Coding agents

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Connection values

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OpenCode

1. Make your Pareto key available as PARETO_API_KEY in the environment that starts OpenCode.
2. Merge this configuration into ~/.config/opencode/opencode.json. Keep your existing providers and settings.

{
  "$schema": "https://opencode.ai/config.json",
  "model": "pareto/z-ai/glm-5.3-flash",
  "small_model": "pareto/z-ai/glm-5.3-flash",
  "provider": {
    "pareto": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Pareto Inference",
      "options": {
        "baseURL": "https://api.paretoinference.com/v1",
        "apiKey": "{env:PARETO_API_KEY}"
      },
      "models": {
        "z-ai/glm-5.3-flash": {
          "name": "GLM 5.3 Flash"
        }
      }
    }
  }
}

3. Run opencode models pareto.
4. Confirm that the command lists pareto/z-ai/glm-5.3-flash.
5. Start OpenCode.

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OMP

1. Make your Pareto key available as PARETO_API_KEY in the environment that starts OMP.
2. Merge this configuration into ~/.omp/agent/models.yml. Keep your existing providers.

providers:
  pareto:
    baseUrl: https://api.paretoinference.com/v1
    api: openai-completions
    apiKey: PARETO_API_KEY
    authHeader: true
    models:
      - id: z-ai/glm-5.3-flash
        name: GLM 5.3 Flash (Pareto)

3. Run omp models pareto.
4. Confirm that the command lists z-ai/glm-5.3-flash.
5. Start OMP with the Pareto model.

omp --model pareto/z-ai/glm-5.3-flash

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Kilo

1. Open Kilo Settings.
2. Open Providers.
3. Select Custom provider.
4. Set Provider ID to pareto.
5. Set Display name to Pareto.
6. Select OpenAI Compatible for Provider API.
7. Enter the Pareto base URL and your key.
8. Add or select z-ai/glm-5.3-flash under Models.
9. Save the provider and select this model for your session.

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Cline

1. Open Cline’s settings.
2. Select OpenAI Compatible for API Provider.
3. Set Base URL to https://api.paretoinference.com/v1.
4. Enter your Pareto API Key.
5. Set Model or Model ID to z-ai/glm-5.3-flash.
6. Save the settings.

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pi

1. Make your Pareto key available as PARETO_API_KEY in the environment that starts pi.
2. Add the pareto provider below to ~/.pi/agent/models.json. Keep any existing providers.

{
  "providers": {
    "pareto": {
      "baseUrl": "https://api.paretoinference.com/v1",
      "api": "openai-completions",
      "apiKey": "$PARETO_API_KEY",
      "models": [
        { "id": "z-ai/glm-5.3-flash", "name": "GLM 5.3 Flash (Pareto)" }
      ]
    }
  }
}

3. Start pi from that environment.
4. Run /model and select GLM 5.3 Flash (Pareto).

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Hermes

1. Run this command in your terminal, outside an active Hermes chat:

hermes model

2. Select Custom endpoint (self-hosted / VLLM / etc.).
3. Enter https://api.paretoinference.com/v1 as the API base URL.
4. Enter your Pareto API key.
5. Enter z-ai/glm-5.3-flash as the model name.
6. Choose Chat Completions for API compatibility, or accept Auto-detect. Auto-detect worked with the Pareto URL in the reported test.
7. Enter a display name, such as Pareto.
8. If the wizard asks for context length, use a confirmed Pareto deployment limit. Do not enter a guessed value. Pareto has not yet published this value.
9. Complete the setup and start a new Hermes session.

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OpenClaw

1. Make PARETO_API_KEY available to the OpenClaw process. A background service must receive the variable in its own environment.
2. Merge this configuration into ~/.openclaw/openclaw.json. Keep your existing providers and other settings.

{
  "agents": {
    "defaults": {
      "model": { "primary": "pareto/z-ai/glm-5.3-flash" }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "pareto": {
        "baseUrl": "https://api.paretoinference.com/v1",
        "apiKey": "${PARETO_API_KEY}",
        "api": "openai-completions",
        "models": [
          { "id": "z-ai/glm-5.3-flash", "name": "GLM 5.3 Flash (Pareto)" }
        ]
      }
    }
  }
}

3. Start a new session after OpenClaw loads the configuration.

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Check the connection

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Other API formats