Strengths
- Eight languages
- Tool use
- 128K context
Best For
- Self-hosted general chat
- Multilingual assistants
- Synthetic data generation
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.
Ollama (local) · type: "ollama"
Model ids: llama3.3:70b
1. Store the credential
This provider does not use an API key: Ollama needs no key. Point baseUrl at your Ollama server; with EDDI's Ollama overlay it is http://ollama:11434.
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": "ollama",
"parameters": {
"baseUrl": "http://ollama:11434",
"model": "llama3.3:70b",
"timeout": "120000",
"systemMessage": "You are a helpful assistant",
"addToOutput": "true"
}
}
]
}Oracle OCI Generative AI · type: "oracle-genai"
Model ids: meta.llama-3.3-70b-instruct
1. Store the credential
This provider does not use an API key: OCI Generative AI authenticates with an OCI config profile from ~/.oci/config. Set compartmentId for your tenancy.
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": "oracle-genai",
"parameters": {
"modelName": "meta.llama-3.3-70b-instruct",
"compartmentId": "ocid1.compartment.oc1..your-compartment",
"configProfile": "DEFAULT",
"systemMessage": "You are a helpful assistant",
"addToOutput": "true"
}
}
]
}Notes for EDDI
- Runs fully offline once the model is downloaded, so it suits air-gapped deployments.
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.