When the session's initial tools come from defaultTools, /reload activates
names added to the resolved selection. Removals do not deactivate tools, and
explicit --tools/--no-tools/--no-builtin-tools keep overriding the setting.
closes#10245
In codemode.mode "only", tools whose declarations codemode hides were still
listed in the <tools> section. Drop their snippets so the list matches the
declared tools.
closes#10192
The first prompt waits only for servers with direct tools. Other servers
connect in the background; codemode scripts, tool_search, and the
resource tools wait for the servers they need. codemode and tool_search
are activated from the config.
Tool declarations no longer depend on connected servers: the codemode
description leaves out deferred tools, and the tool_search description
no longer lists sources. Servers are listed in an mcp_servers system
prompt section instead, set in before_agent_start from the config and
connected state, so changes are appended to the conversation.
describeNamespace() and searchTools() accept mcp__dev-radius,
mcp__dev_radius, dev-radius, and dev_radius.
closes#10212
Reject extension commands without a non-empty string name or a handler
at registration, instead of letting them crash the editor when typing /.
fixes#10054
getBranchSelection looked up the model catalog once per assistant message,
which made prompt submission scale with session length. Walk the branch
backward instead: only the last model_change can hold against later
responses, so at most that model needs a lookup.
closes#10198
Adds oauth.clientName (and pi mcp add --oauth-client-name) to set the
client_name sent during dynamic client registration. Defaults to pi.
closes#10226
MCP codemode exposure no longer lists tools, tool counts, or server
instructions in the codemode description. Servers are listed by name and
an optional mcp.json description; scripts find tools with searchTools()
and read instructions with describeNamespace(). codemode-deferred is an
alias for codemode.
refs #10212
registerNativeProvider() did not update the auth snapshot, so the provider
stayed unconfigured until an async refresh saved a snapshot that included it.
At startup that refresh can resolve before its result is saved, so initial
model selection saw the provider as unconfigured and fell back to another
provider or warned that no models are available.
Share registerProvider's provisional entry through markProvisionallyConfigured()
so native providers with a stored credential or a models.json apiKey are
configured immediately.
fixes#9962
Add gpt-6.1-sol to the OpenAI, Azure OpenAI Responses, and OpenAI Codex
providers with official pricing ($2 input, $0.10 cached input, $2.50
cache writes, $10 output, long-context tier above 272k). The model
rejects reasoning.effort "none", so off is unsupported and clamps to
the lowest effort.
Structured bash results now hold the full output up to 1 MiB instead of the
model-facing 2000 lines or 50KB, keeping the first and last 512 KiB of longer
output, and add truncated and full_output_path.
Codemode sums the usage of models.classify() calls into its tool result and shows each call's cost. Usage of tools called through ctx.executeTool() is added to the calling tool's result usage instead of being dropped.
Tools without a custom call renderer now show their arguments as key=value
pairs when collapsed and one key: value line per argument when expanded.
MCP tools get a server/tool title and results that collapse to 5 lines.
Entries of only +name/-name modify the inherited tool selection, so
"defaultTools": ["+codemode"] enables codemode without repeating the
defaults. Project entries layer on top of user settings. Document how to
enable codemode without MCP and how to use classifier models from it.
Built-in extensions (mcp, llama.cpp, codemode, tool-search) are now extension resources like files: the package manager resolves them as builtin:<name>, the extensions setting disables them with -builtin:<name> (per project too), pi config lists them, and --no-extensions turns them off unless loaded with -e builtin:<name>. They load after project trust is resolved and after file and package extensions.
Built-in extensions and tools are named builtin:<name> in errors, diagnostics, RPC source info, and bug reports.
Adds fullscreenWheelScrollLines ("auto" or 1-100). Auto keeps one line
per event in local macOS terminals and scales with wheel velocity
elsewhere, capped at six lines per event.
closes#9758
This adds codemode and MCP support to pi. Codemode (packages/codemode) runs
model-written JavaScript in a QuickJS wasm VM inside a worker. From there the
script calls pi's tools as async functions, uses a per-session store, and can
read the model catalog and run classifiers. The codemode tool in coding-agent
is compatible with Codex's exec tool, and codemode.mode works like Codex's
tool modes (on or only). Large results are written to a JSON temp file. MCP
(packages/mcp) is a standalone client for stdio and streamable HTTP servers,
with OAuth.
