Tavily Agent #33
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Tavily Agent #33
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Contributor
WalkthroughThis change introduces a new Agentuity-based Tavily Research Agent project. It adds all foundational project files, including configuration, documentation, agent implementation, SDK rules, and supporting scripts. The agent integrates web and internal CRM search using LangGraph and Tavily tools, with a ReAct workflow for multi-step, citation-backed research. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant AgentServer
participant TavilyTools
participant CRMVectorStore
participant LangGraphAgent
User->>AgentServer: Sends research query
AgentServer->>LangGraphAgent: Initiate ReAct workflow with user query
LangGraphAgent->>TavilyTools: Perform web search/extract/crawl as needed
LangGraphAgent->>CRMVectorStore: Perform internal CRM vector search
LangGraphAgent->>LangGraphAgent: Synthesize results, reason, cite sources
LangGraphAgent->>AgentServer: Return formatted answer with citations
AgentServer->>User: Respond with research answer
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Actionable comments posted: 0
🧹 Nitpick comments (12)
agents/tavily_agent/agentuity-agents/my_agent/__init__.py (1)
1-1: Consider adding minimal package metadataA one-liner comment is fine, but adding a short docstring (or re-exporting the public API) helps IDEs and static analysers.
-# This file is intentionally left blank. +"""my_agent package – Tavily hybrid research agent. +Exposes +------- +run : callable + Entry-point invoked by Agentuity. +""" + +# Re-export for convenient `from my_agent import run` +from .agent import run + +__all__: list[str] = ["run"]agents/tavily_agent/agentuity-agents/__init__.py (1)
1-1: Expose sub-packages for clearer importsYou can turn this stub into a small namespace convenience:
-# This file is intentionally left blank. +"""Agentuity agents bundled with Tavily-agent.""" + +from importlib import metadata as _md + +__version__: str = _md.version("tavily-agent")agents/tavily_agent/.gitignore (1)
120-123: Minor duplication / ordering nitThe
__pypackages__/pattern is listed here but is also implicitly covered by excluding__pycache__/-like artefacts. Not harmful, just redundant – feel free to keep or drop to slim the file.agents/tavily_agent/main.py (1)
1-6: Simple placeholder implementation looks correct.The basic structure follows Python conventions with proper main guard. However, this appears to be a minimal placeholder that doesn't integrate with the broader Agentuity agent framework.
Consider enhancing this entry point to be more useful, such as:
+import asyncio +from agentuity import AgentRequest, AgentResponse, AgentContext + def main(): - print("Hello from tavily-agent!") + print("Tavily Agent - Example Entry Point") + print("Use 'python server.py' to start the agent server") + print("Use 'agentuity dev' for local development")agents/tavily_agent/.editorconfig (1)
1-12: EditorConfig settings are well-structured with one consideration.The configuration follows standard EditorConfig patterns. However, consider that Python typically uses 4-space indentation according to PEP 8, while this configuration uses 2 spaces.
If this project primarily contains Python code, consider aligning with PEP 8 indentation standards:
-indent_size = 2 +indent_size = 4Alternatively, you could specify different rules for Python files specifically:
[*] indent_style = space indent_size = 2 end_of_line = lf charset = utf-8 trim_trailing_whitespace = false insert_final_newline = true + +[*.py] +indent_size = 4agents/tavily_agent/agentuity-agents/my_agent/agent.py (4)
11-11: Fix formatting: Add required blank lines before function definition.Static analysis indicates missing blank lines before the function definition.
+ + async def run(request: AgentRequest, response: AgentResponse, context: AgentContext):
21-21: Remove excessive blank lines for consistent formatting.Static analysis flags too many blank lines in several locations.
- try: - try:Apply similar fixes to lines 50 and 56 to maintain consistent spacing.
Also applies to: 50-50, 56-56
34-38: Fix indentation for continuation lines.The continuation lines in the JSON field extraction are under-indented.
user_input = (json_data.get('message') or - json_data.get('query') or - json_data.get('input') or - json_data.get('text') or - json_data.get('question')) + json_data.get('query') or + json_data.get('input') or + json_data.get('text') or + json_data.get('question'))
11-212: Consider refactoring to reduce function complexity.The function has 21 local variables, exceeding the recommended limit of 15. Consider breaking this into smaller, focused functions for better maintainability.
Consider extracting these logical segments into separate functions:
- Input processing and validation
- Tool initialization (model, vector store, Tavily tools)
- Agent configuration and prompt setup
- Response processing and streaming
This would improve readability and make the code easier to test and maintain.
agents/tavily_agent/README.md (3)
8-8: Add alt text for accessibility.The deployment button image is missing alt text, which is important for accessibility.
- <img src="https://app.agentuity.com/img/deploy.svg" /> + <img src="https://app.agentuity.com/img/deploy.svg" alt="Deploy to Agentuity" />
108-108: Add language specifiers to code blocks for better rendering.Several code blocks are missing language specifiers, which improves syntax highlighting and readability.
