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Author SHA1 Message Date
buzzert b8676027db ios: trust Apple root in CI signing keychain
TestFlight Release / testflight (push) Failing after 8s
2026-06-25 21:12:53 -07:00
buzzert d36d2c60a3 ios: install Apple WWDR intermediate in CI
TestFlight Release / testflight (push) Failing after 18s
2026-06-25 21:11:01 -07:00
buzzert 3d7031bb40 ios: avoid default keychain mutation in ci
TestFlight Release / testflight (push) Failing after 17s
2026-06-25 21:08:32 -07:00
buzzert fa9b725c77 ios: expose signing keychain to xcodebuild
TestFlight Release / testflight (push) Failing after 9s
2026-06-25 21:07:38 -07:00
buzzert a88987d08d ios: pin distribution signing identity
TestFlight Release / testflight (push) Failing after 15s
2026-06-25 21:05:26 -07:00
buzzert e137ea1077 ios: bootstrap signing with existing certificate
TestFlight Release / testflight (push) Failing after 17s
2026-06-25 21:03:43 -07:00
buzzert fad25d7f2b ios: configure api-key TestFlight signing 2026-06-25 20:51:01 -07:00
buzzert fb28508764 ios: ci: keychain cleanup 2026-06-25 20:35:39 -07:00
buzzert 4365798f5e workflow: fix
TestFlight Release / testflight (push) Failing after 16s
2026-06-25 20:21:39 -07:00
40 changed files with 711 additions and 994 deletions
+218
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@@ -0,0 +1,218 @@
name: TestFlight Release
on:
push:
tags:
- "release/v*.*.*"
permissions:
contents: write
jobs:
testflight:
runs-on: xcode
env:
SIGNING_KEYCHAIN: sybil_signing_temp
defaults:
run:
shell: bash
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Validate release tag
run: |
set -euo pipefail
tag_name="${GITHUB_REF#refs/tags/}"
if [[ ! "$tag_name" =~ ^release/v[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
echo "Release tag must match release/vN.N.N; got ${tag_name}" >&2
exit 1
fi
release_version="${tag_name#release/v}"
{
echo "TAG_NAME=${tag_name}"
echo "RELEASE_VERSION=${release_version}"
} >> "${GITHUB_ENV}"
- name: Set up Ruby
uses: ruby/setup-ruby@v1
with:
ruby-version: "3.3"
- name: Install Ruby gems
working-directory: ios
run: bundle install
- name: Install release tools
run: |
set -euo pipefail
missing_tools=()
for tool in xcodegen jq; do
if ! command -v "${tool}" >/dev/null 2>&1; then
missing_tools+=("${tool}")
fi
done
if [[ "${#missing_tools[@]}" -eq 0 ]]; then
exit 0
fi
if ! command -v brew >/dev/null 2>&1; then
echo "Missing required tools: ${missing_tools[*]}; Homebrew is not available to install them" >&2
exit 1
fi
brew install "${missing_tools[@]}"
- name: Install signing secrets
env:
APPSTORE_CERTIFICATES_FILE_BASE64: ${{ secrets.APPSTORE_CERTIFICATES_FILE_BASE64 }}
APPSTORE_CERTIFICATES_PASSWORD: ${{ secrets.APPSTORE_CERTIFICATES_PASSWORD }}
APPSTORE_PROVISIONING_PROFILE_BASE64: ${{ secrets.APPSTORE_PROVISIONING_PROFILE_BASE64 }}
run: |
set -euo pipefail
: "${APPSTORE_CERTIFICATES_FILE_BASE64:?APPSTORE_CERTIFICATES_FILE_BASE64 secret is required}"
: "${APPSTORE_CERTIFICATES_PASSWORD:?APPSTORE_CERTIFICATES_PASSWORD secret is required}"
: "${APPSTORE_PROVISIONING_PROFILE_BASE64:?APPSTORE_PROVISIONING_PROFILE_BASE64 secret is required}"
keychain_password="$(uuidgen)"
keychain_path="${HOME}/Library/Keychains/${SIGNING_KEYCHAIN}.keychain-db"
mkdir -p "${HOME}/Library/Keychains" "${HOME}/Library/MobileDevice/Provisioning Profiles" ios/build/secrets
printf '%s' "${APPSTORE_CERTIFICATES_FILE_BASE64}" | base64 --decode > ios/build/secrets/appstore-signing.p12
printf '%s' "${APPSTORE_PROVISIONING_PROFILE_BASE64}" | base64 --decode > "${HOME}/Library/MobileDevice/Provisioning Profiles/Sybil_AppStore_CI.mobileprovision"
curl -fsSL https://www.apple.com/appleca/AppleIncRootCertificate.cer -o ios/build/secrets/AppleIncRootCertificate.cer
curl -fsSL https://www.apple.com/certificateauthority/AppleWWDRCAG3.cer -o ios/build/secrets/AppleWWDRCAG3.cer
security create-keychain -p "${keychain_password}" "${keychain_path}"
security set-keychain-settings -lut 21600 "${keychain_path}"
security unlock-keychain -p "${keychain_password}" "${keychain_path}"
security list-keychains -d user -s "${keychain_path}" $(security list-keychains -d user | sed 's/[ "]//g')
security add-trusted-cert -r trustRoot -k "${keychain_path}" ios/build/secrets/AppleIncRootCertificate.cer
security import ios/build/secrets/AppleWWDRCAG3.cer \
-k "${keychain_path}" \
-T /usr/bin/codesign \
-T /usr/bin/security \
-T /usr/bin/xcodebuild
security import ios/build/secrets/appstore-signing.p12 \
-k "${keychain_path}" \
-P "${APPSTORE_CERTIFICATES_PASSWORD}" \
-T /usr/bin/codesign \
-T /usr/bin/security \
-T /usr/bin/xcodebuild
security set-key-partition-list -S apple-tool:,apple:,codesign: -s -k "${keychain_password}" "${keychain_path}"
security find-identity -v -p codesigning "${keychain_path}"
echo "SYBIL_SIGNING_KEYCHAIN_PATH=${keychain_path}" >> "${GITHUB_ENV}"
- name: Build and upload to TestFlight
working-directory: ios
env:
APP_STORE_CONNECT_API_KEY_ID: ${{ secrets.APP_STORE_CONNECT_API_KEY_ID }}
APP_STORE_CONNECT_API_ISSUER_ID: ${{ secrets.APP_STORE_CONNECT_API_ISSUER_ID }}
APP_STORE_CONNECT_API_KEY_CONTENT: ${{ secrets.APP_STORE_CONNECT_API_KEY_CONTENT }}
APP_STORE_CONNECT_API_KEY_CONTENT_BASE64: "true"
FASTLANE_DONT_STORE_PASSWORD: "1"
FASTLANE_HIDE_CHANGELOG: "1"
FASTLANE_SKIP_UPDATE_CHECK: "1"
SYBIL_PROVISIONING_PROFILE_SPECIFIER: Sybil AppStore CI
run: |
set -euo pipefail
SYBIL_VERSION_TAG="${TAG_NAME}" bundle exec fastlane ios beta
- name: Locate IPA
run: |
set -euo pipefail
ipa_path="$(find ios/build/fastlane -maxdepth 1 -type f -name '*.ipa' -print | sort | tail -n 1)"
if [[ -z "${ipa_path}" ]]; then
echo "No IPA found under ios/build/fastlane" >&2
exit 1
fi
{
echo "IPA_PATH=${ipa_path}"
echo "IPA_NAME=$(basename "${ipa_path}")"
} >> "${GITHUB_ENV}"
- name: Publish Gitea release asset
env:
GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
RELEASE_API_URL: ${{ github.api_url }}
RELEASE_REPOSITORY: ${{ github.repository }}
RELEASE_SHA: ${{ github.sha }}
run: |
set -euo pipefail
: "${GITEA_TOKEN:?GITEA_TOKEN is required}"
api_url="${RELEASE_API_URL:-https://code.buzzert.dev/api/v1}"
repository="${RELEASE_REPOSITORY:-buzzert/Sybil-2}"
sha="${RELEASE_SHA:-${GITHUB_SHA:-}}"
release_name="Sybil v${RELEASE_VERSION}"
release_body="Automated TestFlight release for ${TAG_NAME}."
release_payload="$(jq -nc \
--arg tag "${TAG_NAME}" \
--arg name "${release_name}" \
--arg body "${release_body}" \
--arg target "${sha}" \
'{tag_name: $tag, name: $name, body: $body, draft: false, prerelease: false} +
(if $target == "" then {} else {target_commitish: $target} end)')"
response_file="$(mktemp)"
status="$(curl -sS -o "${response_file}" -w "%{http_code}" \
-X POST "${api_url}/repos/${repository}/releases" \
-H "Authorization: token ${GITEA_TOKEN}" \
-H "Content-Type: application/json" \
--data "${release_payload}")"
if [[ "${status}" == "201" ]]; then
release_id="$(jq -r '.id' "${response_file}")"
elif [[ "${status}" == "409" ]]; then
release_id="$(curl -fsS \
-H "Authorization: token ${GITEA_TOKEN}" \
"${api_url}/repos/${repository}/releases?limit=100" |
jq -r --arg tag "${TAG_NAME}" '.[] | select(.tag_name == $tag) | .id' |
head -n 1)"
else
cat "${response_file}" >&2
exit 1
fi
if [[ -z "${release_id}" || "${release_id}" == "null" ]]; then
echo "Could not resolve Gitea release id for ${TAG_NAME}" >&2
exit 1
fi
existing_asset_id="$(curl -fsS \
-H "Authorization: token ${GITEA_TOKEN}" \
"${api_url}/repos/${repository}/releases/${release_id}/assets" |
jq -r --arg name "${IPA_NAME}" '.[] | select(.name == $name) | .id' |
head -n 1)"
if [[ -n "${existing_asset_id}" && "${existing_asset_id}" != "null" ]]; then
curl -fsS -X DELETE \
-H "Authorization: token ${GITEA_TOKEN}" \
"${api_url}/repos/${repository}/releases/${release_id}/assets/${existing_asset_id}"
fi
asset_name="$(jq -rn --arg value "${IPA_NAME}" '$value | @uri')"
curl -fsS -X POST \
-H "Authorization: token ${GITEA_TOKEN}" \
-F "attachment=@${IPA_PATH}" \
"${api_url}/repos/${repository}/releases/${release_id}/assets?name=${asset_name}" >/dev/null
echo "Published ${IPA_NAME} to ${release_name}"
- name: Clean up temporary keychain
if: always()
run: |
security delete-keychain "${HOME}/Library/Keychains/${SIGNING_KEYCHAIN}.keychain-db" || true
-44
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@@ -1,44 +0,0 @@
name: TestFlight
on:
workflow_dispatch:
push:
tags:
- "release/ios/v*"
jobs:
testflight:
runs-on: macos-arm64
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Ruby
uses: ruby/setup-ruby@v1
with:
ruby-version: "3.1.7"
bundler-cache: true
working-directory: ios
- name: Install XcodeGen
run: command -v xcodegen >/dev/null 2>&1 || brew install xcodegen
- name: Upload to TestFlight
working-directory: ios
env:
APP_STORE_CONNECT_KEY_ID: ${{ secrets.APP_STORE_CONNECT_KEY_ID }}
APP_STORE_CONNECT_ISSUER_ID: ${{ secrets.APP_STORE_CONNECT_ISSUER_ID }}
APP_STORE_CONNECT_KEY_CONTENT: ${{ secrets.APP_STORE_CONNECT_KEY_CONTENT }}
MATCH_PASSWORD: ${{ secrets.MATCH_PASSWORD }}
MATCH_GIT_URL: ${{ secrets.MATCH_GIT_URL }}
MATCH_GIT_BASIC_AUTHORIZATION: ${{ secrets.MATCH_GIT_BASIC_AUTHORIZATION }}
SYBIL_BUILD_NUMBER: ${{ github.run_number }}
FASTLANE_SKIP_UPDATE_CHECK: "1"
FASTLANE_XCODEBUILD_SETTINGS_TIMEOUT: "120"
# act_runner does not propagate setup-ruby's PATH changes into later
# steps, so put the selected Ruby back on PATH or `bundle` resolves to
# the toolcache default and misses the gems installed above.
run: |
export PATH="/Users/runner/hostedtoolcache/Ruby/3.1.7/arm64/bin:${PATH}"
bundle exec fastlane ios beta
+1 -2
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@@ -1,3 +1,2 @@
.env
ios/fastlane/README.md
ios/fastlane/report.xml
-1
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@@ -12,7 +12,6 @@ services:
OPENAI_API_KEY: ${OPENAI_API_KEY:-}
ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-}
XAI_API_KEY: ${XAI_API_KEY:-}
GEMINI_API_KEY: ${GEMINI_API_KEY:-}
HERMES_AGENT_API_BASE_URL: ${HERMES_AGENT_API_BASE_URL:-http://127.0.0.1:8642/v1}
HERMES_AGENT_API_KEY: ${HERMES_AGENT_API_KEY:-}
HERMES_AGENT_MODEL: ${HERMES_AGENT_MODEL:-}
+8 -13
View File
@@ -34,13 +34,11 @@ Chat upload limits:
"openai": { "models": ["gpt-4.1-mini"], "loadedAt": "2026-02-14T00:00:00.000Z", "error": null },
"anthropic": { "models": ["claude-3-5-sonnet-latest"], "loadedAt": null, "error": null },
"xai": { "models": ["grok-3-mini"], "loadedAt": null, "error": null },
"gemini": { "models": ["gemini-3.5-flash"], "loadedAt": null, "error": null },
"hermes-agent": { "models": ["hermes-agent"], "loadedAt": null, "error": null }
}
}
```
- OpenAI model lists are filtered to models that are expected to work with the backend's Responses API implementation.
