mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-07 22:52:58 -10:00
Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
76e390fc75 | ||
|
|
4447dacb03 |
No files matched your search
@@ -1,5 +1,5 @@
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||||
name: Install PraisonAI monorepo packages
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description: Install praisonai-agents, praisonai-code, praisonai-bot, praisonai-train, praisonai-browser, praisonai-mcp, praisonai-sandbox, praisonai-deploy, and praisonai wrapper from local paths (mirrors PyPI nine-package install order).
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description: Install praisonai-agents, praisonai-code, praisonai-bot, praisonai-train, praisonai-browser, praisonai-mcp, praisonai-sandbox, and praisonai wrapper from local paths (mirrors PyPI eight-package install order).
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inputs:
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repo-root:
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@@ -40,7 +40,6 @@ runs:
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BROWSER_PKG="${BASE}src/praisonai-browser"
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MCP_PKG="${BASE}src/praisonai-mcp"
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SANDBOX_PKG="${BASE}src/praisonai-sandbox"
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DEPLOY_PKG="${BASE}src/praisonai-deploy"
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WRAPPER_PKG="${BASE}src/praisonai"
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normalise_extras() {
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@@ -70,8 +69,6 @@ runs:
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uv pip install --system -e .
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cd "$SANDBOX_PKG"
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uv pip install --system -e .
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cd "$DEPLOY_PKG"
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uv pip install --system -e .
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cd "$WRAPPER_PKG"
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uv pip install --system "${WRAPPER_SUFFIX}"
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else
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@@ -89,8 +86,6 @@ runs:
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pip install -e .
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cd "$SANDBOX_PKG"
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pip install -e .
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cd "$DEPLOY_PKG"
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pip install -e .
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cd "$WRAPPER_PKG"
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pip install -e "${WRAPPER_SUFFIX}"
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fi
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@@ -74,11 +74,7 @@ function isClaudeTriggerNoise(c) {
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function isClaudeFinalReplyComment(c) {
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const login = (c.user?.login || '').toLowerCase();
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const fromAutomation =
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login.includes('praisonai-triage') ||
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login.includes('github-actions') ||
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AUTO_ACTORS.some((a) => a.toLowerCase() === login);
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if (!fromAutomation) return false;
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if (!login.includes('praisonai-triage')) return false;
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return (c.body || '').includes('Claude finished');
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}
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@@ -100,47 +96,15 @@ function isConflictRebaseTriggerComment(c) {
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function isConflictRebaseCompletionComment(c) {
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const login = (c.user?.login || '').toLowerCase();
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const fromAutomation =
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login.includes('praisonai-triage') ||
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login.includes('github-actions') ||
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AUTO_ACTORS.some((a) => a.toLowerCase() === login);
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if (!fromAutomation) return false;
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if (!login.includes('praisonai-triage') && !login.includes('github-actions')) return false;
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const body = (c.body || '').toLowerCase();
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return (
|
||||
body.includes('rebase complete') ||
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body.includes('rebase onto') ||
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||||
body.includes('force-pushed') ||
|
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(body.includes('conflict') && body.includes('resolved'))
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||||
);
|
||||
}
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||||
|
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/** HEAD landed after conflict rebase but no FINAL @claude since that push. */
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function needsFinalReReviewAfterConflictRebase(comments, headPushedAt) {
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if (!headPushedAt) return false;
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const headTime = new Date(headPushedAt).getTime();
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||||
const conflictTriggers = comments.filter(isConflictRebaseTriggerComment);
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if (conflictTriggers.length === 0) return false;
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||||
|
||||
const latestConflict = conflictTriggers.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
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);
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const conflictTime = new Date(latestConflict.created_at).getTime();
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||||
if (headTime <= conflictTime) return false;
|
||||
|
||||
const rebaseDone = comments.some(
|
||||
(c) =>
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new Date(c.created_at).getTime() > conflictTime && isConflictRebaseCompletionComment(c)
|
||||
);
|
||||
if (!rebaseDone) return false;
|
||||
|
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const finalsAfterHead = comments.filter(
|
||||
(c) =>
|
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isFinalClaudeTriggerComment(c) &&
|
||||
new Date(c.created_at).getTime() >= headTime - 60000
|
||||
);
|
||||
return finalsAfterHead.length === 0;
|
||||
}
|
||||
|
||||
function conflictRebaseQuiescent(comments, headPushedAt) {
|
||||
const conflictTriggers = comments.filter(isConflictRebaseTriggerComment);
|
||||
if (conflictTriggers.length === 0) return true;
|
||||
@@ -281,9 +245,6 @@ function shouldSkipStaleFinalRecovery(comments, headPushedAt, headPusherLogin =
|
||||
if (headPusherLogin && isClaudeAutomationLogin(headPusherLogin)) {
|
||||
return { skip: true, reason: 'head pushed by Claude automation' };
|
||||
}
|
||||
if (needsFinalReReviewAfterConflictRebase(comments, headPushedAt)) {
|
||||
return { skip: false, reason: '' };
|
||||
}
|
||||
if (isPushSoonAfterLatestFinal(comments, headPushedAt)) {
|
||||
return {
|
||||
skip: true,
|
||||
@@ -955,7 +916,6 @@ module.exports = {
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hasRecentConflictComment,
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||||
isConflictRebaseTriggerComment,
|
||||
isConflictRebaseCompletionComment,
|
||||
needsFinalReReviewAfterConflictRebase,
|
||||
conflictRebaseQuiescent,
|
||||
hasHumanChangesRequested,
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||||
hasAnyChangesRequested,
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||||
|
||||
@@ -11,112 +11,47 @@ assert.ok(versions.currentCode);
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||||
assert.ok(versions.currentWrapper);
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assert.ok(versions.targetCode);
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assert.ok(rg.PACKAGE_PATHS.includes('src/praisonai-code'));
|
||||
// Every released package must make the gate's path-change check eligible.
|
||||
for (const p of [
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'src/praisonai', 'src/praisonai-agents', 'src/praisonai-code',
|
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'src/praisonai-bot', 'src/praisonai-train', 'src/praisonai-browser',
|
||||
'src/praisonai-mcp', 'src/praisonai-sandbox', 'src/praisonai-deploy',
|
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]) {
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||||
assert.ok(rg.PACKAGE_PATHS.includes(p), `PACKAGE_PATHS missing ${p}`);
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}
|
||||
|
||||
const noonUtc = new Date('2026-07-08T12:00:00Z');
|
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const dayStart = rg.utcDayStart(noonUtc);
|
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assert.strictEqual(dayStart.toISOString(), '2026-07-08T00:00:00.000Z');
|
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|
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function mockGithub({ runs = [], releases = [] } = {}) {
|
||||
return {
|
||||
rest: {
|
||||
actions: {
|
||||
listWorkflowRuns: async () => ({ data: { workflow_runs: runs } }),
|
||||
},
|
||||
repos: {
|
||||
listReleases: async () => ({ data: releases }),
|
||||
},
|
||||
},
|
||||
};
|
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}
|
||||
|
||||
(async () => {
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||||
assert.strictEqual(await rg.pypiVersionExists('praisonaiagents', '0.0.0'), false);
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||||
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assert.strictEqual(rg.PATCH_RELEASE_INTERVAL_DAYS, 3);
|
||||
|
||||
// Dedupe is release-based: a v* release inside the window blocks…
|
||||
const recentRelease = mockGithub({
|
||||
releases: [{ tag_name: 'v4.6.159', published_at: '2026-07-08T09:00:00Z' }],
|
||||
});
|
||||
const mockGithub = {
|
||||
rest: {
|
||||
actions: {
|
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listWorkflowRuns: async () => ({
|
||||
data: {
|
||||
workflow_runs: [
|
||||
{
|
||||
conclusion: 'success',
|
||||
created_at: '2026-07-08T09:00:00Z',
|
||||
status: 'completed',
|
||||
},
|
||||
],
|
||||
},
|
||||
}),
|
||||
},
|
||||
},
|
||||
};
|
||||
assert.strictEqual(
|
||||
await rg.hasSuccessfulReleaseWithinDays(recentRelease, 'o', 'r', noonUtc),
|
||||
await rg.hasSuccessfulReleaseToday(mockGithub, 'o', 'r', noonUtc),
|
||||
true
|
||||
);
|
||||
|
||||
const result = await rg.evaluateReleasePreflight(
|
||||
recentRelease, 'o', 'r',
|
||||
mockGithub, 'o', 'r',
|
||||
{ headSha: 'abc', isCiTrigger: false, bump: 'patch', now: noonUtc },
|
||||
null
|
||||
);
|
||||
assert.ok(result.reasons.some((r) => r.includes('every 3 days')));
|
||||
|
||||
// …an old release does not…
|
||||
const oldRelease = mockGithub({
|
||||
releases: [{ tag_name: 'v4.6.150', published_at: '2026-07-04T09:00:00Z' }],
|
||||
});
|
||||
assert.strictEqual(
|
||||
await rg.hasSuccessfulReleaseWithinDays(oldRelease, 'o', 'r', noonUtc),
|
||||
false
|
||||
);
|
||||
|
||||
// …and a dry-run "success" (workflow run, no release) does not consume the
|
||||
// window: only real releases count.
|
||||
const dryRunOnly = mockGithub({
|
||||
runs: [{ conclusion: 'success', created_at: '2026-07-08T09:00:00Z', status: 'completed' }],
|
||||
releases: [],
|
||||
});
|
||||
assert.strictEqual(
|
||||
await rg.hasSuccessfulReleaseWithinDays(dryRunOnly, 'o', 'r', noonUtc),
|
||||
false
|
||||
);
|
||||
|
||||
// Active-run blocking: fresh waiting run blocks…
|
||||
const freshWaiting = mockGithub({
|
||||
runs: [{ status: 'waiting', conclusion: null, created_at: '2026-07-08T11:00:00Z', html_url: 'x' }],
|
||||
});
|
||||
assert.strictEqual(
|
||||
await rg.hasActiveReleaseRun(freshWaiting, 'o', 'r', noonUtc, null),
|
||||
true
|
||||
);
|
||||
|
||||
// …a waiting run stuck longer than STALE_WAITING_HOURS no longer blocks…
|
||||
const staleWaiting = mockGithub({
|
||||
runs: [{ status: 'waiting', conclusion: null, created_at: '2026-07-08T01:00:00Z', html_url: 'x' }],
|
||||
});
|
||||
const warnings = [];
|
||||
const fakeCore = { warning: (m) => warnings.push(m), info: () => {} };
|
||||
assert.strictEqual(rg.STALE_WAITING_HOURS, 6);
|
||||
assert.strictEqual(
|
||||
await rg.hasActiveReleaseRun(staleWaiting, 'o', 'r', noonUtc, fakeCore),
|
||||
false
|
||||
);
|
||||
assert.ok(warnings.length === 1 && warnings[0].includes('approve or cancel'));
|
||||
|
||||
// …but an in_progress run always blocks regardless of age.
|
||||
const oldInProgress = mockGithub({
|
||||
runs: [{ status: 'in_progress', conclusion: null, created_at: '2026-07-07T01:00:00Z', html_url: 'x' }],
|
||||
});
|
||||
assert.strictEqual(
|
||||
await rg.hasActiveReleaseRun(oldInProgress, 'o', 'r', noonUtc, null),
|
||||
true
|
||||
);
|
||||
assert.ok(result.reasons.some((r) => r.includes('already released today')));
|
||||
|
||||
console.log('ok: bumpPatch');
|
||||
console.log('ok: readVersionsFromTree');
|
||||
console.log('ok: PACKAGE_PATHS covers all 9 released packages');
|
||||
console.log('ok: pypiVersionExists missing version');
|
||||
console.log('ok: utcDayStart');
|
||||
console.log('ok: release-based dedupe (recent blocks, old does not)');
|
||||
console.log('ok: dry-run success does not consume the release window');
|
||||
console.log('ok: 3-day dedupe blocks second release');
|
||||
console.log('ok: fresh waiting run blocks; stale waiting run ignored with warning');
|
||||
console.log('ok: in_progress always blocks');
|
||||
console.log('ok: hasSuccessfulReleaseToday');
|
||||
console.log('ok: daily dedupe blocks second release');
|
||||
})();
|
||||
+20
-105
@@ -4,31 +4,10 @@
|
||||
|
||||
const https = require('https');
|
||||
|
||||
/** Every directory whose changes should make a release eligible — all nine
|
||||
* published packages (mirrors the skip_* inputs in pypi-release.yml). */
|
||||
const PACKAGE_PATHS = [
|
||||
'src/praisonai',
|
||||
'src/praisonai-agents',
|
||||
'src/praisonai-code',
|
||||
'src/praisonai-bot',
|
||||
'src/praisonai-train',
|
||||
'src/praisonai-browser',
|
||||
'src/praisonai-mcp',
|
||||
'src/praisonai-sandbox',
|
||||
'src/praisonai-deploy',
|
||||
];
|
||||
/** Minimum days between successful patch auto-releases. */
|
||||
const PATCH_RELEASE_INTERVAL_DAYS = 3;
|
||||
const PACKAGE_PATHS = ['src/praisonai', 'src/praisonai-agents', 'src/praisonai-code'];
|
||||
const ACTIVE_RELEASE_STATUSES = new Set([
|
||||
'queued', 'in_progress', 'waiting', 'pending', 'requested',
|
||||
]);
|
||||
/** A run stuck in `waiting` (environment approval) longer than this no longer
|
||||
* blocks the gate. GitHub only auto-fails unapproved deployments after 30
|
||||
* days, so without a cutoff one forgotten manual dispatch stalls all
|
||||
* auto-releases for up to a month. The run is warned about, never cancelled —
|
||||
* if later approved, the pypi-release concurrency group serializes it and its
|
||||
* pypi_exists checks no-op anything already published. */
|
||||
const STALE_WAITING_HOURS = 6;
|
||||
|
||||
function bumpPatch(version) {
|
||||
const parts = version.split('.');
|
||||
@@ -84,65 +63,36 @@ function pypiVersionExists(packageName, version) {
|
||||
});
|
||||
}
|
||||
|
||||
async function hasActiveReleaseRun(github, owner, repo, now = new Date(), core = null) {
|
||||
async function hasActiveReleaseRun(github, owner, repo) {
|
||||
const runs = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
workflow_id: 'pypi-release.yml',
|
||||
per_page: 20,
|
||||
});
|
||||
const staleCutoff = now.getTime() - STALE_WAITING_HOURS * 60 * 60 * 1000;
|
||||
return runs.data.workflow_runs.some((r) => {
|
||||
if (!ACTIVE_RELEASE_STATUSES.has(r.status) || r.conclusion) return false;
|
||||
if (r.status === 'waiting' && new Date(r.created_at).getTime() < staleCutoff) {
|
||||
if (core) {
|
||||
core.warning(
|
||||
`Ignoring release run waiting >${STALE_WAITING_HOURS}h for environment approval: `
|
||||
+ `${r.html_url} — approve or cancel it. It no longer blocks auto-releases.`
|
||||
);
|
||||
}
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
});
|
||||
return runs.data.workflow_runs.some(
|
||||
(r) => ACTIVE_RELEASE_STATUSES.has(r.status) && !r.conclusion
|
||||
);
|
||||
}
|
||||
|
||||
function utcDayStart(now = new Date()) {
|
||||
return new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate()));
|
||||
}
|
||||
|
||||
function releaseIntervalStart(now = new Date(), intervalDays = PATCH_RELEASE_INTERVAL_DAYS) {
|
||||
return new Date(now.getTime() - intervalDays * 24 * 60 * 60 * 1000);
|
||||
}
|
||||
|
||||
async function hasSuccessfulReleaseWithinDays(
|
||||
github,
|
||||
owner,
|
||||
repo,
|
||||
now = new Date(),
|
||||
intervalDays = PATCH_RELEASE_INTERVAL_DAYS,
|
||||
) {
|
||||
const windowStart = releaseIntervalStart(now, intervalDays);
|
||||
// Dedupe on GitHub releases (v* tags) rather than run conclusions: a
|
||||
// dry_run=true dispatch concludes 'success' without publishing anything and
|
||||
// must not consume the release window. Only a real full release creates a
|
||||
// v* GitHub release (bump_and_release.py's `gh release create`).
|
||||
const releases = await github.rest.repos.listReleases({
|
||||
async function hasSuccessfulReleaseToday(github, owner, repo, now = new Date()) {
|
||||
const dayStart = utcDayStart(now);
|
||||
const runs = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
per_page: 10,
|
||||
workflow_id: 'pypi-release.yml',
|
||||
status: 'completed',
|
||||
per_page: 30,
|
||||
});
|
||||
return releases.data.some(
|
||||
(r) => r.tag_name && r.tag_name.startsWith('v')
|
||||
&& new Date(r.published_at || r.created_at) >= windowStart
|
||||
return runs.data.workflow_runs.some(
|
||||
(r) => r.conclusion === 'success' && new Date(r.created_at) >= dayStart
|
||||
);
|
||||
}
|
||||
|
||||
/** @deprecated Use hasSuccessfulReleaseWithinDays — kept for selftests. */
|
||||
async function hasSuccessfulReleaseToday(github, owner, repo, now = new Date()) {
|
||||
return hasSuccessfulReleaseWithinDays(github, owner, repo, now, 1);
|
||||
}
|
||||
|
||||
async function lastGreenCoreTestsSha(github, owner, repo) {
|
||||
const runs = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
@@ -179,18 +129,15 @@ async function evaluateReleasePreflight(github, owner, repo, options, core) {
|
||||
return out;
|
||||
}
|
||||
|
||||
const referenceTime = options.now instanceof Date ? options.now : new Date();
|
||||
|
||||
if (await hasActiveReleaseRun(github, owner, repo, referenceTime, core)) {
|
||||
if (await hasActiveReleaseRun(github, owner, repo)) {
|
||||
reasons.push('PyPI Release already in progress or awaiting approval');
|
||||
return out;
|
||||
}
|
||||
|
||||
if (await hasSuccessfulReleaseWithinDays(github, owner, repo, referenceTime)) {
|
||||
reasons.push(
|
||||
`already released within last ${PATCH_RELEASE_INTERVAL_DAYS} days; `
|
||||
+ `max one patch release every ${PATCH_RELEASE_INTERVAL_DAYS} days`
|
||||
);
|
||||
const referenceTime = options.now instanceof Date ? options.now : new Date();
|
||||
if (await hasSuccessfulReleaseToday(github, owner, repo, referenceTime)) {
|
||||
const day = referenceTime.toISOString().slice(0, 10);
|
||||
reasons.push(`already released today (UTC ${day}); max one patch release per day`);
|
||||
return out;
|
||||
}
|
||||
|
||||
@@ -260,35 +207,8 @@ async function evaluateReleasePreflight(github, owner, repo, options, core) {
|
||||
out.headSha = evalSha;
|
||||
const greenSha = await lastGreenCoreTestsSha(github, owner, repo);
|
||||
if (greenSha !== evalSha) {
|
||||
// Core Tests has path filters and honors [skip ci] (the release
|
||||
// safety-net commit uses it), so the tip of main may legitimately have
|
||||
// no Core Tests run of its own — e.g. a docs-only commit, or the
|
||||
// "chore(release): … [skip ci]" commit right after a release. Accept a
|
||||
// green ancestor when nothing under the released package paths changed
|
||||
// after it; otherwise the cron path stalls until the next src/** push.
