tesseract-runtimeUsage: tesseract-runtime [OPTIONS] COMMAND [ARGS]...Invoke the Tesseract runtime.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--name<str>Overwrite the `name` config ││option. ││--description<str>Overwrite the `description` ││config option. ││--version<str>Overwrite the `version` config ││option. ││--debugOverwrite the `debug` config ││option. ││--debugpy-host<str>Overwrite the `debugpy_host` ││config option. ││--debugpy-port<int>Overwrite the `debugpy_port` ││config option. ││--input-path<str>Overwrite the `input_path` config││option. ││--output-path<str>Overwrite the `output_path` ││config option. ││--output-format<json|json+base64|json+binref>Overwrite the `output_format` ││config option. ││--output-file<str>Overwrite the `output_file` ││config option. ││--compression<lz4>Overwrite the `compression` ││config option. ││--mlflow-tracking-uri<str>Overwrite the ││`mlflow_tracking_uri` config ││option. ││--mlflow-run-extra-args<str>Overwrite the ││`mlflow_run_extra_args` config ││option. ││--profilingOverwrite the `profiling` config ││option. ││--tracingOverwrite the `tracing` config ││option. ││--gpu-transport<none|cuda_ipc>Overwrite the `gpu_transport` ││config option. ││--install-completionInstall completion for the ││current shell. ││--show-completionShow completion for the current ││shell, to copy it or customize ││the installation. ││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Commands ───────────────────────────────────────────────────────────────────────────────────────╮│check Check whether the Tesseract API is valid. ││check-gradients Check gradients of endpoints against a finite difference approximation.││serve Start running this Tesseract's web server. ││apply Call the Tesseract function apply. ││jacobian Call the Tesseract function jacobian. ││jacobian-vector-productCall the Tesseract function jacobian-vector-product. ││vector-jacobian-productCall the Tesseract function vector-jacobian-product. ││health Call the Tesseract function health. ││abstract-eval Call the Tesseract function abstract-eval. ││test Call the Tesseract function test. ││openapi-schema Call the Tesseract function openapi-schema. │╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
tesseract-runtimeUsage: tesseract-runtime [OPTIONS] COMMAND [ARGS]...Invoke the Tesseract runtime.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--name<str>Overwrite the `name` config ││option. ││--description<str>Overwrite the `description` ││config option. ││--version<str>Overwrite the `version` config ││option. ││--debugOverwrite the `debug` config ││option. ││--debugpy-host<str>Overwrite the `debugpy_host` ││config option. ││--debugpy-port<int>Overwrite the `debugpy_port` ││config option. ││--input-path<str>Overwrite the `input_path` config││option. ││--output-path<str>Overwrite the `output_path` ││config option. ││--output-format<json|json+base64|json+binref>Overwrite the `output_format` ││config option. ││--output-file<str>Overwrite the `output_file` ││config option. ││--compression<lz4>Overwrite the `compression` ││config option. ││--mlflow-tracking-uri<str>Overwrite the ││`mlflow_tracking_uri` config ││option. ││--mlflow-run-extra-args<str>Overwrite the ││`mlflow_run_extra_args` config ││option. ││--profilingOverwrite the `profiling` config ││option. ││--tracingOverwrite the `tracing` config ││option. ││--gpu-transport<none|cuda_ipc>Overwrite the `gpu_transport` ││config option. ││--install-completionInstall completion for the ││current shell. ││--show-completionShow completion for the current ││shell, to copy it or customize ││the installation. ││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Commands ───────────────────────────────────────────────────────────────────────────────────────╮│check Check whether the Tesseract API is valid. ││check-gradients Check gradients of endpoints against a finite difference approximation.││serve Start running this Tesseract's web server. ││apply Call the Tesseract function apply. ││jacobian Call the Tesseract function jacobian. ││jacobian-vector-productCall the Tesseract function jacobian-vector-product. ││vector-jacobian-productCall the Tesseract function vector-jacobian-product. ││health Call the Tesseract function health. ││abstract-eval Call the Tesseract function abstract-eval. ││test Call the Tesseract function test. ││openapi-schema Call the Tesseract function openapi-schema. │╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
checkUsage: tesseract-runtime check [OPTIONS]Check whether the Tesseract API is valid.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
