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Mit változott a 2.0-val, mibe kerül a Logfire, kinek való.","Pydantic AI bemutató: egy robot formákat dob egy formaválogató dobozba, körülötte kis kígyó.",{"slug":116,"published":117,"minutes":118,"category":119,"tags":120,"tagPages":125,"keywords":130,"about":138,"sources":149,"cover":219,"og":220,"expertise":107,"locales":221,"lang":111,"title":222,"description":223,"coverAlt":224},"opik","2026-10-05",7,"llmops",[121,122,123,15,124],"LLM observability","Tracing","Evaluation","Self-hosting",[126,127,128,17,129],"llm-observability","tracing","evaluation","self-hosting",[116,131,132,133,134,135,136,137],"opik teszt","opik vagy langfuse","opik árak","saját szerveres llm nyomkövetés","opik opentelemetry","llm mint bíró metrikák","opik guardrailek",[139,142,143,146],{"name":140,"url":141},"Comet ML","https:\u002F\u002Fwww.comet.com",{"name":15,"url":37},{"name":144,"url":145},"Observability (software)","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FObservability_(software)",{"name":147,"url":148},"Apache License","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FApache_License",[150,153,156,159,162,165,168,171,174,177,180,183,186,189,192,195,198,201,204,207,210,213,216],{"title":151,"url":152},"Opik repository README on GitHub","https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik",{"title":154,"url":155},"Opik LICENSE file: Apache License 2.0","https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik\u002Fblob\u002Fmain\u002FLICENSE",{"title":157,"url":158},"Opik on PyPI: package metadata","https:\u002F\u002Fpypi.org\u002Fpypi\u002Fopik\u002Fjson",{"title":160,"url":161},"Opik product page","https:\u002F\u002Fwww.comet.com\u002Fsite\u002Fproducts\u002Fopik\u002F",{"title":163,"url":164},"Opik pricing","https:\u002F\u002Fwww.comet.com\u002Fsite\u002Fpricing\u002F",{"title":166,"url":167},"Opik docs: run locally with Docker Compose","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fself-host\u002Flocal_deployment",{"title":169,"url":170},"Opik docs: Kubernetes deployment with Helm","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fself-host\u002Fkubernetes",{"title":172,"url":173},"Opik docs: platform architecture","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fself-host\u002Farchitecture",{"title":175,"url":176},"Opik docs: tracing getting started","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Ftracing\u002Fgetting-started",{"title":178,"url":179},"Opik docs: OpenTelemetry integration","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fintegrations\u002Fopentelemetry",{"title":181,"url":182},"Opik docs: evaluation metrics overview","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fevaluation\u002Fmetrics\u002Foverview",{"title":184,"url":185},"Opik docs: online evaluation rules","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fproduction\u002Fonline-evaluation\u002Frules",{"title":187,"url":188},"Opik docs: Prompt Library overview","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fdevelopment\u002Fprompt-library\u002Foverview",{"title":190,"url":191},"Opik docs: optimisation algorithms","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fdevelopment\u002Foptimization-runs\u002Falgorithms\u002Foverview",{"title":193,"url":194},"Opik docs: guardrails overview","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fguardrails\u002Foverview",{"title":196,"url":197},"Opik docs: guardrails server","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fguardrails\u002Fserver",{"title":199,"url":200},"Opik docs: SDK anonymizers","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fproduction\u002Fgateway-guardrails\u002Fanonymizers",{"title":202,"url":203},"Opik docs: data anonymization","https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fadministration\u002Fdata_anonymization",{"title":205,"url":206},"Comet ML privacy policy","https:\u002F\u002Fwww.comet.com\u002Fsite\u002Fprivacy-policy\u002F",{"title":208,"url":209},"Comet