Public recordGood
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-25 06:59 UTC
MagnivOrg / prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
MagnivOrg/prompt-layer-library holds a health index of 79 out of 100, placing it in the Good band. It scores highest on Engineering Quality (90/100) and lowest on AI Readiness (56/100). It was last updated 2 days ago. 2 contributors account for most of its recent work.
79
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
79
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
PromptLayerOrganization
79 followers25 public repossince Dec 2021
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | promptlayer | 1.5.1 | 482,214 | 190 | 2 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
87
Development activity
86Excellent
How it's scored
| 36/36 | Push recency — last push 2 days ago |
| 22.2/36 | Commit cadence — 32/52 weeks with commits |
| 18/18 | Commit volume — 103 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 103 |
| human_commit_share | 0.94 |
| days_since_last_push | 2 |
| active_weeks_last_year | 32 |
Release discipline
88Excellent
How it's scored
| 16.2/27 | Ships releases — 24 version tags (no GitHub releases) |
| 36/36 | Release recency — latest release 2 days ago |
| 27/27 | Release cadence — a release every ~11.7 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 24 |
| latest_release_tag | v1.5.1 |
| releases_from_tags | yes |
| days_since_latest_release | 2 |
| mean_days_between_releases | 11.7 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
68
Popularity & adoption
67Moderate
How it's scored
| 46.9/60 | Stars — 780 stars |
| 16.3/25 | Forks — 92 forks |
| 3.9/15 | Watchers — 6 watchers |
Inputs used
| forks | 92 |
| stars | 780 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
95Excellent
How it's scored
| 75.8/80 | Monthly downloads — 482,214 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | promptlayer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 482,214 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
76
Maintainer resilience (bus factor)
61Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 12.7/22.5 | Commit distribution — top contributor authored 44% of commits |
| 13.5/13.5 | Contributor breadth — 25 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0.437 |
Issue & PR responsiveness
86Excellent
How it's scored
| 39.5/46.8 | Issue resolution — 84% of issues closed |
| 31.3/38.3 | PR acceptance — 184/225 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 184 |
| open_issues | 15 |
| closed_issues | 81 |
| issue_closed_ratio | 0.844 |
| closed_unmerged_prs | 41 |
Ownership & stewardship
63Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 13.7/25 | Owner reach — 79 followers of MagnivOrg |
| 19.5/25 | Track record — 25 public repos, account ~4 yr old |
Inputs used
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MagnivOrg |
| public_repos | 25 |
| account_age_days | 1,676 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 2 days ago |
| 20/20 | Version history — 190 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | promptlayer |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
Engineering Quality
Are baseline engineering and documentation practices in place?
90
Engineering practices
100Excellent
How it's scored
| 24/24 | CI workflows — 3 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | yes |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
75Good
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.promptlayer.com |
| 10/10 | Repository description |
| 10/10 | Topics — 6 topics |
| 10/10 | Wiki |
Inputs used
| topics | gpt, machine-learning, openai, prompt, prompt-engineering, python |
| has_wiki | yes |
| homepage | https://www.promptlayer.com |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
69
Security posture
61Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6.1 |
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 37 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:promptlayer@1.5.1 runtime dependency closure — what installing the published package pulls in — 37 packages. Reachability is not analyzed.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
56
Agent context & guidance
36At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 36.3/40 | Legible commit history — 64 of 94 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.681 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — devcontainer, lockfile |
| 10/10 | Demonstrated agent practice — 12 of the last 100 commits agent-authored or agent-credited |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | poetry.lock, uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | yes |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0.12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
54Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54/55 | Manageable file sizes — 2/114 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 98,660 |
| source_files_sampled | 114 |
| oversized_source_files | 2 |
Key facts
780GitHub stars
25contributors
103commits, last 12 months
2days since last push
24releases
2bus factor
15open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
More detail
Star and fork history 0 ★ / 92 ⇿
0Stars
92Forks
21Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 0Minor 4Patch 17
Each point covers 4 days.
