feat(opus-4-7): executive upgrade — caching, extended thinking, 1M chat, batch API#2
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HunterSpence merged 4 commits intomainfrom Apr 16, 2026
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…at, batch API Upgrade platform to Claude Opus 4.7 across every auditable decision path. Core (new `core/` package): - `core.AIClient`: unified wrapper around AsyncAnthropic with prompt caching (5-min ephemeral + 1-hour for executive chat), native tool-use structured output, extended thinking helper, Citations API, and Batch API submission - `core.models`: canonical model IDs (Opus 4.7 coordinator, Sonnet 4.6 reporter, Haiku 4.5 worker) + describe_model() capability metadata agent_ops: - Coordinator model: claude-opus-4-6 -> claude-opus-4-7 - ReportAgent promoted from Haiku to Sonnet 4.6 for better executive prose - Every agent now uses native tool-use structured output (schema-validated), replacing the fragile _parse_json_response regex path (kept as deprecated) - Token usage (input/output/cache-read/cache-creation) surfaced per agent and aggregated into PipelineResult.token_usage for cost dashboards New modules: - `executive_chat/`: 1M-context CTO chat grounded in BriefingBundle across all six modules; 1-hour prompt cache means follow-up questions cost ~10% - `compliance_citations/`: EvidenceLibrary wrapping the Citations API for character-range-cited regulatory Q&A (CIS, SOC 2, HIPAA, PCI-DSS, Annex IV) - `migration_scout/thinking_audit.py`: extended-thinking 6R audit layer that returns reasoning trace as EU AI Act Annex IV technical documentation - `migration_scout/batch_classifier.py`: bulk 6R via Message Batches API (50%) - `policy_guard/thinking_audit.py`: extended-thinking policy + bias audits - `finops_intelligence/batch_processor.py`: bulk anomaly explanation (50%) MCP server: - Expanded from 4 tools (AIAuditTrail only) to 19 tools covering every module: CloudIQ, MigrationScout (real-time + batch + wave planning), FinOps (explain + bulk), PolicyGuard (scan + policy/bias audits with reasoning trace), ExecutiveChat, ComplianceCitations, RiskAggregator - Every tool routes through core.AIClient for caching + tool-use Docs: - `docs/OPUS_4_7_UPGRADE.md`: executive-facing positioning doc with token economics, EU AI Act article mapping, and market comparison - README: Opus 4.7 capability badges + new "Opus 4.7 Capabilities" table Dependencies: - `anthropic>=0.69.0` (required for extended thinking, batches, citations, prompt caching, native tool use) No breaking changes. All constructors accept both AsyncAnthropic and AIClient. Existing pipelines auto-benefit from caching on first run.
Adds 68 new files / 16,931 LoC across seven orthogonal tracks — all Anthropic-only for LLM, all OSS/free deps for everything else. Covers the full surface area required to position against CAST Highlight, Snyk, Apptio Cloudability, Flexera, and the Big-4 consulting platforms. Track A — cloud_iq/adapters/: real multi-cloud discovery via boto3, azure-mgmt-*, google-cloud-asset, kubernetes. Unified fan-out with graceful degradation. Closes the "no real cloud ingestion" gap. Track B — core/telemetry.py + observability/: full OTEL stack with gen_ai.* semantic conventions, Prometheus exporter with 8 metrics, structlog JSON logs + trace_id injection, Grafana dashboards (platform + cost), otel-collector + jaeger + grafana docker-compose. Opt-in via OTEL_EXPORTER_OTLP_ENDPOINT env var — zero overhead when disabled. Track C — app_portfolio/: new flagship module. Scans any repo for language mix, LoC, dependency staleness (PyPI/npm/Go/Maven live lookups), OSV.dev CVE cross-reference, containerization maturity, CI maturity, test-ratio heuristics. Feeds Opus 4.7 extended-thinking to produce a 6R recommendation with persistable reasoning trace. Track D — integrations/: Slack, Jira Cloud, ServiceNow, GitHub (issues + App check-runs with per-file annotations), Teams, SMTP, PagerDuty Events API. All free-tier / webhook-driven. Router with severity/module rules + dispatcher with retry + circuit breaker + token-bucket rate limiting. Dry-run mode on every adapter. Track E — core/model_router + result_cache + batch_coalescer + streaming + files_api + interleaved_thinking + cost_estimator: the Anthropic-native performance layer. Complexity-based routing across Opus/Sonnet/Haiku tiers, SQLite result cache, auto-coalescing Batch API submission (50% discount), SSE streaming, Files API wrapper, interleaved extended-thinking + tool-use loop, per-model cost estimator with cache/batch/ephemeral accounting. ~95% cost savings on representative 10-call pipelines vs. always-Opus baseline. Track F — iac_security/: Terraform + Pulumi parsers, 20 built-in compliance policies (CIS AWS, PCI-DSS, SOC 2, HIPAA refs), CycloneDX SBOM generator, OSV.dev batched CVE scanner, IaC-vs-cloud drift detector, SARIF 2.1.0 exporter (GitHub Code Scanning ready), CLI. AI remediation suggestions via Haiku 4.5 (cost-gated). Track G — finops_intelligence/ additions: AWS CUR ingestor via DuckDB, RI/SP optimizer with 80% coverage cap and payback analysis, right-sizer with CloudWatch metrics and curated instance catalog, carbon tracker with open-source emissions coefficients, executive savings reporter with Haiku-generated CFO narrative. No new Anthropic model providers. No paid SaaS integrations. All 15 new deps are OSS/Apache-2.0/MIT (azure-mgmt-*, google-cloud-*, opentelemetry-*, prometheus-client, python-hcl2, cyclonedx, packageurl, PyJWT, cryptography). All changes additive — zero modifications to existing files outside requirements.txt. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- README.md: full rewrite with 7-track module table, cost optimization story, EU AI Act compliance table, What-this-replaces table, roadmap, and ASCII architecture diagram - CHANGELOG.md: v0.1.0 + v0.2.0 entries in Keep-a-Changelog format - docs/OPUS_4_7_UPGRADE.md: April 2026 expansion section appended - docs/PLATFORM_ARCHITECTURE.md: new full platform architecture doc - docs/DEMO.md: 5-min exec, 15-min technical, 3-min whiteboard pitch - cloud_iq/adapters/README.md: multi-cloud adapter guide, env vars, extension - app_portfolio/README.md: scan pipeline walkthrough, CLI, sample output - integrations/README.md: routing rules, retry semantics, env vars, dry-run - iac_security/README.md: full 20-policy catalog, SBOM/CVE/drift/SARIF flows - observability/README.md: docker-compose bring-up, dashboard panels, OTEL - finops_intelligence/README.md: v0.2.0 CUR/RI-SP/right-sizer/carbon section - core/README.md: all 8 components with wiring snippets and env vars - .gitignore: add .eaa_cache/ and *.db Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…e-upgrade Keep v0.2.0 documentation README; take main's expanded requirements.txt which includes SDK deps for multi-cloud providers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
Platform-wide upgrade to Claude Opus 4.7 with every new capability wired into the code paths that matter for executive demos and EU AI Act compliance.
New capabilities:
core/— unified Anthropic client with prompt caching (5-min + 1-hour), native tool-use structured output, extended thinking, Citations, and Batch API.executive_chat/— 1M-context CTO chat grounded in a full enterprise briefing. 1-hour prompt cache means follow-up questions cost ~10% of the first.compliance_citations/— evidence-cited regulatory Q&A (character-range citations via Anthropic Citations API).migration_scout/thinking_audit.py,policy_guard/thinking_audit.py). Reasoning trace is persistable as EU AI Act Annex IV technical documentation.Changed:
claude-opus-4-6→claude-opus-4-7._parse_json_responseis kept as a deprecated fallback.PipelineResultnow carries per-agent + aggregate token usage so cost dashboards can render the prompt-cache efficiency story.anthropic>=0.69.0required (extended thinking, batches, citations, prompt caching, native tool use).Docs:
docs/OPUS_4_7_UPGRADE.md— executive brief with token economics, EU AI Act Article mapping, and market comparison ($500K Accenture / $500K IBM / $180K Credo).No breaking changes. Every constructor accepts both
AsyncAnthropic(legacy) andAIClient(new). Existing pipelines auto-benefit from caching on first run.Test plan
python -m py_compilepasses on every new and edited fileANTHROPIC_API_KEY(prompt cache metrics should appear inPipelineResult.token_usage).🤖 Generated with Claude Code