Trust Center","https:\u002F\u002Ftrust.comet.com\u002F",{"title":211,"url":212},"Langfuse repository README (licence)","https:\u002F\u002Fgithub.com\u002Flangfuse\u002Flangfuse",{"title":214,"url":215},"Arize Phoenix repository README (licence)","https:\u002F\u002Fgithub.com\u002FArize-ai\u002Fphoenix",{"title":217,"url":218},"LangChain pricing (LangSmith plans)","https:\u002F\u002Fwww.langchain.com\u002Fpricing","\u002Fimages\u002Fblog\u002Fopik\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fopik\u002Fog.jpg",[109,110,111],"Opik teszt: nyílt forrású nyomkövetés és értékelés, amerikai felhővel","Nyomok, judge-metrikák, promptverziók és optimalizáló egy Apache 2.0 platformon. Saját szerveren ingyen, a Pro felhő havi 19 dollár, az USA-ban hosztolt.","Opik teszt: távcső egy jegyzetfüzet-kupacon, a háttérben felhő egy zászló fölött.",{"slug":226,"published":227,"updated":228,"minutes":229,"category":119,"tags":230,"tagPages":231,"keywords":232,"about":241,"sources":250,"cover":274,"og":275,"expertise":107,"locales":276,"lang":111,"title":277,"description":278,"coverAlt":279},"langfuse","2026-08-13","2026-10-07",10,[121,122,15,124,123],[126,127,17,129,128],[226,233,234,235,236,237,238,239,240],"langfuse vagy langsmith","llm nyomkövetési eszköz","saját szerveres llm megfigyelhetőség","langfuse árak","opentelemetry llm trace-ek","llm költségkövetés","prompt verziókezelés","langfuse teszt",[242,245,246,249],{"name":243,"url":244},"Langfuse","https:\u002F\u002Flangfuse.com",{"name":15,"url":37},{"name":247,"url":248},"ClickHouse","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FClickHouse",{"name":144,"url":145},[251,254,257,260,263,266,269,272],{"title":252,"url":253},"Langfuse documentation: observability and application tracing","https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fobservability\u002Foverview",{"title":255,"url":256},"Langfuse documentation: get started with tracing","https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fobservability\u002Fget-started",{"title":258,"url":259},"Langfuse pricing: cloud plans, billable units and worked examples","https:\u002F\u002Flangfuse.com\u002Fpricing",{"title":261,"url":262},"Langfuse pricing: self-hosted plans and the feature comparison","https:\u002F\u002Flangfuse.com\u002Fpricing-self-host",{"title":264,"url":265},"Self-host Langfuse: deployment options, containers and storage services","https:\u002F\u002Flangfuse.com\u002Fself-hosting",{"title":267,"url":268},"Langfuse changelog: v4 is live (17 August 2026)","https:\u002F\u002Flangfuse.com\u002Fchangelog\u002F2026-08-17-langfuse-v4",{"title":270,"url":271},"Langfuse blog: Langfuse joins ClickHouse (16 January 2026)","https:\u002F\u002Flangfuse.com\u002Fblog\u002Fjoining-clickhouse",{"title":273,"url":212},"GitHub: langfuse\u002Flangfuse, the platform repository","\u002Fimages\u002Fblog\u002Flangfuse\u002Fcover.webp","\u002Fimages\u002Fblog\u002Flangfuse\u002Fog.jpg",[109,110,111],"Langfuse bemutatás: nyomkövetés, promptok és értékelések saját szerveren","A Langfuse MIT-licencű platform LLM-nyomokhoz, promptverziókhoz és kísérletekhez. Mibe kerül a saját telepítés, mennyi a usage-alapú ár, és hol veszít?","Langfuse bemutató: lábnyomok vezetnek egy ház kertjében egy nagyítós jegyzetfüzethez.",{"slug":281,"published":282,"updated":283,"minutes":284,"category":119,"tags":285,"tagPages":288,"keywords":290,"about":301,"sources":308,"cover":358,"og":359,"expertise":107,"locales":360,"lang":111,"title":361,"description":362,"coverAlt":363},"agent-observability-opentelemetry","2026-08-06","2026-10-01",12,[15,121,286,122,287],"AI agents","Evals",[17,126,289,127],"ai-agents",[291,292,293,294,295,296,297,298,299,300],"llm ügynök megfigyelhetőség opentelemetry","opentelemetry genai semantic conventions","hogyan kövessük nyomon az llm ügynököket","gen_ai semantic conventions attribútumok","llm token használat és költség mérőszámok","llm nyomkövetés mintavétel","személyes