For example, at line 108:
- ``` + ```text What's Apple's latest AI strategy? - ``` + ```Apply similar fixes to the architecture diagram (line 145), project structure (line 161), error message (line 245), and log output (line 264) blocks.
Also applies to: 145-145, 161-161, 245-245, 264-264
284-284: Minor grammar correction.The bullet point could be clearer with "to Add" instead of "Add".
-- **Add more data sources** to the vector store +- **Add more data sources** to the vector storeActually, the current phrasing is acceptable in bullet point format. This can be safely ignored.
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⛔ Files ignored due to path filters (1)
agents/tavily_agent/uv.lockis excluded by!**/*.lock
📒 Files selected for processing (14)
agents/tavily_agent/.cursor/rules/agent.mdc(1 hunks)agents/tavily_agent/.cursor/rules/agentuity.mdc(1 hunks)agents/tavily_agent/.cursor/rules/sdk.mdc(1 hunks)agents/tavily_agent/.editorconfig(1 hunks)agents/tavily_agent/.gitignore(1 hunks)agents/tavily_agent/.python-version(1 hunks)agents/tavily_agent/README.md(1 hunks)agents/tavily_agent/agentuity-agents/__init__.py(1 hunks)agents/tavily_agent/agentuity-agents/my_agent/__init__.py(1 hunks)agents/tavily_agent/agentuity-agents/my_agent/agent.py(1 hunks)agents/tavily_agent/agentuity.yaml(1 hunks)agents/tavily_agent/main.py(1 hunks)agents/tavily_agent/pyproject.toml(1 hunks)agents/tavily_agent/server.py(1 hunks)
🧰 Additional context used
🧠 Learnings (4)
agents/tavily_agent/.cursor/rules/agentuity.mdc (11)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:33.550Z
Learning: The agentuity.yaml file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: agents/Startup_News_Scraper/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:08:03.963Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:16.519Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: agents/agent-riza/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T14:58:41.453Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:52.368Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: agents/deep-research-js/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:28:22.653Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/agno/from_agno/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:14.406Z
Learning: In Agentuity AI projects, the 'agentuity.yaml' file serves as the configuration file for the AI Agent and should not be modified or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:30.329Z
Learning: In projects using Agentuity, the 'agentuity.yaml' file is reserved for configuration and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai-typescript/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:02.063Z
Learning: The Agentuity AI Configuration file (agentuity.yaml) is used to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:15:46.735Z
Learning: The Agentuity configuration file (agentuity.yaml) is used to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:14:18.092Z
Learning: The file 'agentuity.yaml' is used to configure the Agentuity AI Agent project and should not be edited or suggested for edits.
agents/tavily_agent/agentuity.yaml (10)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:33.550Z
Learning: The agentuity.yaml file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: agents/agent-riza/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T14:58:41.453Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: agents/deep-research-js/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:28:22.653Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:52.368Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: agents/Startup_News_Scraper/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:08:03.963Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:16.519Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:30.329Z
Learning: In projects using Agentuity, the 'agentuity.yaml' file is reserved for configuration and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:14:18.092Z
Learning: The file 'agentuity.yaml' is used to configure the Agentuity AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/agno/from_agno/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:14.406Z
Learning: In Agentuity AI projects, the 'agentuity.yaml' file serves as the configuration file for the AI Agent and should not be modified or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:15:46.735Z
Learning: The Agentuity configuration file (agentuity.yaml) is used to configure the AI Agent project and should not be edited or suggested for edits.
agents/tavily_agent/.cursor/rules/agent.mdc (10)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:13.875Z
Learning: In Agentuity AI Agent Python files (agents/**/*.py), the main entry point should be an async function named `run` that accepts parameters of types AgentRequest, AgentResponse, and AgentContext.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:13:46.563Z
Learning: When writing Agentuity AI Agents in Python (in files matching agents/**/*.py), always define an async function named `run` that serves as the entry point for the agent.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:14:15.333Z
Learning: When writing Python AI Agent files for Agentuity in the 'agents/' directory, always define an async function named 'run' as the entry point.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/llamaindex/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:14:53.981Z
Learning: When writing Python AI Agent files for the Agentuity platform (in files matching agents/**/*.py), always define an async function named `run` as the entry point.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:13.875Z
Learning: When writing Agentuity AI Agents in Python, always use type hints and adhere to Python best practices for code quality and maintainability.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:15:43.688Z
Learning: When writing Agentuity AI Agents in Python, always define an async function named `run` that serves as the entry point for the agent.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/grokLiveSearch/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:15:27.163Z
Learning: In Python agent files located under agents/**/*.py, always define an async function named `run` as the entry point for the agent.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:30.899Z
Learning: In Python agent files under 'agents/**/*.py', always define an async function named 'run' as the entry point for the agent.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:13:28.272Z
Learning: In Python agent files under 'agents/**/*.py', always define an async function named 'run' as the entry point for the agent.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:30.899Z
Learning: When writing agent code in 'agents/**/*.py', prefer importing types such as AgentRequest, AgentResponse, and AgentContext from the 'agentuity' package to ensure compatibility and consistency.