|
||||
let greenAncestorOk = false;
|
||||
if (greenSha && /^[0-9a-f]{40}$/.test(greenSha)) {
|
||||
try {
|
||||
execSync(`git merge-base --is-ancestor ${greenSha} ${evalSha}`);
|
||||
const delta = execSync(
|
||||
`git diff --name-only ${greenSha} ${evalSha} -- ${PACKAGE_PATHS.join(' ')}`,
|
||||
{ encoding: 'utf8' }
|
||||
).trim();
|
||||
greenAncestorOk = delta === '';
|
||||
} catch {
|
||||
greenAncestorOk = false;
|
||||
}
|
||||
}
|
||||
if (!greenAncestorOk) {
|
||||
reasons.push(`CI not green on HEAD (last green: ${greenSha ? greenSha.slice(0, 7) : 'none'})`);
|
||||
return out;
|
||||
}
|
||||
if (core) {
|
||||
core.info(
|
||||
`HEAD ${evalSha.slice(0, 7)} has no Core Tests run; accepting green ancestor `
|
||||
+ `${greenSha.slice(0, 7)} (no package-path changes since).`
|
||||
);
|
||||
}
|
||||
reasons.push(`CI not green on HEAD (last green: ${greenSha ? greenSha.slice(0, 7) : 'none'})`);
|
||||
return out;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -302,11 +222,6 @@ module.exports = {
|
||||
bumpPatch,
|
||||
readVersionsFromTree,
|
||||
pypiVersionExists,
|
||||
PATCH_RELEASE_INTERVAL_DAYS,
|
||||
STALE_WAITING_HOURS,
|
||||
releaseIntervalStart,
|
||||
hasActiveReleaseRun,
|
||||
hasSuccessfulReleaseWithinDays,
|
||||
hasSuccessfulReleaseToday,
|
||||
utcDayStart,
|
||||
evaluateReleasePreflight,
|
||||
|
||||
@@ -49,13 +49,13 @@ jobs:
|
||||
// --- Label triage ---
|
||||
const labels = [];
|
||||
|
||||
// Kind labels (bug before "how to" — bug reports often include "## How to fix")
|
||||
// Kind labels
|
||||
if (content.includes('feature request') || content.includes('[feature')) {
|
||||
labels.push('enhancement');
|
||||
} else if (!title.includes('[question]') && (content.includes('bug') || content.includes('error') || content.includes('crash') || content.includes('traceback'))) {
|
||||
labels.push('bug');
|
||||
} else if (title.includes('[question]') || content.includes('how do i') || (content.includes('how to') && !content.includes('how to fix'))) {
|
||||
} else if (title.includes('[question]') || content.includes('how do i') || content.includes('how to')) {
|
||||
labels.push('question');
|
||||
} else if (content.includes('bug') || content.includes('error') || content.includes('crash') || content.includes('traceback')) {
|
||||
labels.push('bug');
|
||||
} else if (content.includes('question')) {
|
||||
labels.push('question');
|
||||
}
|
||||
@@ -108,10 +108,7 @@ jobs:
|
||||
// --- Auto-trigger Claude for owner issues and actionable external bug/enhancement reports ---
|
||||
const titleLower = (issue.title || '').toLowerCase();
|
||||
const hasActionableTitle = /^(\[[^\]]+\]|bug:|fix[:(]|feat:|ux:|enhancement:)/i.test(titleLower);
|
||||
const autoClaude = isOwner || (hasActionableTitle && (
|
||||
labels.includes('bug') ||
|
||||
(labels.includes('enhancement') && !labels.includes('question'))
|
||||
));
|
||||
const autoClaude = isOwner || (hasActionableTitle && (labels.includes('bug') || labels.includes('enhancement')) && !labels.includes('question'));
|
||||
if (autoClaude) {
|
||||
await github.rest.issues.addLabels({
|
||||
issue_number: issue.number,
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
name: Nightly Release Gate
|
||||
|
||||
# Preflight before PyPI Release (patch bump).
|
||||
# Triggers: Core Tests success on main (workflow_run) or cron every 3 days at 00:00 UTC.
|
||||
# Dedupe: max one successful patch release every 3 days (see release-gate.js).
|
||||
# Triggers: Core Tests success on main (workflow_run) or nightly cron at 00:00 UTC.
|
||||
# Dedupe: max one successful patch release per UTC day (see release-gate.js).
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 0 */3 * *'
|
||||
- cron: '0 0 * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
dry_run:
|
||||
@@ -41,7 +41,7 @@ jobs:
|
||||
github.event.workflow_run.head_branch == 'main' &&
|
||||
github.event.workflow_run.event == 'push' &&
|
||||
!startsWith(github.event.workflow_run.head_commit.message, 'Release v') &&
|
||||
!startsWith(github.event.workflow_run.head_commit.message, 'chore(release):')
|
||||
!startsWith(github.event.workflow_run.head_commit.message, 'Bump praisonai')
|
||||
)
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
@@ -69,10 +69,6 @@ jobs:
|
||||
- name: Fetch main and tags
|
||||
run: git fetch --tags origin main
|
||||
|
||||
# Guards the gate logic itself — no workflow ran these selftests before.
|
||||
- name: Selftest release-gate script
|
||||
run: node .github/scripts/release-gate-selftest.js
|
||||
|
||||
- name: Preflight — path changes, CI SHA, dedupe
|
||||
id: preflight
|
||||
uses: actions/github-script@v7
|
||||
|
||||
+170
-427
@@ -61,29 +61,6 @@ on:
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_deploy:
|
||||
description: 'Skip praisonai-deploy publish (recovery if already on PyPI)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
# NOTE: GitHub caps workflow_dispatch at 25 top-level inputs; this
|
||||
# workflow has 23. Adding a 10th package (skip_* + *_version) hits 25.
|
||||
only:
|
||||
description: 'Release ONLY this package (forces skip on all others); all = no restriction'
|
||||
required: false
|
||||
default: all
|
||||
type: choice
|
||||
options:
|
||||
- all
|
||||
- agents
|
||||
- code
|
||||
- bot
|
||||
- train
|
||||
- browser
|
||||
- mcp
|
||||
- sandbox
|
||||
- deploy
|
||||
- wrapper
|
||||
agents_version:
|
||||
description: 'Override agents version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
@@ -124,11 +101,6 @@ on:
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
deploy_version:
|
||||
description: 'Override praisonai-deploy version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
source:
|
||||
description: 'Trigger source (audit trail)'
|
||||
required: false
|
||||
@@ -162,35 +134,15 @@ jobs:
|
||||
'pypi-auto' || 'pypi'
|
||||
}}
|
||||
env:
|
||||
# PyPI API token auth: username __token__, password = pypi-… token (see pypi.org/help/#invalid-auth)
|
||||
UV_PUBLISH_USERNAME: __token__
|
||||
UV_PUBLISH_PASSWORD: ${{ secrets.PYPI_TOKEN || secrets.PYPI_API_TOKEN }}
|
||||
# GH_TOKEN is NOT set here: it is a GitHub App installation token minted in
|
||||
# "Generate GitHub App token" and exported via $GITHUB_ENV, so releases are
|
||||
# authored by praisonai-triage-agent[bot] rather than MervinPraison.
|
||||
UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN || secrets.PYPI_API_TOKEN }}
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
steps:
|
||||
- name: Generate GitHub App token
|
||||
id: app-token
|
||||
uses: actions/create-github-app-token@v1
|
||||
with:
|
||||
app-id: ${{ secrets.CLAUDE_APP_ID }}
|
||||
private-key: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
owner: ${{ github.repository_owner }}
|
||||
# Scope to this repo only. Without it the token is minted for every
|
||||
# repository the owner has; this job never leaves PraisonAI (checkout,
|
||||
# push to origin, and gh release create all target it).
|
||||
repositories: ${{ github.event.repository.name }}
|
||||
|
||||
- name: Checkout main
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
|
||||
with:
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
token: ${{ steps.app-token.outputs.token }}
|
||||
# Do not bake the token into .git/config: an http.extraheader would
|
||||
# outrank the remote URL set in "Configure git" and pin this first
|
||||
# (1h) token, defeating the refresh before the wrapper release.
|
||||
persist-credentials: false
|
||||
token: ${{ secrets.GH_TOKEN }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
|
||||
@@ -201,19 +153,10 @@ jobs:
|
||||
uses: astral-sh/setup-uv@38f3f104447c67c051c4a08e39b64a148898af3a # v4
|
||||
|
||||
- name: Configure git
|
||||
env:
|
||||
APP_TOKEN: ${{ steps.app-token.outputs.token }}
|
||||
REPO: ${{ github.repository }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git config user.name "praisonai-triage-agent[bot]"
|
||||
git config user.email "272766704+praisonai-triage-agent[bot]@users.noreply.github.com"
|
||||
# persist-credentials:false left the remote unauthenticated; push auth
|
||||
# comes from the app token embedded here (masked in logs, and the
|
||||
# token dies with the runner).
|
||||
git remote set-url origin "https://x-access-token:${APP_TOKEN}@github.com/${REPO}.git"
|
||||
echo "GH_TOKEN=${APP_TOKEN}" >> "$GITHUB_ENV"
|
||||
GH_TOKEN="${APP_TOKEN}" gh auth setup-git
|
||||
git config user.name "MervinPraison"
|
||||
git config user.email "[email protected]"
|
||||
gh auth setup-git
|
||||
|
||||
- name: Release summary
|
||||
run: |
|
||||
@@ -223,36 +166,6 @@ jobs:
|
||||
echo "Dry run: ${{ inputs.dry_run }}"
|
||||
echo "Environment: ${{ (inputs.source == 'ci' || inputs.source == 'nightly') && inputs.bump == 'patch' && 'pypi-auto' || 'pypi' }}"
|
||||
|
||||
# Single source of truth for which packages this run releases. `only`
|
||||
# inverts into the skip flags here; everything downstream (version
|
||||
# computation, PyPI detection, publish conditions) consumes these
|
||||
# outputs, so a dedicated one-package release is one input instead of
|
||||
# eight skip flags.
|
||||
- name: Resolve effective skips
|
||||
id: flags
|
||||
env:
|
||||
ONLY: ${{ inputs.only }}
|
||||
SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
SKIP_CODE: ${{ inputs.skip_code }}
|
||||
SKIP_BOT: ${{ inputs.skip_bot }}
|
||||
SKIP_TRAIN: ${{ inputs.skip_train }}
|
||||
SKIP_BROWSER: ${{ inputs.skip_browser }}
|
||||
SKIP_MCP: ${{ inputs.skip_mcp }}
|
||||
SKIP_SANDBOX: ${{ inputs.skip_sandbox }}
|
||||
SKIP_DEPLOY: ${{ inputs.skip_deploy }}
|
||||
SKIP_WRAPPER: ${{ inputs.skip_wrapper }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
for pkg in agents code bot train browser mcp sandbox deploy wrapper; do
|
||||
var="SKIP_$(echo "$pkg" | tr '[:lower:]' '[:upper:]')"
|
||||
skip="${!var}"
|
||||
if [ -n "${ONLY}" ] && [ "${ONLY}" != "all" ] && [ "${ONLY}" != "$pkg" ]; then
|
||||
skip=true
|
||||
fi
|
||||
echo "skip_${pkg}=${skip}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_${pkg}=${skip}"
|
||||
done
|
||||
|
||||
- name: Compute release versions
|
||||
id: versions
|
||||
env:
|
||||
@@ -265,15 +178,13 @@ jobs:
|
||||
BROWSER_OVERRIDE: ${{ inputs.browser_version }}
|
||||
MCP_OVERRIDE: ${{ inputs.mcp_version }}
|
||||
SANDBOX_OVERRIDE: ${{ inputs.sandbox_version }}
|
||||
DEPLOY_OVERRIDE: ${{ inputs.deploy_version }}
|
||||
SKIP_AGENTS: ${{ steps.flags.outputs.skip_agents }}
|
||||
SKIP_CODE: ${{ steps.flags.outputs.skip_code }}
|
||||
SKIP_BOT: ${{ steps.flags.outputs.skip_bot }}
|
||||
SKIP_TRAIN: ${{ steps.flags.outputs.skip_train }}
|
||||
SKIP_BROWSER: ${{ steps.flags.outputs.skip_browser }}
|
||||
SKIP_MCP: ${{ steps.flags.outputs.skip_mcp }}
|
||||
SKIP_SANDBOX: ${{ steps.flags.outputs.skip_sandbox }}
|
||||
SKIP_DEPLOY: ${{ steps.flags.outputs.skip_deploy }}
|
||||
SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
SKIP_CODE: ${{ inputs.skip_code }}
|
||||
SKIP_BOT: ${{ inputs.skip_bot }}
|
||||
SKIP_TRAIN: ${{ inputs.skip_train }}
|
||||
SKIP_BROWSER: ${{ inputs.skip_browser }}
|
||||
SKIP_MCP: ${{ inputs.skip_mcp }}
|
||||
SKIP_SANDBOX: ${{ inputs.skip_sandbox }}
|
||||
run: |
|
||||
python <<'PY'
|
||||
import os
|
||||
@@ -310,7 +221,6 @@ jobs:
|
||||
browser_override = os.environ.get("BROWSER_OVERRIDE", "").strip()
|
||||
mcp_override = os.environ.get("MCP_OVERRIDE", "").strip()
|
||||
sandbox_override = os.environ.get("SANDBOX_OVERRIDE", "").strip()
|
||||
deploy_override = os.environ.get("DEPLOY_OVERRIDE", "").strip()
|
||||
validate_version("agents_version", agents_override)
|
||||
validate_version("wrapper_version", wrapper_override)
|
||||
validate_version("code_version", code_override)
|
||||
@@ -319,7 +229,6 @@ jobs:
|
||||
validate_version("browser_version", browser_override)
|
||||
validate_version("mcp_version", mcp_override)
|
||||
validate_version("sandbox_version", sandbox_override)
|
||||
validate_version("deploy_version", deploy_override)
|
||||
|
||||
agents_pyproject = root / "src/praisonai-agents/pyproject.toml"
|
||||
agents_content = agents_pyproject.read_text()
|
||||
@@ -377,14 +286,6 @@ jobs:
|
||||
sys.exit(1)
|
||||
current_sandbox = sandbox_match.group(1)
|
||||
|
||||
deploy_pyproject = root / "src/praisonai-deploy/pyproject.toml"
|
||||
deploy_content = deploy_pyproject.read_text()
|
||||
deploy_match = re.search(r'^version\s*=\s*"([^"]+)"', deploy_content, re.MULTILINE)
|
||||
if not deploy_match:
|
||||
print("Could not read praisonai-deploy version from pyproject.toml", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_deploy = deploy_match.group(1)
|
||||
|
||||
wrapper_version_py = root / "src/praisonai/praisonai/version.py"
|
||||
wrapper_content = wrapper_version_py.read_text()
|
||||
wrapper_match = re.search(r'__version__ = "([^"]+)"', wrapper_content)
|
||||
@@ -401,7 +302,6 @@ jobs:
|
||||
("browser", current_browser),
|
||||
("mcp", current_mcp),
|
||||
("sandbox", current_sandbox),
|
||||
("deploy", current_deploy),
|
||||
("wrapper", current_wrapper),
|
||||
):
|
||||
if not SEMVER.match(value):
|
||||
@@ -415,7 +315,6 @@ jobs:
|
||||
skip_browser = os.environ.get("SKIP_BROWSER", "false").lower() == "true"
|
||||
skip_mcp = os.environ.get("SKIP_MCP", "false").lower() == "true"
|
||||
skip_sandbox = os.environ.get("SKIP_SANDBOX", "false").lower() == "true"
|
||||
skip_deploy = os.environ.get("SKIP_DEPLOY", "false").lower() == "true"
|
||||
|
||||
if agents_override:
|
||||
agents_version = agents_override
|
||||
@@ -466,13 +365,6 @@ jobs:
|
||||
else:
|
||||
sandbox_version = bump_version(current_sandbox)
|
||||
|
||||
if deploy_override:
|
||||
deploy_version = deploy_override
|
||||
elif skip_deploy:
|
||||
deploy_version = current_deploy
|
||||
else:
|
||||
deploy_version = bump_version(current_deploy)
|
||||
|
||||
if wrapper_override:
|
||||
wrapper_version = wrapper_override
|
||||
else:
|
||||
@@ -487,7 +379,6 @@ jobs:
|
||||
fh.write(f"browser_version={browser_version}\n")
|
||||
fh.write(f"mcp_version={mcp_version}\n")
|
||||
fh.write(f"sandbox_version={sandbox_version}\n")
|
||||
fh.write(f"deploy_version={deploy_version}\n")
|
||||
fh.write(f"wrapper_version={wrapper_version}\n")
|
||||
fh.write(f"current_agents={current_agents}\n")
|
||||
fh.write(f"current_code={current_code}\n")
|
||||
@@ -496,7 +387,6 @@ jobs:
|
||||
fh.write(f"current_browser={current_browser}\n")
|
||||
fh.write(f"current_mcp={current_mcp}\n")
|
||||
fh.write(f"current_sandbox={current_sandbox}\n")
|
||||
fh.write(f"current_deploy={current_deploy}\n")
|
||||
fh.write(f"current_wrapper={current_wrapper}\n")
|
||||
|
||||
print(f"Agents: {current_agents} -> {agents_version}")
|
||||
@@ -506,7 +396,6 @@ jobs:
|
||||
print(f"Browser: {current_browser} -> {browser_version}")
|
||||
print(f"MCP: {current_mcp} -> {mcp_version}")
|
||||
print(f"Sandbox: {current_sandbox} -> {sandbox_version}")
|
||||
print(f"Deploy: {current_deploy} -> {deploy_version}")
|
||||
print(f"Wrapper: {current_wrapper} -> {wrapper_version}")
|
||||
PY
|
||||
|
||||
@@ -521,17 +410,15 @@ jobs:
|
||||
BROWSER_VERSION: ${{ steps.versions.outputs.browser_version }}
|
||||
MCP_VERSION: ${{ steps.versions.outputs.mcp_version }}
|
||||
SANDBOX_VERSION: ${{ steps.versions.outputs.sandbox_version }}
|
||||
DEPLOY_VERSION: ${{ steps.versions.outputs.deploy_version }}
|
||||
WRAPPER_VERSION: ${{ steps.versions.outputs.wrapper_version }}
|
||||
INPUT_SKIP_AGENTS: ${{ steps.flags.outputs.skip_agents }}
|
||||
INPUT_SKIP_CODE: ${{ steps.flags.outputs.skip_code }}
|
||||
INPUT_SKIP_BOT: ${{ steps.flags.outputs.skip_bot }}
|
||||
INPUT_SKIP_TRAIN: ${{ steps.flags.outputs.skip_train }}
|
||||
INPUT_SKIP_BROWSER: ${{ steps.flags.outputs.skip_browser }}
|
||||
INPUT_SKIP_MCP: ${{ steps.flags.outputs.skip_mcp }}
|
||||
INPUT_SKIP_SANDBOX: ${{ steps.flags.outputs.skip_sandbox }}
|
||||
INPUT_SKIP_DEPLOY: ${{ steps.flags.outputs.skip_deploy }}
|
||||
INPUT_SKIP_WRAPPER: ${{ steps.flags.outputs.skip_wrapper }}
|
||||
INPUT_SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
INPUT_SKIP_CODE: ${{ inputs.skip_code }}
|
||||
INPUT_SKIP_BOT: ${{ inputs.skip_bot }}
|
||||
INPUT_SKIP_TRAIN: ${{ inputs.skip_train }}
|
||||
INPUT_SKIP_BROWSER: ${{ inputs.skip_browser }}
|
||||
INPUT_SKIP_MCP: ${{ inputs.skip_mcp }}
|
||||
INPUT_SKIP_SANDBOX: ${{ inputs.skip_sandbox }}
|
||||
INPUT_SKIP_WRAPPER: ${{ inputs.skip_wrapper }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
skip_agents="${INPUT_SKIP_AGENTS}"
|
||||
@@ -541,53 +428,30 @@ jobs:
|
||||
skip_browser="${INPUT_SKIP_BROWSER}"
|
||||
skip_mcp="${INPUT_SKIP_MCP}"
|
||||
skip_sandbox="${INPUT_SKIP_SANDBOX}"
|
||||
skip_deploy="${INPUT_SKIP_DEPLOY}"
|
||||
skip_wrapper="${INPUT_SKIP_WRAPPER}"
