Fix issue #5591: Clean up unused code (#5592)

Co-authored-by: openhands <openhands@all-hands.dev>
This commit is contained in:
Engel Nyst 2024-12-16 08:22:21 +01:00 committed by GitHub
parent 590ebb6e47
commit ad822a31e1
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5 changed files with 6 additions and 55 deletions

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@ -14,7 +14,7 @@ Micro-agents are defined in markdown files under the `openhands/agenthub/codeact
## Available Micro-Agents
### GitHub Agent
**File**: `github.md`
**File**: `github.md`
**Triggers**: `github`, `git`
The GitHub agent specializes in GitHub API interactions and repository management. It:
@ -30,7 +30,7 @@ Key features:
- API-first approach for GitHub operations
### NPM Agent
**File**: `npm.md`
**File**: `npm.md`
**Triggers**: `npm`
Specializes in handling npm package management with specific focus on:

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@ -90,7 +90,7 @@ When working with a customized repository:
Example customized prompt:
```
Add a new task completion feature to src/components/TaskList.tsx following our existing component patterns.
Add a new task completion feature to src/components/TaskList.tsx following our existing component patterns.
Include unit tests in tests/components/ and update the documentation in docs/features/.
The component should use our shared styling from src/styles/components.
```

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@ -166,7 +166,9 @@ class CodeActAgent(Agent):
# Add the LLM message (assistant) that initiated the tool calls
# (overwrites any previous message with the same response_id)
logger.debug(f'Tool calls type: {type(assistant_msg.tool_calls)}, value: {assistant_msg.tool_calls}')
logger.debug(
f'Tool calls type: {type(assistant_msg.tool_calls)}, value: {assistant_msg.tool_calls}'
)
pending_tool_call_action_messages[llm_response.id] = Message(
role=assistant_msg.role,
# tool call content SHOULD BE a string

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@ -1,11 +1,9 @@
from openhands.core.schema.action import ActionType
from openhands.core.schema.agent import AgentState
from openhands.core.schema.config import ConfigType
from openhands.core.schema.observation import ObservationType
__all__ = [
'ActionType',
'ObservationType',
'ConfigType',
'AgentState',
]

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@ -1,49 +0,0 @@
from enum import Enum
class ConfigType(str, Enum):
# For frontend
AGENT = 'AGENT'
AGENT_MEMORY_ENABLED = 'AGENT_MEMORY_ENABLED'
AGENT_MEMORY_MAX_THREADS = 'AGENT_MEMORY_MAX_THREADS'
AWS_ACCESS_KEY_ID = 'AWS_ACCESS_KEY_ID'
AWS_REGION_NAME = 'AWS_REGION_NAME'
AWS_SECRET_ACCESS_KEY = 'AWS_SECRET_ACCESS_KEY'
BASE_CONTAINER_IMAGE = 'BASE_CONTAINER_IMAGE'
CACHE_DIR = 'CACHE_DIR'
CONFIRMATION_MODE = 'CONFIRMATION_MODE'
DEBUG = 'DEBUG'
DISABLE_COLOR = 'DISABLE_COLOR'
E2B_API_KEY = 'E2B_API_KEY'
FILE_UPLOADS_ALLOWED_EXTENSIONS = 'FILE_UPLOADS_ALLOWED_EXTENSIONS'
FILE_UPLOADS_MAX_FILE_SIZE_MB = 'FILE_UPLOADS_MAX_FILE_SIZE_MB'
FILE_UPLOADS_RESTRICT_FILE_TYPES = 'FILE_UPLOADS_RESTRICT_FILE_TYPES'
LLM_API_KEY = 'LLM_API_KEY'
LLM_API_VERSION = 'LLM_API_VERSION'
LLM_BASE_URL = 'LLM_BASE_URL'
LLM_CACHING_PROMPT = 'LLM_CACHING_PROMPT'
LLM_CUSTOM_LLM_PROVIDER = 'LLM_CUSTOM_LLM_PROVIDER'
LLM_DROP_PARAMS = 'LLM_DROP_PARAMS'
LLM_EMBEDDING_BASE_URL = 'LLM_EMBEDDING_BASE_URL'
LLM_EMBEDDING_DEPLOYMENT_NAME = 'LLM_EMBEDDING_DEPLOYMENT_NAME'
LLM_EMBEDDING_MODEL = 'LLM_EMBEDDING_MODEL'
LLM_MAX_INPUT_TOKENS = 'LLM_MAX_INPUT_TOKENS'
LLM_MAX_OUTPUT_TOKENS = 'LLM_MAX_OUTPUT_TOKENS'
LLM_MODEL = 'LLM_MODEL'
LLM_NUM_RETRIES = 'LLM_NUM_RETRIES'
LLM_RETRY_MAX_WAIT = 'LLM_RETRY_MAX_WAIT'
LLM_RETRY_MIN_WAIT = 'LLM_RETRY_MIN_WAIT'
LLM_TEMPERATURE = 'LLM_TEMPERATURE'
LLM_TIMEOUT = 'LLM_TIMEOUT'
LLM_TOP_P = 'LLM_TOP_P'
LLM_DISABLE_VISION = 'LLM_DISABLE_VISION'
MAX_ITERATIONS = 'MAX_ITERATIONS'
RUN_AS_OPENHANDS = 'RUN_AS_OPENHANDS'
SANDBOX_TIMEOUT = 'SANDBOX_TIMEOUT'
SANDBOX_USER_ID = 'SANDBOX_USER_ID'
SECURITY_ANALYZER = 'SECURITY_ANALYZER'
USE_HOST_NETWORK = 'USE_HOST_NETWORK'
WORKSPACE_BASE = 'WORKSPACE_BASE'
WORKSPACE_MOUNT_PATH = 'WORKSPACE_MOUNT_PATH'
WORKSPACE_MOUNT_PATH_IN_SANDBOX = 'WORKSPACE_MOUNT_PATH_IN_SANDBOX'
WORKSPACE_MOUNT_REWRITE = 'WORKSPACE_MOUNT_REWRITE'