agents/tavily_agent/agentuity-agents/my_agent/agent.py (10)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/llamaindex/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:05.904Z
Learning: In the Agentuity Python SDK, the main agent handler function should be defined as an async function named 'run' that accepts 'request' (AgentRequest), 'response' (AgentResponse), and 'context' (AgentContext) as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:13.875Z
Learning: In Agentuity AI Agent Python files (agents/**/*.py), the main entry point should be an async function named `run` that accepts parameters of types AgentRequest, AgentResponse, and AgentContext.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:16:25.368Z
Learning: In the Agentuity Python SDK, the main handler function for an agent should be defined as an async function named 'run' with the signature: async def run(request: AgentRequest, response: AgentResponse, context: AgentContext) -> Any.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:14:03.437Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as arguments.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/grokLiveSearch/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:39.390Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:13:37.977Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:14:31.499Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:16:43.214Z
Learning: In the Agentuity Python SDK, the main handler for an agent is an async function named 'run' that takes 'request', 'response', and 'context' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/agno/from_agno/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:13:21.187Z
Learning: In the Agentuity Python SDK, the main entry point for an agent is an async function named 'run' that takes three arguments: request (AgentRequest), response (AgentResponse), and context (AgentContext).
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:53.658Z
Learning: In the Agentuity Python SDK, the main entry point for an agent is an async function named 'run' that takes three arguments: request (AgentRequest), response (AgentResponse), and context (AgentContext).
🪛 Flake8 (7.2.0)
agents/tavily_agent/agentuity-agents/my_agent/agent.py
[error] 11-11: expected 2 blank lines, found 1
(E302)
[error] 21-21: too many blank lines (2)
(E303)
[error] 35-35: continuation line under-indented for visual indent
(E128)
[error] 36-36: continuation line under-indented for visual indent
(E128)
[error] 37-37: continuation line under-indented for visual indent
(E128)
[error] 38-38: continuation line under-indented for visual indent
(E128)
[error] 50-50: too many blank lines (2)
(E303)
[error] 56-56: too many blank lines (2)
(E303)
🪛 Pylint (3.3.7)
agents/tavily_agent/agentuity-agents/my_agent/agent.py
[refactor] 11-11: Too many local variables (21/15)
(R0914)
🪛 LanguageTool
agents/tavily_agent/README.md
[misspelling] ~19-~19: This word is normally spelled as one.
Context: ...gGraph ReAct workflow** for intelligent multi-step research - 📝 **Comprehensive responses...
(EN_COMPOUNDS_MULTI_STEP)
[grammar] ~284-~284: Did you mean “to Add”?
Context: ... match your specific research needs - Add more data sources to the vector store...
(MISSING_TO_BEFORE_A_VERB)
🪛 markdownlint-cli2 (0.17.2)
agents/tavily_agent/README.md
8-8: Images should have alternate text (alt text)
null
(MD045, no-alt-text)
108-108: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
145-145: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
161-161: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
245-245: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
264-264: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
299-299: Emphasis used instead of a heading
null
(MD036, no-emphasis-as-heading)
🔇 Additional comments (10)
agents/tavily_agent/pyproject.toml (1)
1-15: ```shell
#!/bin/bashLocate the project file
file=$(find . -type f -name pyproject.toml | grep "agents/tavily_agent/pyproject.toml")
echo "Inspecting $file"
echo "----- First 15 lines -----"
sed -n '1,15p' "$file"
echo
echo "----- Metadata Fields -----"
grep -nE "authors|license|description" "$file" || echo "Missing metadata fields"
echo
echo "----- Optional Dependencies -----"
grep -R "optional-dependencies" -n "$file" || echo "Missing optional-dependencies section"</details> <details> <summary>agents/tavily_agent/.gitignore (1)</summary> `130-139`: **Ensure committed `.env` secrets are protected** `.env*` files are ignored, which is good. Confirm that no `.env.example` with credentials is committed elsewhere. If you need a template, use `.env.sample` and keep real secrets out. </details> <details> <summary>agents/tavily_agent/.python-version (1)</summary> `1-1`: **Consistent Python version – looks good** Matches the `>=3.10,<3.13` constraint in pyproject. 👍 </details> <details> <summary>agents/tavily_agent/.cursor/rules/agentuity.mdc (1)</summary> `1-10`: **Correctly implements Agentuity configuration file protection.** This cursor rules file properly aligns with Agentuity conventions by protecting the agentuity.yaml configuration file from unintended edits. The implementation follows the established pattern from retrieved learnings. </details> <details> <summary>agents/tavily_agent/.cursor/rules/agent.mdc (1)</summary> `1-35`: **Excellent comprehensive agent development guidelines.** This documentation perfectly aligns with Agentuity conventions from retrieved learnings. It correctly emphasizes the async `run` function requirement, proper imports from the agentuity package, and includes all essential components (AgentRequest, AgentResponse, AgentContext). The guidelines are thorough and provide: - Clear entry point requirements (async `run` function) - Proper import patterns - Type hints and Python best practices - Logging guidance using context.logger - Example implementation - Documentation of core classes </details> <details> <summary>agents/tavily_agent/server.py (1)</summary> `1-36`: **Well-implemented server entry point with excellent error handling.