mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-10-26 10:26:26 +01:00
runner-task-thread-integration
4
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DottaandPaperclip
|
487e33b8b6 |
fix(codex-local): resolve GPT-5.6 model metadata at source (#9780)
## Thinking Path > - Paperclip is the open source control plane people use to manage AI agents for work > - The `codex_local` adapter runs OpenAI's Codex CLI through direct CLI and ACP execution lanes > - The adapter defaulted to the bare `gpt-5.6` alias while the bundled ACP Codex version lacked GPT-5.6-family metadata > - Default and legacy-configured runs therefore emitted fallback-metadata warnings and could use generic context limits > - This pull request upgrades the bundled Codex ACP dependency, selects the concrete `gpt-5.6-sol` model, and normalizes the legacy alias in both execution lanes > - The benefit is correct model metadata without hiding genuine stderr or transcript warnings ## Linked Issues or Issue Description Related public PRs: Refs #9342, Refs #9352, and Refs #9382. This PR is narrower: it upgrades bundled Codex metadata and normalizes the legacy bare alias in both execution lanes. **Bug report** ### What happened Default `codex_local` runs, and agents still configured with the bare `gpt-5.6` model, print a model-metadata fallback warning and use generic context-window limits. Root cause: the ACP lane bundled a Codex release predating GPT-5.6-family metadata, while Paperclip's default and advertised model used the bare `gpt-5.6` alias for which Codex publishes no metadata. ### Expected behavior A default Codex run resolves to a concrete model slug with published metadata and does not emit a fallback-metadata warning. ### Deployment mode Self-hosted/local `codex_local` adapter. ## What Changed - Upgraded `@agentclientprotocol/codex-acp` from `^1.1.0` to `^1.1.4` - Changed `DEFAULT_CODEX_LOCAL_MODEL` from `gpt-5.6` to `gpt-5.6-sol` - Removed the bare alias from advertised models and listed concrete GPT-5.6 Fast-mode variants - Added `normalizeCodexModel()` and applied it in both CLI and ACP execution lanes - Updated adapter docs, Storybook fixtures, and regression tests - Preserved warning visibility; no stderr, transcript, or log filtering changed ## Verification - `pnpm --filter @paperclipai/adapter-codex-local typecheck` - `pnpm check:token-gates` - `cd packages/adapters/codex-local && pnpm exec vitest run` — 205 tests passed - `cd server && pnpm exec vitest run src/__tests__/adapter-models.test.ts` — 17 tests passed - Confirmed the PR diff excludes `pnpm-lock.yaml` and `.github/workflows/**` as required by repository policy - Confirmed `.github/workflows/pr.yml` regenerates and uploads the PR lockfile artifact before downstream `pnpm install --frozen-lockfile` steps ## Risks Low risk. The behavior change is scoped to `codex_local` model selection. Existing concrete model IDs pass through unchanged; only the legacy bare `gpt-5.6` alias is rewritten. Dependency resolution may select a newer compatible `codex-acp` release within the declared range, so CI remains the final compatibility gate. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - Original implementation: Anthropic Claude Opus 4.8 (`claude-opus-4-8`, 1M context, tool use and code execution) - Conflict resolution and PR preparation: OpenAI GPT-5.5 (`gpt-5.5`, Codex CLI coding agent, high-reasoning tool use and code execution; host-managed context window) ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [ ] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details — branch name is fixed by the assigned execution workspace and cannot be renamed in-place - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
||
|
DottaandPaperclip
|
1426494ab8 |
fix(agents): disable cheap model profiles by default (#10019)
## Thinking Path
> - Paperclip is the control plane people use to create and govern
AI-agent companies
> - Agent creation persists runtime configuration that controls which
model profiles future runs may select
> - Adapters can expose a `cheap` profile, and existing creation paths
implicitly left that profile available when operators made no choice
> - That made a newly created agent eligible for a lower-cost model
without an explicit operator opt-in
> - The UI also dropped an explicit opt-in when the operator selected
the adapter's default cheap model rather than a custom model ID
> - Codex additionally hardcoded `gpt-5.3-codex-spark` into its cheap
profile and static fallback model list, making Paperclip choose an
auth-dependent model rather than requiring an operator choice
> - This pull request makes new-agent creation disable an available
cheap profile by default while preserving explicit opt-in from the UI or
API
> - The Codex cheap profile now remains available for explicit
configuration but supplies no model default, so an unconfigured cheap
request stays on the primary model
> - The benefit is predictable model quality for new agents and an
intentional, auditable choice before lower-cost routing is enabled
## Linked Issues or Issue Description
**Problem**
New agents created with an adapter that exposes a `cheap` model profile
can inherit that profile without the operator explicitly enabling it. In
the UI, enabling the adapter-default cheap model is also omitted because
runtime configuration is only written when a custom model ID is present.