- Gemini model lists are loaded from Google's native Models API and filtered to Gemini `generateContent` model ids.
- `hermes-agent` is included only when `HERMES_AGENT_API_KEY` is configured. Set it to Hermes `API_SERVER_KEY`, or any non-empty value if that local server does not require auth. `HERMES_AGENT_API_BASE_URL` defaults to `http://127.0.0.1:8642/v1`; set `HERMES_AGENT_MODEL` only when you need an additional fallback/override model id.
- The backend loads provider model lists at startup and refreshes them about once every 24 hours. If a later provider refresh fails, the response keeps the last loaded model list for that provider and sets `error` to the latest failure message.
@@ -58,7 +56,7 @@ Chat upload limits:
```
Behavior notes:
- Lists Sybil-managed chat tools that can be enabled for `openai`, `anthropic`, `xai`, and `gemini` chat completions.
- Lists Sybil-managed chat tools that can be enabled for `openai`, `anthropic`, and `xai` chat completions.
- Optional tools such as `codex_exec` and `shell_exec` appear only when enabled by server environment configuration.
## Active Runs
@@ -130,7 +128,7 @@ Behavior notes:
```json
{
"title": "optional title",
"provider": "optional openai|anthropic|xai|gemini|hermes-agent",
"provider": "optional openai|anthropic|xai|hermes-agent",
"model": "optional model id",
"additionalSystemPrompt": "optional stored system prompt",
"enabledTools": ["web_search", "fetch_url"],
@@ -236,7 +234,7 @@ Notes:
```json
{
"chatId": "optional-chat-id",
"provider": "openai|anthropic|xai|gemini|hermes-agent",
"provider": "openai|anthropic|xai|hermes-agent",
"model": "string",
"messages": [
{
@@ -287,7 +285,6 @@ Behavior notes:
- For `chatId` calls, server stores only *new* non-assistant messages from provided history to avoid duplicates.
- `additionalSystemPrompt`, when present directly or loaded from stored chat settings, is prepended to the provider request as a `system` message and is not inserted into the persisted chat transcript by this endpoint.
- `enabledTools` limits Sybil-managed tools for this request. When omitted for a saved chat, the stored chat setting is used; otherwise all available tools are enabled by default. An empty array disables Sybil-managed tools.
- `maxTokens` is optional. For `anthropic`, when omitted the backend requests the selected model's maximum output token limit from Anthropic's Models API and uses that as `max_tokens`; if the model limit cannot be loaded, the fallback is 128000. For other providers, omitted `maxTokens` is not sent as an explicit cap.
- Server persists final assistant output and call metadata (`LlmCall`) in DB.
- Server updates chat-level model metadata on each call: `lastUsedProvider`/`lastUsedModel`; first successful/failed call also initializes `initiatedProvider`/`initiatedModel` if unset.
- Attachments are optional and currently apply to `user` messages. Persisted chat history stores them under `message.metadata.attachments`.
@@ -296,14 +293,12 @@ Behavior notes:
- For `openai`, backend calls OpenAI's Responses API and enables internal tool use with an internal system instruction.
- For `anthropic`, backend calls Anthropic's Messages API and enables internal tool use with Anthropic `tool_use`/`tool_result` content blocks.
- For `xai`, backend calls xAI's OpenAI-compatible Chat Completions API and enables internal tool use with the same internal system instruction.
- For `gemini`, backend calls Google's native Gemini `generateContent` API and enables internal tool use with Gemini function calling.
- For `hermes-agent`, backend calls the configured Hermes Agent OpenAI-compatible Chat Completions API without adding Sybil-managed tool definitions; Hermes Agent handles its own tools server-side.
- For `openai`, image attachments are sent as Responses `input_image` items and text attachments are sent as `input_text` items.
- For `gemini`, image attachments are sent as native Gemini `inlineData` parts and text attachments are sent as text parts.
- For `xai` and `hermes-agent`, image attachments are sent as Chat Completions content parts alongside text.
- For `openai`, Responses calls that can enter the server-managed tool loop use `store: true` so reasoning and function-call items can be passed between tool rounds.
- For `anthropic`, image attachments are sent as Messages API `image` blocks using base64 source data; text attachments are added as `text` blocks.
- Available Sybil-managed tool calls for `openai`, `anthropic`, `xai`, and `gemini`: `web_search` and `fetch_url`. When `CHAT_CODEX_TOOL_ENABLED=true`, `codex_exec` is also available. When `CHAT_SHELL_TOOL_ENABLED=true`, `shell_exec` is also available.
- Available Sybil-managed tool calls for `openai`, `anthropic`, and `xai`: `web_search` and `fetch_url`. When `CHAT_CODEX_TOOL_ENABLED=true`, `codex_exec` is also available. When `CHAT_SHELL_TOOL_ENABLED=true`, `shell_exec` is also available.
- `web_search` returns ranked results with per-result summaries/snippets. Its backend engine is selected by `CHAT_WEB_SEARCH_ENGINE` (`exa` default, or `searxng` with `SEARXNG_BASE_URL` set). SearXNG mode requires the instance to allow `format=json`.
- `fetch_url` fetches a URL with browser-like navigation headers and returns plaintext page content (HTML converted to text server-side).
- `codex_exec` delegates coding, shell, repository inspection, and other complex software tasks to a persistent remote Codex CLI workspace over SSH. The server runs `codex exec --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check <non-interactive wrapped prompt>` on the configured devbox inside `CHAT_CODEX_REMOTE_WORKDIR`, with SSH stdin closed.
@@ -421,9 +416,9 @@ Behavior notes:
"updatedAt": "...",
"starred": false,
"starredAt": null,
"initiatedProvider": "openai|anthropic|xai|gemini|hermes-agent|null",
"initiatedProvider": "openai|anthropic|xai|hermes-agent|null",
"initiatedModel": "string|null",
"lastUsedProvider": "openai|anthropic|xai|gemini|hermes-agent|null",
"lastUsedProvider": "openai|anthropic|xai|hermes-agent|null",
"lastUsedModel": "string|null",
"additionalSystemPrompt": null,
"enabledTools": ["web_search", "fetch_url"]
@@ -473,9 +468,9 @@ Behavior notes:
"updatedAt": "...",
"starred": false,
"starredAt": null,
"initiatedProvider": "openai|anthropic|xai|gemini|hermes-agent|null",
"initiatedProvider": "openai|anthropic|xai|hermes-agent|null",
"initiatedModel": "string|null",
"lastUsedProvider": "openai|anthropic|xai|gemini|hermes-agent|null",
"lastUsedProvider": "openai|anthropic|xai|hermes-agent|null",
"lastUsedModel": "string|null",
"additionalSystemPrompt": null,
"enabledTools": ["web_search", "fetch_url"],
+2 -5
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@@ -21,7 +21,7 @@ Authentication:
{
"chatId": "optional-chat-id",
"persist": true,
"provider": "openai|anthropic|xai|gemini|hermes-agent",
"provider": "openai|anthropic|xai|hermes-agent",
"model": "string",
"messages": [
{
@@ -64,7 +64,6 @@ Notes:
- For persisted streams, backend stores only new non-assistant input history rows to avoid duplicates.
- `additionalSystemPrompt`, when present directly or loaded from stored chat settings, is prepended to the provider request as a `system` message and is not inserted into the persisted chat transcript by this endpoint.
- `enabledTools` limits Sybil-managed tools for this request. When omitted for a saved chat, the stored chat setting is used; otherwise all available tools are enabled by default. An empty array disables Sybil-managed tools.
- `maxTokens` is optional. For `anthropic`, when omitted the backend requests the selected model's maximum output token limit from Anthropic's Models API and uses that as `max_tokens`; if the model limit cannot be loaded, the fallback is 128000. For other providers, omitted `maxTokens` is not sent as an explicit cap.
- Attachments are optional and are persisted under `message.metadata.attachments` on stored user messages when `persist` is `true`.
Persisted chat streams with a `chatId` are backend-owned active runs:
@@ -174,11 +173,9 @@ Terminal tool-call event:
- `openai`: backend uses OpenAI's Responses API and may execute internal function tool calls (`web_search`, `fetch_url`, optional `codex_exec`, and optional `shell_exec`) before producing final text.
- `anthropic`: backend uses Anthropic's Messages API and may execute the same internal tools with `tool_use`/`tool_result` content blocks before producing final text.
- `xai`: backend uses xAI's OpenAI-compatible Chat Completions API and may execute the same internal tool calls before producing final text.
- `gemini`: backend uses Google's native Gemini `streamGenerateContent` API and may execute the same internal tool calls before producing final text.
- `fetch_url` sends browser-like navigation headers for outbound URL requests to reduce false 403s from sites that reject generic server clients.
- `hermes-agent`: backend uses the configured Hermes Agent OpenAI-compatible Chat Completions API. Sybil does not add its own tool definitions for this provider; Hermes Agent handles its own tools server-side. Custom Hermes stream events are normalized away unless they produce text deltas in this SSE contract.
- `openai`: image attachments are sent as Responses `input_image` items; text attachments are sent as `input_text` items.
- `gemini`: image attachments are sent as native Gemini `inlineData` parts; text attachments are inlined as text parts.
- `xai` and `hermes-agent`: image attachments are sent as Chat Completions content parts; text attachments are inlined as text parts.
- `openai`: Responses calls that can enter the server-managed tool loop use `store: true` so reasoning and function-call items can be passed between tool rounds.
- `anthropic`: streamed via event stream; emits `delta` from `content_block_delta` with `text_delta`, and emits normalized `tool_call` SSE events when Anthropic `tool_use` blocks are executed. Image attachments are sent as base64 `image` blocks and text attachments are appended as `text` blocks.
@@ -187,7 +184,7 @@ Terminal tool-call event:
- `shell_exec` is available only when `CHAT_SHELL_TOOL_ENABLED=true`. It uses the same devbox SSH configuration, starts in `CHAT_CODEX_REMOTE_WORKDIR`, and runs non-interactive shell commands there with SSH stdin closed, not inside the Sybil server container.
- `CHAT_MAX_TOOL_ROUNDS` controls how many model/tool result cycles may occur before the backend returns a tool-call limit message; default is 100.
Tool-enabled streaming notes (`openai`/`anthropic`/`xai`/`gemini`):
Tool-enabled streaming notes (`openai`/`anthropic`/`xai`):
- Stream still emits standard `meta`, `delta`, `done|error` events.
- Stream may emit `tool_call` events while tool calls are executed.
- `delta` events carry assistant text and are emitted incrementally for normal text rounds. The backend may buffer model-native text briefly while determining whether a provider round contains tool calls.
-3
View File
@@ -5,10 +5,7 @@ FASTLANE_HIDE_CHANGELOG=1
SYBIL_APP_STORE_APPLE_ID=6759442828
SYBIL_PROVIDER_PUBLIC_ID=c043d167-ad88-4036-84ea-76c223f1b1b2
SYBIL_PROVISIONING_PROFILE_SPECIFIER=Sybil AppStore CI
SYBIL_PROVISIONING_PROFILE_UUID=
SYBIL_CODE_SIGN_IDENTITY=Apple Distribution: James Magahern (DQQH5H6GBD)
SYBIL_XCODE_CODE_SIGN_IDENTITY=6B74B268C4761720FB2051D01D8BB3E47B55D9F5
SYBIL_EXPORT_SIGNING_CERTIFICATE=Apple Distribution
SYBIL_SIGNING_CERTIFICATE_ID=
SYBIL_SIGNING_KEYCHAIN=
-7
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@@ -21,12 +21,6 @@ Instructions for work under `/Users/buzzert/src/sybil-2/ios`.
- To choose a screenshot path, run `just screenshot path=build/name.png`.
- The underlying screenshot command is `xcrun simctl io booted screenshot <path>` and requires a booted simulator.