OpenSSF Scorecard 6.1 / 10
6.1aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
Direct dependencies 15
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | opentelemetry-api | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-sdk | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | ^1.26.0 | pyproject.toml |
| PyPI | aiohttp | ^3.10.10 | pyproject.toml |
| PyPI | httpx | ^0.28.1 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | centrifuge-python | ^0.4.1 | pyproject.toml |
| PyPI | tenacity | ^9.1.2 | pyproject.toml |
| PyPI | cachetools | ^5.0.0 | pyproject.toml |
| PyPI | openai-agents | ^0.3.3 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.1.45,<1.0.0 | pyproject.toml |
| PyPI | eval-type-backport | ^0.3.1 | pyproject.toml |
| PyPI | jinja2 | ^3.1.6 | pyproject.toml |
| PyPI | rich | >=13.0.0 | pyproject.toml |
All dependencies 108
Full resolved dependency set from the GitHub dependency graph: 14 direct and 94 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | aiohttp | 3.10.10 | direct |
| PyPI | cachetools | 5.5.2 | direct |
| PyPI | centrifuge-python | 0.4.1 | direct |
| PyPI | claude-agent-sdk | 0.1.49 | direct |
| PyPI | eval-type-backport | 0.3.1 | direct |
| PyPI | httpx | 0.28.1 | direct |
| PyPI | jinja2 | 3.1.6 | direct |
| PyPI | nest-asyncio | 1.6.0 | direct |
| PyPI | openai-agents | 0.3.3 | direct |
| PyPI | opentelemetry-api | 1.26.0 | direct |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.26.0 | direct |
| PyPI | opentelemetry-sdk | 1.26.0 | direct |
| PyPI | requests | 2.31.0 | direct |
| PyPI | tenacity | 9.1.2 | direct |
| PyPI | ably | 2.1.1 | indirect |
| PyPI | aioboto3 | 13.4.0 | indirect |
| PyPI | aiobotocore | 2.18.0 | indirect |
| PyPI | aiofiles | 24.1.0 | indirect |
| PyPI | aiohappyeyeballs | 2.4.3 | indirect |
| PyPI | aioitertools | 0.12.0 | indirect |
| PyPI | aiosignal | 1.3.1 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anthropic | 0.84.0 | indirect |
| PyPI | anyio | 4.8.0 | indirect |
| PyPI | async-timeout | 4.0.3 | indirect |
| PyPI | attrs | 23.2.0 | indirect |
| PyPI | boto3 | 1.36.1 | indirect |
| PyPI | botocore | 1.36.1 | indirect |
| PyPI | certifi | 2024.2.2 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.3.2 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | cryptography | 46.0.5 | indirect |
| PyPI | deprecated | 1.2.14 | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | docstring-parser | 0.17.0 | indirect |
| PyPI | exceptiongroup | 1.2.1 | indirect |
| PyPI | frozenlist | 1.4.1 | indirect |
| PyPI | google-auth | 2.38.0 | indirect |
| PyPI | google-genai | 1.46.0 | indirect |
| PyPI | googleapis-common-protos | 1.73.0 | indirect |
| PyPI | griffe | 1.14.0 | indirect |
