feat:Update API Endpoints and Schemas for Tracer Sessions, Datasets, and Runs

[HavenDV]

Summary by CodeRabbit

• New Features

  • Introduced new API endpoints for creating, updating, and deleting tracer sessions.
  • Added functionality for managing datasets, including creation from CSV files and cloning.
  • Implemented endpoints for managing runs, allowing users to create, update, and query runs by various parameters.

• Bug Fixes

  • Enhanced request and response schemas for improved data handling and user feedback.

[coderabbitai]

Walkthrough

The pull request introduces significant changes to the API endpoints within the openapi.yaml file, focusing on tracer sessions, datasets, and runs. New methods have been added for creating, updating, deleting, and querying tracer sessions, datasets, and runs. Additionally, the request and response schemas for various entities have been updated to accommodate these new functionalities.

Changes

File	Change Summary
src/libs/LangSmith/openapi.yaml	- Added methods for creating, updating, and deleting tracer sessions. - Added methods for managing datasets, including creation from CSV, cloning, and downloading. - Added methods for managing runs, including creation, updates, deletions, and queries. - Updated request and response schemas for various entities.

Possibly related PRs

• feat:Add API endpoints for managing tracer sessions and filter views #101: This PR adds new API endpoints for managing tracer sessions and filter views, which directly relates to the new endpoints for creating, updating, and deleting tracer sessions in the main PR.

Suggested reviewers

• github-actions

Poem

In the meadow where data flows,
New endpoints sprout like blooming rose.
Tracer sessions dance and play,
Datasets join in a grand ballet.
With each update, our API sings,
A world of queries, oh, the joy it brings! 🐇✨

---

📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 6074034 and b28a070.

⛔ Files ignored due to path filters (9)

• src/libs/LangSmith/Generated/LangSmith.IPublicClient.QuerySharedDatasetRuns.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.IRunClient.QueryRuns.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.Models.BodyParamsForRunSchema.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.Models.OrganizationConfig.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.Models.RunSchema.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.Models.RunSchemaWithAnnotationQueueInfo.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.Models.RunSelect.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.PublicClient.QuerySharedDatasetRuns.g.cs is excluded by !**/generated/**
• src/libs/LangSmith/Generated/LangSmith.RunClient.QueryRuns.g.cs is excluded by !**/generated/**

📒 Files selected for processing (1)

• src/libs/LangSmith/openapi.yaml (5 hunks)

🔇 Additional comments (5)

src/libs/LangSmith/openapi.yaml (5)

17800-17804: LGTM!

The field definition maintains consistency with the previous schema.

---

17855-17855: LGTM!

The schema changes are consistent with the previous definitions.

---

15297-15300: Review security implications of custom iframes.

The allow_custom_iframes flag could potentially expose the application to security risks like clickjacking or XSS attacks. Ensure that:

1. Proper CSP (Content Security Policy) headers are implemented
2. Input validation is in place for iframe sources
3. Documentation clearly outlines security implications

Let's check for existing security headers and CSP configurations:

#!/bin/bash
# Search for security-related configurations
rg -g '!*.yaml' "Content-Security-Policy|X-Frame-Options"

---

17422-17426: Verify dataset reference integrity.

The reference_dataset_id field establishes a relationship between runs and datasets. Ensure that:

1. Database constraints or application logic maintain referential integrity
2. API documentation clearly explains the relationship
3. Error handling gracefully manages cases of non-existent dataset references

Let's check for existing dataset reference handling:

#!/bin/bash
# Search for dataset reference handling
ast-grep --pattern 'reference_dataset_id'

---

11041-11041: Consider API versioning for breaking schema changes.

Adding new required fields (reference_dataset_id, total_tokens, prompt_tokens, completion_tokens) to an existing schema is a breaking change that could affect existing clients. Consider:

1. Making these fields optional (nullable: true)
2. Introducing a new API version
3. Providing migration guidance for existing clients

Let's check for existing API clients that might be affected:

---

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