Documentation Index
Fetch the complete documentation index at: https://docs.agentuse.io/llms.txt
Use this file to discover all available pages before exploring further.
Model Reference
This page lists recommended models for AgentUse, organized by provider.
Note: Other models from these providers may also work. These are the ones we recommend and test against.
Auto-generated: Run pnpm generate:models to update.
Quick Reference
Default models:
- Anthropic:
anthropic:claude-sonnet-4-6 (balanced performance)
- OpenAI:
openai:gpt-5.5 (latest GPT)
- OpenRouter:
openrouter:z-ai/glm-4.7 (open source)
- Amazon Bedrock:
bedrock:us.anthropic.claude-sonnet-4-5-20250929-v1:0
Recommended Models
Anthropic
| Model ID | Name | Context | Output | Capabilities |
|---|
anthropic:claude-opus-4-7 | Claude Opus 4.7 | 1,000,000 | 128,000 | Reasoning, Vision, Tools |
anthropic:claude-sonnet-4-6 | Claude Sonnet 4.6 | 1,000,000 | 64,000 | Reasoning, Vision, Tools |
anthropic:claude-haiku-4-5 | Claude Haiku 4.5 (latest) | 200,000 | 64,000 | Reasoning, Vision, Tools |
anthropic:claude-haiku-4-5-20251001 | Claude Haiku 4.5 | 200,000 | 64,000 | Reasoning, Vision, Tools |
OpenAI
| Model ID | Name | Context | Output | Capabilities |
|---|
openai:gpt-5.5 | GPT-5.5 | 1,050,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.5-pro | GPT-5.5 Pro | 1,050,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.4 | GPT-5.4 | 1,050,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.4-pro | GPT-5.4 Pro | 1,050,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.4-mini | GPT-5.4 mini | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.4-nano | GPT-5.4 nano | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.3-codex | GPT-5.3 Codex | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.3-chat-latest | GPT-5.3 Chat (latest) | 128,000 | 16,384 | Vision, Tools |
openai:gpt-5.3-codex-spark | GPT-5.3 Codex Spark | 128,000 | 32,000 | Reasoning, Vision, Tools |
openai:gpt-5.2 | GPT-5.2 | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.2-pro | GPT-5.2 Pro | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.2-codex | GPT-5.2 Codex | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.2-chat-latest | GPT-5.2 Chat | 128,000 | 16,384 | Reasoning, Vision, Tools |
openai:gpt-5.1 | GPT-5.1 | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.1-codex | GPT-5.1 Codex | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.1-codex-max | GPT-5.1 Codex Max | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.1-codex-mini | GPT-5.1 Codex mini | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5.1-chat-latest | GPT-5.1 Chat | 128,000 | 16,384 | Reasoning, Vision, Tools |
openai:gpt-5 | GPT-5 | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5-pro | GPT-5 Pro | 400,000 | 272,000 | Reasoning, Vision, Tools |
openai:gpt-5-mini | GPT-5 Mini | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5-nano | GPT-5 Nano | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5-codex | GPT-5-Codex | 400,000 | 128,000 | Reasoning, Vision, Tools |
openai:gpt-5-chat-latest | GPT-5 Chat (latest) | 400,000 | 128,000 | Reasoning, Vision |
OpenRouter
| Model ID | Name | Context | Output | Capabilities |
|---|
openrouter:z-ai/glm-4.7 | GLM-4.7 | 204,800 | 131,072 | Reasoning, Tools |
openrouter:z-ai/glm-4.7-flash | GLM-4.7-Flash | 200,000 | 65,535 | Reasoning, Tools |
openrouter:z-ai/glm-4.6 | GLM 4.6 | 200,000 | 128,000 | Reasoning, Tools |
openrouter:z-ai/glm-4.6:exacto | GLM 4.6 (exacto) | 200,000 | 128,000 | Reasoning, Tools |
openrouter:z-ai/glm-4.5 | GLM 4.5 | 128,000 | 96,000 | Reasoning, Tools |
openrouter:z-ai/glm-4.5v | GLM 4.5V | 64,000 | 16,384 | Reasoning, Vision, Tools |
openrouter:z-ai/glm-4.5-air | GLM 4.5 Air | 128,000 | 96,000 | Reasoning, Tools |
openrouter:z-ai/glm-4.5-air:free | GLM 4.5 Air (free) | 128,000 | 96,000 | Reasoning |
openrouter:minimax/minimax-m2.1 | MiniMax M2.1 | 204,800 | 131,072 | Reasoning, Tools |
Amazon Bedrock
Bedrock model IDs are passed through unchanged and are not validated against the static registry. Use any model ID supported by your AWS account and region.
| Model ID (example) | Notes |
|---|
bedrock:us.anthropic.claude-sonnet-4-5-20250929-v1:0 | Claude Sonnet 4.5 (US cross-region inference profile) |
bedrock:anthropic.claude-3-5-sonnet-20241022-v2:0 | Claude 3.5 Sonnet v2 |
bedrock:anthropic.claude-3-haiku-20240307-v1:0 | Claude 3 Haiku |
bedrock:meta.llama3-70b-instruct-v1:0 | Llama 3 70B Instruct |
bedrock:mistral.mistral-large-2402-v1:0 | Mistral Large |
bedrock:us.amazon.nova-pro-v1:0 | Amazon Nova Pro |
See the Amazon Bedrock model catalog for the full list. Model availability depends on the AWS region and on the model access granted in your account.
Authentication uses standard AWS environment variables (AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY / AWS_REGION, optional AWS_SESSION_TOKEN) or AWS_BEARER_TOKEN_BEDROCK. See the Model Configuration guide for details.
Custom Providers (Local LLMs)
In addition to the built-in providers above, you can connect any OpenAI-compatible endpoint as a custom provider:
# Add Ollama
agentuse provider add ollama --url http://localhost:11434/v1
# Add LM Studio
agentuse provider add lmstudio --url http://localhost:1234/v1
Then use any model available on those endpoints:
agentuse run agent.agentuse -m ollama:glm-4.7-flash:q4_K_M
agentuse run agent.agentuse -m ollama:qwen3.5:0.8b
agentuse run agent.agentuse -m lmstudio:qwen/qwen3.5-9b
See Model Configuration for full setup details.
Usage
Specify a model in your agent file:
---
model: anthropic:claude-sonnet-4-6
---
Or override via CLI:
agentuse run agent.agentuse -m openai:gpt-5.5
agentuse run agent.agentuse -m ollama:glm-4.7-flash:q4_K_M