| PyPI | h11 | 0.14.0 | indirect |
| PyPI | h2 | 4.1.0 | indirect |
| PyPI | hpack | 4.0.0 | indirect |
| PyPI | httpcore | 1.0.5 | indirect |
| PyPI | httpx-sse | 0.4.3 | indirect |
| PyPI | hyperframe | 6.0.1 | indirect |
| PyPI | idna | 3.7 | indirect |
| PyPI | importlib-metadata | 8.0.0 | indirect |
| PyPI | iniconfig | 2.0.0 | indirect |
| PyPI | jiter | 0.8.2 | indirect |
| PyPI | jmespath | 1.0.1 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | mcp | 1.26.0 | indirect |
| PyPI | methoddispatch | 3.0.2 | indirect |
| PyPI | msgpack | 1.1.0 | indirect |
| PyPI | multidict | 6.0.5 | indirect |
| PyPI | openai | 1.109.1 | indirect |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.26.0 | indirect |
| PyPI | opentelemetry-processor-baggage | 0.61b0 | indirect |
| PyPI | opentelemetry-proto | 1.26.0 | indirect |
| PyPI | opentelemetry-semantic-conventions | 0.47b0 | indirect |
| PyPI | packaging | 24.0 | indirect |
| PyPI | pluggy | 1.5.0 | indirect |
| PyPI | propcache | 0.2.0 | indirect |
| PyPI | protobuf | 4.25.8 | indirect |
| PyPI | pyasn1 | 0.6.1 | indirect |
| PyPI | pyasn1-modules | 0.4.1 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic | 2.11.7 | indirect |
| PyPI | pydantic-core | 2.33.2 | indirect |
| PyPI | pydantic-settings | 2.10.1 | indirect |
| PyPI | pyee | 11.1.1 | indirect |
| PyPI | pyjwt | 2.12.1 | indirect |
| PyPI | pytest | 8.2.0 | indirect |
| PyPI | pytest-asyncio | 0.23.6 | indirect |
| PyPI | pytest-network | 0.0.1 | indirect |
| PyPI | pytest-parametrize-cases | 0.1.2 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-dotenv | 1.1.1 | indirect |
| PyPI | python-multipart | 0.0.22 | indirect |
| PyPI | pywin32 | 311 | indirect |
| PyPI | pyyaml | 6.0.2 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | rsa | 4.9 | indirect |
| PyPI | s3transfer | 0.11.3 | indirect |
| PyPI | six | 1.16.0 | indirect |
| PyPI | sniffio | 1.3.1 | indirect |
| PyPI | sse-starlette | 3.3.2 | indirect |
| PyPI | starlette | 0.52.1 | indirect |
| PyPI | tomli | 2.0.1 | indirect |
| PyPI | tqdm | 4.66.4 | indirect |
| PyPI | types-requests | 2.31.0.6 | indirect |
| PyPI | types-urllib3 | 1.26.25.14 | indirect |
| PyPI | typing-extensions | 4.14.0 | indirect |
| PyPI | typing-inspection | 0.4.1 | indirect |
| PyPI | urllib3 | 1.26.20 | indirect |
| PyPI | uvicorn | 0.42.0 | indirect |
| PyPI | vcrpy | 6.0.2 | indirect |
| PyPI | websockets | 15.0.1 | indirect |
| PyPI | wrapt | 1.16.0 | indirect |
| PyPI | yarl | 1.15.2 | indirect |
| PyPI | zipp | 3.19.2 | indirect |
Dependency advisories 0
Installing pypi:promptlayer@1.5.1 pulls in 37 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.
No known advisories affect the assessed dependencies.
