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@MervinPraison MervinPraison commented Apr 3, 2025

Summary by CodeRabbit

  • New Features
    • Introduced configurable streaming for chat interactions, providing incremental updates in responses.
    • Enhanced task execution by incorporating real-time streaming, ensuring smoother user experiences.
    • Improved operational reliability with an enforced minimum retry setting.
  • Version Update
    • Project version incremented from 0.0.72 to 0.0.73, reflecting the latest release.

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Walkthrough

The changes introduce a new stream parameter to control response streaming during chat completions and task executions. In the Agent class, the chat method now accepts a stream parameter (defaulting to True) and passes it along to _chat_completion. Similarly, the PraisonAIAgents class constructor now accepts the stream parameter and propagates it to task execution calls (e.g., executor_agent.achat). Additionally, type annotations for agents and tasks have been added, and a check ensures max_retries does not fall below a minimum value.

Changes

File(s) Change Summary
src/.../agent/agent.py Updated the Agent.chat method signature to include stream=True and modified calls to _chat_completion to pass the stream parameter.
src/.../agents/agents.py Added the stream=True parameter to the PraisonAIAgents constructor, passed it to the executor_agent.achat call in execute_task, included type annotations for agents and tasks, and enforced a minimum for max_retries.
src/.../pyproject.toml Incremented the project version from "0.0.72" to "0.0.73".

Sequence Diagram(s)

sequenceDiagram
    participant Caller
    participant Agent
    participant ChatCompletion
    Caller->>Agent: chat(prompt, stream=True)
    Agent->>ChatCompletion: _chat_completion(prompt, stream=True)
    ChatCompletion-->>Agent: response (streamed)
    Agent-->>Caller: streamed response
Loading
sequenceDiagram
    participant User
    participant PraisonAIAgents
    participant ExecutorAgent
    User->>PraisonAIAgents: execute_task(task)
    PraisonAIAgents->>ExecutorAgent: achat(task, stream=True)
    ExecutorAgent-->>PraisonAIAgents: task result (streamed)
    PraisonAIAgents-->>User: delivered streamed result
Loading

Poem

Hoppin' through lines of code with glee,
Streaming magic in every key,
My whiskers twitch at each new call,
Type hints and defaults— I love them all!
A carrot of change for every bug to flee.
🐰✨


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Reviewing files that changed from the base of the PR and between 1a93f19 and dca01cd.

⛔ Files ignored due to path filters (1)
  • src/praisonai-agents/uv.lock is excluded by !**/*.lock
📒 Files selected for processing (1)
  • src/praisonai-agents/pyproject.toml (1 hunks)

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Hello @MervinPraison, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

Summary of Changes

This pull request introduces a stream parameter to the chat method in the Agent class and propagates this parameter through various internal calls to the _chat_completion method. Additionally, it adds a stream parameter to the PraisonAIAgents class constructor and passes it to the chat method when calling agents. These changes enable streaming responses from the chat completion API, which can improve the user experience by providing more immediate feedback.

Highlights

  • Streaming Support: The primary focus of this PR is to add support for streaming responses from the chat completion API.
  • Parameter Propagation: The stream parameter is added to the chat method and passed down to the _chat_completion method in the Agent class.
  • Agents Class Update: The PraisonAIAgents class now accepts a stream parameter in its constructor, which is then used when calling agents.

Changelog

  • src/praisonai-agents/praisonaiagents/agent/agent.py
    • Added stream parameter to the chat method (line 773).
    • Propagated the stream parameter to the _chat_completion method in various calls (lines 915, 952, 1022).
  • src/praisonai-agents/praisonaiagents/agents/agents.py
    • Added stream parameter to the PraisonAIAgents class constructor (line 48).
    • Added stream attribute to the PraisonAIAgents class (line 80).
    • Passed the stream parameter to the chat method when calling agents (line 670).
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A stream of words, a flowing thought,
Real-time answers, quickly caught.
No longer wait,
The data's straight,
With streaming chats, a new era is brought.