checkUsage: tesseract-runtime check [OPTIONS]Check whether the Tesseract API is valid.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
check-gradientsUsage: tesseract-runtime check-gradients [OPTIONS] {JSON_PAYLOAD}Check gradients of endpoints against a finite difference approximation.This is an automated way to check the correctness of the gradients of the different gradient endpoints(jacobian, jacobian_vector_product, vector_jacobian_product) of a ``tesseract_api.py`` module.It will sample random indices and compare the gradients computed by the gradient endpoints with thefinite difference approximation.Warning: Finite differences are not exact and the comparison is done with a tolerance. This means that the check may fail even if the gradients are correct, and vice versa.Finite difference approximations are sensitive to numerical precision. When finite differencesare reported incorrectly as 0.0, it is likely that the chosen `eps` is too small, especially forinputs that do not use float64 precision.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*JSON_PAYLOAD<str>JSON payload to pass to the Tesseract API. If prefixed with '@', ││it is treated as a file path. ││[required] │╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--input-paths<str>Paths to differentiable inputs to ││check gradients for. ││[default: (check all)] ││--output-paths<str>Paths to differentiable outputs to ││check gradients for. ││[default: (check all)] ││--endpoints<str>Endpoints to check gradients for.││[default: (check all)] ││--eps<float>Absolute step size for finite ││differences, applied unscaled to every││differentiated input that is not given││its own step via --eps-for. ││[default: 0.0001] ││--eps-forPATH=VALUEPer-input step size as PATH=VALUE, ││e.g. --eps-for inputs.a=1e-3. ││Overrides --eps for that input path; ││repeat for multiple paths. Use this ││for inputs whose magnitudes differ by ││orders of magnitude. ││--rtol<float>Relative tolerance when comparing ││finite differences to gradients. ││[default: 0.1] ││--max-evals<int>Maximum number of evaluations per ││input. ││[default: 1000] ││--max-output-samples<int>Maximum number of output elements ││sampled when checking ││vector_jacobian_product. ││[default: (check all)] ││--max-failures<int>Maximum number of failures to report ││per endpoint. ││[default: 10] ││--seed<int>Seed for random number generator. If ││not set, a random seed is used. ││--show-progress--no-show-progressShow progress bar. ││[default: show-progress]││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
check-gradientsUsage: tesseract-runtime check-gradients [OPTIONS] {JSON_PAYLOAD}Check gradients of endpoints against a finite difference approximation.This is an automated way to check the correctness of the gradients of the different gradient endpoints(jacobian, jacobian_vector_product, vector_jacobian_product) of a ``tesseract_api.py`` module.It will sample random indices and compare the gradients computed by the gradient endpoints with thefinite difference approximation.Warning: Finite differences are not exact and the comparison is done with a tolerance. This means that the check may fail even if the gradients are correct, and vice versa.Finite difference approximations are sensitive to numerical precision. When finite differencesare reported incorrectly as 0.0, it is likely that the chosen `eps` is too small, especially forinputs that do not use float64 precision.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*JSON_PAYLOAD<str>JSON payload to pass to the Tesseract API. If prefixed with '@', ││it is treated as a file path. ││[required] │╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--input-paths<str>Paths to differentiable inputs to ││check gradients for. ││[default: (check all)] ││--output-paths<str>Paths to differentiable outputs to ││check gradients for. ││[default: (check all)] ││--endpoints<str>Endpoints to check gradients for.││[default: (check all)] ││--eps<float>Absolute step size for finite ││differences, applied unscaled to every││differentiated input that is not given││its own step via --eps-for. ││[default: 0.0001] ││--eps-forPATH=VALUEPer-input step size as PATH=VALUE, ││e.g. --eps-for inputs.a=1e-3. ││Overrides --eps for that input path; ││repeat for multiple paths. Use this ││for inputs whose magnitudes differ by ││orders of magnitude. ││--rtol<float>Relative tolerance when comparing ││finite differences to gradients. ││[default: 0.1] ││--max-evals<int>Maximum number of evaluations per ││input. ││[default: 1000] ││--max-output-samples<int>Maximum number of output elements ││sampled when checking ││vector_jacobian_product. ││[default: (check all)] ││--max-failures<int>Maximum number of failures to report ││per endpoint. ││[default: 10] ││--seed<int>Seed for random number generator. If ││not set, a random seed is used. ││--show-progress--no-show-progressShow progress bar. ││[default: show-progress]││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
