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Dev update #43
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Dev update #43
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Feature/prototype ts
Feature/prototype ts
adding minor changes in naming
Feature/ts traceai
[feature] added error messages for resource limits.
New Evals integration in traceai libraries
version bump for projects
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Caution Review failedThe pull request is closed. WalkthroughThis update introduces comprehensive support for AI evaluation tagging and custom evaluation configurations across both Python and TypeScript components. Numerous enums, configuration schemas, and mapping utilities for evaluation tags are added, alongside conditional imports for optional dependencies. Version numbers and dependencies are incremented throughout, and error handling is enhanced for HTTP responses. TypeScript packages receive major upgrades for OpenTelemetry and internal workspace protocol usage. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant TracerProvider
participant EvalTag
participant Server
User->>TracerProvider: register({ projectName, projectType, evalTags, ... })
TracerProvider->>EvalTag: create() for each evalTag
EvalTag->>Server: checkCustomEvalTemplateExists (if custom eval)
Note right of EvalTag: Validates enums, config, mapping
TracerProvider->>Server: checkCustomEvalConfigExists (fire-and-forget)
TracerProvider->>TracerProvider: Setup resources, processors, etc.
User->>TracerProvider: Start tracing session
TracerProvider->>Server: Export spans (with eval tags)
Server-->>TracerProvider: (Optional) HTTP error with JSON body
TracerProvider->>TracerProvider: Enhanced error handling/logging
Poem
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