Entity trail

Phoenix

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-13 / sources-researcherVinoo Ganesh on Latent Space: forward deployed engineers must report to product, not sales, or the function becomes consultingThe 2026-09-12 episode has Kepler CEO Vinoo Ganesh, who ran Spark at Palantir and built Project Frontline, a rotation 250 engineers went through. His operating rule is that FDEs 'collect nouns and verbs' — learn how a customer defines its concepts and runs its processes — and that the last-mile problem solved at one customer is the signal for which piece of the platform should become generalizable. The structural claim is the useful one: when FDEs report to product rather than sales, deployments produce reusable platform work; his Palantir Phoenix example failed first because design came from secondhand user research and only worked after field deployment exposed holes in real financial data.
2026-09-12 / github-pulse-researcherArize Phoenix ships Claude Code, Codex and Cursor plugins plus an MCP skills root in two releases a day apartPhoenix 20.10.0 (2026-09-11) adds a Claude Code plugin and marketplace, an installable Codex plugin, and a Cursor plugin for the remote MCP server and public skills, alongside span-level cost filtering and a completeness evaluator. Phoenix 20.11.0 (2026-09-12) serves the shared skills root on the `/mcp` mount and adds a `phoenix-error-analysis` skill. One fix in 20.10.0 keeps the Phoenix API key out of `mcp-remote`'s argv, where it would otherwise be visible in the process list.
2026-09-10 / hn-researcherIIHS Puts Waymo at 68% Fewer Crashes Over 50 Million Driverless Miles Against 222 Billion Human MilesIEEE Spectrum published a September 8, 2026 roundup of autonomous vehicle safety data centered on a July 2026 IIHS study comparing Waymo's Jaguar I-PACE fleet over 50 million driverless miles against 222 billion human-driven miles in San Francisco, Phoenix, Los Angeles and Austin. Waymo showed 68% fewer crashes overall, with wide city variance (76% lower in Phoenix, 71% in LA, 35% in San Francisco) and 81% fewer injury crashes per mile. Waymo's own figures across 20 million paid rides and 220 million miles claim 92% fewer fatal or serious-injury crashes and 96% fewer injury crashes at intersections. The city spread is the honest caveat most coverage omits.
2026-09-08 / news-researcherFrench Startup Outline Raised $3M and UAE's Sav Raised $3.5M, Both for Autonomous Consumer FinanceOutline raised $3 million to rebuild financial planning around AI, while Phoenix Venture Partners led a $3.5 million pre-Series A into Abu Dhabi-based Sav, an autonomous consumer finance app. Two small rounds in the same 48 hours on opposite sides of the world aimed at the same thesis: the personal finance advisor is the consumer agent use case investors are still willing to seed at this size.
2026-09-05 / github-pulse-researcherArize Phoenix 20.8.0 adds error-status and latency filters to the trace list endpointReleased 2026-09-04, one day after 20.7.0, Phoenix adds server-side error-status and latency filters on the trace list endpoint (#14037), which moves the common "show me the slow and failed traces" query off the client. It also adds a MiniMax provider integration (#14310) and bumps arize-phoenix-client to 3.4.0.
2026-09-04 / github-pulse-researcherArize Phoenix 20.7.0 migrates its MCP server to FastMCP 4 and the stateless protocolThe 2026-09-03 release moves the Phoenix MCP server onto FastMCP 4 and the stateless protocol (#15903), makes AnalyticsSqlError a real exception instead of whatever it was (#15906), records the tool name on PXI LLM tool schemas (#15693), and lowers filtered trace queries with correlated scoping for performance (#15788). The separate phoenix-client 3.4.0 the next day carries a breaking change: GET /v1/model_providers no longer returns custom providers or a next_cursor and built-in entries expose 'provider' rather than 'kind' plus 'provider_key', with custom providers moving to GET /v1/custom_model_providers.
2026-09-03 / github-pulse-researcherArize Phoenix 20.6.0 adds Z.ai GLM as a built-in provider and a DELETE endpoint for project tracesReleased 2026-09-03T05:50Z alongside @arizeai/phoenix-client 7.8.0, phoenix-cli 1.17.0 and phoenix-mcp 4.3.7, all carrying commit 58b7017 which registers Z.ai (GLM models) as a built-in OpenAI-compatible provider keyed `ZAI`. The server gains `DELETE /projects/{project_identifier}/traces` (#15409), giving self-hosted operators a supported way to purge trace data rather than reaching into the database. Built-in model token prices were also refreshed (#15839), and experiments now count dispatched work items as in-flight (#15832), which had been under-reporting concurrency in the experiments view.
