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Implements Terminus, an interactive terminal session manager that enables persistent terminal sessions with state preservation for TerminalBench evaluation tasks. Follows the OpenCode/Codex agent pattern from PR sdevare-nv#11. Key features: - Persistent terminal sessions with environment and directory preservation - Interactive process support (REPLs, debuggers, interactive CLIs) - Multi-session management with isolated environments - Control sequence support (Ctrl+C, Ctrl+D, etc.) - Timeout handling and automatic cleanup - PTY-based terminal emulation Implementation includes: - 4 new action types (START, EXECUTE, INPUT, STOP) - 3 new observation types (OUTPUT, ERROR, SESSION) - Complete session manager with PTY-based implementation - LLM tool definitions for agent integration - Comprehensive test suite with all tests passing - Full documentation and usage examples This enables OpenHands to handle terminal-intensive tasks requiring persistent shell state, interactive processes, and sophisticated command execution workflows. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Convert Cline tools to work with OpenHands
As part of the implementation make a new agent in agenthub called cline_agent.
Follow the same convention used in the opencode_agent.
The tool implementation should match the tool implementation in Cline with the same description, parameters, implementation, response format, etc.
The tools can be found here - /lustre/fsw/portfolios/llmservice/users/sdevare/repos/nv-OpenHands/temp/cline/src/core/task/tools
Please note - for shell commands, please add the is_input parameter to the tool implementation and the function call.
Please note - Also match the prompts used in Cline for the system prompt, user prompt, tool descriptions, etc.
You'll need to also update the following files:
openhands/agenthub/init.py
openhands/core/schema/action.py
openhands/core/schema/observation.py
openhands/events/action/init.py
openhands/events/observation/init.py
openhands/events/serialization/action.py
openhands/events/serialization/observation.py
openhands/llm/tool_names.py
openhands/memory/conversation_memory.py
openhands/runtime/impl/action_execution/action_execution_client.py
openhands/runtime/action_execution_server.py
evaluation/benchmarks/swe_bench/run_infer.py - AGENT_CLS_TO_FAKE_USER_RESPONSE_FN
implement cline action here
openhands/events/action/cline.py
implement cline observation here
openhands/events/observation/cline.py
Add prompts to the cline_agent and match the prompts used in Cline
openhands/agenthub/client_agent/prompts/additional_info.j2
openhands/agenthub/client_agent/prompts/microagent_info.j2
openhands/agenthub/client_agent/prompts/system_prompt_long_horizon.j2
openhands/agenthub/client_agent/prompts/system_prompt.j2
openhands/agenthub/client_agent/prompts/user_prompt.j2
Test the implementation - migrate the test cases from Cline to cline_agent with full coverage.
Once the implementation is complete, write comprehensive tests for each of the tool implementation please.