GPT-4o mini Chat Reply (Fixed Model, Default Settings)

omnial/gpt-4o-mini-chat-reply

Sends a conversation of user and assistant turns to OpenAI's GPT-4o mini model, with its default settings, and returns the model's next reply: the reply text and role, why the model stopped, the reply's creation time, and the prompt, reply and total token counts.

activeper callv2

Price

Up to $0.00301 per call; you pay what the call used

The price shown is the price you pay. No monthly minimum. Top-ups start at $5.

Data source

OpenAI

Replies generated by OpenAI's GPT-4o mini model.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/gpt-4o-mini-chat-reply" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/gpt-4o-mini-chat-reply" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/gpt-4o-mini-chat-reply", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/gpt-4o-mini-chat-reply", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.00301

Updated: Oct 14, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "messages",
    "model"
  ],
  "properties": {
    "model": {
      "enum": [
        "gpt-4o-mini"
      ],
      "type": "string",
      "description": "The model to answer with; only gpt-4o-mini is offered."
    },
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "role": {
            "enum": [
              "user",
              "assistant"
            ],
            "type": "string",
            "description": "Who wrote the turn."
          },
          "content": {
            "type": "string",
            "maxLength": 8000,
            "minLength": 1,
            "description": "The turn's text."
          }
        },
        "additionalProperties": false
      },
      "maxItems": 20,
      "minItems": 1,
      "description": "The conversation so far, oldest first. Each turn has a role (user or assistant) and its text; end with a user turn for the model to answer."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "usage": {
      "type": "object",
      "properties": {
        "total_tokens": {
          "type": "number",
          "description": "The two counts added together."
        },
        "prompt_tokens": {
          "type": "number",
          "description": "Tokens in the conversation sent."
        },
        "completion_tokens": {
          "type": "number",
          "description": "Tokens in the reply."
        }
      }
    },
    "choices": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "index": {
            "type": "number",
            "description": "Position of the reply, 0."
          },
          "message": {
            "type": "object",
            "properties": {
              "role": {
                "type": "string",
                "description": "Always assistant."
              },
              "content": {
                "type": "string",
                "description": "The reply text."
              }
            }
          },
          "finish_reason": {
            "type": "string",
            "description": "Why the model stopped, e.g. stop when the reply was complete."
          }
        }
      },
      "description": "The reply; one entry."
    },
    "created": {
      "type": "number",
      "description": "When the reply was created, as Unix seconds."
    }
  },
  "description": "The model's reply."
}