> ## Documentation Index > Fetch the complete documentation index at: https://docs.revilico.bio/llms.txt > Use this file to discover all available pages before exploring further. # Start a RevOptimization run > Generates molecules while steering the generator, stage by stage, towards goals you set: a property range (weight, solubility, polarity, rings…), similarity to reference molecules, a wanted or unwanted substructure, or strong docking into a protein. Each stage optimises one goal and starts from the generator the previous stage left. Can start from a model you trained with RevTrain. Starts a run and returns it with status `queued`; poll GET /v1/runs/{runId} until it finishes. Runs spend credits. **Limits:** `maxStages`: 5, `maxStepsPerStage`: 1000, `maxMoleculesSampled`: 250000, `maxBatchSize`: 1024, `maxInputMolecules`: 1000. How the engine works and how to read its results: [RevOptimization documentation](/docs/revoptimization). **Scope:** `runs:write`. ## OpenAPI ````yaml /api-reference/openapi.json post /v1/engines/revoptimization/runs openapi: 3.1.0 info: title: Revilico API version: 1.0.0 description: >- Run Revilico's computational chemistry and biology engines from your own code: upload input files, start runs, follow them and read their results. servers: - url: https://public-api.revilico.bio security: - bearerAuth: [] tags: - name: Account description: Who you are, your credits and what your runs have used. - name: Engines description: The engines you can run, their parameter schemas and examples. - name: Files description: 'Upload input files: create an upload, then PUT the bytes.' - name: Runs description: Start, follow and cancel engine runs. - name: Results and outputs description: 'Read what a run produced: results, files and outputs.' - name: Projects description: Group runs into the projects you see in the web app. - name: Sharing description: >- Share runs with people in your organization, as in the web app's Pipeline sharing. - name: Notes description: >- RevNotes: read, write and share the rich-text notes and note folders of the web app's RevNotes panel, in markdown or HTML. - name: Drive description: >- Your RevDrive files and shared drives, as in the web app: browse, read, use files as run inputs, save outputs, and organize. Ids: `dfile_…` and `dfld_…` in a personal Drive, `drive_…` for a shared drive, `sdfile_…` and `sdfld_…` in one. - name: Engine runs description: >- Start a run of one engine, with that engine's parameters and input files. Same endpoint as **Start a run**. - name: Health description: Service status. Needs no API key. paths: /v1/engines/revoptimization/runs: post: tags: - Engine runs summary: Start a RevOptimization run description: >- Generates molecules while steering the generator, stage by stage, towards goals you set: a property range (weight, solubility, polarity, rings…), similarity to reference molecules, a wanted or unwanted substructure, or strong docking into a protein. Each stage optimises one goal and starts from the generator the previous stage left. Can start from a model you trained with RevTrain. Starts a run and returns it with status `queued`; poll GET /v1/runs/{runId} until it finishes. Runs spend credits. **Limits:** `maxStages`: 5, `maxStepsPerStage`: 1000, `maxMoleculesSampled`: 250000, `maxBatchSize`: 1024, `maxInputMolecules`: 1000. How the engine works and how to read its results: [RevOptimization documentation](/docs/revoptimization). **Scope:** `runs:write`. operationId: engineRuns.revoptimization requestBody: required: true content: application/json: schema: type: object properties: name: description: A name for the run, shown in the web app. type: string maxLength: 200 parameters: type: object properties: generator: default: reinvent description: >- How molecules are made. reinvent: from scratch, no input molecules. libinvent: adds side groups to the given scaffolds. linkinvent: joins two given fragments with a new linker. mol2mol: makes variants of the given molecules. pepinvent: fills the masked positions of the given peptides. type: string enum: - reinvent - libinvent - linkinvent - mol2mol - pepinvent input_smiles: default: [] description: >- Input molecules, one per item; needed for every generator except reinvent, which takes none. libinvent: a scaffold with numbered attachment points, e.g. [*:0]Cc1ccc(C[*:1])cc1. linkinvent: two fragments separated by |, each with one * where the linker attaches, e.g. Oc1cncc(*)c1|*c1ccoc1. mol2mol: the SMILES of a starting molecule. pepinvent: a peptide in CHUCKLES notation, amino acids separated by | and ? at each position to fill. maxItems: 1000 type: array items: type: string pattern: ^[!