ocla 0.1.2

CLI coding agent with Ollama support

ocla: CLI Coding Agent

A hobby project implementing an experimental command-line coding agent. Use it to generate code, analyze repositories, and manage development tasks directly from your terminal.

Warning: This is experimental software and may be unstable or incomplete. Use at your own risk. Functionality, performance, and APIs are subject to change without notice.

Features

• Ollama-first; local LLM support.
• OpenAI support for more powerful models.
• Session management and context usage tracking.
• Project-centric storage and configuration.
• Support for Linux & Windows.

Dependencies & Installation

ocla can be installed through uv:

uv pip install --system ocla

Ollama

ocla integrates with Ollama to run models locally.

Download & install ollama, then download a model:

ollama pull qwen3

And start the Ollama API:

ollama serve

Then confirm that we can connect:

ocla model list

You can tweak the ollama_host setting described below to direct ocla to the correct endpoint. By default, ocla expects ollama to be running at http://localhost:11434. ocla will respect the OLLAMA_HOST environment variable if ollama_host is not configured.

OpenAI

You will need to configure ocla via the provider and openai_api_key settings described below.

Usage

Simply running ocla will initiate prompt input to give instructions to the agent. Prompts can also be fed from stdin.

echo "find a bug for me" | ocla

ocla utilizes sessions to iterate on tasks, with a new session automatically created if one is not already active. By default, running ocla will use the same session as previous invocations. You can force a new session with the -n flag:

echo "This is a fresh conversation" | ocla -n 

The current session is stored in ./.ocla/state.json, and available sessions can be managed:

ocla session list               # show all saved sessions
ocla session set <session-name> # make <session-name> the active session.

WARNING: session data itself (including your prompts) is stored in ./.ocla/sessions. Empty this directory to do a hard delete of your conversations. You should add .ocla to your .gitignore to ensure this data is never stored in VCS.

By default, ocla will continue to offer prompt interactively until you explicitly quit (q). You can change this to have ocla read a single prompt then quit with the -pm flag (see prompt_mode below):

echo "how do i define a type in typescript?" | ocla -n -pm ONESHOT

Configuration

ocla supports configuration through three sources, in the following order of precedence (highest to lowest):

• Command-line arguments
• Environment variables
• Configuration file – .ocla/config.json in the current working directory

Each configuration setting specifies which of these sources it supports.

config_file

Path to the config file

• CLI: N/A
• Environment variable: OCLA_CONFIG_FILE
• Config file: N/A
• Default value: ./.ocla/config.json

context_window

Context window size in tokens

• CLI: N/A
• Environment variable: OCLA_CONTEXT_WINDOW
• Config file: contextWindow
• Default value: 16384

log_level

Log level

• CLI: N/A
• Environment variable: OCLA_LOG_LEVEL
• Config file: logLevel
• Default value: WARNING
• Allowed values:
  • CRITICAL
  • ERROR
  • WARNING
  • INFO
  • DEBUG

model

The model to use for agent inference. Must be available in the Ollama API

• CLI: -m --model
• Environment variable: OCLA_MODEL
• Config file: model
• Default value: qwen3

ollama_host

Override the OLLAMA_HOST for the Ollama API

• CLI: N/A
• Environment variable: OCLA_OLLAMA_HOST
• Config file: ollamaHost
• Default value: N/A

openai_api_key

Override the OPENAI_API_KEY for OpenAI calls. Ocla will fall back to OPENAI_API_KEY.

• CLI: N/A
• Environment variable: OCLA_OPENAI_API_KEY
• Config file: openaiApiKey
• Default value: N/A

project_context_file

the relative path to a file that gives ocla more context about your project (case-insensitive)

• CLI: N/A
• Environment variable: OCLA_PROJECT_CONTEXT_FILE
• Config file: projectContextFiles
• Default value: AGENTS.md

prompt_mode

How you want to interact with the assistant

• CLI: -pm --prompt-mode
• Environment variable: OCLA_PROMPT_MODE
• Config file: promptMode
• Default value: INTERACTIVE
• Allowed values:
  • ONESHOT: The program quits after a single prompt
  • INTERACTIVE: You issue prompts until quit

provider

Model provider to use

• CLI: -p --provider
• Environment variable: OCLA_PROVIDER
• Config file: provider
• Default value: ollama
• Allowed values:
  • ollama: Use local Ollama models
  • openai: Use the OpenAI API

session_dir

Path to the session directory

• CLI: N/A
• Environment variable: OCLA_SESSION_DIR
• Config file: sessionDir
• Default value: ./.ocla/sessions

session_storage_mode

how we store session data on disk

• CLI: N/A
• Environment variable: OCLA_SESSION_STORAGE_MODE
• Config file: sessionStorageMode
• Default value: COMPRESS
• Allowed values:
  • PLAIN: Plain text (JSON). Can get large.
  • COMPRESS: Compressed via gzip

state_file

Path to the state file

• CLI: N/A
• Environment variable: OCLA_STATE_FILE
• Config file: stateFile
• Default value: ./.ocla/state.json

thinking

Enable & show model thinking. If the model does not support thinking, this has no effect and thinking is disabled.

• CLI: -t --thinking
• Environment variable: OCLA_THINKING
• Config file: thinking
• Default value: ENABLED
• Allowed values:
  • DISABLED: The model will not think and nothing is shown
  • HIDDEN: The model will think, but thinking output is not displayed
  • ENABLED: The model will think and ocla prints this output

tool_permission_mode

How tools request permission to run

• CLI: N/A
• Environment variable: OCLA_TOOL_PERMISSION_MODE
• Config file: toolPermissionMode
• Default value: DEFAULT
• Allowed values:
  • DEFAULT: Ask for permission for non-trivial tools
  • ALWAYS_ASK: Always ask for permission for all tools
  • ALWAYS_ALLOW: Always run any tool; use with caution