** This server startup script demonstrates several best practices: - Comprehensive environment validation with clear, actionable error messages - Helpful guidance for different development scenarios (uv, local dev, etc.) - Proper logging configuration - Good user experience with colored output for warnings/errors - Clean integration with Agentuity's autostart mechanism The environment checks are particularly well-done: - Handles both `AGENTUITY_API_KEY` and `AGENTUITY_SDK_KEY` for flexibility - Provides specific guidance for uv users about .env file usage - Warns appropriately when running outside Agentuity environment - Uses appropriate exit codes for fatal vs. warning conditions </details> <details> <summary>agents/tavily_agent/agentuity.yaml (1)</summary> `1-64`: **Configuration file correctly structured for Agentuity platform.** Based on learnings from previous reviews, the `agentuity.yaml` file is reserved for configuring the AI Agent project and should not be edited during code review. The configuration appears properly structured with appropriate project metadata, development settings, deployment configuration, and agent definitions. </details> <details> <summary>agents/tavily_agent/.cursor/rules/sdk.mdc (1)</summary> `1-98`: **Excellent SDK documentation with comprehensive coverage.** This documentation file provides thorough coverage of the Agentuity Python SDK interfaces, correctly documenting the async `run` function signature that matches the framework requirements. The structure is clear, examples are helpful, and best practices are well-articulated. </details> <details> <summary>agents/tavily_agent/agentuity-agents/my_agent/agent.py (1)</summary> `16-212`: **Excellent agent implementation with proper error handling.** The core agent logic is well-implemented with: - Correct async function signature per SDK requirements - Comprehensive error handling and logging - Proper use of Agentuity SDK interfaces - Well-structured system prompt for ReAct workflow - Good integration of Tavily tools and vector search The hybrid research approach combining web search and internal CRM data is well-architected. </details> <details> <summary>agents/tavily_agent/README.md (1)</summary> `1-300`: **Excellent comprehensive documentation.** This README provides outstanding documentation for the Tavily Research Agent with: - Clear project overview and value proposition - Step-by-step setup instructions - Multiple usage examples and API endpoints - Detailed architecture explanation - Comprehensive troubleshooting guide - Good project structure overview - Helpful customization guidance The documentation will greatly help users understand and deploy the agent successfully. </details> </blockquote></details> </details> <!-- This is an auto-generated comment by CodeRabbit for review status -->
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Actionable comments posted: 2
🧹 Nitpick comments (6)
agents/tavily_agent/README.md (6)
7-9: Add missing alt-text for the deploy button imageThe
<img>in the deploy link has noaltattribute, breaking WCAG AA accessibility and triggeringMD045.- <a target="_blank" href="https://app.agentuity.com/deploy" alt="Agentuity"> - <img src="https://app.agentuity.com/img/deploy.svg" /> + <a target="_blank" href="https://app.agentuity.com/deploy" alt="Deploy with Agentuity"> + <img src="https://app.agentuity.com/img/deploy.svg" alt="Deploy with Agentuity" />
85-90: Specify a language for fenced code block (MD040)Add
bashto the opening fence so syntax highlighting and linters work.-``` +```bash
124-136: Add language identifier to the ASCII-art architecture blockAlthough this is plain text, specifying
textsilencesMD040and preserves formatting in some renderers.-``` +```text ... -``` +```
140-150: Add language identifier to project-structure blockSame
MD040issue as above.-``` +```text ... -``` +```
192-199: Add language identifier to log sample block-``` +```text ... -``` +```
17-21: Spelling: use “multistep” instead of “multi-step”LanguageTool flags “multi-step” as a compound normally written as one word. Consider updating for consistency with common tech docs.
-**LangGraph ReAct workflow** for intelligent multi-step research +**LangGraph ReAct workflow** for intelligent multistep research
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Review profile: CHILL
Plan: Pro
📒 Files selected for processing (1)
agents/tavily_agent/README.md(1 hunks)
🧰 Additional context used
🪛 LanguageTool
agents/tavily_agent/README.md
[misspelling] ~19-~19: This word is normally spelled as one.
Context: ...gGraph ReAct workflow** for intelligent multi-step research - Comprehensive responses ...
(EN_COMPOUNDS_MULTI_STEP)
[grammar] ~212-~212: Did you mean “to Add”?
Context: ... match your specific research needs - Add more data sources to the vector store...
(MISSING_TO_BEFORE_A_VERB)
🪛 markdownlint-cli2 (0.17.2)
agents/tavily_agent/README.md
8-8: Images should have alternate text (alt text)
null
(MD045, no-alt-text)
87-87: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
124-124: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
140-140: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
192-192: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
227-227: Emphasis used instead of a heading
null
(MD036, no-emphasis-as-heading)
Comment on lines
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| ### Step 6: Run in Development Mode | ||
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| Start the agent in development mode: | ||
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| ```bash | ||
| agentuity dev | ||
| ``` |
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🛠️ Refactor suggestion
Fix broken step numbering – “Step 6” should be “Step 5”
Step 5 is missing, so numbering jumps from 4 → 6. This is confusing to readers and to automated doc parsers.
