Agent claude code AGENT-405 #34
Conversation
WalkthroughThis change introduces a new Agentuity agent project integrating the Claude Code SDK. It adds agent implementation, configuration, SDK usage guidelines, and supporting files such as documentation, sample scripts, and environment setup. The agent handles prompt-based requests, maintains per-session conversation history, and interacts with the Claude Code SDK via Agentuity's key-value store and logging interfaces. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Agent
participant ClaudeCodeSDK
participant KeyValueStore
User->>Agent: Sends prompt with session_id
Agent->>KeyValueStore: Get conversation history (session_id)
KeyValueStore-->>Agent: Returns history (or initializes)
Agent->>ClaudeCodeSDK: Query with prompt + history
ClaudeCodeSDK-->>Agent: Streams messages (results, assistant replies)
Agent->>KeyValueStore: Update conversation history (session_id)
Agent-->>User: Returns result or error message
Assessment against linked issues
Assessment against linked issues: Out-of-scope changes
Possibly related PRs
Suggested reviewers
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Actionable comments posted: 7
🧹 Nitpick comments (11)
agents/agent_claudeCode/claude-references/math_tricks.py (2)
4-5: Wrap print logic in amainguard to avoid import-time side-effects
If another script doesimport math_tricks, it will run the print statements immediately, which is usually undesirable for library-style example files.+def _main() -> None: + numbers = [1, 2, 3, 4, 5] + squares = [n**2 for n in numbers] + evens = [n for n in numbers if n % 2 == 0] + print("Squares:", squares) + print("Evens:", evens) + + +if __name__ == "__main__": + _main() - -numbers = [1, 2, 3, 4, 5] -squares = [n**2 for n in numbers] -evens = [n for n in numbers if n % 2 == 0] -print("Squares:", squares) -print("Evens:", evens)
1-5: Tiny nit: trailing whitespace at EOF
Line 5 ends with an extra space; most linters flag this.agents/agent_claudeCode/claude-references/dog.py (1)
1-4: Consider adding a docstring to enhance educational value.Since this is a reference script, adding a brief docstring would make it more educational and self-documenting for users learning from these examples.
+""" +Simple demonstration of nested loops and f-string formatting. +Simulates a conversation between a person offering food to a dog. +""" for food in ["pizza", "burger", "taco"]: for bark in ["woof", "bark", "arf"]: print(f"You: Do you want some {food}?") print(f"Dog: {bark}!")agents/agent_claudeCode/main.py (1)
5-6: Optional: add shebang & make script executableIf this file will be invoked directly (e.g.
./main.py), prepend a shebang and give execute permission; otherwise consider moving the entry-point intopyproject.toml/setup.cfgconsole_scriptsto avoid hard-coding the__main__guard here.+#!/usr/bin/env python3agents/agent_claudeCode/claude-references/fibonacci.py (1)
7-7: Fix PEP 8 formatting: add blank line after function definition.Add an additional blank line after the function definition to comply with PEP 8 style guidelines.
return seq + print("First 10 Fibonacci numbers:", fibonacci(10))agents/agent_claudeCode/.editorconfig (1)
7-11: Consider adjusting indentation and whitespace settings for Python best practices.Two observations about the configuration:
- Indentation: Python's PEP 8 recommends 4 spaces for indentation, but this sets 2 spaces globally.
- Trailing whitespace: Setting
trim_trailing_whitespace = falseis unusual - most projects trim trailing whitespace to maintain clean code.Consider adding a Python-specific section:
[*] indent_style = space indent_size = 2 end_of_line = lf charset = utf-8 -trim_trailing_whitespace = false +trim_trailing_whitespace = true insert_final_newline = true +[*.py] +indent_size = 4agents/agent_claudeCode/pyproject.toml (1)
4-4: Add a meaningful description for the project.The description field is empty. Consider adding a brief description of what this agent does.
-description = "" +description = "Agentuity agent integration with Claude Code SDK"agents/agent_claudeCode/README.md (3)
6-6: Fix typo in Claude Code SDK reference."Clause Code SDK" should be "Claude Code SDK".
-With Agentuity's AI Gateway, you can use Clause Code SDK without setting up your own API keys, just right out of the box! +With Agentuity's AI Gateway, you can use Claude Code SDK without setting up your own API keys, just right out of the box!
8-8: Grammar error flagged by static analysis."There a few" should be "There are a few".
