Claude Haiku 4.5 Chat Reply (Fixed Model, Short Answers)

omnial/ai-chat-completion

Sends a conversation of user and assistant turns to Anthropic's Claude Haiku 4.5 model, with its default settings and a cap on the reply length, and returns the model's next reply: the reply text blocks, the reply's role, why the model stopped, the model version that answered, and the input and output token counts.

activeper callv1

Price

Up to $0.0166 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

Anthropic

Generated by Anthropic's Claude.

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/ai-chat-completion" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/ai-chat-completion" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/ai-chat-completion", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/ai-chat-completion", 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	$0.0166

Updated: Oct 15, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "messages",
    "model",
    "max_tokens"
  ],
  "properties": {
    "model": {
      "enum": [
        "anthropic/claude-haiku-4.5"
      ],
      "type": "string",
      "description": "The model to answer with; only anthropic/claude-haiku-4.5 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": 2000,
            "minLength": 1,
            "description": "The turn's text."
          }
        },
        "additionalProperties": false
      },
      "maxItems": 10,
      "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."
    },
    "max_tokens": {
      "type": "integer",
      "maximum": 256,
      "minimum": 1,
      "description": "The most tokens the reply may use, from 1 to 256."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "role": {
      "type": "string",
      "description": "Always assistant."
    },
    "model": {
      "type": "string",
      "description": "The model version that answered."
    },
    "usage": {
      "type": "object",
      "properties": {
        "input_tokens": {
          "type": "number",
          "description": "Tokens in the conversation sent."
        },
        "output_tokens": {
          "type": "number",
          "description": "Tokens in the reply."
        }
      }
    },
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "The reply text."
          },
          "type": {
            "type": "string",
            "description": "The block type, text."
          }
        }
      },
      "description": "The reply, as text blocks."
    },
    "stop_reason": {
      "type": "string",
      "description": "Why the model stopped, e.g. end_turn when the reply was complete."
    }
  },
  "description": "The model's reply."
}