> ## Documentation Index > Fetch the complete documentation index at: https://docs.decimal.ai/llms.txt > Use this file to discover all available pages before exploring further. # List agents > List distinct agents with summary stats. Returns each agent's name, trace count, latest manifest info, and unreviewed trace count. Also discovers sub-agents from LlmCall.agent_name that don't have their own top-level traces. Results are workspace-scoped: filters by workspace_id when available, with fallback for pre-workspace data (workspace_id IS NULL). ## OpenAPI ````yaml /openapi.json get /api/v1/agents openapi: 3.1.0 info: title: DecimalAI Platform description: Agent Dataset Lifecycle Platform — Backend API version: 0.1.0 servers: [] security: - BearerAuth: [] tags: - name: traces description: >- Ingest, search, and inspect agent execution traces. A trace is the atomic unit of the platform — every other feature (evaluation, compatibility scoring, dataset building) operates on traces. Each trace is auto-tagged with the manifest hash of the agent that produced it. - name: eval-scores description: >- Push, fetch, and aggregate per-trace evaluation scores. Scores carry source provenance (built-in, DeepEval, LangSmith, custom) and feed the unified decision engine, which produces a keep / repair / replay / drop verdict per trace. - name: skills description: >- Manage reusable instruction blocks (SKILL.md files) that modify agent behavior. Skills are first-class manifest components — changes to a skill appear in your regression-check impact reports. Use these endpoints to create, version, fork, and sync skills with your local SKILL.md files. - name: manifests description: >- Register and inspect manifest versions. A manifest is a snapshot of your agent's structural identity (tools, prompts, models, skills) at a point in time. The SDK registers manifests automatically; these endpoints expose the underlying records. - name: datasets description: >- Build versioned SFT/DPO training datasets from manifest-classified, eval-scored traces. Datasets are reproducible — each version locks the manifest and filter set used to build it. Export as JSONL, Parquet, or push to HuggingFace Hub. - name: replay description: >- Re-execute historical traces against a new manifest version. Replay is the deferred-future capability for behavioral verification of agent changes. The SDK creates a replay batch, your worker executes each task, then submits results back here for eval scoring. - name: registry description: >- Browse and install community skills from the public skills registry. Each registry skill carries a SkillScore — an evidence-tiered quality composite computed from real-world evals, benchmarks, and ratings across organizations. Installing creates a fork in your org — edits don't affect the public version. - name: agents description: >- List and inspect agents, plus their multi-agent topology (orchestrator → sub-agent edges discovered from traces). Agents are identified by a stable agent_name string set in your SDK init() call. - name: import description: >- Bulk-import historical traces from another observability platform or a JSONL backup. Useful for migrating from LangSmith / Braintrust / Langfuse. Duplicate trace IDs are silently skipped — re-running an import is safe. paths: /api/v1/agents: get: tags: - agents summary: List agents description: |- List distinct agents with summary stats. Returns each agent's name, trace count, latest manifest info, and unreviewed trace count. Also discovers sub-agents from LlmCall.agent_name that don't have their own top-level traces. Results are workspace-scoped: filters by workspace_id when available, with fallback for pre-workspace data (workspace_id IS NULL). operationId: list_agents_api_v1_agents_get parameters: - name: limit in: query required: false schema: anyOf: - type: integer maximum: 1000 minimum: 1 - type: 'null' description: >- H1088: optional cap on returned agents. Default (None) returns the full list — preserves backward compat. Max 1000. title: Limit description: >- H1088: optional cap on returned agents. Default (None) returns the full list — preserves backward compat. Max 1000. - name: offset in: query required: false schema: type: integer minimum: 0 description: 'H1088: optional offset for pagination. Ignored when limit is None.' default: 0 title: Offset description: 'H1088: optional offset for pagination. Ignored when limit is None.' - name: include_fixtures in: query required: false schema: type: boolean description: >- H1346 (improve#887): when False (default), hide agents whose agent_name starts with `__` — the convention for internal test fixtures (soak SDK runs produce `__soak_sdk_basic_` agents that otherwise dominate a real user's dashboard). Set True for debugging or admin tooling that needs to see the full set. default: false title: Include Fixtures description: >- H1346 (improve#887): when False (default), hide agents whose agent_name starts with `__` — the convention for internal test fixtures (soak SDK runs produce `__soak_sdk_basic_` agents that otherwise dominate a real user's dashboard). Set True for debugging or admin tooling that needs to see the full set. - name: Authorization in: header required: false schema: type: string title: Authorization - name: X-Workspace-Id in: header required: false schema: anyOf: - type: string - type: 'null' title: X-Workspace-Id - name: decimal_session in: cookie required: false schema: anyOf: - type: string - type: 'null' title: Decimal Session responses: '200': description: Successful Response content: application/json: schema: {} example: agents: - agent_name: travel-planner trace_count: 1250 is_subagent: false latest_manifest: id: mfst_001 version_label: v2.1 unreviewed_count: 42 '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' x-codeSamples: - lang: Python label: Python SDK source: |- import httpx resp = httpx.get( "https://api.decimal.ai/api/v1/agents", headers={"Authorization": "Bearer dai_sk_..."}, ) resp.raise_for_status() for agent in resp.json()["agents"]: print(agent["agent_name"], agent["trace_count"]) components: schemas: HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type input: title: Input ctx: type: object title: Context type: object required: - loc - msg - type title: ValidationError securitySchemes: BearerAuth: type: http scheme: bearer description: Enter your API key (e.g. dai_sk_test_key_001) ````