-There a few sample Python files in the `claude-references` folder which you can use to test the agent. +There are a few sample Python files in the `claude-references` folder which you can use to test the agent.
10-10: Fix typo in conversation."convsersation" should be "conversation".
-You can interact with this agent conversationally to get it to interact with the codebase, it will remember your convsersation history by session. +You can interact with this agent conversationally to get it to interact with the codebase, it will remember your conversation history by session.agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (1)
5-14: Fix formatting issue and consider improving the sample prompt.The welcome function provides a good structure for initial user guidance. However, there's a formatting issue that needs to be addressed.
Apply this diff to fix the formatting issue:
+ def welcome():Additionally, consider making the sample prompt more descriptive of the agent's capabilities:
- "data": {"session": "sess_123", "prompt": "Write a haiku about dog.py"}, + "data": {"session": "sess_123", "prompt": "Help me create a Python script that reads a CSV file and generates a summary report"},
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⛔ Files ignored due to path filters (1)
agents/agent_claudeCode/uv.lockis excluded by!**/*.lock
📒 Files selected for processing (20)
agents/agent_claudeCode/.cursor/rules/agent.mdc(1 hunks)agents/agent_claudeCode/.cursor/rules/agentuity.mdc(1 hunks)agents/agent_claudeCode/.cursor/rules/sdk.mdc(1 hunks)agents/agent_claudeCode/.editorconfig(1 hunks)agents/agent_claudeCode/.gitignore(1 hunks)agents/agent_claudeCode/.python-version(1 hunks)agents/agent_claudeCode/README.md(1 hunks)agents/agent_claudeCode/agentuity-agents/__init__.py(1 hunks)agents/agent_claudeCode/agentuity-agents/agent_cc/__init__.py(1 hunks)agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py(1 hunks)agents/agent_claudeCode/agentuity.yaml(1 hunks)agents/agent_claudeCode/claude-references/class_example.py(1 hunks)agents/agent_claudeCode/claude-references/dog.py(1 hunks)agents/agent_claudeCode/claude-references/fibonacci.py(1 hunks)agents/agent_claudeCode/claude-references/file_word_count.py(1 hunks)agents/agent_claudeCode/claude-references/math_tricks.py(1 hunks)agents/agent_claudeCode/claude-references/random_greetings.py(1 hunks)agents/agent_claudeCode/main.py(1 hunks)agents/agent_claudeCode/pyproject.toml(1 hunks)agents/agent_claudeCode/server.py(1 hunks)
🧰 Additional context used
🧠 Learnings (4)
agents/agent_claudeCode/.cursor/rules/agentuity.mdc (10)
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/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.
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: 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/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.
agents/agent_claudeCode/.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/agent_claudeCode/agentuity-agents/agent_cc/agent.py (1)
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.
agents/agent_claudeCode/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: 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: 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: 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: 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: 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.
🪛 Flake8 (7.2.0)
agents/agent_claudeCode/claude-references/class_example.py
[error] 5-5: expected 1 blank line, found 0
(E301)
[error] 8-8: expected 2 blank lines after class or function definition, found 1
(E305)
agents/agent_claudeCode/claude-references/fibonacci.py
[error] 7-7: expected 2 blank lines after class or function definition, found 1
(E305)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py
[error] 5-5: expected 2 blank lines, found 1
(E302)
[error] 16-16: expected 2 blank lines, found 1
(E302)
[error] 31-31: unexpected spaces around keyword / parameter equals
(E251)
[error] 31-31: unexpected spaces around keyword / parameter equals
(E251)
[error] 43-43: at least two spaces before inline comment
(E261)
[error] 48-48: missing whitespace after keyword
(E275)
[error] 48-48: do not compare types, for exact checks use is / is not, for instance checks use isinstance()
(E721)
[error] 51-51: missing whitespace after keyword
(E275)
[error] 51-51: missing whitespace around operator
(E225)
🪛 Pylint (3.3.7)
agents/agent_claudeCode/claude-references/class_example.py
[refactor] 1-1: Too few public methods (1/2)
(R0903)
🪛 LanguageTool
agents/agent_claudeCode/README.md
[uncategorized] ~7-~7: Did you mean “there is/are”? Please check if there is a verb missing.
Context: ...n API keys, just right out of the box! There a few sample Python files in the `claud...
