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ci(docs): only generate autogen python docs on deploy (#1501)

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* ci(docs): only generate autogen python docs on deploy

* poetry

* workdir
This commit is contained in:
Alex Bäuerle
2024-05-02 11:29:41 -07:00
committed by GitHub
parent 04306b0219
commit d9ba45dae8
89 changed files with 36 additions and 3685 deletions
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13
.github/workflows/deploy-docs.yml vendored
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@@ -12,9 +12,6 @@ jobs:
build:
name: Build Docusaurus
runs-on: ubuntu-latest
defaults:
run:
working-directory: docs
steps:
- uses: actions/checkout@v4
with:
@@ -24,11 +21,17 @@ jobs:
node-version: 18
cache: npm
cache-dependency-path: docs/package-lock.json
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Generate Python Docs
run: rm -rf docs/modules/python && pip install pydoc-markdown && pydoc-markdown
- name: Install dependencies
run: npm ci
run: cd docs && npm ci
- name: Build website
run: npm run build
run: cd docs && npm run build
- name: Upload Build Artifact
if: github.ref == 'refs/heads/main'

5
dev_config/python/.pre-commit-config.yaml
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@@ -41,8 +41,3 @@ repos:
entry: mypy --config-file dev_config/python/mypy.ini opendevin/ agenthub/
always_run: true
pass_filenames: false
- repo: https://github.com/NiklasRosenstein/pydoc-markdown
rev: develop
hooks:
- id: pydoc-markdown

34
docs/modules/python/agenthub/SWE_agent/agent.md
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@@ -1,34 +0,0 @@
---
sidebar_label: agent
title: agenthub.SWE_agent.agent
---
## SWEAgent Objects
```python
class SWEAgent(Agent)
```
An attempt to recreate swe_agent with output parsing, prompting style, and Application Computer Interface (ACI).
SWE-agent includes ACI functions like 'goto', 'search_for', 'edit', 'scroll', 'run'
#### step
```python
def step(state: State) -> Action
```
SWE-Agent step:
1. Get context - past actions, custom commands, current step
2. Perform think-act - prompt model for action and reasoning
3. Catch errors - ensure model takes action (5 attempts max)
#### reset
```python
def reset() -> None
```
Used to reset the agent

34
docs/modules/python/agenthub/SWE_agent/parser.md
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@@ -1,34 +0,0 @@
---
sidebar_label: parser
title: agenthub.SWE_agent.parser
---
#### get\_action\_from\_string
```python
def get_action_from_string(command_string: str,
path: str,
line: int,
thoughts: str = '') -> Action | None
```
Parses the command string to find which command the agent wants to run
Converts the command into a proper Action and returns
#### parse\_command
```python
def parse_command(input_str: str, path: str, line: int)
```
Parses a given string and separates the command (enclosed in triple backticks) from any accompanying text.
**Arguments**:
- `input_str` _str_ - The input string to be parsed.
**Returns**:
- `tuple` - A tuple containing the command and the accompanying text (if any).

58
docs/modules/python/agenthub/codeact_agent/codeact_agent.md
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@@ -1,58 +0,0 @@
---
sidebar_label: codeact_agent
title: agenthub.codeact_agent.codeact_agent
---
#### truncate\_observation
```python
def truncate_observation(observation: str, max_chars: int = 5000) -> str
```
Truncate the middle of the observation if it is too long.
## CodeActAgent Objects
```python
class CodeActAgent(Agent)
```
The Code Act Agent is a minimalist agent.
The agent works by passing the model a list of action-observation pairs and prompting the model to take the next step.
#### \_\_init\_\_
```python
def __init__(llm: LLM) -> None
```
Initializes a new instance of the CodeActAgent class.
**Arguments**:
- llm (LLM): The llm to be used by this agent
#### step
```python
def step(state: State) -> Action
```
Performs one step using the Code Act Agent.
This includes gathering info on previous steps and prompting the model to make a command to execute.
**Arguments**:
- state (State): used to get updated info and background commands
**Returns**:
- CmdRunAction(command) - command action to run
- AgentEchoAction(content=INVALID_INPUT_MESSAGE) - invalid command output
**Raises**:
- NotImplementedError - for actions other than CmdOutputObservation or AgentMessageObservation

45
docs/modules/python/agenthub/delegator_agent/agent.md
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@@ -1,45 +0,0 @@
---
sidebar_label: agent
title: agenthub.delegator_agent.agent
---
## DelegatorAgent Objects
```python
class DelegatorAgent(Agent)
```
The planner agent utilizes a special prompting strategy to create long term plans for solving problems.
The agent is given its previous action-observation pairs, current task, and hint based on last action taken at every step.
#### \_\_init\_\_
```python
def __init__(llm: LLM)
```
Initialize the Delegator Agent with an LLM
**Arguments**:
- llm (LLM): The llm to be used by this agent
#### step
```python
def step(state: State) -> Action
```
Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, creates a plan prompt and sends to model for inference, returning the result as the next action.
**Arguments**:
- state (State): The current state given the previous actions and observations
**Returns**:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- Action: The next action to take based on llm response

14
docs/modules/python/agenthub/dummy_agent/agent.md
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@@ -1,14 +0,0 @@
---
sidebar_label: agent
title: agenthub.dummy_agent.agent
---
## DummyAgent Objects
```python
class DummyAgent(Agent)
```
The DummyAgent is used for e2e testing. It just sends the same set of actions deterministically,
without making any LLM calls.

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docs/modules/python/agenthub/micro/agent.md
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@@ -1,30 +0,0 @@
---
sidebar_label: agent
title: agenthub.micro.agent
---
#### my\_encoder
```python
def my_encoder(obj)
```
Encodes objects as dictionaries
**Arguments**:
- obj (Object): An object that will be converted
**Returns**:
- dict: If the object can be converted it is returned in dict format
#### to\_json
```python
def to_json(obj, **kwargs)
```
Serialize an object to str format

62
docs/modules/python/agenthub/monologue_agent/agent.md
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@@ -1,62 +0,0 @@
---
sidebar_label: agent
title: agenthub.monologue_agent.agent
---
## MonologueAgent Objects
```python
class MonologueAgent(Agent)
```
The Monologue Agent utilizes long and short term memory to complete tasks.
Long term memory is stored as a LongTermMemory object and the model uses it to search for examples from the past.
Short term memory is stored as a Monologue object and the model can condense it as necessary.
#### \_\_init\_\_
```python
def __init__(llm: LLM)
```
Initializes the Monologue Agent with an llm, monologue, and memory.
**Arguments**:
- llm (LLM): The llm to be used by this agent
#### step
```python
def step(state: State) -> Action
```
Modifies the current state by adding the most recent actions and observations, then prompts the model to think about it's next action to take using monologue, memory, and hint.
**Arguments**:
- state (State): The current state based on previous steps taken
**Returns**:
- Action: The next action to take based on LLM response
#### search\_memory
```python
def search_memory(query: str) -> List[str]
```
Uses VectorIndexRetriever to find related memories within the long term memory.
Uses search to produce top 10 results.
**Arguments**:
- query (str): The query that we want to find related memories for
**Returns**:
- List[str]: A list of top 10 text results that matched the query