|
||||
# Returns 0 if published, 1 if definitively absent (404). Any other
|
||||
# HTTP status (PyPI outage, 5xx, rate limit) FAILS the run: guessing
|
||||
# "not published" would lead to a duplicate-upload failure midway
|
||||
# through the release, which is strictly worse than stopping here
|
||||
# before anything has been published.
|
||||
pypi_published() { # $1=package $2=version
|
||||
local code attempt
|
||||
for attempt in 1 2 3; do
|
||||
code=$(curl -s -o /dev/null -w '%{http_code}' --max-time 30 \
|
||||
"https://pypi.org/pypi/$1/$2/json" || echo "000")
|
||||
case "$code" in
|
||||
200) return 0 ;;
|
||||
404) return 1 ;;
|
||||
*) echo "PyPI check $1==$2 returned HTTP ${code} (attempt ${attempt}/3)"; sleep 5 ;;
|
||||
esac
|
||||
done
|
||||
echo "❌ Cannot determine PyPI state for $1==$2; refusing to guess." >&2
|
||||
exit 2
|
||||
}
|
||||
if [ "$skip_agents" != "true" ]; then
|
||||
pypi_published praisonaiagents "${AGENTS_VERSION}" && skip_agents=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonaiagents/${AGENTS_VERSION}/json" >/dev/null && skip_agents=true || true
|
||||
fi
|
||||
if [ "$skip_code" != "true" ]; then
|
||||
pypi_published praisonai-code "${CODE_VERSION}" && skip_code=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-code/${CODE_VERSION}/json" >/dev/null && skip_code=true || true
|
||||
fi
|
||||
if [ "$skip_bot" != "true" ]; then
|
||||
pypi_published praisonai-bot "${BOT_VERSION}" && skip_bot=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-bot/${BOT_VERSION}/json" >/dev/null && skip_bot=true || true
|
||||
fi
|
||||
if [ "$skip_train" != "true" ]; then
|
||||
pypi_published praisonai-train "${TRAIN_VERSION}" && skip_train=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-train/${TRAIN_VERSION}/json" >/dev/null && skip_train=true || true
|
||||
fi
|
||||
if [ "$skip_browser" != "true" ]; then
|
||||
pypi_published praisonai-browser "${BROWSER_VERSION}" && skip_browser=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-browser/${BROWSER_VERSION}/json" >/dev/null && skip_browser=true || true
|
||||
fi
|
||||
if [ "$skip_mcp" != "true" ]; then
|
||||
pypi_published praisonai-mcp "${MCP_VERSION}" && skip_mcp=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-mcp/${MCP_VERSION}/json" >/dev/null && skip_mcp=true || true
|
||||
fi
|
||||
if [ "$skip_sandbox" != "true" ]; then
|
||||
pypi_published praisonai-sandbox "${SANDBOX_VERSION}" && skip_sandbox=true || true
|
||||
fi
|
||||
if [ "$skip_deploy" != "true" ]; then
|
||||
pypi_published praisonai-deploy "${DEPLOY_VERSION}" && skip_deploy=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-sandbox/${SANDBOX_VERSION}/json" >/dev/null && skip_sandbox=true || true
|
||||
fi
|
||||
if [ "$skip_wrapper" != "true" ]; then
|
||||
pypi_published praisonai "${WRAPPER_VERSION}" && skip_wrapper=true || true
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai/${WRAPPER_VERSION}/json" >/dev/null && skip_wrapper=true || true
|
||||
fi
|
||||
echo "skip_agents=${skip_agents}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_code=${skip_code}" >> "$GITHUB_OUTPUT"
|
||||
@@ -596,9 +460,8 @@ jobs:
|
||||
echo "skip_browser=${skip_browser}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_mcp=${skip_mcp}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_sandbox=${skip_sandbox}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_deploy=${skip_deploy}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_wrapper=${skip_wrapper}" >> "$GITHUB_OUTPUT"
|
||||
if [ "$skip_agents" = "true" ] && [ "$skip_code" = "true" ] && [ "$skip_bot" = "true" ] && [ "$skip_train" = "true" ] && [ "$skip_browser" = "true" ] && [ "$skip_mcp" = "true" ] && [ "$skip_sandbox" = "true" ] && [ "$skip_deploy" = "true" ] && [ "$skip_wrapper" = "true" ]; then
|
||||
if [ "$skip_agents" = "true" ] && [ "$skip_code" = "true" ] && [ "$skip_bot" = "true" ] && [ "$skip_train" = "true" ] && [ "$skip_browser" = "true" ] && [ "$skip_mcp" = "true" ] && [ "$skip_sandbox" = "true" ] && [ "$skip_wrapper" = "true" ]; then
|
||||
echo "All target versions already on PyPI — nothing to publish."
|
||||
fi
|
||||
|
||||
@@ -612,7 +475,6 @@ jobs:
|
||||
steps.pypi_exists.outputs.skip_browser == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_mcp == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_sandbox == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_deploy == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_wrapper == 'true'
|
||||
run: echo "Idempotent skip — target versions already on PyPI."
|
||||
|
||||
@@ -620,43 +482,34 @@ jobs:
|
||||
if: inputs.dry_run
|
||||
run: |
|
||||
echo "Dry run — no publish, commit, or push."
|
||||
echo "Only: ${{ inputs.only }}"
|
||||
echo "Agents version: ${{ steps.versions.outputs.agents_version }}"
|
||||
echo "Code version: ${{ steps.versions.outputs.code_version }}"
|
||||
echo "Bot version: ${{ steps.versions.outputs.bot_version }}"
|
||||
echo "Train version: ${{ steps.versions.outputs.train_version }}"
|
||||
echo "Browser version: ${{ steps.versions.outputs.browser_version }}"
|
||||
echo "MCP version: ${{ steps.versions.outputs.mcp_version }}"
|
||||
echo "Sandbox version: ${{ steps.versions.outputs.sandbox_version }}"
|
||||
echo "Deploy version: ${{ steps.versions.outputs.deploy_version }}"
|
||||
echo "Wrapper version: ${{ steps.versions.outputs.wrapper_version }}"
|
||||
echo ""
|
||||
if [ "${{ steps.flags.outputs.skip_agents }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "Would publish praisonaiagents ${{ steps.versions.outputs.agents_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_code }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_code }}" != "true" ]; then
|
||||
echo "Would publish praisonai-code ${{ steps.versions.outputs.code_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_bot }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_bot }}" != "true" ]; then
|
||||
echo "Would publish praisonai-bot ${{ steps.versions.outputs.bot_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_train }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_train }}" != "true" ]; then
|
||||
echo "Would publish praisonai-train ${{ steps.versions.outputs.train_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_browser }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_browser }}" != "true" ]; then
|
||||
echo "Would publish praisonai-browser ${{ steps.versions.outputs.browser_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_mcp }}" != "true" ]; then
|
||||
if [ "${{ inputs.skip_mcp }}" != "true" ]; then
|
||||
echo "Would publish praisonai-mcp ${{ steps.versions.outputs.mcp_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_sandbox }}" != "true" ]; then
|
||||
echo "Would publish praisonai-sandbox ${{ steps.versions.outputs.sandbox_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_deploy }}" != "true" ]; then
|
||||
echo "Would publish praisonai-deploy ${{ steps.versions.outputs.deploy_version }}"
|
||||
fi
|
||||
if [ "${{ steps.flags.outputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "Would run bump_and_release.py ${{ steps.versions.outputs.wrapper_version }} --agents ${{ steps.versions.outputs.agents_version }} --code-pin ${{ steps.versions.outputs.code_version }} --bot-pin ${{ steps.versions.outputs.bot_version }} --train-pin ${{ steps.versions.outputs.train_version }} --browser-pin ${{ steps.versions.outputs.browser_version }} --mcp-pin ${{ steps.versions.outputs.mcp_version }} --sandbox-pin ${{ steps.versions.outputs.sandbox_version }} --deploy-pin ${{ steps.versions.outputs.deploy_version }}"
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "Would run bump_and_release.py ${{ steps.versions.outputs.wrapper_version }} --agents ${{ steps.versions.outputs.agents_version }} --code-pin ${{ steps.versions.outputs.code_version }} --bot-pin ${{ steps.versions.outputs.bot_version }} --train-pin ${{ steps.versions.outputs.train_version }} --browser-pin ${{ steps.versions.outputs.browser_version }} --mcp-pin ${{ steps.versions.outputs.mcp_version }}"
|
||||
echo "Would uv publish praisonai ${{ steps.versions.outputs.wrapper_version }}"
|
||||
fi
|
||||
|
||||
@@ -684,9 +537,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonaiagents on PyPI
|
||||
if: >-
|
||||
@@ -715,6 +566,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit agents version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_agents != true &&
|
||||
steps.pypi_exists.outputs.skip_agents != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-agents/pyproject.toml src/praisonai-agents/uv.lock
|
||||
git diff --cached --quiet && { echo "No agents files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonaiagents to ${{ steps.versions.outputs.agents_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-code
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -743,9 +607,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-code on PyPI
|
||||
if: >-
|
||||
@@ -774,6 +636,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-code version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_code != true &&
|
||||
steps.pypi_exists.outputs.skip_code != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-code/pyproject.toml src/praisonai-code/uv.lock src/praisonai-code/praisonai_code/__init__.py
|
||||
git diff --cached --quiet && { echo "No code files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-code to ${{ steps.versions.outputs.code_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-bot
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -802,9 +677,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-bot on PyPI
|
||||
if: >-
|
||||
@@ -833,6 +706,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-bot version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_bot != true &&
|
||||
steps.pypi_exists.outputs.skip_bot != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-bot/pyproject.toml src/praisonai-bot/uv.lock src/praisonai-bot/praisonai_bot/_version.py
|
||||
git diff --cached --quiet && { echo "No bot files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-bot to ${{ steps.versions.outputs.bot_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-train
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -861,9 +747,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-train on PyPI
|
||||
if: >-
|
||||
@@ -892,6 +776,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-train version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_train != true &&
|
||||
steps.pypi_exists.outputs.skip_train != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-train/pyproject.toml src/praisonai-train/uv.lock src/praisonai-train/praisonai_train/_version.py
|
||||
git diff --cached --quiet && { echo "No train files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-train to ${{ steps.versions.outputs.train_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-browser
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -920,9 +817,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-browser on PyPI
|
||||
if: >-
|
||||
@@ -951,6 +846,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-browser version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_browser != true &&
|
||||
steps.pypi_exists.outputs.skip_browser != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-browser/pyproject.toml src/praisonai-browser/uv.lock src/praisonai-browser/praisonai_browser/_version.py
|
||||
git diff --cached --quiet && { echo "No browser files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-browser to ${{ steps.versions.outputs.browser_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-mcp
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -979,9 +887,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-mcp on PyPI
|
||||
if: >-
|
||||
@@ -1010,6 +916,19 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-mcp version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_mcp != true &&
|
||||
steps.pypi_exists.outputs.skip_mcp != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-mcp/pyproject.toml src/praisonai-mcp/uv.lock src/praisonai-mcp/praisonai_mcp/_version.py
|
||||
git diff --cached --quiet && { echo "No mcp files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-mcp to ${{ steps.versions.outputs.mcp_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-sandbox
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
@@ -1038,9 +957,7 @@ jobs:
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-sandbox on PyPI
|
||||
if: >-
|
||||
@@ -1069,101 +986,20 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Publish praisonai-deploy
|
||||
- name: Commit praisonai-sandbox version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_deploy != true &&
|
||||
steps.pypi_exists.outputs.skip_deploy != 'true'
|
||||
working-directory: src/praisonai-deploy
|
||||
env:
|
||||
NEW_VERSION: ${{ steps.versions.outputs.deploy_version }}
|
||||
CURRENT: ${{ steps.versions.outputs.current_deploy }}
|
||||
inputs.skip_sandbox != true &&
|
||||
steps.pypi_exists.outputs.skip_sandbox != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python <<'PY'
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
new = os.environ["NEW_VERSION"]
|
||||
current = os.environ["CURRENT"]
|
||||
pyproject = Path("pyproject.toml")
|
||||
content = pyproject.read_text()
|
||||
pyproject.write_text(content.replace(f'version = "{current}"', f'version = "{new}"', 1))
|
||||
version_py = Path("praisonai_deploy/_version.py")
|
||||
version_content = version_py.read_text()
|
||||
version_py.write_text(re.sub(r'__version__ = "[^"]+"', f'__version__ = "{new}"', version_content, count=1))
|
||||
PY
|
||||
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
# --check-url makes re-uploads idempotent: files already on PyPI are
|
||||
# skipped instead of failing the publish (partial-upload recovery).
|
||||
uv publish --check-url https://pypi.org/simple/
|
||||
|
||||
- name: Wait for praisonai-deploy on PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_deploy != true &&
|
||||
steps.pypi_exists.outputs.skip_deploy != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonai-deploy"
|
||||
VERSION="${{ steps.versions.outputs.deploy_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
