langchain_core.runnables.config.RunnableConfig¶
class langchain_core.runnables.config.RunnableConfig[source]¶
Configuration for a Runnable.
Attributes
tags
Tags for this call and any sub-calls (eg.
metadata
Metadata for this call and any sub-calls (eg.
callbacks
Callbacks for this call and any sub-calls (eg.
run_name
Name for the tracer run for this call.
max_concurrency
Maximum number of parallel calls to make.
recursion_limit
Maximum number of times a call can recurse.
configurable
Runtime values for attributes previously made configurable on this Runnable, or sub-Runnables, through .configurable_fields() or .configurable_alternatives().
Methods
__init__(*args, **kwargs)
clear()
copy()
fromkeys([value])
Create a new dictionary with keys from iterable and values set to value.
get(key[, default])
Return the value for key if key is in the dictionary, else default.
items()
keys()
pop(k[,d])
If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem()
Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])
Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)
If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v In either case, this is followed by: for k in F:  D[k] = F[k]
values()
__init__(*args, **kwargs)¶