38
docs/modules/python/agenthub/monologue_agent/utils/json.md
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@@ -1,38 +0,0 @@
---
sidebar_label: json
title: agenthub.monologue_agent.utils.json
---
#### my\_encoder
```python
def my_encoder(obj)
```
Encodes objects as dictionaries
**Arguments**:
- obj (Object): An object that will be converted
**Returns**:
- dict: If the object can be converted it is returned in dict format
#### dumps
```python
def dumps(obj, **kwargs)
```
Serialize an object to str format
#### loads
```python
def loads(s, **kwargs)
```
Create a JSON object from str

52
docs/modules/python/agenthub/monologue_agent/utils/memory.md
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@@ -1,52 +0,0 @@
---
sidebar_label: memory
title: agenthub.monologue_agent.utils.memory
---
## LongTermMemory Objects
```python
class LongTermMemory()
```
Responsible for storing information that the agent can call on later for better insights and context.
Uses chromadb to store and search through memories.
#### \_\_init\_\_
```python
def __init__()
```
Initialize the chromadb and set up ChromaVectorStore for later use.
#### add\_event
```python
def add_event(event: dict)
```
Adds a new event to the long term memory with a unique id.
**Arguments**:
- event (dict): The new event to be added to memory
#### search
```python
def search(query: str, k: int = 10)
```
Searches through the current memory using VectorIndexRetriever
**Arguments**:
- query (str): A query to match search results to
- k (int): Number of top results to return
**Returns**:
- List[str]: List of top k results found in current memory

80
docs/modules/python/agenthub/monologue_agent/utils/monologue.md
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@@ -1,80 +0,0 @@
---
sidebar_label: monologue
title: agenthub.monologue_agent.utils.monologue
---
## Monologue Objects
```python
class Monologue()
```
The monologue is a representation for the agent's internal monologue where it can think.
The agent has the capability of using this monologue for whatever it wants.
#### \_\_init\_\_
```python
def __init__()
```
Initialize the empty list of thoughts
#### add\_event
```python
def add_event(t: dict)
```
Adds an event to memory if it is a valid event.
**Arguments**:
- t (dict): The thought that we want to add to memory
**Raises**:
- AgentEventTypeError: If t is not a dict
#### get\_thoughts
```python
def get_thoughts()
```
Get the current thoughts of the agent.
**Returns**:
- List: The list of thoughts that the agent has.
#### get\_total\_length
```python
def get_total_length()
```
Gives the total number of characters in all thoughts
**Returns**:
- Int: Total number of chars in thoughts.
#### condense
```python
def condense(llm: LLM)
```
Attempts to condense the monologue by using the llm
**Arguments**:
- llm (LLM): llm to be used for summarization
**Raises**:
- Exception: the same exception as it got from the llm or processing the response

73
docs/modules/python/agenthub/monologue_agent/utils/prompts.md
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@@ -1,73 +0,0 @@
---
sidebar_label: prompts
title: agenthub.monologue_agent.utils.prompts
---
#### get\_summarize\_monologue\_prompt
```python
def get_summarize_monologue_prompt(thoughts: List[dict])
```
Gets the prompt for summarizing the monologue
**Returns**:
- str: A formatted string with the current monologue within the prompt
#### get\_request\_action\_prompt
```python
def get_request_action_prompt(
task: str,
thoughts: List[dict],
background_commands_obs: List[CmdOutputObservation] = [])
```
Gets the action prompt formatted with appropriate values.
**Arguments**:
- task (str): The current task the agent is trying to accomplish
- thoughts (List[dict]): The agent's current thoughts
- background_commands_obs (List[CmdOutputObservation]): List of all observed background commands running
**Returns**:
- str: Formatted prompt string with hint, task, monologue, and background included
#### parse\_action\_response
```python
def parse_action_response(response: str) -> Action
```
Parses a string to find an action within it
**Arguments**:
- response (str): The string to be parsed
**Returns**:
- Action: The action that was found in the response string
#### parse\_summary\_response
```python
def parse_summary_response(response: str) -> List[dict]
```
Parses a summary of the monologue
**Arguments**:
- response (str): The response string to be parsed
**Returns**:
- List[dict]: The list of summaries output by the model

45
docs/modules/python/agenthub/planner_agent/agent.md
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@@ -1,45 +0,0 @@
---
sidebar_label: agent
title: agenthub.planner_agent.agent
---
## PlannerAgent Objects
```python
class PlannerAgent(Agent)
```
The planner agent utilizes a special prompting strategy to create long term plans for solving problems.
The agent is given its previous action-observation pairs, current task, and hint based on last action taken at every step.
#### \_\_init\_\_
```python
def __init__(llm: LLM)
```
Initialize the Planner Agent with an LLM
**Arguments**:
- llm (LLM): The llm to be used by this agent
#### step
```python
def step(state: State) -> Action
```
Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, creates a plan prompt and sends to model for inference, returning the result as the next action.
**Arguments**:
- state (State): The current state given the previous actions and observations
**Returns**:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- Action: The next action to take based on llm response

49
docs/modules/python/agenthub/planner_agent/prompt.md
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@@ -1,49 +0,0 @@
---
sidebar_label: prompt
title: agenthub.planner_agent.prompt
---
#### get\_hint
```python
def get_hint(latest_action_id: str) -> str
```
Returns action type hint based on given action_id
#### get\_prompt
```python
def get_prompt(plan: Plan, history: List[Tuple[Action, Observation]]) -> str
```
Gets the prompt for the planner agent.
Formatted with the most recent action-observation pairs, current task, and hint based on last action
**Arguments**:
- plan (Plan): The original plan outlined by the user with LLM defined tasks
- history (List[Tuple[Action, Observation]]): List of corresponding action-observation pairs
**Returns**:
- str: The formatted string prompt with historical values
#### parse\_response
```python
def parse_response(response: str) -> Action
```
Parses the model output to find a valid action to take
**Arguments**:
- response (str): A response from the model that potentially contains an Action.
**Returns**:
- Action: A valid next action to perform from model output

9
docs/modules/python/opendevin/action/__init__.md
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@@ -1,9 +0,0 @@
---
sidebar_label: action
title: opendevin.action
---
#### ACTION\_TYPE\_TO\_CLASS
type: ignore[attr-defined]

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docs/modules/python/opendevin/action/base.md
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@@ -1,14 +0,0 @@
---
sidebar_label: base
title: opendevin.action.base
---
## NullAction Objects
```python
@dataclass
class NullAction(NotExecutableAction)
```
An action that does nothing.