-~]{1,1000}$ model: description: >- Built-in model to start from; defaults to the generator's own (for mol2mol, mol2mol_similarity). mol2mol has six: mol2mol_similarity (loosest resemblance), mol2mol_medium_similarity, mol2mol_high_similarity (closest analogs), mol2mol_mmp (the small swaps medicinal chemists typically make), mol2mol_scaffold (new core, same side groups) and mol2mol_scaffold_generic (broader core changes). type: string enum: - reinvent - libinvent - linkinvent - mol2mol_similarity - mol2mol_medium_similarity - mol2mol_high_similarity - mol2mol_mmp - mol2mol_scaffold - mol2mol_scaffold_generic - pepinvent trained_model_run: description: >- Instead of a built-in model: the run_… id of one of your succeeded RevTrain runs, so optimisation starts from molecules like your training set. Only for generator reinvent or mol2mol, the same generator the model was trained for. type: string pattern: >- ^run_[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$ batch_size: default: 64 description: >- Molecules generated and scored per learning step. Larger batches learn more steadily and make each step slower (docking especially). type: integer minimum: 1 maximum: 1024 diversity_filter: default: none description: >- A diversity filter for the whole run (a stage's own filter replaces it for that stage). Keeps the generator exploring instead of repeating its best idea, by lowering the score of molecules too like ones already found. identical_murcko_scaffold: same ring framework; identical_topological_scaffold: same framework ignoring atom types; scaffold_similarity: frameworks that are merely similar; penalize_same_smiles: the exact same molecule. none: no filter. type: string enum: - none - identical_murcko_scaffold - identical_topological_scaffold - scaffold_similarity - penalize_same_smiles inception_smiles: default: [] description: >- reinvent only: known good molecules, one SMILES per item, mixed into the first learning steps as examples so the generator finds good regions faster. Leave empty to start without examples. maxItems: 1000 type: array items: type: string pattern: ^[!-~]{1,1000}$ inception_memory_size: default: 100 description: >- With inception_smiles: how many of the best molecules (examples and generated) are kept as examples. type: integer minimum: 1 maximum: 1000 inception_sample_size: default: 10 description: >- With inception_smiles: how many examples are mixed into each step. More steers harder towards the examples and explores less. type: integer minimum: 1 maximum: 100 sampling_strategy: default: multinomial description: >- mol2mol only. multinomial samples with some randomness; beamsearch takes the most likely molecules, less varied. type: string enum: - multinomial - beamsearch distance_threshold: default: 100 description: >- mol2mol with multinomial sampling only. Molecules the starting model finds less likely than this (negative log-likelihood above it) get their score cut, which keeps results closer to the inputs. Lower keeps them closer. type: integer minimum: 1 maximum: 1000 stages: minItems: 1 maxItems: 5 type: array items: type: object properties: objective: oneOf: - type: object properties: type: type: string enum: - molecular_weight - slogp - tpsa - hbond_donors - hbond_acceptors - rotatable_bonds - stereocenters - heavy_atoms - hetero_atoms - rings - aromatic_rings - aliphatic_rings - largest_ring_size - graph_length - fraction_sp3 - sp_atoms - sp2_atoms - sp3_atoms - molecular_volume - linker_molecular_weight - linker_graph_length - linker_effective_length - linker_length_ratio - linker_hbond_acceptors - linker_hbond_donors - linker_rotatable_bonds - linker_sp_atoms - linker_sp2_atoms - linker_sp3_atoms - linker_rings - linker_aromatic_rings - linker_aliphatic_rings description: >- A computed property of the molecule. A molecule scores 1 when the value lies between low and high and less the further outside it is, except rotatable_bonds, stereocenters and linker_rotatable_bonds, where it scores 1 at or below low and 0 at or above high. Defaults for