## Release Workflow
- iOS release tags use the annotated tag namespace `release/ios/vX.Y.Z`; increment from the latest existing `release/ios/v*` tag.
- Tag message convention is `ios: X.Y.Z`, for example `git tag -a release/ios/v1.13.5 -m "ios: 1.13.5"`.
- Push the release commit and tag together with `git push origin <branch> release/ios/vX.Y.Z`.
- Fastlane derives the marketing version from the release tag and stamps `ios/Apps/Sybil/project.yml` during CI, so do not manually bump `MARKETING_VERSION` for normal tagged releases unless explicitly requested.
## App Structure
- App target entry: `/Users/buzzert/src/sybil-2/ios/Apps/Sybil/Sources/SybilApp.swift`
- Shared iOS app code lives in Swift package:
@@ -57,5 +51,4 @@ Instructions for work under `/Users/buzzert/src/sybil-2/ios`.
- OpenAI: `gpt-4.1-mini`
- Anthropic: `claude-3-5-sonnet-latest`
- xAI: `grok-3-mini`
- Gemini: `gemini-3.5-flash`
- Hermes Agent: `hermes-agent`
+1 -7
View File
@@ -24,7 +24,7 @@ targets:
GENERATE_INFOPLIST_FILE: YES
INFOPLIST_FILE: Apps/Sybil/Info.plist
ASSETCATALOG_COMPILER_APPICON_NAME: AppIcon
MARKETING_VERSION: "1.13.2"
MARKETING_VERSION: "1.10"
CURRENT_PROJECT_VERSION: 11
INFOPLIST_KEY_CFBundleDisplayName: Sybil
INFOPLIST_KEY_ITSAppUsesNonExemptEncryption: NO
@@ -32,12 +32,6 @@ targets:
INFOPLIST_KEY_UILaunchScreen_Generation: YES
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPhone: UIInterfaceOrientationPortrait
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPad: UIInterfaceOrientationPortrait UIInterfaceOrientationPortraitUpsideDown UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight
configs:
Release:
CODE_SIGN_STYLE: Manual
CODE_SIGN_IDENTITY: Apple Distribution
"CODE_SIGN_IDENTITY[sdk=iphoneos*]": Apple Distribution
PROVISIONING_PROFILE_SPECIFIER: Sybil AppStore CI
schemes:
Sybil:
+1 -1
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@@ -1,3 +1,3 @@
source "https://rubygems.org"
gem "fastlane"
gem "fastlane", "~> 2.227"
+1 -1
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@@ -225,7 +225,7 @@ PLATFORMS
ruby
DEPENDENCIES
fastlane
fastlane (~> 2.227)
BUNDLED WITH
2.5.23
@@ -58,8 +58,7 @@ struct SybilChatTranscriptView: View {
.frame(height: 18 + bottomContentInset)
.id(bottomAnchorID)
}
.frame(maxWidth: SybilLayout.webContentMaxWidth, alignment: .leading)
.frame(maxWidth: .infinity, alignment: .center)
.frame(maxWidth: .infinity, alignment: .leading)
.padding(.horizontal, 14)
.padding(.top, 18 + topContentInset)
}
@@ -4,7 +4,6 @@ public enum Provider: String, Codable, CaseIterable, Hashable, Sendable {
case openai
case anthropic
case xai
case gemini
case hermesAgent = "hermes-agent"
public var displayName: String {
@@ -12,7 +11,6 @@ public enum Provider: String, Codable, CaseIterable, Hashable, Sendable {
case .openai: return "OpenAI"
case .anthropic: return "Anthropic"
case .xai: return "xAI"
case .gemini: return "Gemini"
case .hermesAgent: return "Hermes Agent"
}
}
@@ -98,8 +98,7 @@ struct SybilSearchResultsView: View {
.foregroundStyle(SybilTheme.danger)
}
}
.frame(maxWidth: SybilLayout.webContentMaxWidth, alignment: .leading)
.frame(maxWidth: .infinity, alignment: .center)
.frame(maxWidth: .infinity, alignment: .leading)
.padding(.horizontal, 14)
.padding(.top, 20 + topContentInset)
.padding(.bottom, 20 + bottomContentInset)
@@ -11,13 +11,11 @@ final class SybilSettingsStore {
static let preferredOpenAIModel = "sybil.ios.preferredOpenAIModel"
static let preferredAnthropicModel = "sybil.ios.preferredAnthropicModel"
static let preferredXAIModel = "sybil.ios.preferredXAIModel"
static let preferredGeminiModel = "sybil.ios.preferredGeminiModel"
static let preferredHermesAgentModel = "sybil.ios.preferredHermesAgentModel"
static let quickQuestionPreferredProvider = "sybil.ios.quickQuestionPreferredProvider"
static let quickQuestionPreferredOpenAIModel = "sybil.ios.quickQuestionPreferredOpenAIModel"
static let quickQuestionPreferredAnthropicModel = "sybil.ios.quickQuestionPreferredAnthropicModel"
static let quickQuestionPreferredXAIModel = "sybil.ios.quickQuestionPreferredXAIModel"
static let quickQuestionPreferredGeminiModel = "sybil.ios.quickQuestionPreferredGeminiModel"
static let quickQuestionPreferredHermesAgentModel = "sybil.ios.quickQuestionPreferredHermesAgentModel"
}
@@ -46,7 +44,6 @@ final class SybilSettingsStore {
.openai: defaults.string(forKey: Keys.preferredOpenAIModel) ?? "gpt-4.1-mini",
.anthropic: defaults.string(forKey: Keys.preferredAnthropicModel) ?? "claude-3-5-sonnet-latest",
.xai: defaults.string(forKey: Keys.preferredXAIModel) ?? "grok-3-mini",
.gemini: defaults.string(forKey: Keys.preferredGeminiModel) ?? "gemini-3.5-flash",
.hermesAgent: defaults.string(forKey: Keys.preferredHermesAgentModel) ?? "hermes-agent"
]
self.preferredModelByProvider = preferredModels
@@ -57,7 +54,6 @@ final class SybilSettingsStore {
.openai: defaults.string(forKey: Keys.quickQuestionPreferredOpenAIModel) ?? preferredModels[.openai] ?? "gpt-4.1-mini",
.anthropic: defaults.string(forKey: Keys.quickQuestionPreferredAnthropicModel) ?? preferredModels[.anthropic] ?? "claude-3-5-sonnet-latest",
.xai: defaults.string(forKey: Keys.quickQuestionPreferredXAIModel) ?? preferredModels[.xai] ?? "grok-3-mini",
.gemini: defaults.string(forKey: Keys.quickQuestionPreferredGeminiModel) ?? preferredModels[.gemini] ?? "gemini-3.5-flash",
.hermesAgent: defaults.string(forKey: Keys.quickQuestionPreferredHermesAgentModel) ?? preferredModels[.hermesAgent] ?? "hermes-agent"
]
}
@@ -76,14 +72,12 @@ final class SybilSettingsStore {
defaults.set(preferredModelByProvider[.openai], forKey: Keys.preferredOpenAIModel)
defaults.set(preferredModelByProvider[.anthropic], forKey: Keys.preferredAnthropicModel)
defaults.set(preferredModelByProvider[.xai], forKey: Keys.preferredXAIModel)
defaults.set(preferredModelByProvider[.gemini], forKey: Keys.preferredGeminiModel)
defaults.set(preferredModelByProvider[.hermesAgent], forKey: Keys.preferredHermesAgentModel)
defaults.set(quickQuestionPreferredProvider.rawValue, forKey: Keys.quickQuestionPreferredProvider)
defaults.set(quickQuestionPreferredModelByProvider[.openai], forKey: Keys.quickQuestionPreferredOpenAIModel)
defaults.set(quickQuestionPreferredModelByProvider[.anthropic], forKey: Keys.quickQuestionPreferredAnthropicModel)
defaults.set(quickQuestionPreferredModelByProvider[.xai], forKey: Keys.quickQuestionPreferredXAIModel)
defaults.set(quickQuestionPreferredModelByProvider[.gemini], forKey: Keys.quickQuestionPreferredGeminiModel)
defaults.set(quickQuestionPreferredModelByProvider[.hermesAgent], forKey: Keys.quickQuestionPreferredHermesAgentModel)
}
@@ -64,10 +64,6 @@ extension Font {
}
}
enum SybilLayout {
static let webContentMaxWidth: CGFloat = 896
}
enum SybilTheme {
static let background = Color(red: 0.02, green: 0.02, blue: 0.05)
static let surface = Color(red: 0.05, green: 0.04, blue: 0.10)
@@ -160,7 +160,6 @@ final class SybilViewModel {
.openai: ["gpt-4.1-mini"],
.anthropic: ["claude-3-5-sonnet-latest"],
.xai: ["grok-3-mini"],
.gemini: ["gemini-3.5-flash", "gemini-flash-latest"],
.hermesAgent: ["hermes-agent"]
]
+9
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@@ -0,0 +1,9 @@
require "dotenv"
Dotenv.load(File.expand_path("../.env", __dir__))
app_identifier(ENV.fetch("FASTLANE_APP_IDENTIFIER", "net.buzzert.sybil2"))
team_id(ENV.fetch("FASTLANE_TEAM_ID", "DQQH5H6GBD"))
apple_id(ENV["FASTLANE_USER"]) if ENV["FASTLANE_USER"].to_s.strip.length.positive?
itc_team_id(ENV["FASTLANE_ITC_TEAM_ID"]) if ENV["FASTLANE_ITC_TEAM_ID"].to_s.strip.length.positive?
+58
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@@ -0,0 +1,58 @@
# TestFlight Release CI
Gitea Actions publishes iOS releases from tags that match:
```sh
release/vN.N.N
```
For example:
```sh
git tag release/v1.10.0
git push origin release/v1.10.0
```
The release job runs on the `xcode` runner label, imports the signing p12 into
a temporary keychain, installs the App Store provisioning profile, builds and
uploads the app with fastlane, then creates or updates the matching Gitea
release with the generated IPA as an asset. The job deletes the temporary
signing keychain in an `always()` cleanup step.
Required repository secrets:
```text
APP_STORE_CONNECT_API_KEY_ID
APP_STORE_CONNECT_API_ISSUER_ID
APP_STORE_CONNECT_API_KEY_CONTENT
APPSTORE_CERTIFICATES_FILE_BASE64
APPSTORE_CERTIFICATES_PASSWORD
APPSTORE_PROVISIONING_PROFILE_BASE64
```
Generate or refresh the signing assets locally with:
```sh
cd ios
fastlane ios create_ci_signing
```
The generated `build/signing/ci-secrets.env` file is ignored by Git. Copy its
certificate and provisioning profile values into the repository secrets listed
above. The workflow uses the `Sybil AppStore CI` provisioning profile name by
default.
If the Apple team has reached the Distribution certificate limit, set
`SYBIL_SIGNING_CERTIFICATE_ID` to the portal id for a certificate whose private
key exists in the local login keychain before running `create_ci_signing`. The
lane will export the local identity and create the provisioning profile against
that existing certificate instead of creating another Distribution certificate.
If `create_ci_signing` fails with an expired or missing agreement error, the
Apple Developer Program account holder must accept the current agreements in
App Store Connect before new certificates or provisioning profiles can be
created through the API.
The workflow uses Gitea's built-in `GITEA_TOKEN` for release creation and asset
upload, with `contents: write` permissions. In Gitea this covers release asset
publication.