16
docs/modules/python/opendevin/action/fileop.md
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@@ -1,16 +0,0 @@
---
sidebar_label: fileop
title: opendevin.action.fileop
---
## FileReadAction Objects
```python
@dataclass
class FileReadAction(ExecutableAction)
```
Reads a file from a given path.
Can be set to read specific lines using start and end
Default lines 0:-1 (whole file)

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docs/modules/python/opendevin/action/github.md
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@@ -1,46 +0,0 @@
---
sidebar_label: github
title: opendevin.action.github
---
## GitHubPushAction Objects
```python
@dataclass
class GitHubPushAction(ExecutableAction)
```
This pushes the current branch to github.
To use this, you need to set the GITHUB_TOKEN environment variable.
The agent will return a message with a URL that you can click to make a pull
request.
**Attributes**:
- `owner` - The owner of the source repo
- `repo` - The name of the source repo
- `branch` - The branch to push
- `action` - The action identifier
## GitHubSendPRAction Objects
```python
@dataclass
class GitHubSendPRAction(ExecutableAction)
```
An action to send a github PR.
To use this, you need to set the GITHUB_TOKEN environment variable.
**Attributes**:
- `owner` - The owner of the source repo
- `repo` - The name of the source repo
- `title` - The title of the PR
- `head` - The branch to send the PR from
- `head_repo` - The repo to send the PR from
- `base` - The branch to send the PR to
- `body` - The body of the PR

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docs/modules/python/opendevin/action/tasks.md
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@@ -1,14 +0,0 @@
---
sidebar_label: tasks
title: opendevin.action.tasks
---
## TaskStateChangedAction Objects
```python
@dataclass
class TaskStateChangedAction(NotExecutableAction)
```
Fake action, just to notify the client that a task state has changed.

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docs/modules/python/opendevin/agent.md
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@@ -1,121 +0,0 @@
---
sidebar_label: agent
title: opendevin.agent
---
## Agent Objects
```python
class Agent(ABC)
```
This abstract base class is an general interface for an agent dedicated to
executing a specific instruction and allowing human interaction with the
agent during execution.
It tracks the execution status and maintains a history of interactions.
#### complete
```python
@property
def complete() -> bool
```
Indicates whether the current instruction execution is complete.
**Returns**:
- complete (bool): True if execution is complete; False otherwise.
#### step
```python
@abstractmethod
def step(state: 'State') -> 'Action'
```
Starts the execution of the assigned instruction. This method should
be implemented by subclasses to define the specific execution logic.
#### search\_memory
```python
@abstractmethod
def search_memory(query: str) -> List[str]
```
Searches the agent's memory for information relevant to the given query.
**Arguments**:
- query (str): The query to search for in the agent's memory.
**Returns**:
- response (str): The response to the query.
#### reset
```python
def reset() -> None
```
Resets the agent's execution status and clears the history. This method can be used
to prepare the agent for restarting the instruction or cleaning up before destruction.
#### register
```python
@classmethod
def register(cls, name: str, agent_cls: Type['Agent'])
```
Registers an agent class in the registry.
**Arguments**:
- name (str): The name to register the class under.
- agent_cls (Type['Agent']): The class to register.
**Raises**:
- AgentAlreadyRegisteredError: If name already registered
#### get\_cls
```python
@classmethod
def get_cls(cls, name: str) -> Type['Agent']
```
Retrieves an agent class from the registry.
**Arguments**:
- name (str): The name of the class to retrieve
**Returns**:
- agent_cls (Type['Agent']): The class registered under the specified name.
**Raises**:
- AgentNotRegisteredError: If name not registered
#### list\_agents
```python
@classmethod
def list_agents(cls) -> list[str]
```
Retrieves the list of all agent names from the registry.
**Raises**:
- AgentNotRegisteredError: If no agent is registered

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docs/modules/python/opendevin/browser/browser_env.md
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@@ -1,20 +0,0 @@
---
sidebar_label: browser_env
title: opendevin.browser.browser_env
---
## BrowserEnv Objects
```python
class BrowserEnv()
```
#### image\_to\_png\_base64\_url
```python
@staticmethod
def image_to_png_base64_url(image: np.ndarray | Image.Image)
```
Convert a numpy array to a base64 encoded png image url.

13
docs/modules/python/opendevin/config.md
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@@ -1,13 +0,0 @@
---
sidebar_label: config
title: opendevin.config
---
#### get
```python
def get(key: ConfigType, required: bool = False)
```
Get a key from the environment variables or config.toml or default configs.

121
docs/modules/python/opendevin/controller/agent.md
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@@ -1,121 +0,0 @@
---
sidebar_label: agent
title: opendevin.controller.agent
---
## Agent Objects
```python
class Agent(ABC)
```
This abstract base class is an general interface for an agent dedicated to
executing a specific instruction and allowing human interaction with the
agent during execution.
It tracks the execution status and maintains a history of interactions.
#### complete
```python
@property
def complete() -> bool
```
Indicates whether the current instruction execution is complete.
**Returns**:
- complete (bool): True if execution is complete; False otherwise.
#### step
```python
@abstractmethod
def step(state: 'State') -> 'Action'
```
Starts the execution of the assigned instruction. This method should
be implemented by subclasses to define the specific execution logic.
#### search\_memory
```python
@abstractmethod
def search_memory(query: str) -> List[str]
```
Searches the agent's memory for information relevant to the given query.
**Arguments**:
- query (str): The query to search for in the agent's memory.
**Returns**:
- response (str): The response to the query.
#### reset
```python
def reset() -> None
```
Resets the agent's execution status and clears the history. This method can be used
to prepare the agent for restarting the instruction or cleaning up before destruction.
#### register
```python
@classmethod
def register(cls, name: str, agent_cls: Type['Agent'])
```
Registers an agent class in the registry.
**Arguments**:
- name (str): The name to register the class under.
- agent_cls (Type['Agent']): The class to register.
**Raises**:
- AgentAlreadyRegisteredError: If name already registered
#### get\_cls
```python
@classmethod
def get_cls(cls, name: str) -> Type['Agent']
```
Retrieves an agent class from the registry.
**Arguments**:
- name (str): The name of the class to retrieve
**Returns**:
- agent_cls (Type['Agent']): The class registered under the specified name.
**Raises**:
- AgentNotRegisteredError: If name not registered
#### list\_agents
```python
@classmethod
def list_agents(cls) -> list[str]
```
Retrieves the list of all agent names from the registry.
**Raises**:
- AgentNotRegisteredError: If no agent is registered

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docs/modules/python/opendevin/controller/agent_controller.md
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@@ -1,56 +0,0 @@
---
sidebar_label: agent_controller
title: opendevin.controller.agent_controller
---
## AgentController Objects
```python
class AgentController()
```
#### \_\_init\_\_
```python
def __init__(agent: Agent,
sid: str = 'default',
max_iterations: int = MAX_ITERATIONS,
max_chars: int = MAX_CHARS,
callbacks: List[Callable] = [])
```
Initializes a new instance of the AgentController class.
**Arguments**:
- `agent` - The agent instance to control.
- `sid` - The session ID of the agent.
- `max_iterations` - The maximum number of iterations the agent can run.
- `max_chars` - The maximum number of characters the agent can output.
- `callbacks` - A list of callback functions to run after each action.
#### setup\_task
```python
async def setup_task(task: str, inputs: dict = {})
```
Sets up the agent controller with a task.
#### start
```python
async def start(task: str)
```
Starts the agent controller with a task.
If task already run before, it will continue from the last step.
#### get\_task\_state
```python
def get_task_state()
```
Returns the current state of the agent task.

