \"source\": \"system\",\n      \"reask_cap\": null\n    }\n  ],\n  \"variable_defaults\": {},\n  \"channel_specific_config\": {},\n  \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"analyzer_model_settings\": {\n    \"model\": \"<string>\",\n    \"config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"top_p\": 0.5,\n      \"stop_sequences\": [\n        \"<string>\"\n      ],\n      \"request_timeout_ms\": 10500,\n      \"thinking_budget\": 2\n    }\n  },\n  \"workflow_enabled\": false,\n  \"memory_enabled\": true,\n  \"current_time\": {\n    \"enabled\": true,\n    \"timezone\": \"<string>\"\n  },\n  \"kb_clearance_level\": 123,\n  \"kb_audience_tags\": [\n    \"<string>\"\n  ],\n  \"tool_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"slug\": \"<string>\",\n      \"output_bindings\": {},\n      \"input_defaults\": {}\n    }\n  ],\n  \"knowledge_base_refs\": [\n    {\n      \"id\": \"<string>\",\n      \"description\": \"<string>\",\n      \"clearance_level\": 123\n    }\n  ],\n  \"platform_tools\": {},\n  \"continue_after_flow\": true\n}"

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

{
  "revision": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "system_context_variables": [
      {
        "name": "<string>",
        "type": "string",
        "enum_values": [
          "<string>"
        ],
        "description": "<string>"
      }
    ],
    "description": "<string>",
    "persona": "<string>",
    "system_prompt": "<string>",
    "context_variables": [
      {
        "name": "<string>",
        "type": "string",
        "source": "derived",
        "enum_values": [
          "<string>"
        ],
        "reask_cap": 123,
        "description": "<string>"
      }
    ],
    "variable_defaults": {},
    "tool_refs": [
      {}
    ],
    "knowledge_base_refs": [
      {}
    ],
    "platform_tools": {},
    "policies_enabled": true,
    "policy_refs": [
      {}
    ],
    "channel_specific_config": {},
    "router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model_settings": {
      "model": "<string>",
      "config": {
        "temperature": 1,
        "max_tokens": 2,
        "top_p": 0.5,
        "stop_sequences": [
          "<string>"
        ],
        "reasoning_effort": "none",
        "request_timeout_ms": 10500,
        "thinking_budget": 2
      }
    },
    "analyzer_model_settings": {
      "model": "<string>",
      "config": {
        "temperature": 1,
        "max_tokens": 2,
        "top_p": 0.5,
        "stop_sequences": [
          "<string>"
        ],
        "reasoning_effort": "none",
        "request_timeout_ms": 10500,
        "thinking_budget": 2
      }
    },
    "workflow_enabled": false,
    "memory_enabled": true,
    "current_time": {
      "enabled": true,
      "timezone": "<string>"
    },
    "kb_clearance_level": 123,
    "kb_audience_tags": [
      "<string>"
    ],
    "continue_after_flow": true,
    "voice_call_settings": {},
    "created_by": "<string>",
    "published_at": "2023-11-07T05:31:56Z"
  },
  "version": 0,
  "prompt_findings": [
    {
      "severity": "error",
      "rule_id": "<string>",
      "category": "<string>",
      "message": "<string>",
      "node_id": "<string>",
      "edge_id": "<string>",
      "related_node_ids": [
        "<string>"
      ],
      "related_edge_ids": [
        "<string>"
      ],
      "source_span": {
        "start_line": 123,
        "start_col": 123,
        "end_line": 123,
        "end_col": 123,
        "raw_text_excerpt": "<string>"
      },
      "suggested_fix": "<string>",
      "related_spans": [
        {
          "start_line": 123,
          "start_col": 123,
          "end_line": 123,
          "end_col": 123,
          "raw_text_excerpt": "<string>"
        }
      ]
    }
  ]
}

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