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Code Review

The pull request introduces a stream parameter to several methods in the agent.py and agents.py files, allowing for streaming responses from the language model. This enhancement can improve the user experience by providing faster feedback. The changes seem well-structured, but there are a few areas that could benefit from further review and clarification.

Summary of Findings

  • Consistency of stream parameter: The stream parameter is added to some methods but not others (e.g., achat in agent.py). Ensuring consistency across all relevant methods would improve usability.
  • Type hints for agents and tasks: The type hints for agents and tasks in agents.py are good, but it would be beneficial to ensure that these types are consistently used throughout the codebase.
  • Tool calls and streaming: The code related to tool calls within the streaming context could be simplified, as indicated by the TODO comment in agent.py.

Merge Readiness

The pull request introduces a valuable feature by adding streaming support. However, to ensure a high-quality and maintainable codebase, it's recommended to address the identified inconsistencies and potential simplifications. While the changes are generally well-structured, addressing the medium severity issues would improve the overall quality. I am unable to approve this pull request, and users should have others review and approve this code before merging. At a minimum, the medium severity issues should be addressed before merging.

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Actionable comments posted: 0

🧹 Nitpick comments (1)
src/praisonai-agents/praisonaiagents/agent/agent.py (1)

1057-1108: Consider adding the stream parameter to achat method for consistency

The synchronous chat method now has a stream parameter, but the asynchronous achat method doesn't have a matching parameter. This could create an inconsistency in the API.

Consider adding the stream parameter to the achat method signature:

-async def achat(self, prompt: str, temperature=0.2, tools=None, output_json=None, output_pydantic=None, reasoning_steps=False):
+async def achat(self, prompt: str, temperature=0.2, tools=None, output_json=None, output_pydantic=None, reasoning_steps=False, stream=True):
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
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📥 Commits

Reviewing files that changed from the base of the PR and between 248fcbd and 1a93f19.

📒 Files selected for processing (2)
  • src/praisonai-agents/praisonaiagents/agent/agent.py (5 hunks)
  • src/praisonai-agents/praisonaiagents/agents/agents.py (3 hunks)
🧰 Additional context used
🧬 Code Definitions (2)
src/praisonai-agents/praisonaiagents/agent/agent.py (2)
src/praisonai-agents/praisonaiagents/agent/image_agent.py (1)
  • chat (180-191)
src/praisonai-agents/praisonaiagents/llm/llm.py (1)
  • response (1406-1506)
src/praisonai-agents/praisonaiagents/agents/agents.py (1)
src/praisonai-agents/praisonaiagents/agent/agent.py (1)
  • Agent (197-1388)
🔇 Additional comments (7)
src/praisonai-agents/praisonaiagents/agent/agent.py (3)

773-773: Good addition of the stream parameter to the chat method

The new parameter allows users to control whether responses are streamed or not, which increases flexibility.


915-915: LGTM! Stream parameter properly propagated to _chat_completion

The stream parameter is correctly passed to the _chat_completion method, maintaining consistency with the updated method signature.


952-952: LGTM! Stream parameter correctly passed in second _chat_completion call

Ensuring the stream parameter is passed consistently throughout the method.

src/praisonai-agents/praisonaiagents/agents/agents.py (4)

47-48: LGTM: Added new parameter for controlling streaming behavior

The addition of the stream parameter with a default value of True enables controlling whether responses are streamed during task execution.


71-72: Appropriate type annotations added

Type annotations for self.agents and self.tasks improve code readability and enable better static type checking. This is a good practice for maintaining code quality.


80-80: Properly storing stream parameter as instance variable

The stream parameter is correctly stored as an instance variable, making it accessible throughout the class methods.


669-671: Stream parameter correctly propagated to executor agent

The stream parameter is correctly passed to the executor_agent.chat method, ensuring that the streaming behavior is consistent throughout the task execution pipeline.

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3 participants