(AI_HYDRA_LEO_CPT_THERE_THEREIS)
🪛 Ruff (0.11.9)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py
48-48: Use is and is not for type comparisons, or isinstance() for isinstance checks
(E721)
51-51: Use is and is not for type comparisons, or isinstance() for isinstance checks
(E721)
🔇 Additional comments (22)
agents/agent_claudeCode/claude-references/dog.py (1)
1-4: LGTM! Clean reference script demonstrating nested loops and f-strings.The implementation is correct and serves well as a simple educational example. The nested loop structure clearly demonstrates iteration concepts, and the f-string usage shows modern Python string formatting.
agents/agent_claudeCode/claude-references/random_greetings.py (1)
1-4: LGTM! Simple and effective example script.The code demonstrates basic Python concepts clearly with proper use of the
randommodule and list operations. Perfect for a reference example.agents/agent_claudeCode/pyproject.toml (1)
6-10: ```shell
#!/bin/bash
set -euo pipefailFetch the latest version of the
anthropicpackage from PyPI, bypassing SSL cert verificationpython3 - << 'EOF'
import json, ssl, urllib.request
ctx = ssl._create_unverified_context()
data = json.loads(urllib.request.urlopen("https://pypi.org/pypi/anthropic/json", context=ctx).read().decode())
print(data["info"]["version"])
EOF</details> <details> <summary>agents/agent_claudeCode/claude-references/file_word_count.py (1)</summary> `1-3`: **LGTM! Clean and straightforward example.** The code demonstrates basic string processing and counting operations effectively. Good choice for a reference example. </details> <details> <summary>agents/agent_claudeCode/.python-version (1)</summary> `1-1`: **Confirm 3.12 runtime support across your stack** Pinning Python 3.12 is fine, but please double-check that every dependency (notably `uv` and the Claude Code SDK) is published as wheels for 3.12 and that your CI image / runtime layer ships that version. </details> <details> <summary>agents/agent_claudeCode/agentuity-agents/__init__.py (1)</summary> `1-1`: **Package marker looks good** Blank `__init__.py` correctly turns the folder into a package. </details> <details> <summary>agents/agent_claudeCode/agentuity-agents/agent_cc/__init__.py (1)</summary> `1-1`: **Package marker looks good** Same remark as above. </details> <details> <summary>agents/agent_claudeCode/.cursor/rules/agentuity.mdc (1)</summary> `1-10`: **Rule file aligns with documented convention** The metadata correctly instructs reviewers not to suggest edits to `agentuity.yaml`. No issues spotted. </details> <details> <summary>agents/agent_claudeCode/agentuity.yaml (1)</summary> `1-65`: **No edit required – just validate operational values** Per project guidelines this file should remain untouched. Please still verify in a deploy-like environment that: • the `uv run` entrypoint works with the given memory/CPU limits; • port 3500 is available where you plan to run the dev server; • bundler ignore patterns don’t accidentally exclude agent code. </details> <details> <summary>agents/agent_claudeCode/README.md (3)</summary> `12-30`: **LGTM! Clear and comprehensive quick start guide.** The installation and setup instructions are well-structured and provide clear steps for users to get started with the Claude Code SDK integration. --- `31-35`: **LGTM! Implementation details are informative.** The explanation of the agent's functionality and use of Agentuity's KV store for conversation history is clear and helpful. --- `8-8`: ```shell #!/bin/bash # List all files in the claude-references directory echo "Contents of agents/agent_claudeCode/claude-references/:" fd "" "agents/agent_claudeCode/claude-references" # Specifically look for Python files echo -e "\nPython files (*.py) found:" fd -t f -e py "agents/agent_claudeCode/claude-references"agents/agent_claudeCode/.cursor/rules/agent.mdc (1)
1-35: LGTM! Excellent guidelines that align with Agentuity best practices.This documentation perfectly captures the requirements for Agentuity AI agents, including:
- Async
runfunction signature with proper type hints- Import recommendations from the
agentuitypackage- Proper use of context logging
- Clear example implementation
The content is consistent with the retrieved learnings and provides valuable guidance for agent development.
agents/agent_claudeCode/server.py (4)
1-5: LGTM! Clean and appropriate imports.The imports are well-organized and include all necessary modules for the server functionality.
6-18: LGTM! Excellent environment validation with helpful error messages.The API key validation logic is comprehensive and provides actionable guidance for users, including specific instructions for
uvusers with.envfiles.
20-27: LGTM! Appropriate warnings for transport URL validation.The warnings appropriately inform users about running outside the Agentuity environment while still allowing the server to start.
