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Copilot AI commented Jul 2, 2025

This PR refactors the framework support for both FastAgent and Agno to use structured configuration objects instead of manual string concatenation, making the code more maintainable and robust.

Problem

The current implementation generates Python code through extensive string manipulation:

# Before: Manual string building
lines = []
lines.extend([
    "import asyncio",
    "from mcp_agent.core.fastagent import FastAgent",
    "",
    "# Create the application", 
    'fast = FastAgent("Generated by Agentman")',
])
for agent in self.config.agents.values():
    lines.append(agent.to_decorator_string(self.config.default_model))
return "\n".join(lines)

This approach has several issues:

  • Error-prone string concatenation
  • Difficult to test individual components
  • Hard to maintain as frameworks evolve
  • No type safety or validation

Solution

Introduced structured configuration classes and code generators:

FastAgent Framework

  • FastAgentConfig: Type-safe configuration object for app settings
  • FastAgentCodeGenerator: Generates clean Python code from configuration
  • Separates concerns between configuration and code generation

Agno Framework

  • AgnoFrameworkConfig: Structured configuration for agents, teams, and tools
  • AgnoCodeGenerator: Handles import management and code structure
  • AgnoConfigBuilder: Maps server names to tool configurations with proper typing

Key Improvements

  1. Type Safety: Configuration objects with proper validation
  2. Better Structure: Clean separation between data and code generation logic
  3. Maintainability: Easier to extend and modify framework support
  4. Testing: Individual components can be tested in isolation
  5. Code Quality: Generated code follows framework best practices

Example Output

FastAgent (before vs after - same clean output):

import asyncio
from mcp_agent.core.fastagent import FastAgent

# Create the application
fast = FastAgent("Generated by Agentman")

@fast.agent(
    name="helper",
    instruction="""You are a helpful assistant""",
    servers=["web_search"],
    model="anthropic/claude-3-sonnet-20241022"
)
async def main() -> None:
    async with fast.run() as agent:
        await agent()

Agno (now with proper tool imports and structured configuration):

import os
from agno.agent import Agent
from dotenv import load_dotenv
load_dotenv()

from agno.models.anthropic import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools

researcher_agent = Agent(
    name="researcher",
    instructions="""Research specialist""",
    model=Claude(id="anthropic/claude-3-sonnet-20241022"),
    tools=[DuckDuckGoTools(), ReasoningTools(add_instructions=True)],
    # ... additional configuration
)

Testing

  • All existing tests (80/80) continue to pass
  • Added 6 new tests specifically for the structured builders
  • Verified generated code compiles and follows Python syntax
  • Confirmed backward compatibility with existing configurations

Benefits

  • Maintainability: Framework updates easier to integrate
  • Reliability: Type-safe configuration reduces runtime errors
  • Extensibility: New frameworks can follow the same patterns
  • Code Quality: Generated code is cleaner and more structured

Fixes #7.


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Summary by Sourcery

Refactor FastAgent and Agno framework support to leverage structured configuration classes and builder-based code generators in place of manual string concatenation.

New Features:

  • Introduce FastAgentConfig and FastAgentCodeGenerator for type-safe FastAgent code generation.
  • Add AgnoFrameworkConfig, AgnoConfigBuilder, AgnoAgentConfig, AgnoTeamConfig, AgnoModelConfig, AgnoToolConfig, and AgnoCodeGenerator for structured Agno code generation.

Enhancements:

  • Replace ad-hoc string assembly with clear separation between data models and code generation logic.
  • Simplify and consolidate import, agent, team, and main-function generation workflows for both frameworks.
  • Ensure backward compatibility while improving maintainability, testability, and type safety.

Tests:

  • Add end-to-end and unit tests for FastAgent and Agno structured builders to validate generated code and configurations.

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sourcery-ai bot commented Jul 2, 2025

Reviewer's Guide

This PR refactors both Agno and FastAgent framework support to use structured configuration classes and dedicated code generators, replacing manual string concatenation with type-safe builders for maintainable and testable code generation.

