language model (LLM) providers, such as OpenAI and Anthropic, within an organization. It offers a high-level interface
that simplifies the interaction with these services by providing a unified endpoint to handle specific LLM related requests.
See the MLflow AI Gateway documentation for more details.Installation and Setup‚ÄãInstall mlflow with MLflow AI Gateway dependencies:pip install 'mlflow[gateway]'Set the OpenAI API key as an environment variable:export OPENAI_API_KEY=...Create a configuration file:routes:  - name: completions    route_type: llm/v1/completions    model:      provider: openai      name: text-davinci-003      config:        openai_api_key: $OPENAI_API_KEY  - name: embeddings    route_type: llm/v1/embeddings    model:      provider: openai      name: text-embedding-ada-002      config:        openai_api_key: $OPENAI_API_KEYStart the Gateway server:mlflow gateway start --config-path /path/to/config.yamlExample provided by MLflow‚ÄãThe mlflow.langchain module provides an API for logging and loading LangChain models.
This module exports multivariate LangChain models in the langchain flavor and univariate LangChain
The MLflow AI Gateway service is a powerful tool designed to streamline the usage and management of various large
The MLflow AI Gateway service is a powerful tool designed to streamline the usage and management of various large ->: language model (LLM) providers, such as OpenAI and Anthropic, within an organization. It offers a high-level interface
that simplifies the interaction with these services by providing a unified endpoint to handle specific LLM related requests.
See the MLflow AI Gateway documentation for more details.Installation and Setup‚ÄãInstall mlflow with MLflow AI Gateway dependencies:pip install 'mlflow[gateway]'Set the OpenAI API key as an environment variable:export OPENAI_API_KEY=...Create a configuration file:routes:  - name: completions    route_type: llm/v1/completions    model:      provider: openai      name: text-davinci-003      config:        openai_api_key: $OPENAI_API_KEY  - name: embeddings    route_type: llm/v1/embeddings    model:      provider: openai      name: text-embedding-ada-002      config:        openai_api_key: $OPENAI_API_KEYStart the Gateway server:mlflow gateway start --config-path /path/to/config.yamlExample provided by MLflow‚ÄãThe mlflow.langchain module provides an API for logging and loading LangChain models.
This module exports multivariate LangChain models in the langchain flavor and univariate LangChain