Project Graph

labring/aiproxy

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

labring/aiproxy graph connects 3 alternatives, 8 related projects, 0 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes45
Edges395
Projects32
Dependencies18

Project Context

aiproxy

Maintainerlabring
LicenseMIT
LanguageGo
Recent activityActive in the last week

Deployment Targets

dockerlibrary_onlylocalcloud

Dependencies

LLM provider

Knowledge Graph

45 nodes / 395 edges

labring/aiproxy focus ai observabil… category docker deployment library_only deployment local deployment cloud deployment trace LLM app… use case monitor agent… use case debug product… use case tempo project jaeger project dtctl project monoscope project agentsight project hertzbeat project

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

labring/aiproxy -> grafana/tempoCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:docker, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Go.Gaps: Deployment targets not listed by target: library_only. License changes from MIT to AGPL-3.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
labring/aiproxy -> jaegertracing/jaegerCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:docker, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Go.Gaps: Deployment targets not listed by target: library_only. License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
labring/aiproxy -> dynatrace-oss/dtctlCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Go.Gaps: Deployment targets not listed by target: docker, library_only. License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases

trace LLM applicationsmonitor agent behaviordebug production AI systems

Categories

ai observability

Alternatives

grafana/tempojaegertracing/jaegerdynatrace-oss/dtctlSigNoz/signoz-otel-collectorpydantic/logfirelangchain-ai/langsmith-sdk

Related Projects

monoscope-tech/monoscopeeunomia-bpf/agentsightapache/hertzbeatdeepflowio/deepflowevidentlyai/evidentlyolemeyer/rocketplaneIO