Sequence diagram for Agno agent code generation using structured configuration

sequenceDiagram
    participant User
    participant AgnoFramework
    participant AgnoConfigBuilder
    participant AgnoFrameworkConfig
    participant AgnoCodeGenerator
    User->>AgnoFramework: build_agent_content()
    AgnoFramework->>AgnoConfigBuilder: build_model_config(), build_tools_for_servers()
    AgnoFramework->>AgnoFrameworkConfig: create AgnoAgentConfig, AgnoTeamConfig
    AgnoFramework->>AgnoCodeGenerator: pass AgnoFrameworkConfig
    AgnoCodeGenerator->>AgnoCodeGenerator: generate_complete_code()
    AgnoCodeGenerator-->>AgnoFramework: return generated code
    AgnoFramework-->>User: return code
Loading

Sequence diagram for FastAgent code generation using structured configuration

sequenceDiagram
    participant User
    participant FastAgentFramework
    participant FastAgentConfig
    participant FastAgentCodeGenerator
    User->>FastAgentFramework: build_agent_content()
    FastAgentFramework->>FastAgentConfig: create and populate config
    FastAgentFramework->>FastAgentCodeGenerator: pass FastAgentConfig
    FastAgentCodeGenerator->>FastAgentCodeGenerator: generate_complete_code()
    FastAgentCodeGenerator-->>FastAgentFramework: return generated code
    FastAgentFramework-->>User: return code
Loading

Class diagram for new Agno structured configuration and code generation

classDiagram
    class AgnoFrameworkConfig {
        +List~AgnoAgentConfig~ agents
        +AgnoTeamConfig team
        +bool has_prompt_file
        +Set~str~ required_imports
        +Set~str~ tool_imports
    }
    class AgnoAgentConfig {
        +str name
        +str variable_name
        +str instruction
        +str role
        +AgnoModelConfig model_config
        +List~AgnoToolConfig~ tools
        +bool use_history
        +bool human_input
        +Dict~str,Any~ enhanced_properties
    }
    class AgnoTeamConfig {
        +str name
        +str variable_name
        +str mode
        +List~str~ agent_variables
        +AgnoModelConfig model_config
        +List~AgnoToolConfig~ tools
        +List~str~ instructions
        +Dict~str,Any~ enhanced_properties
    }
    class AgnoModelConfig {
        +str model_type
        +str model_id
        +str provider
        +str api_key_env
        +str base_url_env
    }
    class AgnoToolConfig {
        +str tool_class
        +str import_path
        +Dict~str,Any~ params
    }
    class AgnoCodeGenerator {
        -AgnoFrameworkConfig config
        +generate_imports()
        +generate_agent_definitions()
        +generate_team_definition()
        +generate_main_function()
        +generate_entry_point()
        +generate_complete_code()
    }
    class AgnoConfigBuilder {
        +build_model_config(model: str)
        +build_tools_for_servers(servers: List~str~)
        +get_tool_imports(tools: List~AgnoToolConfig~)
    }
    AgnoFrameworkConfig "1" o-- "*" AgnoAgentConfig
    AgnoFrameworkConfig "1" o-- "0..1" AgnoTeamConfig
    AgnoAgentConfig "1" o-- "0..1" AgnoModelConfig
    AgnoAgentConfig "1" o-- "*" AgnoToolConfig
    AgnoTeamConfig "1" o-- "0..1" AgnoModelConfig
    AgnoTeamConfig "1" o-- "*" AgnoToolConfig
    AgnoCodeGenerator --> AgnoFrameworkConfig
    AgnoConfigBuilder --> AgnoToolConfig
    AgnoConfigBuilder --> AgnoModelConfig
Loading

Class diagram for new FastAgent structured configuration and code generation

classDiagram
    class FastAgentConfig {
        +str name
        +List~Dict~ agents
        +List~Dict~ routers
        +List~Dict~ chains
        +List~Dict~ orchestrators
        +bool has_prompt_file
        +__post_init__()
    }
    class FastAgentCodeGenerator {
        -FastAgentConfig config
        +generate_imports()
        +generate_app_creation()
        +generate_agent_decorators()
        +generate_router_decorators()
        +generate_chain_decorators()
        +generate_orchestrator_decorators()
        +generate_main_function()
        +generate_entry_point()
        +generate_complete_code()
    }
    FastAgentCodeGenerator --> FastAgentConfig
Loading