serveUsage: tesseract-runtime serve [OPTIONS]Start running this Tesseract's web server.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--host<str>Host IP address[default: 127.0.0.1]││--port<int>Port number[default: 8000]││--num-workers<int>Number of worker processes[default: 1]││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
serveUsage: tesseract-runtime serve [OPTIONS]Start running this Tesseract's web server.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--host<str>Host IP address[default: 127.0.0.1]││--port<int>Port number[default: 8000]││--num-workers<int>Number of worker processes[default: 1]││--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
applyUsage: tesseract-runtime apply [OPTIONS] {payload}Apply the Tesseract to the input data.Multiplies a vector `a` by `s`, and sums the result to `b`.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to apply the Tesseract to. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. Returns: The output data from applying the Tesseract. result: Vector s·a + b╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
applyUsage: tesseract-runtime apply [OPTIONS] {payload}Apply the Tesseract to the input data.Multiplies a vector `a` by `s`, and sums the result to `b`.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to apply the Tesseract to. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. Returns: The output data from applying the Tesseract. result: Vector s·a + b╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
jacobianUsage: tesseract-runtime jacobian [OPTIONS] {payload}Computes the Jacobian of the Tesseract.Differentiates ``jac_outputs`` with respect to ``jac_inputs``, at the point ``inputs``.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the Jacobian at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. jac_inputs: The set of differentiable inputs to compute the Jacobian with respect to. jac_outputs: The set of differentiable outputs to compute the Jacobian of.Returns: Container for the results of Jacobian computations. The result represents a nested structure of the Jacobian matrix as a mapping with structure ``{jac_outputs: {jac_inputs: array}}``. The shape of each array is the concatenation of the shapes of the output and input arrays, i.e. ``(*output_array.shape, *input_array.shape)``.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
jacobianUsage: tesseract-runtime jacobian [OPTIONS] {payload}Computes the Jacobian of the Tesseract.Differentiates ``jac_outputs`` with respect to ``jac_inputs``, at the point ``inputs``.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the Jacobian at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. jac_inputs: The set of differentiable inputs to compute the Jacobian with respect to. jac_outputs: The set of differentiable outputs to compute the Jacobian of.Returns: Container for the results of Jacobian computations. The result represents a nested structure of the Jacobian matrix as a mapping with structure ``{jac_outputs: {jac_inputs: array}}``. The shape of each array is the concatenation of the shapes of the output and input arrays, i.e. ``(*output_array.shape, *input_array.shape)``.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
jacobian-vector-productUsage: tesseract-runtime jacobian-vector-product [OPTIONS] {payload}Compute the Jacobian vector product of the Tesseract at the input data.Evaluates the Jacobian vector product between the Jacobian given by ``jvp_outputs``with respect to ``jvp_inputs`` at the point ``inputs`` and the given tangent vector.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the JVP at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. jvp_inputs: The set of differentiable inputs to compute the JVP with respect to. jvp_outputs: The set of differentiable outputs to compute the JVP of. tangent_vector: Tangent vector to multiply the Jacobian with. Expected to be a mapping with structure ``{jvp_inputs: array}``. The shape of each array is the same as the shape of the corresponding input array.Returns: Container for the results of Jacobian-vector products. The result is a mapping with structure ``{jvp_outputs: array}``. The shape of each array is the same as the shape of the corresponding output array.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