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docs/modules/python/opendevin/controller/state/plan.md
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@@ -1,182 +0,0 @@
---
sidebar_label: plan
title: opendevin.controller.state.plan
---
## Task Objects
```python
class Task()
```
#### \_\_init\_\_
```python
def __init__(parent: 'Task | None',
goal: str,
state: str = OPEN_STATE,
subtasks: List = [])
```
Initializes a new instance of the Task class.
**Arguments**:
- `parent` - The parent task, or None if it is the root task.
- `goal` - The goal of the task.
- `state` - The initial state of the task.
- `subtasks` - A list of subtasks associated with this task.
#### to\_string
```python
def to_string(indent='')
```
Returns a string representation of the task and its subtasks.
**Arguments**:
- `indent` - The indentation string for formatting the output.
**Returns**:
A string representation of the task and its subtasks.
#### to\_dict
```python
def to_dict()
```
Returns a dictionary representation of the task.
**Returns**:
A dictionary containing the task's attributes.
#### set\_state
```python
def set_state(state)
```
Sets the state of the task and its subtasks.
Args: state: The new state of the task.
**Raises**:
- `PlanInvalidStateError` - If the provided state is invalid.
#### get\_current\_task
```python
def get_current_task() -> 'Task | None'
```
Retrieves the current task in progress.
**Returns**:
The current task in progress, or None if no task is in progress.
## Plan Objects
```python
class Plan()
```
Represents a plan consisting of tasks.
**Attributes**:
- `main_goal` - The main goal of the plan.
- `task` - The root task of the plan.
#### \_\_init\_\_
```python
def __init__(task: str)
```
Initializes a new instance of the Plan class.
**Arguments**:
- `task` - The main goal of the plan.
#### \_\_str\_\_
```python
def __str__()
```
Returns a string representation of the plan.
**Returns**:
A string representation of the plan.
#### get\_task\_by\_id
```python
def get_task_by_id(id: str) -> Task
```
Retrieves a task by its ID.
**Arguments**:
- `id` - The ID of the task.
**Returns**:
The task with the specified ID.
**Raises**:
- `ValueError` - If the provided task ID is invalid or does not exist.
#### add\_subtask
```python
def add_subtask(parent_id: str, goal: str, subtasks: List = [])
```
Adds a subtask to a parent task.
**Arguments**:
- `parent_id` - The ID of the parent task.
- `goal` - The goal of the subtask.
- `subtasks` - A list of subtasks associated with the new subtask.
#### set\_subtask\_state
```python
def set_subtask_state(id: str, state: str)
```
Sets the state of a subtask.
**Arguments**:
- `id` - The ID of the subtask.
- `state` - The new state of the subtask.
#### get\_current\_task
```python
def get_current_task()
```
Retrieves the current task in progress.
**Returns**:
The current task in progress, or None if no task is in progress.

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---
sidebar_label: config
title: opendevin.core.config
---
#### get
```python
def get(key: ConfigType, required: bool = False)
```
Get a key from the environment variables or config.toml or default configs.

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---
sidebar_label: logger
title: opendevin.core.logger
---
#### get\_console\_handler
```python
def get_console_handler()
```
Returns a console handler for logging.
#### get\_file\_handler
```python
def get_file_handler()
```
Returns a file handler for logging.
#### log\_uncaught\_exceptions
```python
def log_uncaught_exceptions(ex_cls, ex, tb)
```
Logs uncaught exceptions along with the traceback.
**Arguments**:
- `ex_cls` _type_ - The type of the exception.
- `ex` _Exception_ - The exception instance.
- `tb` _traceback_ - The traceback object.
**Returns**:
None
## LlmFileHandler Objects
```python
class LlmFileHandler(logging.FileHandler)
```
__LLM prompt and response logging__
#### \_\_init\_\_
```python
def __init__(filename, mode='a', encoding='utf-8', delay=False)
```
Initializes an instance of LlmFileHandler.
**Arguments**:
- `filename` _str_ - The name of the log file.
- `mode` _str, optional_ - The file mode. Defaults to 'a'.
- `encoding` _str, optional_ - The file encoding. Defaults to None.
- `delay` _bool, optional_ - Whether to delay file opening. Defaults to False.
#### emit
```python
def emit(record)
```
Emits a log record.
**Arguments**:
- `record` _logging.LogRecord_ - The log record to emit.
#### get\_llm\_prompt\_file\_handler
```python
def get_llm_prompt_file_handler()
```
Returns a file handler for LLM prompt logging.
#### get\_llm\_response\_file\_handler
```python
def get_llm_response_file_handler()
```
Returns a file handler for LLM response logging.

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---
sidebar_label: main
title: opendevin.core.main
---
#### read\_task\_from\_file
```python
def read_task_from_file(file_path: str) -> str
```
Read task from the specified file.
#### read\_task\_from\_stdin
```python
def read_task_from_stdin() -> str
```
Read task from stdin.
#### main
```python
async def main(task_str: str = '')
```
Main coroutine to run the agent controller with task input flexibility.

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---
sidebar_label: action
title: opendevin.core.schema.action
---
## ActionTypeSchema Objects
```python
class ActionTypeSchema(BaseModel)
```
#### INIT
Initializes the agent. Only sent by client.
#### USER\_MESSAGE
Sends a message from the user. Only sent by the client.
#### START
Starts a new development task OR send chat from the user. Only sent by the client.
#### READ
Reads the content of a file.
#### WRITE
Writes the content to a file.
#### RUN
Runs a command.
#### RUN\_IPYTHON
Runs a IPython cell.
#### KILL
Kills a background command.
#### BROWSE
Opens a web page.
#### RECALL
Searches long-term memory
#### THINK
Allows the agent to make a plan, set a goal, or record thoughts
#### TALK
Allows the agent to respond to the user.
#### DELEGATE
Delegates a task to another agent.
#### FINISH
If you're absolutely certain that you've completed your task and have tested your work,
use the finish action to stop working.
#### PAUSE
Pauses the task.
#### RESUME
Resumes the task.
#### STOP
Stops the task. Must send a start action to restart a new task.
#### PUSH
Push a branch to github.
#### SEND\_PR
Send a PR to github.

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---
sidebar_label: observation
title: opendevin.core.schema.observation
---
## ObservationTypeSchema Objects
```python
class ObservationTypeSchema(BaseModel)
```
#### READ
The content of a file
#### BROWSE
The HTML content of a URL
#### RUN
The output of a command
#### RUN\_IPYTHON
Runs a IPython cell.
#### RECALL
The result of a search
#### CHAT
A message from the user
#### DELEGATE
The result of a task delegated to another agent

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---
sidebar_label: task
title: opendevin.core.schema.task
---
## TaskState Objects
```python
class TaskState(str, Enum)
```
#### INIT
Initial state of the task.
#### RUNNING
The task is running.
#### AWAITING\_USER\_INPUT
The task is awaiting user input.
#### PAUSED
The task is paused.
#### STOPPED
The task is stopped.
#### FINISHED
The task is finished.
#### ERROR
An error occurred during the task.
## TaskStateAction Objects
```python
class TaskStateAction(str, Enum)
```
#### START
Starts the task.
#### PAUSE
Pauses the task.
#### RESUME
Resumes the task.
#### STOP
Stops the task.

