Commit Graph

64 Commits

  • feat: add agent roles to collab tools (#9275)
    Add `agent_type` parameter to the collab tool `spawn_agent` that
    contains a preset to apply on the config when spawning this agent
  • feat: add collab prompt (#9208)
    Adding a prompt for collab tools. This is only for internal use and the
    prompt won't be gated for now as it is not stable yet.
    
    The goal of this PR is to provide the tool required to iterate on the
    prompt
  • Removed experimental "command risk assessment" feature (#7799)
    This experimental feature received lukewarm reception during internal
    testing. Removing from the code base.
  • Improve compact (#6692)
    This PR does the following:
    - Add compact prefix to the summary
    - Change the compaction prompt
    - Allow multiple compaction for long running tasks
    - Filter out summary messages on the following compaction
    
    Considerations:
    - Filtering out the summary message isn't the most clean
    - Theoretically, we can end up in infinite compaction loop if the user
    messages > compaction limit . However, that's not possible in today's
    code because we have hard cap on user messages.
    - We need to address having multiple user messages because it confuses
    the model.
    
    Testing:
    - Making sure that after compact we always end up with one user message
    (task) and one summary, even on multiple compaction.
  • Changes to sandbox command assessment feature based on initial experiment feedback (#6091)
    * Removed sandbox risk categories; feedback indicates that these are not
    that useful and "less is more"
    * Tweaked the assessment prompt to generate terser answers
    * Fixed bug in orchestrator that prevents this feature from being
    exposed in the extension
  • feat: compactor 2 (#6027)
    Co-authored-by: pakrym-oai <pakrym@openai.com>
  • Delegate review to codex instance (#5572)
    In this PR, I am exploring migrating task kind to an invocation of
    Codex. The main reason would be getting rid off multiple
    `ConversationHistory` state and streamlining our context/history
    management.
    
    This approach depends on opening a channel between the sub-codex and
    codex. This channel is responsible for forwarding `interactive`
    (`approvals`) and `non-interactive` events. The `task` is responsible
    for handling those events.
    
    This opens the door for implementing `codex as a tool`, replacing
    `compact` and `review`, and potentially subagents.
    
    One consideration is this code is very similar to `app-server` specially
    in the approval part. If in the future we wanted an interactive
    `sub-codex` we should consider using `codex-mcp`
  • Added model summary and risk assessment for commands that violate sandbox policy (#5536)
    This PR adds support for a model-based summary and risk assessment for
    commands that violate the sandbox policy and require user approval. This
    aids the user in evaluating whether the command should be approved.
    
    The feature works by taking a failed command and passing it back to the
    model and asking it to summarize the command, give it a risk level (low,
    medium, high) and a risk category (e.g. "data deletion" or "data
    exfiltration"). It uses a new conversation thread so the context in the
    existing thread doesn't influence the answer. If the call to the model
    fails or takes longer than 5 seconds, it falls back to the current
    behavior.
    
    For now, this is an experimental feature and is gated by a config key
    `experimental_sandbox_command_assessment`.
    
    Here is a screen shot of the approval prompt showing the risk assessment
    and summary.
    
    <img width="723" height="282" alt="image"
    src="https://github.com/user-attachments/assets/4597dd7c-d5a0-4e9f-9d13-414bd082fd6b"
    />
  • feat: context compaction (#3446)
    ## Compact feature:
    1. Stops the model when the context window become too large
    2. Add a user turn, asking for the model to summarize
    3. Build a bridge that contains all the previous user message + the
    summary. Rendered from a template
    4. Start sampling again from a clean conversation with only that bridge