-### Step 6: Run in Development Mode
+### Step 5: Run in Development ModeAlso adjust any subsequent references if you later add an explicit step 6.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| ### Step 6: Run in Development Mode | |
| Start the agent in development mode: | |
| ```bash | |
| agentuity dev | |
| ``` | |
| ### Step 5: Run in Development Mode | |
| Start the agent in development mode: | |
🤖 Prompt for AI Agents
In agents/tavily_agent/README.md around lines 68 to 74, the step numbering jumps
from Step 4 to Step 6, skipping Step 5. Rename "Step 6" to "Step 5" to fix the
sequence and ensure clarity. Also, review and update any later step numbers or
references accordingly to maintain consistent numbering throughout the document.
Comment on lines
+34
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| ### Step 2: Get API Keys | ||
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| #### 1. **Tavily API Key** | ||
| - Go to [Tavily](https://tavily.com) | ||
| - Sign up for an account | ||
| - Get your API key from the dashboard | ||
|
|
||
| ### Step 3: Authentication |
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🛠️ Refactor suggestion
Include the OpenAI API key in the “Get API Keys” section
The agent clearly relies on OpenAI (see later code snippets) but only the Tavily key is documented. New users will hit runtime errors when OPENAI_API_KEY is absent.
-### Step 2: Get API Keys
-
-#### 1. **Tavily API Key**
+### Step 2: Get API Keys
+
+#### 1. **Tavily API Key**
...
-Get your API key from the dashboard
+Get your API key from the dashboard
+
+#### 2. **OpenAI API Key**
+- Sign in to your [OpenAI dashboard](https://platform.openai.com/)
+- Create an API key and copy it📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| ### Step 2: Get API Keys | |
| #### 1. **Tavily API Key** | |
| - Go to [Tavily](https://tavily.com) | |
| - Sign up for an account | |
| - Get your API key from the dashboard | |
| ### Step 3: Authentication | |
| ### Step 2: Get API Keys | |
| #### 1. **Tavily API Key** | |
| - Go to [Tavily](https://tavily.com) | |
| - Sign up for an account | |
| - Get your API key from the dashboard | |
| #### 2. **OpenAI API Key** | |
| - Sign in to your [OpenAI dashboard](https://platform.openai.com/) | |
| - Create an API key and copy it | |
| ### Step 3: Authentication |
🤖 Prompt for AI Agents
In agents/tavily_agent/README.md around lines 34 to 41, the "Get API Keys"
section only mentions the Tavily API key but omits the required OpenAI API key.
Add instructions for users to obtain and include their OpenAI API key,
specifying where to get it and how to set the environment variable
OPENAI_API_KEY, to prevent runtime errors due to missing keys.
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Actionable comments posted: 2
♻️ Duplicate comments (2)
agents/tavily_agent/README.md (2)
68-68: Fix broken step numbering – "Step 6" should be "Step 5"Step 5 is missing, so numbering jumps from 4 → 6. This is confusing to readers and to automated doc parsers.
-### Step 6: Run in Development Mode +### Step 5: Run in Development Mode
34-40: Include the OpenAI API key in the "Get API Keys" sectionThe agent clearly relies on OpenAI (see agent.py implementation) but only the Tavily key is documented. New users will hit runtime errors when
OPENAI_API_KEYis absent.### Step 2: Get API Keys #### 1. **Tavily API Key** - Go to [Tavily](https://tavily.com) - Sign up for an account - Get your API key from the dashboard + +#### 2. **OpenAI API Key** +- Sign in to your [OpenAI dashboard](https://platform.openai.com/) +- Create an API key and copy it +- Set the environment variable: `OPENAI_API_KEY=your_key_here`
🧹 Nitpick comments (6)
agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py (4)
1-10: Fix PEP 8 formatting issues.The code has several formatting violations that should be addressed for better readability and compliance with Python standards.
Apply these formatting fixes:
+ + async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): """ Agentuity agent handler for LangGraph hybrid research system. Combines Tavily web search tools with internal vector search capabilities. """ try: - user_input = None - - try:
34-38: Fix indentation alignment for JSON field extraction.The continuation lines are under-indented and don't align properly with the opening delimiter.
# Try different JSON field names - user_input = (json_data.get('message') or - json_data.get('query') or - json_data.get('input') or - json_data.get('text') or - json_data.get('question')) + user_input = (json_data.get('message') or + json_data.get('query') or + json_data.get('input') or + json_data.get('text') or + json_data.get('question'))
56-61: Make vector store directory configurable.The hardcoded path
"supplemental/db"may not exist in all environments and should be configurable or validated.embeddings = OpenAIEmbeddings() + vector_db_path = os.getenv("VECTOR_DB_PATH", "supplemental/db") vector_store = Chroma( collection_name="crm", embedding_function=embeddings, - persist_directory="supplemental/db", + persist_directory=vector_db_path, )
11-212: Consider refactoring to reduce function complexity.The function has 21 local variables (exceeds the recommended limit of 15) and handles multiple responsibilities. Consider extracting helper functions for better maintainability.