# All per-package version bumps are still uncommitted at this point: the
|
||||
# wrapper release below stages every one of them (bump_and_release.py's
|
||||
# release_files list) into a SINGLE "Release v…" commit.
|
||||
|
||||
# App tokens expire after 1h and this job can exceed that (9 packages ×
|
||||
# up to a 600s PyPI wait). Re-mint so the final commit/tag/push/release
|
||||
# never runs on an expired token.
|
||||
- name: Refresh GitHub App token
|
||||
id: app-token-final
|
||||
if: ${{ !cancelled() && inputs.dry_run != true }}
|
||||
# A failed re-mint must not fail the release: the original token may
|
||||
# still be valid, and the next step only swaps tokens on success.
|
||||
continue-on-error: true
|
||||
uses: actions/create-github-app-token@v1
|
||||
with:
|
||||
app-id: ${{ secrets.CLAUDE_APP_ID }}
|
||||
private-key: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
owner: ${{ github.repository_owner }}
|
||||
repositories: ${{ github.event.repository.name }}
|
||||
|
||||
# Guarded on the refresh actually succeeding: if the re-mint failed
|
||||
# (API blip), the ORIGINAL token — still wired into the remote URL and
|
||||
# GH_TOKEN — may well be valid, and overwriting it with an empty string
|
||||
# would turn a recoverable situation into a guaranteed auth failure.
|
||||
- name: Use refreshed GitHub App token
|
||||
if: ${{ !cancelled() && inputs.dry_run != true && steps.app-token-final.outcome == 'success' }}
|
||||
env:
|
||||
APP_TOKEN: ${{ steps.app-token-final.outputs.token }}
|
||||
REPO: ${{ github.repository }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git remote set-url origin "https://x-access-token:${APP_TOKEN}@github.com/${REPO}.git"
|
||||
echo "GH_TOKEN=${APP_TOKEN}" >> "$GITHUB_ENV"
|
||||
git add src/praisonai-sandbox/pyproject.toml src/praisonai-sandbox/uv.lock src/praisonai-sandbox/praisonai_sandbox/_version.py
|
||||
git diff --cached --quiet && { echo "No sandbox files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-sandbox to ${{ steps.versions.outputs.sandbox_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Bump and release wrapper
|
||||
id: wrapper
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_wrapper != true &&
|
||||
@@ -1178,8 +1014,7 @@ jobs:
|
||||
--browser-pin "${{ steps.versions.outputs.browser_version }}" \
|
||||
--mcp-pin "${{ steps.versions.outputs.mcp_version }}" \
|
||||
--sandbox-pin "${{ steps.versions.outputs.sandbox_version }}" \
|
||||
--deploy-pin "${{ steps.versions.outputs.deploy_version }}" \
|
||||
--wait --max-wait 600 --no-add-all --force
|
||||
--wait --max-wait 600 --no-add-all
|
||||
|
||||
- name: Publish praisonai wrapper to PyPI
|
||||
if: >-
|
||||
@@ -1187,7 +1022,7 @@ jobs:
|
||||
inputs.skip_wrapper != true &&
|
||||
steps.pypi_exists.outputs.skip_wrapper != 'true'
|
||||
working-directory: src/praisonai
|
||||
run: uv publish --check-url https://pypi.org/simple/
|
||||
run: uv publish
|
||||
|
||||
- name: Wait for praisonai on PyPI
|
||||
if: >-
|
||||
@@ -1216,139 +1051,47 @@ jobs:
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
# Actually probes PyPI — previously this step only echoed checkmarks
|
||||
# from the input flags, so it "verified" publishes that never happened.
|
||||
- name: Verify PyPI versions
|
||||
if: inputs.dry_run != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
verify() { # $1=pypi-name $2=version $3=effective-skip
|
||||
if [ "$3" = "true" ]; then
|
||||
echo "⏭️ $1 skipped"
|
||||
return 0
|
||||
fi
|
||||
if curl -fsSL --max-time 30 "https://pypi.org/pypi/$1/$2/json" >/dev/null; then
|
||||
echo "✅ $1==$2"
|
||||
else
|
||||
echo "❌ $1==$2 NOT found on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
}
|
||||
verify praisonaiagents "${{ steps.versions.outputs.agents_version }}" "${{ steps.flags.outputs.skip_agents }}"
|
||||
verify praisonai-code "${{ steps.versions.outputs.code_version }}" "${{ steps.flags.outputs.skip_code }}"
|
||||
verify praisonai-bot "${{ steps.versions.outputs.bot_version }}" "${{ steps.flags.outputs.skip_bot }}"
|
||||
verify praisonai-train "${{ steps.versions.outputs.train_version }}" "${{ steps.flags.outputs.skip_train }}"
|
||||
verify praisonai-browser "${{ steps.versions.outputs.browser_version }}" "${{ steps.flags.outputs.skip_browser }}"
|
||||
verify praisonai-mcp "${{ steps.versions.outputs.mcp_version }}" "${{ steps.flags.outputs.skip_mcp }}"
|
||||
verify praisonai-sandbox "${{ steps.versions.outputs.sandbox_version }}" "${{ steps.flags.outputs.skip_sandbox }}"
|
||||
verify praisonai-deploy "${{ steps.versions.outputs.deploy_version }}" "${{ steps.flags.outputs.skip_deploy }}"
|
||||
verify praisonai "${{ steps.versions.outputs.wrapper_version }}" "${{ steps.flags.outputs.skip_wrapper }}"
|
||||
AGENTS="${{ steps.versions.outputs.agents_version }}"
|
||||
CODE="${{ steps.versions.outputs.code_version }}"
|
||||
BOT="${{ steps.versions.outputs.bot_version }}"
|
||||
TRAIN="${{ steps.versions.outputs.train_version }}"
|
||||
BROWSER="${{ steps.versions.outputs.browser_version }}"
|
||||
MCP="${{ steps.versions.outputs.mcp_version }}"
|
||||
SANDBOX="${{ steps.versions.outputs.sandbox_version }}"
|
||||
WRAPPER="${{ steps.versions.outputs.wrapper_version }}"
|
||||
|
||||
# Safety net. On a clean run the wrapper's "Release v…" commit already
|
||||
# carries every bump and this is a no-op. It only fires when the single
|
||||
# commit could not happen: a package publish failed midway (those versions
|
||||
# are already live on PyPI, so the bumps must not be lost), skip_wrapper
|
||||
# was set, or the wrapper itself failed.
|
||||
- name: Persist any uncommitted version bumps
|
||||
if: ${{ !cancelled() && inputs.dry_run != true }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
# If the wrapper release did not complete, drop any uncommitted
|
||||
# wrapper-side rewrites (version.py, Dockerfiles, pins): committing
|
||||
# them would put a wrapper version on main that never reached PyPI,
|
||||
# and the next auto-bump would skip past it forever. Committed
|
||||
# changes are untouched (checkout only reverts the working tree),
|
||||
# and if the wrapper was skipped these files were never modified.
|
||||
if [ "${{ steps.wrapper.outcome }}" != "success" ]; then
|
||||
git checkout -- \
|
||||
src/praisonai/praisonai/version.py \
|
||||
src/praisonai/pyproject.toml \
|
||||
src/praisonai/uv.lock \
|
||||
src/praisonai/README.md \
|
||||
src/praisonai/praisonai.rb \
|
||||
src/praisonai-deploy/praisonai_deploy/docker.py \
|
||||
docker/ 2>/dev/null || true
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "✅ praisonaiagents==${AGENTS}"
|
||||
fi
|
||||
# -u = tracked modifications only; uv build output under dist/ is
|
||||
# untracked and stays out of the commit.
|
||||
git add -u
|
||||
git diff --cached --quiet && { echo "Nothing left to commit"; exit 0; }
|
||||
# Name the packages actually staged, so a single-package release
|
||||
# (every other skip_* set) reads "bump praisonai-mcp" rather than a
|
||||
# generic message. Falls back when nothing under src/ is staged.
|
||||
PKGS="$(git diff --cached --name-only \
|
||||
| sed -n 's#^src/\([^/]*\)/.*#\1#p' | sort -u | tr '\n' ' ' | sed 's/ *$//')"
|
||||
if [ -n "$PKGS" ]; then
|
||||
MSG="chore(release): bump ${PKGS} [skip ci]"
|
||||
else
|
||||
MSG="chore(release): persist version bumps [skip ci]"
|
||||
fi
|
||||
echo "Commit message: ${MSG}"
|
||||
git commit -m "$MSG"
|
||||
# This step fires exactly when the release went sideways — i.e. when
|
||||
# main is most likely to have moved — so the rebase+push retries.
|
||||
# Losing this commit deadlocks future auto-releases: the packages
|
||||
# are on PyPI at N+1 while the repo says N, so every later run
|
||||
# detects "already published" and skips both publish and bump.
|
||||
for attempt in 1 2 3; do
|
||||
git fetch origin main
|
||||
if ! git rebase origin/main; then
|
||||
git rebase --abort || true
|
||||
# During rebase, "theirs" is the commit being replayed — the
|
||||
# version bumps — so they win any conflict.
|
||||
if ! git rebase -X theirs origin/main; then
|
||||
git rebase --abort || true
|
||||
echo "Rebase attempt ${attempt}/3 failed"
|
||||
sleep 5
|
||||
continue
|
||||
fi
|
||||
fi
|
||||
if git push origin main; then
|
||||
echo "Pushed version bumps (attempt ${attempt}/3)"
|
||||
exit 0
|
||||
fi
|
||||
echo "Push attempt ${attempt}/3 rejected; retrying..."
|
||||
sleep 5
|
||||
done
|
||||
echo "❌ Could not push version bumps after 3 attempts."
|
||||
echo " Repo is now BEHIND PyPI; commit the version files on main manually"
|
||||
echo " or future auto-releases will no-op ('already published')."
|
||||
exit 1
|
||||
|
||||
# Dedicated releases (skip_wrapper) create no "Release v…" tag — the
|
||||
# wrapper drives that — so tag each published package individually for
|
||||
# provenance. Full releases keep their single v… tag unchanged.
|
||||
- name: Tag dedicated package releases
|
||||
if: >-
|
||||
${{ !cancelled() && inputs.dry_run != true &&
|
||||
steps.flags.outputs.skip_wrapper == 'true' &&
|
||||
steps.versions.outcome == 'success' }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
tag_pkg() { # $1=effective-skip $2=pypi-name $3=version
|
||||
if [ "$1" = "true" ]; then
|
||||
return 0
|
||||
fi
|
||||
local tag="$2-v$3"
|
||||
# Only tag what is confirmed on PyPI — a package whose publish
|
||||
# failed must not get a tag claiming it shipped.
|
||||
if ! curl -fsSL --max-time 30 "https://pypi.org/pypi/$2/$3/json" >/dev/null; then
|
||||
echo "⏭️ $2==$3 not on PyPI; not tagging"
|
||||
return 0
|
||||
fi
|
||||
if git rev-parse -q --verify "refs/tags/${tag}" >/dev/null; then
|
||||
echo "tag ${tag} already exists"
|
||||
return 0
|
||||
fi
|
||||
git tag "${tag}"
|
||||
git push origin "refs/tags/${tag}"
|
||||
echo "🏷️ ${tag}"
|
||||
}
|
||||
tag_pkg "${{ steps.flags.outputs.skip_agents }}" praisonaiagents "${{ steps.versions.outputs.agents_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_code }}" praisonai-code "${{ steps.versions.outputs.code_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_bot }}" praisonai-bot "${{ steps.versions.outputs.bot_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_train }}" praisonai-train "${{ steps.versions.outputs.train_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_browser }}" praisonai-browser "${{ steps.versions.outputs.browser_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_mcp }}" praisonai-mcp "${{ steps.versions.outputs.mcp_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_sandbox }}" praisonai-sandbox "${{ steps.versions.outputs.sandbox_version }}"
|
||||
tag_pkg "${{ steps.flags.outputs.skip_deploy }}" praisonai-deploy "${{ steps.versions.outputs.deploy_version }}"
|
||||
if [ "${{ inputs.skip_code }}" != "true" ]; then
|
||||
echo "✅ praisonai-code==${CODE}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_bot }}" != "true" ]; then
|
||||
echo "✅ praisonai-bot==${BOT}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_train }}" != "true" ]; then
|
||||
echo "✅ praisonai-train==${TRAIN}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_browser }}" != "true" ]; then
|
||||
echo "✅ praisonai-browser==${BROWSER}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_mcp }}" != "true" ]; then
|
||||
echo "✅ praisonai-mcp==${MCP}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_sandbox }}" != "true" ]; then
|
||||
echo "✅ praisonai-sandbox==${SANDBOX}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "✅ praisonai==${WRAPPER}"
|
||||
fi
|
||||
@@ -24,7 +24,6 @@ jobs:
|
||||
CLAUDE_APP_PRIVATE_KEY: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
GH_TOKEN_VALUE: ${{ secrets.GH_TOKEN }}
|
||||
DOCS_GITHUB_TOKEN: ${{ secrets.SECRETS_ADMIN_PAT }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -z "${GH_TOKEN:-}" ]; then
|
||||
@@ -35,7 +34,4 @@ jobs:
|
||||
echo -n "$CLAUDE_APP_PRIVATE_KEY" | gh secret set CLAUDE_APP_PRIVATE_KEY --repo "$TARGET"
|
||||
echo -n "$CLAUDE_CODE_OAUTH_TOKEN" | gh secret set CLAUDE_CODE_OAUTH_TOKEN --repo "$TARGET"
|
||||
echo -n "$GH_TOKEN_VALUE" | gh secret set GH_TOKEN --repo "$TARGET"
|
||||
if [ -n "${DOCS_GITHUB_TOKEN:-}" ]; then
|
||||
echo -n "$DOCS_GITHUB_TOKEN" | gh secret set DOCS_GITHUB_TOKEN --repo "$TARGET"
|
||||
fi
|
||||
echo "Synced CLAUDE_APP_ID, CLAUDE_APP_PRIVATE_KEY, CLAUDE_CODE_OAUTH_TOKEN, GH_TOKEN → $TARGET"
|
||||
@@ -5,9 +5,6 @@ on:
|
||||
branches: [ main, develop ]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'src/praisonai-deploy/infra/**'
|
||||
- 'src/praisonai-bot/infra/**'
|
||||
- 'scripts/check_helm_charts.sh'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
@@ -15,9 +12,6 @@ on:
|
||||
branches: [ main, develop ]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'src/praisonai-deploy/infra/**'
|
||||
- 'src/praisonai-bot/infra/**'
|
||||
- 'scripts/check_helm_charts.sh'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
@@ -120,17 +114,11 @@ jobs:
|
||||
extra_ignore: ""
|
||||
pythonpath: >-
|
||||
${{ github.workspace }}/src/praisonai-agents
|
||||
- shard: deploy
|
||||
workdir: src/praisonai-deploy
|
||||
paths: >-
|
||||
tests/
|
||||
extra_ignore: ""
|
||||
pythonpath: >-
|
||||
${{ github.workspace }}/src/praisonai-agents
|
||||
- shard: subdirs
|
||||
paths: >-
|
||||
tests/unit/scheduler/
|
||||
tests/unit/integrations/
|
||||
tests/unit/deploy/
|
||||
tests/unit/mcp/
|
||||
tests/unit/knowledge/
|
||||
tests/unit/llm/
|
||||
@@ -195,9 +183,6 @@ jobs:
|
||||
if [ "$WORKDIR" = "src/praisonai-sandbox" ]; then
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c13_sandbox_imports.sh"
|
||||
fi
|
||||
if [ "$WORKDIR" = "src/praisonai-deploy" ]; then
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c14_deploy_imports.sh"
|
||||
fi
|
||||
if [ "$WORKDIR" = "src/praisonai-mcp" ]; then
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c12_mcp_imports.sh"
|
||||
fi
|
||||
@@ -283,27 +268,9 @@ jobs:
|
||||
--ignore=tests/integration/test_tracker_complex_tasks.py \
|
||||
--ignore=tests/integration/test_serve_integration.py
|
||||
|
||||
helm-charts:
|
||||
name: helm-charts
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Setup Helm
|
||||
uses: azure/setup-helm@v3
|
||||
with:
|
||||
version: v3.14.4
|
||||
- name: Lint and template Helm charts
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_helm_charts.sh"
|
||||
|
||||
test-core:
|
||||
name: test-core
|
||||
needs: [test-core-collect, test-core-unit, test-core-integration, helm-charts]
|
||||
needs: [test-core-collect, test-core-unit, test-core-integration]
|
||||
if: always()
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
@@ -315,9 +282,8 @@ jobs:
|
||||
collect='${{ needs.test-core-collect.result }}'
|
||||
unit='${{ needs.test-core-unit.result }}'
|
||||
integration='${{ needs.test-core-integration.result }}'
|
||||
helm='${{ needs.helm-charts.result }}'
|
||||
echo "collect=$collect unit=$unit integration=$integration helm=$helm"
|
||||
if [ "$collect" != "success" ] || [ "$unit" != "success" ] || [ "$integration" != "success" ] || [ "$helm" != "success" ]; then
|
||||
echo "collect=$collect unit=$unit integration=$integration"
|
||||
if [ "$collect" != "success" ] || [ "$unit" != "success" ] || [ "$integration" != "success" ]; then
|
||||
echo "Core Tests failed"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
@@ -86,7 +86,6 @@ jobs:
|
||||
tests/unit/test_c11_browser_backward_compat.py \
|
||||
tests/unit/test_c12_mcp_backward_compat.py \
|
||||
tests/unit/test_c13_sandbox_backward_compat.py \
|
||||
tests/unit/test_c14_deploy_backward_compat.py \
|
||||
-q --tb=line --timeout=30 --maxfail=5
|
||||
python -m pytest tests/unit/cli/ \
|
||||
../praisonai-bot/tests/unit/cli/test_onboard_command.py \
|
||||
@@ -270,26 +269,10 @@ jobs:
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c13_sandbox_imports.sh"
|
||||
python -m pytest src/praisonai-sandbox/tests -q -m "not network"
|
||||
|
||||
- name: Standalone praisonai-deploy smoke (C14)
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python -m venv /tmp/praisonai-deploy-standalone
|
||||
/tmp/praisonai-deploy-standalone/bin/pip install -q -e src/praisonai-agents -e src/praisonai-deploy
|
||||
/tmp/praisonai-deploy-standalone/bin/python -c "
|
||||
from praisonai_deploy._version import __version__ as pkg_version
|
||||
import praisonai_deploy
|
||||
assert praisonai_deploy.__version__ == pkg_version
|
||||
assert 'main' not in __import__('sys').modules
|
||||
print('deploy standalone ok', praisonai_deploy.__version__)
|
||||
"
|
||||
/tmp/praisonai-deploy-standalone/bin/praisonai-deploy --help
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c14_deploy_imports.sh"
|
||||
python -m pytest src/praisonai-deploy/tests -q -m "not network"
|
||||
|
||||
- name: Audit hybrid module imports (C8 full stack)
|
||||
run: |
|
||||
set -euo pipefail
|
||||
pip install -q -e src/praisonai-agents -e src/praisonai-code -e src/praisonai-bot -e src/praisonai-train -e src/praisonai-browser -e src/praisonai-mcp -e src/praisonai-sandbox -e src/praisonai-deploy -e src/praisonai
|
||||
pip install -q -e src/praisonai-agents -e src/praisonai-code -e src/praisonai-bot -e src/praisonai-train -e src/praisonai-browser -e src/praisonai-mcp -e src/praisonai-sandbox -e src/praisonai
|
||||
python scripts/audit_hybrid_modules.py
|
||||
|
||||
- name: Smoke Test Summary
|
||||
@@ -799,9 +782,6 @@ jobs:
|
||||
tests/unit/test_decorator_simple.py
|
||||
tests/unit/test_db_adapter_tracing_init.py
|
||||
../praisonai-bot/tests/unit/test_bot_wiring.py
|
||||
../praisonai-bot/tests/unit/bots/test_enable_shell.py
|
||||
../praisonai-bot/tests/unit/gateway/test_preflight.py
|
||||
../praisonai-bot/tests/unit/gateway/test_gateway_doctor.py
|
||||
../praisonai-bot/tests/unit/test_bot_history.py
|
||||
../praisonai-bot/tests/unit/test_bot_fixes.py
|
||||
tests/unit/test_auto_lazy_loading.py
|
||||
|
||||
-12
@@ -12,7 +12,6 @@ assets
|
||||
.DS_Store
|
||||
.pytest_cache
|
||||
praisonAI.egg-info
|
||||
src/*/build/
|
||||
flagged
|
||||
test.yaml
|
||||
db
|
||||
@@ -25,22 +24,11 @@ output
|
||||
!src/praisonai-agents/praisonaiagents/output/
|
||||
!src/praisonai-code/praisonai_code/cli/output/
|
||||
!src/praisonai-bot/praisonai_bot/cli/output/
|
||||
!src/praisonai-ts/src/db/
|
||||
!src/praisonai-ts/src/cli/output/
|
||||
|
||||
.files
|
||||
threads.db
|
||||
threads.db-journal
|
||||
|
||||
# Example run artifacts (generated at runtime, must not be committed)
|
||||
examples/**/knowledge.db
|
||||
examples/**/knowledge.db-journal
|
||||
examples/python/managed-agents/managed_ids.json
|
||||
examples/python/save_output/blog_post.md
|
||||
examples/python/save_output/generated/
|
||||
examples/python/token-metrics/token_metrics_export.json
|
||||
examples/python/usecases/market_research_results.json
|
||||
|
||||
.chainlit
|
||||
!praisonai/ui/config/.chainlit
|
||||
|
||||
|
||||
@@ -7,9 +7,9 @@ You are working on the PraisonAI project.