+340 -112
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@@ -1,164 +1,392 @@
require "dotenv"
require "base64"
require "fileutils"
require "json"
require "net/http"
require "open3"
require "openssl"
require "securerandom"
require "shellwords"
require "uri"
require "yaml"
Dotenv.load(File.expand_path("../.env", __dir__))
default_platform(:ios)
APP_IDENTIFIER = "net.buzzert.sybil2"
SCHEME = "Sybil"
TEAM_ID = "DQQH5H6GBD"
PROFILE_NAME = "Sybil AppStore CI"
CI_KEYCHAIN_NAME = "sybil_ci_keychain"
CI_KEYCHAIN_PASSWORD = "sybil-ci-keychain-password"
CI_KEYCHAIN_DB_PATH = File.expand_path("~/Library/Keychains/#{CI_KEYCHAIN_NAME}-db")
APP_IDENTIFIER = ENV.fetch("FASTLANE_APP_IDENTIFIER", "net.buzzert.sybil2")
TEAM_ID = ENV.fetch("FASTLANE_TEAM_ID", "DQQH5H6GBD")
APP_STORE_APPLE_ID = ENV.fetch("SYBIL_APP_STORE_APPLE_ID", "6759442828")
PROVIDER_PUBLIC_ID = ENV.fetch("SYBIL_PROVIDER_PUBLIC_ID", "c043d167-ad88-4036-84ea-76c223f1b1b2")
PROFILE_SPECIFIER = ENV["SYBIL_PROVISIONING_PROFILE_SPECIFIER"].to_s.strip.empty? ? "Sybil AppStore CI" : ENV["SYBIL_PROVISIONING_PROFILE_SPECIFIER"]
SIGNING_CERTIFICATE_NAME = ENV["SYBIL_CODE_SIGN_IDENTITY"].to_s.strip.empty? ? "Apple Distribution: James Magahern (DQQH5H6GBD)" : ENV["SYBIL_CODE_SIGN_IDENTITY"]
IOS_ROOT = File.expand_path("..", __dir__)
PROJECT_FILE = File.join(IOS_ROOT, "Sybil.xcodeproj")
PROJECT_SPEC = File.join(IOS_ROOT, "project.yml")
APP_PROJECT_SPEC = File.join(IOS_ROOT, "Apps/Sybil/project.yml")
APP_SPEC = File.join(IOS_ROOT, "Apps/Sybil/project.yml")
SIGNING_OUTPUT_DIR = File.join(IOS_ROOT, "build/signing")
SCHEME = "Sybil"
TARGET = "SybilApp"
def present?(value)
!value.to_s.strip.empty?
end
def ci?
present?(ENV["CI"])
def capture(command)
stdout, stderr, status = Open3.capture3(command)
return stdout.strip if status.success?
UI.user_error!("Command failed: #{command}\n#{stderr.strip}")
end
def run_silent(*command, error_message:)
_stdout, stderr, status = Open3.capture3(*command)
return if status.success?
UI.user_error!("#{error_message}\n#{stderr.strip}")
end
def user_keychains
capture("security list-keychains -d user").lines.map { |line| line.strip.delete('"') }.reject(&:empty?)
end
def app_project_settings
YAML.safe_load(File.read(APP_SPEC)).fetch("targets").fetch(TARGET).fetch("settings").fetch("base")
end
def local_marketing_version
app_project_settings.fetch("MARKETING_VERSION").to_s
end
def local_build_number
app_project_settings.fetch("CURRENT_PROJECT_VERSION").to_i
end
def normalize_version_tag(tag)
version = tag.to_s.strip.sub(%r{\Arelease/}, "").sub(/\Av/, "")
unless version.match?(/\A\d+\.\d+\.\d+\z/)
UI.user_error!("Release tag #{tag.inspect} must look like release/v1.10.0")
end
version
end
def release_version
tag = ENV["SYBIL_VERSION_TAG"]
tag = ENV["GITHUB_REF_NAME"] if !present?(tag)
tag = ENV["GITHUB_REF"].to_s.sub(%r{\Arefs/tags/}, "") if !present?(tag)
tag = sh("git describe --tags --abbrev=0").strip if !present?(tag)
match = tag.to_s.match(%r{\Arelease/ios/v(\d+\.\d+\.\d+)\z})
unless match
UI.user_error!("Release tag must look like release/ios/v1.2.3; got #{tag.inspect}")
end
match[1]
tag = capture("git describe --tags --abbrev=0") unless present?(tag)
normalize_version_tag(tag)
end
# App Store Connect requires CFBundleVersion to be unique and strictly
# increasing app-wide (not just per marketing version), so we derive it from
# the monotonic CI run number rather than querying TestFlight (that query can
# lag behind builds still processing and hand back a colliding value).
def build_number
value = present?(ENV["SYBIL_BUILD_NUMBER"]) ? ENV["SYBIL_BUILD_NUMBER"] : ENV["GITHUB_RUN_NUMBER"]
unless value.to_s.match?(/\A\d+\z/)
UI.user_error!("Build number must come from SYBIL_BUILD_NUMBER/GITHUB_RUN_NUMBER; got #{value.inspect}")
end
value.to_i
def xcode_build_setting(key, value)
"#{key}=#{value.to_s.shellescape}"
end
def stamp_marketing_version(version)
contents = File.read(APP_PROJECT_SPEC)
updated = contents.sub(/^(\s*MARKETING_VERSION:\s*).*/, "\\1\"#{version}\"")
def env_line(key, value)
"#{key}=#{value.to_s.shellescape}"
end
if updated == contents
UI.user_error!("Could not find MARKETING_VERSION in #{APP_PROJECT_SPEC}")
def base64url(value)
Base64.urlsafe_encode64(value).delete("=")
end
def integer_to_fixed_bytes(integer, length)
hex = integer.to_s(16)
hex = "0#{hex}" if hex.length.odd?
[hex].pack("H*").rjust(length, "\0")[-length, length]
end
def app_store_connect_private_key
key_path = ENV["APP_STORE_CONNECT_API_KEY_PATH"]
key_content = ENV["APP_STORE_CONNECT_API_KEY_CONTENT"]
pem = if present?(key_path)
File.read(key_path)
elsif present?(key_content)
ENV["APP_STORE_CONNECT_API_KEY_CONTENT_BASE64"].to_s == "true" ? Base64.decode64(key_content) : key_content
end
UI.user_error!("App Store Connect API key content is required") unless present?(pem)
OpenSSL::PKey::EC.new(pem)
end
def app_store_connect_jwt
key_id = ENV["APP_STORE_CONNECT_API_KEY_ID"]
issuer_id = ENV["APP_STORE_CONNECT_API_ISSUER_ID"]
issuer_id = ENV["APP_STORE_CONNECT_API_KEY_ISSUER_ID"] unless present?(issuer_id)
UI.user_error!("App Store Connect API key id and issuer id are required") unless present?(key_id) && present?(issuer_id)
header = { alg: "ES256", kid: key_id, typ: "JWT" }
payload = { iss: issuer_id, iat: Time.now.to_i, exp: Time.now.to_i + 600, aud: "appstoreconnect-v1" }
unsigned = [base64url(header.to_json), base64url(payload.to_json)].join(".")
asn1_signature = app_store_connect_private_key.dsa_sign_asn1(OpenSSL::Digest::SHA256.digest(unsigned))
signature_sequence = OpenSSL::ASN1.decode(asn1_signature)
raw_signature = signature_sequence.value.map { |part| integer_to_fixed_bytes(part.value, 32) }.join
[unsigned, base64url(raw_signature)].join(".")
end
def app_store_connect_request(method, path, payload = nil)
uri = URI("https://api.appstoreconnect.apple.com#{path}")
request_class = Net::HTTP.const_get(method.to_s.capitalize)
request = request_class.new(uri)
request["Authorization"] = "Bearer #{app_store_connect_jwt}"
if payload
request["Content-Type"] = "application/json"
request.body = payload.to_json
end
File.write(APP_PROJECT_SPEC, updated)
response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |http| http.request(request) }
return {} if response.is_a?(Net::HTTPSuccess) && response.body.to_s.empty?
return JSON.parse(response.body) if response.is_a?(Net::HTTPSuccess)
UI.user_error!("App Store Connect API request failed: #{method.to_s.upcase} #{path}\n#{response.body}")
end
def bundle_id_resource_id
response = app_store_connect_request(
:get,
"/v1/bundleIds?filter[identifier]=#{URI.encode_www_form_component(APP_IDENTIFIER)}&limit=1"
)
id = response.fetch("data", []).first&.fetch("id", nil)
UI.user_error!("Could not find App Store Connect bundle id resource for #{APP_IDENTIFIER}") unless present?(id)
id
end
def recreate_app_store_profile(certificate_id)
existing = app_store_connect_request(
:get,
"/v1/profiles?filter[name]=#{URI.encode_www_form_component(PROFILE_SPECIFIER)}&limit=200"
)
existing.fetch("data", []).each do |profile|
app_store_connect_request(:delete, "/v1/profiles/#{profile.fetch("id")}")
end
payload = {
data: {
type: "profiles",
attributes: {
name: PROFILE_SPECIFIER,
profileType: "IOS_APP_STORE"
},
relationships: {
bundleId: {
data: { type: "bundleIds", id: bundle_id_resource_id }
},
certificates: {
data: [{ type: "certificates", id: certificate_id }]
}
}
}
}
response = app_store_connect_request(:post, "/v1/profiles", payload)
profile_content = response.dig("data", "attributes", "profileContent")
UI.user_error!("App Store Connect profile response did not include profileContent") unless present?(profile_content)
profile_path = File.join(SIGNING_OUTPUT_DIR, "Sybil_AppStore_CI.mobileprovision")
File.binwrite(profile_path, Base64.decode64(profile_content))
install_dir = File.expand_path("~/Library/MobileDevice/Provisioning Profiles")
FileUtils.mkdir_p(install_dir)
FileUtils.cp(profile_path, File.join(install_dir, "Sybil_AppStore_CI.mobileprovision"))
profile_path
end
def app_store_connect_key_options
key_id = ENV["APP_STORE_CONNECT_API_KEY_ID"]
issuer_id = ENV["APP_STORE_CONNECT_API_ISSUER_ID"]
issuer_id = ENV["APP_STORE_CONNECT_API_KEY_ISSUER_ID"] unless present?(issuer_id)
return nil unless present?(key_id) && present?(issuer_id)
key_path = ENV["APP_STORE_CONNECT_API_KEY_PATH"]
key_content = ENV["APP_STORE_CONNECT_API_KEY_CONTENT"]
if present?(key_path)
{
key_id: key_id,
issuer_id: issuer_id,
key_filepath: key_path
}
elsif present?(key_content)
{
key_id: key_id,
issuer_id: issuer_id,
key_content: key_content,
is_key_content_base64: ENV["APP_STORE_CONNECT_API_KEY_CONTENT_BASE64"].to_s == "true"
}
end
end
platform :ios do
private_lane :app_store_api_key do
app_store_connect_api_key(
key_id: ENV.fetch("APP_STORE_CONNECT_KEY_ID"),
issuer_id: ENV.fetch("APP_STORE_CONNECT_ISSUER_ID"),
key_content: ENV.fetch("APP_STORE_CONNECT_KEY_CONTENT"),
is_key_content_base64: true
)
private_lane :load_app_store_connect_api_key do
options = app_store_connect_key_options
UI.user_error!("App Store Connect API key is required") unless options
app_store_connect_api_key(options)
end
# CI signs headlessly, so match needs a fresh unlocked keychain to import
# into. codesign resolves identities through the user keychain *search list*
# (first match wins; the --keychain flag does not restrict the lookup), and
# other projects' keychains on this runner hold the same identity but are
# usually locked — so ours must come first. delete_keychain in the beta
# lane's ensure removes both the keychain and its search-list entry, which
# also keeps our (later locked) copy from shadowing those other projects.
private_lane :prepare_ci_keychain do
next unless ci?
delete_keychain(name: CI_KEYCHAIN_NAME) if File.file?(CI_KEYCHAIN_DB_PATH)
create_keychain(
name: CI_KEYCHAIN_NAME,
password: CI_KEYCHAIN_PASSWORD,
unlock: true,
timeout: 3600,
add_to_search_list: false
)
others = sh("security list-keychains -d user", log: false)
.scan(/"([^"]+)"/)
.flatten
.reject { |path| path.include?(CI_KEYCHAIN_NAME) }
sh("security list-keychains -d user -s #{([CI_KEYCHAIN_DB_PATH] + others).shelljoin}")
ENV["MATCH_KEYCHAIN_NAME"] = CI_KEYCHAIN_NAME
ENV["MATCH_KEYCHAIN_PASSWORD"] = CI_KEYCHAIN_PASSWORD
desc "Show the version Fastlane will stamp into the next TestFlight archive"
lane :version do
UI.message("Git tag version: #{release_version}")
UI.message("Checked-in app version: #{local_marketing_version}")
UI.message("Checked-in build number: #{local_build_number}")
end
private_lane :sync_signing do |options|
match(
type: "appstore",
readonly: options.fetch(:readonly),
app_identifier: APP_IDENTIFIER,
team_id: TEAM_ID,
profile_name: PROFILE_NAME,
git_url: ENV.fetch("MATCH_GIT_URL"),
git_branch: "master",
git_full_name: "Sybil Release Bot",
git_user_email: "james.magahern@me.com",
api_key: options.fetch(:api_key)
)
desc "Create CI signing certificate/profile and write ignored secret material under build/signing"
lane :create_ci_signing do
api_key = load_app_store_connect_api_key
FileUtils.rm_rf(SIGNING_OUTPUT_DIR)
FileUtils.mkdir_p(SIGNING_OUTPUT_DIR)
cert_id = ENV["SYBIL_SIGNING_CERTIFICATE_ID"].to_s
keychain_path = nil
keychain_password = nil
p12_path = File.join(SIGNING_OUTPUT_DIR, "appstore-signing.p12")
p12_password = ENV["SYBIL_CI_P12_PASSWORD"].to_s
if p12_password.empty?