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---
sidebar_label: action
title: opendevin.events.action
---
#### ACTION\_TYPE\_TO\_CLASS
type: ignore[attr-defined]

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---
sidebar_label: empty
title: opendevin.events.action.empty
---
## NullAction Objects
```python
@dataclass
class NullAction(Action)
```
An action that does nothing.

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---
sidebar_label: files
title: opendevin.events.action.files
---
## FileReadAction Objects
```python
@dataclass
class FileReadAction(Action)
```
Reads a file from a given path.
Can be set to read specific lines using start and end
Default lines 0:-1 (whole file)

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---
sidebar_label: github
title: opendevin.events.action.github
---
## GitHubPushAction Objects
```python
@dataclass
class GitHubPushAction(Action)
```
This pushes the current branch to github.
To use this, you need to set the GITHUB_TOKEN environment variable.
The agent will return a message with a URL that you can click to make a pull
request.
**Attributes**:
- `owner` - The owner of the source repo
- `repo` - The name of the source repo
- `branch` - The branch to push
- `action` - The action identifier
## GitHubSendPRAction Objects
```python
@dataclass
class GitHubSendPRAction(Action)
```
An action to send a github PR.
To use this, you need to set the GITHUB_TOKEN environment variable.
**Attributes**:
- `owner` - The owner of the source repo
- `repo` - The name of the source repo
- `title` - The title of the PR
- `head` - The branch to send the PR from
- `head_repo` - The repo to send the PR from
- `base` - The branch to send the PR to
- `body` - The body of the PR

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---
sidebar_label: tasks
title: opendevin.events.action.tasks
---
## TaskStateChangedAction Objects
```python
@dataclass
class TaskStateChangedAction(Action)
```
Fake action, just to notify the client that a task state has changed.

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---
sidebar_label: observation
title: opendevin.events.observation
---
#### OBSERVATION\_TYPE\_TO\_CLASS
type: ignore[attr-defined]

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---
sidebar_label: browse
title: opendevin.events.observation.browse
---
## BrowserOutputObservation Objects
```python
@dataclass
class BrowserOutputObservation(Observation)
```
This data class represents the output of a browser.

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---
sidebar_label: commands
title: opendevin.events.observation.commands
---
## CmdOutputObservation Objects
```python
@dataclass
class CmdOutputObservation(Observation)
```
This data class represents the output of a command.
## IPythonRunCellObservation Objects
```python
@dataclass
class IPythonRunCellObservation(Observation)
```
This data class represents the output of a IPythonRunCellAction.

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---
sidebar_label: delegate
title: opendevin.events.observation.delegate
---
## AgentDelegateObservation Objects
```python
@dataclass
class AgentDelegateObservation(Observation)
```
This data class represents the result from delegating to another agent

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---
sidebar_label: empty
title: opendevin.events.observation.empty
---
## NullObservation Objects
```python
@dataclass
class NullObservation(Observation)
```
This data class represents a null observation.
This is used when the produced action is NOT executable.

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---
sidebar_label: error
title: opendevin.events.observation.error
---
## AgentErrorObservation Objects
```python
@dataclass
class AgentErrorObservation(Observation)
```
This data class represents an error encountered by the agent.

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---
sidebar_label: files
title: opendevin.events.observation.files
---
## FileReadObservation Objects
```python
@dataclass
class FileReadObservation(Observation)
```
This data class represents the content of a file.
## FileWriteObservation Objects
```python
@dataclass
class FileWriteObservation(Observation)
```
This data class represents a file write operation

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---
sidebar_label: message
title: opendevin.events.observation.message
---
## UserMessageObservation Objects
```python
@dataclass
class UserMessageObservation(Observation)
```
This data class represents a message sent by the user.
## AgentMessageObservation Objects
```python
@dataclass
class AgentMessageObservation(Observation)
```
This data class represents a message sent by the agent.

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---
sidebar_label: observation
title: opendevin.events.observation.observation
---
## Observation Objects
```python
@dataclass
class Observation(Event)
```
#### to\_memory
```python
def to_memory() -> dict
```
Converts the observation to a dictionary.

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---
sidebar_label: recall
title: opendevin.events.observation.recall
---
## AgentRecallObservation Objects
```python
@dataclass
class AgentRecallObservation(Observation)
```
This data class represents a list of memories recalled by the agent.

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---
sidebar_label: files
title: opendevin.files
---
## WorkspaceFile Objects
```python
class WorkspaceFile()
```
#### to\_dict
```python
def to_dict() -> Dict[str, Any]
```
Converts the File object to a dictionary.
**Returns**:
The dictionary representation of the File object.
#### get\_folder\_structure
```python
def get_folder_structure(workdir: Path) -> WorkspaceFile
```
Gets the folder structure of a directory.
**Arguments**:
- `workdir` - The directory path.
**Returns**:
The folder structure.

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---
sidebar_label: llm
title: opendevin.llm.llm
---
## LLM Objects
```python
class LLM()
```
The LLM class represents a Language Model instance.
#### \_\_init\_\_
```python
def __init__(model=DEFAULT_MODEL_NAME,
api_key=DEFAULT_API_KEY,
base_url=DEFAULT_BASE_URL,
api_version=DEFAULT_API_VERSION,
num_retries=LLM_NUM_RETRIES,
retry_min_wait=LLM_RETRY_MIN_WAIT,
retry_max_wait=LLM_RETRY_MAX_WAIT,
llm_timeout=LLM_TIMEOUT,
llm_max_return_tokens=LLM_MAX_RETURN_TOKENS)
```
**Arguments**:
- `model` _str, optional_ - The name of the language model. Defaults to LLM_MODEL.
- `api_key` _str, optional_ - The API key for accessing the language model. Defaults to LLM_API_KEY.
- `base_url` _str, optional_ - The base URL for the language model API. Defaults to LLM_BASE_URL. Not necessary for OpenAI.
- `api_version` _str, optional_ - The version of the API to use. Defaults to LLM_API_VERSION. Not necessary for OpenAI.
- `num_retries` _int, optional_ - The number of retries for API calls. Defaults to LLM_NUM_RETRIES.
- `retry_min_wait` _int, optional_ - The minimum time to wait between retries in seconds. Defaults to LLM_RETRY_MIN_TIME.
- `retry_max_wait` _int, optional_ - The maximum time to wait between retries in seconds. Defaults to LLM_RETRY_MAX_TIME.
- `llm_timeout` _int, optional_ - The maximum time to wait for a response in seconds. Defaults to LLM_TIMEOUT.
- `llm_max_return_tokens` _int, optional_ - The maximum number of tokens to return. Defaults to LLM_MAX_RETURN_TOKENS.
**Attributes**:
- `model_name` _str_ - The name of the language model.
- `api_key` _str_ - The API key for accessing the language model.
- `base_url` _str_ - The base URL for the language model API.
- `api_version` _str_ - The version of the API to use.
#### completion
```python
@property
def completion()
```
Decorator for the litellm completion function.