The core only gets general mechanisms; codemode, tool_search and MCP are
built-in extensions that use them. Other extensions can replace these
built-ins. Tools declare an exposure: direct, model-only, codemode, deferred
or hidden. prepareLoadout() lets an orchestrating tool change which tool
declarations the model sees. ctx.executeTool() runs nested calls through
validation and the tool_call/tool_result hooks. Those calls emit events with
parentToolCallId and are recorded as bounded nestedCalls on the parent
result, which compaction and HTML export use. Tools can also return
structuredContent with an outputSchema, and can report errors with isError
instead of throwing. MCP servers come from mcp.json (global, or per project
after the project is trusted) or from pi.registerMcpServer(). They are
managed with /mcp and pi mcp list|login|logout, and their runtimes load on
first use.
Closes#10040
Theme previews re-render the whole transcript, and streaming re-renders
every frame, so per-line and per-session work dominated in long sessions.
- visibleWidth: fast path for ANSI-styled ASCII, allocation-free escape scanning
- Box: compare unpadded child lines and skip a second width measurement
- Markdown: reuse parsed tokens across invalidation
- footer: cache usage totals and context usage per session state
- bash results: cache the collapsed preview including the expand hint
- sanitizeBinaryOutput: single regex replace
Together no longer lists Kimi K2.6, which broke type checks against the hydrated catalog. Tests use Kimi K3 and the Together default model now points at it.
This adds experimental support for virtual models. A virtual model is a catalog entry that an extension registers with pi.registerVirtualModel(). It does not talk to a provider itself; for every request it picks a physical model and thinking level. The motivation is to make routing policies pluggable: plan on a strong model and implement on a cheap one, pick a model with a classifier, or move to a larger window when the context grows. Today this needs model switching by hand or hacks in prepareRequest.
The selection stays virtual: model_change records it, resume restores it, and each response records the physical model and thinking level that produced it. Router state can be stored on the session branch, so it follows /tree and forks and survives compaction. Context limits, compaction and image sizing use the physical model a request was routed to. examples/extensions/jev-router.ts shows a full router that uses the Jev classifier to pick Sol or Terra for planning and hands off to Luna after the first edit. docs/virtual-models.md describes the API.
Read Finder file URLs before icon image data on macOS. Quote paths in
bash mode and reject terminal control characters before rendering.
Fixes#9999
Co-authored-by: 1dustycy <onedustycy@gmail.com>
A new session was only written to disk once the first assistant message
existed. If pi exited during the first turn (Ctrl+C twice while streaming,
or the process was killed), the user's prompt was lost and the session
never appeared in /resume.
The file is now created as soon as the session has a user or assistant
message. A session with only setup entries (model, thinking level) still
stays in memory, so starting pi and quitting without chatting leaves no
file. Forking uses the same rule through a shared helper, so the two paths
cannot drift apart and write the header twice (#1672).
closes#10000
Successful RPC prompt, steer, and follow_up responses include
data.disposition ("handled", "queued", or "started" for prompt), so clients
know whether to wait for agent_settled.
fixes#9098
Strict tool schemas make models send null for omitted optional fields.
The read renderer only treated undefined as missing, so full-file reads
rendered as "path:1".
fixes#9996
Temporary git extensions (-e git:...@ref) were cached in a folder keyed
only by host and repo path. After changing the pinned ref, pi reused the
old checkout without refreshing it and kept loading the first downloaded
commit. Include the ref in the temporary folder hash so each ref gets
its own checkout. Unpinned sources keep their existing folder.
closes#9982
Separate conversation content from instructions and replace prefix/suffix wording with continuation-oriented summarization guidance.
Hopefully this avoids the refusals.
Fixes#9652
Since 0.86 the prompt and tool declarations live in transcript system
messages, so a context handler that filters or slices messages could drop
them. After extension-driven compaction this sent requests without built-in
tools and made Codex emit raw tool-call text.
context handlers now see the conversation only. An unchanged list keeps the
transcript as is; a changed list gets the replayed prompt sections and tool
declarations as one leading system message. Handler-added system messages
are kept after it.
Add context_with_system, which runs after every context handler on the full
transcript and sends its result verbatim, for extensions that need to edit
system messages per request. Dropping the leading system message is reported
as an extension error.
closes#9789, closes#9822
Make SessionManager projections authoritative for provider requests, add append-only context edits and actionable turn boundaries, and preserve existing queue scheduling during continuation and recovery.
Device authorization flow against auth.meta.com mints a Model API key via the Muse Code key-mint endpoint. Identity token stored as refresh, minted key as access; daily re-mint via the standard OAuth scheduler. Identity is non-renewable (no refresh grant), so mint 401/403 directs to /login meta. Models sourced from models.dev; default muse-spark-1.3.