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"gpt",
"machine-learning",
"openai",
"prompt",
"prompt-engineering",
"python"
],
"is_fork": false,
"size_kb": 1261,
"has_wiki": true,
"homepage": "https://www.promptlayer.com",
"languages": {
"Python": 1047442,
"Makefile": 437
},
"pushed_at": "2026-07-22T20:08:24Z",
"created_at": "2022-12-23T21:18:26Z",
"owner_type": "Organization",
"updated_at": "2026-07-24T01:52:46Z",
"description": "🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "master",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://promptlayer.com/",
"name": "PromptLayer",
"type": "Organization",
"login": "MagnivOrg",
"company": null,
"location": null,
"followers": 79,
"avatar_url": "https://avatars.githubusercontent.com/u/96498099?v=4",
"created_at": "2021-12-21T20:01:53Z",
"is_verified": null,
"public_repos": 25,
"account_age_days": 1676
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v1.5.1",
"kind": "patch",
"published_at": "2026-07-22T20:02:43Z"
},
{
"tag": "v1.5.0",
"kind": "minor",
"published_at": "2026-07-22T19:31:06Z"
},
{
"tag": "v1.4.7",
"kind": "patch",
"published_at": "2026-07-21T19:44:11Z"
},
{
"tag": "v1.4.6",
"kind": "patch",
"published_at": "2026-06-01T15:04:37Z"
},
{
"tag": "v1.4.5",
"kind": "patch",
"published_at": "2026-05-20T22:12:18Z"
},
{
"tag": "v1.4.4",
"kind": "patch",
"published_at": "2026-05-11T23:17:19Z"
},
{
"tag": "v1.4.3",
"kind": "patch",
"published_at": "2026-04-27T16:07:08Z"
},
{
"tag": "v1.4.2",
"kind": "patch",
"published_at": "2026-04-17T15:19:33Z"
},
{
"tag": "v1.4.1",
"kind": "patch",
"published_at": "2026-04-13T14:28:38Z"
},
{
"tag": "v1.4.0",
"kind": "minor",
"published_at": "2026-04-08T15:57:52Z"
},
{
"tag": "v1.3.0",
"kind": "minor",
"published_at": "2026-04-01T15:32:53Z"
},
{
"tag": "v1.2.4",
"kind": "patch",
"published_at": "2026-03-23T21:19:17Z"
},
{
"tag": "v1.2.3",
"kind": "patch",
"published_at": "2026-03-23T21:10:12Z"
},
{
"tag": "v1.2.2",
"kind": "patch",
"published_at": "2026-03-19T22:37:45Z"
},
{
"tag": "v1.2.1",
"kind": "patch",
"published_at": "2026-03-19T21:58:29Z"
},
{
"tag": "v1.2.0",
"kind": "minor",
"published_at": "2026-03-19T13:08:08Z"
},
{
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{
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"body": null,
"is_bot": false,
"headline": "Bump version to 1.2.2 (#306)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:37:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d32a08f9cf4e65c9bf926ba398f6090ff6cacfab",
"body": "## Summary\n- Vendor latest `promptlayer-claude-plugins`\n(MagnivOrg/promptlayer-claude-plugins#6)\n- Renames `$end` → `$end_time` jq variable in `build_span_json` — `$end`\nis reserved in jq 1.6 (Debian bookworm), causing spans to silently fail\n- Bump version to 1.2.1 (`pyproject.toml` + `__init__.py`)\n[…]\nenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix jq 1.6 compat in vendored Claude plugin, bump to 1.2.1 (#305)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:29:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "9ecb445bf89d938e5bf410fb3103cb3240c3f9f6",
"body": "Fix async stream crash: move stream check before model_dump",
"is_bot": false,
"headline": "Merge pull request #304 from MagnivOrg/fix/async-stream-model-dump",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:58:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71409ad0185d3b7f117fd4bb4e763d3bbf1dd1af",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump __version__ in __init__.py to 1.2.1",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:48Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "4748c1f52ea92f47eee06d74499c4f1715803c50",
"body": "In AsyncPromptLayer._run_internal, response.model_dump() was called\nbefore checking if stream=True. When streaming, the LLM returns an\nAsyncStream object which may not have model_dump, causing:\n AttributeError: 'AsyncStream' object has no attribute 'model_dump'\n\nThe sync version already had the cor\n[…]\n match: check stream first, return early with the raw\nstream, and only serialize for non-stream responses.\n\nBump version to 1.2.1.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix async stream crash: move stream check before model_dump (#304)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:06Z",
"body_truncated": true,
"is_coding_agent": true
},
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"oid": "3648d01ba5651cebec7d7208612cc854fcc84ede",
"body": "## Summary\n- add a new `promptlayer.integrations.claude_agents` integration with\n`get_claude_config()` and typed config objects\n- vendor the PromptLayer Claude plugin into the package and add a\nmaintainer vendoring script plus Make target\n- add packaging/test coverage for the optional `claude-agents\n[…]\n of `get_claude_config()`\n- Verified E2E locally\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Claude Agents integration (#303)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T13:08:08Z",
"body_truncated": true,
"is_coding_agent": true
},
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"oid": "c5dccaeb6ef4cebad02866a5f095bff109860016",
"body": "## Summary\n\nAdd OpenAI Agents tracing support by translating Agents traces into OTLP\nspans for PromptLayer ingestion.\n\n## What changed\n\n- add `promptlayer.integrations.openai_agents`\n- implement an OpenAI Agents `TracingProcessor` that:\n - creates a synthetic root span per Agents trace\n - maps Age\n[…]\nbulk` tracing path unchanged\n- bump the package version to `1.1.1`\n- Updated `ruff` and `readme` to support `3.9+`\n\n## Validation\n\n- `ruff format .`\n- `ruff check .`\n- `pytest -q`\n\nResult: `93 passed`",
"is_bot": false,
"headline": "Add OpenAI Agents OTLP tracing integration (#302)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-17T16:38:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d3b5f9f9f0bc3156ad81d9dbe9e9d7495dc7b367",
"body": "…blueprint\n\nAdd streaming blueprint support for built-in tools across multiple providers (Google, Anthropic, OpenAI)",
"is_bot": false,
"headline": "Merge pull request #301 from MagnivOrg/usama/builtin-tools-streaming-…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T21:44:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fb380481608117a114f273f3fa6e7cc2a23fc64",
"body": null,
"is_bot": false,
"headline": "fix: Bumped SDK version and resolved feedback",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T20:53:07Z",
"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "fix: Resolve PR feedback and comments",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T19:28:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93330c994cd23fd670a0e0e662212c7f13ddb6dc",
"body": null,
"is_bot": false,
"headline": "fix: Fix pre-commit formatting issues",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:11:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ac62fe64039e096d7d774c03d4040c029f623e1",
"body": null,
"is_bot": false,
"headline": "fix: Linter formatting fix",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d35cec528832dd5a443be253061eebfbb42c2c14",
"body": "…ple providers (Google, Anthropic, OpenAI)\n\n - Map OpenAI Responses API tools: shell, apply-patch, MCP, image generation, code interpreter, web search\n - Map Anthropic tools: web search with citations, bash, text editor\n - Map Google tools: code execution, image output, URL context, file search, Maps search\n - Add OpenAI Images API streaming support\n - Add type definitions for all new content types\n - Provider metadata only includes fields actually present in the raw response",
"is_bot": false,
"headline": "feat: Add streaming blueprint support for built-in tools across multi…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T16:56:01Z",
"body_truncated": false,
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{
"oid": "aef13166e40bbca5d475363f5dae0450634b2e89",
"body": "## Summary\n- When fetching a prompt template (via `TemplateManager.get()` or\n`AsyncTemplateManager.get()`), automatically set `promptlayer.prompt.*`\nattributes as baggage on the OpenTelemetry span\n- Attributes include `name`, `id`, `version`, and `label`\n- This enables OTLP-based trace exporters to \n[…]\ntribute\ninjection, no-op on non-recording spans, and missing fields\n\n## Test plan\n- [x] Unit tests for `set_prompt_span_attributes` (4 tests, all passing)\n- [x] Full test suite passes (no regressions)",
"is_bot": false,
"headline": "feat: inject prompt template attributes onto OTEL spans (#300)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-05T15:34:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "fb5635bdfbeed4b967419693454a205d0fe077bd",
"body": "## Summary\n\nWhen `.run()` throws on an LLM call, the SDK now catches the exception,\nlogs it to PromptLayer with `status=ERROR`, `error_type`, and\n`error_message`, then re-raises. Also adds these fields to\n`log_request()` for manual callers. Error categorization is duck-typed —\nno provider imports in\n[…]\n Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Log failed LLM calls to PromptLayer before re-raising (#296)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-02-24T15:27:14Z",
"body_truncated": true,
"is_coding_agent": true
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{
"oid": "c9ecfe6a5113c7566c75f286951fc5eeb88a21e4",
"body": "- Added tests for workflow timeout\n- Version bump",
"is_bot": false,
"headline": "Added test for workflow-timeout (#293)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2026-02-23T22:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1dd278f2f415ff03072e34a93615ae35df8aa57c",
"body": "I need to be able to add a timeout for my workflow execution. I think\nthat it is a good idea to provide this feature in the library.\n\nThe PR Introduces an optional `timeout` parameter for workflow\nexecution, allowing operations to exit if they exceed the specified time\nlimit. Updated both synchronou\n[…]\nexecution paths to\nhandle timeouts using `asyncio.wait_for`.\nThe API change is backward compatible, if no timeout is specified the\nbehavior is unchanged.\n\nCo-authored-by: Rémi Pradal <rpradal@ekie.co>",
"is_bot": false,
"headline": "feat: Add support for timeout in workflow execution (#286)",
"author_name": "Rémi Pradal",
"author_login": "rpradal",
"committed_at": "2026-02-09T14:08:56Z",
"body_truncated": true,
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"oid": "3203b5d376dde4506b9da87c2c5374298e16fca4",
"body": "Co-authored-by: d3vv3r <ananalabinfowayne@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Claude/slack add tests url encode q zuzo (#291)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-21T15:29:49Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "c58f9911184dbb704343d3820d42d1f915767662",
"body": "Cache LLM clients to prevent connection pool exhaustion",
"is_bot": false,
"headline": "Merge pull request #289 from MagnivOrg/cache-llm-clients",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T16:04:50Z",
"body_truncated": false,
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"oid": "ab3c25a487788a2eed682034c04feef339efbb64",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update poetry.lock with cachetools",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:52:09Z",
"body_truncated": false,
"is_coding_agent": true
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"oid": "9f4daa34e6fd70d0358439904e579ac3fae7ab4c",
"body": "Switch from unbounded dict to cachetools.LRUCache with maxsize=100\nto prevent memory growth in long-running systems.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use LRUCache for bounded client caching",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:50:29Z",
"body_truncated": false,
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"oid": "b1b765cbce5f91fa9d5e18986ec86222808c3965",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 1.0.81",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:53:02Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "836dacbc0013d2bdbf69ce30d4c68e1ff88536a6",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:32Z",
"body_truncated": false,
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{
"oid": "16a95817c85ca038debfa4ca0e1cb45dd4f8b737",
"body": "This reverts commit 157d4c382bba5ed230e404c0b183b72c5fb5de1a.",
"is_bot": false,
"headline": "Revert \"Cache LLM clients to prevent connection pool exhaustion\"",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:19Z",
"body_truncated": false,
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{
"oid": "157d4c382bba5ed230e404c0b183b72c5fb5de1a",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:50:28Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "330fb36da743503c94b00324b215fe0bb9ae73a2",
"body": "Use shared requests.Session for connection pooling and retry on conne…",
"is_bot": false,
"headline": "Merge pull request #288 from MagnivOrg/fix/retry-on-connection-errors",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:57:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "690139c11a46fa2c29dd9408f0cb30d35403c86f",
"body": "…on errors, and add SDK headers\n\nChanges:\n1. Added thread-safe module-level requests.Session via _get_requests_session()\n with double-checked locking pattern for safe concurrent initialization\n\n2. Configured HTTPAdapter with configurable pool size (default 100) via env vars:\n - PROMPTLAYER_POOL_\n[…]\nonPool Max retries exceeded\" errors with\n\"NewConnectionError: No route to host\" when making many concurrent requests.\n\nBumps version to 1.0.80.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use shared requests.Session for connection pooling, retry on connecti…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:53:09Z",
"body_truncated": true,
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{
"oid": "d524ef74b052d83c9f2001666570618501fe351b",
"body": null,
"is_bot": false,
"headline": "Fixed log request for responses api (#284)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-23T22:27:23Z",
"body_truncated": false,
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},
{
"oid": "909626288c4ff05de5ea7b1030744d78062e2fc2",
"body": null,
"is_bot": false,
"headline": "Added openai code-interpreter tool (#283)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-01T15:53:08Z",
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{
"oid": "01a77fd15864d42100b74295b8d31d86e4a56b6b",
"body": null,
"is_bot": false,
"headline": "Fixed escape symbols (#282)",
"author_name": "Pavel Kononov",
"author_login": "super-jaba",
"committed_at": "2025-11-24T23:35:47Z",
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{
"oid": "9b6a1c70dd9f207646bb2cf96b8ca5ff0c9536de",
"body": "Incorrect Latency",
"is_bot": false,
"headline": "Merge pull request #281 from MagnivOrg/fix-latency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:55:37Z",
"body_truncated": false,
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{
"oid": "11b09f58704a1be94e55697df75c192fca923633",
"body": null,
"is_bot": false,
"headline": "fixing tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:54:30Z",
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"body": null,
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"headline": "tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:49:29Z",
"body_truncated": false,
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"oid": "3c09b7dc6a743b2988312b6fece024825233e646",
"body": null,
"is_bot": false,
"headline": "Incorrect Latency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:36:40Z",
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{
"oid": "6ae913ebcf98b39e0c9a90d35c1d3dc85e389a91",
"body": null,
"is_bot": false,
"headline": "Additional fix for api (#279)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2025-11-14T21:03:05Z",
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{
"oid": "770908d7afdb99f9a904091b292286d5e7684f53",
"body": null,
"is_bot": false,
"headline": "fix api fallback (#278)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2025-11-14T20:48:30Z",
"body_truncated": false,
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},
{
"oid": "71a8730ee10c418b88556afa6baf3bec48b7c55a",
"body": "* Improved error handling and added retry mechanism\n\n* Prefexed promptlayer exceptions",
"is_bot": false,
"headline": "LAC-651: Improved error handling and added retry mechanism (#275)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-10-27T11:40:10Z",
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"oid": "c6d439b771d478ab38fdc8fcc65bdf1c85efc706",
"body": "…274)",
"is_bot": false,
"headline": "Refactor PromptLayer API integration to include base URL parameter (#…",
"author_name": "AbuBakar Sohail",
"author_login": "abubakarsohail",
"committed_at": "2025-10-23T11:19:52Z",
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{
"oid": "d918d323943f69bd2faaee1384b027ab9c49098c",
"body": null,
"is_bot": false,
"headline": "Fixed google genai multi-input part (#273)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-10-20T12:47:49Z",
"body_truncated": false,
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},
{
"oid": "b9705e7c65d4807485cd985cc4cf2bd2f7216edb",
"body": "consistency",
"is_bot": false,
"headline": "Merge pull request #272 from MagnivOrg/consistency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-10-16T10:27:59Z",
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"oid": "30cae2e23e9c4a6ede2e8b62c20c93857d30820e",
"body": null,
"is_bot": false,
"headline": "consistency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-10-16T10:19:40Z",
"body_truncated": false,
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{
"oid": "62ba92c826bb91a76a89fdecb91bd03aa3c19c37",
"body": "adding release label",
"is_bot": false,
"headline": "Merge pull request #271 from MagnivOrg/adding-release-labels-to-all",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-10-15T21:16:47Z",
"body_truncated": false,
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{
"oid": "bf4e97f84e6b152ce21b881ad883367255983c9d",
"body": null,
"is_bot": false,
"headline": "adding release label",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-10-15T21:14:04Z",
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},
{
"oid": "4c15bac106f6fe3434f297b41753310c17f3ac51",
"body": null,
"is_bot": false,
"headline": "Added support for responses API (#269)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-09-12T02:18:43Z",
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{
"oid": "9e5cf9d380f1776903c126bfbfb1d5f3d37233ec",
"body": null,
"is_bot": false,
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"name": "Forks",
"detail": "92 forks",
"points": 16.3,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 92
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "6 watchers",
"points": 3.9,
"status": "partial",
"details": [
{
"code": "watchers",
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"count": 6
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
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},
{
"key": "license",
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"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
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},
{
"code": "license_spdx",
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}
],
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{
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},
{
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},
{
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{
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]
},
{
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"notes": [
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],
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"components": [
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"points": 75.8,
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"code": "downloads_monthly",
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"count": 482214,
"ecosystems": "pypi"
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}
],
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{
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"points": 0,
"status": "excluded",
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"code": "not_reported_by_this_ecosystem",
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}
],
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]
}
],
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},
{
"key": "governance",
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"name": "Sustainability & Governance",
"value": 76,
"weight": 0.24,
"metrics": [
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"key": "maintainer_resilience",
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"note": null,
"notes": [],
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"components": [
{
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"code": "bus_factor",
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}
],
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{
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"code": "top_contributor_share",
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}
],
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{
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],
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{
"key": "openssf_scorecard_contributors",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
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"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 86,
"inputs": {
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"open_issues": 15,
"closed_issues": 81,
"issue_closed_ratio": 0.844,
"closed_unmerged_prs": 41
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"components": [
{
"key": "issue_resolution",
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"points": 39.5,
"status": "partial",
"details": [
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"code": "issues_closed_share",
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"share": 84
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
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"detail": "184/225 decided PRs merged",
"points": 31.3,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 184,
"decided": 225
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}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
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"points": 15,
"status": "met",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
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"name": "Ownership & stewardship",
"note": null,
"notes": [],
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"inputs": {
"followers": 79,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "MagnivOrg",