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---
sidebar_label: logger
title: opendevin.logger
---
#### get\_console\_handler
```python
def get_console_handler()
```
Returns a console handler for logging.
#### get\_file\_handler
```python
def get_file_handler()
```
Returns a file handler for logging.
#### log\_uncaught\_exceptions
```python
def log_uncaught_exceptions(ex_cls, ex, tb)
```
Logs uncaught exceptions along with the traceback.
**Arguments**:
- `ex_cls` _type_ - The type of the exception.
- `ex` _Exception_ - The exception instance.
- `tb` _traceback_ - The traceback object.
**Returns**:
None
## LlmFileHandler Objects
```python
class LlmFileHandler(logging.FileHandler)
```
__LLM prompt and response logging__
#### \_\_init\_\_
```python
def __init__(filename, mode='a', encoding='utf-8', delay=False)
```
Initializes an instance of LlmFileHandler.
**Arguments**:
- `filename` _str_ - The name of the log file.
- `mode` _str, optional_ - The file mode. Defaults to 'a'.
- `encoding` _str, optional_ - The file encoding. Defaults to None.
- `delay` _bool, optional_ - Whether to delay file opening. Defaults to False.
#### emit
```python
def emit(record)
```
Emits a log record.
**Arguments**:
- `record` _logging.LogRecord_ - The log record to emit.
#### get\_llm\_prompt\_file\_handler
```python
def get_llm_prompt_file_handler()
```
Returns a file handler for LLM prompt logging.
#### get\_llm\_response\_file\_handler
```python
def get_llm_response_file_handler()
```
Returns a file handler for LLM response logging.

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---
sidebar_label: main
title: opendevin.main
---
#### read\_task\_from\_file
```python
def read_task_from_file(file_path: str) -> str
```
Read task from the specified file.
#### read\_task\_from\_stdin
```python
def read_task_from_stdin() -> str
```
Read task from stdin.
#### main
```python
async def main(task_str: str = '')
```
Main coroutine to run the agent controller with task input flexibility.

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---
sidebar_label: observation
title: opendevin.observation
---
#### OBSERVATION\_TYPE\_TO\_CLASS
type: ignore[attr-defined]

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---
sidebar_label: base
title: opendevin.observation.base
---
## Observation Objects
```python
@dataclass
class Observation()
```
This data class represents an observation of the environment.
#### to\_dict
```python
def to_dict() -> dict
```
Converts the observation to a dictionary and adds user message.
#### to\_memory
```python
def to_memory() -> dict
```
Converts the observation to a dictionary.
#### message
```python
@property
def message() -> str
```
Returns a message describing the observation.
## NullObservation Objects
```python
@dataclass
class NullObservation(Observation)
```
This data class represents a null observation.
This is used when the produced action is NOT executable.

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---
sidebar_label: browse
title: opendevin.observation.browse
---
## BrowserOutputObservation Objects
```python
@dataclass
class BrowserOutputObservation(Observation)
```
This data class represents the output of a browser.

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---
sidebar_label: delegate
title: opendevin.observation.delegate
---
## AgentDelegateObservation Objects
```python
@dataclass
class AgentDelegateObservation(Observation)
```
This data class represents a delegate observation.
This is used when the produced action is NOT executable.

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---
sidebar_label: error
title: opendevin.observation.error
---
## AgentErrorObservation Objects
```python
@dataclass
class AgentErrorObservation(Observation)
```
This data class represents an error encountered by the agent.

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---
sidebar_label: files
title: opendevin.observation.files
---
## FileReadObservation Objects
```python
@dataclass
class FileReadObservation(Observation)
```
This data class represents the content of a file.
## FileWriteObservation Objects
```python
@dataclass
class FileWriteObservation(Observation)
```
This data class represents a file write operation

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---
sidebar_label: message
title: opendevin.observation.message
---
## UserMessageObservation Objects
```python
@dataclass
class UserMessageObservation(Observation)
```
This data class represents a message sent by the user.
## AgentMessageObservation Objects
```python
@dataclass
class AgentMessageObservation(Observation)
```
This data class represents a message sent by the agent.

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---
sidebar_label: recall
title: opendevin.observation.recall
---
## AgentRecallObservation Objects
```python
@dataclass
class AgentRecallObservation(Observation)
```
This data class represents a list of memories recalled by the agent.

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---
sidebar_label: run
title: opendevin.observation.run
---
## CmdOutputObservation Objects
```python
@dataclass
class CmdOutputObservation(Observation)
```
This data class represents the output of a command.
## IPythonRunCellObservation Objects
```python
@dataclass
class IPythonRunCellObservation(Observation)
```
This data class represents the output of a IPythonRunCellAction.

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---
sidebar_label: plan
title: opendevin.plan
---
## Task Objects
```python
class Task()
```
#### \_\_init\_\_
```python
def __init__(parent: 'Task | None',
goal: str,
state: str = OPEN_STATE,
subtasks: List = [])
```
Initializes a new instance of the Task class.
**Arguments**:
- `parent` - The parent task, or None if it is the root task.
- `goal` - The goal of the task.
- `state` - The initial state of the task.
- `subtasks` - A list of subtasks associated with this task.
#### to\_string
```python
def to_string(indent='')
```
Returns a string representation of the task and its subtasks.
**Arguments**:
- `indent` - The indentation string for formatting the output.
**Returns**:
A string representation of the task and its subtasks.
#### to\_dict
```python
def to_dict()
```
Returns a dictionary representation of the task.
**Returns**:
A dictionary containing the task's attributes.
#### set\_state
```python
def set_state(state)
```
Sets the state of the task and its subtasks.
Args: state: The new state of the task.
**Raises**:
- `PlanInvalidStateError` - If the provided state is invalid.
#### get\_current\_task
```python
def get_current_task() -> 'Task | None'
```
Retrieves the current task in progress.
**Returns**:
The current task in progress, or None if no task is in progress.
## Plan Objects
```python
class Plan()
```
Represents a plan consisting of tasks.
**Attributes**:
- `main_goal` - The main goal of the plan.
- `task` - The root task of the plan.
#### \_\_init\_\_
```python
def __init__(task: str)
```
Initializes a new instance of the Plan class.
**Arguments**:
- `task` - The main goal of the plan.
#### \_\_str\_\_
```python
def __str__()
```
Returns a string representation of the plan.
**Returns**:
A string representation of the plan.
#### get\_task\_by\_id
```python
def get_task_by_id(id: str) -> Task
```
Retrieves a task by its ID.
**Arguments**:
- `id` - The ID of the task.
**Returns**:
The task with the specified ID.
**Raises**:
- `ValueError` - If the provided task ID is invalid or does not exist.
#### add\_subtask
```python
def add_subtask(parent_id: str, goal: str, subtasks: List = [])
```
Adds a subtask to a parent task.
**Arguments**:
- `parent_id` - The ID of the parent task.
- `goal` - The goal of the subtask.
- `subtasks` - A list of subtasks associated with the new subtask.
#### set\_subtask\_state
```python
def set_subtask_state(id: str, state: str)
```
Sets the state of a subtask.
**Arguments**:
- `id` - The ID of the subtask.
- `state` - The new state of the subtask.
#### get\_current\_task
```python
def get_current_task()
```
Retrieves the current task in progress.
**Returns**:
The current task in progress, or None if no task is in progress.

