> ## Documentation Index
> Fetch the complete documentation index at: https://docs.presenton.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Text providers
> Configure hosted models, local runtimes, model gateways, and OpenAI-compatible endpoints.
The text provider creates outlines, writes slide content, and powers AI-assisted edits. Set `LLM` to one provider identifier and supply that provider's required credentials and model.
## Supported providers
| Provider | `LLM` value | Required settings | Common optional settings |
| --------------------- | ------------ | ------------------------------------------------------ | ---------------------------------------------------------------------- |
| OpenAI | `openai` | `OPENAI_API_KEY` | `OPENAI_MODEL` (default `gpt-4.1`) |
| DeepSeek | `deepseek` | `DEEPSEEK_API_KEY` | `DEEPSEEK_MODEL`, `DEEPSEEK_BASE_URL` |
| Google Gemini | `google` | `GOOGLE_API_KEY` | `GOOGLE_MODEL` |
| Google Vertex AI | `vertex` | `VERTEX_API_KEY`, or project credentials | `VERTEX_MODEL`, `VERTEX_PROJECT`, `VERTEX_LOCATION`, `VERTEX_BASE_URL` |
| Azure OpenAI | `azure` | API key, model, API version, and endpoint or base URL | Deployment name |
| Amazon Bedrock | `bedrock` | Region, model, and one supported AWS credential method | Session token or profile |
| OpenRouter | `openrouter` | `OPENROUTER_API_KEY`, `OPENROUTER_MODEL` | `OPENROUTER_BASE_URL` |
| Fireworks | `fireworks` | `FIREWORKS_API_KEY`, `FIREWORKS_MODEL` | `FIREWORKS_BASE_URL` |
| Together AI | `together` | `TOGETHER_API_KEY`, `TOGETHER_MODEL` | `TOGETHER_BASE_URL` |
| Cerebras | `cerebras` | `CEREBRAS_API_KEY` | `CEREBRAS_MODEL`, `CEREBRAS_BASE_URL` |
| Anthropic | `anthropic` | `ANTHROPIC_API_KEY` | `ANTHROPIC_MODEL` |
| LiteLLM | `litellm` | `LITELLM_BASE_URL`, `LITELLM_MODEL` | `LITELLM_API_KEY` |
| LM Studio | `lmstudio` | `LMSTUDIO_BASE_URL`, `LMSTUDIO_MODEL` | `LMSTUDIO_API_KEY` |
| Ollama | `ollama` | `OLLAMA_MODEL` | `OLLAMA_URL`, `START_OLLAMA` |
| Custom compatible API | `custom` | `CUSTOM_LLM_URL`, `CUSTOM_MODEL` | `CUSTOM_LLM_API_KEY` |
| ChatGPT through Codex | `codex` | Interactive OAuth | `CODEX_MODEL` |
Set `CAN_CHANGE_KEYS=false` to prevent provider keys from being changed in the UI.
## ChatGPT sign-in through Codex
Use this provider when you want to authenticate with an existing free or paid ChatGPT account instead of an OpenAI API key.
```dotenv theme={null}
LLM=codex
CODEX_MODEL=gpt-5.5
```
Docker must publish the OAuth callback port in addition to the application port:
```bash theme={null}
--publish 5001:80 --publish 1455:1455
```
Open Presenton, select **Sign in with ChatGPT**, and complete the browser flow. OpenAI redirects the browser to `http://localhost:1455/auth/callback`, so omitting the callback mapping prevents containerized sign-in from completing. The source repository's Compose services already publish this port.
Port `1455` is only for ChatGPT/Codex OAuth. The REST API and MCP server both use the normal Presenton web port.
See Docker Run, Compose, supported model identifiers, and remote-host port forwarding.
## Hosted-provider examples
```dotenv theme={null}
LLM=openai
OPENAI_API_KEY=replace-with-your-key
OPENAI_MODEL=gpt-4.1
```
```dotenv theme={null}
LLM=google
GOOGLE_API_KEY=replace-with-your-key
GOOGLE_MODEL=models/gemini-2.0-flash
```
```dotenv theme={null}
LLM=anthropic
ANTHROPIC_API_KEY=replace-with-your-key
ANTHROPIC_MODEL=claude-3-5-sonnet-20241022
```
```dotenv theme={null}
LLM=openrouter
OPENROUTER_API_KEY=replace-with-your-key
OPENROUTER_MODEL=openai/gpt-4o
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
```
## Cloud-provider authentication
### Vertex AI
Use either an API key or Google Cloud project authentication—not both.
```dotenv theme={null}
LLM=vertex
VERTEX_API_KEY=replace-with-your-key
VERTEX_MODEL=gemini-2.5-flash
```
```dotenv theme={null}
LLM=vertex
VERTEX_PROJECT=your-project-id
VERTEX_LOCATION=us-central1
VERTEX_MODEL=gemini-2.5-flash
```
### Azure OpenAI
```dotenv theme={null}
LLM=azure
AZURE_OPENAI_API_KEY=replace-with-your-key
AZURE_OPENAI_MODEL=gpt-4.1
AZURE_OPENAI_API_VERSION=2024-10-21
AZURE_OPENAI_ENDPOINT=https://YOUR-RESOURCE.openai.azure.com
```
Provide at least one supported endpoint or base URL. If your Azure configuration uses a deployment name distinct from the model, set the corresponding deployment variable as well.
Choose an authentication method, model ID or inference profile, and the required IAM permissions.
## Local and compatible providers
### Ollama
```dotenv theme={null}
LLM=ollama
OLLAMA_URL=http://host.docker.internal:11434
OLLAMA_MODEL=llama3.2:3b
START_OLLAMA=false
```
### LM Studio
```dotenv theme={null}
LLM=lmstudio
LMSTUDIO_BASE_URL=http://host.docker.internal:1234
LMSTUDIO_MODEL=openai/gpt-oss-20b
```
Presenton appends `/v1` to the LM Studio base URL when needed.
### Custom OpenAI-compatible API
```dotenv theme={null}
LLM=custom
CUSTOM_LLM_URL=https://gateway.example.com/v1
CUSTOM_LLM_API_KEY=replace-with-your-key
CUSTOM_MODEL=your-model-id
```
Use `DISABLE_THINKING=true` when a compatible model's reasoning mode causes unwanted behavior. Use `EXTENDED_REASONING` only with a provider and model that supports it.
## Apply and test changes
Restart the container after changing environment variables:
```bash theme={null}
docker compose up --detach --force-recreate production
docker compose logs --tail 100 production
```
Generate a short test presentation before relying on a new model in production. Provider access, supported model names, regional availability, and account quotas can all affect generation.
A model being available from a provider does not guarantee that your account can invoke it. Confirm access and quotas in the provider console when authentication succeeds but generation fails.