Develop #508
Develop #508
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- Introduced a new step in `unittest.yml` to check the availability of the OpenAI API key, providing feedback on its status and fallback usage. - Ensured minimal changes to existing code while enhancing the debugging process for API configurations.
- Replaced existing LLM model references with "openai/gpt-4o-mini" across various roles to standardise the configuration. - Ensured minimal changes to existing code while enhancing model uniformity.
- Incremented PraisonAI version from 2.2.8 to 2.2.9 in `pyproject.toml`, `uv.lock`, and all relevant Dockerfiles for consistency. - Enhanced model retrieval logic in `agents_generator.py` for improved fallback handling. - Ensured minimal changes to existing code while maintaining versioning accuracy and optimising model configuration.
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Caution Review failedThe pull request is closed. WalkthroughThis update modifies model selection logic in the agent generator for improved fallback handling, changes all LLM model references in a test YAML to "openai/gpt-4o-mini", adds a debug step for API key status in CI, and upgrades the Changes
Sequence Diagram(s)sequenceDiagram
participant Workflow as GitHub Actions Workflow
participant Env as Environment
participant Logger as Debug Step
Workflow->>Env: Set environment variables
Workflow->>Logger: Run "Debug API Key Status" step
Logger->>Env: Check OPENAI_API_KEY, OPENAI_API_BASE, OPENAI_MODEL_NAME
Logger->>Workflow: Output status and partial key info
Workflow->>Workflow: Proceed to run tests
sequenceDiagram
participant AgentGen as AgentsGenerator
participant Config as Config Dict
participant Env as Environment
AgentGen->>Config: Get "model" key
alt "model" is falsy or missing
AgentGen->>Env: Get MODEL_NAME env variable
alt MODEL_NAME is falsy or missing
AgentGen->>AgentGen: Use default "openai/gpt-4o"
else MODEL_NAME present
AgentGen->>AgentGen: Use MODEL_NAME
end
else "model" present and truthy
AgentGen->>AgentGen: Use "model"
end
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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
Hello team, Gemini here with a summary of this pull request titled "Develop". Based on the changes, it appears the primary goal of this PR is to update the praisonai dependency to version 2.2.9 across the project, including Dockerfiles, documentation, and dependency locks. Additionally, there are minor adjustments to how default LLM models are selected within the agents_generator.py file and updates to the test configuration to use openai/gpt-4o-mini as the default model for agents.
Highlights
- Dependency Update: The
praisonaidependency has been updated from version2.2.8to2.2.9inpyproject.toml,uv.lock, and all relevant Dockerfiles (Dockerfile,Dockerfile.chat,Dockerfile.dev,Dockerfile.ui). - Documentation Updates: Code snippets within the documentation files (
docs/api/praisonai/deploy.html,docs/developers/local-development.mdx,docs/ui/chat.mdx,docs/ui/code.mdx) and the deployment script (praisonai/deploy.py) have been updated to reflect the newpraisonai==2.2.9version. - LLM Model Selection Logic Refinement: The logic for selecting default LLM models (
llm,function_calling_llm,reflect_llm,manager_llm) inpraisonai/agents_generator.pyhas been slightly modified to useorchaining (config_value or env_var or default) instead of thedict.get(key, default)pattern. The hardcoded default model name has also been standardized to"openai/gpt-4o"where applicable. - Test Configuration Update: The
tests/agents-advanced.yamlfile has been updated to setopenai/gpt-4o-minias the defaultllmandfunction_calling_llmmodel for the agents defined within the test configuration.
Changelog
Click here to see the changelog
- docker/Dockerfile
- Updated praisonai version from 2.2.8 to 2.2.9.
- docker/Dockerfile.chat
- Updated praisonai version from 2.2.8 to 2.2.9.
- docker/Dockerfile.dev
- Updated praisonai version from 2.2.8 to 2.2.9.
- docker/Dockerfile.ui
- Updated praisonai version from 2.2.8 to 2.2.9.
- docs/api/praisonai/deploy.html
- Updated praisonai version in the Dockerfile code snippet within the documentation.
- docs/developers/local-development.mdx
- Updated praisonai version in the Dockerfile code snippet for local development.
- docs/ui/chat.mdx
- Updated praisonai version in the Dockerfile code snippet for chat UI local development.
- docs/ui/code.mdx
- Updated praisonai version in the Dockerfile code snippet for code UI local development.
- praisonai/agents_generator.py
- Modified LLM model selection logic to use 'or' chaining for fallback.
- Standardized default hardcoded model name to 'openai/gpt-4o'.
- praisonai/deploy.py
- Updated praisonai version in the generated Dockerfile content.
- pyproject.toml
- Updated project version to 2.2.9.
- tests/agents-advanced.yaml
- Changed default llm and function_calling_llm models to 'openai/gpt-4o-mini' in test configuration.
- uv.lock
- Updated locked version of praisonai to 2.2.9.
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A version bumps up,
From two point two point eight,
To two point two point nine,
Dockerfiles align,
New models await.
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Code Review
This pull request primarily focuses on updating the praisonai dependency to version 2.2.9 across various Dockerfiles, documentation, and project configuration files. Additionally, it refines and standardizes the logic for LLM model name retrieval and defaulting in praisonai/agents_generator.py, and updates the LLM models used in the tests/agents-advanced.yaml configuration.
The changes in agents_generator.py make the model fallback mechanism more robust and consistent, particularly in how empty strings from configurations are handled and by standardizing the ultimate fallback model name. The test configurations have also been updated to use openai/gpt-4o-mini, likely for consistency or efficiency in testing.
Overall, the changes appear to be well-executed and improve the codebase's consistency. The version bumps are applied thoroughly.
One minor suggestion for future PRs would be to use more descriptive titles than "Develop" to better convey the scope of changes at a glance. For example, "Bump praisonai to 2.2.9 and refine model default logic" would be more informative.
Summary of Findings
- Dependency Update: The
praisonaidependency has been consistently updated from version2.2.8to2.2.9across all relevant files including Dockerfiles, documentation,pyproject.toml, anduv.lock. - LLM Model Defaulting Logic: The logic for determining LLM model names in
praisonai/agents_generator.pyhas been standardized. It now consistently uses anor-chained fallback mechanism: configuration value, then environment variable (MODEL_NAME), then a hardcoded default ("openai/gpt-4o"). This change also ensures that empty string values for model names in configurations correctly trigger the fallback sequence, enhancing robustness. - Test Configuration Update: The LLM models used in
tests/agents-advanced.yamlhave been updated, standardizing on"openai/gpt-4o-mini"for several agent roles. This is a common practice for test environments. - PR Title and Description: The PR title "Develop" is generic, and the description is empty. More descriptive titles and brief descriptions can improve context for reviewers and future maintainers. This was not commented on due to review settings.
Merge Readiness
The code changes in this pull request are well-implemented and primarily involve version updates and beneficial refactoring of model default logic. The codebase appears to be in good shape with these changes. I am unable to approve the pull request myself, but based on this review, it seems ready for further review and merging by authorized maintainers.
Summary by CodeRabbit
Bug Fixes
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