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---
sidebar_label: browser_env
title: opendevin.runtime.browser.browser_env
---
## BrowserEnv Objects
```python
class BrowserEnv()
```
#### image\_to\_png\_base64\_url
```python
@staticmethod
def image_to_png_base64_url(image: np.ndarray | Image.Image)
```
Convert a numpy array to a base64 encoded png image url.

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---
sidebar_label: sandbox
title: opendevin.runtime.e2b.sandbox
---
## E2BBox Objects
```python
class E2BBox(Sandbox)
```
#### copy\_to
```python
def copy_to(host_src: str, sandbox_dest: str, recursive: bool = False)
```
Copies a local file or directory to the sandbox.

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@@ -1,40 +0,0 @@
---
sidebar_label: files
title: opendevin.runtime.files
---
## WorkspaceFile Objects
```python
class WorkspaceFile()
```
#### to\_dict
```python
def to_dict() -> Dict[str, Any]
```
Converts the File object to a dictionary.
**Returns**:
The dictionary representation of the File object.
#### get\_folder\_structure
```python
def get_folder_structure(workdir: Path) -> WorkspaceFile
```
Gets the folder structure of a directory.
**Arguments**:
- `workdir` - The directory path.
**Returns**:
The folder structure.

16
docs/modules/python/opendevin/runtime/plugins/jupyter/__init__.md
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@@ -1,16 +0,0 @@
---
sidebar_label: jupyter
title: opendevin.runtime.plugins.jupyter
---
## JupyterRequirement Objects
```python
@dataclass
class JupyterRequirement(PluginRequirement)
```
#### host\_src
The directory of this file (sandbox/plugins/jupyter)

21
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@@ -1,21 +0,0 @@
---
sidebar_label: mixin
title: opendevin.runtime.plugins.mixin
---
## PluginMixin Objects
```python
class PluginMixin()
```
Mixin for Sandbox to support plugins.
#### init\_plugins
```python
def init_plugins(requirements: List[PluginRequirement])
```
Load a plugin into the sandbox.

14
docs/modules/python/opendevin/runtime/plugins/requirement.md
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@@ -1,14 +0,0 @@
---
sidebar_label: requirement
title: opendevin.runtime.plugins.requirement
---
## PluginRequirement Objects
```python
@dataclass
class PluginRequirement()
```
Requirement for a plugin.

13
docs/modules/python/opendevin/runtime/utils/system.md
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@@ -1,13 +0,0 @@
---
sidebar_label: system
title: opendevin.runtime.utils.system
---
#### find\_available\_tcp\_port
```python
def find_available_tcp_port() -> int
```
Find an available TCP port, return -1 if none available.

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19
docs/modules/python/opendevin/sandbox/e2b/sandbox.md
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@@ -1,19 +0,0 @@
---
sidebar_label: sandbox
title: opendevin.sandbox.e2b.sandbox
---
## E2BBox Objects
```python
class E2BBox(Sandbox)
```
#### copy\_to
```python
def copy_to(host_src: str, sandbox_dest: str, recursive: bool = False)
```
Copies a local file or directory to the sandbox.

16
docs/modules/python/opendevin/sandbox/plugins/jupyter/__init__.md
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@@ -1,16 +0,0 @@
---
sidebar_label: jupyter
title: opendevin.sandbox.plugins.jupyter
---
## JupyterRequirement Objects
```python
@dataclass
class JupyterRequirement(PluginRequirement)
```
#### host\_src
The directory of this file (sandbox/plugins/jupyter)

21
docs/modules/python/opendevin/sandbox/plugins/mixin.md
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@@ -1,21 +0,0 @@
---
sidebar_label: mixin
title: opendevin.sandbox.plugins.mixin
---
## PluginMixin Objects
```python
class PluginMixin()
```
Mixin for Sandbox to support plugins.
#### init\_plugins
```python
def init_plugins(requirements: List[PluginRequirement])
```
Load a plugin into the sandbox.

14
docs/modules/python/opendevin/sandbox/plugins/requirement.md
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@@ -1,14 +0,0 @@
---
sidebar_label: requirement
title: opendevin.sandbox.plugins.requirement
---
## PluginRequirement Objects
```python
@dataclass
class PluginRequirement()
```
Requirement for a plugin.

88
docs/modules/python/opendevin/schema/action.md
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@@ -1,88 +0,0 @@
---
sidebar_label: action
title: opendevin.schema.action
---
## ActionTypeSchema Objects
```python
class ActionTypeSchema(BaseModel)
```
#### INIT
Initializes the agent. Only sent by client.
#### USER\_MESSAGE
Sends a message from the user. Only sent by the client.
#### START
Starts a new development task OR send chat from the user. Only sent by the client.
#### READ
Reads the content of a file.
#### WRITE
Writes the content to a file.
#### RUN
Runs a command.
#### RUN\_IPYTHON
Runs a IPython cell.
#### KILL
Kills a background command.
#### BROWSE
Opens a web page.
#### RECALL
Searches long-term memory
#### THINK
Allows the agent to make a plan, set a goal, or record thoughts
#### TALK
Allows the agent to respond to the user.
#### DELEGATE
Delegates a task to another agent.
#### FINISH
If you're absolutely certain that you've completed your task and have tested your work,
use the finish action to stop working.
#### PAUSE
Pauses the task.
#### RESUME
Resumes the task.
#### STOP
Stops the task. Must send a start action to restart a new task.
#### PUSH
Push a branch to github.
#### SEND\_PR
Send a PR to github.

39
docs/modules/python/opendevin/schema/observation.md
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@@ -1,39 +0,0 @@
---
sidebar_label: observation
title: opendevin.schema.observation
---
## ObservationTypeSchema Objects
```python
class ObservationTypeSchema(BaseModel)
```
#### READ
The content of a file
#### BROWSE
The HTML content of a URL
#### RUN
The output of a command
#### RUN\_IPYTHON
Runs a IPython cell.
#### RECALL
The result of a search
#### CHAT
A message from the user
#### DELEGATE
The result of a task delegated to another agent

61
docs/modules/python/opendevin/schema/task.md
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@@ -1,61 +0,0 @@
---
sidebar_label: task
title: opendevin.schema.task
---
## TaskState Objects
```python
class TaskState(str, Enum)
```
#### INIT
Initial state of the task.
#### RUNNING
The task is running.
#### AWAITING\_USER\_INPUT
The task is awaiting user input.
#### PAUSED
The task is paused.
#### STOPPED
The task is stopped.
#### FINISHED
The task is finished.
#### ERROR
An error occurred during the task.
## TaskStateAction Objects
```python
class TaskStateAction(str, Enum)
```
#### START
Starts the task.
#### PAUSE
Pauses the task.
#### RESUME
Resumes the task.
#### STOP
Stops the task.