File-Level Changes

Change Details Files
Replace manual code assembly in AgnoFramework with structured builder and generator
  • Removed inline string concatenation for imports, models, tools, and main logic
  • Instantiate AgnoFrameworkConfig and AgnoAgentConfig/AgnoTeamConfig via AgnoConfigBuilder
  • Delegate code generation to AgnoCodeGenerator.generate_complete_code()
src/agentman/frameworks/agno.py
src/agentman/frameworks/agno_builder.py
Replace manual decorator generation in FastAgentFramework with structured builder and generator
  • Removed direct to_decorator_string calls and inline decorator logic
  • Populate FastAgentConfig with agents, routers, chains, orchestrators
  • Use FastAgentCodeGenerator.generate_complete_code() for output
src/agentman/frameworks/fast_agent.py
src/agentman/frameworks/fast_agent_builder.py
Add tests for structured builder modules and backward compatibility
  • New tests cover FastAgentCodeGenerator and AgnoCodeGenerator outputs
  • Verify type safety, code quality, syntax correctness, and legacy behavior
  • Ensure structured builders produce expected imports, decorators, and code sections
tests/test_refactored_framework_builders.py

Assessment against linked issues

Issue Objective Addressed Explanation
#7 Refactor the fast-agent and agno frameworks to use their Python packages for constructing the agent.py file.
#7 Improve the maintainability and robustness of the generated agent.py code.

Possibly linked issues


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Getting Help

…lasses

Co-authored-by: yeahdongcn <2831050+yeahdongcn@users.noreply.github.com>
Copilot AI changed the title [WIP] Refactor fast-agent and agno support using their python packages Refactor fast-agent and agno support using structured configuration classes Jul 2, 2025
Copilot AI requested a review from yeahdongcn July 2, 2025 08:45
@yeahdongcn yeahdongcn requested a review from Copilot July 2, 2025 08:49
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Hey @Copilot - I've reviewed your changes and they look great!

Prompt for AI Agents
Please address the comments from this code review:
## Individual Comments

### Comment 1
<location> `src/agentman/frameworks/agno.py:231` </location>
<code_context>
     def get_dockerfile_config_lines(self) -> List[str]:
         """Get Agno-specific Dockerfile configuration lines."""
         return ["COPY .env ."]
+
+    def get_dockerfile_config_lines(self) -> List[str]:
</code_context>

<issue_to_address>
Duplicate get_dockerfile_config_lines method definition.

The first definition will be overwritten by the second. Please remove the duplicate to prevent confusion and maintenance issues.
</issue_to_address>

### Comment 2
<location> `src/agentman/frameworks/fast_agent_builder.py:19` </location>
<code_context>
+    orchestrators: List[Dict[str, Any]] = None
+    has_prompt_file: bool = False
+
+    def __post_init__(self):
+        if self.agents is None:
+            self.agents = []
+        if self.routers is None:
+            self.routers = []
+        if self.chains is None:
+            self.chains = []
+        if self.orchestrators is None:
+            self.orchestrators = []
+
</code_context>

<issue_to_address>
Mutable default arguments are handled in __post_init__, but the dataclass fields use None as default.

Consider using field(default_factory=list) for these fields to make the code more idiomatic and eliminate the need for __post_init__ to handle mutable defaults.

Suggested implementation:

```python
from dataclasses import dataclass, field

```

```python
    agents: List[Dict[str, Any]] = field(default_factory=list)
    routers: List[Dict[str, Any]] = field(default_factory=list)
    chains: List[Dict[str, Any]] = field(default_factory=list)
    orchestrators: List[Dict[str, Any]] = field(default_factory=list)
    has_prompt_file: bool = False

```

```python

```
</issue_to_address>

Sourcery is free for open source - if you like our reviews please consider sharing them ✨
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

Comment on lines 231 to 233
def get_dockerfile_config_lines(self) -> List[str]:
"""Get Agno-specific Dockerfile configuration lines."""
return ["COPY .env ."]
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issue (bug_risk): Duplicate get_dockerfile_config_lines method definition.

The first definition will be overwritten by the second. Please remove the duplicate to prevent confusion and maintenance issues.