Consider extracting these helper functions:
_extract_user_input(request, context)for input processing (lines 18-46)_initialize_tools(context)for tool initialization (lines 50-83)_create_research_agent(model, tools)for agent creation (lines 88-172)_execute_research(agent, user_input, context)for execution logic (lines 174-204)agents/tavily_agent/README.md (2)
8-8: Add alt text for the deploy button image.The image lacks alt text, which affects accessibility for screen readers.
- <img src="https://app.agentuity.com/img/deploy.svg" /> + <img src="https://app.agentuity.com/img/deploy.svg" alt="Deploy to Agentuity" />
87-89: Add language specifications to code blocks.Several fenced code blocks are missing language specifications, which affects syntax highlighting and readability.
- ``` + ```text What's Apple's latest AI strategy? - ``` + ```-``` +```text ┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ User Question │───▶│ Research Agent │───▶│ Final Response │ -``` +```-``` +```text tavily_agent/ ├── agentuity-agents/ # Agent implementations -``` +```-``` +```text [INFO] Received text input: What's Apple's latest AI strategy? [INFO] Processing research request: What's Apple's latest AI strategy? -``` +```Also applies to: 124-136, 140-150, 192-199
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agents/tavily_agent/README.md(1 hunks)agents/tavily_agent/agentuity-agents/tavilyAgent/__init__.py(1 hunks)agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py(1 hunks)agents/tavily_agent/agentuity.yaml(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- agents/tavily_agent/agentuity-agents/tavilyAgent/init.py
🚧 Files skipped from review as they are similar to previous changes (1)
- agents/tavily_agent/agentuity.yaml
🧰 Additional context used
🧠 Learnings (3)
📓 Common learnings
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/mastra/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:21.314Z
Learning: For best practices in Agentuity SDK projects, use TypeScript for type safety, import types from @agentuity/sdk, use structured error handling with try/catch, leverage the provided logger, use storage APIs for data persistence, and consider agent communication for complex workflows.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langgraph/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:14:46.802Z
Learning: The Agentuity JavaScript SDK provides core interfaces such as AgentHandler, AgentRequest, AgentResponse, and AgentContext for building AI agents in TypeScript or JavaScript.
Learnt from: CR
PR: agentuity/examples#0
File: agents/agent-riza/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T15:23:48.673Z
Learning: The Agentuity JavaScript SDK provides core interfaces such as AgentHandler, AgentRequest, AgentResponse, and AgentContext for building AI agents in TypeScript or JavaScript.
Learnt from: CR
PR: agentuity/examples#0
File: agents/Startup_News_Scraper/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T15:18:13.541Z
Learning: The Agentuity JavaScript SDK provides core interfaces such as AgentHandler, AgentRequest, AgentResponse, and AgentContext for building AI agents in JavaScript and TypeScript.
Learnt from: CR
PR: agentuity/examples#0
File: agentuity/sdk-js/streaming/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T15:29:07.912Z
Learning: Agent files should import types such as AgentRequest, AgentResponse, and AgentContext from the `@agentuity/sdk` package to ensure type safety and proper integration with the Agentuity framework.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:14:15.333Z
Learning: Agentuity Agent files should import types such as AgentRequest, AgentResponse, and AgentContext from the 'agentuity' package to ensure compatibility and access to helper methods.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:15:43.688Z
Learning: Agent files should import types such as AgentRequest, AgentResponse, and AgentContext from the `agentuity` package to ensure compatibility and leverage provided helper methods.
Learnt from: CR
PR: agentuity/examples#0
File: agents/Startup_News_Scraper/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:08:03.963Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:16.519Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: patterns/llmAsJury/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:17:10.338Z
Learning: In Agent files for Agentuity, prefer importing types such as AgentRequest, AgentResponse, and AgentContext from the `@agentuity/sdk` package to ensure type consistency and compatibility.
agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py (10)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/llamaindex/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:05.904Z
Learning: In the Agentuity Python SDK, the main agent handler function should be defined as an async function named 'run' that accepts 'request' (AgentRequest), 'response' (AgentResponse), and 'context' (AgentContext) as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:14:03.437Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as arguments.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/grokLiveSearch/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:39.390Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:14:31.499Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:13:37.977Z
Learning: In the Agentuity Python SDK, the main agent handler should be an async function named 'run' that accepts 'request: AgentRequest', 'response: AgentResponse', and 'context: AgentContext' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:16:43.214Z
Learning: In the Agentuity Python SDK, the main handler for an agent is an async function named 'run' that takes 'request', 'response', and 'context' as parameters.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:13.875Z
Learning: In Agentuity AI Agent Python files (agents/**/*.py), the main entry point should be an async function named `run` that accepts parameters of types AgentRequest, AgentResponse, and AgentContext.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:16:25.368Z
Learning: In the Agentuity Python SDK, the main handler function for an agent should be defined as an async function named 'run' with the signature: async def run(request: AgentRequest, response: AgentResponse, context: AgentContext) -> Any.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/agno/from_agno/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:13:21.187Z
Learning: In the Agentuity Python SDK, the main entry point for an agent is an async function named 'run' that takes three arguments: request (AgentRequest), response (AgentResponse), and context (AgentContext).
