Strengths
- 1.05M-token context and 128K output
- Reasoning effort from none to max
- Text and image input
Best For
- Sol: complex professional work
- Terra: a balance of capability and cost
- Luna: cost-sensitive volume
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.
OpenAI · type: "openai"
Model ids: gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna
1. Store the credential
Add the provider's API key to the Secrets Vault in the Manager, or with PUT /secretstore/secrets/default/openai-key, under the name used below. Configurations reference it as ${vault:…}, so the key never appears in plain text.
${vault:openai-key}2. Configure the LLM task
Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.
{
"tasks": [
{
"actions": [
"send_message"
],
"id": "chat",
"type": "openai",
"parameters": {
"apiKey": "${vault:openai-key}",
"modelName": "gpt-5.6-sol",
"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 gpt-5.6-sol agent",
systemPrompt: "You are a helpful assistant.",
provider: "openai",
model: "gpt-5.6-sol",
apiKey: "${vault:openai-key}"
)Azure OpenAI · type: "azure-openai"
Model ids: gpt-5.6-sol
1. Store the credential
Add the provider's API key to the Secrets Vault in the Manager, or with PUT /secretstore/secrets/default/azure-openai-key, under the name used below. Configurations reference it as ${vault:…}, so the key never appears in plain text.
${vault:azure-openai-key}2. Configure the LLM task
Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.
{
"tasks": [
{
"actions": [
"send_message"
],
"id": "chat",
"type": "azure-openai",
"parameters": {
"apiKey": "${vault:azure-openai-key}",
"deploymentName": "gpt-5.6-sol",
"endpoint": "https://your-resource.openai.azure.com",
"systemMessage": "You are a helpful assistant",
"addToOutput": "true"
}
}
]
}Notes for EDDI
- On Azure OpenAI,
deploymentNameis the name you gave the deployment in your Azure resource, not the model name.
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.