Closed leehuwuj closed 3 months ago
Latest commit: e5faddbc864c01d62b39f2f7ea685a88635f13fe
The changes in this PR will be included in the next version bump.
Not sure what this means? Click here to learn what changesets are.
Click here if you're a maintainer who wants to add another changeset to this PR
The changes introduce new functionalities for a FastAPI application that leverages multiple AI models by integrating initialization functions for various model providers, settings configurations, utility functions, and server launchers. It particularly focuses on setting up a robust system for managing model configurations using environment variables, handling message queues, and initializing agents for querying and task management. This update also includes a README template, dependency updates, and conditional logic for setting up project environments.
Files/Paths | Change Summary |
---|---|
templates/types/multiagent/fastapi/app/settings.py |
Introduced functions for initializing settings based on different model providers and added chunk settings. |
templates/types/multiagent/fastapi/app/utils.py |
Added a function to load environment variables with error handling. |
templates/types/multiagent/fastapi/main.py |
Initialized agents and launched servers using ServerLauncher . |
templates/types/multiagent/fastapi/pyproject.toml |
Included dependencies for llama agents and OpenAI, and specified a script entry point. |
helpers/env-variables.ts , helpers/index.ts , helpers/python.ts |
Added functions to handle new template environment variables and updated parameters in existing functions. |
helpers/types.ts |
Expanded TemplateType to include "multiagent" . |
questions.ts |
Added conditional logic for handling questions based on the "multiagent" template. |
templates/types/multiagent/fastapi/README-template.md |
Introduced a README template for a FastAPI project with multi-agent support. |
templates/types/multiagent/fastapi/app/core/control_plane.py |
Set up a control plane server with message queue and agent orchestrator configurations. |
templates/types/multiagent/fastapi/app/core/message_queue.py |
Initialized a SimpleMessageQueue with configurations for host and port. |
templates/types/multiagent/fastapi/app/core/task_result.py |
Introduced TaskResultService for handling task results and message processing. |
templates/types/multiagent/fastapi/app/agents/dummy/agent.py |
Added a dummy agent for initial setup and testing purposes. |
templates/types/multiagent/fastapi/app/agents/query_engine/agent.py |
Added functions to initialize a query engine agent service. |
templates/components/settings/python/llmhub.py |
Introduced functionality for configuring and initializing an OpenAI-like model and embedding model. |
templates/components/settings/python/settings.py |
Updated to include init_llmhub for the "t-systems" case. |
In rows of code, the agents bloom,
Configurations set, they sweep the room.
From OpenAI to Groq they span,
FastAPI rides the dreamy plan.
A rabbit gleams at what's now set,
The multi-agents play, without a fret.
Hopping through the fields of change, 🌾
Embracing every new code range. 🐇✨
[!TIP]
AI model upgrade
## `gpt-4o` model for reviews and chat is now live OpenAI claims that this model is better at understanding and generating code than the previous models. Please join our [Discord Community](https://discord.com/invite/GsXnASn26c) to provide any feedback or to report any issues.
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?
Summary by CodeRabbit
New Features
Enhancements
load_from_env
function.Documentation