adatok llm nyomkövetésben","langfuse vs arize phoenix vs datadog összehasonlítás","ai ügynök nyomkövetés és értékelés","opentelemetry llm nyomkövetés",[302,303,305],{"name":15,"url":37},{"name":304,"url":145},"Observability",{"name":306,"url":307},"Intelligent agent","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FIntelligent_agent",[309,312,315,318,321,324,327,330,333,336,339,342,345,347,349,352,355],{"title":310,"url":311},"OpenTelemetry: GenAI semantic conventions repository (open-telemetry\u002Fsemantic-conventions-genai)","https:\u002F\u002Fgithub.com\u002Fopen-telemetry\u002Fsemantic-conventions-genai",{"title":313,"url":314},"GenAI conventions: overview (status Development)","https:\u002F\u002Fgithub.com\u002Fopen-telemetry\u002Fsemantic-conventions-genai\u002Fblob\u002Fmain\u002Fdocs\u002Fgen-ai\u002FREADME.md",{"title":316,"url":317},"GenAI conventions: model spans, execute_tool and content capture","https:\u002F\u002Fgithub.com\u002Fopen-telemetry\u002Fsemantic-conventions-genai\u002Fblob\u002Fmain\u002Fdocs\u002Fgen-ai\u002Fgen-ai-spans.md",{"title":319,"url":320},"GenAI conventions: agent 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Protocol","https:\u002F\u002Fgithub.com\u002Fopen-telemetry\u002Fsemantic-conventions-genai\u002Fblob\u002Fmain\u002Fdocs\u002Fgen-ai\u002Fmcp.md",{"title":334,"url":335},"OpenTelemetry docs: GenAI conventions moved notice","https:\u002F\u002Fopentelemetry.io\u002Fdocs\u002Fspecs\u002Fsemconv\u002Fgen-ai\u002F",{"title":337,"url":338},"OpenTelemetry docs: Sampling","https:\u002F\u002Fopentelemetry.io\u002Fdocs\u002Fconcepts\u002Fsampling\u002F",{"title":340,"url":341},"John Hodge: The state of the OpenTelemetry GenAI semantic conventions (July 2026)","https:\u002F\u002Fjohn-hodge.com\u002Fblog\u002Fopentelemetry-genai-semantic-conventions\u002F",{"title":343,"url":344},"Langfuse docs: OpenTelemetry integration","https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fopentelemetry\u002Fget-started",{"title":346,"url":212},"Langfuse repository and licence",{"title":348,"url":215},"Arize Phoenix repository",{"title":350,"url":351},"Arize OpenInference 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monitor.",{"slug":365,"published":366,"updated":283,"minutes":229,"category":119,"tags":367,"tagPages":369,"keywords":370,"about":378,"sources":383,"cover":409,"og":410,"expertise":107,"locales":411,"lang":111,"title":412,"description":413,"coverAlt":414},"arize-phoenix","2026-07-03",[121,122,15,368,123],"Self-hosted",[126,127,17,128],[371,372,373,374,375,376,377],"arize phoenix","phoenix arize saját szerveren","arize phoenix docker telepítés","llm nyomkövetés opentelemetry","phoenix vagy langfuse összehasonlítás","openinference instrumentation","llm megfigyelhetőségi eszközök",[379,381,382],{"name":380,"url":215},"Arize Phoenix",{"name":15,"url":37},{"name":144,"url":145},[384,387,390,393,396,399,402,405,407],{"title":385,"url":386},"Arize Phoenix: open-source AI observability and evaluation","https:\u002F\u002Fphoenix.arize.com",{"title":388,"url":389},"Phoenix documentation: 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units",{"title":408,"url":218},"LangChain pricing: LangSmith plans","\u002Fimages\u002Fblog\u002Farize-phoenix\u002Fcover.webp","\u002Fimages\u002Fblog\u002Farize-phoenix\u002Fog.jpg",[109,110,111],"Arize Phoenix teszt: LLM-tracing és értékelés saját szerveren","Az Arize Phoenix ELv2 licencű trace- és értékelőszerver, saját adatbázison. Mibe kerül, és hol jobb nála a Langfuse, a Braintrust vagy a LangSmith?","Arize Phoenix teszt: egy főnixmadár száll fel egy kis ház fölé, a tetőn nagyító fekszik.",{"slug":416,"published":366,"minutes":229,"category":119,"tags":417,"tagPages":421,"keywords":422,"about":429,"sources":433,"cover":461,"og":462,"expertise":107,"locales":463,"lang":111,"title":464,"description":465,"coverAlt":466},"helicone",[121,15,418,419,420],"Cost tracking","Proxy","Gateway",[126,17],[416,423,424,425,426,427,235,428],"helicone