Tinfoil Release Notes

New Model: GLM-5.1

Added support for GLM-5.1, a frontier-class model built for agentic engineering with state-of-the-art performance on coding benchmarks and sustained reasoning over long tool-use sessions. Model ID:

glm-5-1

New Model: Gemma 4 31B

Added support for Gemma 4 31B, a multimodal model from Google DeepMind with image understanding, built-in thinking mode, and native function calling. Model ID:

gemma4-31b

Model Sunset: DeepSeek R1

DeepSeek R1 (
deepseek-r1-0528
) has been removed from the catalog.

New Model: Kimi K2 Thinking

Added support for Kimi K2 Thinking, an advanced thinking agent with deep multi-step reasoning and stable long-horizon tool orchestration capabilities. Model ID:

kimi-k2-thinking

Model Sunset: DeepSeek V3.1 Terminus

DeepSeek V3.1 Terminus (

deepseek-v31-terminus

) has been removed from the catalog.

Tinfoil Code Sunset

The Tinfoil Code experiment has been discontinued. Maintaining feature parity with the upstream Qwen-Code project proved unsustainable, and we shut down the experiment.

Encrypted HTTP Body Protocol (EHBP)

Breaking Change: The API now supports Encrypted HTTP Body Protocol (EHBP) for end-to-end encryption of request and response payloads using attested encryption keys while keeping HTTP headers in the clear for routing purposes. EHBP cryptographically guarantees that user data can only be decrypted inside the TEE when the key is retrieved from an attestation report.

Migration Required: Update all SDKs to version 0.10.0 or greater to maintain compatibility.

Python: pip install --upgrade tinfoil>=0.10.0

JavaScript: npm install tinfoil@latest

Swift: Update package dependency to 0.10.0 or greater

Go: go get github.com/tinfoilsh/tinfoil-go@latest

See the EHBP documentation for technical details.

SDK Updates - Simplified Client Initialization

All models can now be accessed through the unified model router hosted at https://inference.tinfoil.sh

The router automatically routes to the appropriate model enclave based on your API request This maintains a consistent endpoint across all models and matches OpenAI API standards.

Breaking Change: The enclave and repo parameters are now deprecated in the client initialization and have been removed from client constructors.

Before:

client = TinfoilAI(
enclave = "<enclave>.model.tinfoil.sh",
repo = "tinfoilsh/<config-repo>",
api_key = os.getenv("TINFOIL_API_KEY")
)

After:

client = TinfoilAI(
api_key = os.getenv("TINFOIL_API_KEY")
)

Migration Guide: Remove the enclave and repo parameters from your client initialization

Keep only the API key parameter. The SDK now automatically routes requests through https://inference.tinfoil.sh.