jacobian-vector-productUsage: tesseract-runtime jacobian-vector-product [OPTIONS] {payload}Compute the Jacobian vector product of the Tesseract at the input data.Evaluates the Jacobian vector product between the Jacobian given by ``jvp_outputs``with respect to ``jvp_inputs`` at the point ``inputs`` and the given tangent vector.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the JVP at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. jvp_inputs: The set of differentiable inputs to compute the JVP with respect to. jvp_outputs: The set of differentiable outputs to compute the JVP of. tangent_vector: Tangent vector to multiply the Jacobian with. Expected to be a mapping with structure ``{jvp_inputs: array}``. The shape of each array is the same as the shape of the corresponding input array.Returns: Container for the results of Jacobian-vector products. The result is a mapping with structure ``{jvp_outputs: array}``. The shape of each array is the same as the shape of the corresponding output array.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
vector-jacobian-productUsage: tesseract-runtime vector-jacobian-product [OPTIONS] {payload}Compute the Jacobian vector product of the Tesseract at the input data.Computes the vector Jacobian product between the Jacobian given by ``vjp_outputs``with respect to ``vjp_inputs`` at the point ``inputs`` and the given cotangent vector.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the VJP at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. vjp_inputs: The set of differentiable inputs to compute the VJP with respect to. vjp_outputs: The set of differentiable outputs to compute the VJP of. cotangent_vector: Cotangent vector to multiply the Jacobian with. Expected to be a mapping with structure ``{vjp_outputs: array}``. The shape of each array is the same as the shape of the corresponding output array.Returns: Container for the results of vector-Jacobian products. The result is a mapping with structure ``{vjp_inputs: array}``. The shape of each array is the same as the shape of the corresponding input array.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
vector-jacobian-productUsage: tesseract-runtime vector-jacobian-product [OPTIONS] {payload}Compute the Jacobian vector product of the Tesseract at the input data.Computes the vector Jacobian product between the Jacobian given by ``vjp_outputs``with respect to ``vjp_inputs`` at the point ``inputs`` and the given cotangent vector.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The input data to compute the VJP at. a: An arbitrary vector normalized according to [...] b: An arbitrary vector. Needs to have the same dimensions as a. s: A scalar. normalize: True if the output should be normalized, False otherwise. vjp_inputs: The set of differentiable inputs to compute the VJP with respect to. vjp_outputs: The set of differentiable outputs to compute the VJP of. cotangent_vector: Cotangent vector to multiply the Jacobian with. Expected to be a mapping with structure ``{vjp_outputs: array}``. The shape of each array is the same as the shape of the corresponding output array.Returns: Container for the results of vector-Jacobian products. The result is a mapping with structure ``{vjp_inputs: array}``. The shape of each array is the same as the shape of the corresponding input array.╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
healthUsage: tesseract-runtime health [OPTIONS]Get health status of the Tesseract instance.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
healthUsage: tesseract-runtime health [OPTIONS]Get health status of the Tesseract instance.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
abstract-evalUsage: tesseract-runtime abstract-eval [OPTIONS] {payload}Perform abstract evaluation of the Tesseract on the input data.Calculate output shape of apply from the shape of its inputs.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The abstract input data to evaluate the Tesseract on. Has the same structure as InputSchema, but with array fields replaced by ShapeDType. a: An arbitrary vector normalized according to [...] shape: None dtype: None b: An arbitrary vector. Needs to have the same dimensions as a. shape: None dtype: None s: A scalar. normalize: True if the output should be normalized, False otherwise. Returns: Abstract outputs with the same structure as OutputSchema, but with array fields replaced by ShapeDType. result: Vector s·a + b shape: None dtype: None╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