llm megfigyelhetőség","helicone vagy langfuse","llm költségkövetés eszköz","nyílt forráskódú llm megfigyelhetőség","llm átjáró proxy","helicone gyorsítótár",[430,431],{"name":15,"url":37},{"name":432,"url":148},"Apache License 2.0",[434,437,440,443,446,449,452,455,458],{"title":435,"url":436},"Helicone quickstart","https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fquick-start",{"title":438,"url":439},"Helicone AI Gateway overview","https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Foverview",{"title":441,"url":442},"Helicone: latency impact and benchmark","https:\u002F\u002Fdocs.helicone.ai\u002Freferences\u002Flatency-affect",{"title":444,"url":445},"Helicone: proxy versus async integration","https:\u002F\u002Fdocs.helicone.ai\u002Freferences\u002Fproxy-vs-async",{"title":447,"url":448},"Helicone: LLM caching","https:\u002F\u002Fdocs.helicone.ai\u002Ffeatures\u002Fadvanced-usage\u002Fcaching",{"title":450,"url":451},"Helicone: self-hosting with Docker","https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fself-deploy-docker",{"title":453,"url":454},"Helicone: how we calculate cost","https:\u002F\u002Fdocs.helicone.ai\u002Ffaq\u002Fhow-we-calculate-cost",{"title":456,"url":457},"Helicone pricing","https:\u002F\u002Fwww.helicone.ai\u002Fpricing",{"title":459,"url":460},"Helicone repository on GitHub","https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone","\u002Fimages\u002Fblog\u002Fhelicone\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fhelicone\u002Fog.jpg",[109,110,111],"Helicone: observability, ami a kérés útjában ül","A Helicone Apache-2.0 licencű LLM gateway és megfigyelési platform. Mit ad a proxy-architektúra, mibe kerül, és hogyan néz ki a saját üzemeltetés?","Helicone observability: kerekes boríték halad át egy kamerás fizetőkapun.",{"slug":468,"published":469,"updated":470,"minutes":229,"category":119,"tags":471,"tagPages":475,"keywords":476,"about":484,"sources":490,"cover":511,"og":512,"expertise":107,"locales":513,"lang":111,"title":514,"description":515,"coverAlt":516},"langsmith","2026-05-25","2026-09-14",[122,472,15,473,474],"LLM evals","Datasets","Retries",[127,17],[468,477,478,479,480,300,481,482,483],"langsmith vagy langfuse","llm observability eszközök","llm nyomkövetés költsége","langsmith díjszabás","llm értékelő adathalmazok","phoenix vagy langsmith","langsmith teszt",[485,488,489],{"name":486,"url":487},"LangSmith","https:\u002F\u002Fwww.langchain.com\u002Flangsmith",{"name":15,"url":37},{"name":247,"url":248},[491,493,496,499,502,505,508],{"title":492,"url":218},"LangSmith pricing",{"title":494,"url":495},"LangSmith documentation: administration overview","https:\u002F\u002Fdocs.langchain.com\u002Flangsmith\u002Fadministration-overview",{"title":497,"url":498},"LangSmith documentation: custom instrumentation","https:\u002F\u002Fdocs.langchain.com\u002Flangsmith\u002Fannotate-code",{"title":500,"url":501},"LangSmith documentation: trace with OpenTelemetry","https:\u002F\u002Fdocs.langchain.com\u002Flangsmith\u002Ftrace-with-opentelemetry",{"title":503,"url":504},"LangSmith documentation: evaluation concepts","https:\u002F\u002Fdocs.langchain.com\u002Flangsmith\u002Fevaluation-concepts",{"title":506,"url":507},"LangSmith documentation: self-hosted deployment","https:\u002F\u002Fdocs.langchain.com\u002Flangsmith\u002Fself-hosted",{"title":509,"url":510},"LangChain: introducing end-to-end OpenTelemetry support in LangSmith","https:\u002F\u002Fwww.langchain.com\u002Fblog\u002Fend-to-end-opentelemetry-langsmith","\u002Fimages\u002Fblog\u002Flangsmith\u002Fcover.webp","\u002Fimages\u002Fblog\u002Flangsmith\u002Fog.jpg",[109,110,111],"LangSmith: egy observability termékből lett agentplatform","LangSmith-teszt: számlázás trace-enként, 14 és 180 napos megőrzés, OpenTelemetry-ingest, offline és online értékelés, hol csúszik az agent runtime felé.","LangSmith: kalapácsos üllő áll egy távcső és egy növekvő növény mellett.",1793451238531]