29-36: LGTM! Proper logging setup and server startup.The logging configuration is appropriate for a development server, and the
autostart()call properly initiates the agent server.agents/agent_claudeCode/.cursor/rules/sdk.mdc (1)
1-99: LGTM! Comprehensive and well-structured SDK documentation.This is excellent reference documentation that covers:
- Complete API interface descriptions
- Clear method signatures and usage patterns
- Storage and logging capabilities
- Practical best practices for agent development
- Proper link to official documentation
The documentation will be invaluable for developers working with the Agentuity Python SDK.
agents/agent_claudeCode/.gitignore (1)
1-180: LGTM! Comprehensive .gitignore file with excellent coverage.This .gitignore file provides thorough coverage of:
- Standard Python build artifacts and caches
- Modern package managers (UV, poetry, pdm)
- Testing and development tools
- IDE and editor configurations
- Agentuity-specific files (
.agentuity, crash logs)The organization and comments make it easy to understand and maintain.
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (3)
1-4: LGTM: Imports look appropriate for the agent functionality.The imports correctly include the required Agentuity framework types and Claude Code SDK components needed for the agent implementation.
23-28: LGTM: History management logic is well-implemented.The conversation history retrieval and initialization logic properly handles both existing and new sessions using the Agentuity key-value store.
54-59: LGTM: Proper state management and error handling.The implementation correctly saves the updated conversation history and provides appropriate error handling with logging.
| def main(): | ||
| print("Hello from agent-claudecode!") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Prefer logging + add docstring & typing
A production agent should emit structured logs rather than raw print().
Adding a minimal docstring and a return-type hint also improves readability & tooling support.
+import logging
+
+logger = logging.getLogger(__name__)
+
-def main():
- print("Hello from agent-claudecode!")
+def main() -> None:
+ """
+ CLI entry-point for the agent-claudecode demo.
+
+ Currently a placeholder that simply verifies the package is wired up.
+ Extend or replace with real CLI behaviour once the server hookup lands.
+ """
+ logger.info("Hello from agent-claudecode!")📝 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.
| def main(): | |
| print("Hello from agent-claudecode!") | |
| import logging | |
| logger = logging.getLogger(__name__) | |
| def main() -> None: | |
| """ | |
| CLI entry-point for the agent-claudecode demo. | |
| Currently a placeholder that simply verifies the package is wired up. | |
| Extend or replace with real CLI behaviour once the server hookup lands. | |
| """ | |
| logger.info("Hello from agent-claudecode!") |
🤖 Prompt for AI Agents
In agents/agent_claudeCode/main.py at lines 1 to 2, replace the print statement
with a structured logging call using the logging module. Add a minimal docstring
to the main function describing its purpose and include a return type hint of
None to improve readability and tooling support.
| def fibonacci(n): | ||
| seq = [0, 1] | ||
| for _ in range(2, n): | ||
| seq.append(seq[-1] + seq[-2]) | ||
| return seq |
There was a problem hiding this comment.
Fix edge case handling for n <= 1.
The function has incorrect behavior for edge cases:
fibonacci(0)returns[0, 1]instead of[]fibonacci(1)returns[0, 1]instead of[0]
Apply this diff to handle edge cases correctly:
def fibonacci(n):
+ if n <= 0:
+ return []
+ if n == 1:
+ return [0]
seq = [0, 1]
for _ in range(2, n):
seq.append(seq[-1] + seq[-2])
return seq📝 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.
| def fibonacci(n): | |
| seq = [0, 1] | |
| for _ in range(2, n): | |
| seq.append(seq[-1] + seq[-2]) | |
| return seq | |
| def fibonacci(n): | |
| if n <= 0: | |
| return [] | |
| if n == 1: | |
| return [0] | |
| seq = [0, 1] | |
| for _ in range(2, n): | |
| seq.append(seq[-1] + seq[-2]) | |
| return seq |
🤖 Prompt for AI Agents
In agents/agent_claudeCode/claude-references/fibonacci.py at lines 1 to 5, the
fibonacci function does not handle edge cases where n is 0 or 1 correctly.
Modify the function to return an empty list when n is 0 and a list containing
only 0 when n is 1. Implement conditional checks at the start of the function to
return these values before proceeding with the existing logic.
| def display_info(self): | ||
| print(f"'{self.title}' by {self.author}") | ||
|
|
||
| book = Book("1984", "George Orwell") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix PEP 8 formatting: Add blank lines after class definition.
book = Book("1984", "George Orwell")Should be:
print(f"'{self.title}' by {self.author}")
+
book = Book("1984", "George Orwell")Committable suggestion skipped: line range outside the PR's diff.