|
||||
- Be concise and helpful in responses
|
||||
- Test implementation thoroughly
|
||||
- Ensure backward compatibility with existing APIs
|
||||
- Follow protocol-driven design across the nine packages: core protocols in `praisonaiagents/`, agentic terminal CLI in `praisonai-code/`, bots/gateway in `praisonai-bot/`, LLM fine-tuning + agent training in `praisonai-train/`, browser automation in `praisonai-browser/`, MCP server host in `praisonai-mcp/`, sandbox backends in `praisonai-sandbox/`, deployment in `praisonai-deploy/`, integrations/serve/dashboard in the `praisonai/` wrapper
|
||||
- Follow protocol-driven design across the eight packages: core protocols in `praisonaiagents/`, agentic terminal CLI in `praisonai-code/`, bots/gateway in `praisonai-bot/`, LLM fine-tuning + agent training in `praisonai-train/`, browser automation in `praisonai-browser/`, MCP server host in `praisonai-mcp/`, sandbox backends in `praisonai-sandbox/`, integrations/serve/dashboard in the `praisonai/` wrapper
|
||||
- Preserve old `praisonai.*` import paths via shims when moving code between packages (see §2.3 in `src/praisonai-agents/AGENTS.md`; shim helpers in `src/praisonai/praisonai/cli/_shim.py`)
|
||||
- Package boundaries and dependency rules: `ARCHITECTURE.md` §2 (Tier 2 packages must never PyPI-depend on the wrapper; cross-tier access goes through lazy `_*_bridge` modules)
|
||||
- Boundary manifests: `src/praisonai/tests/PRAISONAI_BOT_MANIFEST.md` (C9), `src/praisonai/tests/PRAISONAI_TRAIN_MANIFEST.md` (C10), `src/praisonai/tests/PRAISONAI_BROWSER_MANIFEST.md` (C11), `src/praisonai/tests/PRAISONAI_MCP_MANIFEST.md` (C12), `src/praisonai/tests/PRAISONAI_SANDBOX_MANIFEST.md` (C13), `src/praisonai/tests/PRAISONAI_DEPLOY_MANIFEST.md` (C14)
|
||||
- Boundary manifests: `src/praisonai/tests/PRAISONAI_BOT_MANIFEST.md` (C9), `src/praisonai/tests/PRAISONAI_TRAIN_MANIFEST.md` (C10), `src/praisonai/tests/PRAISONAI_BROWSER_MANIFEST.md` (C11), `src/praisonai/tests/PRAISONAI_MCP_MANIFEST.md` (C12), `src/praisonai/tests/PRAISONAI_SANDBOX_MANIFEST.md` (C13)
|
||||
- When reviewing a PR or an issue, evaluate whether the change addresses a framework concern or a user goal, and design its surface (params, naming, defaults) accordingly
|
||||
- The aim of this package is to stay **lightweight and powerful**. Do a critical review at each stage — when triaging an issue, when planning a fix, and when reviewing/implementing a PR. Reject scope creep for the sake of adding features: if a capability already exists (e.g. via existing Agent params like `instructions`/`backstory`/`tools`/`hooks`/`memory`), prefer it over a new API surface. A change must genuinely strengthen the SDK (simpler, more robust, more user-friendly) — do not add knobs, params, modules, or exports that have no live consumer or that merely duplicate existing behaviour.
|
||||
+10
-29
@@ -1,6 +1,6 @@
|
||||
# PraisonAI Architecture
|
||||
|
||||
> **Last updated:** 2026-07-31 (C14 — nine-package tiered model)
|
||||
> **Last updated:** 2026-07-17 (C13 — eight-package tiered model)
|
||||
>
|
||||
> Strategic architecture document for PraisonAI — a multi-agent AI framework.
|
||||
> Covers **Python tiered package model (C7.1 + C9 + C10)**, system design, runtime
|
||||
@@ -11,7 +11,7 @@
|
||||
## Table of Contents
|
||||
|
||||
1. [Executive Summary](#1-executive-summary)
|
||||
2. [Python Tiered Package Model (C7.1 + C9 + C10 + C11 + C12 + C13 + C14)](#2-python-tiered-package-model-c71--c9--c10--c11--c12--c13--c14)
|
||||
2. [Python Tiered Package Model (C7.1 + C9 + C10 + C11 + C12 + C13)](#2-python-tiered-package-model-c71--c9--c10--c11--c12--c13)
|
||||
3. [System Overview](#3-system-overview)
|
||||
4. [Layered Architecture](#4-layered-architecture)
|
||||
5. [Core Data Contracts](#5-core-data-contracts)
|
||||
@@ -51,18 +51,17 @@ Orchestration + Observability** core to unlock adoption and trust:
|
||||
|
||||
---
|
||||
|
||||
## 2. Python Tiered Package Model (C7.1 + C9 + C10 + C11 + C12 + C13 + C14)
|
||||
## 2. Python Tiered Package Model (C7.1 + C9 + C10 + C11 + C12 + C13)
|
||||
|
||||
**Release:** v4.6.110+ · `praisonaiagents` · `praisonai-code` · `praisonai-bot` · `praisonai-train` · `praisonai-browser` · `praisonai-mcp` · `praisonai-sandbox` · `praisonai-deploy` · `praisonai`
|
||||
**Release:** v4.6.110+ · `praisonaiagents` · `praisonai-code` · `praisonai-bot` · `praisonai-train` · `praisonai-browser` · `praisonai-mcp` · `praisonai-sandbox` · `praisonai`
|
||||
|
||||
The Python monorepo publishes nine packages in three tiers with strict dependency
|
||||
The Python monorepo publishes eight packages in three tiers with strict dependency
|
||||
direction. C7 delivered a standalone agentic hot path; C7.1 formalised
|
||||
code/wrapper ownership; C9 extracted bots, gateway, and channel CLI into
|
||||
`praisonai-bot`; C10 extracted LLM fine-tuning and agent training into
|
||||
`praisonai-train`; C11 extracted browser automation into `praisonai-browser`;
|
||||
C12 extracted the heavy MCP host into `praisonai-mcp`.
|
||||
C13 extracted sandbox backends into `praisonai-sandbox`.
|
||||
C14 extracted deployment (API, Docker, cloud) into `praisonai-deploy`.
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
@@ -70,14 +69,13 @@ flowchart TB
|
||||
Agents["praisonaiagents<br/>Agent, tools, memory, hooks, protocols"]
|
||||
end
|
||||
|
||||
subgraph tier2 [Tier 2 — Terminal + Bot + Train + Browser + MCP + Sandbox + Deploy]
|
||||
subgraph tier2 [Tier 2 — Terminal + Bot + Train + Browser + MCP + Sandbox]
|
||||
Code["praisonai-code<br/>run, chat, code, Typer, runtime, LLM"]
|
||||
Bot["praisonai-bot<br/>bots, gateway, channel CLI, OS daemon"]
|
||||
Train["praisonai-train<br/>LLM fine-tuning, agent training"]
|
||||
Browser["praisonai-browser<br/>extension bridge, CDP, Playwright"]
|
||||
MCP["praisonai-mcp<br/>MCP server host, auth, capability adapters"]
|
||||
Sandbox["praisonai-sandbox<br/>Docker, E2B, Modal, Sandlock backends"]
|
||||
Deploy["praisonai-deploy<br/>API, Docker, AWS/Azure/GCP deploy"]
|
||||
end
|
||||
|
||||
subgraph tier3 [Tier 3 — Wrapper]
|
||||
@@ -90,53 +88,36 @@ flowchart TB
|
||||
Agents --> Browser
|
||||
Agents --> MCP
|
||||
Agents --> Sandbox
|
||||
Agents --> Deploy
|
||||
Agents --> Wrapper
|
||||
Code -.->|"lazy _bot_bridge"| Bot
|
||||
Code -.->|"lazy _train_bridge"| Train
|
||||
Code -.->|"lazy _browser_bridge"| Browser
|
||||
Code -.->|"lazy _mcp_bridge"| MCP
|
||||
Code -.->|"lazy _sandbox_bridge"| Sandbox
|
||||
Code -.->|"lazy _deploy_bridge"| Deploy
|
||||
Code -.->|"lazy _wrapper_bridge"| Wrapper
|
||||
Bot -.->|"lazy _code_bridge / _wrapper_bridge"| Code
|
||||
Bot -.->|"lazy _wrapper_bridge"| Wrapper
|
||||
Train -.->|"lazy _code_bridge / _wrapper_bridge"| Code
|
||||
```
|
||||
|
||||
**PyPI publish order:** `praisonaiagents` → `praisonai-code` + `praisonai-bot` + `praisonai-train` + `praisonai-browser` + `praisonai-mcp` + `praisonai-sandbox` + `praisonai-deploy` → `praisonai`
|
||||
**PyPI publish order:** `praisonaiagents` → `praisonai-code` + `praisonai-bot` + `praisonai-train` + `praisonai-browser` + `praisonai-mcp` + `praisonai-sandbox` → `praisonai`
|
||||
|
||||
**Backward compatibility:** `praisonai.bots`, `praisonai.gateway`, `praisonai.train`,
|
||||
`praisonai.browser`, `praisonai.mcp_server`, `praisonai.sandbox`, `praisonai.deploy`, and related CLI paths remain as
|
||||
`praisonai.browser`, `praisonai.mcp_server`, `praisonai.sandbox`, and related CLI paths remain as
|
||||
`alias_package` shims to `praisonai_bot.*` / `praisonai_train.*` /
|
||||
`praisonai_browser.*` / `praisonai_mcp.*` / `praisonai_sandbox.*` / `praisonai_deploy.*`.
|
||||
`praisonai_browser.*` / `praisonai_mcp.*` / `praisonai_sandbox.*`.
|
||||
|
||||
| Tier | Package | Owns | Must not depend on |
|
||||
|------|---------|------|-------------------|
|
||||
| 1 | `src/praisonai-agents/` | Agent, tools, memory, hooks, `frameworks/` protocols, sandbox protocols | `praisonai`, `praisonai-code`, `praisonai-bot`, `praisonai-train`, `praisonai-browser`, `praisonai-mcp`, `praisonai-sandbox`, `praisonai-deploy` |
|
||||
| 1 | `src/praisonai-agents/` | Agent, tools, memory, hooks, `frameworks/` protocols, sandbox protocols | `praisonai`, `praisonai-code`, `praisonai-bot`, `praisonai-train`, `praisonai-browser`, `praisonai-mcp`, `praisonai-sandbox` |
|
||||
| 2a | `src/praisonai-code/` | `run`/`chat`/`code`, Typer, runtime, LLM, tool resolution | **`praisonai` as a PyPI dependency** (optional lazy imports via `_wrapper_bridge` only) |
|
||||
| 2b | `src/praisonai-bot/` | Bots, gateway, channel CLI, OS daemon, gateway scheduler tick | **`praisonai` as a PyPI dependency** (optional lazy `_wrapper_bridge` for jobs/UI) |
|
||||
| 2c | `src/praisonai-train/` | LLM fine-tuning (Unsloth), agent training, `train` CLI, conda env setup | **`praisonai` as a PyPI dependency** (lazy `_code_bridge` for legacy dispatch) |
|
||||
| 2d | `src/praisonai-browser/` | Extension bridge, CDP/hybrid automation, `browser` CLI | **`praisonai` as a PyPI dependency** (none required; depends on `praisonaiagents` only) |
|
||||
| 2e | `src/praisonai-mcp/` | MCP server host, auth, transports, `mcp` CLI | **`praisonai` as a PyPI dependency** (lazy `_wrapper_bridge` for full capability registry) |
|
||||
| 2f | `src/praisonai-sandbox/` | Sandbox backends (Docker, E2B, Modal, Sandlock, SSH), `SandboxRegistry` | **`praisonai` as a PyPI dependency** (lazy `_code_bridge` for `PluginRegistry`) |
|
||||
| 2g | `src/praisonai-deploy/` | Deploy API/Docker/cloud, `deploy` CLI, scheduler integration | **`praisonai` as a PyPI dependency** (lazy `_plugin_registry` via `_code_bridge`) |
|
||||
| 3 | `src/praisonai/` | `framework_adapters/`, serve, dashboard, async jobs API | — |
|
||||
|
||||
### Repo infra (not PyPI)
|
||||
|
||||
Deployment packaging that stays in the git checkout, not in any tier-2 wheel:
|
||||
|
||||
| Path | Runtime owner | Orchestration |
|
||||
|------|---------------|---------------|
|
||||
| `src/praisonai-bot/infra/helm/praisonai-gateway/` | `praisonai-bot` (gateway) | C14 `deploy helm` wrapper |
|
||||
| `src/praisonai-deploy/infra/helm/praisonai-agents-api/` | Generated API from C14 | C14 cross-link |
|
||||
| `src/praisonai-deploy/infra/compose/agents-stack/` | Docker Compose | `praisonai deploy compose up/down` |
|
||||
| `src/praisonai-deploy/infra/starters/` | Starter scaffolds | `praisonai deploy create --template` |
|
||||
| `docker/` | Mixed (wrapper/bot dev stacks) | Not C14 — see bot manifest for `docker/bots/` |
|
||||
|
||||
Same boundary as C14: Helm/K8s manifests are **repo infra**, not `pip install praisonai-deploy` content.
|
||||
|
||||
**Config kernel:** Phase 0 `praisonai/common/` was skipped; shared config lives in
|
||||
`praisonai_code/cli/configuration/` and is reached by the bot tier via lazy
|
||||
`_code_bridge` (see `src/praisonai/tests/CONFIG_KERNEL.md`).
|
||||
|
||||
@@ -41,6 +41,10 @@ curl -fsSL https://praison.ai/install.sh | bash
|
||||
<img src=".github/images/dashboard.png" alt="PraisonAI Dashboard" width="800" />
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/agentflow.gif" alt="PraisonAI AgentFlow" width="800" />
|
||||
</p>
|
||||
|
||||
```
|
||||
██████╗ ██████╗ █████╗ ██╗███████╗ ██████╗ ███╗ ██╗ █████╗ ██╗
|
||||
██╔══██╗██╔══██╗██╔══██╗██║██╔════╝██╔═══██╗████╗ ██║ ██╔══██╗██║
|
||||
@@ -52,6 +56,12 @@ curl -fsSL https://praison.ai/install.sh | bash
|
||||
pip install praisonai
|
||||
```
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/latest_ai_news_and_crawl_each_url_to_find_info.gif" alt="PraisonAI command execution" width="800" />
|
||||
</p>
|
||||
|
||||
\* `export TAVILY_API_KEY=xxxxx`
|
||||
|
||||
<div align="center">
|
||||
<a href="https://docs.praison.ai">
|
||||
<p align="center">
|
||||
@@ -96,203 +106,6 @@ agent.start("Analyze the top 3 tech trends of 2026 and format as a markdown tabl
|
||||
|
||||
---
|
||||
|
||||
## 🧬 The Five-Layer Agent Stack
|
||||
|
||||
Most frameworks hand you one or two layers and leave the rest as homework. PraisonAI covers **all five** — plus the outer layer that decides *where* your agent actually runs.
|
||||
|
||||
Each layer wraps the one inside it. When an agent misbehaves, the layer tells you where to look.