p12_password = SecureRandom.base64(24)
UI.important("Generated a p12 password for CI secrets.")
end
begin
if present?(cert_id)
UI.message("Using existing signing certificate id #{cert_id}")
export_keychain = ENV["SYBIL_SIGNING_KEYCHAIN"].to_s
export_keychain = File.expand_path("~/Library/Keychains/login.keychain-db") unless present?(export_keychain)
run_silent(
"security", "export", "-k", export_keychain, "-t", "identities", "-f", "pkcs12", "-P", p12_password, "-o", p12_path,
error_message: "Could not export the local CI signing identity"
)
else
keychain_path = File.join(SIGNING_OUTPUT_DIR, "sybil_ci_signing.keychain-db")
keychain_password = SecureRandom.base64(24)
run_silent(
"security", "create-keychain", "-p", keychain_password, keychain_path,
error_message: "Could not create temporary signing keychain"
)
run_silent(
"security", "set-keychain-settings", "-lut", "21600", keychain_path,
error_message: "Could not configure temporary signing keychain"
)
run_silent(
"security", "unlock-keychain", "-p", keychain_password, keychain_path,
error_message: "Could not unlock temporary signing keychain"
)
run_silent(
"security", "list-keychains", "-d", "user", "-s", keychain_path, *user_keychains,
error_message: "Could not add temporary signing keychain to the user search list"
)
cert(
api_key: api_key,
development: false,
force: true,
generate_apple_certs: true,
keychain_password: keychain_password,
keychain_path: keychain_path,
output_path: SIGNING_OUTPUT_DIR,
platform: "ios"
)
cert_id = lane_context[SharedValues::CERT_CERTIFICATE_ID]
UI.user_error!("Could not resolve generated certificate id") unless present?(cert_id)
run_silent(
"security", "export", "-k", keychain_path, "-t", "identities", "-f", "pkcs12", "-P", p12_password, "-o", p12_path,
error_message: "Could not export the generated CI signing identity"
)
end
UI.user_error!("Could not find exported p12 at #{p12_path}") unless File.exist?(p12_path)
profile_path = recreate_app_store_profile(cert_id)
UI.user_error!("Could not resolve generated provisioning profile path") unless present?(profile_path) && File.exist?(profile_path)
secrets_path = File.join(SIGNING_OUTPUT_DIR, "ci-secrets.env")
File.write(
secrets_path,
[
env_line("APPSTORE_CERTIFICATES_FILE_BASE64", Base64.strict_encode64(File.binread(p12_path))),
env_line("APPSTORE_CERTIFICATES_PASSWORD", p12_password),
env_line("APPSTORE_PROVISIONING_PROFILE_BASE64", Base64.strict_encode64(File.binread(profile_path))),
env_line("SYBIL_PROVISIONING_PROFILE_SPECIFIER", PROFILE_SPECIFIER)
].join("\n") + "\n"
)
ensure
system("security", "delete-keychain", keychain_path, out: File::NULL, err: File::NULL) if present?(keychain_path) && File.exist?(keychain_path)
end
UI.success("Created CI signing files in #{SIGNING_OUTPUT_DIR}")
UI.important("Add the values from #{secrets_path} as repository secrets.")
end
desc "Create or update match signing assets"
lane :setup_signing do
sync_signing(api_key: app_store_api_key, readonly: false)
end
desc "Build and upload to TestFlight"
desc "Build Sybil and upload it to TestFlight"
lane :beta do
prepare_ci_keychain
api_key = app_store_api_key
version = release_version
stamp_marketing_version(version)
sh("xcodegen", "--spec", PROJECT_SPEC)
build_number = ENV["SYBIL_BUILD_NUMBER"].to_s
api_key = load_app_store_connect_api_key
increment_version_number(version_number: version, xcodeproj: PROJECT_FILE)
increment_build_number(build_number: build_number, xcodeproj: PROJECT_FILE)
unless present?(build_number)
build_number = (local_build_number + 1).to_s
sync_signing(api_key: api_key, readonly: true)
begin
latest = latest_testflight_build_number(
app_identifier: APP_IDENTIFIER,
version: version,
api_key: api_key,
initial_build_number: local_build_number
).to_i
build_number = [latest + 1, local_build_number + 1].max.to_s
rescue StandardError => e
UI.important("Could not look up TestFlight build number: #{e.message}")
UI.important("Using checked-in build number + 1: #{build_number}")
end
end
build_app(
UI.user_error!("Build number must be a positive integer") unless build_number.match?(/\A[1-9]\d*\z/)
sh("xcodegen --spec #{PROJECT_SPEC.shellescape}")
xcode_args = [
xcode_build_setting("MARKETING_VERSION", version),
xcode_build_setting("CURRENT_PROJECT_VERSION", build_number),
xcode_build_setting("CODE_SIGN_STYLE", "Manual"),
xcode_build_setting("DEVELOPMENT_TEAM", TEAM_ID),
xcode_build_setting("PROVISIONING_PROFILE_SPECIFIER", PROFILE_SPECIFIER),
xcode_build_setting("CODE_SIGN_IDENTITY", SIGNING_CERTIFICATE_NAME)
]
if present?(ENV["SYBIL_SIGNING_KEYCHAIN_PATH"])
xcode_args << xcode_build_setting("OTHER_CODE_SIGN_FLAGS", "--keychain #{ENV.fetch("SYBIL_SIGNING_KEYCHAIN_PATH")}")
end
xcode_args = xcode_args.join(" ")
ipa_path = build_app(
project: PROJECT_FILE,
scheme: SCHEME,
clean: true,
sdk: "iphoneos",
export_method: "app-store",
xcargs: [
"DEVELOPMENT_TEAM=#{TEAM_ID.shellescape}",
"CODE_SIGN_STYLE=Manual",
"CODE_SIGN_IDENTITY=Apple\\ Distribution",
"PROVISIONING_PROFILE_SPECIFIER=#{PROFILE_NAME.shellescape}"
].join(" "),
output_directory: File.join(IOS_ROOT, "build/fastlane"),
output_name: "Sybil-#{version}-#{build_number}.ipa",
xcargs: xcode_args,
export_options: {
method: "app-store",
destination: "export",
signingStyle: "manual",
teamID: TEAM_ID,
provisioningProfiles: {
APP_IDENTIFIER => PROFILE_NAME
}
APP_IDENTIFIER => PROFILE_SPECIFIER
},
signingCertificate: SIGNING_CERTIFICATE_NAME,
teamID: TEAM_ID,
manageAppVersionAndBuildNumber: false,
uploadSymbols: true,
stripSwiftSymbols: true
}
)
ipa_path ||= lane_context[SharedValues::IPA_OUTPUT_PATH]
UI.user_error!("IPA export failed; no IPA path was returned") unless present?(ipa_path) && File.exist?(ipa_path)
upload_to_testflight(
api_key: api_key,
app_identifier: APP_IDENTIFIER,
ipa: ipa_path,
skip_waiting_for_build_processing: true
)
ensure
delete_keychain(name: CI_KEYCHAIN_NAME) if ci? && File.file?(CI_KEYCHAIN_DB_PATH)
end
end
+48
View File
@@ -0,0 +1,48 @@
fastlane documentation
----
# Installation
Make sure you have the latest version of the Xcode command line tools installed:
```sh
xcode-select --install
```
For _fastlane_ installation instructions, see [Installing _fastlane_](https://docs.fastlane.tools/#installing-fastlane)
# Available Actions
## iOS
### ios version
```sh
[bundle exec] fastlane ios version
```
Show the version Fastlane will stamp into the next TestFlight archive
### ios create_ci_signing
```sh
[bundle exec] fastlane ios create_ci_signing
```
Create CI signing certificate/profile and write ignored secret material under build/signing
### ios beta
```sh
[bundle exec] fastlane ios beta
```
Build Sybil and upload it to TestFlight
----
This README.md is auto-generated and will be re-generated every time [_fastlane_](https://fastlane.tools) is run.
More information about _fastlane_ can be found on [fastlane.tools](https://fastlane.tools).
The documentation of _fastlane_ can be found on [docs.fastlane.tools](https://docs.fastlane.tools).
+3 -4
View File
@@ -1,7 +1,7 @@
# Sybil Server
Backend API for:
- LLM multiplexer (OpenAI Responses / Anthropic / xAI Chat Completions-compatible Grok / Gemini / Hermes Agent)
- LLM multiplexer (OpenAI Responses / Anthropic / xAI Chat Completions-compatible Grok / Hermes Agent)
- Personal chat database (chats/messages + LLM call log)
## Stack
@@ -43,7 +43,6 @@ If `ADMIN_TOKEN` is not set, the server runs in open mode (dev).
- `OPENAI_API_KEY`
- `ANTHROPIC_API_KEY`
- `XAI_API_KEY`
- `GEMINI_API_KEY`
- `HERMES_AGENT_API_BASE_URL` (`http://127.0.0.1:8642/v1` by default; include the `/v1` suffix)
- `HERMES_AGENT_API_KEY` (enables the Hermes Agent provider; set to Hermes `API_SERVER_KEY`, or any non-empty value if that local server does not require auth)
- `HERMES_AGENT_MODEL` (optional fallback/override model id; defaults client-side to `hermes-agent`)
@@ -51,7 +50,7 @@ If `ADMIN_TOKEN` is not set, the server runs in open mode (dev).
- `CHAT_WEB_SEARCH_ENGINE` (`exa` by default, or `searxng` for chat tool calls only)
- `SEARXNG_BASE_URL` (required when `CHAT_WEB_SEARCH_ENGINE=searxng`; instance must allow `format=json`)
- `CHAT_MAX_TOOL_ROUNDS` (`100` by default; maximum model/tool result cycles per chat completion)
- `CHAT_CODEX_TOOL_ENABLED` (`false` by default; enables the `codex_exec` chat tool for managed-tool providers)
- `CHAT_CODEX_TOOL_ENABLED` (`false` by default; enables the `codex_exec` chat tool for OpenAI/xAI)
- `CHAT_CODEX_REMOTE_HOST` (required when Codex tool is enabled; SSH host/IP or `user@host`)
- `CHAT_CODEX_REMOTE_USER` (optional SSH user when host does not include one)
- `CHAT_CODEX_REMOTE_PORT` (`22` by default)
@@ -59,7 +58,7 @@ If `ADMIN_TOKEN` is not set, the server runs in open mode (dev).
