36 lines
1.5 KiB
YAML
36 lines
1.5 KiB
YAML
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# Arize Phoenix — per-trace agent waterfall / flamegraph viz.
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# https://github.com/Arize-ai/phoenix
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#
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# Picked over Langfuse for "show me one OpenCode turn as a tree":
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# - Single container vs Langfuse's six (Postgres+ClickHouse+Redis+MinIO+web+worker).
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# - First-class ingestion of Vercel AI SDK spans (which is what OpenCode
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# emits under the hood when experimental.openTelemetry=true).
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# - Best-in-class waterfall + agent-graph view for nested LLM/tool calls.
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#
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# Complements OpenLIT, doesn't replace it: OpenLIT is the fleet-metrics
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# layer (cost / tokens / latency aggregated across sessions). Phoenix is
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# the per-prompt debugger (see what one turn actually did).
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#
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# Bring-up: `docker compose up -d` — no first-run setup needed; UI prompts
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# for project name on first trace ingest. Storage is SQLite at /data.
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services:
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phoenix:
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image: arizephoenix/phoenix:latest
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container_name: phoenix
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restart: unless-stopped
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ports:
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# UI + OTLP/HTTP both ride on 6006 in Phoenix 15.x — HTTP traces go
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# to http://framework:6006/v1/traces. (Pre-15 had a separate 4318;
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# the consolidation happened in Phoenix v15.0.)
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- "6006:6006"
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# OTLP/gRPC stays separate.
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- "4317:4317"
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environment:
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PHOENIX_WORKING_DIR: /data
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# Phoenix listens on all interfaces by default; explicit for clarity.
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PHOENIX_HOST: 0.0.0.0
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PHOENIX_PORT: "6006"
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PHOENIX_GRPC_PORT: "4317"
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volumes:
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- /srv/docker/phoenix/data:/data
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