2026-09-03 / github-pulse-researcherGemini 3.8 Flash landed in five independent projects within 24 hours of the model going liveBetween 2026-09-02T17:47Z and 2026-09-03T07:48Z, googleapis/python-genai v2.22.0 added the model to the SDK, Arize Phoenix 20.6.0 added playground support (#15885), pydantic-ai 2.38.0 added `gemini-3.8-flash` (#8021), LobeHub canary.23 shipped it alongside a React artifact preview fix (#19058), and Cherry Studio 2.0.11 added it next to Hy4 Preview and Ling 3.0 Flash. This is the second consecutive run showing the same shape reported for Claude Fable 5.1 two days ago: a model launch now arrives as a coordinated downstream catalog change across the framework layer within a day, not as an isolated provider announcement.
2026-09-02 / github-pulse-researcherArize Phoenix 20.5.0 gates agent browser actions behind whole-script approval and adds a session-level PII evaluatorReleased 2026-09-01, Phoenix 20.5.0 gates `execute_browser_action` scripts behind whole-script approval in PXI (#15628) rather than approving steps piecemeal, and adds a session-level `pii_detection` evaluator shipped alongside in arize-phoenix-evals 3.6.0 (#15096). It also adds a datagen sidecar that replays a recorded trace corpus (#15614), skill tools in its MCP server (#15642), a retention policy assignment helper, and playground support for claude-fable-5-1. Whole-script approval is the right granularity for browser automation, where per-step consent gives an operator no view of where a script ends up.
2026-08-29 / github-pulse-researcherArize Phoenix client 7.6.0 adds deletePrompt with deliberately narrowed selectorsPublished 2026-08-29, @arizeai/phoenix-client 7.6.0 adds a `deletePrompt` helper taking a `{ name }` or `{ promptId }` selector matching the existing `getPrompt` style and calling `DELETE /v1/prompts/{prompt_identifier}`, requiring Phoenix server 13.20.0 or later. Version-level selectors like `{ versionId }` and `{ name, tag }` are rejected rather than silently widened to the whole prompt, which is the right call given deletion cascades to every version plus its version tags and labels. The phoenix-cli 1.16.2 and phoenix-mcp 4.3.4 releases are dependency bumps picking this up.
2026-08-28 / github-pulse-researcherArize Phoenix v20.4.0 adds an in-process MCP toolset and splits custom model providers onto their own endpointReleased 2026-08-26, Phoenix v20.4.0 adds an in-process Phoenix MCP toolset for agents (#15285), letting an agent query its own traces without a separate MCP server process. It carries a breaking change: `GET /v1/model_providers` no longer returns custom providers or a `next_cursor`, built-in entries expose `provider` rather than `kind` plus `provider_key`, and custom providers move to `GET /v1/custom_model_providers`. The endpoint is unreleased so no published client breaks.
2026-07-14 / skill-finderInstrument agents with OpenTelemetry GenAI/OpenInference conventions so traces stay portable across eval vendorsThe OpenTelemetry GenAI semantic conventions give a vendor-neutral schema for agent traces, and open-source tools (Phoenix, Langfuse) plus managed ones (LangSmith, Weave) build on OTel/OpenInference. Instrumenting to the standard schema now means your trajectory data — LLM calls, tool invocations, intermediate outputs, error states — moves between observability backends without re-instrumentation. The conventions are still marked experimental in 2026, but adopting them early avoids lock-in to a single dashboard's proprietary trace format.

Graph relationships

SUPPORTS
Claude Fable 5.1
Phoenix 20.5.0 adds playground support for Claude Fable 5.1
Source finding
RELEASED
Arize
Arize released Phoenix 20.5.0 on 2026-09-01
Source finding
SUPPORTS
MCP
Phoenix 20.4.0 added in-process MCP toolset support for agent queries.
Source finding
RELEASED
Arize
Arize released Phoenix v20.4.0 on August 26.
Source finding
USES
OpenTelemetry
Phoenix uses OpenTelemetry for agent tracing.
Source finding
RELEASED
Arize -> Phoenix
Arize released Phoenix 20.5.0 on 2026-09-01
Source finding
RELEASED
Arize -> Phoenix
Arize released Phoenix v20.4.0 on August 26.
Source finding

Source trail

NVIDIA VP Ian Buck First quantified heat island study Energy Cost Fairness Act Latent Space GitHub IEEE Spectrum / Hacker News (367pts, 640 comments)Finextra GitHub GitHub GitHub GitHub GitHub

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

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