- `CHAT_CODEX_SSH_KEY_PATH` (recommended: path to a read-only mounted private key)
- `CHAT_CODEX_SSH_PRIVATE_KEY_B64` (optional fallback private key delivery)
- `CHAT_CODEX_EXEC_TIMEOUT_MS` (`600000` by default)
- `CHAT_SHELL_TOOL_ENABLED` (`false` by default; enables the `shell_exec` chat tool for managed-tool providers on the same devbox)
- `CHAT_SHELL_TOOL_ENABLED` (`false` by default; enables the `shell_exec` chat tool for OpenAI/xAI on the same devbox)
- `CHAT_SHELL_EXEC_TIMEOUT_MS` (`120000` by default)
## API
-1
View File
@@ -13,7 +13,6 @@ enum Provider {
openai
anthropic
xai
gemini
hermes_agent @map("hermes-agent")
}
-1
View File
@@ -66,7 +66,6 @@ const EnvSchema = z.object({
OPENAI_API_KEY: z.string().optional(),
ANTHROPIC_API_KEY: z.string().optional(),
XAI_API_KEY: z.string().optional(),
GEMINI_API_KEY: z.string().optional(),
HERMES_AGENT_API_BASE_URL: HermesAgentApiBaseUrlSchema,
HERMES_AGENT_API_KEY: OptionalTrimmedStringSchema,
HERMES_AGENT_MODEL: OptionalTrimmedStringSchema,
-501
View File
@@ -1,501 +0,0 @@
import {
buildChatToolSystemPrompt,
executeToolCallAndBuildEvent,
getEnabledChatTools,
getUnstreamedText,
looksLikeDanglingToolIntent,
MAX_DANGLING_TOOL_INTENT_RETRIES,
MAX_TOOL_ROUNDS,
prepareToolCallExecution,
type NormalizedToolCall,
type ToolAwareCompletionParams,
type ToolAwareCompletionResult,
type ToolAwareStreamingEvent,
type ToolAwareUsage,
type ToolExecutionEvent,
} from "../chat-tools.js";
import {
buildImageSummaryText,
buildTextAttachmentPrompt,
buildTopLevelSystemPrompt,
getImageAttachments,
getTextAttachments,
parseImageDataUrl,
} from "../message-content.js";
import type { ChatMessage } from "../types.js";
type GeminiClient = {
apiKey: string;
baseURL: string;
};
const INTERNAL_CORRECTION =
"Internal correction: the previous assistant message claimed it would run a tool, but no tool call was made. If the task needs an available tool, call it now. Otherwise provide the final answer directly without saying you will run a tool.";
function normalizeModelResourceName(model: string) {
const trimmed = model.trim().replace(/^\/+/, "");
return trimmed.startsWith("models/") || trimmed.startsWith("tunedModels/") ? trimmed : `models/${trimmed}`;
}
function geminiUrl(client: GeminiClient, model: string, method: "generateContent" | "streamGenerateContent", extraParams: Record<string, string> = {}) {
const url = new URL(`${client.baseURL.replace(/\/+$/, "")}/${normalizeModelResourceName(model)}:${method}`);
url.searchParams.set("key", client.apiKey);
for (const [key, value] of Object.entries(extraParams)) {
url.searchParams.set(key, value);
}
return url;
}
function generationConfig(params: Pick<ToolAwareCompletionParams, "temperature" | "maxTokens">) {
const config: Record<string, unknown> = {};
if (params.temperature !== undefined) config.temperature = params.temperature;
if (params.maxTokens !== undefined) config.maxOutputTokens = params.maxTokens;
return Object.keys(config).length ? config : undefined;
}
function toGeminiJsonSchema(schema: unknown): Record<string, unknown> | undefined {
if (!schema || typeof schema !== "object" || Array.isArray(schema)) return undefined;
const input = schema as Record<string, unknown>;
const output: Record<string, unknown> = {};
if (typeof input.type === "string") output.type = input.type;
if (typeof input.description === "string") output.description = input.description;
if (typeof input.format === "string") output.format = input.format;
if (typeof input.nullable === "boolean") output.nullable = input.nullable;
if (Array.isArray(input.enum)) output.enum = input.enum.filter((value) => typeof value === "string");
if (Array.isArray(input.required)) output.required = input.required.filter((value) => typeof value === "string");
const items = toGeminiJsonSchema(input.items);
if (items) output.items = items;
if (input.properties && typeof input.properties === "object" && !Array.isArray(input.properties)) {
const properties: Record<string, unknown> = {};
for (const [key, value] of Object.entries(input.properties)) {
const propertySchema = toGeminiJsonSchema(value);
if (propertySchema) properties[key] = propertySchema;
}
if (Object.keys(properties).length) output.properties = properties;
}
return Object.keys(output).length ? output : undefined;
}
function toGeminiTools(tools: any[]) {
const functionDeclarations = tools
.map((tool) => {
if (tool?.type !== "function") return null;
const declaration: Record<string, unknown> = {
name: tool.function.name,
description: tool.function.description,
};
const parameters = toGeminiJsonSchema(tool.function.parameters);
if (parameters) declaration.parameters = parameters;
return declaration;
})
.filter(Boolean);
return functionDeclarations.length ? [{ functionDeclarations }] : undefined;
}
function toContentParts(message: ChatMessage) {
const imageAttachments = getImageAttachments(message);
const textAttachments = getTextAttachments(message);
const parts: Array<Record<string, unknown>> = [];
for (const attachment of imageAttachments) {
const source = parseImageDataUrl(attachment);
parts.push({
inlineData: {
mimeType: source.mediaType,
data: source.data,
},
});
}
const imageSummary = buildImageSummaryText(imageAttachments);
if (imageSummary) {
parts.push({ text: imageSummary });
}
for (const attachment of textAttachments) {
parts.push({ text: buildTextAttachmentPrompt(attachment) });
}
if (message.content.trim()) {
parts.push({ text: message.content });
}
return parts.length ? parts : [{ text: "" }];
}
function buildConversationContent(message: ChatMessage) {
if (message.role === "system") {
throw new Error("System messages must be handled separately for Gemini.");
}
if (message.role === "tool") {
const name = message.name?.trim() || "tool";
return {
role: "user",
parts: [{ text: `Tool output (${name}):\n${message.content}` }],
};
}
return {
role: message.role === "assistant" ? "model" : "user",
parts: toContentParts(message),
};
}
function buildBaseContents(messages: ChatMessage[]) {
return messages.filter((message) => message.role !== "system").map((message) => buildConversationContent(message));
}
function buildSystemInstruction(params: ToolAwareCompletionParams, toolSystemPrompt?: string) {
const text = buildTopLevelSystemPrompt(params.messages, params.userLocation, toolSystemPrompt);
return text ? { parts: [{ text }] } : undefined;
}
function mergeUsage(acc: Required<ToolAwareUsage>, usage: any) {
const normalized = normalizeUsage(usage);
if (!normalized) return false;
acc.inputTokens += normalized.inputTokens;
acc.outputTokens += normalized.outputTokens;
acc.totalTokens += normalized.totalTokens;
return true;
}
function normalizeUsage(usage: any) {
if (!usage) return null;
const inputTokens = usage.promptTokenCount ?? 0;
const outputTokens = usage.candidatesTokenCount ?? 0;
const totalTokens = usage.totalTokenCount ?? inputTokens + outputTokens;
return { inputTokens, outputTokens, totalTokens };
}
function getCandidate(response: any) {
return Array.isArray(response?.candidates) ? response.candidates[0] : null;
}
function getParts(response: any) {
const parts = getCandidate(response)?.content?.parts;
return Array.isArray(parts) ? parts : [];
}
function extractText(response: any) {
return getParts(response)
.map((part: any) => (typeof part?.text === "string" ? part.text : ""))
.join("");
}
function stringifyToolArgs(args: unknown) {
try {
return JSON.stringify(args ?? {});
} catch {
return "{}";
}
}
function normalizeToolCallsFromParts(parts: any[], round: number): NormalizedToolCall[] {
return parts
.filter((part) => part?.functionCall)
.map((part, index) => ({
id: part.functionCall.id ?? `tool_call_${round}_${index}`,
name: part.functionCall.name ?? "unknown_tool",
arguments: stringifyToolArgs(part.functionCall.args),
}));
}
function buildFunctionResponsePart(call: NormalizedToolCall, toolResult: unknown) {
return {
functionResponse: {
id: call.id,
name: call.name,
response: toolResult,
},
};
}
function appendCorrection(conversation: any[], text: string) {
conversation.push({ role: "model", parts: [{ text }] });
conversation.push({ role: "user", parts: [{ text: INTERNAL_CORRECTION }] });
}
async function parseGeminiResponse(response: Response) {
const bodyText = await response.text();
let body: any = null;
try {
body = bodyText ? JSON.parse(bodyText) : null;
} catch {
body = { raw: bodyText };
}
if (!response.ok) {
throw new Error(body?.error?.message ?? `Gemini API request failed with status ${response.status}.`);
}
return body;
}
async function generateContent(params: ToolAwareCompletionParams, body: Record<string, unknown>) {
const response = await fetch(geminiUrl(params.client, params.model, "generateContent"), {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
return parseGeminiResponse(response);
}
function getFailureMessage(response: any, text: string, toolCallCount: number) {
const promptBlockReason = response?.promptFeedback?.blockReason;
if (promptBlockReason) return `Gemini prompt blocked: ${promptBlockReason}.`;
const candidate = getCandidate(response);
const finishReason = candidate?.finishReason;
if (!finishReason || finishReason === "STOP" || finishReason === "MAX_TOKENS") return null;
if (text || toolCallCount > 0) return null;
return candidate?.finishMessage ?? `Gemini response stopped: ${finishReason}.`;
}
function buildRequest(params: ToolAwareCompletionParams, conversation: any[], enabledTools: any[] = []) {
const tools = toGeminiTools(enabledTools);
return {
contents: conversation,
systemInstruction: buildSystemInstruction(params, enabledTools.length ? buildChatToolSystemPrompt(params) : undefined),
generationConfig: generationConfig(params),
tools,
toolConfig: tools ? { functionCallingConfig: { mode: "AUTO" } } : undefined,
};
}
export async function completeWithGeminiApi(params: ToolAwareCompletionParams): Promise<ToolAwareCompletionResult> {
const enabledTools = getEnabledChatTools(params);
const conversation = buildBaseContents(params.messages);
const rawResponses: unknown[] = [];
const toolEvents: ToolExecutionEvent[] = [];
const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
let sawUsage = false;
let totalToolCalls = 0;
let danglingToolIntentRetries = 0;
for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
const response = await generateContent(params, buildRequest(params, conversation, enabledTools));
rawResponses.push(response);
sawUsage = mergeUsage(usageAcc, response?.usageMetadata) || sawUsage;
const parts = getParts(response);
const text = extractText(response);
const normalizedToolCalls = normalizeToolCallsFromParts(parts, round);
const failureMessage = getFailureMessage(response, text, normalizedToolCalls.length);
if (failureMessage) throw new Error(failureMessage);
if (!normalizedToolCalls.length) {
if (danglingToolIntentRetries < MAX_DANGLING_TOOL_INTENT_RETRIES && looksLikeDanglingToolIntent(text)) {
danglingToolIntentRetries += 1;
appendCorrection(conversation, text);
continue;
}
return {
text,
usage: sawUsage ? usageAcc : undefined,
raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, api: "gemini.generateContent" },
toolEvents,
};
}
totalToolCalls += normalizedToolCalls.length;
conversation.push({ role: "model", parts });
const toolResultParts: any[] = [];
for (const call of normalizedToolCalls) {
const { execution } = prepareToolCallExecution(call);
const { event, toolResult } = await executeToolCallAndBuildEvent(call, execution, params);
toolEvents.push(event);
toolResultParts.push(buildFunctionResponsePart(call, toolResult));
}
conversation.push({ role: "user", parts: toolResultParts });
}
return {
text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
usage: sawUsage ? usageAcc : undefined,
raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, toolCallLimitReached: true, api: "gemini.generateContent" },
toolEvents,
};
}
function findSseBoundary(buffer: string) {
const crlf = buffer.indexOf("\r\n\r\n");
const lf = buffer.indexOf("\n\n");
if (crlf === -1) return lf === -1 ? null : { index: lf, length: 2 };
if (lf === -1) return { index: crlf, length: 4 };
return crlf < lf ? { index: crlf, length: 4 } : { index: lf, length: 2 };
}
function parseSseEvent(rawEvent: string) {
const data = rawEvent
.split(/\r?\n/)
.filter((line) => line.startsWith("data:"))
.map((line) => line.slice("data:".length).trimStart())
.join("\n")
.trim();
if (!data || data === "[DONE]") return null;
return JSON.parse(data);
}
async function* streamGeminiResponses(params: ToolAwareCompletionParams, body: Record<string, unknown>) {
const response = await fetch(geminiUrl(params.client, params.model, "streamGenerateContent", { alt: "sse" }), {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
});
if (!response.ok) {
await parseGeminiResponse(response);
return;
}
if (!response.body) {
throw new Error("Gemini stream response did not include a body.");
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
let boundary = findSseBoundary(buffer);
while (boundary) {
const rawEvent = buffer.slice(0, boundary.index);
buffer = buffer.slice(boundary.index + boundary.length);
const event = parseSseEvent(rawEvent);
if (event) yield event;
boundary = findSseBoundary(buffer);
}
}
buffer += decoder.decode();
const tail = buffer.trim();
if (tail) {
const event = parseSseEvent(tail);
if (event) yield event;
}
}
export async function* streamWithGeminiApi(params: ToolAwareCompletionParams): AsyncGenerator<ToolAwareStreamingEvent> {
const enabledTools = getEnabledChatTools(params);
const conversation = buildBaseContents(params.messages);
const rawResponses: unknown[] = [];
const toolEvents: ToolExecutionEvent[] = [];
const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
let sawUsage = false;
let totalToolCalls = 0;
let danglingToolIntentRetries = 0;
if (!enabledTools.length) {
let text = "";
let latestUsage: any = null;
for await (const response of streamGeminiResponses(params, buildRequest(params, conversation))) {
rawResponses.push(response);
if (response?.usageMetadata) latestUsage = response.usageMetadata;
const failureMessage = getFailureMessage(response, extractText(response), 0);
if (failureMessage) throw new Error(failureMessage);
const delta = extractText(response);
if (delta) {
text += delta;
yield { type: "delta", text: delta };
}
}
sawUsage = mergeUsage(usageAcc, latestUsage) || sawUsage;
yield {
type: "done",
result: {
text,
usage: sawUsage ? usageAcc : undefined,
raw: { streamed: true, responses: rawResponses, toolCallsUsed: 0, api: "gemini.streamGenerateContent" },
toolEvents: [],
},
};
return;
}
for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
const roundParts: any[] = [];
let roundText = "";
let latestRoundResponse: any = null;
let latestRoundUsage: any = null;
for await (const response of streamGeminiResponses(params, buildRequest(params, conversation, enabledTools))) {
rawResponses.push(response);
latestRoundResponse = response;
if (response?.usageMetadata) latestRoundUsage = response.usageMetadata;
roundParts.push(...getParts(response));
roundText += extractText(response);
}
sawUsage = mergeUsage(usageAcc, latestRoundUsage) || sawUsage;
const normalizedToolCalls = normalizeToolCallsFromParts(roundParts, round);
const failureMessage = getFailureMessage(latestRoundResponse ?? { candidates: [{ content: { parts: roundParts } }] }, roundText, normalizedToolCalls.length);
if (failureMessage) throw new Error(failureMessage);
if (!normalizedToolCalls.length) {
if (danglingToolIntentRetries < MAX_DANGLING_TOOL_INTENT_RETRIES && looksLikeDanglingToolIntent(roundText)) {
danglingToolIntentRetries += 1;
appendCorrection(conversation, roundText);
continue;
}
const unstreamedText = getUnstreamedText(roundText, "");
if (unstreamedText) {
yield { type: "delta", text: unstreamedText };
}
yield {
type: "done",
result: {
text: roundText,
usage: sawUsage ? usageAcc : undefined,
raw: { streamed: true, responses: rawResponses, toolCallsUsed: totalToolCalls, api: "gemini.streamGenerateContent" },
toolEvents,
},
};
return;
}
totalToolCalls += normalizedToolCalls.length;
conversation.push({ role: "model", parts: roundParts });
const toolResultParts: any[] = [];
for (const call of normalizedToolCalls) {
const { event: initiatedEvent, execution } = prepareToolCallExecution(call);
yield { type: "tool_call", event: initiatedEvent };
const { event, toolResult } = await executeToolCallAndBuildEvent(call, execution, params);
toolEvents.push(event);
yield { type: "tool_call", event };
toolResultParts.push(buildFunctionResponsePart(call, toolResult));
}
conversation.push({ role: "user", parts: toolResultParts });
}
yield {
type: "done",
result: {
text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
usage: sawUsage ? usageAcc : undefined,
raw: {
streamed: true,
responses: rawResponses,
toolCallsUsed: totalToolCalls,
toolCallLimitReached: true,
api: "gemini.streamGenerateContent",
},
toolEvents,
},
};
}
+4 -45
View File
@@ -28,45 +28,6 @@ import type { ChatMessage } from "../types.js";
const INTERNAL_CORRECTION =
"Internal correction: the previous assistant message claimed it would run a tool, but no tool call was made. If the task needs an available tool, call it now. Otherwise provide the final answer directly without saying you will run a tool.";
const DEFAULT_ANTHROPIC_MAX_TOKENS = 128_000;
const MODEL_MAX_TOKENS_CACHE_MS = 24 * 60 * 60 * 1000;
const modelMaxTokensCache = new Map<string, { maxTokens: number; expiresAt: number }>();
function readMaxTokens(value: unknown) {
return Number.isSafeInteger(value) && (value as number) > 0 ? (value as number) : undefined;
}
function getModelInfoMaxTokens(modelInfo: any) {
return readMaxTokens(modelInfo?.max_tokens) ?? readMaxTokens(modelInfo?.maxTokens);
}
async function getMessagesMaxTokens(params: ToolAwareCompletionParams) {
if (params.maxTokens) return params.maxTokens;
const cached = modelMaxTokensCache.get(params.model);
if (cached && cached.expiresAt > Date.now()) return cached.maxTokens;
try {
const retrieve = params.client?.models?.retrieve;
if (typeof retrieve === "function") {
const modelInfo = await retrieve.call(params.client.models, params.model);
const maxTokens = getModelInfoMaxTokens(modelInfo);
if (maxTokens) {
modelMaxTokensCache.set(params.model, {
maxTokens,
expiresAt: Date.now() + MODEL_MAX_TOKENS_CACHE_MS,
});
return maxTokens;
}
}
} catch {
// Fall back to the documented max for Claude Opus 4.8 and related high-output models.