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/mem0/mem0demo/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:53.658Z
Learning: In the Agentuity Python SDK, the main entry point for an agent is an async function named 'run' that takes three arguments: request (AgentRequest), response (AgentResponse), and context (AgentContext).
agents/tavily_agent/README.md (19)
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/agno/from_agno/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:14.406Z
Learning: In Agentuity AI projects, the 'agentuity.yaml' file serves as the configuration file for the AI Agent and should not be modified or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:16.519Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: agents/Startup_News_Scraper/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:08:03.963Z
Learning: The Agentuity configuration file (agentuity.yaml) is reserved for configuring the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:16:33.550Z
Learning: The agentuity.yaml file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langchain/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:14:18.092Z
Learning: The file 'agentuity.yaml' is used to configure the Agentuity AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:30.329Z
Learning: In projects using Agentuity, the 'agentuity.yaml' file is reserved for configuration and should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: agents/agent-riza/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T14:58:41.453Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/socialagent/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:13:52.368Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: agents/deep-research-js/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T15:28:22.653Z
Learning: The 'agentuity.yaml' file is a configuration file used by Agentuity to configure the AI Agent project and should not be edited or suggested for edits.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/grokLiveSearch/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:15:30.804Z
Learning: In the context of Agentuity AI projects, the 'agentuity.yaml' file is a configuration file that should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/openai/from-oai/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:13.875Z
Learning: When writing Agentuity AI Agents in Python, always use type hints and adhere to Python best practices for code quality and maintainability.
Learnt from: CR
PR: agentuity/examples#0
File: patterns/llmAsJury/.cursor/rules/agentuity.mdc:0-0
Timestamp: 2025-06-23T17:17:12.992Z
Learning: In the context of Agentuity AI projects, the agentuity.yaml file is a configuration file that should not be edited or suggested for edits during code review.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/crewai/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:13:28.272Z
Learning: Follow Python best practices and use type hints throughout agent code to improve readability, maintainability, and type safety.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/pydantic/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:16:30.899Z
Learning: When writing agent code in 'agents/**/*.py', prefer importing types such as AgentRequest, AgentResponse, and AgentContext from the 'agentuity' package to ensure compatibility and consistency.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/mastra/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:15:12.561Z
Learning: In Agentuity AI Agent files (`**/src/agents/**/index.ts`), import types such as `AgentRequest`, `AgentResponse`, and `AgentContext` from the `@agentuity/sdk` package to ensure type safety and consistency.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/langgraph/basic/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:14:39.393Z
Learning: In Agentuity AI Agent files (`**/src/agents/**/index.ts`), import types such as `AgentRequest`, `AgentResponse`, and `AgentContext` from the `@agentuity/sdk` package to ensure type safety and consistency.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/miscellaneous/grokLiveSearch/.cursor/rules/agent.mdc:0-0
Timestamp: 2025-06-23T17:15:27.163Z
Learning: When developing Agentuity AI Agents in Python, prefer importing types such as AgentRequest, AgentResponse, and AgentContext from the `agentuity` package to ensure compatibility and leverage built-in helper methods.
Learnt from: CR
PR: agentuity/examples#0
File: frameworks/mastra/basic/.cursor/rules/sdk.mdc:0-0
Timestamp: 2025-06-23T17:15:21.314Z
Learning: For best practices in Agentuity SDK projects, use TypeScript for type safety, import types from @agentuity/sdk, use structured error handling with try/catch, leverage the provided logger, use storage APIs for data persistence, and consider agent communication for complex workflows.
Learnt from: jhaynie
PR: agentuity/examples#12
File: frameworks/agno/from-agno/pyproject.toml:1-9
Timestamp: 2025-05-28T21:02:10.403Z
Learning: The `agentuity` package is a Python SDK developed by Agentuity Inc., available on PyPI at https://pypi.org/project/agentuity/ with the GitHub repository at https://github.com/agentuity/sdk-py. This is a different package from `agentUniverse` and should not be confused with other agent-related packages.
🪛 Flake8 (7.2.0)
agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py
[error] 11-11: expected 2 blank lines, found 1
(E302)
[error] 21-21: too many blank lines (2)
(E303)
[error] 35-35: continuation line under-indented for visual indent
(E128)
[error] 36-36: continuation line under-indented for visual indent
(E128)
[error] 37-37: continuation line under-indented for visual indent
(E128)
[error] 38-38: continuation line under-indented for visual indent
(E128)
[error] 50-50: too many blank lines (2)
(E303)
[error] 56-56: too many blank lines (2)
(E303)
🪛 Pylint (3.3.7)
agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py
[refactor] 11-11: Too many local variables (21/15)
(R0914)
🪛 LanguageTool
agents/tavily_agent/README.md
[misspelling] ~19-~19: This word is normally spelled as one.