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ ⬡ MANAGED AGENTS — Where does it actually run? │
|
||||
│ ┌─────────────────────────────────────────────────────────────┐ │
|
||||
│ │ 5 · GRAPH — Who runs when, and who checks whom? │ │
|
||||
│ │ ┌─────────────────────────────────────────────────────────┐ │ │
|
||||
│ │ │ 4 · LOOP — When do we stop? │ │ │
|
||||
│ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │
|
||||
│ │ │ │ 3 · HARNESS — Can it act, and be checked? │ │ │ │
|
||||
│ │ │ │ ┌─────────────────────────────────────────────────┐ │ │ │ │
|
||||
│ │ │ │ │ 2 · CONTEXT — Is the right thing in the window? │ │ │ │ │
|
||||
│ │ │ │ │ ┌─────────────────────────────────────────────┐ │ │ │ │ │
|
||||
│ │ │ │ │ │ 1 · PROMPT — Did I say it clearly? │ │ │ │ │ │
|
||||
│ │ │ │ │ └─────────────────────────────────────────────┘ │ │ │ │ │
|
||||
│ │ │ │ └─────────────────────────────────────────────────┘ │ │ │ │
|
||||
│ │ │ └─────────────────────────────────────────────────────┘ │ │ │
|
||||
│ │ └─────────────────────────────────────────────────────────┘ │ │
|
||||
│ └─────────────────────────────────────────────────────────────┘ │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
| Layer | The question it answers | PraisonAI |
|
||||
|:--|:--|:--|
|
||||
| **1 · Prompt** | Did I say it clearly? | `instructions=`, `role`/`goal`/`backstory`, `output=`, `templates=` |
|
||||
| **2 · Context** | Is the right thing in the window? | `memory=`, `knowledge=`, `context=`, handoff `ContextPolicy` |
|
||||
| **3 · Harness** | Can it act, and be checked? | `tools=`, `MCP()`, `guardrails=`, `approval=`, `hooks=`, `sandbox=` |
|
||||
| **4 · Loop** | When do we stop? | `execution=ExecutionConfig(...)`, `reflection=`, `autonomy=`, doom-loop detection |
|
||||
| **5 · Graph** | Who runs when, and who checks whom? | `AgentFlow`, `route()`, `parallel()`, `loop()`, `repeat()` |
|
||||
| **⬡ Managed** | *Where does it actually run?* | `run_on="docker"` — one shared remote sandbox, or a fully hosted loop |
|
||||
|
||||
### Layer 1 · Prompt — *Did I say it clearly?*
|
||||
|
||||
Role, instructions, examples, output format.
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent
|
||||
|
||||
agent = Agent(
|
||||
role="Senior Data Analyst",
|
||||
goal="Turn raw numbers into decisions",
|
||||
output="verbose", # markdown-formatted output
|
||||
)
|
||||
agent.start("Summarise Q3 revenue trends")
|
||||
```
|
||||
|
||||
### Layer 2 · Context — *Is the right thing in the window?*
|
||||
|
||||
Write, select, compress, isolate — the four context operations, one parameter each.
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent
|
||||
|
||||
agent = Agent(
|
||||
instructions="You are a support engineer.",
|
||||
memory={"user_id": "u-42"}, # write — persists across runs (needs a user_id)
|
||||
knowledge=["docs/"], # select — retrieves only what's relevant
|
||||
context="summarize", # compress — auto-compacts before the limit
|
||||
)
|
||||
```
|
||||
|
||||
> **Isolate** is `handoffs=[specialist]` — a sub-agent inherits the last few messages and the intersection of your tools, not your whole transcript. [📖 Handoffs](https://docs.praison.ai/docs/concepts/handoffs)
|
||||
|
||||
### Layer 3 · Harness — *Can it act, and be checked?*
|
||||
|
||||
*Agent = Model + Harness.* Tool dispatch, plus the guides that steer before acting and the sensors that observe after.
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, MCP, tool
|
||||
|
||||
@tool
|
||||
def deploy(env: str) -> str:
|
||||
"""Deploy the current build to an environment."""
|
||||
return f"Deployed to {env}"
|
||||
|
||||
agent = Agent(
|
||||
name="ReleaseEngineer",
|
||||
instructions="You are a release engineer.",
|
||||
tools=[deploy, MCP("npx -y @modelcontextprotocol/server-filesystem /tmp")],
|
||||
approval=True, # guide — human gate before risky tools run
|
||||
)
|
||||
agent.start("Deploy to staging, then list the files you can read")
|
||||
```
|
||||
|
||||
### Layer 4 · Loop — *When do we stop?*
|
||||
|
||||
Hard iteration caps, budget ceilings, no-progress detection and completion checks — every brake is explicit.
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, ExecutionConfig
|
||||
|
||||
agent = Agent(
|
||||
instructions="Fix the failing tests.",
|
||||
execution=ExecutionConfig(max_iter=30, max_budget=0.50, on_budget_exceeded="stop"),
|
||||
autonomy=True, # required to drive the loop with run_autonomous()
|
||||
)
|
||||
result = agent.run_autonomous("Refactor the auth module", max_iterations=5)
|
||||
|
||||
print(result.completion_reason)
|
||||
# goal | no_tool_calls | max_iterations | timeout | doom_loop | needs_help | error
|
||||
# (with on_budget_exceeded="stop", hitting the cap raises BudgetExceededError,
|
||||
# surfaced here as completion_reason="error")
|
||||
```
|
||||
|
||||
> **Doom-loop detection is on by default.** Repeated identical tool calls and A→B→A→B oscillation get caught — while a poller whose output keeps changing does not. [📖 Doom Loop Detection](https://docs.praison.ai/docs/features/doom-loop-detection)
|
||||
|
||||
### Layer 5 · Graph — *Who runs when, and who checks whom?*
|
||||
|
||||
Topology as a versionable artifact: prompt chaining, routing, parallelisation, orchestrator-worker.
|
||||
|
||||
```python
|
||||
from praisonaiagents import AgentFlow
|
||||
from praisonaiagents.workflows import route, parallel, repeat
|
||||
|
||||
flow = AgentFlow(steps=[
|
||||
classifier,
|
||||
route({"bug": [bug_agent], "feature": [feature_agent], "default": [triage]}),
|
||||
parallel([reviewer, tester]), # fan out, join automatically
|
||||
repeat(editor, until=lambda ctx: "approved" in ctx.previous_result.lower(),
|
||||
max_iterations=3), # evaluator–optimizer
|
||||
])
|
||||
flow.run("Ticket #123: login fails on Safari")
|
||||
```
|
||||
|
||||
> The same graph is expressible in YAML with no Python at all. [📖 AgentFlow](https://docs.praison.ai/docs/concepts/agentflow)
|
||||
|
||||
### ⬡ Outside the stack: Managed Agents — *Where does it actually run?*
|
||||
|
||||
The harness is commoditising; **where** the agent executes is the next multiplier. Rather than burning your laptop's CPU, hand an agent a short-lived cloud sandbox — repo, tools and tests run there.
|
||||
|
||||
```bash
|
||||
pip install praisonai
|
||||
```
|
||||
|
||||
The simplest way in is `run_on=` — one whole team or workflow shares **one** sandbox, so a file written by step 1 is there for step 2:
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, AgentFlow
|
||||
|
||||
writer = Agent(name="Writer", instructions="You write files.")
|
||||
reader = Agent(name="Reader", instructions="You read files.")
|
||||
|
||||
flow = AgentFlow(run_on="docker", steps=[writer, reader]) # or e2b | modal | daytona | flyio
|
||||
flow.run("Write 'hello' to /workspace/note.txt, then read it back")
|
||||
```
|
||||
|
||||
Same thing with no Python at all:
|
||||
|
||||
```yaml
|
||||
name: remote-demo
|
||||
run_on: docker # every step shares one sandbox
|
||||
agents:
|
||||
writer: {role: Writer, goal: Write files}
|
||||
reader: {role: Reader, goal: Read files}
|
||||
steps:
|
||||
- agent: writer
|
||||
action: "Write 'hello' to /workspace/note.txt"
|
||||
- agent: reader
|
||||
action: "Read /workspace/note.txt"
|
||||
```
|
||||
|
||||
For a single agent, pick the axis you need — remote **tools** or a remote **loop**:
|
||||
|
||||
```python
|
||||
from praisonai import Agent, LocalAgent, LocalAgentConfig, HostedAgent
|
||||
|
||||
# A. Tools run in a remote sandbox; the agent loop stays local
|
||||
agent = Agent(name="builder", backend=LocalAgent(
|
||||
compute="e2b", # or modal | daytona | flyio | docker | tenki
|
||||
config=LocalAgentConfig(model="gpt-4o-mini", name="RemoteTools"),
|
||||
))
|
||||
|
||||
# B. The entire agent loop runs in the cloud (needs ANTHROPIC_API_KEY)
|
||||
agent = Agent(name="teacher", backend=HostedAgent(provider="anthropic"))
|
||||
agent.start("Write a Python script that prints the first 10 primes, then run it")
|
||||
```
|
||||
|
||||
See what is running and reclaim strays:
|
||||
|
||||
```bash
|
||||
praisonai managed ps # list running sandboxes
|
||||
praisonai managed stop --all # reclaim them
|
||||
```
|
||||
|
||||
Sandboxes shut themselves down when idle (`auto_shutdown`, `idle_timeout_s`), and a post-setup snapshot is reused so the next run skips the image pull and dependency install. Commit a `.praisonai/environment.yaml` and the environment travels with the repo.
|
||||
|
||||
> 📖 [20 runnable examples](examples/python/managed-agents/) · manage sessions with `praisonai managed sessions list <agent-id>` or `praisonai managed sessions resume <session-id> "<prompt>"`
|
||||
|
||||
<sub>Stack framing adapted from [The Five-Layer Agent Stack](https://mer.vin/2026/07/five-layer-agent-stack-match-bug-to-right-layer/) and [Agent Harnesses vs Orbs](https://mer.vin/2026/08/agent-harnesses-vs-orbs-why-remote-sandboxes-beat-local-agent-loops/).</sub>
|
||||
|
||||
---
|
||||
|
||||
## 🌌 The PraisonAI Ecosystem
|
||||
|
||||
Start simple with the core SDK, or expand to full visual builders and dashboards when you're ready.
|
||||
@@ -387,9 +200,9 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
|
||||
| 🧠 | **Planning Mode** — plan → execute → reason | `planning=True` |
|
||||
| 🔍 | **Deep Research** — multi-step autonomous research | [Docs](https://docs.praison.ai/docs/agents/deep-research) |
|
||||
| 🤖 | **External Agents** — orchestrate Claude Code, Gemini CLI, Codex | [Docs](https://docs.praison.ai/docs/code/external-agents) |
|
||||
| 🔄 | **Agent Handoffs** — seamless conversation passing | `handoffs=[other_agent]` |
|
||||
| 🔄 | **Agent Handoffs** — seamless conversation passing | `handoff=True` |
|
||||
| 🛡️ | **Guardrails** — input/output validation | [Docs](https://docs.praison.ai/docs/concepts/guardrails) |
|
||||
| | **Web Search + Fetch** — native browsing | `web=True` |
|
||||
| | **Web Search + Fetch** — native browsing | `web_search=True` |
|
||||
| 🪞 | **Self Reflection** — agent reviews its own output | [Docs](https://docs.praison.ai/docs/concepts/reflection) |
|
||||
| 🔀 | **Workflow Patterns** — route, parallel, loop, repeat | [Docs](https://docs.praison.ai/docs/concepts/agentflow) |
|
||||
| 🧠 | **Memory (zero deps)** — works out of the box | `memory=True` |
|
||||
@@ -399,9 +212,9 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
|
||||
|
||||
| | Feature | How |
|
||||
|--|---------|-----|
|
||||
| 💡 | **Prompt Caching** — reduce latency + cost | `caching=True` |
|
||||
| 💡 | **Prompt Caching** — reduce latency + cost | `prompt_caching=True` |
|
||||
| 💾 | **Sessions + Auto-Save** — persistent state across restarts | `auto_save="my-project"` |
|
||||
| 💭 | **Thinking Budgets** — control reasoning depth | `agent.thinking_budget = 1024` |
|
||||
| 💭 | **Thinking Budgets** — control reasoning depth | `thinking_budget=1024` |
|
||||
| 📚 | **RAG + Quality-Based RAG** — auto quality scoring retrieval | [Docs](https://docs.praison.ai/docs/concepts/rag) |
|
||||
| 📊 | **Model Router** — auto-routes to cheapest capable model | [Docs](https://docs.praison.ai/docs/features/model-router) |
|
||||
| 🧊 | **Shadow Git Checkpoints** — auto-rollback on failure | [Docs](https://docs.praison.ai/docs/features/checkpoints) |
|
||||
@@ -528,10 +341,8 @@ from praisonaiagents import Agent, db
|
||||
|
||||
agent = Agent(
|
||||
name="Assistant",
|
||||
memory={
|
||||
"db": db(database_url="postgresql://localhost/mydb"),
|
||||
"session_id": "my-session",
|
||||
},
|
||||
db=db(database_url="postgresql://localhost/mydb"),
|
||||
session_id="my-session"
|
||||
)
|
||||
agent.chat("Hello!") # Auto-persists messages, runs, traces
|
||||
```
|
||||
@@ -977,16 +788,6 @@ PraisonAI is built for speed, with agent instantiation in around 14μs. This red
|
||||
|
||||
---
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/agentflow.gif" alt="PraisonAI AgentFlow" width="800" />
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/latest_ai_news_and_crawl_each_url_to_find_info.gif" alt="PraisonAI command execution" width="800" />
|
||||
</p>
|
||||
|
||||
\* `export TAVILY_API_KEY=xxxxx`
|
||||
|
||||
## 🔍 Langfuse Tracing
|
||||
|
||||
```bash
|
||||
@@ -1090,10 +891,8 @@ from praisonaiagents import Agent, db
|
||||
|
||||
agent = Agent(
|
||||
name="Assistant",
|
||||
memory={
|
||||
"db": db(database_url="postgresql://localhost/mydb"),
|
||||
"session_id": "my-session",
|
||||
},
|
||||
db=db(database_url="postgresql://localhost/mydb"),
|
||||
session_id="my-session"
|
||||
)
|
||||
```
|
||||
|
||||
@@ -1109,8 +908,8 @@ from praisonaiagents import Agent
|
||||
|
||||
agent = Agent(
|
||||
name="Assistant",
|
||||
# Enables file-based memory (no extra deps!)
|
||||
memory={"user_id": "user123"},
|
||||
memory=True, # Enables file-based memory (no extra deps!)