**Expected behavior**
- New agents default an available `cheap` model profile to `{ enabled:
false }` when the caller does not specify it.
- Explicit API configuration remains authoritative.
- UI opt-in persists even when the adapter default model is used.
- Codex does not advertise or automatically select
`gpt-5.3-codex-spark`; operators must explicitly configure any
lower-cost Codex model.
**Related public work**
- Refs #4881, which introduced cheap model profiles for local adapters.
- Supersedes the default-selection portions of #8032 and #10004 by
removing the Codex model default instead of replacing it with another
hardcoded model.
## What Changed
- Detect whether the selected adapter exposes a `cheap` model profile
during agent creation and hiring.
- Persist `runtimeConfig.modelProfiles.cheap.enabled = false` only when
the caller did not explicitly configure the profile.
- Preserve UI cheap-profile opt-in when using the adapter's default
model by writing an empty adapter config.
- Remove `gpt-5.3-codex-spark` from the Codex static model list.
- Keep the Codex `cheap` profile explicitly configurable while giving it
an empty adapter config, so Paperclip never chooses a cheap Codex model
automatically.
- Verify that a Codex cheap request without an explicit model leaves the
primary model unchanged.
- Extend server route and UI runtime-config tests for default-disable
and explicit-opt-in behavior.
## Verification
- `env -u PAPERCLIP_IN_WORKTREE -u PAPERCLIP_WORKTREE_NAME -u
PAPERCLIP_CONFIG -u PAPERCLIP_HOME -u PAPERCLIP_INSTANCE_ID -u
PAPERCLIP_CONTEXT pnpm exec vitest run
packages/adapters/codex-local/src/index.test.ts
packages/adapters/codex-local/src/server/codex-args.test.ts
server/src/__tests__/adapter-models.test.ts
server/src/__tests__/adapter-registry.test.ts
server/src/__tests__/heartbeat-model-profile.test.ts
server/src/__tests__/agent-permissions-routes.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- Result: 7 test files passed, 105 tests passed.
- GitHub `Typecheck + Release Registry` check passed on the final head.
- `git diff --check public-gh/master...HEAD`
## Risks
- Low behavioral risk: only newly created or hired agents are
normalized; existing agents are unchanged.
- Explicit `cheap` profile settings remain untouched, including explicit
opt-in.
- Codex users who explicitly opt into the cheap lane must choose a
model; requests without a configured override intentionally continue on
the primary model.
- Adapter profile discovery is now awaited during creation, adding a
small amount of adapter metadata lookup work.
- The source branch name is automation-provided and retained as required
by the task, so it does not satisfy the preferred public branch naming
convention.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI `gpt-5.4` via Codex CLI, with reasoning, repository editing,
terminal execution, and GitHub/Paperclip tool access. The runtime did
not expose a context-window size.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [ ] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
|
||
|
DottaandPaperclip
|
a02fe8d575 |
Update Codex adapter GPT-5.6 defaults (#9352)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Codex local is the adapter subsystem that exposes OpenAI Codex CLI model choices to agents and issue overrides. > - OpenAI has GPT-5.6 Codex-capable models that should appear in Paperclip's built-in Codex model list and refresh behavior. > - Paperclip's server model listing falls back to the adapter metadata and merges OpenAI refresh results with known Codex defaults. > - This pull request updates the Codex default model metadata to include GPT-5.6 options and adds regression coverage for fallback and refresh paths. > - The benefit is that operators can select the new Codex models without relying on manual model IDs, and refresh behavior keeps known GPT-5.6 options visible. ## Linked Issues or Issue Description Refs #9322. Refs #9342. Refs #9346. ### Agent or provider Codex CLI (OpenAI). ### Why this adapter is useful OpenAI's GPT-5.6 Codex-capable models should be available in Paperclip's Codex adapter defaults and model refresh path. ### How the agent is invoked `codex` ## What Changed - Changed the `codex_local` default model metadata from `gpt-5.5` to `gpt-5.6`. - Added `gpt-5.6-sol`, `gpt-5.6-terra`, and `gpt-5.6-luna` to the built-in Codex adapter model list. - Updated adapter and server model-listing tests to cover GPT-5.6 fallback and refresh behavior. - Aligned Codex Fast mode support and helper text with the new `gpt-5.6` default, while preserving GPT-5.5, GPT-5.4, and manual model ID support. ## Verification - `git diff --check origin/master...HEAD` - `pnpm exec vitest run packages/adapters/codex-local/src/index.test.ts packages/adapters/codex-local/src/server/codex-args.test.ts server/src/__tests__/adapter-models.test.ts server/src/__tests__/adapter-model-refresh-routes.test.ts` - `pnpm check:token-gates` - `pnpm --filter @paperclipai/adapter-codex-local typecheck` - `pnpm --filter @paperclipai/server typecheck` - `pnpm --filter @paperclipai/ui typecheck` ## Risks Medium risk because changing `DEFAULT_CODEX_LOCAL_MODEL` from `gpt-5.5` to `gpt-5.6` changes the adapter's default model selection for new blank configurations. The model-list additions are otherwise low risk and covered by adapter/server metadata tests. This PR intentionally overlaps related PRs #9342 and #9346, so reviewers may prefer to close or fold it into one of those branches. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex coding agent based on GPT-5, with shell, git, GitHub CLI, and repository editing tool use. Exact served model ID and context window were not exposed by the runtime. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