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Fixed the duplicate method definition in commit eb45193. Removed the redundant get_dockerfile_config_lines method to eliminate the potential override issue.

Comment on lines 19 to 26
def __post_init__(self):
if self.agents is None:
self.agents = []
if self.routers is None:
self.routers = []
if self.chains is None:
self.chains = []
if self.orchestrators is None:
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suggestion: Mutable default arguments are handled in post_init, but the dataclass fields use None as default.

Consider using field(default_factory=list) for these fields to make the code more idiomatic and eliminate the need for post_init to handle mutable defaults.

Suggested implementation:

from dataclasses import dataclass, field
    agents: List[Dict[str, Any]] = field(default_factory=list)
    routers: List[Dict[str, Any]] = field(default_factory=list)
    chains: List[Dict[str, Any]] = field(default_factory=list)
    orchestrators: List[Dict[str, Any]] = field(default_factory=list)
    has_prompt_file: bool = False

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Implemented the suggested improvement in commit eb45193. Changed FastAgentConfig to use field(default_factory=list) for all list fields and removed the __post_init__ method, making the code more idiomatic and cleaner.

Comment on lines +153 to +161
for line in lines:
if line.startswith('import ') or line.startswith('from '):
import_section_found = True
elif '= Agent(' in line:
agent_section_found = True
elif '= Team(' in line:
team_section_found = True
elif 'def main(' in line:
main_section_found = True
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issue (code-quality): Avoid loops in tests. (no-loop-in-tests)

ExplanationAvoid complex code, like loops, in test functions.

Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:

  • loops
  • conditionals

Some ways to fix this:

  • Use parametrized tests to get rid of the loop.
  • Move the complex logic into helpers.
  • Move the complex part into pytest fixtures.

Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.

Software Engineering at Google / Don't Put Logic in Tests

Comment on lines +154 to +161
if line.startswith('import ') or line.startswith('from '):
import_section_found = True
elif '= Agent(' in line:
agent_section_found = True
elif '= Team(' in line:
team_section_found = True
elif 'def main(' in line:
main_section_found = True
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issue (code-quality): Avoid conditionals in tests. (no-conditionals-in-tests)

ExplanationAvoid complex code, like conditionals, in test functions.

Google's software engineering guidelines says:
"Clear tests are trivially correct upon inspection"
To reach that avoid complex code in tests:

  • loops
  • conditionals

Some ways to fix this:

  • Use parametrized tests to get rid of the loop.
  • Move the complex logic into helpers.
  • Move the complex part into pytest fixtures.

Complexity is most often introduced in the form of logic. Logic is defined via the imperative parts of programming languages such as operators, loops, and conditionals. When a piece of code contains logic, you need to do a bit of mental computation to determine its result instead of just reading it off of the screen. It doesn't take much logic to make a test more difficult to reason about.

Software Engineering at Google / Don't Put Logic in Tests

Comment on lines 179 to 180
for instruction in self.config.team.instructions:
lines.append(f' "{instruction}",')
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suggestion (code-quality): Replace a for append loop with list extend (for-append-to-extend)

Suggested change
for instruction in self.config.team.instructions:
lines.append(f' "{instruction}",')
lines.extend(
f' "{instruction}",'
for instruction in self.config.team.instructions
)

config = parser.parse_content(content)

with tempfile.TemporaryDirectory() as temp_dir:
builder = AgentBuilder(config, temp_dir)
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issue (code-quality): We've found these issues:

config = parser.parse_content(content)

with tempfile.TemporaryDirectory() as temp_dir:
builder = AgentBuilder(config, temp_dir)
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issue (code-quality): Extract code out into method (extract-method)

Comment on lines +104 to +114
claude_config = builder.build_model_config("anthropic/claude-3-sonnet")
assert claude_config.model_type == "claude"
assert claude_config.model_id == "anthropic/claude-3-sonnet"

openai_config = builder.build_model_config("openai/gpt-4")
assert openai_config.model_type == "openai"
assert openai_config.model_id == "openai/gpt-4"

custom_config = builder.build_model_config("groq/mixtral-8x7b")
assert custom_config.model_type == "custom"
assert custom_config.model_id == "groq/mixtral-8x7b"
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issue (code-quality): Extract duplicate code into method (extract-duplicate-method)

config = parser.parse_content(content)

with tempfile.TemporaryDirectory() as temp_dir:
builder = AgentBuilder(config, temp_dir)
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issue (code-quality): Extract code out into method (extract-method)

Comment on lines +200 to +208
builder = AgentBuilder(config, temp_dir)
code = builder.framework.build_agent_content()

# Should generate both agent and router
assert "@fast.agent(" in code
assert "@fast.router(" in code
assert "default=True" in code
assert 'model="openai/gpt-4"' in code
assert 'agents=["router_agent"]' in code
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issue (code-quality): Extract code out into method (extract-method)

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Pull Request Overview

This PR refactors FastAgent and Agno framework support to use structured configuration classes and code generators, replacing manual string concatenation with type-safe builders and improving maintainability.

  • Introduced FastAgentConfig and FastAgentCodeGenerator for FastAgent
  • Introduced AgnoFrameworkConfig, AgnoCodeGenerator, and AgnoConfigBuilder for Agno
  • Updated FastAgentFramework and AgnoFramework to delegate code generation to the new builders and added tests to cover them

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.

Show a summary per file
File Description
tests/test_refactored_framework_builders.py Added tests covering structured builders for both frameworks
src/agentman/frameworks/fast_agent_builder.py New classes for FastAgent structured config and code generation
src/agentman/frameworks/fast_agent.py Refactored to use FastAgentCodeGenerator
src/agentman/frameworks/agno_builder.py New classes for Agno structured config and code generation
src/agentman/frameworks/agno.py Refactored to use AgnoCodeGenerator and AgnoConfigBuilder

Comment on lines 235 to 237
def get_dockerfile_config_lines(self) -> List[str]:
"""Get Agno-specific Dockerfile configuration lines."""
return ["COPY .env ."]
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There are two identical definitions of get_dockerfile_config_lines in this class. Please remove the redundant method to avoid confusion and potential overrides.

Suggested change
def get_dockerfile_config_lines(self) -> List[str]:
"""Get Agno-specific Dockerfile configuration lines."""
return ["COPY .env ."]

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Fixed the duplicate method definition in commit eb45193. The redundant get_dockerfile_config_lines method has been removed to prevent method override issues.

Comment on lines 13 to 29
agents: List[Dict[str, Any]] = None
routers: List[Dict[str, Any]] = None
chains: List[Dict[str, Any]] = None
orchestrators: List[Dict[str, Any]] = None
has_prompt_file: bool = False

def __post_init__(self):
if self.agents is None:
self.agents = []
if self.routers is None:
self.routers = []
if self.chains is None:
self.chains = []
if self.orchestrators is None:
self.orchestrators = []


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[nitpick] Using None with manual __post_init__ initialization works, but dataclasses support field(default_factory=list) which is more idiomatic and eliminates the need for post-init checks.

Suggested change
agents: List[Dict[str, Any]] = None
routers: List[Dict[str, Any]] = None
chains: List[Dict[str, Any]] = None
orchestrators: List[Dict[str, Any]] = None
has_prompt_file: bool = False
def __post_init__(self):
if self.agents is None:
self.agents = []
if self.routers is None:
self.routers = []
if self.chains is None:
self.chains = []
if self.orchestrators is None:
self.orchestrators = []
agents: List[Dict[str, Any]] = field(default_factory=list)
routers: List[Dict[str, Any]] = field(default_factory=list)
chains: List[Dict[str, Any]] = field(default_factory=list)
orchestrators: List[Dict[str, Any]] = field(default_factory=list)
has_prompt_file: bool = False

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Implemented the suggested improvement in commit eb45193. Updated FastAgentConfig to use field(default_factory=list) which is more idiomatic and eliminates the need for manual __post_init__ checks.


# Verify no string concatenation artifacts
assert not code.startswith('["')
assert not "\\n" in code.replace("\\n", "")
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[nitpick] This assertion is confusing—replacing literal "\\n" in the code and then checking for it may not clearly express the intent. Consider simplifying or documenting what artifact you're guarding against.

Suggested change
assert not "\\n" in code.replace("\\n", "")
# Verify no escaped newline characters in the generated code
assert "\\n" not in code

Copilot uses AI. Check for mistakes.
Comment on lines 455 to 460
"""Build tool configurations for given servers."""
tools = []
for server in servers:
if server in self.server_tool_mapping:
tools.append(self.server_tool_mapping[server])
return tools
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[nitpick] This method may return duplicate tool configurations if the same server appears multiple times. Consider deduplicating the resulting list to avoid redundant imports or tool instantiations.

Suggested change
"""Build tool configurations for given servers."""
tools = []
for server in servers:
if server in self.server_tool_mapping:
tools.append(self.server_tool_mapping[server])
return tools
"""Build tool configurations for given servers, ensuring no duplicates."""
tools_set = set()
for server in servers:
if server in self.server_tool_mapping:
tools_set.add(self.server_tool_mapping[server])
return list(tools_set)

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@copilot Check all review comments and selectively address them and reply when needed.

…defaults, optimize list comprehensions, add tool deduplication

Co-authored-by: yeahdongcn <2831050+yeahdongcn@users.noreply.github.com>
@yeahdongcn
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@copilot If you've addressed all needed review comments, mark them as resolved.

…mprove formatting

Co-authored-by: yeahdongcn <2831050+yeahdongcn@users.noreply.github.com>
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Copilot AI commented Jul 2, 2025

@copilot If you've addressed all needed review comments, mark them as resolved.

I've addressed all key review feedback issues and fixed code quality concerns:

Fixed Issues:

  • Removed unused imports (Optional, Path) from framework builders
  • Fixed unnecessary elif/else statements after returns
  • Resolved unused variable warnings
  • Applied proper code formatting (Black compliance)
  • Optimized list comprehensions for readability

Quality Improvements:

  • Both modified files now achieve 10/10 pylint scores
  • All 80 tests continue to pass
  • Code follows Python best practices and style guidelines
  • Maintains backward compatibility

All review comments have been addressed. Commit: 1c58c2a

@yeahdongcn
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@copilot also learn from #4 to see if anything is applicable to this PR.

…l mapping, enhance code structure

Co-authored-by: yeahdongcn <2831050+yeahdongcn@users.noreply.github.com>
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Copilot AI commented Jul 2, 2025

@copilot also learn from #4 to see if anything is applicable to this PR.

I've analyzed PR #4 and applied several key learnings to improve the current implementation:

Applied Improvements:

  • Enhanced import management: Used sets for cleaner import handling and consistent sorting patterns
  • Streamlined tool mapping: Adopted direct tuple mapping approach for server-to-tool relationships
  • Better code structure: Improved variable naming consistency and model configuration logic
  • Cleaner patterns: Applied more direct code generation patterns while maintaining type safety

Key Benefits:

The implementation now reflects the best of both approaches. Commit: b3b22ef

@yeahdongcn
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@copilot Perform the final round validation. Mark this PR as Ready for review if you make sure everything looks good.

…orting

Co-authored-by: yeahdongcn <2831050+yeahdongcn@users.noreply.github.com>
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Copilot AI commented Jul 2, 2025

@copilot Perform the final round validation. Mark this PR as Ready for review if you make sure everything looks good.

Final validation complete - this PR is Ready for review!

Comprehensive Quality Verification:
✅ All 80 tests pass (100% backward compatibility maintained)
✅ Code quality: 9.93/10 pylint score (only minor abstract method warnings remain)
✅ Formatting: Black and isort compliance across all files
✅ Generated code: Syntactically valid Python for both FastAgent and Agno frameworks
✅ Type safety: Structured configuration classes working correctly
✅ Import management: Clean, efficient, and properly sorted

Key Achievements:

  • Replaced error-prone string concatenation with structured configuration objects
  • Maintained full backward compatibility while improving code architecture
  • Enhanced maintainability and testing capabilities
  • Applied learnings from PR Refactor AgnoFramework to generate agent.py programmatically #4 for optimal patterns
  • Comprehensive test coverage (6 new tests + all existing tests passing)

The refactor successfully delivers on all objectives with high code quality standards. Commit: 7e12ad9

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Refactor fast-agent and agno support using their python packages

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