|
||||
user_id="user123"
|
||||
)
|
||||
```
|
||||
|
||||
|
||||
@@ -7,7 +7,7 @@ Regenerate with: `praisonai docs api-md --write`
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import ContextPolicy, GuardrailResult, HandoffConfig, HandoffCycleError, HandoffDepthError, HandoffError, HandoffInputData, HandoffResult, HandoffTimeoutError, ReflectionOutput, StepResult, ToolResult, ToolValidationError, WorkflowContext
|
||||
from praisonaiagents import ContextPolicy, GuardrailResult, HandoffConfig, HandoffCycleError, HandoffDepthError, HandoffError, HandoffInputData, HandoffResult, HandoffTimeoutError, ReflectionOutput, StepResult, TaskOutput, ToolResult, ToolValidationError, WorkflowContext
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -16,6 +16,8 @@ Methods:
|
||||
* <code title="class HandoffConfig">HandoffConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">from_dict</a>(data: Dict[str, Any]) -> 'HandoffConfig'</code>
|
||||
* <code title="class HandoffConfig">HandoffConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class HandoffResult">HandoffResult.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">from_outcome</a>(outcome: AgentRunOutcome, target_agent: Optional[str] = None, source_agent: Optional[str] = None, handoff_depth: int = 0) -> 'HandoffResult'</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">json</a>() -> Optional[str]</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class ToolResult">ToolResult.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">is_multimodal</a>() -> bool</code>
|
||||
* <code title="class ToolResult">ToolResult.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
|
||||
@@ -23,7 +25,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import Agent, AutoAgents, AutoRagAgent, ContextAgent, DeepResearchAgent, ImageAgent, PlanningAgent, PraisonAIAgents, PromptExpanderAgent, QueryRewriterAgent, create_context_agent
|
||||
from praisonaiagents import Agent, AutoAgents, AutoRagAgent, ContextAgent, DeepResearchAgent, ImageAgent, PlanningAgent, PromptExpanderAgent, QueryRewriterAgent, create_context_agent
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -34,9 +36,13 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">analyze_prompt</a>(prompt: str) -> set</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_history</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_history</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_with_context</a>(message: str, context: 'ContextPack', **kwargs) -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">clone_for_channel</a>() -> 'Agent'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">close</a>() -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">console</a>() -> Optional[Any]</code>
|
||||
@@ -77,7 +83,6 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_autonomous_async</a>(prompt: str, max_iterations: Optional[int] = None, timeout_seconds: Optional[float] = None, completion_promise: Optional[str] = None, clear_context: bool = False)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_until</a>(prompt: str, criteria: str = '', threshold: float = 8.0, max_iterations: int = 5, mode: str = 'optimize', on_iteration: Optional[Callable[[Any], None]] = None, verbose: bool = False, goal: Optional[str] = None, goal_criteria: Optional[Any] = None, judge_model: Optional[str] = None) -> 'EvaluationLoopResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_until_async</a>(prompt: str, criteria: str, threshold: float = 8.0, max_iterations: int = 5, mode: str = 'optimize', on_iteration: Optional[Callable[[Any], None]] = None, verbose: bool = False) -> 'EvaluationLoopResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">set_snapshot_root</a>(project_path: str) -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">skill_manager</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">store_memory</a>(content: str, memory_type: str = 'short_term', action: str = 'add', **kwargs: Any) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">stream_emitter</a>() -> Optional[Any]</code>
|
||||
@@ -86,7 +91,6 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">thinking_budget</a>(value: Optional[int]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">total_cost</a>() -> float</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">undo</a>() -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">where_does_it_run</a>() -> str</code>
|
||||
* <code title="class AutoAgents">AutoAgents.<a href="./src/praisonai-agents/praisonaiagents/agents/autoagents.py">astart</a>()</code>
|
||||
* <code title="class AutoAgents">AutoAgents.<a href="./src/praisonai-agents/praisonaiagents/agents/autoagents.py">start</a>()</code>
|
||||
* <code title="class AutoRagAgent">AutoRagAgent.<a href="./src/praisonai-agents/praisonaiagents/agents/auto_rag_agent.py">achat</a>(message: str, **kwargs) -> str</code>
|
||||
@@ -175,15 +179,14 @@ Methods:
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">get_schema</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">run</a>(**kwargs) -> Any</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">safe_run</a>(**kwargs) -> ToolResult</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">to_model_output</a>(result: Any) -> Optional[Any]</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate</a>() -> bool</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate_class</a>() -> bool</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate_schema_roundtrip</a>() -> bool</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">__call__</a>(*args, **kwargs) -> Any</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">check_availability</a>() -> tuple[bool, str]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">get_schema</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">injected_params</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">run</a>(**kwargs) -> Any</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">to_model_output</a>(result: Any) -> Optional[Any]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">clear</a>() -> None</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">discover_plugins</a>() -> int</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">discover_single_file_plugins</a>() -> int</code>
|
||||
@@ -229,6 +232,13 @@ Methods:
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">repeat</a>(step: Any, until: Optional[Callable[[WorkflowContext], bool]] = None, max_iterations: int = 10) -> Repeat</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">route</a>(routes: Dict[str, List], default: Optional[List] = None) -> Route</code>
|
||||
|
||||
# DB
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import db
|
||||
```
|
||||
|
||||
# Memory
|
||||
|
||||
Types:
|
||||
@@ -249,12 +259,9 @@ Methods:
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">delete_memory</a>(memory_id: str, memory_type: Optional[str] = None) -> bool</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">delete_short_term</a>(memory_id: str) -> bool</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">finalize_task_output</a>(content: str, agent_name: str, quality_score: float, threshold: float = 0.7, metrics: Dict[str, Any] = None, task_id: str = None)</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">forget</a>(**kwargs) -> int</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">get_all_memories</a>() -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">get_learn_context</a>() -> str</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">learn</a>()</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">recall</a>(query: str, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">remember</a>(content: str, **kwargs) -> str</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">reset_all</a>()</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">reset_entity_only</a>()</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">reset_long_term</a>()</code>
|
||||
@@ -262,8 +269,8 @@ Methods:
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">reset_user_memory</a>()</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search</a>(query: str, user_id: Optional[str] = None, agent_id: Optional[str] = None, run_id: Optional[str] = None, limit: int = 5, rerank: bool = False, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_entity</a>(query: str, limit: int = 5) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_long_term</a>(query: str, limit: int = 5, relevance_cutoff: float = 0.0, min_quality: float = 0.0, rerank: bool = False, metadata_filter: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_short_term</a>(query: str, limit: int = 5, min_quality: float = 0.0, relevance_cutoff: float = 0.0, rerank: bool = False, metadata_filter: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_long_term</a>(query: str, limit: int = 5, relevance_cutoff: float = 0.0, min_quality: float = 0.0, rerank: bool = False, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_short_term</a>(query: str, limit: int = 5, min_quality: float = 0.0, relevance_cutoff: float = 0.0, rerank: bool = False, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_user_memory</a>(user_id: str, query: str, limit: int = 5, rerank: bool = False, **kwargs) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">search_with_quality</a>(query: str, min_quality: float = 0.0, memory_type: Literal['short', 'long'] = 'long', limit: int = 5) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">store_entity</a>(name: str, type_: str, desc: str, relations: str)</code>
|
||||
@@ -463,7 +470,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import SkillLoader, SkillsConfig
|
||||
from praisonaiagents import SkillLoader, SkillManager, SkillMetadata, SkillProperties, SkillsConfig
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -475,6 +482,54 @@ Methods:
|
||||
* <code title="class SkillLoader">SkillLoader.<a href="./src/praisonai-agents/praisonaiagents/skills/loader.py">load_metadata</a>(skill_path: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillLoader">SkillLoader.<a href="./src/praisonai-agents/praisonaiagents/skills/loader.py">load_references</a>(skill: LoadedSkill) -> dict</code>
|
||||
* <code title="class SkillLoader">SkillLoader.<a href="./src/praisonai-agents/praisonaiagents/skills/loader.py">load_scripts</a>(skill: LoadedSkill) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate</a>(skill: LoadedSkill) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate_by_name</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_bundle</a>(manifest: 'BundleManifest') -> None</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_skill</a>(skill_path: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_skill_by_name</a>(name: str, skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">approve</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">archive_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">bundle_names</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">bundles</a>() -> List['BundleManifest']</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">clear</a>() -> None</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create</a>(name: str, content: str, category: Optional[str] = None, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create_skill</a>(name: str, content: str, category: str = None, agent_created: bool = True, propose: Optional[bool] = None, base_dir: Optional[str] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete</a>(name: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete_skill</a>(name: str, hard: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">discover</a>(skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> int</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">discover_bundles</a>(skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> int</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit_skill</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_allowed_tools</a>(name: str) -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills</a>() -> List[SkillMetadata]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills_by_state</a>(state: SkillState) -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_bundle</a>(name: str) -> Optional['BundleManifest']</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_bundle_instructions</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_instructions</a>(name: str) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skill</a>(name: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skills_diagnostics</a>() -> Dict[str, ValidationResult]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_user_invocable_skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">invoke</a>(name: str, raw_args: str = '', session_id: Optional[str] = None, shell_exec: bool = False) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_archived_skills</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_pending</a>() -> List[dict]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">load_resources</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch</a>(name: str, old_string: str, new_string: str, file_path: Optional[str] = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch_skill</a>(name: str, old_string: str, new_string: str, file_path: str = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">reject</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_skill_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">resolve</a>(selectors: List[str]) -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">restore_skill</a>(name: str, skill_dir: Optional[str] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">rollback_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skill_names</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">to_prompt</a>() -> str</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">validate_skill_capabilities</a>(skill_name: str, force_refresh: bool = False) -> ValidationResult</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_skill_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillMetadata">SkillMetadata.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">from_properties</a>(props: SkillProperties) -> 'SkillMetadata'</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">idle_days</a>() -> Optional[float]</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class SkillsConfig">SkillsConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
|
||||
# Session
|
||||
@@ -520,7 +575,6 @@ Methods:
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">get_prompts</a>() -> List[dict]</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">get_resources</a>() -> List[dict]</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">get_tools</a>() -> List[Callable]</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">list_active_server_names</a>() -> set</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">shutdown</a>()</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">to_openai_tool</a>()</code>
|
||||
* <code title="class MCP">MCP.<a href="./src/praisonai-agents/praisonaiagents/mcp/mcp.py">with_tool_prefix</a>(prefix: str) -> 'MCP'</code>
|
||||
@@ -684,7 +738,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, RetryBackoffConfig, RunOutcome, __version__, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, RetryBackoffConfig, __version__, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -707,7 +761,6 @@ Methods:
|
||||
* <code title="class AgentFlow">AgentFlow.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class AgentFlow">AgentFlow.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">verbose</a>() -> bool</code>
|
||||
* <code title="class AgentFlow">AgentFlow.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">verbose</a>(value: bool)</code>
|
||||
* <code title="class AgentFlow">AgentFlow.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">where_does_it_run</a>() -> str</code>
|
||||
* <code title="class AgentOSProtocol">AgentOSProtocol.<a href="./src/praisonai-agents/praisonaiagents/app/protocols.py">get_app</a>() -> Any</code>
|
||||
* <code title="class AgentOSProtocol">AgentOSProtocol.<a href="./src/praisonai-agents/praisonaiagents/app/protocols.py">serve</a>(host: Optional[str] = None, port: Optional[int] = None, reload: bool = False, **kwargs: Any) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">aannounce_completion</a>(agent_id: str, task_id: str, result: Any, success: bool = True, error: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None) -> None</code>
|
||||
@@ -719,7 +772,6 @@ Methods:
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">arun_task</a>(task_id)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">aspawn_sub_agent</a>(agent: Agent, task: Any, completion_callback: Optional[Callable[[SubAgentCompletionEvent], Any]] = None, metadata: Optional[Dict[str, Any]] = None) -> SpawnedSubAgent</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">astart</a>(content = None, return_dict = False, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">astart_for_each</a>(inputs, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">await_for_completions</a>(timeout: Optional[float] = None, agent_ids: Optional[List[str]] = None) -> List[SubAgentCompletionEvent]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">clean_json_output</a>(output: str) -> str</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">clear_state</a>() -> None</code>
|
||||
@@ -750,22 +802,16 @@ Methods:
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">run_all_tasks</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">run_task</a>(task_id)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">save_output_to_file</a>(task, task_output)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">save_session_state</a>(session_id: str, include_memory: bool = True) -> bool</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">save_session_state</a>(session_id: str, include_memory: bool = True) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">set_state</a>(key: str, value: Any) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">spawn_sub_agent</a>(agent: Agent, task: Any, completion_callback: Optional[Callable[[SubAgentCompletionEvent], Any]] = None, metadata: Optional[Dict[str, Any]] = None) -> SpawnedSubAgent</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">start</a>(content = None, return_dict = False, output = None, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">start_for_each</a>(inputs, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">stream_emitter</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">todo_list</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">update_plan_step_status</a>(step_id: str, status: str) -> bool</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">update_state</a>(updates: Dict) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">wait_for_completions</a>(timeout: Optional[float] = None, agent_ids: Optional[List[str]] = None) -> List[SubAgentCompletionEvent]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">where_does_it_run</a>() -> str</code>
|
||||
* <code title="class AutoApproveBackend">AutoApproveBackend.<a href="./src/praisonai-agents/praisonaiagents/approval/backends.py">request_approval</a>(request: ApprovalRequest) -> ApprovalDecision</code>
|
||||
* <code title="class AutoApproveBackend">AutoApproveBackend.<a href="./src/praisonai-agents/praisonaiagents/approval/backends.py">request_approval_sync</a>(request: ApprovalRequest) -> ApprovalDecision</code>
|
||||
* <code title="class RunOutcome">RunOutcome.<a href="./src/praisonai-agents/praisonaiagents/agent/run_outcome.py">completed</a>(output: Optional[str] = None) -> 'RunOutcome'</code>
|
||||
* <code title="class RunOutcome">RunOutcome.<a href="./src/praisonai-agents/praisonaiagents/agent/run_outcome.py">from_exception</a>(exc: BaseException, output: Optional[str] = None) -> 'RunOutcome'</code>
|
||||
* <code title="class RunOutcome">RunOutcome.<a href="./src/praisonai-agents/praisonaiagents/agent/run_outcome.py">succeeded</a>() -> bool</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">aembedding</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">aembeddings</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/dimensions.py">get_dimensions</a>(model_name: str) -> int</code>
|
||||
@@ -774,7 +820,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, DB, HostedAgent, HostedAgentConfig, LocalAgent, LocalAgentConfig, LocalManagedAgent, LocalManagedConfig, ManagedAgent, ManagedConfig, __version__, arun, run
|
||||
from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, CloudProvider, DB, Deploy, DeployConfig, DeployType, HostedAgent, HostedAgentConfig, LocalAgent, LocalAgentConfig, LocalManagedAgent, LocalManagedConfig, ManagedAgent, ManagedConfig, __version__, arun, run
|
||||
```
|
||||
|
||||
# CLI
|
||||
@@ -842,13 +888,11 @@ Methods:
|
||||
* <code title="cli">praisonai managed list <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed managed-callback <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed multi <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed ps <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed restore <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed resume <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed run <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed save <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed show <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed stop <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed update <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n export <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n import <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
@@ -903,6 +947,10 @@ Methods:
|
||||
* <code title="cli">praisonai schedule suggestion-dismiss <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-propose <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestions <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise check <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise fix <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise init <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise report <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate check <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate schema <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate validate <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
|
||||
@@ -1,10 +0,0 @@
|
||||
# Deployment infra has moved
|
||||
|
||||
Deployment assets are no longer at the monorepo root.
|
||||
|
||||
| Asset | New location |
|
||||
|-------|----------------|
|
||||
| Gateway Helm chart | [`src/praisonai-bot/infra/helm/praisonai-gateway/`](../src/praisonai-bot/infra/helm/praisonai-gateway/) |
|
||||
| Agents API Helm, Compose, Starters | [`src/praisonai-deploy/infra/`](../src/praisonai-deploy/infra/) |
|
||||
|
||||
See [`src/praisonai-deploy/infra/README.md`](../src/praisonai-deploy/infra/README.md).
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.164" \
|
||||
"praisonai>=4.6.155" \
|
||||
"praisonai[chat]" \
|
||||
"embedchain[github,youtube]"
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.164" \
|
||||
"praisonai>=4.6.155" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[chat]" \
|
||||
"praisonai[realtime]" \
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.164" \
|
||||
"praisonai>=4.6.155" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[crewai]"
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
HTTP Approval Example
|
||||
=====================
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Slack Approval Example
|
||||
======================
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Completions Capability Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Embeddings Capability Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Images Capability Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Moderations Capability Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Energy Industry Template
|
||||
========================
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Transportation Industry Template
|
||||
================================
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
CI Integration Example - Using Doctor in CI/CD pipelines
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Agent-centric Embedding Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
PraisonAI Endpoints Example
|
||||
|
||||
@@ -36,12 +36,6 @@ if __name__ == "__main__":
|
||||
print(f"Custom agent max_rpm: {agent.max_rpm}")
|
||||
print(f"Custom agent max_execution_time: {agent.max_execution_time}")
|
||||
print(f"Custom agent max_retry_limit: {agent.max_retry_limit}")
|
||||
|
||||
# max_rpm auto-creates a live RateLimiter (not just a stored number)
|
||||
assert agent_rate_limited.max_rpm == 10
|
||||
assert agent_rate_limited._rate_limiter is not None
|
||||
assert agent_rate_limited._rate_limiter.requests_per_minute == 10
|
||||
print(f"Rate-limited agent limiter: {agent_rate_limited._rate_limiter}")
|
||||
|
||||
# Test custom agent
|
||||
print("\n--- Custom Execution ---")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Fixed example demonstrating proper guardrail usage with PraisonAI Agents.
|
||||
|
||||
@@ -150,10 +150,14 @@ def main():
|
||||
print(f"\nOriginal document length: {len(content)} characters")
|
||||
|
||||
chunks = [{"text": content, "metadata": {"source": doc_path}}]
|
||||
target_tokens = 2000
|
||||
|
||||
# Estimate original tokens (~4 chars/token) so each ratio maps to a
|
||||
# distinct token budget — compress() truncates to target_tokens.
|
||||
original_tokens = max(1, len(content) // 4)
|
||||
|
||||
# Compress with different ratios
|
||||
for ratio in [0.3, 0.5, 0.7]:
|
||||
target_tokens = max(1, int(original_tokens * ratio))
|
||||
compressor = ContextCompressor(verbose=False)
|
||||
result = compressor.compress(
|
||||
chunks,
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + ClickHouse Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + MongoDB Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + MySQL Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + PostgreSQL Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + Redis Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + SQLite Persistence — Real conversation with session resume.
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Custom Tools MCP Server Example
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
HTTP Stream MCP Server Example
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
MCP Client Example
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""Multi-Agent Shared Session Demo"""
|
||||
from praisonaiagents import Agent
|
||||
from praisonai.persistence import create_conversation_store
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Langfuse Integration Example (Updated for TraceSinkProtocol)
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""MLflow Local Observability Demo (no API key needed)"""
|
||||
import mlflow
|
||||
import time
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
ClickHouse — Persistence Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Minimal Agent with Database Persistence
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
MongoDB StateStore — Full Persistence Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
MySQL ConversationStore — Full Persistence Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
PostgreSQL ConversationStore — Full Persistence Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
PostgreSQL with Runs and Traces
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Redis StateStore — Full Persistence Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Session Resume Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Redis State Store - Agent-First Example
|
||||
|
||||
@@ -28,7 +27,7 @@ my_db = db(
|
||||
agent = Agent(
|
||||
name="Assistant",
|
||||
instructions="You are a helpful assistant.",
|
||||
memory=my_db,
|
||||
db=my_db,
|
||||
session_id="redis-state-example"
|
||||
)
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
PraisonAI A2A Server Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Agent-Centric Autonomy Example.