132
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@@ -1,132 +0,0 @@
---
sidebar_label: agent
title: opendevin.server.agent.agent
---
## AgentUnit Objects
```python
class AgentUnit()
```
Represents a session with an agent.
**Attributes**:
- `controller` - The AgentController instance for controlling the agent.
- `agent_task` - The task representing the agent's execution.
#### \_\_init\_\_
```python
def __init__(sid)
```
Initializes a new instance of the Session class.
#### send\_error
```python
async def send_error(message)
```
Sends an error message to the client.
**Arguments**:
- `message` - The error message to send.
#### send\_message
```python
async def send_message(message)
```
Sends a message to the client.
**Arguments**:
- `message` - The message to send.
#### send
```python
async def send(data)
```
Sends data to the client.
**Arguments**:
- `data` - The data to send.
#### dispatch
```python
async def dispatch(action: str | None, data: dict)
```
Dispatches actions to the agent from the client.
#### get\_arg\_or\_default
```python
def get_arg_or_default(_args: dict, key: ConfigType) -> str
```
Gets an argument from the args dictionary or the default value.
**Arguments**:
- `_args` - The args dictionary.
- `key` - The key to get.
**Returns**:
The value of the key or the default value.
#### create\_controller
```python
async def create_controller(start_event: dict)
```
Creates an AgentController instance.
**Arguments**:
- `start_event` - The start event data (optional).
#### start\_task
```python
async def start_task(start_event)
```
Starts a task for the agent.
**Arguments**:
- `start_event` - The start event data.
#### set\_task\_state
```python
async def set_task_state(new_state_action: TaskStateAction)
```
Sets the state of the agent task.
#### on\_agent\_event
```python
async def on_agent_event(event: Observation | Action)
```
Callback function for agent events.
**Arguments**:
- `event` - The agent event (Observation or Action).

31
docs/modules/python/opendevin/server/agent/manager.md
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@@ -1,31 +0,0 @@
---
sidebar_label: manager
title: opendevin.server.agent.manager
---
## AgentManager Objects
```python
class AgentManager()
```
#### register\_agent
```python
def register_agent(sid: str)
```
Registers a new agent.
**Arguments**:
- `sid` - The session ID of the agent.
#### dispatch
```python
async def dispatch(sid: str, action: str | None, data: dict)
```
Dispatches actions to the agent from the client.

30
docs/modules/python/opendevin/server/auth/auth.md
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@@ -1,30 +0,0 @@
---
sidebar_label: auth
title: opendevin.server.auth.auth
---
#### get\_sid\_from\_token
```python
def get_sid_from_token(token: str) -> str
```
Retrieves the session id from a JWT token.
**Arguments**:
- `token` _str_ - The JWT token from which the session id is to be extracted.
**Returns**:
- `str` - The session id if found and valid, otherwise an empty string.
#### sign\_token
```python
def sign_token(payload: Dict[str, object]) -> str
```
Signs a JWT token.

34
docs/modules/python/opendevin/server/listen.md
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@@ -1,34 +0,0 @@
---
sidebar_label: listen
title: opendevin.server.listen
---
#### get\_litellm\_models
```python
@app.get('/api/litellm-models')
async def get_litellm_models()
```
Get all models supported by LiteLLM.
#### get\_agents
```python
@app.get('/api/agents')
async def get_agents()
```
Get all agents supported by LiteLLM.
#### get\_token
```python
@app.get('/api/auth')
async def get_token(
credentials: HTTPAuthorizationCredentials = Depends(security_scheme))
```
Generate a JWT for authentication when starting a WebSocket connection. This endpoint checks if valid credentials
are provided and uses them to get a session ID. If no valid credentials are provided, it generates a new session ID.

35
docs/modules/python/opendevin/server/session/manager.md
View File

@@ -1,35 +0,0 @@
---
sidebar_label: manager
title: opendevin.server.session.manager
---
## SessionManager Objects
```python
class SessionManager()
```
#### send
```python
async def send(sid: str, data: Dict[str, object]) -> bool
```
Sends data to the client.
#### send\_error
```python
async def send_error(sid: str, message: str) -> bool
```
Sends an error message to the client.
#### send\_message
```python
async def send_message(sid: str, message: str) -> bool
```
Sends a message to the client.

15
docs/modules/python/opendevin/server/session/msg_stack.md
View File

@@ -1,15 +0,0 @@
---
sidebar_label: msg_stack
title: opendevin.server.session.msg_stack
---
## Message Objects
```python
class Message()
```
#### role
"user"| "assistant"

27
docs/modules/python/opendevin/server/session/session.md
View File

@@ -1,27 +0,0 @@
---
sidebar_label: session
title: opendevin.server.session.session
---
## Session Objects
```python
class Session()
```
#### send\_error
```python
async def send_error(message: str) -> bool
```
Sends an error message to the client.
#### send\_message
```python
async def send_message(message: str) -> bool
```
Sends a message to the client.

13
docs/modules/python/opendevin/utils/system.md
View File

@@ -1,13 +0,0 @@
---
sidebar_label: system
title: opendevin.utils.system
---
#### find\_available\_tcp\_port
```python
def find_available_tcp_port() -> int
```
Find an available TCP port, return -1 if none available.

3
docs/modules/python/python.md Normal file
View File

@@ -0,0 +1,3 @@
# Python Docs
Docs will appear here after deployment.

232
docs/modules/python/sidebar.json
View File

@@ -1,233 +1,5 @@
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"type": "category"
}
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"type": "category"
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350
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@@ -322,50 +322,6 @@ charset-normalizer = ["charset-normalizer"]
html5lib = ["html5lib"]
lxml = ["lxml"]
[[package]]
name = "black"
version = "23.12.1"
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optional = false
python-versions = ">=3.8"
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[package.dependencies]
click = ">=8.0.0"
mypy-extensions = ">=0.4.3"
packaging = ">=22.0"
pathspec = ">=0.9.0"
platformdirs = ">=2"
[package.extras]
colorama = ["colorama (>=0.4.3)"]
d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
uvloop = ["uvloop (>=0.15.2)"]
[[package]]
name = "blinker"
version = "1.8.1"
@@ -1006,52 +962,6 @@ files = [
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
tests = ["pytest", "pytest-cov", "pytest-xdist"]
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ssh = ["paramiko (>=2.4.3)"]
websockets = ["websocket-client (>=1.3.0)"]
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python-versions = ">=3.6"
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@@ -2024,13 +1889,13 @@ socks = ["socksio (==1.*)"]
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version = "0.23.0"
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typing-extensions = ">=3.7.4.3"
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hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp", "minijinja (>=1.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
@@ -2172,13 +2037,13 @@ i18n = ["Babel (>=2.7)"]
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version = "1.4.2"
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python-versions = ">=3.8"
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@@ -2372,13 +2237,13 @@ types-tqdm = "*"
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@@ -3034,13 +2898,13 @@ files = [
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python-versions = ">=3.8"
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@@ -3048,7 +2912,7 @@ packaging = ">=17.0"
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@@ -3533,43 +3397,6 @@ files = [
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setuptools = "*"
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@@ -3816,13 +3643,13 @@ sympy = "*"
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yapf = ">=0.30.0"
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@@ -5818,28 +5607,6 @@ files = [
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@@ -6791,4 +6487,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
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1
pyproject.toml
View File

@@ -41,7 +41,6 @@ llama-index-embeddings-ollama = "*"
ruff = "0.3.7"
mypy = "1.9.0"
pre-commit = "3.7.0"
pydoc-markdown = "^4.8.2"
[tool.poetry.group.test.dependencies]
pytest = "*"