low and high: molecular_weight 150 to 600, slogp -1 to 7, tpsa 0 to 200, hbond_donors 0 to 7, hbond_acceptors 0 to 12, rotatable_bonds 0 to 15, stereocenters 0 to 6, heavy_atoms 15 to 80, hetero_atoms 1 to 20, rings 0 to 8, aromatic_rings 0 to 5, aliphatic_rings 0 to 5, largest_ring_size 3 to 12, graph_length 3 to 60, fraction_sp3 0 to 1, sp_atoms 0 to 10, sp2_atoms 0 to 25, sp3_atoms 0 to 25, molecular_volume 100 to 700, linker_molecular_weight 50 to 350, linker_graph_length 3 to 40, linker_effective_length 2 to 25, linker_length_ratio 0.1 to 1, linker_hbond_acceptors 0 to 6, linker_hbond_donors 0 to 4, linker_rotatable_bonds 0 to 10, linker_sp_atoms 0 to 10, linker_sp2_atoms 0 to 20, linker_sp3_atoms 0 to 20, linker_rings 0 to 4, linker_aromatic_rings 0 to 3, linker_aliphatic_rings 0 to 3, pmi 0 to 1, group_count 0 to 10, tanimoto_similarity 0 to 1, docking -14 to -3. slogp: how fat-soluble the molecule is; tpsa: polar surface area in Ų; graph_length: the longest chain of bonds; fraction_sp3: share of carbons with only single bonds. linker_* types score only the new linker and need generator linkinvent. low: description: >- Lower end of the range that is scored (see type for what it means and the default). type: number high: description: >- Upper end of the range that is scored (see type for what it means and the default). type: number required: - type additionalProperties: false - type: object properties: type: type: string const: pmi description: >- Molecule shape from its principal moments of inertia: about 0 for rod-like or flat, about 1 for ball-like. Scores 1 between low and high (default 0 to 1). low: description: >- Lower end of the range that is scored (see type for what it means and the default). type: number high: description: >- Upper end of the range that is scored (see type for what it means and the default). type: number property: default: npr1 description: 'Which shape ratio to use: npr1 or npr2.' type: string enum: - npr1 - npr2 required: - type additionalProperties: false - type: object properties: type: type: string const: group_count description: >- How many times a SMARTS pattern occurs in the molecule. Scores 1 when the count is between low and high (default 0 to 10). low: description: >- Lower end of the range that is scored (see type for what it means and the default). type: number high: description: >- Upper end of the range that is scored (see type for what it means and the default). type: number smarts: type: string pattern: ^[!#%*+,\-./0-9:<=>?@A-Z[\]^_a-z~]{1,500}$ description: >- The SMARTS pattern to count. For now it can't contain parentheses or any of ; | & $ { } ` ' " \, so only molecules without branches (and patterns without groups) can be used. required: - type - smarts additionalProperties: false - type: object properties: type: type: string const: tanimoto_similarity description: >- Fingerprint similarity (0 to 1) to the most similar reference molecule. Scores 0 at or below low and 1 at or above high (default 0 to 1). low: description: >- Lower end of the range that is scored (see type for what it means and the default). type: number high: description: >- Upper end of the range that is scored (see type for what it means and the default). type: number reference_smiles: minItems: 1 maxItems: 100 type: array items: type: string pattern: >- ^[!#%*+,\-./0-9:<=>?@A-Z[\]^_a-z~]{1,500}$ description: >- Reference molecules, one SMILES per item. For now it can't contain parentheses or any of ; | & $ { } ` ' " \, so only molecules without branches (and patterns without groups) can be used. fingerprint_radius: default: 1 description: >- How far around each atom the fingerprint looks, in bonds. Higher compares larger pieces and makes the similarity stricter. type: integer minimum: 1 maximum: 3 use_counts: default: true description: >- Count how often each piece occurs rather than only whether it occurs. type: boolean use_pharmacophore_features: default: true description: >- Compare atoms by their role (hydrogen-bond donor, acceptor, aromatic…) rather than by element, so different atoms playing the same role count as similar. type: boolean required: - type - reference_smiles additionalProperties: false - type: object properties: type: type: string const: docking description: >- Docks each molecule into a protein (AutoDock Vina on GPU) and scores the binding energy in