||
|
Devin FoleyandPaperclip
|
0c2ec7deb4 |
Fix sandboxed Claude and Codex probe behavior (#8775)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Local adapters are the bridge between Paperclip's control plane and provider CLIs such as Claude Code and Codex. > - Those adapters can run either on the host machine or inside a remote/sandbox execution target. > - Sandbox probes need to validate the same auth/config path that real sandbox execution will use. > - The previous probe paths could surface misleading Claude errors, rely on host-only Codex state, or upload far more Codex home state than the probe needed. > - This pull request fixes the Claude and Codex sandbox probe/runtime behavior together while keeping provider-specific sandbox image work out of scope. > - The benefit is faster, clearer adapter health checks that better match real sandbox execution. ## Linked Issues or Issue Description No public GitHub issue was found for this exact bug during duplicate search. Bug report: **What happened?** Sandboxed Claude/Codex adapter tests could diverge from real runtime auth/config behavior. Claude sandbox probes could show the leading stream init line instead of the real final error, and Codex sandbox probes could upload full managed home state or mask a sandbox-local login with an empty uploaded `CODEX_HOME`. **Expected behavior** Sandbox probes should exercise the remote runtime contract, preserve useful sandbox credentials, avoid relying on unrelated host state, and report actionable probe failures. **Steps to reproduce** 1. Configure a remote/sandbox execution target for `claude_local` or `codex_local`. 2. Run the environment Test/probe path where host credentials differ from the sandbox's runtime credentials or the managed Codex home contains session history. 3. Observe that probe behavior can differ from the actual sandbox runtime path or surface an unhelpful Claude stream initialization line. **Paperclip version or commit** Current `master` before this PR, based on `4a2447da3`. **Deployment mode** Local development/control-plane deployment with remote sandbox execution targets. Related search performed: - Public issues: `Claude sandbox probe`, `Codex CODEX_HOME sandbox` returned no matches. - Public PRs: `Claude Codex sandbox probe`, `codex home sandbox`, `claude auth sandbox` returned no matches. ## What Changed - Made Claude sandbox Test probes materialize the same Paperclip-managed Claude config seed path used by sandbox execution. - Preserved sandbox-local Claude credentials when materializing remote Claude config and expanded auth-required detection for `/login` API-key failures. - Improved Claude hello-probe diagnostics so the final result/error is surfaced instead of the unhelpful stream init event, with transient upstream failures downgraded to warnings. - Changed Codex probe behavior to upload only minimal auth/config files instead of the full managed `CODEX_HOME`. - Let Codex sandbox probes leave `CODEX_HOME` unset when the host has no credentials, so pre-authenticated sandbox images can be tested directly. - Excluded bulky host-local Codex session/shell state from sandbox runtime home uploads. - Switched the Codex local default model away from the ChatGPT-unsupported `gpt-5.3-codex` option. - Added regression coverage for Claude parsing/probe paths, Codex adapter metadata/argument/probe behavior, and server-level Claude sandbox environment behavior. ## Verification Passed locally: - `pnpm install --frozen-lockfile` - `pnpm vitest run packages/adapters/claude-local/src/server/parse.test.ts packages/adapters/claude-local/src/server/test.probe.test.ts server/src/__tests__/claude-local-adapter-environment.test.ts` - `pnpm vitest run packages/adapters/codex-local/src/index.test.ts packages/adapters/codex-local/src/server/codex-args.test.ts packages/adapters/codex-local/src/server/test.remote.test.ts` - `pnpm --filter @paperclipai/adapter-claude-local typecheck` - `pnpm --filter @paperclipai/adapter-codex-local typecheck` - `pnpm --filter @paperclipai/server typecheck` - `git diff --check` ## Risks - Adapter configuration behavior is sensitive to local vs sandboxed execution mode, so review should focus on environment detection, argument construction, and any state written during probe/test runs. - The Codex default-model change may affect newly created agents that rely on the adapter default instead of an explicit model. - Excluding Codex session/shell state from sandbox uploads should be safe for fresh sandbox runs, but reviewers should confirm no runtime resume path depends on that host-local state. - Provider-specific setup/capture behavior is intentionally left to separate work. ## Model Used OpenAI GPT-5 Codex via Paperclip `codex_local`; tool-enabled local coding session with terminal access. Context window size was not exposed by the runtime. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |