Metadata-Version: 2.5
Name: cognifity-verdict
Version: 0.1.0a13
Summary: Verdict — open-source LLM observability & drift detection SDK
Project-URL: Homepage, https://cognifity.ai/verdict
Project-URL: Documentation, https://github.com/cognifityai/verdict/tree/main/docs
Project-URL: Repository, https://github.com/cognifityai/verdict
Project-URL: Issues, https://github.com/cognifityai/verdict/issues
Author: Cognifity AI
License-Expression: Apache-2.0
License-File: LICENSE
License-File: NOTICE
Keywords: drift-detection,evaluation,llm,monitoring,observability
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Requires-Dist: fastapi>=0.116
Requires-Dist: uvicorn[standard]>=0.35
Requires-Dist: wrapt>=1.16
Provides-Extra: all
Requires-Dist: anthropic>=0.30; extra == 'all'
Requires-Dist: cognifity-verdict-eval==0.1.0a13; extra == 'all'
Requires-Dist: google-genai>=1.0; extra == 'all'
Requires-Dist: openai>=1.56.2; extra == 'all'
Requires-Dist: opentelemetry-proto<2,>=1.30; extra == 'all'
Requires-Dist: protobuf<7,>=5; extra == 'all'
Requires-Dist: psycopg[binary,pool]>=3.1; extra == 'all'
Provides-Extra: anthropic
Requires-Dist: anthropic>=0.30; extra == 'anthropic'
Provides-Extra: dashboard
Provides-Extra: dev
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest>=8; extra == 'dev'
Requires-Dist: ruff>=0.5; extra == 'dev'
Provides-Extra: eval
Requires-Dist: cognifity-verdict-eval==0.1.0a13; extra == 'eval'
Provides-Extra: google
Requires-Dist: google-genai>=1.0; extra == 'google'
Provides-Extra: openai
Requires-Dist: openai>=1.56.2; extra == 'openai'
Provides-Extra: postgres
Requires-Dist: psycopg[binary,pool]>=3.1; extra == 'postgres'
Provides-Extra: telemetry
Requires-Dist: opentelemetry-proto<2,>=1.30; extra == 'telemetry'
Requires-Dist: protobuf<7,>=5; extra == 'telemetry'
Description-Content-Type: text/markdown

# Verdict Python SDK

PyPI distribution: `cognifity-verdict`. Python import: `verdict`.

Install and start the loopback-only product UI:

```bash
python -m pip install cognifity-verdict
verdict
```

The initial setup page can approve and rescan local Claude Code/Codex histories,
import supported telemetry files, show the SDK snippet, or open an existing
store. Local histories are persisted as typed `AgentRun`/`AgentTurn`/
`AgentEvent` evidence; they are not converted into fake provider LLM traces.
Bounded redacted content retention is on by default; metadata-only capture is
an explicit SDK/programmatic override, not a shortcut in local setup. After capture, the same page becomes
**Data sources**, reports the configured local evidence source, and requires
fresh in-process path approval for manual edits or rescans. Agent Run and LLM
Trace totals remain visibly separate. The server requires a successful preview
of the exact local or historical paths before it accepts the corresponding
write. An explicitly saved daily schedule intentionally retains source paths in
the local control store for `verdict-service`; no OS scheduler is installed.

For automation, the equivalent commands are:

```bash
verdict-import local --storage sqlite:///./verdict.db
verdict-dashboard --storage sqlite:///./verdict.db
verdict-monitor run --storage sqlite:///./verdict.db
verdict-service --storage sqlite:///./verdict.db --once
```

The Monitor UI previews an immutable count-based (older 80% / newer 20% by
default) or explicit-date policy before activation. Each metric has its own
eligible denominator, Fisher's exact p-value, Benjamini-Hochberg adjustment,
and effect-size gate. Ongoing cohorts are prospective and non-overlapping;
late arrivals are counted and included in the next open cohort rather than
silently discarded. An activated policy starts with an empty prospective
bucket, and repeated looks use a summable quadratic alpha-spending rule.
`insufficient` and `reference_stale` are first-class results. `verdict-monitor`
is a one-shot idempotent runner. `verdict-service` executes the dashboard's
saved schedule once or continuously.

The dashboard reads key-free findings from immutable analysis snapshots rather
than recomputing them on every page load. It reports provider outcome,
evaluation status, finding severity, and drift comparison independently.
`not evaluated` and `judge error` are explicit Trace states, and a prospective monitor says
`collecting n/target` until a comparison can actually complete. One Drift
workspace contains Overview, Explore, Monitor, Signals, and Clusters.

The Verdict Python SDK. Auto-instruments your LLM calls via `wrapt` and
captures them into a vendor-neutral `Trace` schema (attribute *names* follow
the OpenTelemetry GenAI semantic conventions, but no OTel spans are emitted).
The same package also imports existing OTLP and vendor telemetry into that
unchanged schema with the `verdict-import` command.
Traces are written to SQLite by default (or any `Storage` adapter). Content
capture (prompts/completions) is **on by default** and can be disabled with
`capture_content=False`; captured content is run through built-in
pattern redaction, including common provider/API credentials, recursively
across supported JSON-compatible message and tool
structures before `Trace` assignment and again at storage. Card candidates use
Luhn validation; IPv6 candidates use standard-library address validation so
trailing text that is not part of the validated address remains outside it
while clock values such as `12:34:56` remain intact. Email candidates use a
linear `@`-anchored scanner so malformed or very long input cannot trigger
regex backtracking. Unsupported objects fail closed.
Traversal is bounded by node and character budgets, and cycles or repeated
container references fail closed at every occurrence so sanitized output never
retains caller-owned aliases. Redacted mapping-key collisions keep every value
under deterministic suffixed keys rather than overwriting one entry.
This is best-effort matching, not a compliance guarantee; explicitly disable
content capture when its documented coverage is insufficient.

Import existing telemetry without instrumenting the application:

```bash
pip install "cognifity-verdict[telemetry]==0.1.0a13"  # extra is for OTLP protobuf
verdict-import file traces.jsonl --format auto --storage sqlite:///./verdict.db
verdict-import receive-otlp --storage sqlite:///./verdict.db
```

Native readers cover Langfuse v2, LangSmith, Datadog LLM Observability,
Phoenix, Opik, MLflow files, and a text-only voice-conversation schema. The
importer stores every eligible LLM call; the existing evaluation pipeline later
samples stored traces for judging. It never stores a second raw vendor envelope
or imputes missing token, latency, cost, model, session, or content fields. See
the repository's `examples/telemetry/README.md` for exact source contracts and
privacy limits; ADR-006 records only the architectural boundary.

OTLP message objects may provide text in `content`, `text`, or typed text
`parts`. Verdict joins genuine text parts in order and ignores unsupported
tool-only parts rather than presenting them as an assistant response.

The Langfuse reader targets the supported v4 Observations API v2, not the
deprecated trace-list endpoint, so Verdict receives one record per actual
generation or embedding rather than a trace aggregate.

For a customer proof of concept, follow the versioned
[`0.1.0a13 POC release profile`](https://github.com/cognifityai/verdict/blob/v0.1.0a13/docs/POC_RELEASE_PROFILE.md).
It pins the package set, provider entry points, persistence mode, and privacy
boundary used for release verification.

Supported streams finalize after full consumption, iteration error, explicit
`close()` / `aclose()`, context exit, or async cancellation. Garbage collection
of a never-iterated unclosed stream is not a persistence guarantee. A supported
instrumented provider call made inside a manual span records the innermost
span's ID in `Trace.parent_span_id`. This is the sole automatic direction because
multiple provider traces may share one manual span; automatic capture never
chooses one reverse `SpanRecord.trace_id`. Manual-only work can bind to an
existing stored trace with
`trace_context(trace_id)` or `set_context(trace_id=...)`. An unknown explicit
trace ID is recorded as an unlinked span with a link-status attribute rather
than as an orphan; spans with no provider call or explicit context remain
standalone.

Provider SDK unset sentinels and other non-primitive numeric metadata are
normalized to unavailable (`None`) before a `Trace` reaches storage. A
synchronous telemetry persistence failure never replaces the provider call's
result or exception; Verdict emits one warning per provider, storage type, and
exception type instead of flooding application logs.

`sample_rate` controls the fraction of supported calls retained, and
`buffered_writes=True` moves persistence to a background batched writer. Stored
manual spans do not wait for provider acknowledgement or receive repair writes;
each ended span is persisted once independently of provider success. `flush()` is
a FIFO point-in-time barrier and accepts an optional timeout. `close()` rejects
new reads/writes, drains every accepted FIFO write, stops and joins the worker,
then closes the inner adapter; post-close `flush()` is an idempotent no-op.
The `0.1.0a13` POC profile uses `buffered_writes=False`. Buffered mode requires
an explicit `shutdown()` imported from `verdict.client` before process exit.
Completed drift analyses use atomic `DriftRun` snapshots, including explicit
zero-signal runs. Storage readers select a run marker and its exact signals from
one snapshot; deleting a matched attributed signal window removes the completed
run as a unit. `prune_before()`
removes expired standalone and orphan span rows while preserving an old span
referenced by a retained Trace. SQLite and PostgreSQL execute multi-table trace
deletion and pruning atomically and serialize concurrent trace writers while
they decide which shared parent spans must survive.
Stored costs are best-effort estimates from Verdict's dated static base-price table;
unknown models remain unpriced, and the values are not billing truth.

Hosts that need agent-versus-evaluator cost provenance can bind a bounded,
task-local workload label:

```python
with verdict.workload_context("agent"):
    response = client.messages.create(...)
```

The packaged dashboard recognizes `agent` and `judge`; missing and custom labels
remain visible as unclassified rather than being guessed. The SDK also exposes
aggregate process-local capture/queue telemetry through
`VerdictClient.runtime_metrics.snapshot(client.storage)`. It contains counts and
latency summaries only, never prompts, responses, or exception text.

```python
import verdict
from anthropic import Anthropic

verdict.init(service_name="my-app", storage="sqlite:///./verdict.db")
client = Anthropic()
# Use Anthropic normally — supported SDK calls are captured.
```

Install and run the version-matched dashboard without a source checkout:

```bash
python -m pip install "cognifity-verdict[dashboard]==0.1.0a13"
verdict-dashboard --storage sqlite:///./verdict.db
```

Add the `postgres` extra for a PostgreSQL store. Verdict requires PostgreSQL
databases to use UTF-8 encoding. Legacy SQL_ASCII databases are not supported.
Dashboard analytics are read-only; the setup/import and Monitor controls are
explicit storage mutations. The app can also be mounted with
`verdict.dashboard.create_app()` behind an existing
FastAPI application's authentication. Trace Explorer pages through every
non-judge application trace in deterministic 30-row pages with complete store
totals. Provider/content-state filters apply to the current page. Judge
telemetry remains in aggregate cost and store totals but does not displace
application traces from this view. A `Historical
metadata-only trace` means content was not captured when that specific trace was
recorded; it does not report the application's current capture setting. Legacy
Drift and Judge empty states show global content-bearing trace availability over
the legacy pipeline's default 24-hour current and 7-day baseline windows. Meeting both displayed
totals does not establish statistical readiness: the pipeline still checks each
eligible cluster and rubric dimension for enough judged traces, and job flags
may use different windows or sample floors. The dashboard distinguishes a run
that has not completed from a completed run with zero signals.

Upgrade an existing synchronized `0.1.0a5` through `0.1.0a12` environment with
`python -m pip install --upgrade`
and the same provider, dashboard, semantic, and storage extras already in use.
The published wheels replace editable installs without a new clone and reuse the
selected SQLite file or PostgreSQL tables in place. See the repository
[upgrade instructions](https://github.com/cognifityai/verdict#upgrade-from-an-earlier-synchronized-alpha)
for the synchronized three-package command and verification steps.

An authenticated host may add the dashboard's Operations tab by passing a
same-origin API path:

```python
app.mount(
    "/admin/verdict",
    create_app(storage=storage_url, operations_url="/api/admin/operations"),
)
```

Verdict renders the normalized metrics/jobs response, while the host remains
responsible for cloud credentials, authorization, CSRF protection, collection,
and job execution. Without `operations_url`, no Operations tab or extra request
is present.

The dashboard's **Drift → Clusters** workspace is a bounded, read-only view of the Task 5
tenant/version registry. It shows active and preview versions, stable display
names, frozen algorithm/selector/model configuration, representative redacted
prompts, bounded provider/model distributions, membership explanations,
terminal outlier/ineligible reasons, coverage, and validation readiness. Its
per-cluster independent-conversation counts accept only strict-UTF-8, nonempty,
NUL-free session IDs of at most 256 bytes. Their time-to-readiness value is a
diagnostic estimate at the documented default windows/floor, not activation
or drift decisions; fragmentation/dominant-cluster warnings likewise require
operator inspection. The full 250-cluster list remains visible while nested
evidence is limited to the 20 highest-volume clusters. Standalone use selects the reserved local scope by
default and may select an explicit tenant with `?tenant=`. A mounted host can
instead set `request.state.verdict_registry_tenant`; that authorization-owned
value wins over query input. Mutation buttons appear only with the same-origin
Operations adapter. Semantic and hybrid fallback retain their experimental
disclosure. When a mounted host supplies that authorized tenant, Overview,
Trace Explorer, cluster pass-rate charts, and drift rows project assignments
and stable labels from the same active registry. Standalone and legacy stores
without an authorized active registry continue to use `Trace.cluster_id`.

For published release `0.1.0a13`, the bounded POC entry points include Anthropic
`messages.create(...)` (including `stream=True`), OpenAI
`chat.completions.create(...)` and its stream helper, and Google
`models.generate_content(...)` / `generate_content_stream(...)`, plus the
Anthropic `messages.stream(...)` helper's synchronous and asynchronous accessors
and OpenAI `responses.create(...)`, `responses.parse(...)`, and
`responses.stream(...)` for new or existing responses. OpenAI's
`responses.with_streaming_response` raw-response manager and the separate
experimental `client.beta.responses` multi-agent resource are not instrumented.

See the
[repository README](https://github.com/cognifityai/verdict#readme) for the full
picture, the [architecture decisions](https://github.com/cognifityai/verdict/tree/main/docs/adrs),
and the [examples](https://github.com/cognifityai/verdict/tree/main/examples).

Apache 2.0.