kcal/mol, where more negative is better: 1 at or below low, 0 at or above high (default -14 to -3). Needs the protein as an input file (stage_N_protein for this stage, or protein for every docking stage). Much slower than the other objectives. low: description: >- Lower end of the range that is scored (see type for what it means and the default). type: number high: description: >- Upper end of the range that is scored (see type for what it means and the default). type: number box_center: type: array prefixItems: - type: number minimum: -999 maximum: 9999 - type: number minimum: -999 maximum: 9999 - type: number minimum: -999 maximum: 9999 items: false minItems: 3 maxItems: 3 description: >- Centre of the search box in Å (x, y, z), in the coordinates of the protein file: usually the centre of the binding pocket. box_size: default: - 30 - 30 - 30 description: >- Edge lengths of the search box in Å (x, y, z), 1 to 100. It must enclose the pocket; larger boxes search more space and dock more slowly. type: array prefixItems: - type: number minimum: 1 maximum: 100 - type: number minimum: 1 maximum: 100 - type: number minimum: 1 maximum: 100 items: false minItems: 3 maxItems: 3 required: - type - box_center additionalProperties: false - type: object properties: type: type: string const: matching_substructure description: >- Favours molecules that contain a SMARTS pattern: a molecule without it scores 0.5, one with it 1. smarts: type: string pattern: ^[!#%*+,\-./0-9:<=>?@A-Z[\]^_a-z~]{1,500}$ description: >- The SMARTS pattern. For now it can't contain parentheses or any of ; | & $ { } ` ' " \, so only molecules without branches (and patterns without groups) can be used. use_chirality: default: false description: >- Also require the 3D handedness (chirality) in the pattern to match. type: boolean required: - type - smarts additionalProperties: false - type: object properties: type: type: string const: custom_alerts description: >- Rejects molecules that contain any of the SMARTS patterns: they score 0, the rest 1. smarts: minItems: 1 maxItems: 100 type: array items: type: string pattern: >- ^[!#%*+,\-./0-9:<=>?@A-Z[\]^_a-z~]{1,500}$ description: >- Unwanted SMARTS patterns, one per item. For now it can't contain parentheses or any of ; | & $ { } ` ' " \, so only molecules without branches (and patterns without groups) can be used. required: - type - smarts additionalProperties: false description: >- What this stage optimises: one property or score per stage. To optimise several things, give each its own stage (they run in order, each starting from the generator the previous one left). min_steps: default: 10 description: >- Learning steps to run at least, even if target_score is reached sooner. type: integer minimum: 1 maximum: 1000 max_steps: default: 100 description: >- Learning steps to run at most. Each step generates batch_size molecules, scores them and nudges the generator towards the better ones. More steps give better-scoring molecules and take longer. type: integer minimum: 1 maximum: 1000 target_score: default: 0.6 description: >- The stage ends early once a step's average score reaches this (after min_steps). Higher keeps optimising longer. type: number minimum: 0 maximum: 1 diversity_filter: default: none description: >- A diversity filter for this stage only. Keeps the generator exploring instead of repeating its best idea, by lowering the score of molecules too like ones already found. identical_murcko_scaffold: same ring framework; identical_topological_scaffold: same framework ignoring atom types; scaffold_similarity: frameworks that are merely similar; penalize_same_smiles: the exact same molecule. none: no filter. type: string enum: - none - identical_murcko_scaffold - identical_topological_scaffold - scaffold_similarity - penalize_same_smiles required: - objective additionalProperties: false description: >- The optimisation goals, run in order (1 to 5), e.g. first steer towards a molecular weight range, then towards strong docking. Each stage optimises one objective. required: - stages additionalProperties: false inputs: type: object properties: protein: type: string description: >- Protein to dock into (PDB), used by every docking stage that has no stage_N_protein of its own. Water, ligands and other molecules should be removed; hydrogens are added for you. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. stage_1_protein: type: string description: >- Protein to dock into (PDB) in stage 1 only, when it differs from protein. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. stage_2_protein: type: string description: >- Protein to dock into (PDB) in stage 2 only, when it differs from protein. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. stage_3_protein: type: string description: >- Protein to dock into (PDB) in stage 3 only, when it differs from protein. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. stage_4_protein: type: string description: >- Protein to dock into (PDB) in stage 4 only, when it differs from protein. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. stage_5_protein: type: string description: >- Protein to dock into (PDB) in stage 5 only, when it differs from protein. A file id: an upload (`file_…`) or a Drive file (`dfile_…`, `sdfile_…`). Formats: pdb; up to 20 MB. additionalProperties: false budget: description: Most credits the run may spend; it is stopped beyond that. type: number exclusiveMinimum: 0 projectId: description: >- Add the run to this project (`proj_…`); needs editor or owner on it. type: string required: - parameters additionalProperties: false examples: properties: summary: >- Generate molecules from scratch, steered first into a molecular weight range and then towards moderate fat solubility. value: name: Oral-like library parameters: stages: - objective: type: molecular_weight low: 300 high: 450 - objective: type: slogp low: 1 high: 3 max_steps: 200 inputs: {} docking: summary: >- Steer towards drug-sized molecules, then towards strong docking scores in a protein pocket. value: name: Pocket binders parameters: batch_size: 32 diversity_filter: identical_murcko_scaffold stages: - objective: type: molecular_weight low: 250 high: 500 max_steps: 50 - objective: type: docking box_center: - 12.5 - -4.2 - 30.1 box_size: - 22 - 22 - 22 min_steps: 20 max_steps: 150 target_score: 0.7 inputs: protein: file_… analogs-without-alerts: summary: >- Make variants of a lead molecule (celecoxib) that keep a polar surface area of 60 to 90 Ų and avoid azo and thiol groups. value: parameters: generator: mol2mol model: mol2mol_medium_similarity input_smiles: - Cc1ccc(-c2cc(C(F)(F)F)nn2-c2ccc(S(N)(=O)=O)cc2)cc1 stages: - objective: type: tpsa low: 60 high: 90 - objective: type: custom_alerts smarts: - N=N - '[SX2H]' max_steps: 50 inputs: {} trained-model: summary: >- Start from a model you fine-tuned on your own molecules with RevTrain and steer it towards fewer rotatable bonds. value: name: Series A, rigidified parameters: trained_model_run: run_00000000-0000-0000-0000-000000000000 stages: - objective: type: rotatable_bonds low: 2 high: 8 max_steps: 300 target_score: 0.8 inputs: {} responses: '202': description: OK content: application/json: schema: $ref: '#/components/schemas/Run' '400': $ref: '#/components/responses/400' '401': $ref: '#/components/responses/401' '402': $ref: '#/components/responses/402' '403': $ref: '#/components/responses/403' '404': $ref: '#/components/responses/404' '422': $ref: '#/components/responses/422' '500': $ref: '#/components/responses/500' '502': $ref: '#/components/responses/502' components: schemas: Run: type: object properties: id: type: string description: Run id, `run_…`. engine: type: string description: Engine slug, e.g. `revredox`. name: type: - string - 'null' access: type: string enum: - owner - shared - project description: >- Why you can see the run: you started it, it was shared with you, or it is in a project you belong to. Only the owner can cancel it or read its inputs. owner: type: object properties: name: type: - string - 'null' email: type: string required: - name - email description: Who started the run. status: type: string enum: - queued - running - succeeded - failed - cancelled description: >- queued until the engine picks the run up; succeeded, failed and cancelled are final. statusReason: description: >- Why a cancelled run stopped: `user`, `insufficient_credits` or `budget_exceeded`. Null otherwise. type: - string - 'null' progress: type: number description: Progress the engine reports; 0 until it reports any. createdAt: type: string format: date-time startedAt: anyOf: - type: string format: date-time - type: 'null' endedAt: anyOf: - type: string format: date-time - type: 'null' budget: description: Most credits the run may spend, if one was set. type: - number - 'null' creditsUsed: type: number description: Credits charged to the run so far. error: anyOf: - type: object properties: message: type: string required: - message - type: 'null' description: Set when status is failed. children: type: object properties: total: type: number queued: type: number running: type: number succeeded: type: number failed: type: number cancelled: type: number required: - total - queued - running - succeeded - failed - cancelled description: >- For engines that run each input as its own job: how many children are in each status. GET /v1/runs/{runId}/children lists them. links: type: object propertyNames: type: string additionalProperties: type: string description: >- Related endpoints: self, inputs (owner only), results, outputs, files. warnings: description: >- Set when the run was created but a follow-up step, such as adding it to a project, failed. type: array items: type: string required: - id - engine - name - access - owner - status - statusReason - progress - createdAt - startedAt - endedAt - budget - creditsUsed - error - links Error: type: object properties: error: type: object properties: code: type: string enum: - VALIDATION_FAILED - INVALID_ID - INVALID_PARAMETERS - INPUT_LIMIT_EXCEEDED - NOT_FOUND - FORBIDDEN - METHOD_NOT_ALLOWED - CONFLICT - PAYLOAD_TOO_LARGE - MISSING_CREDENTIALS - INVALID_CREDENTIALS - WRONG_ENVIRONMENT - CREDENTIALS_EXPIRED - CREDENTIALS_REVOKED - ACCOUNT_INACTIVE - API_ACCESS_NOT_ENABLED - INSUFFICIENT_SCOPE - SESSION_REQUIRED - TOO_MANY_AUTH_FAILURES - API_KEY_LIMIT_REACHED - ENGINE_NOT_ENABLED - DOCS_NOT_AVAILABLE - INSUFFICIENT_CREDITS - RUN_NOT_COMPLETE - ENGINE_SUBMIT_FAILED - RATE_LIMITED - SERVICE_UNAVAILABLE - INTERNAL_ERROR description: Stable within /v1; branch on this, not on the message. message: type: string description: Readable explanation, for people. details: description: >- Extra context, e.g. `issues` ({ path, message }[]) for validation errors. type: object propertyNames: type: string additionalProperties: {} required: - code - message required: - error responses: '400': description: >- The request is malformed. `error.code` is one of `VALIDATION_FAILED`, `INVALID_ID`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: VALIDATION_FAILED message: The request is malformed. '401': description: >- The API key is missing or not valid. `error.code` is one of `MISSING_CREDENTIALS`, `INVALID_CREDENTIALS`, `WRONG_ENVIRONMENT`, `CREDENTIALS_EXPIRED`, `CREDENTIALS_REVOKED`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: MISSING_CREDENTIALS message: The API key is missing or not valid. '402': description: >- Your organization doesn't have enough credits. `error.code` is one of `INSUFFICIENT_CREDITS`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: INSUFFICIENT_CREDITS message: Your organization doesn't have enough credits. '403': description: >- The key may not do this. `error.code` is one of `INSUFFICIENT_SCOPE`, `API_ACCESS_NOT_ENABLED`, `ENGINE_NOT_ENABLED`, `ACCOUNT_INACTIVE`, `FORBIDDEN`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: INSUFFICIENT_SCOPE message: The key may not do this. '404': description: Not found, or not visible to you. `error.code` is one of `NOT_FOUND`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: NOT_FOUND message: Not found, or not visible to you. '422': description: >- The parameters or input files don't fit the engine. `error.code` is one of `INVALID_PARAMETERS`, `INPUT_LIMIT_EXCEEDED`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: INVALID_PARAMETERS message: The parameters or input files don't fit the engine. '500': description: >- Something went wrong on our side. `error.code` is one of `INTERNAL_ERROR`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: INTERNAL_ERROR message: Something went wrong on our side. '502': description: >- The engine service rejected or failed the request. `error.code` is one of `ENGINE_SUBMIT_FAILED`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: ENGINE_SUBMIT_FAILED message: The engine service rejected or failed the request. securitySchemes: bearerAuth: type: http scheme: bearer description: >- An API key from the web app (**Settings → Developer**), sent as `Authorization: Bearer rvl_live_…`. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.