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 8-8: expected 2 blank lines after class or function definition, found 1
(E305)
🤖 Prompt for AI Agents
In agents/agent_claudeCode/claude-references/class_example.py at line 8, add a
blank line after the class definition before the instantiation of the Book
object to comply with PEP 8 formatting guidelines.
| def __init__(self, title, author): | ||
| self.title = title | ||
| self.author = author | ||
| def display_info(self): |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix PEP 8 formatting: Add blank line before method definition.
self.author = author
+
def display_info(self):📝 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.
| def display_info(self): | |
| self.author = author | |
| def display_info(self): |
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 5-5: expected 1 blank line, found 0
(E301)
🤖 Prompt for AI Agents
In agents/agent_claudeCode/claude-references/class_example.py at line 5, add a
blank line before the method definition display_info to comply with PEP 8
formatting guidelines for class method separation.
| print(message) | ||
| if(type(message) == ResultMessage): | ||
| result += message.result or "" | ||
| history += f"Assistant: {message.result}\n" | ||
| elif(type(message)==AssistantMessage): | ||
| history += "".join(f"Assistant: {msg}\n" for msg in message.content) | ||
|
|
There was a problem hiding this comment.
Fix type comparison and formatting issues.
The message processing logic has type comparison issues that should be addressed for better code quality and reliability.
Apply this diff to fix the type comparisons and formatting:
print(message)
- if(type(message) == ResultMessage):
+ if isinstance(message, ResultMessage):
result += message.result or ""
history += f"Assistant: {message.result}\n"
- elif(type(message)==AssistantMessage):
+ elif isinstance(message, AssistantMessage):
history += "".join(f"Assistant: {msg}\n" for msg in message.content)📝 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.
| print(message) | |
| if(type(message) == ResultMessage): | |
| result += message.result or "" | |
| history += f"Assistant: {message.result}\n" | |
| elif(type(message)==AssistantMessage): | |
| history += "".join(f"Assistant: {msg}\n" for msg in message.content) | |
| print(message) | |
| if isinstance(message, ResultMessage): | |
| result += message.result or "" | |
| history += f"Assistant: {message.result}\n" | |
| elif isinstance(message, AssistantMessage): | |
| history += "".join(f"Assistant: {msg}\n" for msg in message.content) |
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 48-48: missing whitespace after keyword
(E275)
[error] 48-48: do not compare types, for exact checks use is / is not, for instance checks use isinstance()
(E721)
[error] 51-51: missing whitespace after keyword
(E275)
[error] 51-51: missing whitespace around operator
(E225)
🪛 Ruff (0.11.9)
48-48: Use is and is not for type comparisons, or isinstance() for isinstance checks
(E721)
51-51: Use is and is not for type comparisons, or isinstance() for isinstance checks
(E721)
🤖 Prompt for AI Agents
In agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py around lines 47 to
53, replace the type comparisons using 'type(message) == ClassName' with
'isinstance(message, ClassName)' for proper type checking. Also, adjust the
formatting in the elif block to correctly concatenate the assistant messages by
iterating over message.content and prefixing each with "Assistant: " followed by
a newline. This will improve code reliability and clarity.
| result = "" | ||
| async for message in query( | ||
| prompt = f""" | ||
| You are a helpful coding assistant with access to the codebase. You can read files, make changes, and run commands. | ||
|
|
||
| User prompt: | ||
| {prompt} | ||
|
|
||
| Conversation history: | ||
| {history} | ||
| """, | ||
| options=ClaudeCodeOptions( | ||
| max_turns=5, | ||
| permission_mode="acceptEdits", | ||
| cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with. | ||
| allowed_tools=["Read", "Write", "Bash"], | ||
| ) | ||
| ): |
There was a problem hiding this comment.
🛠️ Refactor suggestion
🧩 Verification correct
Fix formatting issues and verify working directory path.
The Claude Code SDK integration looks correct, but there are several formatting issues that need to be addressed.
Apply this diff to fix formatting issues:
result = ""
async for message in query(
- prompt = f"""
+ prompt=f"""
You are a helpful coding assistant with access to the codebase. You can read files, make changes, and run commands.