}
return DEFAULT_ANTHROPIC_MAX_TOKENS;
}
function toTools(tools: any[]) {
return tools
.map((tool) => {
@@ -199,12 +160,11 @@ function mergeUsage(acc: Required<ToolAwareUsage>, usage: any) {
export async function completeWithMessagesApi(params: ToolAwareCompletionParams): Promise<ToolAwareCompletionResult> {
const enabledTools = getEnabledChatTools(params);
const maxTokens = await getMessagesMaxTokens(params);
if (!enabledTools.length) {
const response = await params.client.messages.create({
model: params.model,
system: buildTopLevelSystemPrompt(params.messages, params.userLocation),
max_tokens: maxTokens,
max_tokens: params.maxTokens ?? 1024,
temperature: params.temperature,
messages: buildBaseMessages(params),
} as any);
@@ -232,7 +192,7 @@ export async function completeWithMessagesApi(params: ToolAwareCompletionParams)
const response = await params.client.messages.create({
model: params.model,
system: buildTopLevelSystemPrompt(params.messages, params.userLocation, buildChatToolSystemPrompt(params)),
max_tokens: maxTokens,
max_tokens: params.maxTokens ?? 1024,
temperature: params.temperature,
messages: conversation,
tools: toTools(enabledTools),
@@ -288,7 +248,6 @@ export async function completeWithMessagesApi(params: ToolAwareCompletionParams)
export async function* streamWithMessagesApi(params: ToolAwareCompletionParams): AsyncGenerator<ToolAwareStreamingEvent> {
const enabledTools = getEnabledChatTools(params);
const maxTokens = await getMessagesMaxTokens(params);
if (!enabledTools.length) {
const rawResponses: unknown[] = [];
const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
@@ -300,7 +259,7 @@ export async function* streamWithMessagesApi(params: ToolAwareCompletionParams):
const stream = await params.client.messages.create({
model: params.model,
system: buildTopLevelSystemPrompt(params.messages, params.userLocation),
max_tokens: maxTokens,
max_tokens: params.maxTokens ?? 1024,
temperature: params.temperature,
messages: buildBaseMessages(params),
stream: true,
@@ -356,7 +315,7 @@ export async function* streamWithMessagesApi(params: ToolAwareCompletionParams):
const stream = await params.client.messages.create({
model: params.model,
system: buildTopLevelSystemPrompt(params.messages, params.userLocation, buildChatToolSystemPrompt(params)),
max_tokens: maxTokens,
max_tokens: params.maxTokens ?? 1024,
temperature: params.temperature,
messages: conversation,
tools: toTools(enabledTools),
+3 -70
View File
@@ -5,11 +5,10 @@ import {
type ToolAwareStreamingEvent,
} from "./chat-tools.js";
import { completeWithChatCompletionsApi, streamWithChatCompletionsApi } from "./protocols/chat-completions-api.js";
import { completeWithGeminiApi, streamWithGeminiApi } from "./protocols/gemini-api.js";
import { completeWithMessagesApi, streamWithMessagesApi } from "./protocols/messages-api.js";
import { completeWithResponsesApi, streamWithResponsesApi } from "./protocols/responses-api.js";
import { env } from "../env.js";
import { anthropicClient, geminiClient, hermesAgentClient, isHermesAgentConfigured, openaiClient, xaiClient } from "./providers.js";
import { anthropicClient, hermesAgentClient, isHermesAgentConfigured, openaiClient, xaiClient } from "./providers.js";
import type { ChatMessage, Provider } from "./types.js";
type ProviderAdapterParams = {
@@ -28,7 +27,7 @@ export type ProviderChatAdapter = {
stream(params: ProviderAdapterParams): AsyncGenerator<ToolAwareStreamingEvent>;
};
type ChatProtocolId = "chat-completions" | "gemini" | "messages" | "responses";
type ChatProtocolId = "chat-completions" | "messages" | "responses";
type ChatProtocol = {
id: ChatProtocolId;
@@ -40,7 +39,6 @@ type ModelCatalogSpec = {
enabled?: () => boolean;
fetchModels(client: any): Promise<string[]>;
fallbackModels?: () => string[];
sortModels?: (models: string[]) => string[];
};
type ProviderBackendSpec = {
@@ -63,12 +61,6 @@ const messagesProtocol: ChatProtocol = {
stream: streamWithMessagesApi,
};
const geminiProtocol: ChatProtocol = {
id: "gemini",
complete: completeWithGeminiApi,
stream: streamWithGeminiApi,
};
const responsesProtocol: ChatProtocol = {
id: "responses",
complete: completeWithResponsesApi,
@@ -85,10 +77,6 @@ function modelIdsFromListResponse(page: any) {
: [];
}
function stripModelResourcePrefix(model: string) {
return model.startsWith("models/") ? model.slice("models/".length) : model;
}
function isLikelyResponsesApiModel(model: string) {
const id = model.toLowerCase();
if (id.includes("embedding") || id.includes("moderation")) return false;
@@ -98,37 +86,6 @@ function isLikelyResponsesApiModel(model: string) {
return /^(gpt-|o\d|chatgpt-)/.test(id);
}
function isLikelyGeminiChatModel(model: string) {
const id = model.toLowerCase();
if (!id.startsWith("gemini-")) return false;
if (id.includes("embedding") || id.includes("embed")) return false;
if (id.includes("image") || id.includes("imagen") || id.includes("veo")) return false;
if (id.includes("audio") || id.includes("tts") || id.includes("live")) return false;
if (id.includes("computer-use") || id.includes("robotics")) return false;
return true;
}
function preferGeminiModels(models: string[]) {
const preferred = [
"gemini-3.5-flash",
"gemini-flash-latest",
"gemini-3.1-flash-lite",
"gemini-3-flash-preview",
"gemini-pro-latest",
];
const modelSet = new Set(models);
return [...preferred.filter((model) => modelSet.delete(model)), ...[...modelSet].sort((a, b) => a.localeCompare(b))];
}
async function fetchJson(url: URL): Promise<any> {
const response = await fetch(url);
const body: any = await response.json().catch(() => null);
if (!response.ok) {
throw new Error(body?.error?.message ?? `Gemini model fetch failed with status ${response.status}.`);
}
return body;
}
function withClient(params: ProviderAdapterParams, client: any, enabledTools?: string[]): ToolAwareCompletionParams {
return {
client,
@@ -203,29 +160,6 @@ const backendSpecs: Record<Provider, ProviderBackendSpec> = {
},
},
},
gemini: {
createClient: geminiClient,
plainProtocol: geminiProtocol,
toolProtocol: geminiProtocol,
managedTools: true,
modelCatalog: {
async fetchModels(client) {
const url = new URL(`${client.baseURL.replace(/\/+$/, "")}/models`);
url.searchParams.set("key", client.apiKey);
url.searchParams.set("pageSize", "1000");
const page = await fetchJson(url);
return Array.isArray(page?.models)
? page.models
.filter((model: any) => Array.isArray(model?.supportedGenerationMethods) && model.supportedGenerationMethods.includes("generateContent"))
.map((model: any) => model?.name)
.filter((id: unknown): id is string => typeof id === "string")
.map(stripModelResourcePrefix)
.filter(isLikelyGeminiChatModel)
: [];
},
sortModels: preferGeminiModels,
},
},
"hermes-agent": {
createClient: hermesAgentClient,
plainProtocol: chatCompletionsProtocol,
@@ -275,8 +209,7 @@ export function listModelCatalogProviders(): Provider[] {
export async function fetchProviderCatalogModels(provider: Provider) {
const spec = backendSpecs[provider].modelCatalog;
if (!spec) return [];
const models = uniqSorted(await spec.fetchModels(backendSpecs[provider].createClient()));
return spec.sortModels ? spec.sortModels(models) : models;
return uniqSorted(await spec.fetchModels(backendSpecs[provider].createClient()));
}
export function getProviderCatalogFallbackModels(provider: Provider) {
-2
View File
@@ -6,7 +6,6 @@ const apiToPrismaProvider = {
openai: "openai",
anthropic: "anthropic",
xai: "xai",
gemini: "gemini",
"hermes-agent": "hermes_agent",
} as const satisfies Record<Provider, PrismaProvider>;
@@ -14,7 +13,6 @@ const prismaToApiProvider = {
openai: "openai",
anthropic: "anthropic",
xai: "xai",
gemini: "gemini",
hermes_agent: "hermes-agent",
"hermes-agent": "hermes-agent",
} as const satisfies Record<PrismaProvider | "hermes-agent", Provider>;
+1 -9
View File
@@ -1,5 +1,5 @@
import Anthropic from "@anthropic-ai/sdk";
import OpenAI from "openai";
import Anthropic from "@anthropic-ai/sdk";
import { env } from "../env.js";
export function openaiClient() {
@@ -13,14 +13,6 @@ export function xaiClient() {
return new OpenAI({ apiKey: env.XAI_API_KEY, baseURL: "https://api.x.ai/v1" });
}
export function geminiClient() {
if (!env.GEMINI_API_KEY) throw new Error("GEMINI_API_KEY not set");
return {
apiKey: env.GEMINI_API_KEY,
baseURL: "https://generativelanguage.googleapis.com/v1beta",
};
}
export function isHermesAgentConfigured() {
return Boolean(env.HERMES_AGENT_API_KEY);
}
+1 -1
View File
@@ -1,4 +1,4 @@
export const PROVIDERS = ["openai", "anthropic", "xai", "gemini", "hermes-agent"] as const;
export const PROVIDERS = ["openai", "anthropic", "xai", "hermes-agent"] as const;
export type Provider = (typeof PROVIDERS)[number];
+1 -1
View File
@@ -16,7 +16,7 @@ import { exaClient } from "./search/exa.js";
import { isFreshSearchCacheHit, normalizeSearchQuery } from "./search-cache.js";
import type { ChatAttachment } from "./llm/types.js";
const ProviderSchema = z.enum(["openai", "anthropic", "xai", "gemini", "hermes-agent"]);
const ProviderSchema = z.enum(["openai", "anthropic", "xai", "hermes-agent"]);
const MAX_ADDITIONAL_SYSTEM_PROMPT_CHARS = 12_000;
const EnabledToolsSchema = z.array(z.string().trim().min(1).max(80)).max(20).transform((value) => normalizeEnabledChatTools(value));
-88
View File
@@ -140,94 +140,6 @@ test("plain Chat Completions stream does not send Sybil-managed tools", async ()
assert.equal(events.at(-1)?.type === "done" ? events.at(-1)?.result.text : null, "Hi");
});
test("Messages API defaults max_tokens to the Anthropic model maximum", async () => {
