LangChain providers¶

URSA initializes chat and embedding models through LangChain. The model string usually uses:

<provider>:<model-name>

The following provider integrations are installed with URSA's core dependencies and are common choices for URSA workflows.

OpenAI¶

llm_model:
  model: openai:gpt-5.4
  api_key_env: OPENAI_API_KEY

Anthropic¶

llm_model:
  model: anthropic:claude-sonnet-4-5
  api_key_env: ANTHROPIC_API_KEY

Google GenAI¶

llm_model:
  model: google_genai:gemini-2.5-pro
  api_key_env: GOOGLE_API_KEY

Ollama¶

llm_model:
  model: ollama:gpt-oss-20b
  base_url: http://localhost:11434

Azure OpenAI¶

llm_model:
  model: azure_openai:deployment-name
  base_url: https://your-resource.openai.azure.com/
  api_key_env: AZURE_OPENAI_API_KEY

Azure deployments often need provider-specific settings. LangChain accepts additional provider keyword arguments, and URSA allows extra model fields in the YAML model configuration.

Additional provider options¶

URSA passes model settings to LangChain. For provider-specific options, consult the LangChain provider documentation:

langchain-openai
langchain-anthropic
langchain-google-genai
langchain-ollama

If you use a provider integration that is not installed by URSA, install the relevant LangChain package in the same environment.