User prompt:
{prompt}
Conversation history:
{history}
""",
options=ClaudeCodeOptions(
- max_turns=5,
+ max_turns=5,
permission_mode="acceptEdits",
- cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with.
+ cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with.
allowed_tools=["Read", "Write", "Bash"],
- )
+ )Please verify that the claude-references/ directory exists in the deployment environment:
🏁 Script executed:
#!/bin/bash
# Description: Verify the existence of the claude-references directory
# Expected: Directory should exist or be created during deployment
fd -t d "claude-references" . Length of output: 74
Fix formatting issues and verify working directory path.
The Claude Code SDK integration looks correct, but there are several formatting issues that need to be addressed.
Apply this diff to fix formatting issues:
result = ""
async for message in query(
- prompt = f"""
+ prompt=f"""
You are a helpful coding assistant with access to the codebase. You can read files, make changes, and run commands.
User prompt:
{prompt}
Conversation history:
{history}
""",
options=ClaudeCodeOptions(
- max_turns=5,
+ max_turns=5,
permission_mode="acceptEdits",
- cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with.
+ cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with.
allowed_tools=["Read", "Write", "Bash"],
- )
+ )Please verify that the claude-references/ directory exists in the deployment environment:
#!/bin/bash
# Description: Verify the existence of the claude-references directory
# Expected: Directory should exist or be created during deployment
fd -t d "claude-references" . 🧰 Tools
🪛 Flake8 (7.2.0)
[error] 31-31: unexpected spaces around keyword / parameter equals
(E251)
[error] 31-31: unexpected spaces around keyword / parameter equals
(E251)
[error] 43-43: at least two spaces before inline comment
(E261)
🤖 Prompt for AI Agents
In agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py around lines 29 to
46, fix the formatting issues in the async for loop and the ClaudeCodeOptions
instantiation by properly aligning parameters and closing parentheses. Also,
verify that the working directory path "claude-references/" exists in the
deployment environment by running a directory check command or ensuring it is
created during deployment.
| async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): | ||
| try: | ||
|
|
||
| data = await request.data.json() | ||
| prompt = data["prompt"] | ||
| session = data["session"] | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix formatting and improve data extraction robustness.
The function signature correctly follows the Agentuity SDK pattern from the learnings. However, there are formatting issues and the data extraction could be more robust.
Apply this diff to fix formatting and improve error handling:
+
async def run(request: AgentRequest, response: AgentResponse, context: AgentContext):
try:
-
- data = await request.data.json()
- prompt = data["prompt"]
- session = data["session"]
+ data = await request.data.json()
+ prompt = data.get("prompt")
+ session = data.get("session")
+
+ if not prompt or not session:
+ return response.text("Error: Both 'prompt' and 'session' are required in the request data.")📝 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.
| async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): | |
| try: | |
| data = await request.data.json() | |
| prompt = data["prompt"] | |
| session = data["session"] | |
| async def run(request: AgentRequest, response: AgentResponse, context: AgentContext): | |
| try: | |
| data = await request.data.json() | |
| prompt = data.get("prompt") | |
| session = data.get("session") | |
| if not prompt or not session: | |
| return response.text("Error: Both 'prompt' and 'session' are required in the request data.") |
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 16-16: expected 2 blank lines, found 1
(E302)
🤖 Prompt for AI Agents
In agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py around lines 16 to
22, fix the inconsistent indentation and spacing issues in the async run
function. Improve robustness by adding error handling when extracting "prompt"
and "session" from the JSON data, such as using .get() with default values or
try-except blocks to handle missing keys gracefully. Ensure the code formatting
follows PEP8 standards for readability.
There was a problem hiding this comment.
Actionable comments posted: 0
♻️ Duplicate comments (3)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (3)
18-21: Improve data extraction robustness.The current implementation doesn't handle cases where required keys might be missing from the JSON data, which could cause KeyError exceptions.
- ## Get the prompt and session from the request. - data = await request.data.json() - prompt = data["prompt"] - session = data["session"] + # Get the prompt and session from the request. + data = await request.data.json() + prompt = data.get("prompt") + session = data.get("session") + + if not prompt or not session: + return response.text("Error: Both 'prompt' and 'session' are required in the request data.")
