Adds a built-in, opt-in codemode tool that runs model-written JavaScript in the codemode sandbox. Scripts call the other active tools as tools.<name>(args), including concurrently with Promise.all; only the return value, console output, and images attached with image() reach the model.
Nested calls run through the agent loop via a new AgentToolContext (5th execute argument, ctx.executeTool for extension tools), so argument validation and the beforeToolCall/afterToolCall hooks apply. Hooks and tool_call/tool_result events carry the parent call id.
Tools can declare outputSchema and return structuredContent; codemode passes that to scripts and falls back to text content otherwise. The codemode package gains globals, declaration rendering from JSON Schema, and optional deadlines.
#7638 hardcoded vLLM's thinking_token_budget. Map thinkingBudgets through
thinkingTokenBudgetField, keep the boolean as a vLLM alias, clamp so the
answer keeps 1024 tokens, and document it.
fixes#8274
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Mario Zechner <badlogicgames@gmail.com>
Images produced by tools (extensions, MCP bridges, screenshot tools) went into
session history at full resolution because processImage was only wired to the
read tool and @file CLI attachments. Providers validate every image in the
request, so one oversized image poisons the whole conversation: Anthropic drops
its per-image cap from 8000px to 2000px once a request carries many images, and
every later turn re-sends the same payload. Switching models does not help.
Normalize tool result images in AgentSession.afterToolCall, after the extension
tool_result hook so extension-injected images are covered too. Honors
images.autoResize, and keeps the original block when processing fails so an
unavailable image backend does not delete tool output.
Refs #5369
Assisted-By: devx/86bf3b09-9aba-4d03-8154-50fca3ffc9b5
Replace OpenAI and Anthropic SDK retries with local request retries that
preserve configured retry counts, enforce maxRetryDelayMs, and make retry
backoff interruptible through AbortSignal.
Alternatives considered: Racing SDK requests against AbortSignal would make
cancellation observable but would not let Pi enforce maxRetryDelayMs before
the SDK enters its retry sleep. Patching private SDK internals would be brittle,
while disabling provider retries entirely would ignore explicitly configured
maxRetries.
Also, align the custom OpenAI Codex retry loop with the documented
maxRetryDelayMs behavior. Oversized server-requested delays now fail immediately
instead of being clamped, allowing the visible, abortable agent-level retry
policy to handle the failure.
Fixes#6911
getShellPath() now runs the configured shellPath through the existing
normalizePath() helper, mirroring getSessionDir(). This lets shellPath
point at a home-directory-relative shell wrapper (e.g.
~/.local/bin/agent-shell-sandbox) and resolves consistently across
machines and OSes with different home directories.
refs #6458
Detect prompt cache misses per turn by comparing each assistant message's
cache reads against the previous request's prompt tokens (core/cache-stats.ts).
Significant misses emit a warning-colored transcript notice at the turn they
occur, noting idle gaps past the cache TTL and model switches when relevant.
/session gained cache statistics: a compact token/cache breakdown with hit
rate, a $-prefixed cost section with per-model cost breakdown, and the
cumulative cost re-billed due to cache misses.
Behind PI_EXPERIMENTAL=1, show a first-time setup dialog on interactive startup when the default agent directory is used and settings.json does not exist. The dialog preselects the detected terminal appearance with an explicit dark/light choice (live preview) and asks for opt-in analytics data sharing. Submitting writes settings.json, which serves as the completion marker; opting in stores a generated trackingId. Escape at any point skips out of setup.
* Revert "fix(coding-agent): use alternate logic to find Bun's node_modules (#3861)"
This reverts commit c241c6d6d0. The logic
is faulty: the original strategy of looking for node_modules by asking
the package manager is not incorrect even on bun. Instead, it should
learn a different method of asking the package manager for node_modules
when the *package manager* is bun, not the *runtime*.
* feat(coding-agent): detect bun as package manager and use alternate root query
When `"npmCommand": ["bun"]` is configured in settings.json, pi fails to
start because it invokes `bun root -g`, which doesn't exist:
error: Failed to run bun root -g: error: Script not found "root"
Add a (simple) check for Bun being used as package manager, and instead
build the relative path starting from Bun's bin directory.