Context: ...gGraph ReAct workflow** for intelligent multi-step research - Comprehensive responses ...
(EN_COMPOUNDS_MULTI_STEP)
[grammar] ~212-~212: Did you mean “to Add”?
Context: ... match your specific research needs - Add more data sources to the vector store...
(MISSING_TO_BEFORE_A_VERB)
🪛 markdownlint-cli2 (0.17.2)
agents/tavily_agent/README.md
8-8: Images should have alternate text (alt text)
null
(MD045, no-alt-text)
87-87: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
124-124: Fenced code blocks should have a language specified
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140-140: Fenced code blocks should have a language specified
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192-192: Fenced code blocks should have a language specified
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227-227: Emphasis used instead of a heading
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Comment on lines
+43
to
+45
| if not user_input: | ||
| user_input = "Check for the Google Deal size and find the latest earnings report for them to validate if they are in spending spree" | ||
| context.logger.info("No input provided, using default query") |
Contributor
There was a problem hiding this comment.
🛠️ Refactor suggestion
Replace hardcoded default query with a generic example.
The current default query is too specific to Google and may not be relevant for all users or use cases.
# If still no input, use default
if not user_input:
- user_input = "Check for the Google Deal size and find the latest earnings report for them to validate if they are in spending spree"
+ user_input = "What are the latest technology trends in artificial intelligence?"
context.logger.info("No input provided, using default query")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| if not user_input: | |
| user_input = "Check for the Google Deal size and find the latest earnings report for them to validate if they are in spending spree" | |
| context.logger.info("No input provided, using default query") | |
| # If still no input, use default | |
| if not user_input: | |
| user_input = "What are the latest technology trends in artificial intelligence?" | |
| context.logger.info("No input provided, using default query") |
🤖 Prompt for AI Agents
In agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py around lines 43 to
45, replace the hardcoded default query string that specifically mentions Google
with a more generic example query. This will make the default input applicable
to a wider range of users and use cases. Update the string assigned to
user_input to a neutral, general query that does not reference any specific
company or entity.
Comment on lines
+74
to
+83
| search = TavilySearch( | ||
| max_results=10, | ||
| topic="general", | ||
| api_key=os.getenv("TAVILY_API_KEY") | ||
| ) | ||
| extract = TavilyExtract( | ||
| extract_depth="advanced", | ||
| api_key=os.getenv("TAVILY_API_KEY") | ||
| ) | ||
| crawl = TavilyCrawl(api_key=os.getenv("TAVILY_API_KEY")) |
Contributor
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add validation for required API keys.
The code uses environment variables for API keys but doesn't validate they exist, which could lead to runtime errors when the tools are used.
# Initialize Tavily tools
+ tavily_api_key = os.getenv("TAVILY_API_KEY")
+ if not tavily_api_key:
+ raise ValueError("TAVILY_API_KEY environment variable is required")
+
search = TavilySearch(
max_results=10,
topic="general",
- api_key=os.getenv("TAVILY_API_KEY")
+ api_key=tavily_api_key
)
extract = TavilyExtract(
extract_depth="advanced",
- api_key=os.getenv("TAVILY_API_KEY")
+ api_key=tavily_api_key
)
- crawl = TavilyCrawl(api_key=os.getenv("TAVILY_API_KEY"))
+ crawl = TavilyCrawl(api_key=tavily_api_key)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| search = TavilySearch( | |
| max_results=10, | |
| topic="general", | |
| api_key=os.getenv("TAVILY_API_KEY") | |
| ) | |
| extract = TavilyExtract( | |
| extract_depth="advanced", | |
| api_key=os.getenv("TAVILY_API_KEY") | |
| ) | |
| crawl = TavilyCrawl(api_key=os.getenv("TAVILY_API_KEY")) | |
| # Initialize Tavily tools | |
| tavily_api_key = os.getenv("TAVILY_API_KEY") | |
| if not tavily_api_key: | |
| raise ValueError("TAVILY_API_KEY environment variable is required") | |
| search = TavilySearch( | |
| max_results=10, | |
| topic="general", | |
| api_key=tavily_api_key | |
| ) | |
| extract = TavilyExtract( | |
| extract_depth="advanced", | |
| api_key=tavily_api_key | |
| ) | |
| crawl = TavilyCrawl(api_key=tavily_api_key) |
🤖 Prompt for AI Agents
In agents/tavily_agent/agentuity-agents/tavilyAgent/agent.py around lines 74 to
83, the code uses environment variables for API keys without validating their
presence. Add a check after retrieving the API key from the environment to
ensure it is not None or empty. If the key is missing, raise a clear exception
or log an error to prevent runtime failures later when the API key is used.
rblalock
approved these changes
Jul 17, 2025
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Summary by CodeRabbit
New Features
Documentation
Chores