35-49: Fix formatting issues in Claude Code query.Multiple formatting issues need to be addressed for PEP8 compliance.
async for message in query( - prompt = f""" + prompt=f""" You are a helpful coding assistant with access to the codebase. You can read files, make changes, and run commands. User prompt: {prompt} Conversation history: {history} """, options=ClaudeCodeOptions( - max_turns=5, + max_turns=5, permission_mode="acceptEdits", - cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with. + cwd=Path("claude-references/"), # This directory contains a list of example files for Claude Code to interact with. allowed_tools=["Read", "Write", "Bash"], - ) + )
54-56: Fix spacing in isinstance check.The isinstance check has incorrect spacing around the parentheses.
- if(isinstance(message, ResultMessage)): + if isinstance(message, ResultMessage):
🧹 Nitpick comments (4)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (4)
2-2: Remove unused import.The
AssistantMessageimport is not used in the code and should be removed to keep the imports clean.-from claude_code_sdk import AssistantMessage, ResultMessage, query, ClaudeCodeOptions +from claude_code_sdk import ResultMessage, query, ClaudeCodeOptions
5-5: Fix PEP8 formatting: add required blank lines.According to PEP8, there should be 2 blank lines before function definitions at the module level.
from pathlib import Path + def welcome():} + async def run(request: AgentRequest, response: AgentResponse, context: AgentContext):Also applies to: 16-16
54-56: Consider handling AssistantMessage for completeness.The current implementation only processes
ResultMessageobjects, but the Claude Code SDK might also returnAssistantMessageobjects that contain useful information. This could lead to incomplete conversation history.If
AssistantMessageobjects are relevant to the conversation flow, consider adding handling for them:if isinstance(message, ResultMessage): result += message.result or "" history += f"Assistant: {message.result}\n\n" + elif isinstance(message, AssistantMessage): + # Handle AssistantMessage if needed for conversation history + pass
18-18: Fix comment formatting.Multiple comments use too many
#characters, which violates PEP8 style guidelines.- ## Get the prompt and session from the request. + # Get the prompt and session from the request.- ## Get the conversation history from the KV store. + # Get the conversation history from the KV store.- ## Send the prompt to the Claude Code. + # Send the prompt to the Claude Code.- ## If the message is a ResultMessage, that means the assistant has finished executing and we can return the result to the user. + # If the message is a ResultMessage, that means the assistant has finished executing and we can return the result to the user.- ## Save the conversation history to the KV store. + # Save the conversation history to the KV store.Also applies to: 23-23, 32-32, 53-53, 58-58
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py(1 hunks)agents/agent_claudeCode/claude-references/dog.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- agents/agent_claudeCode/claude-references/dog.py
🧰 Additional context used
🧠 Learnings (1)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (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/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/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/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).
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.
🪛 Ruff (0.11.9)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py
2-2: claude_code_sdk.AssistantMessage imported but unused
Remove unused import: claude_code_sdk.AssistantMessage
(F401)
🪛 Flake8 (7.2.0)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py
[error] 2-2: 'claude_code_sdk.AssistantMessage' imported but unused
(F401)
[error] 5-5: expected 2 blank lines, found 1
(E302)
[error] 16-16: expected 2 blank lines, found 1
(E302)
[error] 18-18: too many leading '#' for block comment
(E266)
[error] 23-23: too many leading '#' for block comment
(E266)
[error] 32-32: too many blank lines (2)
(E303)
[error] 32-32: too many leading '#' for block comment
(E266)
[error] 35-35: unexpected spaces around keyword / parameter equals
(E251)
[error] 35-35: unexpected spaces around keyword / parameter equals
(E251)
[error] 47-47: at least two spaces before inline comment
(E261)
[error] 53-53: too many leading '#' for block comment
(E266)
[error] 54-54: missing whitespace after keyword
(E275)
[error] 58-58: too many leading '#' for block comment
(E266)
🔇 Additional comments (2)
agents/agent_claudeCode/agentuity-agents/agent_cc/agent.py (2)
16-64: LGTM: Proper Agentuity SDK pattern implementation.The async
runfunction correctly follows the Agentuity SDK pattern with the proper signature (request: AgentRequest, response: AgentResponse, context: AgentContext) as specified in the retrieved learnings. The integration with Claude Code SDK, conversation history management via KV store, and error handling structure are well implemented.
47-47: Verify the claude-references directory exists.The hardcoded path
claude-references/might not exist in the deployment environment, which could cause runtime errors.#!/bin/bash # Description: Check if the claude-references directory exists in the project # Expected: Directory should exist or be documented as a deployment requirement fd -t d "claude-references"
Summary by CodeRabbit
New Features
Documentation
Chores