abstract-evalUsage: tesseract-runtime abstract-eval [OPTIONS] {payload}Perform abstract evaluation of the Tesseract on the input data.Calculate output shape of apply from the shape of its inputs.First argument is the payload, which should be a JSON object with the following structure.Input schema: inputs: The abstract input data to evaluate the Tesseract on. Has the same structure as InputSchema, but with array fields replaced by ShapeDType. a: An arbitrary vector normalized according to [...] shape: None dtype: None b: An arbitrary vector. Needs to have the same dimensions as a. shape: None dtype: None s: A scalar. normalize: True if the output should be normalized, False otherwise. Returns: Abstract outputs with the same structure as OutputSchema, but with array fields replaced by ShapeDType. result: Vector s·a + b shape: None dtype: None╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
testUsage: tesseract-runtime test [OPTIONS] {payload}Run a single regression test against a Tesseract endpoint.Tests an endpoint by calling it with specified inputs and comparing outputsagainst expected values or verifying expected exceptions are raised.Args: payload: Test specification containing: - endpoint: Name of endpoint to test (e.g., "apply", "jacobian") - payload: Input data for the endpoint - expected_outputs: Expected output data (mutually exclusive with expected_exception) - expected_exception: Expected exception type or name (mutually exclusive with expected_outputs) - expected_exception_regex: Optional regex pattern for exception message - atol: Absolute tolerance for numeric comparisons (default: 1e-8) - rtol: Relative tolerance for numeric comparisons (default: 1e-5)Returns: TestOutputSchema with: - status: "passed" | "failed" | "error" - message: Empty for passed tests, error details for failed/error - endpoint: Name of the tested endpointNote: This endpoint is designed for testing and CI/CD workflows. All outcomes return HTTP 200 with status in the response body regardless of success/failure.First argument is the payload, which should be a JSON object with the following structure.Input schema: endpoint: None payload: None expected_outputs: None expected_exception: None expected_exception_regex: None atol: None rtol: None skip_output_path_checks: None cli_config: NoneReturns: status: None message: None endpoint: None╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
testUsage: tesseract-runtime test [OPTIONS] {payload}Run a single regression test against a Tesseract endpoint.Tests an endpoint by calling it with specified inputs and comparing outputsagainst expected values or verifying expected exceptions are raised.Args: payload: Test specification containing: - endpoint: Name of endpoint to test (e.g., "apply", "jacobian") - payload: Input data for the endpoint - expected_outputs: Expected output data (mutually exclusive with expected_exception) - expected_exception: Expected exception type or name (mutually exclusive with expected_outputs) - expected_exception_regex: Optional regex pattern for exception message - atol: Absolute tolerance for numeric comparisons (default: 1e-8) - rtol: Relative tolerance for numeric comparisons (default: 1e-5)Returns: TestOutputSchema with: - status: "passed" | "failed" | "error" - message: Empty for passed tests, error details for failed/error - endpoint: Name of the tested endpointNote: This endpoint is designed for testing and CI/CD workflows. All outcomes return HTTP 200 with status in the response body regardless of success/failure.First argument is the payload, which should be a JSON object with the following structure.Input schema: endpoint: None payload: None expected_outputs: None expected_exception: None expected_exception_regex: None atol: None rtol: None skip_output_path_checks: None cli_config: NoneReturns: status: None message: None endpoint: None╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────╮│*payload<str>[required]│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
openapi-schemaUsage: tesseract-runtime openapi-schema [OPTIONS]Get the openapi.json schema.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
openapi-schemaUsage: tesseract-runtime openapi-schema [OPTIONS]Get the openapi.json schema.╭─ Options ────────────────────────────────────────────────────────────────────────────────────────╮│--helpShow this message and exit.│╰──────────────────────────────────────────────────────────────────────────────────────────────────╯