"public_repos": 25,
"account_age_days": 1676
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
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}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "owner_reach",
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"detail": "79 followers of MagnivOrg",
"points": 13.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 79,
"login": "MagnivOrg"
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}
],
"max_points": 25
},
{
"key": "track_record",
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"points": 19.5,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 25
}
},
{
"code": "account_age_years",
"params": {
"years": 4
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}
],
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 2
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"components": [
{
"key": "published_resolvable",
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"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
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"detail": "latest publish 2 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 2
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "190 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 190
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
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"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 90,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"has_tests": true,
"has_editorconfig": true,
"has_linter_config": true,
"has_precommit_config": true
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"components": [
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"key": "ci_workflows",
"name": "CI workflows",
"detail": "3 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 3
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}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
"status": "met",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
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"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 6.4,
"status": "met",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
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"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "good",
"name": "Documentation",
"note": null,
"notes": [],
"value": 75,
"inputs": {
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"machine-learning",
"openai",
"prompt",
"prompt-engineering",
"python"
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"has_wiki": true,
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"has_readme": true,
"has_docs_dir": false,
"has_description": true
},
"components": [
{
"key": "readme",
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"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
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"details": [],
"max_points": 15
},
{
"key": "repository_description",
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"points": 10,
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"details": [],
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},
{
"key": "topics",
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"status": "met",
"details": [
{
"code": "topics_count",
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}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
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"name": "Security",
"value": 69,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 61,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 6.1
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"components": [
{
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"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection is not maximal on development and all release branches",
"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
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"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "code_review",
"name": "Code-Review",
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 4 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "77 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
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"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:promptlayer@1.5.1 runtime dependency closure — what installing the published package pulls in — 37 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
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}
},
{
"code": "advisories_reachability",
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}
],
"value": 100,
"inputs": {
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 37,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 37,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 56,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 36,
"inputs": {
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"legible_history_share": 0.681,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
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}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "64 of 94 human commits state their intent (structured subject or explanatory body)",
"points": 36.3,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
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"sampled": 94
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}
],
"max_points": 40
}
]
},
{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-25T06:59:07.453479Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MagnivOrg/prompt-layer-library.svg",
"full_name": "MagnivOrg/prompt-layer-library",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.