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🚀 EDDI 6.5.0

19 LLM providers, knowledge bases that crawl your site and read your files, and conversations that follow compatible agent versionsWhat's new

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AnthropicFrontier

Claude Sonnet 5.5

Anthropic's balance of speed and intelligence for everyday coding, agent and enterprise work, with adaptive thinking on by default.

Strengths

  • Fast responses
  • 1M-token context with 128K output
  • Thinking can be kept to between tool calls
  • Reliable tool use

Best For

  • Code generation
  • Data analysis
  • Content creation
  • Agents with tools

Run It in EDDI

The fastest route is the Manager: open the agent wizard or the Platform Operator and pick the provider and model. To configure it yourself, follow these steps for the provider you want.

Anthropic · type: "anthropic"

Model ids: claude-sonnet-5-5, claude-sonnet-5

1. Store the credential

Add the provider's API key to the Secrets Vault in the Manager, or with PUT /secretstore/secrets/default/anthropic-key, under the name used below. Configurations reference it as ${vault:…}, so the key never appears in plain text.

${vault:anthropic-key}

2. Configure the LLM task

Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.

{
  "tasks": [
    {
      "actions": [
        "send_message"
      ],
      "id": "chat",
      "type": "anthropic",
      "parameters": {
        "apiKey": "${vault:anthropic-key}",
        "modelName": "claude-sonnet-5-5",
        "maxTokens": "16384",
        "systemMessage": "You are a helpful assistant",
        "addToOutput": "true"
      }
    }
  ]
}

Or create the whole agent in one call

setup_agent writes the rules, LLM configuration and workflow, then deploys the agent. Call it over MCP or POST /administration/agents/setup.

setup_agent(
  agentName: "My claude-sonnet-5-5 agent",
  systemPrompt: "You are a helpful assistant.",
  provider: "anthropic",
  model: "claude-sonnet-5-5",
  apiKey: "${vault:anthropic-key}"
)

Amazon Bedrock · type: "bedrock"

Model ids: global.anthropic.claude-sonnet-5-5, anthropic.claude-sonnet-5

1. Store the credential

This provider does not use an API key: Amazon Bedrock authenticates through the AWS credential chain: environment variables, an IAM role, or ~/.aws/credentials.

2. Configure the LLM task

Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.

{
  "tasks": [
    {
      "actions": [
        "send_message"
      ],
      "id": "chat",
      "type": "bedrock",
      "parameters": {
        "modelId": "global.anthropic.claude-sonnet-5-5",
        "region": "us-east-1",
        "maxTokens": "16384",
        "systemMessage": "You are a helpful assistant",
        "addToOutput": "true"
      }
    }
  ]
}

Notes for EDDI

  • Leave temperature unset. Current Claude models reject a non-default temperature, and EDDI's setup tools already leave it out.

Related Models

Sources

The facts on this page come from the vendor's documentation, checked on 2026-09-30. Models change quickly, so confirm limits with the vendor before you rely on them. Prices are not listed here: see the vendor's pricing page.

Vendor documentation ↗ · Pricing ↗