let requestBody: any = null;
let retrievedModel: string | null = null;
const client = {
models: {
retrieve: async (model: string) => {
retrievedModel = model;
return { id: model, max_tokens: 128000 };
},
},
messages: {
create: async (body: any) => {
requestBody = body;
return {
content: [{ type: "text", text: "Done" }],
usage: { input_tokens: 1, output_tokens: 1 },
};
},
},
};
const result = await completeWithMessagesApi({
client: client as any,
model: "claude-max-default-test",
messages: [{ role: "user", content: "Say done" }],
});
assert.equal(retrievedModel, "claude-max-default-test");
assert.equal(requestBody?.max_tokens, 128000);
assert.equal(result.text, "Done");
});
test("Messages API preserves explicit maxTokens", async () => {
let requestBody: any = null;
let didRetrieveModel = false;
const client = {
models: {
retrieve: async () => {
didRetrieveModel = true;
return { max_tokens: 128000 };
},
},
messages: {
create: async (body: any) => {
requestBody = body;
return streamFrom([
{
type: "message_start",
message: {
usage: { input_tokens: 1, output_tokens: 0 },
},
},
{
type: "content_block_start",
index: 0,
content_block: { type: "text", text: "" },
},
{
type: "content_block_delta",
index: 0,
delta: { type: "text_delta", text: "Done" },
},
{ type: "content_block_stop", index: 0 },
{
type: "message_delta",
delta: { stop_reason: "end_turn", stop_sequence: null },
usage: { output_tokens: 1 },
},
{ type: "message_stop" },
]);
},
},
};
const events = await collectEvents(
streamWithMessagesApi({
client: client as any,
model: "claude-explicit-max-test",
messages: [{ role: "user", content: "Say done" }],
maxTokens: 4096,
})
);
assert.equal(didRetrieveModel, false);
assert.equal(requestBody?.max_tokens, 4096);
assert.equal(events.at(-1)?.type === "done" ? events.at(-1)?.result.text : null, "Done");
});
test("fetch_url sends browser-like navigation headers", async () => {
const originalFetch = globalThis.fetch;
const fetchCalls: Array<{ input: RequestInfo | URL; init?: RequestInit }> = [];
-6
View File
@@ -27,12 +27,6 @@ test("provider backend registry selects chat protocol and managed-tool mode", ()
managedTools: true,
enabledTools: ["web_search"],
});
assert.deepEqual(describeProviderChatBackend("gemini", ["web_search"]), {
provider: "gemini",
protocol: "gemini",
managedTools: true,
enabledTools: ["web_search"],
});
assert.deepEqual(describeProviderChatBackend("hermes-agent", ["web_search"]), {
provider: "hermes-agent",
protocol: "chat-completions",
+2 -4
View File
@@ -5,10 +5,8 @@ import { fromPrismaProvider, serializeProviderFields, toPrismaProvider } from ".
test("Hermes Agent provider id maps between API and Prisma enum forms", () => {
assert.equal(toPrismaProvider("hermes-agent"), "hermes_agent");
assert.equal(fromPrismaProvider("hermes_agent"), "hermes-agent");
assert.equal(toPrismaProvider("gemini"), "gemini");
assert.equal(fromPrismaProvider("gemini"), "gemini");
assert.deepEqual(serializeProviderFields({ initiatedProvider: "hermes_agent", lastUsedProvider: "gemini" }), {
assert.deepEqual(serializeProviderFields({ initiatedProvider: "hermes_agent", lastUsedProvider: "xai" }), {
initiatedProvider: "hermes-agent",
lastUsedProvider: "gemini",
lastUsedProvider: "xai",
});
});
+1 -1
View File
@@ -1,6 +1,6 @@
import type { Provider } from "./types.js";
const PROVIDERS: Provider[] = ["openai", "anthropic", "xai", "gemini", "hermes-agent"];
const PROVIDERS: Provider[] = ["openai", "anthropic", "xai", "hermes-agent"];
function normalizeBaseUrl(value: string) {
const trimmed = value.trim();
+1 -5
View File
@@ -42,13 +42,12 @@ type ToolLogMetadata = {
resultPreview?: string | null;
};
const BASE_PROVIDERS: Provider[] = ["openai", "anthropic", "xai", "gemini"];
const BASE_PROVIDERS: Provider[] = ["openai", "anthropic", "xai"];
const PROVIDERS: Provider[] = [...BASE_PROVIDERS, "hermes-agent"];
const PROVIDER_FALLBACK_MODELS: Record<Provider, string[]> = {
openai: ["gpt-4.1-mini"],
anthropic: ["claude-3-5-sonnet-latest"],
xai: ["grok-3-mini"],
gemini: ["gemini-3.5-flash", "gemini-flash-latest"],
"hermes-agent": ["hermes-agent"],
};
@@ -56,7 +55,6 @@ const EMPTY_MODEL_CATALOG: ModelCatalogResponse["providers"] = {
openai: { models: [], loadedAt: null, error: null },
anthropic: { models: [], loadedAt: null, error: null },
xai: { models: [], loadedAt: null, error: null },
gemini: { models: [], loadedAt: null, error: null },
};
function escapeTags(value: string) {
@@ -81,7 +79,6 @@ function getProviderLabel(provider: Provider | null | undefined) {
if (provider === "openai") return "OpenAI";
if (provider === "anthropic") return "Anthropic";
if (provider === "xai") return "xAI";
if (provider === "gemini") return "Gemini";
if (provider === "hermes-agent") return "Hermes Agent";
return "";
}
@@ -269,7 +266,6 @@ async function main() {
openai: null,
anthropic: null,
xai: null,
gemini: null,
"hermes-agent": null,
};
let model: string = config.defaultModel ?? pickProviderModel(getModelOptions(modelCatalog, provider), null);
+1 -1
View File
@@ -1,4 +1,4 @@
export type Provider = "openai" | "anthropic" | "xai" | "gemini" | "hermes-agent";
export type Provider = "openai" | "anthropic" | "xai" | "hermes-agent";
export type ProviderModelInfo = {
models: string[];
+2 -10
View File
@@ -123,7 +123,6 @@ const PROVIDER_FALLBACK_MODELS: Record<Provider, string[]> = {
openai: ["gpt-4.1-mini"],
anthropic: ["claude-3-5-sonnet-latest"],
xai: ["grok-3-mini"],
gemini: ["gemini-3.5-flash", "gemini-flash-latest"],
"hermes-agent": ["hermes-agent"],
};
@@ -131,10 +130,9 @@ const EMPTY_MODEL_CATALOG: ModelCatalogResponse["providers"] = {
openai: { models: [], loadedAt: null, error: null },
anthropic: { models: [], loadedAt: null, error: null },
xai: { models: [], loadedAt: null, error: null },
gemini: { models: [], loadedAt: null, error: null },
};
const BASE_PROVIDERS: Provider[] = ["openai", "anthropic", "xai", "gemini"];
const BASE_PROVIDERS: Provider[] = ["openai", "anthropic", "xai"];
const ALL_PROVIDERS: Provider[] = [...BASE_PROVIDERS, "hermes-agent"];
const MODEL_PREFERENCES_STORAGE_KEY = "sybil:modelPreferencesByProvider";
@@ -151,7 +149,6 @@ const EMPTY_MODEL_PREFERENCES: ProviderModelPreferences = {
openai: null,
anthropic: null,
xai: null,
gemini: null,
"hermes-agent": null,
};
const EMPTY_ACTIVE_RUNS: ActiveRunsState = {
@@ -348,7 +345,6 @@ function loadStoredModelPreferences() {
openai: typeof parsed.openai === "string" && parsed.openai.trim() ? parsed.openai.trim() : null,
anthropic: typeof parsed.anthropic === "string" && parsed.anthropic.trim() ? parsed.anthropic.trim() : null,
xai: typeof parsed.xai === "string" && parsed.xai.trim() ? parsed.xai.trim() : null,
gemini: typeof parsed.gemini === "string" && parsed.gemini.trim() ? parsed.gemini.trim() : null,
"hermes-agent":
typeof parsed["hermes-agent"] === "string" && parsed["hermes-agent"].trim() ? parsed["hermes-agent"].trim() : null,
};
@@ -358,9 +354,7 @@ function loadStoredModelPreferences() {
}
function normalizeStoredProvider(value: unknown): Provider {
return value === "anthropic" || value === "xai" || value === "gemini" || value === "openai" || value === "hermes-agent"
? value
: "openai";
return value === "anthropic" || value === "xai" || value === "openai" || value === "hermes-agent" ? value : "openai";
}
function normalizeStoredModelPreferences(value: unknown): ProviderModelPreferences {
@@ -370,7 +364,6 @@ function normalizeStoredModelPreferences(value: unknown): ProviderModelPreferenc
openai: typeof parsed.openai === "string" && parsed.openai.trim() ? parsed.openai.trim() : null,
anthropic: typeof parsed.anthropic === "string" && parsed.anthropic.trim() ? parsed.anthropic.trim() : null,
xai: typeof parsed.xai === "string" && parsed.xai.trim() ? parsed.xai.trim() : null,
gemini: typeof parsed.gemini === "string" && parsed.gemini.trim() ? parsed.gemini.trim() : null,
"hermes-agent":
typeof parsed["hermes-agent"] === "string" && parsed["hermes-agent"].trim() ? parsed["hermes-agent"].trim() : null,
};
@@ -402,7 +395,6 @@ function getProviderLabel(provider: Provider | null | undefined) {
if (provider === "openai") return "OpenAI";
if (provider === "anthropic") return "Anthropic";
if (provider === "xai") return "xAI";
if (provider === "gemini") return "Gemini";
if (provider === "hermes-agent") return "Hermes Agent";
return "";
}
+1 -30
View File
@@ -286,14 +286,6 @@ textarea {
word-break: break-word;
}
.md-content > :first-child {
margin-top: 0;
}
.md-content > :last-child {
margin-bottom: 0;
}
.md-table-scroll {
max-width: 100%;
margin: 0.35rem 0 1rem;
@@ -392,8 +384,7 @@ textarea {
.md-content ul,
.md-content ol {
margin-top: 0.85rem;
margin-bottom: 0.85rem;
margin-top: 0.65rem;
margin-left: 0;
padding-left: 0;
list-style: none;
@@ -405,26 +396,6 @@ textarea {
padding-left: 1.35rem;
}
.md-content ul > li {
position: relative;
padding-left: 1.1rem;
}
.md-content ul > li::before {
content: "";
position: absolute;
left: 0;
top: 0.76em;
width: 0.36rem;
height: 0.36rem;
border-radius: 9999px;
background: hsl(188 86% 62%);
box-shadow:
0 0 0 2px hsl(188 86% 62% / 0.12),
0 0 10px hsl(188 86% 62% / 0.42);
transform: translateY(-50%);
}
.md-content li + li {
margin-top: 0.3rem;
}
+1 -1
View File
@@ -149,7 +149,7 @@ export type CompletionRequestMessage = {
attachments?: ChatAttachment[];
};
export type Provider = "openai" | "anthropic" | "xai" | "gemini" | "hermes-agent";
export type Provider = "openai" | "anthropic" | "xai" | "hermes-agent";
export type ProviderModelInfo = {
models: string[];