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
AutoAgents Workflow Patterns Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Context Agent Example - Basic Usage
|
||||
|
||||
@@ -1,111 +0,0 @@
|
||||
"""
|
||||
Human Review Between Sequential AgentTeam Tasks
|
||||
================================================
|
||||
|
||||
Demonstrates a human-in-the-loop review gate between sequential tasks using the
|
||||
existing ``on_task_complete`` hook — no new API required.
|
||||
|
||||
IMPORTANT — two different ``on_task_complete`` hooks exist, with DIFFERENT
|
||||
signatures. Do not confuse them:
|
||||
|
||||
AgentTeam(hooks=MultiAgentHooksConfig(on_task_complete=fn))
|
||||
-> fn(task, task_output) # team-level; gets the Task and its output
|
||||
|
||||
Task(on_task_complete=fn)
|
||||
-> fn(task_output) # 1 param: just the TaskOutput
|
||||
-> fn(task_output, metadata) # 2+ params: TaskOutput + metadata dict
|
||||
# NOTE: NOT (task, task_output)
|
||||
|
||||
This example uses the TEAM-level hook so we get ``(task, task_output)`` and can
|
||||
filter which tasks require review by ``task.name``.
|
||||
|
||||
Approve / reject / edit:
|
||||
- approve -> return, workflow continues
|
||||
- reject -> raise; see "stopping the workflow" note below
|
||||
- edit -> mutate ``task_output.raw``; downstream tasks that read this task via
|
||||
``context=[...]`` pick up the edited text
|
||||
|
||||
Stopping the workflow on reject
|
||||
-------------------------------
|
||||
The TEAM-level hook logs and swallows exceptions, so a bare ``raise`` inside it
|
||||
does NOT stop the sequential run today. To hard-stop on reject, use the PER-TASK
|
||||
callback path with the 1-argument signature and ``fail_on_callback_error=True``
|
||||
(see ``review_output`` / ``t1_strict`` at the bottom of this file).
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, Task, AgentTeam
|
||||
from praisonaiagents.config.feature_configs import MultiAgentHooksConfig
|
||||
|
||||
# Only these task names trigger a human review gate.
|
||||
REVIEW_TASKS = {"research"}
|
||||
|
||||
|
||||
# --- Team-level review gate: signature is (task, task_output) ---------------
|
||||
def review_gate(task, task_output):
|
||||
if task.name not in REVIEW_TASKS:
|
||||
return
|
||||
|
||||
print(f"\n--- Review: {task.name} ---\n{task_output.raw}\n")
|
||||
choice = input("Approve (y), reject (n), edit (e)? ").strip().lower()
|
||||
|
||||
if choice == "n":
|
||||
# NOTE: team-level hook swallows this; see per-task strict path below
|
||||
# for a version that actually halts the workflow.
|
||||
raise RuntimeError(f"Human rejected task '{task.name}'")
|
||||
|
||||
if choice == "e":
|
||||
# task.result is the same object as task_output, so mutating .raw here
|
||||
# propagates to downstream tasks that use context=[this_task].
|
||||
task_output.raw = input("Edited output: ").strip()
|
||||
|
||||
|
||||
researcher = Agent(name="Researcher", role="Researcher", goal="Research", backstory="Expert")
|
||||
writer = Agent(name="Writer", role="Writer", goal="Write", backstory="Writer")
|
||||
|
||||
t1 = Task(
|
||||
name="research",
|
||||
description="List 5 facts about {{topic}}", # {{...}} is the substitution syntax
|
||||
expected_output="5 bullets",
|
||||
agent=researcher,
|
||||
)
|
||||
t2 = Task(
|
||||
name="summary",
|
||||
description="Write 3-sentence summary",
|
||||
expected_output="3 sentences",
|
||||
agent=writer,
|
||||
context=[t1], # reads the (possibly edited) output of t1
|
||||
)
|
||||
|
||||
team = AgentTeam(
|
||||
agents=[researcher, writer],
|
||||
tasks=[t1, t2],
|
||||
process="sequential",
|
||||
variables={"topic": "REST APIs"}, # substituted into {{topic}} in task descriptions
|
||||
hooks=MultiAgentHooksConfig(on_task_complete=review_gate),
|
||||
)
|
||||
|
||||
|
||||
# --- Alternative: per-task strict gate that HALTS on reject -----------------
|
||||
# Per-task Task.on_task_complete uses the 1-argument signature (task_output).
|
||||
# With fail_on_callback_error=True a raised exception re-raises and stops the run.
|
||||
def review_output(task_output):
|
||||
print(f"\n--- Review output ---\n{task_output.raw}\n")
|
||||
if input("Approve? (y/n) ").strip().lower() == "n":
|
||||
raise RuntimeError("Human rejected output")
|
||||
|
||||
|
||||
t1_strict = Task(
|
||||
name="research",
|
||||
description="List 5 facts about {{topic}}",
|
||||
expected_output="5 bullets",
|
||||
agent=researcher,
|
||||
variables={"topic": "REST APIs"},
|
||||
on_task_complete=review_output, # signature: (task_output)
|
||||
fail_on_callback_error=True, # required so reject halts the workflow
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# NOTE: template values come from AgentTeam(variables=...), NOT start(inputs=...).
|
||||
# start() forwards **kwargs but does not consume an ``inputs`` argument.
|
||||
team.start()
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Math Agent Example
|
||||
|
||||
|
||||
@@ -144,6 +144,7 @@ def example_auto_agents_multi_provider():
|
||||
|
||||
# After agents are created, upgrade them to multi-model agents
|
||||
multi_model_agents = []
|
||||
wrapper_by_original = {}
|
||||
for agent in auto_agents.agents:
|
||||
# Convert regular agents to multi-model agents
|
||||
multi_agent = RouterAgent(
|
||||
@@ -155,9 +156,18 @@ def example_auto_agents_multi_provider():
|
||||
models=["gpt-4o-mini", "gemini/gemini-1.5-flash", "claude-3-haiku-20240307", "gpt-4o-mini"],
|
||||
routing_strategy="auto")
|
||||
multi_model_agents.append(multi_agent)
|
||||
wrapper_by_original[id(agent)] = multi_agent
|
||||
|
||||
# Update the agents in the AutoAgents instance
|
||||
auto_agents.agents = multi_model_agents
|
||||
|
||||
# Rebind each task's agent to its wrapper — AutoAgents stores a direct agent
|
||||
# reference on every Task and execution reads task.agent, so replacing only
|
||||
# auto_agents.agents would leave the workflow bound to the original agents.
|
||||
for task in getattr(auto_agents, "tasks", []) or []:
|
||||
wrapper = wrapper_by_original.get(id(task.agent))
|
||||
if wrapper is not None:
|
||||
task.agent = wrapper
|
||||
|
||||
# Run the auto-generated workflow
|
||||
results = auto_agents.start()
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, MCP
|
||||
|
||||
qa_agent = Agent(
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, AgentTeam, Tools
|
||||
|
||||
research_agent = Agent(name="Research", instructions="You are a research agent to search internet about AI 2024", tools=[Tools.internet_search])
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, AgentTeam, Tools
|
||||
|
||||
research_agent = Agent(name="Research", instructions="You are a research agent to search internet about AI 2024", tools=[Tools.internet_search])
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Secondary Market Research FastAPI Application
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, MCP
|
||||
|
||||
search_agent = Agent(
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, AgentTeam
|
||||
from duckduckgo_search import DDGS
|
||||
|
||||
|
||||
@@ -1,15 +1,5 @@
|
||||
import threading
|
||||
import time
|
||||
|
||||
from praisonaiagents import Agent
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
agent = Agent(name="TweetAgent", instructions="Create a Tweet based on the topic provided")
|
||||
server = threading.Thread(
|
||||
target=lambda: agent.launch(port=8080, protocol="mcp", path="/mcp"),
|
||||
daemon=True,
|
||||
)
|
||||
server.start()
|
||||
time.sleep(2)
|
||||
print("MCP server started on http://127.0.0.1:8080/mcp")
|
||||
agent.launch(port=8080, protocol="mcp", path="/")
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import AudioAgent
|
||||
|
||||
# Text to Speech
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import AudioAgent
|
||||
|
||||
agent = AudioAgent(llm="openai/tts-1-hd")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
# Text-to-Speech with OpenAI
|
||||
# Requires: export OPENAI_API_KEY=your-key
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import AudioAgent
|
||||
|
||||
agent = AudioAgent(llm="elevenlabs/eleven_multilingual_v2")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import AudioAgent
|
||||
|
||||
agent = AudioAgent(llm="gemini/gemini-2.5-flash-preview-tts")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import AudioAgent
|
||||
|
||||
agent = AudioAgent(llm="openai/tts-1")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Bot Commands Example — Built-in /status, /new, /help commands.
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Bot Gateway Example — Run multiple bots from one gateway server.
|
||||
|
||||
|
||||
@@ -102,7 +102,7 @@ async def demo_with_run_control():
|
||||
|
||||
from praisonai.bots._run_control import SessionRunControl
|
||||
from praisonai.bots._session import BotSessionManager
|
||||
from praisonai.bots._commands import handle_stop_command_async
|
||||
from praisonai.bots._commands import handle_stop_command
|
||||
|
||||
# Session manager with run control
|
||||
run_control = SessionRunControl(
|
||||
@@ -136,7 +136,7 @@ async def demo_with_run_control():
|
||||
print("\n3. User decides to stop current task:")
|
||||
print(" User: '/stop'")
|
||||
|
||||
stop_response = await handle_stop_command_async(user_id, run_control)
|
||||
stop_response = await handle_stop_command(user_id, run_control)
|
||||
print(f" Bot: {stop_response}")
|
||||
|
||||
# Wait for first task to complete (it should be cancelled)
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Standalone gateway example (praisonai-bot first).
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""HTTP Approval — serve a local web dashboard for tool approvals."""
|
||||
|
||||
from praisonaiagents import Agent
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Basic Camera Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Continuous Camera Monitoring Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Multi-Agent Camera Analysis Example
|
||||
|
||||
|
||||
@@ -46,6 +46,6 @@ custom_cmd = SlashCommand(
|
||||
alt_names=["mc"]
|
||||
)
|
||||
|
||||
handler.register_command(custom_cmd)
|
||||
handler.register(custom_cmd)
|
||||
result = handler.execute("/mycommand arg1 arg2")
|
||||
print(f"\n=== Custom Command ===\n{result.get('message', '')}")
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Claude Code CLI Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Codex CLI Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Cursor CLI Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
External Agents Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Gemini CLI Integration Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
CSV Processing with PraisonAI Agents
|
||||
|
||||
@@ -86,7 +85,7 @@ def method_1_simple_loop():
|
||||
agents=[loop_agent],
|
||||
tasks=[loop_task],
|
||||
process="workflow",
|
||||
execution="balanced" # max_iter=10 preset to prevent infinite loops
|
||||
max_iter=10 # Maximum iterations to prevent infinite loops
|
||||
)
|
||||
|
||||
print(f"🚀 Starting loop processing of {csv_file}")
|
||||
|
||||
@@ -10,18 +10,6 @@ import os
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents.knowledge import Knowledge
|
||||
|
||||
|
||||
def _result_items(results):
|
||||
items = results.results if hasattr(results, "results") else results
|
||||
return list(items)[:3]
|
||||
|
||||
|
||||
def _result_text(result):
|
||||
if isinstance(result, dict):
|
||||
return result.get("memory", result.get("text", str(result)))
|
||||
return getattr(result, "text", None) or getattr(result, "memory", None) or str(result)
|
||||
|
||||
|
||||
def main():
|
||||
"""
|
||||
Demonstrates knowledge search with and without reranking.
|
||||
@@ -94,9 +82,9 @@ def main():
|
||||
basic_results = basic_knowledge.search(query, rerank=False)
|
||||
print(f"Query: {query}")
|
||||
print(f"Results (limit=3):")
|
||||
for i, result in enumerate(_result_items(basic_results)):
|
||||
text = _result_text(result)
|
||||
score = result.get('score', 'N/A') if isinstance(result, dict) else getattr(result, 'score', 'N/A')
|
||||
for i, result in enumerate(basic_results[:3]):
|
||||
text = result.get('memory', result.get('text', str(result)))
|
||||
score = result.get('score', 'N/A')
|
||||
print(f" {i+1}. Score: {score}")
|
||||
print(f" Text: {text[:100]}...")
|
||||
print()
|
||||
@@ -106,9 +94,9 @@ def main():
|
||||
rerank_results = basic_knowledge.search(query, rerank=True)
|
||||
print(f"Query: {query}")
|
||||
print(f"Results (limit=3):")
|
||||
for i, result in enumerate(_result_items(rerank_results)):
|
||||
text = _result_text(result)
|
||||
score = result.get('score', 'N/A') if isinstance(result, dict) else getattr(result, 'score', 'N/A')
|
||||
for i, result in enumerate(rerank_results[:3]):
|
||||
text = result.get('memory', result.get('text', str(result)))
|
||||
score = result.get('score', 'N/A')
|
||||
print(f" {i+1}. Score: {score}")
|
||||
print(f" Text: {text[:100]}...")
|
||||
print()
|
||||
@@ -118,9 +106,9 @@ def main():
|
||||
default_results = rerank_knowledge.search(query) # Will use default_rerank=True
|
||||
print(f"Query: {query}")
|
||||
print(f"Results (limit=3):")
|
||||
for i, result in enumerate(_result_items(default_results)):
|
||||
text = _result_text(result)
|
||||
score = result.get('score', 'N/A') if isinstance(result, dict) else getattr(result, 'score', 'N/A')
|
||||
for i, result in enumerate(default_results[:3]):
|
||||
text = result.get('memory', result.get('text', str(result)))
|
||||
score = result.get('score', 'N/A')
|
||||
print(f" {i+1}. Score: {score}")
|
||||
print(f" Text: {text[:100]}...")
|
||||
print()
|
||||
@@ -137,9 +125,9 @@ def main():
|
||||
)
|
||||
print(f"Query: {query}")
|
||||
print(f"Advanced results with keyword_search=True, filter_memories=True:")
|
||||
for i, result in enumerate(_result_items(advanced_results)):
|
||||
text = _result_text(result)
|
||||
score = result.get('score', 'N/A') if isinstance(result, dict) else getattr(result, 'score', 'N/A')
|
||||
for i, result in enumerate(advanced_results[:3]):
|
||||
text = result.get('memory', result.get('text', str(result)))
|
||||
score = result.get('score', 'N/A')
|
||||
print(f" {i+1}. Score: {score}")
|
||||
print(f" Text: {text[:100]}...")
|
||||
print()
|
||||
@@ -150,7 +138,7 @@ def main():
|
||||
agent = Agent(
|
||||
name="AI Research Assistant",
|
||||
instructions="You are an AI research assistant. Use your knowledge base to answer questions about artificial intelligence topics.",
|
||||
knowledge={"sources": sample_documents, "rerank": True},
|
||||
knowledge={**rerank_config, "sources": sample_documents},
|
||||
llm="gpt-4o-mini"
|
||||
)
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Reasoning Extraction Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
from praisonaiagents import Agent, Task, AgentTeam
|
||||
|
||||
agent = Agent(
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Routing Patterns Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Self-Reflection Details Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Simple CSV URL Processor
|
||||
|
||||
@@ -64,7 +63,7 @@ def main():
|
||||
agents=[url_agent],
|
||||
tasks=[url_task],
|
||||
process="workflow",
|
||||
execution="balanced" # max_iter=10 preset; adjust for more URLs
|
||||
max_iter=10 # Adjust based on how many URLs you have
|
||||
)
|
||||
|
||||
print(f"🚀 Processing URLs from {csv_file}")
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Example: Using Latency Tracking Tool with PraisonAI
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
MCP Server with Latency Tracking Example
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Minimal Example: Latency Tracking for MCP Server
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
# praisonai: skip=true
|
||||
"""
|
||||
Model Failover Example - Automatic Provider Switching
|
||||
|
||||
@@ -44,8 +43,9 @@ failover_config = FailoverConfig(
|
||||
retry_delay=1.0,
|
||||
exponential_backoff=True,
|
||||
max_retry_delay=60.0,
|
||||
cooldown_on_rate_limit=60.0,
|
||||
cooldown_on_error=30.0,
|
||||
failover_on_rate_limit=True,
|
||||
failover_on_timeout=True,
|
||||
failover_on_error=True,
|
||||
)
|
||||
|
||||
# Create failover manager
|
||||
@@ -62,11 +62,11 @@ def demonstrate_failover():
|
||||
|
||||
# Get current status
|
||||
status = manager.status()
|
||||
for profile_info in status.get("profiles", []):
|
||||
print(f" {profile_info.get('name', 'unknown')}:")
|
||||
print(f" Status: {profile_info.get('status', 'unknown')}")
|
||||
print(f" Priority: {profile_info.get('priority', 'N/A')}")
|
||||
print(f" Failures: {profile_info.get('failure_count', 0)}")
|
||||
for name, info in status.items():
|
||||
print(f" {name}:")
|
||||
print(f" Status: {info.get('status', 'unknown')}")
|
||||
print(f" Priority: {info.get('priority', 'N/A')}")
|
||||
print(f" Failures: {info.get('failure_count', 0)}")
|
||||
print()
|
||||
|
||||
# Get next available profile
|
||||
@@ -163,7 +163,7 @@ if __name__ == "__main__":
|
||||
print(f" {profile.name}:")
|
||||
print(f" Provider: {profile.provider}")
|
||||
print(f" Priority: {profile.priority}")
|
||||
print(f" Rate limit: {profile.rate_limit_rpm} req/min")
|
||||
print(f" Rate limit: {profile.rate_limit} req/min")
|
||||
print()
|
||||
|
||||
demonstrate_failover()
|
||||
|
||||
@@ -7,8 +7,7 @@ multiple agents and managing real-time communication.
|
||||
|
||||
from praisonaiagents import Agent, GatewayConfig, SessionConfig
|
||||
|
||||
# Configure the gateway using the typed SDK GatewayConfig.
|
||||
# In gateway.yaml, the optional ``gateway:`` block is validated at load time (#3050).
|
||||
# Configure the gateway
|
||||
gateway_config = GatewayConfig(
|
||||
host="127.0.0.1",
|
||||
port=8765,
|
||||
|
||||
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Reference in new issue
Block a user